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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: 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: Output the detailed query results of aggregated dimension data with poor quality at the terminal. Data movement type: X. Data group: the detailed query result of aggregated dimension data with poor terminal quality. Data attributes: date, UP2.4 terminal logout success rate, UP2.4 terminal message center's message success rate to the mobile phone, UP2.4 terminal user's message success rate uplink to Chatbot, UP2.4 terminal Large Mode message reception success rate (P2P), terminal quality aggregation dimension, UP2.4 terminal Large Mode message sending success rate (P2P), UP2.4 terminal re-registration 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 voice quality perception analysis, poor quality terminal analysis. Trigger event: Analysis data query of call quality index factors of poor-quality terminals. Functional process: Query the list query of the call quality index factor analysis data of poor quality terminals. Sub-process description: Input a request for querying the call quality index factor analysis data list of poor-quality terminals. 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency indicator data upload. Functional process: IMS domain delay index data upload. Sub-process description: Input the IMS domain delay index data upload request. Data movement type: E. Data group: upload operation instruction. Data attributes: upload time, upload address.

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: Chatbot service quality indicator data query. Functional process: Chatbot service quality indicator data list query. Sub-process description: Enter the query request for Chatbot service quality index data list. 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 rule configuration. Trigger event: P2P poor quality rule configuration data display. Functional process: P2P poor quality rule configuration data display. Sub-process description: The output shows the configuration data of P2P poor quality rules. Data movement type: X. Data group: configuration data of P2P poor quality rules. Data attributes: P2P message sending success rate, operator, wireless indicator quality factor, core network indicator quality factor, individual user indicator quality factor, quality ratio, whether it is effective, P2P class quality rule configuration, number, rule Name, prefecture and city index poor quality factors.

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: update EPSFB voice index warning data. Data movement type: W. Data group: newly added EPSFB voice indicator early warning data. Data attributes: EPSFB voice index warning, EPSFB registered user number, EPSFB voice call completion rate, EPSFB voice call duration, EPSFB voice fallback success rate, EPSFB voice fallback average delay, EPSFB voice call duration growth rate, EPSFB active user 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 EPSFB call duration analysis data collection. Functional process: 5G voice EPSFB call duration analysis data conversion. Sub-process description: save the 5G voice EPSFB call duration analysis data conversion data. Data movement type: W. Data group: converted 5G voice EPSFB call duration analysis data. Data attributes: EPSFB call connection total delay (switching mode), 5G voice EPSFB call duration analysis, EPSFB total connection delay (5T5), prefecture, EPSFB call drop rate growth rate, EPSFB call duration growth rate, EPSFB was The number of voice calls made.

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 table is generated. Functional process: 5G voice VONR call duration analysis data table generation (GP service library). Sub-process description: read 5G voice VONR call duration analysis data. Data movement type: R. Data group: 5G voice VONR call duration analysis data. Data attributes: the total connection delay (VoNR), the number of normal release times after the VoNR call is connected, the analysis of the 5G voice VONR call duration, the number of times the VoNR call is dropped to the 4G network after the call is connected (calling), the VoNR call is dropped to the 4G network and is not connected Number of times, the number of normal release times after VoNR calls are connected (called), the number of times VoNR calls fall back to the 4G network connection (calling), the number of times VoNR calls fall back to the 4G network connection (called), prefectures and cities.

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data table is generated. Functional process: 5G voice VONR user number analysis data statistics (HBASE library). Sub-process description: Save the statistical results of 5G voice VONR user number analysis data to the HBASE library. Data movement type: W. Data group: 5G voice VONR user number analysis data statistical results. Data attribute: the number of successful establishment of VoNR dedicated load (calling), the number of successful establishment of VoNR dedicated load, the number of establishment of VoNR untriggered dedicated load (calling), the number of establishment of VoNR dedicated load, the number of failed establishment of VoNR dedicated load (calling), VoNR dedicated load establishment times (called), date, VoNR untriggered dedicated load establishment times (called), 5G voice VONR user number analysis, VoNR dedicated load establishment failure times, VONR active user number growth 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: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Data export of key business factors of poor registration quality. Functional process: Data export of key business factors of poor registration quality. Sub-process description: Enter a request for exporting business key factors of poor registration quality. Data movement type: E. Data group: Operation instructions for exporting key business factors of poor registration quality. 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The data table of poor quality indicators for business development is generated. Functional process: Generation of poor quality indicator data tables for business development (GP business library). Sub-process description: Generate a data table of poor quality indicators for business development. Data movement type: W. Data group: data table of poor quality indicators for business development. Data attributes: total delay of the first TCP transaction response, number of HTTP service establishment failures (rejected by the client), average HTTP response delay, number of HTTP service establishment failures (server link establishment timeout), total TCP establishment delay (wireless side ), the number of successful HTTP services, poor quality indicators of service development, the total delay of TCP establishment, the success rate of HTTP services, the number of abnormal terminations of HTTP services (transmission timeout), and the total number of HTTP service requests.

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: Read the configuration data list information of VONR poor voice quality registration rules. Data movement type: R. Data group: VONR poor voice quality registration rule configuration data list information. 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: 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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data conversion interface. Sub-process description: read 5G voice VOLTE user number analysis data conversion rules. Data movement type: R. Data group: 5G voice VOLTE user number analysis data conversion rules. Data attributes: VOLTE voice connection rate, 5G voice VOLTE user number analysis, VOLTE final call voice network connection rate, VOLTE initial call voice response rate, VOLTE initial registration average delay, VOLTE initial registration average delay, VOLTE initial call voice network Through 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, monitoring of 5G message indicators. Trigger event: Export of business indicator monitoring data. Functional process: Export of business indicator monitoring 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: 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: Delete EPSFB voice indicator warning data. Data movement type: W. Data group: EPSFB voice index warning data to be deleted. 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: 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: File transfer indicator monitoring rule configuration data modification. Functional process: File transfer indicator monitoring rule configuration data modification. Sub-process description: Input file transfer indicator monitoring rule configuration data modification request. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification 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, 5G message quality terminal analysis. Triggering event: Query of poor-quality terminal registration indicator data. Functional process: Query the data list of poor-quality terminal registration indicators. Sub-process description: Output the query results of the poor-quality terminal registration index data list. Data movement type: X. Data group: query result of poor quality terminal registration index data list. Data attributes: core network factors, registration success rate, user factors, average registration delay, poor quality terminal registration indicators, re-registration success rate, city factors, average registration delay, conclusion, terminal model.

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: Generation of poor-quality P2P business data tables (GP business library). Sub-process description: Timing triggers the generation task of the poor-quality P2P service data table. Data movement type: E. Data group: system time. Data attribute: system time.

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 modification. Functional process: Modify the configuration data of the VOLTE voice quality delay rule. Sub-process description: modify the configuration data of VOLTE voice quality delay rule. Data movement type: W. Data group: the configuration data of VOLTE voice quality delay rule to be modified. Data attributes: VOLTE voice quality delay rule configuration, VOLTE voice connection average delay, VOLTE initial registration average delay, third-party registration success delay, core network indicators poor quality factors (proportion of poor quality core network), community The proportion of poor quality indicators, the number of users in the cell, and the average delay of VOLTE re-registration.

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: Export of file transfer indicator city trend analysis data. Functional process: file transfer indicators, city trend analysis data export. Sub-process description: input file transfer index city trend analysis export request. Data movement type: E. Data group: file transfer indicators city trend analysis and export operation instructions. 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 chatbot business data list of poor-quality terminals. Sub-process description: Enter a query request for the chatbot business data list of poor-quality terminals. 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: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: VONR connected quality closed-loop data table is generated. Functional process: VONR connection quality closed-loop data statistics (HBASE library). Sub-process description: read VONR connection quality closed-loop data. Data movement type: R. Data group: VONR connected quality closed-loop data. Data attributes: VONR connected quality closed loop, index deterioration value (21 points), index normal value (5 points), index deterioration value (4 points), index normal value (18 points), index normal value (12 points), Index normal value (23 points), index degradation value (20 points), average delay of VoNR initial call (voice) connection, index degradation value (8 points), index degradation value (15 points).

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 query. Function process: 5G voice EPSFB call duration analysis data details query. Sub-process description: Input 5G voice EPSFB call duration 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: intelligent monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Chatbot business indicator monitoring data query. Functional process: Chatbot business indicator monitoring data list query. Sub-process description: Output the query result of Chatbot business indicator monitoring data list. Data movement type: X. Data group: Chatbot business indicator monitoring data list query results. Data attributes: UP2.4 terminal Chatbot downlink message success rate to user, index value, Chatbot downlink message success rate to user, number of attempts, UP2.4 terminal Chatbot downlink message success rate to user, UP2.4 terminal user uplink Message success rate to Chatbot, monitoring of Chatbot service indicators, and total delay of messages uplinked by users to Chatbot.

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: display of aggregated dimension data with poor terminal quality. Functional process: Display of aggregated dimensional data with poor terminal quality. Sub-process description: The output shows the poor quality aggregation dimension data of the terminal. Data movement type: X. Data group: Aggregate dimensional data with poor terminal quality. Data attributes: UP2.4 terminal Pager Mode message receiving success rate (group sending), UP2.4 terminal Chatbot downlink message success rate to users, UP2.4 terminal Large Mode message receiving success rate (group sending), time period, UP2.4 terminal Pager Mode message sending success rate (group sending), UP2.4 terminal Large Mode message sending success rate (group sending), terminal poor quality aggregation dimension, UP2.4 terminal initial registration 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: EPSFB fallback quality closed-loop data export. Functional process: EPSFB fallback quality closed-loop data export. Sub-process description: read the EPSFB fallback quality closed-loop export template. Data movement type: R. Data group: EPSFB fallback quality closed-loop export template. Data attribute: EPSFB fallback quality closed-loop 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 voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data query. Functional process: Query the details of VOLTE voice demand forecast configuration data. Sub-process description: read VOLTE voice demand forecast configuration details data. Data movement type: R. Data group: VOLTE voice demand forecast configuration details data. Data attributes: VOLTE third-party registration success rate poor quality threshold, VOLTE voice uplink RTP packet loss rate poor quality threshold, VOLTE voice downlink RTP packet loss rate poor quality threshold, VOLTE voice demand forecast configuration, indicator forecast historical data months, VOLTE start The poor quality threshold of call voice response rate, the poor quality threshold of VOLTE network voice connection rate, and the poor quality threshold of VOLTE registration 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, analysis of indicator cause values. Triggering event: The data table of the cause value of mass sending failure is generated. Functional process: generation of data table of cause value of mass sending failure (GP business library). Sub-process description: Timing triggers the task of generating the data table of the reason value of group sending failure. 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: 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 list query. Sub-process description: output the query result of P2P message detailed list data list. Data movement type: X. Data group: P2P message detailed list data list query result. Data attributes: Large Mode message sending success rate (P2P), Large Mode message receiving delay (P2P), Large Mode MRSP message sending success rate (P2P), UP2.4 terminal Large Mode message receiving delay (P2P), Large Mode MRSP message sending total delay (P2P), Pager Mode message receiving success rate (P2P), UP2.4 terminal Pager Mode message receiving delay (P2P), P2P message list.

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: Terminal EPSFB delay data export. Functional process: terminal EPSFB delay data export. Sub-process description: input terminal EPSFB delay export request. Data movement type: E. Data group: terminal EPSFB delay 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: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data export. Functional process: 5G voice EPSFB user number analysis data export. Sub-process description: read 5G voice EPSFB user number analysis data. Data movement type: R. Data group: 5G voice EPSFB user number analysis data. Data attributes: called initial registration failure times (EPSFB), called initial registration delay measurement times (EPSFB), city, called called initial registration success times (EPSFB), called called initial registration request times (EPSFB), active users Number growth rate (EPSFB), number of caller initial registration failures (EPSFB), 5G voice EPSFB user number analysis, number of caller initial registration successes (EPSFB), date, caller initial registration delay measurement times (EPSFB).

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 modification. Functional process: modify the configuration data of registration class poor quality rules. Sub-process description: update the configuration data of registration class poor quality rules. Data movement type: W. Data group: the modified registration class poor quality rule configuration data. Data attributes: core network indicators poor quality factors, registration category poor quality rule configuration, prefectural city indicator quality factors, number, whether it is effective, poor quality ratio, registration success rate, re-registration success rate, 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 monitoring of 5G message indicators, analysis of indicator cause values. Triggering event: The data table of the cause value of mass sending failure is generated. Functional process: Statistics of the cause value of mass sending failure (HBASE library). Sub-process description: Input the data statistics request for the reason value of mass sending failure. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, 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: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of indicator data for group messages sent by poor-quality terminals. Functional process: Export the indicator data of group messages sent by poor quality terminals. 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: 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 query. Functional process: Query the details of EPSFB voice service quality monitoring index data. Sub-process description: output the query result of EPSFB voice service quality monitoring index data details. Data movement type: X. Data group: EPSFB voice service quality monitoring indicator data details query result. Data attributes: EPSFB final call voice connection rate, EPSFB voice uplink average delay, EPSFB voice connection rate, EPSFB voice connection average delay, EPSFB final call voice network completion rate, EPSFB initial call voice response rate, EPSFB voice Service quality monitoring indicators, EPSFB originating voice connection rate, EPSFB originating voice connection average delay, date, city.

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 collection. Functional process: 5G voice EPSFB call duration analysis data conversion. Sub-process description: Input 5G voice EPSFB call duration analysis data conversion request. Data movement type: E. Data group: 5G voice EPSFB call duration analysis data conversion request. Data attributes: data time, conversion method.

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 export. Functional process: 5G voice VOLTE call duration analysis data export. Sub-process description: export 5G voice VOLTE call duration analysis data. Data movement type: X. Data group: 5G voice VOLTE call duration analysis data. Data attributes: VOLTE initial-call voice connection rate, VOLTE initial-call voice connection average delay, 5G voice VOLTE call duration analysis, VOLTE re-registration success rate, VOLTE initial-call voice network completion rate, VOLTE final-call voice connection average Time delay, prefecture and 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 analysis. Trigger event: Generation of poor quality file transfer business data table. Functional process: Generation of poor-quality file transfer business data tables (GP business library). Sub-process description: Save the poor-quality file transfer business data table to the GP table library. Data movement type: W. Data group: poor quality file transfer business data table. Data attributes: 5GM02 interface file upload success times, poor quality file transfer business, city, file transfer quality conclusion, file transfer quality core network factor, file transfer quality city factor, 5GM02 interface file download times, 5GM02 interface file The number of successful downloads, and the average download delay of 5GM02 interface files.

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: VONR time delay ranking and trend data query. Functional process: Query the ranking and trend data details of VONR delay. Sub-process description: Input the ranking and trend data query request of VONR delay. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, 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: 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: read the core network delay index data. Data movement type: R. Data group: core network latency index 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: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: query of terminal information and data with poor core network quality. Functional process: Query the list of terminal information data lists with poor core network quality. Sub-process description: Input the query request for the list of information and data of terminals with poor core network quality. 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 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: 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 message indicators, multi-dimensional aggregation and presentation. Trigger event: user-aware aggregation dimension data export. Functional process: user-aware aggregation dimension data export. Sub-process description: Read user-perceived aggregation dimension data. Data movement type: R. Data group: User-perceived aggregation dimension data. Data attributes: TCP establishment average delay (wireless side), TCP establishment success rate, user, UP2.4 end user uplink message success rate to Chatbot, user perception aggregation dimension, HTTP business success rate, UP2.4 end user uplink to Chatbot Chatbot's average message delay, TCP establishment success rate (wireless side), Chatbot downlink message success rate to users, and UP2.4 terminal Chatbot's average downlink message delay to 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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data query. Functional process: Query the details of 5G voice VONR user number analysis data. Sub-process description: Read the detailed data of 5G voice VONR user number analysis. Data movement type: R. Data group: 5G voice VONR user number analysis detailed data. Data attributes: VoNR dedicated load establishment times, VONR active user number growth rate, VoNR dedicated load establishment times (calling), VoNR dedicated load establishment success times (calling), 5G voice VONR user number analysis, VoNR dedicated load establishment success times ,VoNR-specific set-up failure times, VoNR-specific set-up failure times (called), date.

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 collection. Functional process: 5G voice EPSFB call duration analysis data collection. Sub-process description: Read the verification rules to verify the account information of the 5G voice EPSFB call duration analysis data server. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data server IP verification rules. Data attribute: 5G voice EPSFB call duration analysis data server IP, account number, password verification rules.

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 export template of key factors of poor business development quality. Data movement type: R. Data group: export template for key factors of poor business development quality. Data attribute: export template for key factors of poor business development quality.

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 business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 end user forecast data export. Functional process: UP2.4 end user number forecast data export. Sub-process description: export UP2.4 end user forecast data. Data movement type: X. Data set: UP2.4 end user forecast data. Data attributes: date, UP2.4 terminal user number forecast, n-2 month UP2.4 terminal 5G message user number, n+1 month UP2.4 terminal 5G message user number, n-3 UP2.4 terminal 5G message user number Number, districts and counties, n+number of UP2.4 terminal 5G message users in February, number of UP2.4 terminal 5G message users this month, n-number of UP2.4 terminal 5G message users in May, n-4 month UP2.4 terminal The number of 5G messaging 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: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data is added. Functional process: P2P indicator monitoring rule configuration data is added. Sub-process description: Return the result of adding P2P indicator monitoring rule configuration data. Data movement type: X. Data group: P2P indicator monitoring rule configuration data newly added results. 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 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 rule verification chatbot poor quality terminal rule configuration data. Data movement type: R. Data group: chatbot poor quality terminal rules configure data verification rules. Data attributes: chatbot poor quality terminal rule configuration 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: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of chatbot's poor quality business key factors. Functional process: Data export of chatbot's poor quality business key factors. Sub-process description: read the export template of chatbot's poor quality business key factors. Data movement type: R. Data group: export template of chatbot's poor quality business key factors. Data attribute: export template of chatbot poor quality business key 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: VONR intelligent analysis of calling delay, poor quality of cell delay. Trigger event: Cell VoNR call VoNR delay data query. Functional process: VoNR calling VoNR delay data list query in the cell. Sub-process description: read the cell VoNR call VoNR delay data list information. Data movement type: R. Data group: cell VoNR call VoNR delay data list information. Data attributes: total connection delay (VNR2VNR), connection delay (VNR2VNR), total called response delay (VNR2VNR), total wireless delay (VNR2VNR), cell VoNR call VoNR delay, IMS domain delay ( VNR2VNR), IMS forwarding and called paging total delay measurement times (VNR2VNR), wireless delay (VNR2VNR).

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: The connection rule configuration data of poor VOLTE voice quality is added. Functional process: The configuration data of connection rules for VOLTE poor voice quality is added. Sub-process description: Input a new request for configuration data of connection rules with poor voice quality of VOLTE. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add 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: On-time delay indicator data collection. Functional process: connect to the time delay index data collection interface. Sub-process description: read the on-delay index data. Data movement type: R. Data group: on-delay index data. Data attributes: total connection delay measurement times (VoNR), connection delay (VoNR), wireless delay (VNR2VNR), wireless total delay (VoNR), total connection delay (VoNR), connection delay Index, total wireless delay measurement times (VNR2VNR).

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: Chatbot business index cause value data query. Functional process: query the details of the cause value data of Chatbot business indicators. Sub-process description: Enter the query request for Chatbot business indicator cause value 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: intelligent forecasting of 5G message service demand, analysis and forecast of 5G message user numbers. Trigger event: UP2.4 user analysis data query. Functional process: UP2.4 user analysis data details query. Sub-process description: read UP2.4 user analysis details data. Data movement type: R. Data group: UP2.4 user analysis details data. Data attribute: Number of 5G message users of UP2.4 terminals in n+2 months, growth rate of 5G message users of UP2.4 terminals in n+2 months, load of 5G message users of UP2.4 terminals in n+2 months, UP2.4 this month The number of terminal 5G message users, cities, UP2.4 user analysis, the growth rate of the number of UP2.4 terminal 5G message users in n+3 months, and the growth rate of the number of UP2.4 terminal 5G message users in n+1 month.

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 table is generated. Functional process: 5G voice EPSFB call duration analysis data table generation (GP service library). Sub-process description: Save the 5G voice EPSFB call duration analysis data table to the GP table library. Data movement type: W. Data group: 5G voice EPSFB call duration analysis data table. Data attributes: 5G voice EPSFB call duration analysis, EPSFB call drop rate growth rate, EPSFB total call connection delay measurement times (redirection mode), EPSFB total connection delay measurement times (5T5), EPSFB called voice call times , EPSFB call duration growth rate, EPSFB total connection delay (5T5), EPSFB caller voice call times.

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 poor quality rule of the business development category is added. Functional process: Added new configuration data for business development category poor quality rules. Sub-process description: Input new request for configuration data of poor quality rules of business development. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

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: The connection rule configuration data of poor VOLTE voice quality is added. Functional process: The configuration data of connection rules for VOLTE poor voice quality is added. Sub-process description: Update the configuration data of connection rules for VOLTE poor voice quality. Data movement type: W. Data group: newly added VOLTE poor voice quality connection rule configuration data. Data attributes: EPS fallback success rate, number of indicators participating in poor-quality community judgment, number of community users, proportion of network element quality indicators, core network indicator quality factors (poor-quality core network proportion), prefecture-city indicators poor quality Factors (proportion of cities with poor quality), 4G network success rate after VOLTE call is connected, 4G network connection rate of VOLTE call drop, VOLTE voice connection rule configuration with poor quality, proportion of terminal quality indicators, individual user indicators Poor quality factor (by 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 monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Triggering event: display of prefecture-city registration aggregation dimension data. Functional process: data display of prefectural and city registration aggregation dimensions. Sub-process description: Read prefecture-city registration aggregation dimension data. Data movement type: R. Data group: Aggregate dimension data of prefecture-city registration. Data attributes: Pager Mode message receiving success rate (P2P), Large Mode message sending success rate (P2P), Large Mode message receiving success rate (P2P), region and city registration aggregation dimension, initial registration success rate, region, time period, cancellation Success rate, re-registration success rate, Pager Mode message reception success rate (group sending).

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: modification of terminal rule configuration data with poor service development quality. Functional process: modification of terminal rule configuration data for poor business development. Sub-process description: update the terminal rule configuration data with poor service development quality. Data movement type: W. Data group: Modified configuration data of terminal rules with poor service development quality. Data attributes: http establishment success rate index threshold, whether it is effective, tcp establishment success rate index threshold, number, rule name, operator, http establishment average delay index threshold, proportion of poor quality cities, business development poor quality terminal rule configuration .

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: Input 5G voice EPSFB call duration prediction analysis export request. Data movement type: E. Data group: 5G voice EPSFB call duration prediction analysis export operation instructions. 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: Generation of poor-quality mass-sending business data table. Functional process: Statistics of poor-quality mass-sending business data (HBASE library). Sub-process description: Input the statistics request of poor-quality mass-sending business data. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, 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: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: 5G message group sending detailed list data query. Functional process: 5G message group sending detailed list data detailed query. Sub-process description: Read the detailed data of 5G message group sending details. Data movement type: R. Data group: 5G message mass sending detailed data. Data attributes: cities, 5G message group sending details, date, UP2.4 terminal Large Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), UP2.4 terminal Pager Mode message receiving success rate (group sending), Pager Mode message receiving delay (group sending), Pager Mode message receiving success rate (group sending).

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 query of key factors of P2P poor quality business. Functional process: query the data list of key factors of P2P poor quality business. Sub-process description: Read the data list information of the key factors of P2P poor quality business. Data movement type: R. Data group: data list information of key factors of P2P poor quality business. Data attributes: Number of times Pager Mode messages are successfully received (P2P), percentage of poor quality factors, key factors of P2P poor quality business, wireless index quality factors, core network index quality factors, Large Mode MRSP message reception success times (P2P), In Large Mode, the total delay in message sending (P2P), and the user index is the factor of poor quality.

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: business failure cause value data download. Functional process: business failure cause value data download. Sub-process description: input the business failure cause value data download request. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

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 export. Functional process: export VOLTE voice service quality monitoring index data. Sub-process description: read VOLTE voice service quality monitoring index data. Data movement type: R. Data group: VOLTE voice service quality monitoring indicator data. Data attributes: VoLTE voice average delay, VoLTE initial call voice connection average delay, VOLTE voice service quality monitoring indicators, VoLTE initial registration average delay, VoLTE user voice response rate, VoLTE initial call voice response rate, VoLTE initial call voice Connection rate, date, VoLTE voice connection rate, average VoLTE registration 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: 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: read poor-quality file transfer business data. Data movement type: R. Data group: 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: 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 query. Functional process: EPSFB poor voice quality connection rule configuration data list query. Sub-process description: Output EPSFB poor voice quality connection rule configuration data list query result. Data movement type: X. Data group: EPSFB poor voice quality connection rule configuration data list query result. Data attributes: 4G network success rate after the EPSFB call is connected, the proportion of poor terminal quality indicators, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the quality factors of individual user indicators (according to the number of attempts), EPSFB Call fallback 4G network completion rate, network element poor quality index ratio, EPS fallback success rate, number of users in the cell, and EPSFB poor voice quality connection rule configuration.

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: The configuration data of the VOLTE poor voice quality delay rule is added. Functional process: The configuration data of the delay rule for poor voice quality in VOLTE is added. Sub-process description: update the configuration data of VOLTE voice quality delay rule. Data movement type: W. Data group: newly added VOLTE voice quality delay rule configuration data. Data attributes: core network index quality factors (poor quality core network proportion), terminal quality index number proportion, VOLTE voice quality delay rule configuration, network element quality index number proportion, cell quality index number proportion Ratio, VOLTE initial registration average delay, VOLTE re-registration average delay, third-party registration success delay, VOLTE voice connection 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: data query of poor quality load indicators. Functional process: Query the details of poor quality load index data. Sub-process description: Input the request for querying the details of the poor quality load indicator 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: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: Export of prefecture-city registration aggregation dimension data. Functional process: Export of prefecture-city registration aggregation dimension data. Sub-process description: export prefecture-city registration aggregation dimension data. Data movement type: X. Data group: Aggregate dimension data of prefecture-city registration. Data attributes: Large Mode message receiving success rate (group sending), Large Mode message receiving success rate (P2P), prefecture and city registration aggregation dimension, re-registration success rate, Large Mode message sending success rate (group sending), prefecture and city, cancellation success rate , time period.

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data collection interface. Sub-process description: Return the analysis data of 5G voice VOLTE users. Data movement type: X. Data group: 5G voice VOLTE user number analysis and collection data. Data attributes: average time delay of VOLTE final call voice connection, VOLTE final call voice response rate, VOLTE initial call voice connection average delay, VOLTE network voice connection rate, VOLTE voice connection rate, date, VOLTE re-registration success rate , VOLTE initial-call voice completion rate, 5G voice VOLTE user number analysis, VOLTE re-registration average delay, VOLTE final-call voice completion 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality mass-sending business data table. Functional process: Generation of poor-quality mass-sending business data tables (GP business library). Sub-process description: Generate and write abnormal data logs of poor-quality mass-sending business. Data movement type: W. Data group: abnormal data logs of poor-quality mass-sending business. Data attributes: error code, error description, abnormal source data information of poor-quality mass-sending 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data deletion. Functional process: VONR voice demand forecast configuration data deletion. Sub-process description: update VONR voice demand forecast configuration data. Data movement type: W. Data group: Deleted VONR voice demand forecast configuration data. Data attribute: VONR initial call voice network connection rate poor quality threshold, VONR initial call voice response rate poor quality threshold, VONR registration success rate poor quality threshold, VONR user voice response rate poor quality threshold, VONR network voice connection rate poor quality Threshold, VONR initial call voice completion rate poor quality threshold, VONR re-registration success rate poor quality threshold, VONR voice demand forecast configuration, VONR final call voice completion rate poor quality threshold.

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: P2P type poor quality index data list query. Sub-process description: read the P2P poor quality indicator data list information. Data movement type: R. Data group: P2P type poor quality indicator data list information. Data attributes: Large Mode message sending success rate (P2P), Pager Mode message receiving delay (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message sending total delay (P2P), Pager Mode message sending success Rate (P2P), UP2.4 terminal Pager Mode message receiving delay (P2P), Large Mode MRSP message sending success rate (P2P), P2P quality indicators, UP2.4 terminal Pager Mode message receiving success rate (P2P), UP2.4 terminal Pager Mode message sending success rate (P2P), UP2.4 terminal Large Mode message sending success rate (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 rule configuration. Trigger event: P2P poor quality rule configuration data is added. Functional process: P2P class poor quality rule configuration data is added. Sub-process description: Input the new request for P2P poor quality rule configuration 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: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: registration failure reason value data download. Functional process: download the registration failure reason value data. Sub-process description: download the registration failure reason value data. Data movement type: W. Data group: registration failure reason value data. Data attributes: indicator name, reason for first removal, registration indicator, reason for process failure, first removal SIP status code, reason value for registration failure, first removal message.

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: UP2.4 terminal 5G message indicator data query. Functional process: Query the details of UP2.4 terminal 5G message indicator data. Sub-process description: Input the detailed query request of UP2.4 terminal 5G message index data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, 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: 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: Read VONR registration class quality closed-loop data. Data movement type: R. Data set: VONR registered quality closed-loop data. Data attributes: index normal value (0 point), index deterioration value (0 point), index deterioration value (18 points), index deterioration value (16 points), index normal value (5 points), VONR registration quality closed loop, index Normal value (14 points), index normal value (11 points), index normal value (2 points), index deterioration value (22 points).

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data export. Functional process: 5G voice EPSFB user number analysis data export. Sub-process description: Input the 5G voice EPSFB user number analysis and export request. Data movement type: E. Data group: 5G voice EPSFB user number analysis and export operation instructions. 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 voice quality perception analysis, poor quality analysis data export. Trigger event: The analysis data of poor-quality communities is added. Functional process: The analysis data of poor-quality communities is added. Sub-process description: Input a new request for analysis data of poor-quality communities. 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: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business indicator reason value data export. Functional process: Chatbot business indicator cause value data export. Sub-process description: read the reason value data of Chatbot business indicators. Data movement type: R. Data group: Chatbot business indicator cause value data. Data attributes: reason value, first demolition message, Chatbot class indicators, Reason (Protocol), indicator value, Chatbot business indicator reason value, first dismantling SIP status code, indicator name, last SIP status code, first dismantling reason.

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: Chatbot service quality indicator data download. Functional process: Chatbot business quality indicator data download. Sub-process description: Download the chatbot service quality index data. Data movement type: W. Data set: Chatbot service quality index data. Data attributes: the success rate of messages uplinked by users to Chatbot, the total delay of messages uplinked by UP2.4 terminal users to Chatbot, the total delay of messages uplinked by users to Chatbot, the total number of messages downlinked by Chatbot to users, and the number of messages downlinked by Chatbot to users The number of successful messages, the total number of messages uploaded by users to Chatbot, the poor service quality index of Chatbot, date, and the success rate of messages uploaded by UP2.4 terminal users to Chatbot.

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: VONR voice service quality monitoring indicator data export. Functional process: VONR voice service quality monitoring index data export. Sub-process description: export VONR voice service quality monitoring indicator data. Data movement type: X. Data group: VONR voice service quality monitoring indicator data. Data attributes: VoNR final call voice connection average delay, date, VoNR re-registration success rate, VoNR voice average delay, VoNR initial registration average delay, VoNR final call voice network connection rate, VONR voice service quality monitoring indicators, VoNR initial call voice network connection rate, VoNR network 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: Generate registration index analysis data table. Functional process: generation of registration index analysis data table (GP business library). Sub-process description: generate registration index analysis data table. Data movement type: W. Data group: registration index analysis data table. Data attributes: UP2.4 terminal re-registration success times, initial registration delay, UP2.4 terminal initial registration success times, registration index analysis, re-registration total delay, UP2.4 terminal re-registration request times, UP2.4 The total initial registration delay of the terminal and the number of successful initial registrations.

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-lapse ranking and trend data export. Functional process: EPSFB latency ranking and trend data export. Sub-process description: Read the ranking and trend export template of EPSFB delay. Data movement type: R. Data group: EPSFB latency ranking and trend export template. Data attribute: EPSFB delay ranking and trend 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 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: export the analysis data of business development indicators. Data movement type: X. Data group: analysis data of business development indicators. Data attributes: total TCP establishment delay (wireless side), number of successful HTTP services, total TCP establishment delay (core network), total number of HTTP service requests, analysis of business development indicators, total HTTP response delay, terminal initiated storage server The total number of authentication times and the number of TCP establishment requests.

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: Cell EPSFB delay data export. Functional process: Cell EPSFB delay data export. 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 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: Save the download data of registration indicators of poor-quality communities. Data movement type: W. Data group: download data of registration indicators of poor quality communities. Data attributes: caller's initial registration success rate, cell, initial registration average delay, poor quality cell registration indicators, calling caller's initial registration success rate, initial registration success rate, called initial registration average delay, poor quality index accounted for Ratio, prefecture, and called initial registration 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development indicators analysis data analysis. Sub-process description: Read and analyze the rules to analyze the analysis data of business development indicators. Data movement type: R. Data group: business development indicators analysis data analysis rules. Data attributes: file conversion specification, abnormal character processing rules.

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 list query. Sub-process description: Input the query request for the 5G voice VONR call duration prediction analysis data list. 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 voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data export. Functional process: VOLTE voice demand forecast configuration data export. Sub-process description: Read the VOLTE voice demand forecast configuration export template. Data movement type: R. Data group: VOLTE voice demand forecast configuration export template. Data attribute: VOLTE voice demand forecast 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 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: Read 5G message user & terminal early warning data. Data movement type: R. Data group: 5G message user & terminal early warning data. Data attributes: 5G message terminal growth rate, Pager Mode message sending success rate (group sending), 5G message terminal number, Pager Mode message sending success rate (P2P), UP2.4 terminal 5G message user number, UP2.4 terminal 5G message terminal Number, UP2.4 terminal 5G message user growth rate, 5G message user & terminal early warning, UP2.4 terminal 5G message terminal growth 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 voice quality perception analysis, poor quality network element analysis. Triggering event: Query for registration index data of poor quality NEs. Functional process: Query the details of registration index data of poor-quality NEs. Sub-process description: Read the detailed data of registration indicators of poor-quality network elements. Data movement type: R. Data group: detailed data of poor-quality network element registration indicators. Data attributes: number of calling initial registration delay measurements, poor quality network element registration indicators, called initial registration delay measurement times, total calling initial registration delay, initial registration request times, non-registration return times, initial registration total Delay, the number of called initial registration failures, the calling number of initial registration requests, the calling number of non-registered return times, and the number of initial registration delay measurements.

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data table is generated. Functional process: 5G voice EPSFB user number analysis data table generation (GP service library). Sub-process description: generate 5G voice EPSFB user number analysis abnormal data processing. Data movement type: W. Data group: 5G voice EPSFB user number analysis data after exception processing. Data attributes: the number of initial registration failures of the calling party (EPSFB), the number of initial registration failures of the called party (EPSFB), the number of successful initial registrations (EPSFB), analysis of the number of 5G voice EPSFB users, the number of initial registration requests of the calling party (EPSFB), active users The growth rate of the number (EPSFB), and the number of successful initial registrations of the calling party (EPSFB).

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: Receive the core network delay index data collection request. Data movement type: E. Data group: core network latency index data collection request. Data attributes: collection address, time, collection quantity, source file name.

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data collection. Functional process: 5G voice EPSFB user number analysis data conversion. Sub-process description: save the 5G voice EPSFB user number analysis data conversion data. Data movement type: W. Data group: converted 5G voice EPSFB user number analysis data. Data attributes: initial registration request times (EPSFB), initial registration delay measurement times (EPSFB), 5G voice EPSFB user number analysis, initial registration failure times (EPSFB), called initial registration failure times (EPSFB), calling party initial registration Number of failures (EPSFB), number of called initial registration successes (EPSFB), number of called initial registration delay measurements (EPSFB), number of called initial registration requests (EPSFB), prefecture and 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: Registration class poor quality rule configuration data modification. Functional process: modify the configuration data of registration class poor quality rules. Description of the sub-process: Input the request for modifying the configuration data of the registration class poor quality rule. Data movement type: E. Data group: modify the operation instruction. Data attributes: modification person, modification time.

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, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data collection. Functional process: 5G voice VOLTE user number analysis data collection interface. Sub-process description: Receive 5G voice VOLTE user number analysis data collection request. Data movement type: E. Data group: 5G voice VOLTE user number analysis data collection request. Data attributes: collection address, time, collection quantity, source file name.

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 table generation. Functional process: VONR registration quality closed-loop data table generation (GP business library). Sub-process description: Timing trigger the VONR registration class quality closed-loop data table generation task. Data movement type: E. Data group: system time. Data attribute: system time.