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Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: P2P poor quality indicator data query. Functional process: Query the details of P2P poor quality index data. Sub-process description: output the detailed query results of P2P poor quality indicator data. Data movement type: X. Data group: P2P poor quality index data details query results. Data attributes: Pager Mode message sending total delay (P2P), Large Mode message sending total delay (P2P), Large Mode message receiving delay (P2P), Large Mode MRSP message receiving success rate (P2P), UP2.4 terminal Large Mode message sending success rate (P2P), UP2.4 terminal Large Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message sending success rate (P2P), P2P poor quality indicators, Large Mode MRSP message sending Total Latency (P2P).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: export of chatbot terminal rule configuration data with poor quality. Functional process: chatbot poor quality terminal rule configuration data export. Sub-process description: read chatbot poor quality terminal rule configuration export template. Data movement type: R. Data group: chatbot poor quality terminal rule configuration export template. Data attribute: chatbot poor quality terminal rule configuration export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Chatbot business indicator monitoring data export. Functional process: Chatbot business indicator monitoring data export. Sub-process description: read the Chatbot business indicator monitoring export template. Data movement type: R. Data group: Chatbot business indicator monitoring export template. Data attribute: Chatbot business indicator monitoring export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message user number indicator data query. Functional process: Query the details of the 5G message user number indicator data. Sub-process description: output the detailed query results of the number of 5G news users index data. Data movement type: X. Data group: 5G message user number indicator data details query result. Data attributes: the total time delay of messages uplinked from users to Chatbot, the total number of messages downlinked from Chatbot to users, the number of times messages successfully downlinked from Chatbot to users, the number of times messages successfully uplinked from users to Chatbot, the success rate of messages downlinked from Chatbot to users, and the number of messages downlinked from Chatbot to users. The total number of messages uplinked to Chatbot, the total delay of messages downlinked from Chatbot to users, the average delay of messages downlinked from Chatbot to users, the number of 5G message users, the success rate of messages uplinked by users to Chatbot, and the average message uplinked by users to Chatbot delay.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data export. Functional process: 5G voice EPSFB call duration analysis data export. Sub-process description: Read the 5G voice EPSFB call duration analysis export template. Data movement type: R. Data group: 5G voice EPSFB call duration analysis export template. Data attribute: 5G voice EPSFB call duration analysis export template.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality delay rule configuration data query. Function process: VOLTE poor voice quality delay rule configuration data list query. Sub-process description: output the query result of VOLTE voice quality delay rule configuration data list. Data movement type: X. Data group: query result of VOLTE voice quality delay rule configuration data list. Data attributes: quality factors of core network indicators (proportion of poor quality core network), quality factors of individual user indicators (according to the number of attempts), number of community users, quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), community The proportion of poor quality indicators, the average delay of VOLTE re-registration, the average delay of VOLTE initial registration, the configuration of VOLTE voice quality delay rules, the delay of successful third-party registration, the proportion of network element quality indicators, and VOLTE voice connection average latency.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: Export of EPSFB network access analysis data. Functional process: EPSFB network access analysis data export. Sub-process description: input EPSFB network access analysis export request. Data movement type: E. Data group: EPSFB network access analysis export operation command. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: Deletion of VONR voice quality delay rule configuration data. Functional process: Delete the configuration data of VONR voice quality delay rule. Sub-process description: Return the deletion result. Data movement type: X. Data group: VONR poor voice quality delay rule configuration data deletion result. Data attributes: delete time, delete quantity.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of key factors of poor business development quality. Functional process: Data export of key factors of poor business development quality. Sub-process description: read the data of key factors of poor business development quality. Data movement type: R. Data group: data on key factors of poor business development quality. Data attributes: number of successful TCP establishments (wireless side), number of successful TCP establishments (core network), total delay of TCP establishments, core network indicator quality factors, key factors of business development quality failure, proportion of poor quality factors, user indicator quality The poor factor, the poor quality factor of the city index, the total delay of TCP establishment (wireless side).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: Query of aggregated dimension data with poor terminal quality. Functional process: Query the details of aggregated dimension data with poor terminal quality. Sub-process description: Input the request for querying the details of aggregated dimension data with poor quality in the terminal. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Export of aggregated indicator data for message group sending. Functional process: export of aggregated indicator data for message group sending. Sub-process description: read the export template of aggregate indicators for message group sending. Data movement type: R. Data group: the export template of aggregate indicators for group message sending. Data attribute: the export template of aggregate indicators for message group sending.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality delay rule configuration data modification. Functional process: VONR poor voice quality delay rule configuration data modification. Sub-process description: Update the configuration data of VONR voice quality delay rule. Data movement type: W. Data group: modified VONR voice quality delay rule configuration data. Data attributes: core network indicators poor quality factor (proportion of poor quality core network), VONR initial registration average delay, number of indicators participating in poor quality cell judgment, ratio of cell quality indicators, VONR poor voice quality delay rule configuration , the proportion of poor quality indicators of terminals, and the factors of poor quality indicators of prefectural cities (proportion of poor quality prefectures and cities).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: Generate business development indicator analysis data table. Functional process: business development index analysis data table generation (GP business library). Sub-process description: Generate business development indicators and analyze abnormal data log writing. Data movement type: W. Data group: Abnormal data log for analysis of business development indicators. Data attributes: error code, error description, abnormal source data information for business development indicator analysis.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G messaging service requirements, analysis and forecasting of 5G messaging terminal numbers. Trigger event: 5G message terminal analysis data export. Functional process: 5G message terminal analysis data export. Sub-process description: export 5G message terminal analysis data. Data movement type: X. Data group: 5G message terminal analysis data. Data attributes: the number of 5G message terminals in n+3 months, the number of 5G message terminals in n+2 months, the growth rate of 5G message terminals in n+3 months, the load of 5G message terminals in n+3 months, the load of 5G message terminals in this month, City, 5G message terminal analysis, n+1 month 5G message terminal number.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data conversion. Sub-process description: Save 5G voice VONR call duration analysis data conversion data. Data movement type: W. Data group: converted 5G voice VONR call duration analysis data. Data attributes: times of VoNR calls falling back to 4G network connection (called), times of VoNR calls falling back to 4G normal release after being connected (called), times of total connection delay measurement (VoNR), VoNR calls falling back to 4G network not connected Number of times (called), total connection delay (VoNR), times of normal 4G releases after VoNR calls are connected (calling), times of 4G network drops after VoNR calls are connected, times of normal releases after VoNR calls are connected (callers) calls), VONR call duration growth rate, 5G voice VONR call duration analysis.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Registration class poor quality rule configuration data export. Functional process: registration class poor quality rule configuration data export. Sub-process description: Export the configuration data of registration class poor quality rules. Data movement type: X. Data group: registration class poor quality rule configuration data. Data attributes: configuration of poor-quality registration rules, success rate of re-registration, number, operator, poor-quality factors for individual user indicators, poor-quality factors for wireless indicators, poor-quality ratios, and poor-quality factors for prefecture-city indicators.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: EPSFB voice indicator warning data deletion. Functional process: EPSFB voice indicator warning data deletion. Sub-process description: update EPSFB voice index warning data. Data movement type: W. Data group: EPSFB voice index warning data after deletion. Data attributes: EPSFB voice call drop rate, EPSFB voice indicator warning, EPSFB voice call duration, EPSFB voice fallback average delay, EPSFB registered user number, EPSFB voice switching success rate, EPSFB active user number, EPSFB voice fallback success rate, EPSFB voice Call completion rate, growth rate of EPSFB registered users, growth rate of EPSFB active users.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VOLTE voice indicator warning data added. Function process: VOLTE voice indicator warning data is added. Sub-process description: read VOLTE voice indicator warning data. Data movement type: R. Data group: VOLTE voice indicators early warning data. Data attributes: average VOLTE registration delay, VOLTE final call voice connection rate, VOLTE voice connection average delay, VOLTE re-registration average delay, VOLTE initial registration success rate, VOLTE initial call voice connection average delay, VOLTE users Voice response rate, VOLTE initial registration average delay, VOLTE final call voice network connection rate, VOLTE re-registration success rate, VOLTE voice indicator warning.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: NE fallback aggregation dimension data export. Functional process: Network element fallback aggregation dimension data export. Sub-process description: read the data of the NE fallback aggregation dimension. Data movement type: R. Data group: NE fallback aggregation dimension data. Data attributes: UP2.4 terminal Pager Mode message reception success rate (P2P), 5G message delivery success rate, UP2.4 terminal Large Mode message reception success rate (P2P), message center success rate of receiving messages submitted by mobile phones, message center The success rate of messages sent to mobile phones, the success rate of UP2.4 terminal logout, network elements, network elements fall back to the aggregation dimension.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data modification. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data modification. Sub-process description: Return the modification result. Data movement type: X. Data group: UP2.4 terminal P2P short message prediction rule configuration data modification results. Data attributes: modification time, change record.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: P2P message index data export of poor quality terminals. Functional process: Export the P2P message index data of poor quality terminals. Sub-process description: read the P2P message index data of poor-quality terminals. Data movement type: R. Data group: P2P message index data of poor quality terminals. Data attributes: poor quality terminal P2P message indicators, terminal brand, tac, core network factors, success rate of p2p message reception, conclusion, wireless network factors, average p2p message sending delay, user factors, average p2p message receiving delay, p2p Message sending success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of terminal delay. Trigger event: Export of terminal overall VONR delay data. Functional process: export the overall VONR delay data of the terminal. Sub-process description: Read the overall VONR delay data of the terminal. Data movement type: R. Data group: the overall VONR delay data of the terminal. Data attributes: 5G core network delay 1 (VoNR), tac, connection delay (VoNR), total called response delay (VoNR), total connection delay measurement times (VoNR), overall terminal VONR delay, 5G core network total delay 1 (VoNR), wireless total delay measurement times (VoNR), IMS domain total delay (VoNR), IMS forwarding and called paging delay (VoNR).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query of business indicators, city trend analysis. Functional process: Detailed query of business indicators, prefecture and city trend analysis data. Sub-process description: Output the detailed query results of business indicators, city trend analysis data. Data movement type: X. Data group: detailed query results of business indicators, prefecture and city trend analysis data. Data attributes: sorting level, HTTP total delay, TCP establishment success rate, business index city trend analysis, TCP establishment total delay, threshold value, TCP establishment average response delay, HTTP average response delay, date, HTTP business Success rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR registration class quality closed-loop data export. Functional process: VONR registration class quality closed-loop data export. Sub-process description: Input VONR registration class quality closed-loop export request. Data movement type: E. Data group: VONR registration class quality closed-loop export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query of business indicators, city trend analysis. Functional process: Detailed query of business indicators, prefecture and city trend analysis data. Description of the sub-process: Input the inquiry request for the details of the business indicator city trend analysis data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VOLTE voice indicator warning data added. Function process: VOLTE voice indicator warning data is added. Sub-process description: Input the new request for VOLTE voice index warning data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: Data export of key indicators of 5G message business. Functional process: export key indicator data of 5G message business. Sub-process description: export the key indicator data of 5G message business. Data movement type: X. Data group: key indicator data of 5G message business. Data attributes: TCP establishment total delay (wireless side), TCP establishment success rate, TCP establishment success times, HTTP response average delay, 5G message business key indicators, terminal initiated storage server authentication success rate, HTTP business success times , the total delay of TCP establishment, the number of successful TCP establishments (core network), the total number of authentications initiated by the terminal to the storage server, and the total delay of HTTP responses.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Triggering event: Query for registration index data of poor quality NEs. Functional process: Query the list of registered index data of poor-quality network elements. Sub-process description: Read the list information of poor-quality network element registration index data. Data movement type: R. Data group: list information of poor quality network element registration index data list. Data attributes: the number of initial registration requests by the calling party, the total delay of the initial registration by the called party, the number of returned non-registered calls by the called party, the number of initial registration requests by the called party, the number of successful initial registrations by the calling party, the total delay in the initial registration by the calling party, and the initial registration delay by the called party. The number of registration failures, the number of called initial registration delay measurements, the registration indicators of poor quality network elements, and the number of initial registration requests.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: business indicator monitoring data query. Functional process: query the details of business indicator monitoring data. Sub-process description: Output the detailed query results of business indicator monitoring data. Data movement type: X. Data group: query result of business indicator monitoring data details. Data attributes: total delay of TCP first transaction response, average delay of HTTP response, business indicator monitoring, number of attempts, total TCP establishment delay (core network), proportion, total TCP establishment delay (wireless side).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data query. Function process: 5G voice VOLTE call duration analysis data list query. Sub-process description: output 5G voice VOLTE call duration analysis data list query results. Data movement type: X. Data group: 5G voice VOLTE call duration analysis data list query results. Data attributes: VOLTE network voice connection rate, VOLTE registration success rate, VOLTE re-registration success rate, VOLTE re-registration average delay, VOLTE user voice response rate, VOLTE initial registration success rate, VOLTE initial registration average delay, 5G voice VOLTE Analysis of call duration.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality cell analysis. Trigger event: Inquiry of call quality indicator data in poor quality cells. Functional process: Query the call quality index data list of poor quality cells. Sub-process description: Output query results of call quality index data list of poor quality cells. Data movement type: X. Data group: the query result of the data list of call quality indicators in poor quality cells. Data attributes: prefecture, city, number of poor quality indicators, cell, VoNR (voice) downlink average MOS, EPSFB (RTP uplink packet loss rate), EPSFB (RTP uplink MOS), EPSFB call drop rate, EPSFB (RTP downlink packet loss rate) , Call quality indicators in poor quality cells, VoNR (voice) drop rate, VoNR (voice) uplink average MOS.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 end user number prediction rule configuration data export. Functional process: UP2.4 end user number prediction rule configuration data export. Sub-process description: Read the UP2.4 terminal user number prediction rule configuration export template. Data movement type: R. Data group: UP2.4 terminal user number prediction rule configuration export template. Data attribute: UP2.4 terminal user number prediction rule configuration export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of poor-quality terminal registration indicator data. Functional process: Export of poor-quality terminal registration index data. Sub-process description: read the poor-quality terminal registration index data. Data movement type: R. Data group: poor-quality terminal registration indicator data. Data attributes: tac, average registration delay, average registration delay, poor-quality terminal registration indicators, conclusions, city factors, wireless network factors, terminal models, and user factors.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data table is generated. Functional process: IMS domain delay index data statistics (HBASE library). Sub-process description: Save the statistical results of IMS domain delay index data to the HBASE library. Data movement type: W. Data group: statistical results of IMS domain latency index data. Data attributes: IMS forwarding and called paging total delay (VoNR), IMS domain delay index, IMS domain delay (VNR2VNR), IMS domain total delay measurement times (VNR2VNR), called response total delay measurement times (VNR2VNR), IMS forwarding and called paging total delay (VoNR), IMS domain total delay (VNR2VNR), IMS domain delay (VoNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicator warning data deletion. Functional process: VONR voice indicator warning data deletion. Sub-process description: Update VONR voice indicator warning data. Data movement type: W. Data group: Deleted VONR voice index warning data. Data attributes: success rate of VONR voice fallback, VONR voice index warning, growth rate of VONR registered users, number of VONR registered users, average delay of VONR voice fallback, VONR voice call completion rate, VONR voice call drop rate, VONR voice call duration Growth rate, success rate of VONR voice switching, growth rate of VONR active users, number of VONR active users.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: Data query of poor quality indicators for business development. Functional process: Query the data list of poor quality indicators for business development. Sub-process description: Input query request for data list of poor quality indicators of business development category. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: Query the ranking data of registered cities and cities. Functional process: Query the details of the ranking data of registered index cities. Sub-process description: Read the detailed data of the ranking of the registration index cities. Data movement type: R. Data group: detailed data on the ranking of registered index prefectures and cities. Data attributes: sorting level, city, date, mobility registration success rate, initial registration total delay, emergency registration total delay, registration indicator city ranking.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data collection. Sub-process description: Input 5G voice VONR call duration analysis data collection request. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, city ranking and trend of VoNR calling delay. Trigger event: EPSFB time delay ranking and trend data query. Functional process: query the ranking and trend data details of EPSFB delay. Sub-process description: output the ranking and trend data query results of EPSFB delay. Data movement type: X. Data group: EPSFB delay ranking and trend data detailed query results. Data attributes: EPSFB drop-back average delay, prefecture and city, ranking and trend of EPSFB delay, EPSFB initial call drop-back success times, EPSFB final call connection times, EPSFB initial call connection average delay, districts and counties, EPSFB initial call drop-back average latency.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality P2P service data tables. Functional process: poor quality P2P business data statistics (HBASE library). Sub-process description: read poor-quality P2P business data. Data movement type: R. Data set: poor quality P2P business data. Data attributes: page (mode message sending success times (p2p)), page (mode message sending average delay (p2p)), p2p business quality poor core network factors, large (mode message sending success rate (p2p)), p2p business Poor quality conclusion, large (number of successful mode message sending (p2p)), date, page (mode message sending success rate (p2p)), city, large (mode message sending times (p2p)), poor quality P2P business.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: data query for the analysis data of poor-quality terminal connection indicators. Functional process: Query the details of the analysis data of poor-quality terminal connection indicators. Sub-process description: Input a request for querying the details of the analysis data of the poor-quality terminal connection indicator factors. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: register indicator monitoring data query. Functional process: Query the details of registration indicator monitoring data. Sub-process description: Enter a query request for registration indicator monitoring data details. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: File transfer class poor quality rule configuration data export. Functional process: file transfer class poor quality rule configuration data export. Sub-process description: read the configuration data of the poor quality rule of the file transfer class. Data movement type: R. Data group: configuration data for file transfer class poor quality rules. Data attributes: prefecture-city indicator quality factor, number, file upload success rate, wireless indicator quality factor, core network indicator quality factor, poor quality ratio, file download success rate, individual user indicator quality factor, file transfer category Poor quality rule configuration.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: Query the ranking data of registered cities and cities. Functional process: query the list of ranking data of registered index cities. Sub-process description: Input the query request for the ranking data list of registered index prefectures and cities. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data modification. Functional process: Modify the configuration data of EPSFB poor voice quality connection rules. Sub-process description: Return the modification result. Data movement type: X. Data group: EPSFB poor voice quality connection rule configuration data modification result. Data attributes: modification time, change record.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: EPSFB voice service quality monitoring indicator data display. Functional process: EPSFB voice service quality monitoring indicator data display. Sub-process description: read EPSFB voice service quality monitoring indicator data. Data movement type: R. Data group: EPSFB voice service quality monitoring index data. Data attributes: EPSFB network voice connection rate, EPSFB call-in voice connection rate, EPSFB handover and fallback average delay, EPSFB redirection fallback average delay, EPSFB voice service quality monitoring indicators, EPSFB voice average delay, prefecture and city, EPSFB Trigger average delay, EPSFB voice downlink average delay.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Group sending indicator monitoring data query. Functional process: query the group sending index monitoring data list. Sub-process description: Enter the query request for the monitoring data list of group sending indicators. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: register indicator monitoring data query. Functional process: register indicator monitoring data list query. Sub-process description: Read the registration indicator monitoring data list information. Data movement type: R. Data group: Register indicator monitoring data list information. Data attributes: normal UE registration success rate, registration index monitoring, number of attempts, total initial registration delay, emergency registration success rate, emergency registration total delay, initial registration success rate, common network side total delay, Proportion.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data query. Functional process: VOLTE voice demand forecast configuration data list query. Sub-process description: read VOLTE voice demand forecast configuration data list information. Data movement type: R. Data group: VOLTE voice demand forecast configuration data list information. Data attributes: VOLTE initial call voice connection rate poor quality threshold, VOLTE user voice response rate poor quality threshold, VOLTE initial call voice response rate poor quality threshold, VOLTE final call voice network connection rate poor quality threshold, VOLTE third-party registration success Poor rate threshold, VOLTE registration success rate poor quality threshold, VOLTE final call voice connection rate poor quality threshold, VOLTE voice connection rate poor quality threshold, VOLTE voice uplink RTP packet loss rate poor quality threshold, index forecast historical data months , VOLTE voice demand forecast configuration.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: The configuration data of the chatbot poor quality terminal rule is added. Functional process: Added chatbot terminal rule configuration data with poor quality. Sub-process description: read chatbot poor quality terminal rule configuration data. Data movement type: R. Data group: chatbot poor quality terminal rule configuration data. Data attributes: chatbot downlink to user establishment average delay index threshold, user uplink to chatbot establishment success rate index threshold, chatbot poor quality terminal rule configuration, user uplink to chatbot establishment average delay index threshold, effective or not, number, rule name.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data query. Functional process: 5G message user & terminal early warning data list query. Sub-process description: Read 5G message user & terminal early warning data list information. Data movement type: R. Data group: 5G message user & terminal early warning data list information. Data attributes: Initial registration success rate, UP2.4 terminal 5G message user growth rate, 5G message user & terminal warning, 5G message terminal growth rate, 5G message user growth rate, Pager Mode message sending success rate (P2P), Pager Mode message Sending success rate (group sending), the number of UP2.4 terminal 5G message terminals.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message user number indicator data query. Functional process: Query the list of 5G message user number index data. Sub-process description: Enter the query request for the list of 5G message user number index data. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VOLTE voice service quality monitoring indicator data display. Functional process: VOLTE voice service quality monitoring indicator data display. Sub-process description: read VOLTE voice service quality monitoring indicator data. Data movement type: R. Data group: VOLTE voice service quality monitoring index data. Data attributes: VoLTE final call voice response rate, VOLTE voice service quality monitoring indicators, VoLTE registration success rate, VoLTE network voice connection rate, VoLTE third-party registration success rate, VoLTE re-registration success rate, VoLTE third-party registration success delay, VoLTE origination voice response rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR voice quality poor registration rule configuration data is added. Function process: The configuration data of VONR poor voice quality registration rules is added. Sub-process description: Update the configuration data of VONR poor voice quality registration rules. Data movement type: W. Data group: newly added VONR poor voice quality registration rule configuration data. Data attributes: the number of indicators participating in the judgment of poor-quality communities, the number of users in the community, the configuration of VONR voice quality registration rules, the quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), the success rate of VoNR initial registration, and the initial registration of VoNR Success rate, individual user indicator quality factors (according to the number of attempts), the proportion of the number of poor quality indicators in the cell, the proportion of the number of terminal quality indicators, the proportion of the number of network element quality indicators, and the initial registration success rate of VoNR callers.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data modification. Functional process: P2P indicator monitoring rule configuration data modification. Sub-process description: update P2P indicator monitoring rule configuration data. Data movement type: W. Data group: the modified P2P indicator monitoring rule configuration data. Data attributes: dynamic threshold position, indicator English name, p2p business indicator, KPI proportion, indicator Chinese name, poor quality threshold, P2P indicator monitoring rule configuration, comparison conditions.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE voice quality is poor and the connection rule configuration data is deleted. Functional process: Delete the connection rule configuration data for poor VOLTE voice quality. Sub-process description: Delete the connection rule configuration data of VOLTE poor voice quality. Data movement type: W. Data group: configuration data of VOLTE poor voice quality connection rules to be deleted. Data attributes: the number of users in the community, the proportion of poor network element quality indicators, the 4G network connection rate of VOLTE call fallback, the quality factor of individual user indicators (according to the number of attempts), the configuration of VOLTE voice quality poor connection rules, and the success rate of EPS fallback , Factors of poor quality of core network indicators (proportion of core network with poor quality), proportion of poor quality indicators of communities.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB call quality quality closed-loop data table generation. Functional process: EPSFB call quality closed-loop data table generation (GP service library). Sub-process description: generate EPSFB call quality closed-loop data table. Data movement type: W. Data group: EPSFB call quality closed-loop data table. Data attributes: index normal value (1 point), index deterioration value (2 points), index deterioration value (11 points), index normal value (22 points), index deterioration value (14 points), EPSFB call quality quality closed loop, Index deterioration value (17 points), index deterioration value (10 points).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message terminal count indicator data export. Functional process: 5G message terminal number indicator data export. Sub-process description: export 5G message terminal number indicator data. Data movement type: X. Data group: 5G message terminal number indicator data. Data attributes: 5G message terminal number indicator, UP2.4 terminal Large Mode message reception success rate (P2P), UP2.4 terminal initial registration success times, UP2.4 terminal initial registration total delay, UP2.4 terminal initial registration average time Delay, UP2.4 terminal Large Mode message sending average delay (P2P), UP2.4 terminal Pager Mode message sending times (P2P), UP2.4 terminal Large Mode message sending total delay (P2P).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Data export of group sending failure reason value. Functional process: data export of group sending failure cause value. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: data query for file transfer indicators, city trend analysis. Functional process: detailed query of file transfer indicators, city trend analysis data. Sub-process description: Input file transfer index city trend analysis data details query request. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Export of configuration data for bad registration terminal rules. Functional process: export the rule configuration data for terminals with poor registration quality. Sub-process description: Input the request for exporting the rule configuration of the terminal with poor registration quality. Data movement type: E. Data group: Registry poor quality terminal rule configuration export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality mass-sending business data. Functional process: Export of poor-quality mass-sending business data. Sub-process description: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE voice quality is poor and the delay rule configuration data is deleted. Function process: Deletion of VOLTE voice quality delay rule configuration data. Sub-process description: Delete the VOLTE voice quality delay rule configuration data. Data movement type: W. Data group: configuration data of VOLTE voice quality delay rule to be deleted. Data attributes: VOLTE voice quality delay rule configuration, VOLTE initial registration average delay, core network indicators poor quality factors (proportion of poor quality core network), VOLTE re-registration average delay, individual user indicators poor quality factors (according to try times), the proportion of poor quality indicators of network elements, the proportion of poor quality indicators of terminals, and the proportion of poor quality indicators of cells.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop analysis of indicators. Trigger event: EPSFB network connection analysis data query. Functional process: EPSFB network connection analysis data list query. Sub-process description: Output EPSFB network access analysis data list query results. Data movement type: X. Data group: EPSFB network access analysis data list query results. Data attributes: index compliance rate, number of days of index deterioration, EPSFB network connection analysis, percentage of index deterioration period this month, EPSFB final call network connection rate, EPSFB initial call network connection rate, index normal days, deterioration index description.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice VONR call duration prediction analysis data query. Functional process: 5G voice VONR call duration prediction analysis data query. Sub-process description: Read the detailed data of 5G voice VONR call duration prediction analysis. Data movement type: R. Data group: 5G voice VONR call duration prediction analysis detailed data. Data attributes: VoNR call drop rate in n+3 months, VoNR voice connection rate in this month, VoNR voice connection rate in n-2 months, prefecture and city, 5G voice VONR call duration prediction analysis, VoNR voice connection rate in n+1 month , n-4 month VoNR drop rate, n+2 month VoNR drop rate, n-1 month VoNR voice connection rate, n-4 month VoNR voice connection rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Messaging analysis (P2P) data export. Functional process: message sending and receiving analysis (P2P) data export. Sub-process description: read messaging analysis (P2P) data. Data movement type: R. Data Group: Messaging Analysis (P2P) Data. Data attributes: Pager Mode message sending total delay (P2P), Large Mode message sending total delay (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message sending success times (P2P), Pager Mode message sending Times (P2P), Large Mode MRSP message reception times (P2P), message sending and receiving analysis (P2P), Large Mode message sending times (P2P), Pager Mode message sending success times (P2P), Large Mode message receiving delay (P2P) , The number of times Pager Mode messages are successfully received (P2P).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data is added. Functional process: The EPSFB poor voice quality registration rule configuration data is added. Sub-process description: return the newly added result of EPSFB poor voice quality registration rule configuration data. Data movement type: X. Data group: The newly added result of EPSFB poor voice quality registration rule configuration data. Data attributes: whether the new result is successful, and the new time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality load indicator data table. Functional process: generation of poor quality load index data table (GP business library). Sub-process description: Generate abnormal data log of poor quality load index and write. Data movement type: W. Data group: abnormal data log of poor quality load indicators. Data attributes: error code, error description, abnormal source data information of poor quality load indicators.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: Data export of poor quality indicators for business development. Functional process: Data export of poor quality indicators for business development. Sub-process description: Input the request for exporting business development category poor quality indicators. Data movement type: E. Data group: Operation instruction for exporting poor quality indicators of business development category. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: bad-quality terminal chatbot business data query. Functional process: Query the details of chatbot business data of poor-quality terminals. Sub-process description: read the business details data of the poor-quality terminal chatbot. Data movement type: R. Data group: business details data of poor-quality terminal chatbot. Data attributes: average chatbot service establishment delay, terminal model, low-quality terminal chatbot service, city factors, user factors, wireless network factors, chatbot service establishment success rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality registration rule configuration data query. Functional process: Query the configuration data list of VONR poor voice quality registration rules. Sub-process description: Output the query result of the configuration data list of VONR poor voice quality registration rules. Data movement type: X. Data group: query result of VONR poor voice quality registration rule configuration data list. Data attributes: VoNR initial registration success rate, VONR poor voice quality registration rule configuration, the proportion of network element poor quality indicators, the proportion of cell quality indicators, the proportion of terminal quality indicators, and the number of indicators participating in poor quality cell judgment , individual user indicators of poor quality factors (according to the number of attempts).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data is added. Function process: UP2.4 terminal P2P SMS prediction rule configuration data is added. Sub-process description: update UP2.4 terminal P2P short message prediction rule configuration data. Data movement type: W. Data group: newly added UP2.4 terminal P2P SMS prediction rule configuration data. Data attributes: growth rate of UP2.4 terminal P2P messages in n+1 month, growth rate of UP2.4 terminal P2P messages in n+August, UP2.4 terminal P2P SMS prediction rule configuration, n+7 UP2.4 terminal P2P The growth rate of the number of messages, the growth rate of the number of P2P messages of UP2.4 terminals in n+2 months, the growth rate of the number of P2P messages of UP2.4 terminals in n+9 months, the growth rate of the number of P2P messages of UP2.4 terminals in n+6 months, the growth rate of the number of P2P messages of UP2.4 terminals in this month, UP2 .4 Number of terminal P2P messages.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Inquiry of connection index data of poor-quality NEs. Functional process: Query the data list of connection indicators of poor-quality network elements. Description of the sub-process: Input the query request for the data list of connectivity indicators of network elements with poor quality. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of cell delay. Trigger event: Export of the overall VONR delay data of the cell. Functional process: export the overall VONR delay data of the cell. Sub-process description: Read the overall VONR delay derivation template of the cell. Data movement type: R. Data group: the overall VONR delay export template of the cell. Data attribute: the overall VONR delay export template of the cell.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice EPSFB call duration prediction analysis data export. Functional process: 5G voice EPSFB call duration prediction analysis data export. Sub-process description: read 5G voice EPSFB call duration prediction and analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration prediction analysis data. Data attributes: EPSFB voice hour peak call duration in n+2 months, n-4 month EPSFB voice hour peak call duration, 5G voice EPSFB call duration forecast analysis, date, n-May EPSFB voice hour peak call duration, n +1 month's EPSFB voice hour peak call time, n+3 month's EPSFB voice hour peak call time, n-1 month's EPSFB voice hour peak call time, n-3 month's EPSFB voice hour peak call time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data table generation. Functional process: 5G message user & terminal early warning data table generation (GP business library). Sub-process description: Timely trigger the task of generating 5G message user & terminal early warning data table. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: prefecture-city registration aggregation dimension data query. Functional process: Query the details of the aggregation dimension data of prefecture-city registration. Sub-process description: output the detailed query results of prefecture-city registration aggregation dimension data. Data movement type: X. Data group: detailed query results of prefecture-city registration aggregation dimension data. Data attributes: time period, large mode message receiving success rate (P2P), large mode message sending success rate (group sending), re-registration success rate, prefectural registration aggregation dimension, user uplink message success rate to Chatbot, initial registration success rate, city.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The registration class poor quality rule configuration data is added. Functional process: The configuration data of the registration class poor quality rule is added. Sub-process description: read the configuration data of registration class poor quality rules. Data movement type: R. Data group: registration class poor quality rule configuration data. Data attributes: effective or not, prefecture and city indicator quality factors, serial number, registration success rate, poor quality ratio, individual user indicator quality factors, wireless indicator quality factors, registration category poor quality rule configuration.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: export of business development indicator analysis data. Functional process: business development indicators analysis data export. Sub-process description: Read the business development indicator analysis export template. Data movement type: R. Data group: business development indicator analysis export template. Data attribute: business development indicator analysis export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: P2P failure reason value data query. Functional process: P2P failure reason value data list query. Sub-process description: Input the P2P failure reason value data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality P2P service data. Functional process: Export of poor-quality P2P business data. Sub-process description: read the export template of poor-quality P2P services. Data movement type: R. Data group: export template for poor-quality P2P services. Data attribute: Export template for poor-quality P2P services.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data query. Functional process: 5G message sending key indicator data list query. Sub-process description: Output 5G message sending key indicator data list query results. Data movement type: X. Data group: 5G message sending key indicator data list query results. Data attributes: key indicators of 5G message sending, Large Mode MRSP message receiving success rate (P2P), Large Mode message receiving success rate (P2P), Pager Mode message sending total delay (group sending), Large Mode MRSP message sending success rate (group sending ), the average message receiving delay in Pager Mode (P2P), the average receiving delay in Large Mode messages (group sending), the total delay in sending Large Mode messages (P2P), the average receiving delay in Pager Mode messages (group sending), and the receiving time in Pager Mode messages Success rate (P2P).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicator warning data deletion. Functional process: VONR voice indicator warning data deletion. Sub-process description: Return the deletion result. Data movement type: X. Data group: VONR voice indicators early warning data deletion results. Data attributes: delete time, delete quantity.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: export of file transfer quality indicator data. Functional process: file transfer class poor quality indicator data export. Sub-process description: Input file transfer class poor quality index export request. Data movement type: E. Data group: file transfer class poor quality indicator export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data collection. Functional process: core network delay index data collection interface. Sub-process description: Return the core network latency index data. Data movement type: X. Data group: core network latency index collection data. Data attributes: 5G core network total delay 1 (VoNR), 5G core network delay 2 (VoNR), 5G core network delay 1 (VNR2VNR), 5G core network total delay 2 measurement times (VNR2VNR), 5G core network Latency 1 (VoNR), Core Network Latency Index, 5G Core Network Total Latency 1 Measurement Times (VoNR).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: P2P message detailed list data query. Functional process: P2P message detailed list data query. Sub-process description: input P2P message detailed bill data query request. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: EPSFB voice indicator warning data is added. Functional process: EPSFB voice index early warning data is added. Sub-process description: Read the rules to verify the EPSFB voice index early warning data. Data movement type: R. Data group: EPSFB voice index early warning data verification rules. Data attributes: EPSFB voice index warning data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: P2P index city trend analysis data query. Functional process: P2P index city trend analysis data list query. Sub-process description: output the query results of the P2P index city trend analysis data list. Data movement type: X. Data group: P2P index city trend analysis data list query results. Data attributes: Pager Mode message receiving times (P2P), Pager Mode message receiving success times (P2P), Large Mode message receiving success times (P2P), Large Mode message sending total delay (P2P), date, Pager Mode message sending success Times (P2P), Pager Mode message receiving delay (P2P), P2P index city trend analysis, Large Mode message receiving delay (P2P).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Triggering event: Community report aggregate dimension data export. Functional process: Community reporting and aggregation dimension data export. Sub-process description: export the aggregated dimension data reported by the community. Data movement type: X. Data group: aggregate dimension data reported by the community. Data attributes: cities, Pager Mode message sending success rate (group sending), re-registration success rate, Chatbot downlink message success rate to users, Large Mode message receiving success rate (P2P), Pager Mode message sending success rate (P2P), Large Mode message sending success rate (P2P), Pager Mode message receiving success rate (group sending), cell reporting aggregation dimension, date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Triggering event: querying aggregated indicator data for message group sending. Functional process: Query the details of aggregated indicator data for group message sending. Sub-process description: Read the detailed data of aggregated indicators of message group sending. Data movement type: R. Data group: detailed data of aggregated indicators for group message sending. Data attributes: Pager Mode message sending times (group sending), Pager Mode message receiving times (group sending), Large Mode message sending total delay (group sending), Pager Mode message sending total delay (group sending), Large Mode message sending times (group sending ), Large Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), Large Mode MRSP message receiving delay (group sending), message group sending category aggregation indicators.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: The modification of the configuration data of the registered poor quality terminal rule. Functional process: modify the configuration data of the registration rules for terminals with poor quality. Sub-process description: Return the modification result. Data movement type: X. Data group: the modification result of the configuration data of the terminal rules with poor registration quality. Data attributes: modification time, change record.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality file transfer business data table. Functional process: poor quality file transfer business data statistics (HBASE library). Sub-process description: Save the statistical results of poor-quality file transfer business data to the HBASE library. Data movement type: W. Data group: statistical results of poor quality file transfer business data. Data attributes: 5GM02 interface file download success rate, city, 5GM02 interface file upload times, file transfer quality core network factors, poor file transfer service, file transfer quality city factors, 5GM02 interface file download times, file transfer quality Bad conclusion, 5GM02 interface file upload success rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Messaging analysis (P2P) data export. Functional process: message sending and receiving analysis (P2P) data export. Sub-process description: export messaging analysis (P2P) data. Data movement type: X. Data Group: Messaging Analysis (P2P) Data. Data attributes: Pager Mode message sending total delay (P2P), Large Mode message sending total delay (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message sending success times (P2P), Pager Mode message sending Times (P2P), Large Mode MRSP message reception times (P2P), message sending and receiving analysis (P2P), Large Mode message sending times (P2P), Pager Mode message sending success times (P2P), Large Mode message receiving delay (P2P) , The number of times Pager Mode messages are successfully received (P2P).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality file transfer business data query. Functional process: Query the details of poor-quality file transfer business data. Sub-process description: Input a query request for details of poor-quality file transfer business data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Triggering event: Poor quality terminal group message index data query. Functional process: Query the index data list of group messages sent by poor-quality terminals. Sub-process description: Read the information of the index data list of group messages sent by poor-quality terminals. Data movement type: R. Data group: information on the list of indicator data for group messages sent by poor-quality terminals. Data attributes: terminal brand, tac, wireless network factors, group message receiving success rate, group message sending success rate, poor quality terminal group message indicators, terminal model, group message sending average delay, user factors, core network factors, group sending The average delay in receiving messages.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: The modification of the configuration data of the registered poor quality terminal rule. Functional process: modify the configuration data of the registration rules for terminals with poor quality. Sub-process description: Input a request for modifying the configuration data of the terminal rules with poor registration quality. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: export of on-delay indicator data. Functional process: Data export of on-time delay indicators. Sub-process description: export the on-delay index data. Data movement type: X. Data group: on-delay index data. Data attributes: total connection delay measurement times (VNR2VNR), connection total delay (VNR2VNR), wireless total delay measurement times (VNR2VNR), connection delay (VoNR), wireless delay (VoNR), connection Total delay measurement times (VoNR), wireless delay (VNR2VNR), connection delay indicators.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality cell analysis. Trigger event: downloading of registration index data for poor-quality communities. Functional process: Download the registration index data of poor-quality communities. Sub-process description: Input the request for downloading the registration index data of poor-quality communities. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: The configuration data of the file transfer class poor quality rule is added. Functional process: The configuration data of the poor quality rule of the file transfer class is added. Sub-process description: Input a new request for the configuration data of the poor quality rule of the input file transfer class. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: The core network quality is poor and the terminal information data is exported. Functional process: Export information and data of terminals with poor core network quality. Sub-process description: Read the information data of terminals with poor core network quality. Data movement type: R. Data group: information data of terminals with poor core network quality. Data attributes: 5GM02 interface file download success rate, 5GM02 interface file download average delay, core network quality terminal information, 5GM02 interface file upload average delay, http average response delay, UP2.4 terminal initial registration average delay, tac .