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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: Read the detailed data of the P2P poor quality indicator. Data movement type: R. Data set: detailed data of P2P poor quality indicators. 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: Generate registration index analysis data table. Functional process: registration index analysis data statistics (HBASE library). Sub-process description: read the analysis data of registered indicators. Data movement type: R. Data group: registration index analysis data. Data attributes: total initial registration delay, initial registration success times, registration index analysis, UP2.4 terminal re-registration successful times, UP2.4 terminal initial registration request times, UP2.4 terminal re-registration request times, total re-registration time Delay, the number of re-registration requests, and the number of successful initial registrations of UP2.4 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: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Display of configuration data of terminal rules with poor registration quality. Functional process: display the configuration data of the terminal rules with poor registration quality. Sub-process description: read the configuration data of terminal rules with poor registration quality. Data movement type: R. Data group: register configuration data for poor-quality terminal rules. Data attributes: operator, registration average delay index threshold, re-registration average delay index threshold, number, unit, poor registration quality terminal rule configuration, re-registration success rate index threshold, registration success rate index threshold.

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: delete VONR voice indicator warning data. Data movement type: W. Data group: VONR voice index warning data to be deleted. 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: 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 export. Functional process: 5G voice VONR user number analysis data export. Sub-process description: Read the 5G voice VONR user number analysis and export template. Data movement type: R. Data group: 5G voice VONR user number analysis and export template. Data attribute: 5G voice VONR user number analysis and 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: Query data of poor-quality terminal business indicators. Functional process: Inquiry about the details of the business index data of poor-quality terminals. Sub-process description: Read the detailed data of poor-quality terminal business indicators. Data movement type: R. Data group: detailed data of poor-quality terminal business indicators. Data attributes: user factors, poor quality terminal business indicators, success rate of tcp establishment, wireless network factors, terminal brand, core network factors, http average delay, tcp average delay, city factors.

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: Input UP2.4 user 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, 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: Generate abnormal data processing of mass sending failure cause value. Data movement type: W. Data group: the data of the group sending failure cause value after exception handling. Data attributes: first demolition SIP status code, reason value, MSRP (REPORT (Req (Status (Code)))), group sending indicators, group sending failure reason value, last SIP status code, indicator name, Reason (Protocol), process failure 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: 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 file transfer class poor quality rule configuration export template. Data movement type: R. Data group: file transfer class poor quality rule configuration export template. Data attribute: file transfer class poor quality 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. Triggering event: Export of chatbot business data for poor-quality terminals. Functional process: export chatbot business data for poor-quality terminals. Sub-process description: Read chatbot business data of poor-quality terminals. Data movement type: R. Data group: chatbot business data of poor-quality terminals. Data attributes: wireless network factors, chatbot service establishment average delay, tac, terminal model, low-quality terminal chatbot services, core network factors, prefectural and city factors, terminal brand, user 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality registration rule configuration data modification. Functional process: VONR poor voice quality registration rule configuration data modification. Sub-process description: input VONR poor voice quality registration 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: 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: save the data table of poor quality indicators of business development to the GP table library. 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: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data query. Functional process: 5G voice VOLTE user number analysis data list query. Sub-process description: Enter the query request for the 5G voice VOLTE user number analysis data list. Data movement type: E. Data group: list query operation instructions. 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: EPSFB voice demand forecast configuration data query. Functional process: EPSFB voice demand forecast configuration data list query. Sub-process description: read EPSFB voice demand forecast configuration data list information. Data movement type: R. Data group: EPSFB voice demand forecast configuration data list information. Data attributes: EPSFB network voice connection rate poor quality threshold, EPSFB user voice response rate poor quality threshold, EPSFB network voice fallback success rate poor quality threshold, EPSFB initial call voice network connection rate poor quality threshold, EPSFB voice demand forecast configuration, EPSFB final call voice response rate poor quality threshold, EPSFB voice completion rate poor quality threshold, EPSFB final call voice network connection 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: 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: update P2P indicator monitoring rule configuration data. Data movement type: W. Data group: newly added P2P indicator monitoring rule configuration data. Data attributes: effective or not, threshold type, KPI proportion, poor quality threshold, indicator English name, comparison condition, indicator unit, P2P indicator monitoring 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 user number prediction analysis data query. Functional process: query the details of 5G voice EPSFB user number prediction and analysis data. Sub-process description: Input the request for querying the details of 5G voice EPSFB user number prediction and analysis 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal user number prediction rule configuration data modification. Functional process: UP2.4 Modification of the configuration data of the prediction rules for the number of end users. Sub-process description: read the configuration data of UP2.4 terminal user number prediction rules. Data movement type: R. Data group: UP2.4 terminal user number prediction rule configuration data. Data attribute: growth rate of UP2.4 terminal 5G message users in n+May, growth rate of UP2.4 terminal 5G message users in n+August, n+April growth rate of UP2.4 terminal 5G message users, n+ January UP2.4 terminal 5G message user growth rate, UP2.4 terminal user number forecast rule configuration, n+7 UP2.4 terminal 5G message user number growth rate, n+3 UP2.4 terminal 5G message user number Growth rate, the number of 5G message users of UP2.4 terminals this month, n+the growth rate of the number of 5G message users of UP2.4 terminals in September.

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 fallback delay analysis data export. Functional process: EPSFB fallback delay analysis data export. Sub-process description: read EPSFB fallback delay analysis data. Data movement type: R. Data group: EPSFB fallback delay analysis data. Data attributes: EPSFB initial call fallback success rate, EPSFB fallback delay analysis, number of index deterioration periods, deterioration index recovery time, index normal days, average EPSFB fallback delay, deterioration index 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: 5G voice quality perception analysis, poor quality terminal analysis. Trigger event: query of data analysis data of poor-quality terminal registration indicator factors. Functional process: Query the details of the factor analysis data of poor quality terminal registration indicators. Sub-process description: Input a query request for detailed analysis data of poor-quality terminal registration indicator factors. 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: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Export of poor-quality NE connectivity indicators. Functional process: Export the connection index data of poor-quality network elements. Sub-process description: Input a request for exporting connection indicators of poor-quality network elements. Data movement type: E. Data group: Operation instructions for exporting connection indicators of poor-quality network elements. 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: Query the ranking data of registered cities and cities. Functional process: query the list of ranking data of registered index cities. Sub-process description: Read the list information of the registration index city ranking data list. Data movement type: R. Data group: registration index city ranking data list information. Data attributes: periodical registration success rate, periodical registration total delay, mobility registration total delay, prefecture and city, common UE de-registration success rate, registration index prefecture and city ranking, emergency registration total delay, initial registration success Rate, total initial registration delay, sorting level.

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: Query the details of key indicator data for 5G message sending. Sub-process description: Output 5G message sending key indicator data details query results. Data movement type: X. Data group: 5G message sending key indicator data detailed query results. Data attributes: Pager Mode message sending success rate (group sending), Large Mode message sending success rate (P2P), Large Mode MRSP message receiving success rate (group sending), Large Mode MRSP message receiving average delay (group sending), Large Mode message sending Total delay (group sending), Large Mode MRSP message sending success rate (P2P), Pager Mode message receiving average delay (P2P), Large Mode MRSP message sending success rate (group sending), 5G message sending key indicators.

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: Save the statistical results of VONR connection quality closed-loop data to the HBASE library. Data movement type: W. Data group: VONR connection quality closed-loop data statistical results. 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: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data query. Functional process: Query the details of VONR voice demand forecast configuration data. Sub-process description: Input VONR voice demand forecast configuration data details 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 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 the 5G voice EPSFB call duration forecast analysis export template. Data movement type: R. Data group: 5G voice EPSFB call duration prediction analysis export template. Data attribute: 5G voice EPSFB call duration prediction 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 voice quality perception analysis, poor quality terminal analysis. Triggering event: Analysis data query of low-quality terminal delay index factors. Functional process: Query the data list of the analysis data list of the delay index factor of the poor quality terminal. Sub-process description: Read the list information of the analysis data list of the delay index factor of the poor quality terminal. Data movement type: R. Data group: list information of analysis data list of delay index factors of poor-quality terminals. Data attributes: average initial registration delay, proportion of poor quality indicators, wireless network factors, average voice connection delay, average voice delay (RTCP), number of poor quality indicators, terminal model, average registration delay, poor quality terminals Delay index factor analysis, user 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: Export of poor quality terminal analysis data. Functional process: export of poor quality terminal analysis data. Sub-process description: Input the poor-quality terminal analysis export request. Data movement type: E. Data group: Poor quality terminal 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 poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: The configuration data of the VONR poor voice quality delay rule is added. Function process: The configuration data of delay rule for poor voice quality of VONR is added. Sub-process description: Read the configuration data of VONR voice quality delay rule. Data movement type: R. Data group: VONR poor voice quality delay rule configuration data. Data attributes: VONR poor voice quality delay rule configuration, prefectural index poor quality factors (proportion of poor quality prefectures and cities), VONR initial registration average delay, community poor quality index ratio, VONR average registration delay, participation quality The number of indicators judged by poor cells, the average delay of VONR voice connection, the quality factors of individual user indicators (according to the number of attempts), the delay of VONR third-party registration success, and the proportion of network element quality 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 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: Input the request for adding EPSFB poor voice quality registration rule configuration data. 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 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: Read the list information of the call quality index factor analysis data of the terminal with poor quality. Data movement type: R. Data group: list information of analysis data list of call quality index factors of poor-quality terminals. Data attributes: proportion of poor quality indicators, wireless network factors, city factors, terminal brand, VoNR (voice) uplink average MOS, VoNR (voice) uplink RTP packet loss rate, conclusion, core network factors, poor quality terminal call quality indicators factor analysis.

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 closed-loop data query. Functional process: Query the details of EPSFB call quality closed-loop data. Sub-process description: read EPSFB call quality class quality closed-loop detailed data. Data movement type: R. Data group: EPSFB call quality quality closed-loop detailed data. Data attributes: index normal value (16 points), index normal value (0 point), index deterioration value (0 point), index deterioration value (19 points), index normal value (13 points), EPSFB call quality closed-loop quality, Index normal value (11 points), index deterioration value (23 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 VONR user number analysis data export. Functional process: 5G voice VONR user number analysis data export. Sub-process description: read 5G voice VONR user number analysis data. Data movement type: R. Data group: 5G voice VONR user number analysis data. Data attributes: VoNR dedicated load establishment times (calling), VoNR dedicated load establishment failure times (calling), 5G voice VONR user number analysis, date, VoNR dedicated load establishment successful times (called), VoNR dedicated load establishment failure times , The number of successful establishment of VoNR dedicated load, the number of times of VoNR untriggered dedicated load establishment (calling), the growth rate of the number of VONR active users, the number of times of VoNR dedicated load establishment (called), the number of failed VoNR dedicated load establishment (called).

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. Triggering event: mass query of index prefecture and city ranking data. Functional process: query the detailed query of ranking data of index cities in groups. Sub-process description: Input query request for details of ranking data of prefectures and cities for mass distribution indicators. 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: display of poor quality terminal analysis data. Functional process: Display of poor quality terminal analysis data. Sub-process description: Input the poor-quality terminal analysis display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request 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: generation of on-delay index data table. Functional process: generation of connection delay index data table (GP business library). Sub-process description: Generate abnormal data log of connection delay index and write. Data movement type: W. Data group: abnormal data log of connection delay index. Data attributes: error code, error description, connection delay index abnormal source data information.

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 closed-loop data query. Functional process: Query the details of EPSFB call quality closed-loop data. Sub-process description: output the query result of EPSFB call quality closed-loop data details. Data movement type: X. Data group: EPSFB call quality quality closed-loop data details query results. Data attributes: index normal value (16 points), index normal value (0 point), index deterioration value (0 point), index deterioration value (19 points), index normal value (13 points), EPSFB call quality closed-loop quality, Index normal value (11 points), index deterioration value (23 points).

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: Read the verification rules to verify the quality closed-loop data of VONR registration class. Data movement type: R. Data group: VONR registration quality closed-loop data verification rules. Data attributes: index normal value (7 points), index normal value (12 points), index deterioration value (1 point), index deterioration value (12 points), index deterioration value (7 points), index deterioration value (23 points) , The index normal value (20 points), VONR registration class quality closed loop.

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 user number prediction analysis data export. Functional process: 5G voice EPSFB user number prediction analysis data export. Sub-process description: Input 5G voice EPSFB user number prediction analysis export request. Data movement type: E. Data group: 5G voice EPSFB user number 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 quality perception analysis, 5G message quality terminal analysis. Triggering event: Poor quality terminal group message index data query. Functional process: Inquiry about the detailed index data of group messages sent by poor-quality terminals. Sub-process description: Read the detailed data of group message indicators sent by poor-quality terminals. Data movement type: R. Data group: detailed data of group message indicators sent by poor-quality terminals. Data attributes: poor-quality terminal mass message indicators, conclusions, average mass message receiving delay, terminal model, wireless network factors, mass message sending success rate, city factors, core network factors, mass message sending average delay, 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: On-time delay indicator data collection. Functional process: connect to the time delay index data collection interface. Sub-process description: return the on-time delay index data. Data movement type: X. Data group: collection data of connection delay index. 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, monitoring of 5G message indicators. Trigger event: Chatbot business indicator monitoring data export. Functional process: Chatbot business indicator monitoring 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 terminal analysis. Triggering event: data query for the analysis data of poor-quality terminal connection indicators. Functional process: Query the data list of poor-quality terminal connection index factor analysis data list. Sub-process description: Output the query results of the data list of the poor quality terminal connection index factor analysis data list. Data movement type: X. Data group: query results of data list analysis data list of connection indicators of poor quality terminals. Data attributes: user factor, terminal model, factor analysis of poor quality terminal connection indicators, wireless network factors, success rate of 4G network drop after VoNR call is connected, 4G network connection rate of VoNR call drop, prefectural factors, conclusion, core network factor.

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: Read the 5G voice VOLTE call duration analysis data list information. Data movement type: R. Data group: 5G voice VOLTE call duration analysis data list information. 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: 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: save 5G voice VONR call time analysis and collection data. Data movement type: W. Data group: 5G voice VONR call duration analysis data. Data attributes: number of times VoNR call dropped to 4G network after connected (calling), number of VoNR call dropped to 4G network connected (called), number of times VoNR call dropped to 4G network after connected, VONR call duration growth rate, date, 5G voice VONR call duration analysis, total connection delay (VoNR).

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 query. Functional process: Query the details of VONR voice service quality monitoring indicator data. Sub-process description: Read the detailed data of VONR voice service quality monitoring indicators. Data movement type: R. Data group: detailed data of VONR voice service quality monitoring indicators. Data attributes: initial call voice network completion rate (VONR2VONR), VoNR voice downlink average delay, cities, VONR voice service quality monitoring indicators, VoNR initial registration average delay, date, VoNR re-registration success rate, VoNR initial call voice Through 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 is deleted. Functional process: EPSFB poor voice quality connection rule configuration data is deleted. Sub-process description: update the EPSFB poor voice quality connection rule configuration data. Data movement type: W. Data group: the deleted EPSFB poor voice quality connection rule configuration data. Data attributes: the number of users in the community, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the configuration of EPSFB voice quality poor connection rules, the quality factors of individual user indicators (according to the number of attempts), the proportion of terminal quality indicators , the number of indicators participating in the judgment of poor quality cells, the proportion of poor quality indicators in the community, the success rate of 4G network fallback after EPSFB calls are connected, the success rate of EPS fallbacks, the connection rate of EPSFB call fallbacks to 4G networks, and the proportion of network element quality indicators Compare.

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: Poor quality terminal file transfer index data query. Functional process: Query the details of the indicator data of poor-quality terminal file transfers. Sub-process description: output the detailed query results of poor-quality terminal file transfer index data. Data movement type: X. Data group: detailed query results of poor-quality terminal file transfer index data. Data attributes: terminal brand, 5GM02 interface file download success rate, 5GM02 interface file download average delay, 5GM02 interface file upload average delay, user factor, city factor, terminal model, core network factor, wireless network factor, tac, quality Poor Terminal File Transfer class metrics.

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 modification. Functional process: modify the configuration data of P2P poor quality rules. Sub-process description: read the configuration data of P2P poor quality rules. Data movement type: R. Data group: configuration data of P2P poor quality rules. Data attributes: prefecture-city indicator quality factors, individual user indicator quality factors, valid or not, operator, P2P message sending success rate, P2P category poor quality rule configuration, core network indicator quality 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: 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: Export EPSFB fallback quality closed-loop data. Data movement type: X. Data group: EPSFB fallback quality closed-loop data. Data attribute: Deterioration index description, index deterioration value (18 points), index normal value (1 point), index normal value (20 points), index normal value (23 points), index normal value (15 points), index deterioration value (1 point), EPSFB fallback average delay, EPSFB fallback quality closed loop.

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 query. Functional process: VONR connected quality closed-loop data list query. Sub-process description: read VONR connection quality closed-loop data list information. Data movement type: R. Data group: VONR connection quality closed-loop data list information. Data attributes: index deterioration value (19 points), index deterioration value (4 points), VONR connected quality closed loop, index deterioration value (14 points), index normal value (5 points), index deterioration value (23 points), Index normal value (20 points), index normal value (10 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, early warning of 5G voice indicators. Trigger event: VONR voice indicators early warning data query. Functional process: VONR voice index warning data list query. Sub-process description: Output the query result of the VONR voice indicator early warning data list. Data movement type: X. Data group: query result of VONR voice indicator early warning data list. Data attributes: number of VONR registered users, VONR voice fallback success rate, VONR voice drop rate, VONR active user growth rate, VONR voice call completion rate, VONR voice switching success rate, VONR registered user growth rate, VONR active user Number, VONR voice index warning, VONR voice 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 network element analysis. Trigger event: Export of call quality index data of poor-quality NEs. Functional process: Export call quality index data of poor quality network elements. Sub-process description: Input a request for exporting call quality indicators of poor-quality network elements. Data movement type: E. Data group: operation command for exporting call quality indicators of poor-quality NEs. 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: On-time delay indicator data collection. Functional process: data collection of on-time delay indicators. Sub-process description: Read the verification rules to verify the connection delay index data server account information. Data movement type: R. Data group: IP verification rules of connection delay index data server. Data attributes: verification rules for connection delay index data server IP, account number, and password.

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 table is generated. Functional process: 5G voice VOLTE user number analysis data table generation (GP service library). Sub-process description: Timing triggers the generation task of 5G voice VOLTE user number analysis 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: 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: Timing triggers the task of generating data tables for mass-sending business with poor quality. 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 news indicators, city ranking and trend analysis. Trigger event: Export of business indicators, city trend analysis data. Functional process: Export of business indicators, city trend analysis data. Sub-process description: export business indicators, city trend analysis data. Data movement type: X. Data group: analysis data of business indicators prefecture and city trends. Data attributes: HTTP business success rate, HTTP total delay, TCP establishment total delay, TCP establishment average response delay, HTTP average response delay, TCP establishment success rate, threshold value, business index city trend analysis, date, 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: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: export of business development indicator monitoring rule configuration data. Functional process: business development indicator monitoring rule configuration data export. Sub-process description: input the request for exporting the business development indicator monitoring rule configuration. Data movement type: E. Data group: business development indicator monitoring rule configuration export operation instruction. 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 VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data collection. Sub-process description: Save 5G voice VONR user number analysis and collection data. Data movement type: W. Data group: 5G voice VONR user number analysis data. Data attributes: the growth rate of the number of active users of VONR, the number of times VoNR has not triggered dedicated load establishment (calling), the number of failed VoNR dedicated load establishment (called), the analysis of the number of 5G voice VONR users, date, the number of failed VoNR dedicated load establishment (main calls), the number of successful VoNR dedicated load establishment (calling), the number of VoNR dedicated load establishment (calling), the number of VoNR dedicated load establishment, the number of successful VoNR dedicated load establishment (called), the number of VoNR dedicated load establishment (called) Call).

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 class quality closed-loop exception data log and write. Data movement type: W. Data group: EPSFB call quality closed-loop exception data log. Data attributes: error code, error description, EPSFB call quality closed-loop exception source data information.

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 P2P index city trend analysis data. Functional process: P2P index city trend 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: 5G message user number demand prediction rule configuration data modification. Functional process: Modify the configuration data of the 5G message user number demand prediction rule. Sub-process description: Read the configuration data of the 5G message user number demand prediction rule. Data movement type: R. Data group: 5G message user number demand prediction rule configuration data. Data attributes: growth rate of the number of 5G message users in n+3 months, growth rate of the number of 5G message users in n+4 months, growth rate of the number of 5G message users in n+2 months, configuration of demand forecasting rules for the number of 5G message users, 5G in n+5 months The growth rate of the number of message users, the growth rate of the number of 5G message users in n+1 months, whether it is effective, the growth rate of the number of 5G message users in n+6 months.

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 display. Functional process: ranking and trend data display of VONR delay. Sub-process description: read ranking and trend data of VONR delay. Data movement type: R. Dataset: Ranking and trending data for VONR latency. Data attributes: total called response delay (VoNR), IMS domain delay (VoNR), wireless total delay (VoNR), ranking and trend of VONR delay, 5G core network total delay 1 (VoNR), 5G core Network delay 2 (VoNR), 5G core network total delay 2 measurement times (VoNR), IMS forwarding and called paging total delay measurement times (VoNR).

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: 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: 5G message poor quality perception analysis, poor quality business analysis. Triggering event: poor-quality bulk business data query. Functional process: Inquiry about the details of bad-quality mass-sending business data. Sub-process description: Read the detailed data of poor-quality mass-sending business. Data movement type: R. Data group: detailed data of poor-quality mass-sending business. Data attributes: large (mode message reception success rate (group sending)), large (mode message sending success rate (group sending)), large (mode message sending success rate ( Mass sending)), large (the number of successful mode message sending (group sending)), prefecture, large (mode message receiving times (group sending)), large (mode message sending times (group sending)), poor quality group sending business.

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: Poor quality terminal file transfer index data query. Functional process: Query the data list of poor-quality terminal file transfer indicators. Sub-process description: Input a request for querying the index data list of poor-quality terminal file transfers. 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: On-time delay indicator data collection. Functional process: data collection of on-time delay indicators. Sub-process description: save the collection data of the turn-on delay index. Data movement type: W. Data group: on-delay index data. Data attributes: total connection delay (VoNR), wireless delay (VNR2VNR), total wireless delay measurement times (VNR2VNR), total connection delay (VNR2VNR), total wireless delay measurement times (VNR), wireless total delay Delay (VNR2VNR), connection delay index, total connection delay measurement times (VoNR), wireless total delay (VoNR).

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: generation of on-delay index data table. Functional process: generation of connection delay index data table (GP business library). Sub-process description: Timing triggers the task of generating the connection delay index 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 forecasting of 5G message business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 terminal user number forecast data query. Functional process: UP2.4 End user number forecast data details query. Sub-process description: read UP2.4 terminal user number prediction details data. Data movement type: R. Data group: UP2.4 terminal user number prediction details data. Data attributes: number of 5G message users of UP2.4 terminals in n+1 month, number of 5G message users of UP2.4 terminals in n-February, date, prefecture and city, prediction of number of UP2.4 terminal users, n-1 month of UP2.4 terminals The number of 5G message users, the number of UP2.4 terminal 5G message users this month, districts and counties.

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 reason value data query. Functional process: Query the details of the cause value data of business failure. Sub-process description: Read the detailed data of the cause value of the business failure. Data movement type: R. Data group: detailed data of business failure cause value. Data attributes: first demolition message, index value, MSRP (REPORT (Req (Status (Code)))), Reason (Protocol), process failure reason, business failure reason value, business development index, last SIP status code, index name , Reason value, the reason for the first demolition.

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. Triggering event: VONR connected quality closed-loop data export. Functional process: VONR connected quality closed-loop data export. 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 initial call (voice) completion rate, index normal value (23 points), index deterioration value (23 points), index deterioration value (9 points), index deterioration value (1 point), index normal value (19 points) point), the normal value of the index (9 points), the normal value of the index (0 point), VONR is connected to the quality closed loop.

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: Update the configuration data of the poor quality rule of the file transfer class. Data movement type: W. Data group: newly added configuration data for poor quality rules for file transfers. Data attributes: serial number, individual user indicator quality factor, file upload success rate, file download success rate, prefecture-city indicator quality factor, core network indicator quality factor, file transfer category poor quality rule configuration, whether it takes effect, poor quality account Ratio, wireless index poor quality factor.

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 export. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data export. Sub-process description: Read the UP2.4 terminal P2P SMS prediction rule configuration export template. Data movement type: R. Data group: UP2.4 terminal P2P SMS prediction rule configuration export template. Data attribute: UP2.4 terminal P2P SMS prediction rule configuration 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: VONR poor voice quality registration rule configuration data modification. Functional process: VONR poor voice quality registration rule configuration data modification. Sub-process description: read the configuration data of VONR poor voice quality registration rules. Data movement type: R. Data group: VONR poor voice quality registration rule configuration data. Data attributes: quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), VoNR called initial registration success rate, number of indicators participating in the judgment of poor-quality communities, quality factors of core network indicators (proportion of poor-quality core networks), VONR poor voice quality registration rule configuration, network element poor quality index ratio, VoNR caller initial registration success rate, VoNR 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: The core network latency index data table is generated. Functional process: Generation of core network delay index data table (GP service library). Sub-process description: Generate core network delay index abnormal data processing. Data movement type: W. Data group: Core network latency index data after exception processing. Data attributes: 5G core network total delay 1 measurement times (VNR2VNR), core network delay index, 5G core network total delay 1 (VoNR), 5G core network delay 2 (VNR2VNR), 5G core network total delay 1 (VNR2VNR), 5G core network total delay 2 (VNR2VNR), 5G core network delay 1 (VNR2VNR), 5G core network total delay 2 (VoNR), 5G core network total delay 2 measurement times (VNR2VNR).

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: output the cell VoNR call VoNR delay data list query result. Data movement type: X. Data group: query result of cell VoNR call VoNR delay data list. 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: 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 query. Functional process: Query the details of cell EPSFB delay data. Sub-process description: read cell EPSFB delay details data. Data movement type: R. Data group: cell EPSFB delay details data. Data attributes: EPSFB initial call connection average delay, cell, EPSFB initial call connection times, cell EPSFB delay, EPSFB final call connection times, EPSFB final call drop average delay, date, EPSFB initial call drop total times, EPSFB initial call fallback success times, EPSFB initial call fallback 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: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: initial registration details query. Functional process: Query the details of the initial registration list data. Sub-process description: Read the detailed data of the initial registration list. Data movement type: R. Data group: initial registration details data. Data attributes: initial registration success rate, UP2.4 terminal initial registration success times, initial registration details, UP2.4 terminal initial registration success rate, city, UP2.4 terminal re-registration request times, initial registration request times.

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: registration latency indicator data query. Functional process: Query the details of the registration delay indicator data. Sub-process description: Read the detailed data of the registration delay indicator. Data movement type: R. Data group: detailed data of registration latency indicators. Data attributes: registration delay index, total number of initial registrations, number of successful third-party registrations, average registration delay, total number of re-registrations, average initial registration delay, number of successful re-registrations, successful third-party registration delay, third-party registration The total number of times, the average delay of re-registration, and the number of successful initial registrations.

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 network elements is added. Functional process: The analysis data of poor quality network elements is added. Sub-process description: Input a new request for analyzing data of poor quality network elements. 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: registration latency indicator data collection. Functional process: registration delay index data collection. Sub-process description: call the registration delay index data collection interface. Data movement type: X. Data group: the data collection interface of the registration delay index. Data attribute: Register the latency indicator data collection interface api.

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: Input the EPSFB network access analysis data list query request. 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 analysis of indicators. Trigger event: VONR indicator closed-loop analysis data query. Functional process: VONR index closed-loop analysis data list query. Sub-process description: Read the VONR index closed-loop analysis data list information. Data movement type: R. Data group: VONR indicator closed-loop analysis data list information. Data attributes: the number of index degradation periods, the name of the degradation index, the month, the number of normal index periods, the number of normal days of the index, the closed-loop analysis of the VONR index, and the description of the deterioration index.

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: read the analysis data of business development indicators. Data movement type: R. Data group: analysis data of business development indicators. Data attributes: analysis of business development indicators, number of HTTP business successes, total TCP establishment delay (core network), total TCP establishment delay (wireless side), number of successful TCP establishments (core network), number of successful TCP establishments, HTTP response Total delay, the total number of authentications initiated by the terminal to the storage server.

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: Return the newly added result of chatbot poor quality terminal rule configuration data. Data movement type: X. Data group: Added result of chatbot poor quality terminal 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: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: P2P short message number demand prediction rule configuration data export. Functional process: P2P SMS number demand prediction rule configuration data export. Sub-process description: read the P2P short message number demand prediction rule configuration export template. Data movement type: R. Data group: P2P SMS demand forecast rule configuration export template. Data attribute: P2P SMS demand forecasting 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: P2P SMS demand forecasting rule configuration data display. Functional process: P2P SMS demand forecasting rule configuration data display. Sub-process description: output and display the P2P short message number demand forecasting rule configuration data. Data movement type: X. Data group: configuration data of P2P SMS demand forecasting rules. Data attributes: growth rate of P2P messages in n+2 months, effective or not, growth rate of P2P messages in n+9 months, growth rate of P2P messages in n+8 months, growth rate of P2P messages in n+3 months, n+6 months P2P message number growth rate, P2P short message number demand forecast rule configuration, n+7 month P2P message number growth rate, n+5 month P2P message number 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: 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: Input the new request for EPSFB voice index early warning data. 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: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback quality closed-loop data query. Functional process: Query the details of EPSFB fallback quality closed-loop data. Sub-process description: output the query result of EPSFB fallback quality closed-loop data details. Data movement type: X. Data group: EPSFB drop-back class quality closed-loop data detailed query results. Data attributes: index normal value (19 points), deterioration index description, index normal value (8 points), index deterioration value (16 points), index deterioration value (17 points), index normal value (16 points), index deterioration value (18 points), the normal value of the indicator (17 points), and the closed loop of EPSFB 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, 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 the message sending and receiving analysis (P2P) export template. Data movement type: R. Data group: Messaging analysis (P2P) export template. Data attribute: message sending and receiving analysis (P2P) 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: 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 interface. Sub-process description: read 5G voice EPSFB user number analysis data conversion rules. Data movement type: R. Data group: 5G voice EPSFB user number analysis data conversion rules. Data attributes: prefecture, number of successful initial registration of the calling party (EPSFB), number of unsuccessful initial registration of the calling party (EPSFB), number of initial registration requests of the calling party (EPSFB), date, number of successful initial registration of the called party (EPSFB), initial registration The number of failures (EPSFB), the number of successful initial registrations (EPSFB), the number of initial registration delay measurements (EPSFB), the number of 5G voice EPSFB users, and the growth rate of the number of active users (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 latency index data analysis. 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 delay 1 (VoNR), 5G core network total delay 2 measurement times (VoNR), 5G core network total delay 2 (VNR2VNR), 5G core network total delay 1 (VNR2VNR), 5G core Network delay 2 (VNR2VNR), 5G core network total delay 1 (VoNR), 5G core network total delay 2 measurement times (VNR2VNR), 5G core network delay 1 (VNR2VNR), core network delay index, 5G core Network Delay 2 (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 poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: Data query of key factors of poor business development. Functional process: query the data details of key factors of poor business development quality. Sub-process description: Input the data query request for the key factors of poor business development quality. 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, configuration of indicator monitoring rules. Trigger event: Added file transfer indicator monitoring rule configuration data. Functional process: Added file transfer indicator monitoring rule configuration data. Sub-process description: Read the configuration data of file transfer indicator monitoring rules. Data movement type: R. Data group: file transfer indicator monitoring rule configuration data. Data attributes: comparison condition, KPI proportion, poor quality threshold, file transfer indicator monitoring rule configuration, indicator Chinese name, threshold type, indicator unit, file transfer indicator, whether it is effective, indicator English name, dynamic threshold position.

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 display. Functional process: file transfer indicator monitoring rule configuration data display. Sub-process description: output display file transfer indicator monitoring rule configuration data. Data movement type: X. Data group: file transfer indicator monitoring rule configuration data. Data attributes: threshold type, comparison condition, poor quality threshold, indicator Chinese name, file transfer indicator, file transfer indicator monitoring rule configuration, dynamic threshold position.

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 details of the key factors of P2P poor quality business. Sub-process description: Output the detailed query results of key factors of P2P poor quality business. Data movement type: X. Data group: detailed query results of key factors of P2P poor quality business. Data attributes: Pager Mode message receiving delay (P2P), core network index quality factor, Large Mode message receiving delay (P2P), Large Mode message receiving success times (P2P), Large Mode MRSP message receiving success times (P2P) , Large Mode MRSP message sending times (P2P), Pager Mode message sending total delay (P2P), Pager Mode message sending success times (P2P), user indicators poor quality factors, P2P poor quality business key factors, Large Mode MRSP message sending Number of successes (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 voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: EPSFB voice demand forecast configuration data query. Functional process: Query the details of EPSFB voice demand forecast configuration data. Sub-process description: output the query result of EPSFB voice demand forecast configuration data details. Data movement type: X. Data group: query result of EPSFB voice demand forecast configuration data details. Data attribute: EPSFB final call voice network connection rate poor quality threshold, EPSFB network voice fallback success rate poor quality threshold, EPSFB user voice response rate poor quality threshold, EPSFB initial call voice response rate poor quality threshold, EPSFB initial call voice connection Poor rate quality threshold, EPSFB voice demand forecast configuration, EPSFB voice connection rate poor quality threshold, EPSFB final call voice connection 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: 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: Enter a query request for the list of index data for registration of poor-quality terminals. 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: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: export of 5G message user count indicator data. Functional process: 5G message user number indicator 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: 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: Return the modification result. Data movement type: X. Data group: modification result of terminal rule configuration data with poor business development quality. Data attributes: modification time, change record.

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: Export of call quality index data of poor-quality NEs. Functional process: Export call quality index data of poor quality network elements. Sub-process description: Read the template for exporting call quality indicators of poor-quality network elements. Data movement type: R. Data group: export template for call quality indicators of poor-quality NEs. Data attribute: Export template for call quality indicators of poor-quality NEs.