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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 export. Functional process: Ranking and trend data export of VONR delay. Sub-process description: Input the ranking and trend export request of VONR delay. Data movement type: E. Data group: VONR time delay ranking and trend 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: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: export of P2P & group message warning data. Functional process: P2P & group message early warning data export. Sub-process description: read P2P & group message warning export template. Data movement type: R. Data group: P2P & mass message warning export template. Data attribute: P2P & mass message warning 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 cell analysis. Trigger event: downloading of call quality indicator data in poor quality cells. Functional process: Download call quality indicator data for poor quality cells. Sub-process description: Input the request for downloading call quality index data of poor quality cells. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

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 data list of poor quality terminal registration index factor analysis data list. Sub-process description: Input the query request for the factor analysis data list of poor-quality terminal registration indicators. 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 quality perception analysis, poor quality network element analysis. Trigger event: Inquiry of connection index data of poor-quality NEs. Functional process: Query the details of connection index data of poor-quality network elements. Sub-process description: Read the detailed data of connection indicators of poor-quality network elements. Data movement type: R. Data group: detailed data of connection indicators of poor-quality network elements. Data attribute: the number of normal 4G releases after the VoNR call is connected (called), the number of 4G network drops after the VoNR call is connected (called), the number of normal 4G releases after the VoNR call is connected, and the 4G network connection of the VoNR call Number of times (called), poor quality network element connection indicators, number of times VoNR calls fall back to 4G network but not connected (calling), number of times VoNR calls fall back to 4G network after being connected.

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: Export of EPSFB voice index warning data. Functional process: EPSFB voice indicator early warning data export. Sub-process description: export EPSFB voice index early warning data. Data movement type: X. Data group: EPSFB voice indicators early warning data. Data attributes: EPSFB voice call completion rate, EPSFB voice call drop rate, EPSFB active user number, EPSFB voice call duration, EPSFB active user number growth rate, EPSFB voice index warning, EPSFB voice fallback success rate, EPSFB voice call duration growth rate , the number of EPSFB registered users, and the success rate of EPSFB voice switching.

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 query. Function process: query the details of EPSFB fallback delay analysis data. Sub-process description: output EPSFB fallback delay analysis data details query result. Data movement type: X. Data group: EPSFB fallback delay analysis data details query results. Data attributes: EPSFB fallback delay analysis, EPSFB final call fallback success rate, deterioration index recovery time, EPSFB initial call fallback success rate, index compliance rate, index deterioration days, deterioration index description, index deterioration period 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: 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: Output the query result of VOLTE voice demand forecast configuration data details. Data movement type: X. Data group: query result of VOLTE voice demand forecast configuration data details. 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. Trigger event: P2P failure reason value data query. Functional process: P2P failure reason value data details query. Sub-process description: output P2P failure cause value data details query result. Data movement type: X. Data group: P2P failure cause value data details query result. Data attributes: indicator value, P2P failure reason value, first teardown message, last SIP status code, indicator name, Reason (Protocol), process failure reason, MSRP (REPORT (Req (Status (Code)))), first teardown 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 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: export 5G message user number index data. Data movement type: X. Data group: 5G message user number index data. Data attributes: indicators of the number of 5G message users, the success rate of messages uplinked from users to Chatbot, the total number of messages downlinked from Chatbot to users, the total delay of messages downlinked from Chatbot to users, the average delay of messages downlinked from Chatbot to users, and the number of messages uplinked from users to users. The total number of messages from Chatbot, the number of successful messages from users to Chatbot, and the number of successful messages from Chatbot 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, early warning of 5G voice indicators. Trigger event: VONR voice indicator warning data is added. Functional process: VONR voice index early warning data is added. Sub-process description: Update VONR voice indicator warning data. Data movement type: W. Data group: newly added VONR voice indicator early warning data. Data attributes: VONR voice fallback average delay, VONR voice switch success rate, VONR voice call duration growth rate, VONR voice call completion rate, number of active VONR users, VONR voice indicator warning, growth rate of active VONR users, VONR voice fallback Success rate, number of VONR registered users, growth rate of VONR registered 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, monitoring of 5G message indicators. Trigger event: Registration indicator monitoring data export. Functional process: export registration indicator monitoring data. Sub-process description: Export the registration indicator monitoring data. Data movement type: X. Data group: register indicator monitoring data. Data attributes: total delay of UE shutdown registration, total delay of emergency registration, index value, number of attempts, success rate of ordinary network side registration, registration index monitoring, total delay of ordinary UE registration, success rate of emergency registration, 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 VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data collection interface. Sub-process description: Receive 5G voice VONR call duration analysis data collection request. Data movement type: E. Data group: 5G voice VONR call duration analysis data collection request. Data attributes: collection address, time, collection quantity, source file 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 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: Read the 5G message terminal analysis and export template. Data movement type: R. Data group: 5G message terminal analysis and export template. Data attribute: 5G message terminal analysis export template.

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

Customer needs: 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. Triggering event: downloading of connection index data for poor quality cells. Functional process: downloading of connection index data for poor quality cells. Sub-process description: Input the request for downloading the connection indicator data of poor-quality cells. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: Display of configuration data of terminal rules with poor mass sending quality. Functional process: display the configuration data of group sending poor quality terminal rules. Sub-process description: read the configuration data of the group sending poor quality terminal rules. Data movement type: R. Data group: mass-send poor-quality terminal rule configuration data. Data attributes: effective or not, group sending poor quality terminal rule configuration, group sending average delay index threshold, group sending success rate index threshold, unit, group sending total delay index threshold, operator, 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: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: Display of poor quality network element analysis data. Functional process: display of poor quality network element analysis data. Sub-process description: Input the request for analysis and display of poor quality network elements. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request 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: Save the data table of the cause value of group sending failure to the GP table library. Data movement type: W. Data group: data table of group sending failure cause values. 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: export of registered indicator analysis data. Functional process: export of registration index analysis 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, 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: generate 5G voice VOLTE user number analysis abnormal data processing. Data movement type: W. Data group: analysis data of 5G voice VOLTE user numbers after exception processing. Data attributes: city, date, VOLTE initial registration average delay, VOLTE re-registration average delay, VOLTE network voice connection rate, 5G voice VOLTE user number analysis, VOLTE final call voice network connection rate, VOLTE initial call voice connection rate Average communication delay, VOLTE origination voice response 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 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: return the newly added result of P2P poor quality rule configuration data. Data movement type: X. Data group: the newly added result of P2P poor quality rule configuration data. Data attributes: whether the new result is successful, and the new time.

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

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: Read the VONR voice service quality monitoring index export template. Data movement type: R. Data group: VONR voice service quality monitoring index export template. Data attribute: VONR voice service quality monitoring index export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, 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: Read the business development indicator monitoring rule configuration export template. Data movement type: R. Data group: business development indicator monitoring rule configuration export template. Data attribute: business development indicator monitoring 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 poor quality perception analysis, poor quality business analysis. Trigger event: Export of poor-quality P2P service data. Functional process: Export of poor-quality P2P business data. Sub-process description: Export poor-quality P2P service data. Data movement type: X. Data set: poor quality P2P business data. Data attributes: large (mode message sending average delay (p2p)), page (mode message sending times (p2p)), city, p2p business quality conclusion, page (mode message sending times (p2p)), quality poor P2P business, date, large (number of successful message sending in mode (p2p)), factors of poor quality of p2p business, large (successful rate of message sending in mode (p2p)), large (number of message sending in mode (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 quality perception analysis, poor quality analysis data export. Trigger event: The analysis data of poor-quality terminals is added. Functional process: The analysis data of poor-quality terminals is added. Sub-process description: Read the rules to verify the poor quality terminal analysis data. Data movement type: R. Data group: verification rules for poor quality terminal analysis data. Data attributes: Poor quality terminal analysis 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 quality perception analysis, 5G message quality terminal analysis. Trigger event: Export of indicator data for poor-quality terminal file transfers. Functional process: Export of poor quality terminal file transfer index data. Sub-process description: Export the indicator data of poor-quality terminal file transfers. Data movement type: X. Data group: Indicator data of poor-quality terminal file transfers. Data attributes: average time delay of 5GM02 interface file download, city factors, terminal model, wireless network factors, user factors, conclusion, terminal brand, success rate of 5GM02 interface file upload, average time delay of 5GM02 interface file upload, poor quality terminal file transmission Class indicators, core network 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: VOLTE poor voice quality connection rule configuration data query. Functional process: Query the configuration data list of VOLTE poor voice quality connection rules. Sub-process description: Output the query result of the configuration data list of connection rules for poor VOLTE voice quality. Data movement type: X. Data group: query result of VOLTE poor voice quality connection rule configuration data list. Data attributes: poor quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), VOLTE voice quality poor connection rule configuration, network element quality index ratio, VOLTE call drop 4G network connection rate, participation in poor quality cell judgment The number of indicators, the number of users in the community, the proportion of poor terminal quality indicators, the poor quality factors of core network indicators (the proportion of poor quality core network), and the poor quality factors of individual user indicators (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 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: 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, analysis of key factors of poor quality business indicators. Trigger event: Chatbot poor quality business key factor data query. Functional process: Inquiry about the data details of the key factors of chatbot poor quality business. Sub-process description: Enter the data query request for the key factors of poor quality business of chatbot. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data query. Functional process: 5G voice EPSFB user number analysis data list query. Sub-process description: Read the 5G voice EPSFB user number analysis data list information. Data movement type: R. Data group: 5G voice EPSFB user number analysis data list information. Data attributes: number of calling initial registration delay measurements (EPSFB), 5G voice EPSFB user number analysis, number of called initial registration successes (EPSFB), number of initial registration delay measurements (EPSFB), number of called initial registration requests (EPSFB ), the number of initial registration failures (EPSFB), the number of initial registration successes of the calling party (EPSFB), the number of initial registration requests of the calling party (EPSFB), the number of initial registration requests (EPSFB), the growth rate of the number of active users (EPSFB), and the 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 forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice VONR user number prediction analysis data query. Functional process: 5G voice VONR user number prediction analysis data list query. Sub-process description: output 5G voice VONR user number prediction analysis data list query results. Data movement type: X. Data group: 5G voice VONR user number prediction analysis data list query results. Data attributes: forecast the number of VoNR active users in the peak hour of month n+2, the number of VoNR registered users in the peak hour of month n-May, the number of registered VoNR users in the peak hour of this month, the number of VoNR active users in the peak hour of this month, and the VoNR registration in the peak hour of this month Number of users, prefectures and cities, number of VoNR registered users in the peak hour of forecasted month n+2, forecast analysis of the number of 5G voice VONR users, date, number of registered VoNR users in the peak hour of forecasted month n+3.

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: P2P poor quality terminal rule configuration data is added. Function process: P2P poor quality terminal rule configuration data is added. Sub-process description: update the P2P poor quality terminal rule configuration data. Data movement type: W. Data group: newly added P2P poor quality terminal rule configuration data. Data attributes: p2p receiving success rate index threshold, effective or not, P2P poor-quality terminal rule configuration, proportion of poor-quality cities, p2p sending success rate index threshold, number, operator, rule 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 table is generated. Functional process: 5G voice EPSFB user number analysis data table generation (GP service library). Sub-process description: Read the verification rules to verify the 5G voice EPSFB user number analysis data. Data movement type: R. Data group: 5G voice EPSFB user number analysis data verification rules. 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: 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 is added. Functional process: VONR voice index early warning data is added. Sub-process description: read VONR voice indicator warning data. Data movement type: R. Data group: VONR voice indicators early warning data. Data attributes: VONR voice fallback average delay, VONR voice switch success rate, VONR voice call duration growth rate, VONR voice call completion rate, number of active VONR users, VONR voice indicator warning, growth rate of active VONR users, VONR voice fallback Success rate, number of VONR registered users, growth rate of VONR registered 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, analysis of indicator cause values. Trigger event: Data export of group sending failure reason value. Functional process: data export of group sending failure cause value. Sub-process description: Input the value of the reason for mass sending failure to export the request. Data movement type: E. Data group: export operation instruction of group sending failure cause value. 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data export. Functional process: VONR voice demand forecast configuration data export. Sub-process description: input VONR voice demand forecast configuration export request. Data movement type: E. Data group: VONR voice demand forecast configuration export operation command. 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 messaging service indicators, key indicators and trends of business development. Trigger event: 5G message sending key indicator data export. Functional process: 5G message sending key 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: 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: read the registration delay index data server account information. Data movement type: R. Data group: registration delay indicator data server account information. Data attributes: registration delay indicator data server IP, account number, 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality registration rule configuration data deletion. Functional process: Delete the registration rule configuration data for VONR poor voice quality. 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: the proportion of poor quality indicators in the community, the configuration of VONR voice quality poor registration rules, the proportion of network element quality indicators, the number of users in the community, the quality factors of individual user indicators (according to the number of attempts), the initial registration success of VoNR called rate, poor quality factors of core network indicators (proportion of poor quality core network), and the number of indicators participating in the judgment of poor quality cells.

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 class indicators and analyze abnormal data processing. Data movement type: W. Data group: analysis data of registered indicators after exception handling. 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: 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 details query. Sub-process description: Input Chatbot business indicator monitoring 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 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 statistics (HBASE library). Sub-process description: Save the statistical results of 5G voice VONR call duration analysis data to the HBASE library. Data movement type: W. Data group: statistical results of 5G voice VONR call duration analysis data. Data attributes: date, total connection delay measurement times (VoNR), normal release times (called) after VoNR calls are connected, times of normal 4G releases after VoNR calls are connected (called), VoNR calls fall back to 4G network connection times The number of calls (called), the number of 4G normal release times after the VoNR call is connected, the growth rate of VONR call duration, the number of times the VoNR call is not connected to the 4G network (calling), 5G voice VONR call duration analysis, cities, VoNR calls Reduce the number of 4G network connections (calling calls).

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. Triggering event: UP2.4 export of prediction data on the number of group text messages sent by terminals. Functional process: UP2.4 terminal group text message number prediction data export. Sub-process description: Read the prediction data of UP2.4 terminal group text messages. Data movement type: R. Data group: UP2.4 terminal group text message number forecast data. Data attribute: prediction of the number of group messages sent by UP2.4 terminals, n-number of group messages sent by UP2.4 terminals in April, n+number of group messages sent by UP2.4 terminals in February, n-number of group messages sent by UP2.4 terminals in May, n- Number of group messages sent by UP2.4 terminals in February, districts and counties, n-number of group messages sent by UP2.4 terminals in March, n-number of group messages sent by UP2.4 terminals in January, date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 business quality index data details query. Sub-process description: Enter the query request for Chatbot service quality indicator 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 monitoring of 5G message indicators, monitoring of 5G message indicators. Trigger event: Export of group sending indicator monitoring data. Functional process: export of monitoring data for group sending indicators. Sub-process description: read the monitoring data of group sending indicators. Data movement type: R. Data group: Group sending indicator monitoring data. Data attributes: Pager Mode message receiving delay (group sending), Pager Mode message sending success rate (group sending), Large Mode message sending total delay (group sending), number of attempts, group sending indicator monitoring, Large Mode message sending success rate (group sending) , Large Mode MRSP message receiving delay (group sending), UP2.4 terminal Pager Mode message receiving success rate (group sending), index value, UP2.4 terminal Large Mode message sending success rate (group sending), 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, analysis of key factors of poor quality business indicators. Trigger event: Chatbot poor quality business key factor data query. Functional process: query the data list of key factors of chatbot poor quality business. Sub-process description: Enter the data list query request of chatbot's poor quality business key factors. 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 quality perception analysis, poor quality terminal rule configuration. Trigger event: P2P poor quality terminal rule configuration data display. Functional process: P2P poor quality terminal rule configuration data display. Sub-process description: The output shows the P2P poor quality terminal rule configuration data. Data movement type: X. Data group: P2P poor quality terminal rule configuration data. Data attributes: unit, serial number, proportion of cities with poor quality, effective or not, rule name, average p2p receiving delay indicator threshold, p2p receiving success rate indicator threshold, P2P 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: 5G voice quality perception analysis, poor quality network element analysis. Trigger event: Inquiry of connection index data of poor-quality NEs. Functional process: Query the data list of connection indicators of poor-quality network elements. Sub-process description: output query results of poor-quality network element connection index data list. Data movement type: X. Data group: the query result of the poor-quality network element connectivity index data list. Data attributes: times of VoNR calls falling back to 4G network connection (called), times of VoNR calls falling back to 4G network connection (calling), times of normal release after VoNR calls are connected (called), times of VoNR calls falling back to 4G network, quality Poor network element connection indicators, times of normal 4G releases after VoNR calls are connected, times of 4G network drops after VoNR calls are connected, 4G (redirection access is successful but not connected (4GIMS problem 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 quality perception analysis, poor quality terminal rule configuration. Triggering event: Export of configuration data for bad registration terminal rules. Functional process: export the rule configuration data for terminals with poor registration quality. Sub-process description: export the configuration data of terminal rules with poor registration quality. Data movement type: X. Data group: register configuration data for poor-quality terminal rules. Data attributes: effective or not, unit, re-registration success rate indicator threshold, poor-quality city proportion, operator, number, re-registration average delay indicator threshold, rule name, registration average delay indicator threshold, registration success rate indicator threshold , register poor 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 prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data collection. Functional process: 5G voice VONR call duration analysis data conversion interface. Sub-process description: read 5G voice VONR call duration analysis data and convert. Data movement type: R. Data group: 5G voice VONR call duration analysis data. Data attributes: times of total connection delay measurement (VoNR), times of VoNR calls falling back to the 4G network (calling), prefectures and cities, times of VoNR calls falling back to the 4G network after being connected (calling), VoNR calls falling back after being connected Number of times of 4G network, times of VoNR calls falling back to 4G network not connected, times of VoNR calling falling back to 4G network not connected (called), analysis of 5G voice VONR call duration, growth rate of VONR call duration, times of normal release after VoNR call is connected, After the VoNR call is connected, it falls back to the normal 4G release times (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: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of key factors of P2P poor quality business. Functional process: Data export of key factors of P2P poor quality business. Sub-process description: export the key factor data of P2P poor quality business. Data movement type: X. Data set: data on key factors of P2P poor quality business. Data attributes: user index poor quality factor, pager mode message sending times (P2P), pager mode message sending success times (P2P), poor quality factor proportion, pager mode message receiving delay (P2P), large mode MRSP message sending times (P2P), Pager Mode message reception success times (P2P), wireless indicators poor quality factors, P2P poor business key factors, Pager Mode message reception times (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 quality perception analysis, poor quality cell analysis. Trigger event: Inquiry of connection index data of poor quality cells. Functional process: Inquiry about the details of connection index data of poor quality cells. Sub-process description: Read the detailed data of connection indicators of poor quality cells. Data movement type: R. Data group: detailed data of connection indicators of poor-quality communities. Data attributes: 4G network success rate of VoNR call drop after connection (calling party), EPS fallback success rate, poor quality cell connection indicators, VoNR call drop 4G network connection rate (called), VoNR call drop after connection 4G network success rate, prefecture and city, proportion of poor quality indicators, 4G network connection rate of VoNR call drop, 4G network connection rate of VoNR call drop (calling), 4G network success rate of VoNR call drop after connection (called) , District.

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 download. Functional process: 5G message group sending detailed list data download. Sub-process description: read the detailed list data of 5G message group sending. Data movement type: R. Data group: 5G message group sending detailed data. Data attributes: total delay in sending Pager Mode messages (group sending), total delay in sending Large Mode messages (group sending), detailed list of 5G message group sending, large mode MRSP message sending success rate (group sending), UP2.4 terminal Large Mode message reception Success rate (group sending), user, Large Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), Large Mode MRSP message receiving success rate (group sending), UP2.4 terminal Pager Mode message sending total Latency (group sending).

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: output the query result of VONR voice service quality monitoring index data details. Data movement type: X. Data group: query result of VONR voice service quality monitoring indicator data details. 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 voice quality perception analysis, poor quality network element analysis. Trigger event: Inquiry of connection index data of poor-quality NEs. Functional process: Query the data list of connection indicators of poor-quality network elements. Sub-process description: read the list information of connection index data of network elements with poor quality. Data movement type: R. Data group: data list information of connectivity indicators of poor quality network elements. Data attributes: times of VoNR calls falling back to 4G network connection (called), times of VoNR calls falling back to 4G network connection (calling), times of normal release after VoNR calls are connected (called), times of VoNR calls falling back to 4G network, quality Poor network element connection indicators, times of normal 4G releases after VoNR calls are connected, times of 4G network drops after VoNR calls are connected, 4G (redirection access is successful but not connected (4GIMS problem 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: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: message sending and receiving analysis (P2P) data query. Functional process: message sending and receiving analysis (P2P) data list query. Sub-process description: Output message sending and receiving analysis (P2P) data list query results. Data movement type: X. Data group: query result of message sending and receiving analysis (P2P) data list. Data attributes: Large Mode message receiving delay (P2P), Pager Mode message receiving success times (P2P), Large Mode MRSP message sending times (P2P), Pager Mode message receiving times (P2P), message sending and receiving analysis (P2P), Large Mode message sending total delay (P2P), Large Mode message sending times (P2P), Pager Mode message sending total delay (P2P), Pager Mode message sending success times (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: business development indicators analysis data collection. Functional process: business development indicators analysis data collection. Sub-process description: Read the verification rules to verify the business development index analysis data server account information. Data movement type: R. Data group: business development index analysis data server IP verification rules. Data attributes: business development indicators analysis data server IP, account number, password verification 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 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 analysis. Sub-process description: Save the 5G voice EPSFB call duration analysis data to the GP database. Data movement type: W. Data group: 5G voice EPSFB call duration analysis data. Data attributes: EPSFB total connection delay (5T5), EPSFB voice call times, EPSFB call connection total delay (switching method), EPSFB call connection total delay (redirection method), EPSFB call drop rate growth rate, 5G voice EPSFB call duration analysis, date, city, EPSFB caller voice call times.

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: Generate 5G voice VONR call duration analysis data table. Data movement type: W. Data set: 5G voice VONR call duration analysis data table. 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: 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: 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. 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: generate a poor-quality file transmission business data table. 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: 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 list query. Sub-process description: Read the detailed data list information of 5G message group sending. Data movement type: R. Data group: 5G message group sending detailed data list information. Data attributes: Large Mode MRSP message sending success rate (group sending), UP2.4 terminal Large Mode message receiving delay (group sending), Large Mode MRSP message receiving success rate (group sending), Pager Mode message receiving delay (group sending), UP2 .4 Terminal Pager Mode message receiving delay (group sending), UP2.4 terminal Large Mode message sending success rate (group sending), UP2.4 terminal Large Mode message receiving success rate (group sending), city, Large Mode message sending success rate (group sending), Large Mode MRSP message sending total delay (group sending), 5G message group sending details.

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: Export of EPSFB voice demand forecast configuration data. Functional process: EPSFB voice demand forecast configuration data export. Sub-process description: Input EPSFB voice demand forecast configuration export request. Data movement type: E. Data group: EPSFB voice demand forecast configuration export operation command. 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 message indicators, multi-dimensional aggregation and presentation. Trigger event: prefecture-city registration aggregation dimension data query. Functional process: Query the details of the aggregation dimension data of prefecture-city registration. Sub-process description: Read prefecture-city registration aggregation dimension detail data. Data movement type: R. Data group: prefecture-city registration aggregation dimension detail data. Data attributes: time period, large mode message receiving success rate (P2P), large mode message sending success rate (group sending), re-registration success rate, prefectural registration aggregation dimension, user uplink message success rate to Chatbot, initial registration success rate, city.

Customer needs: 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 is added. Functional process: VONR voice index early warning data is added. Sub-process description: Read the rules to verify the VONR voice index early warning data. Data movement type: R. Data group: VONR voice index warning data verification rules. Data attributes: VONR voice index warning data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data query of key business factors of poor registration quality. Functional process: query the data list of key factors of poor registration quality business. Sub-process description: output the data list query results of the key factors of poor registration quality business. Data movement type: X. Data group: the query result of the data list of key factors of poor registration quality business. Data attributes: core network indicators poor quality factors, UP2.4 terminal initial registration success times, initial registration success times, wireless indicators poor quality factors, poor quality factors proportion, registration poor business key factors, initial registration total delay, users Index quality factors, the number of initial registration requests, the total delay of re-registration, and the number of re-registration requests 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: 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 is added. Functional process: The configuration data of the 5G message user number demand prediction rule is added. Sub-process description: Update the configuration data of the 5G message user number demand prediction rule. Data movement type: W. Data group: newly added 5G message user number demand prediction rule configuration data. Data attributes: growth rate of 5G message users in n+3 months, growth rate of 5G message users in n+August, growth rate of 5G message users in n+June, growth rate of 5G message users in n+September, 5G message users Number demand forecasting rule configuration, the growth rate of the number of 5G message users in n+1 months, whether it takes effect.

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. Triggering event: Query of registration index data of poor-quality communities. Functional process: Query the list of registration index data of poor-quality communities. Sub-process description: Read the registration index data list information of poor-quality residential areas. Data movement type: R. Data group: information about the registration index data list of poor-quality communities. Data attributes: cell, number of poor quality indicators, average initial registration delay, calling initial registration success rate, poor quality community registration indicators, initial registration success rate, called initial registration success rate, called initial registration average delay, The proportion of poor 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: 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: Read the account information of the 5G voice VONR call duration analysis data server. Data movement type: R. Data group: 5G voice VONR call duration analysis data server account information. Data attributes: 5G voice VONR call duration analysis data server IP, account number, password.

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: Chatbot poor quality business key factor data query. Functional process: query the data list of key factors of chatbot poor quality business. Sub-process description: Output the data list query results of chatbot's poor quality business key factors. Data movement type: X. Data group: query result of data list of key factors of chatbot poor quality business. Data attributes: the proportion of poor quality factors, the total delay of messages downlinked by UP2.4 terminal Chatbot to users, the factors of poor quality of user indicators, the factors of poor quality of indicators of prefectures and cities, the factors of poor quality of core network indicators, the downlink of UP2.4 terminal Chatbot to The total number of messages from users, the number of successful uplink messages from UP2.4 terminal users to Chatbot, the factors of poor quality of wireless indicators, the key factors of poor quality chatbot services, the total delay of uplink messages from UP2.4 terminal users to Chatbot, and the UP2.4 terminal The number of messages that Chatbot has successfully downlinked to users.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: UP2.4 terminal 5G message indicator data download. Function process: UP2.4 terminal 5G message indicator data download. Sub-process description: Input UP2.4 terminal 5G message indicator data download request. Data movement type: E. Data group: download operation instruction. Data attributes: download time, download format.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 statistics (HBASE library). Sub-process description: read statistical rules and perform statistical calculations on 5G message user & terminal early warning data. Data movement type: R. Data group: 5G message user & terminal early warning data statistical rules. Data attributes: summary conditions, summary dimensions.

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 group sending indicator monitoring data. Functional process: export of monitoring data for group sending indicators. Sub-process description: Read the export template for group sending indicator monitoring. Data movement type: R. Data group: the export template for group sending indicator monitoring. Data attribute: the export template for group sending indicator monitoring.

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: Input 5G message terminal analysis and export request. Data movement type: E. Data group: 5G message terminal analysis and export operation instructions. 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: 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: Input the VONR voice service quality monitoring index data query request for details. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, 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 interface. Sub-process description: return 5G voice VONR user number analysis data. Data movement type: X. Data group: 5G voice VONR user number analysis and collection data. Data attributes: prefectures and cities, number of successful establishment of VoNR dedicated load (called), number of times of establishment of VoNR dedicated load (calling), number of successful establishment of VoNR dedicated load (calling), number of failed establishment of VoNR dedicated load (called), VoNR The number of dedicated load establishment failures, the growth rate of the number of active VONR users, the analysis of the number of 5G voice VONR users, the number of failed VoNR dedicated load establishments (calling), and the number of VoNR untriggered dedicated load establishments (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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality P2P service data query. Functional process: list query of poor quality P2P business data. Sub-process description: output the list query results of poor-quality P2P service data. Data movement type: X. Data group: query result of poor quality P2P business data list. Data attributes: core network factors of poor p2p business quality, poor quality P2P business, large (mode message sending success rate (p2p)), p2p business quality poor city factors, page (mode message sending average delay (p2p)), date , large (number of times message sent in mode (p2p)), page (number of times message sent successfully in mode (p2p)), conclusion of poor p2p service quality, prefecture, large (number of times message sent successfully in mode (p2p)).

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

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: read the configuration data of P2P poor quality rules. Data movement type: R. 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: 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 P2P poor quality business. Functional process: Data export of key factors of P2P poor quality business. Sub-process description: input the request for exporting the key factors of P2P poor quality business. Data movement type: E. Data group: export operation instructions for key factors of poor P2P business. 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: 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: Save the quality closed-loop data table of the EPSFB call quality class to the GP table library. Data movement type: W. Data group: EPSFB call quality closed-loop data table. Data attributes: index normal value (1 point), index deterioration value (2 points), index deterioration value (11 points), index normal value (22 points), index deterioration value (14 points), EPSFB call quality closed-loop quality, Index deterioration value (17 points), index deterioration 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 requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data export. Functional process: 5G voice EPSFB call duration analysis data export. Sub-process description: Input 5G voice EPSFB call duration analysis and export request. Data movement type: E. Data group: 5G voice EPSFB call duration 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: 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: 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: export of chatbot terminal rule configuration data with poor quality. Functional process: Chatbot poor quality terminal rule configuration data export. Sub-process description: Input chatbot poor quality terminal rule configuration export request. Data movement type: E. Data group: chatbot poor quality terminal rule configuration export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Triggering event: data query of group sending failure reason value. Functional process: Query the data list of the cause value of mass sending failure. Sub-process description: Read the data list information of the group sending failure reason value. Data movement type: R. Data group: data list information of group sending failure reason values. Data attributes: indicator name, MSRP (REPORT (Req (Status (Code)))), first SIP status code, last SIP status code, first reason, reason value, Reason (Protocol), group sending failure reason value.

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 collection. Sub-process description: Read the account information of the 5G voice EPSFB user number analysis data server. Data movement type: R. Data group: 5G voice EPSFB user number analysis data server account information. Data attributes: 5G voice EPSFB user number analysis data server IP, account number, password.

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 display. Functional process: UP2.4 terminal user number prediction rule configuration data display. Sub-process description: Input UP2.4 terminal user number prediction rule configuration display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request 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 prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: P2P & mass message early warning data table generation. Functional process: P2P & group message early warning data table generation (GP business library). Sub-process description: Timing triggers P2P & group message warning data table generation task. 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: 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. Sub-process description: Input the number of 5G voice VOLTE users and analyze the data conversion request. Data movement type: E. Data group: 5G voice VOLTE user number 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: 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 VOLTE voice demand forecast configuration data. Data movement type: R. Data group: VOLTE voice demand forecast configuration data. Data attributes: VOLTE network voice connection rate poor quality threshold, VOLTE user voice response rate poor quality threshold, VOLTE initial call voice response rate poor quality threshold, VOLTE voice downlink RTP packet loss rate poor quality threshold, VOLTE voice connection rate poor quality Threshold, VOLTE final call voice completion rate poor quality threshold, VOLTE voice demand forecast configuration.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: Input the export request of the 5G message user number index. Data movement type: E. Data group: 5G news user number index export operation instruction. Data attributes: data time, city, equipment manufacturer.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data modification. Functional process: P2P indicator monitoring rule configuration data modification. Sub-process description: Input P2P 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: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality delay rule configuration data query. Function process: VOLTE poor voice quality delay rule configuration data list query. Sub-process description: Input the query request for VOLTE voice quality delay rule configuration 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: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: P2P poor quality indicator data download. Functional process: P2P type poor quality indicator data download. Sub-process description: read the data of P2P poor quality indicators. Data movement type: R. Data set: P2P poor quality indicator data. Data attributes: date, P2P poor quality index, UP2.4 terminal Large Mode message receiving delay (P2P), UP2.4 terminal Large Mode message receiving success rate (P2P), Pager Mode message sending success rate (P2P), UP2 .4 Terminal Pager Mode message receiving delay (P2P), UP2.4 Terminal Large Mode message sending success rate (P2P), Pager Mode message sending total delay (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message sending total delay (P2P), UP2.4 terminal Pager Mode message receiving 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 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: Enter a detailed query request for poor-quality terminal business 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 connected quality closed-loop data table is generated. Functional process: VONR connection quality closed-loop data table generation (GP business library). Sub-process description: Read the verification rules to verify the closed-loop data of VONR connection quality. Data movement type: R. Data group: VONR connection quality closed-loop data verification rules. Data attributes: index normal value (20 points), index normal value (9 points), index degradation value (5 points), VoNR origination (voice) connection average delay, VONR connection quality closed loop, degradation index description, Index normal value (4 points), index deterioration value (4 points), index normal value (0 point).