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Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality network element analysis. Triggering event: Query for registration index data of poor quality NEs. Functional process: Query the details of registration index data of poor-quality NEs. Sub-process description: Input a query request for the details of registration index data of poor-quality network elements. 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 news indicators, city ranking and trend analysis. Trigger event: data query for file transfer indicators, city trend analysis. Functional process: detailed query of file transfer indicators, city trend analysis data. Sub-process description: Read the detailed data of the file transfer indicator city trend analysis. Data movement type: R. Data group: detailed data of file transfer indicators, city trend analysis. Data attributes: 5GM02 interface file download total delay, city, 5GM02 interface file upload success rate, 5GM02 interface file download failure times, 5GM02 interface file upload total delay, threshold value, 5GM02 interface file upload success times, 5GM02 interface file Download the total number of times, date, file transfer indicators city trend analysis. |
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 time delay index data for poor quality cells. Functional process: Download the time-delay index data of poor-quality cells. Sub-process description: Input the request for downloading the time-delay 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: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data export. Functional process: 5G voice EPSFB call duration analysis data export. Sub-process description: read 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data. Data attributes: EPSFB total connection delay (5T4), EPSFB total connection delay measurement times (5T4), EPSFB call connection total delay (redirection method), EPSFB call connection total delay (switching method), The number of EPSFB calling voice calls, the total delay of EPSFB connection (5T5), and the analysis of 5G voice EPSFB call duration. |
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: input file transfer indicator monitoring 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 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: export P2P short message number demand prediction 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+6 months, growth rate of P2P messages in n+August, growth rate of P2P messages in n+9 months, growth rate of P2P messages in n+4 months, and P2P messages in n+7 months Growth rate, the number of P2P SMS demand forecast rule configuration, the number of P2P messages this month. |
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 export. Functional process: EPSFB call quality quality closed-loop data export. Sub-process description: Input EPSFB call quality class quality closed-loop export request. Data movement type: E. Data group: EPSFB call quality class quality closed-loop 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 of indicators. Triggering event: The data export of terminal business aggregation indicators. Functional process: export the aggregation indicator data of terminal business class. Sub-process description: read the export template of the aggregation index of the terminal business class. Data movement type: R. Data group: the template for exporting aggregation indicators of terminal business classes. Data attribute: the export template of terminal business aggregation indicators. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicators early warning data query. Functional process: Query the details of VONR voice index early warning data. Sub-process description: Output the detailed query results of VONR voice index early warning data. Data movement type: X. Data group: Query result of VONR voice index early warning data details. Data attributes: VONR voice call completion rate, VONR active user number growth rate, VONR voice call duration growth rate, VONR active user number, VONR voice switching success rate, VONR voice indicator warning, and VONR registered user number. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development indicators analysis data analysis. Sub-process description: Input business development index analysis data analysis request. Data movement type: E. Data group: system time. Data attribute: system time. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, 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: read the data of the cause value of the mass sending failure. Data movement type: R. Data group: data of group sending failure reason value. Data attributes: indicator name, indicator value, process failure reason, mass sending failure reason value, first demolition SIP status code, Reason (Protocol), last SIP status code. |
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 is added. Function process: VONR voice demand forecast configuration data is added. Sub-process description: Read the rules to check the VONR voice demand forecast configuration data. Data movement type: R. Data group: VONR voice demand forecast configuration data verification rules. Data attributes: VONR voice demand forecast configuration data non-null check, data format check. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Export of aggregated indicator data for message group sending. Functional process: export of aggregated indicator data for message group sending. Sub-process description: read the aggregation indicator data of message group sending. Data movement type: R. Data group: aggregated indicator data for message group sending. Data attributes: Large Mode message sending times (group sending), Large Mode MRSP message receiving times (group sending), Large Mode message receiving success times (group sending), Pager Mode message sending times (group sending), Large Mode MRSP message sending times (group sending) ,Message mass sending aggregation index,Large Mode message reception times (mass sending). |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality delay rule configuration data modification. Functional process: Modify the configuration data of the VOLTE voice quality delay rule. Sub-process description: update the configuration data of VOLTE voice quality delay rule. Data movement type: W. Data group: modified VOLTE voice quality delay rule configuration data. Data attributes: VOLTE voice quality delay rule configuration, VOLTE voice connection average delay, VOLTE initial registration average delay, third-party registration success delay, core network indicators poor quality factors (proportion of poor quality core network), community The proportion of poor quality indicators, the number of users in the cell, and the average delay of VOLTE re-registration. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, analysis and forecast of 5G message user numbers. Trigger event: UP2.4 user analysis data export. Functional process: UP2.4 user analysis data export. Sub-process description: Input UP2.4 user analysis export request. Data movement type: E. Data group: UP2.4 user 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: intelligent analysis of VONR calling delay, call auxiliary delay statistics. Trigger event: N26 interface delay data query. Function process: N26 interface delay data list query. Sub-process description: Input N26 interface delay data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: user-aware aggregation dimension data export. Functional process: user-aware aggregation dimension data export. Sub-process description: read the user-perceived aggregation dimension export template. Data movement type: R. Data group: user-aware aggregation dimension export template. Data attribute: user-aware aggregation dimension export template. |
Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: VONR intelligent analysis of calling delay, poor quality of terminal delay. Trigger event: terminal EPSFB delay data query. Functional process: Query the details of the terminal EPSFB delay data. Sub-process description: Read terminal EPSFB delay details data. Data movement type: R. Data group: terminal EPSFB delay details data. Data attributes: terminal model, terminal EPSFB delay, average EPSFB initial call delay, EPSFB final call average delay, EPSFB initial call connection times, EPSFB final call total number, EPSFB final call successful count, date, The number of successful EPSFB initial call dropbacks, the average delay of EPSFB initial call connection, tac. |
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: 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 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: read VONR voice demand forecast configuration details data. Data movement type: R. Data group: VONR voice demand forecast configuration details data. Data attributes: VONR third-party registration success rate poor quality threshold, VONR final call voice connection rate poor quality threshold, VONR initial call voice network connection rate (V2V quality poor threshold), VONR user voice response rate poor quality threshold, VONR heavy Registration success rate poor quality threshold, VONR initial registration success rate poor quality threshold, VONR initial call voice response rate poor quality threshold, VONR voice demand forecast configuration, VONR registration success 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 poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of chatbot's poor quality business key factors. Functional process: Data export of chatbot's poor quality business key factors. Sub-process description: Input the request for exporting the key factors of chatbot poor quality business. Data movement type: E. Data group: export operation instructions for key factors of chatbot poor quality business. 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: VOLTE poor voice quality delay rule configuration data modification. Functional process: Modify the configuration data of the VOLTE voice quality delay rule. Sub-process description: Return the modification result. Data movement type: X. Data group: VOLTE poor voice quality delay rule configuration data modification results. Data attributes: modification time, change record. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality file transfer business data query. Functional process: Query the list of bad quality file transfer business data. Sub-process description: read the bad-quality file transfer business data list information. Data movement type: R. Data group: list information of poor quality file transfer business data. Data attributes: factors of poor file transfer quality and cities, number of successful file downloads on 5GM02 interface, cities, success rate of file uploads on 5GM02 interface, poor quality file transfer services, average file download delay on 5GM02 interface, conclusion of poor file transfer quality, 5GM02 interface The number of successful file uploads. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business index cause value data query. Functional process: query the details of the cause value data of Chatbot business indicators. Sub-process description: output the query result of Chatbot business indicator cause value data details. Data movement type: X. Data group: Chatbot business indicator cause value data details query result. Data attributes: reason value, reason value of Chatbot business indicators, MSRP (REPORT (Req (Status (Code)))), Chatbot indicators, last SIP status code, process failure reason, first teardown message. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality file transfer business data query. Functional process: Query the list of bad quality file transfer business data. Sub-process description: Output the list query results of poor-quality file transfer business data. Data movement type: X. Data group: query result of poor quality file transfer business data list. Data attributes: factors of poor file transfer quality and cities, number of successful file downloads on 5GM02 interface, cities, success rate of file uploads on 5GM02 interface, poor quality file transfer services, average file download delay on 5GM02 interface, conclusion of poor file transfer quality, 5GM02 interface The number of successful file uploads. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: query of terminal information and data with poor core network quality. Functional process: Query the details of terminal information and data with poor core network quality. Sub-process description: Input the query request for detailed information and data of terminals with poor core network quality. 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: modification of analysis data for poor-quality terminals. Functional process: modify the analysis data of poor-quality terminals. Sub-process description: Return the modification result. Data movement type: X. Data group: the modification result of poor quality terminal analysis data. Data attributes: modification time, change record. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: Query data of poor-quality terminal business indicators. Functional process: Query the data list of poor-quality terminal business indicators. Sub-process description: Output the query results of the poor-quality terminal business index data list. Data movement type: X. Data group: query result of poor-quality terminal business index data list. Data attributes: user factors, tcp establishment success rate, core network factors, wireless network factors, city factors, conclusions, poor quality terminal business indicators, terminal brand, tac. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR voice quality poor registration rule configuration data is added. Function process: The configuration data of VONR poor voice quality registration rules is added. Sub-process description: 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 number of indicators participating in the judgment of poor-quality communities, the number of users in the community, the configuration of VONR voice quality registration rules, the quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), the success rate of VoNR initial registration, and the initial registration of VoNR Success rate, individual user indicator quality factors (according to the number of attempts), the proportion of the number of poor quality indicators in the cell, the proportion of the number of terminal quality indicators, the proportion of the number of network element quality indicators, and the initial registration success rate of VoNR callers. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: The connection rule configuration data of poor VOLTE voice quality is added. Functional process: The configuration data of connection rules for VOLTE poor voice quality is added. Sub-process description: read the configuration data of connection rules for poor voice quality of VOLTE. Data movement type: R. Data group: VOLTE poor voice quality connection rule configuration data. Data attributes: EPS fallback success rate, number of indicators participating in poor-quality community judgment, number of community users, proportion of network element quality indicators, core network indicator quality factors (poor-quality core network proportion), prefecture-city indicators poor quality Factors (proportion of cities with poor quality), 4G network success rate after VOLTE call is connected, 4G network connection rate of VOLTE call drop, VOLTE voice connection rule configuration with poor quality, proportion of terminal quality indicators, individual user indicators Poor quality factor (by number of attempts). |
Customer needs: 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: downloading of analysis data of poor-quality terminal delay index factors. Functional process: Download the analysis data of the time delay index factors of poor quality terminals. Sub-process description: Save the download data of the terminal delay index factor analysis of poor quality terminals. Data movement type: W. Data set: analysis and download data of delay index factors of poor quality terminals. Data attributes: city factors, number of poor quality indicators, wireless network factors, core network factors, conclusion, analysis of poor quality terminal delay index factors, third-party registration success delay, user factors, voice uplink average delay (RTCP), The average delay of initial registration and the average delay of re-registration. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Configuration data modification of poor quality rules for file transfers. Functional process: Modify the configuration data of the poor quality rule of the file transfer class. Sub-process description: Update the configuration data of the poor quality rule of the file transfer class. Data movement type: W. Data group: Modified file transfer class poor quality rule configuration data. Data attributes: serial number, configuration of poor quality rules for file transfers, poor quality factors of wireless indicators, proportion of poor quality, success rate of file downloads, operators, poor quality factors of core network indicators, success rate of file uploads, poor quality factors of individual user indicators . |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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: 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 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: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: Export of aggregated dimension data with poor terminal quality. Functional process: Export of aggregated dimension data with poor terminal quality. 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 VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data conversion. Sub-process description: Input the number of 5G voice VONR users to analyze the data conversion request. Data movement type: E. Data group: 5G voice VONR user number analysis data conversion request. Data attributes: data time, conversion method. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal P2P SMS prediction rule configuration data is added. Function process: UP2.4 terminal P2P SMS prediction rule configuration data is added. Sub-process description: Input the new request of UP2.4 terminal P2P short message prediction rule configuration data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: P2P SMS demand forecasting rule configuration data is added. Functional process: The configuration data of the P2P short message number demand prediction rule is added. Sub-process description: read rule verification P2P short message number demand prediction rule configuration data. Data movement type: R. Data group: P2P short message number demand prediction rule configuration data verification rule. Data attribute: P2P short message number demand prediction rule configuration data non-null check, data format check. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data export. Functional process: P2P indicator monitoring rule configuration data export. Sub-process description: export P2P indicator monitoring rule configuration data. Data movement type: X. Data group: P2P indicator monitoring rule configuration data. Data attributes: indicator Chinese name, p2p business indicator, dynamic threshold position, poor quality threshold, P2P indicator monitoring rule configuration, threshold type, indicator English name, KPI proportion. |
Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: IMS domain latency index data query. Functional process: Query the details of IMS domain delay index data. Sub-process description: Read the detailed data of the IMS domain delay index. Data movement type: R. Data group: detailed data of IMS domain latency indicators. Data attributes: IMS domain total delay (VoNR), IMS domain total delay measurement times (VoNR), IMS domain delay index, IMS forwarding and called paging delay (VoNR), IMS forwarding and called paging total Delay (VNR2VNR), IMS domain delay (VoNR), IMS domain total delay (VNR2VNR), IMS forwarding and called paging total delay measurement times (VNR2VNR), IMS forwarding and called paging total delay ( VoNR). |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicator analysis data query. Functional process: business development index analysis data list query. Sub-process description: input query request for business development index analysis data list. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice 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: Read the template for exporting indicators of poor-quality network element connectivity. Data movement type: R. Data group: export template of poor-quality network element connectivity indicators. Data attribute: export template of poor-quality NE connectivity indicators. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality load indicator data table. Functional process: generation of poor quality load index data table (GP business library). Sub-process description: Generate abnormal data processing of poor quality load indicators. Data movement type: W. Data group: the data of poor quality load indicators after exception processing. Data attributes: growth rate of 5G message terminals, growth rate of 5G message users, number of 5G message terminals, number of 5G message users of UP2.4 terminals, poor quality load index, number of 5G message terminals of UP2.4 terminals, 5G message terminals of UP2.4 terminals Growth rate, current number of 5G message users, 5G message user load threshold, date. |
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 export. Functional process: EPSFB call quality quality closed-loop data export. Sub-process description: Read the quality closed-loop export template of EPSFB call quality class. Data movement type: R. Data group: EPSFB call quality closed-loop export template. Data attribute: EPSFB call quality closed-loop export template. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data table is generated. Functional process: 5G voice EPSFB call duration analysis data table generation (GP service library). Sub-process description: Generate 5G voice EPSFB call duration analysis data table. Data movement type: W. Data group: 5G voice EPSFB call duration analysis data table. Data attributes: 5G voice EPSFB call duration analysis, EPSFB call drop rate growth rate, EPSFB total call connection delay measurement times (redirection mode), EPSFB total connection delay measurement times (5T5), EPSFB called voice call times , EPSFB call duration growth rate, EPSFB total connection delay (5T5), EPSFB caller voice call times. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 export. Functional process: 5G message user number demand prediction rule configuration data export. Sub-process description: Input 5G message user number demand prediction rule configuration export request. Data movement type: E. Data group: 5G message user number demand prediction 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: 5G voice quality perception analysis, poor quality terminal analysis. Trigger event: download of factor analysis data for poor quality terminal registration indicators. Functional process: Download the factor analysis data of poor quality terminal registration indicators. Sub-process description: save the downloaded data of factor analysis of poor quality terminal registration indicators. Data movement type: W. Data set: Download data for factor analysis of poor quality terminal registration indicators. Data attributes: proportion of poor quality indicators, factor analysis of poor quality terminal registration indicators, wireless network factors, terminal models, user factors, initial registration success rate, number of poor quality indicators, called initial registration success rate, city factors, 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 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 interface. Sub-process description: Receive 5G voice EPSFB user number analysis data collection request. Data movement type: E. Data group: 5G voice EPSFB user number 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: 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 poor-quality chatbot business. Sub-process description: Output the detailed query results of the key factors of chatbot poor quality business. Data movement type: X. Data group: detailed query results of chatbot business key factors of poor quality. Data attributes: factors of poor quality of prefectural and city indicators, key factors of poor quality chatbot business, number of successful uplink messages from UP2.4 terminal users to Chatbot, proportion of poor quality factors, number of successful messages downlinked from Chatbot to users, number of messages uplinked from users to Chatbot The number of message successes, the total delay of UP2.4 end user uplink messages to Chatbot. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G messaging service indicators, key indicators and trends of business development. Trigger event: 5G messaging business key indicator data query. Functional process: Query the key indicator data list of 5G message business. Sub-process description: Output the query result of the key indicator data list of 5G message business. Data movement type: X. Data group: query result of key indicator data list of 5G messaging business. Data attributes: the number of successful TCP establishments, the total number of authentications initiated by the terminal to the storage server, the total delay of HTTP responses, key indicators of 5G message services, the total delay of TCP establishments, the average delay of HTTP responses, and the authentication initiated by the terminal on the storage server Success rate, TCP establishment average delay, HTTP business success 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, call auxiliary delay statistics. Trigger event: N11 interface delay data download. Functional process: N11 interface delay data download. Sub-process description: Input N11 interface delay 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 monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: Display of business development indicator monitoring rule configuration data. Functional process: business development indicator monitoring rule configuration data display. Sub-process description: Input the service development indicator monitoring 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: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor quality file transfer business data table. Functional process: poor quality file transfer business data statistics (HBASE library). Sub-process description: Input the bad-quality file transfer business data statistics request. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension. |
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: export 5G voice EPSFB user number prediction and analysis data. Data movement type: X. Data group: 5G voice EPSFB user number prediction and analysis data. Data attributes: Number of active EPSFB users in the peak hour of month n-2, predicted number of active EPSFB users in the peak hour of month n+2, prediction and analysis of the number of EPSFB users for 5G voice, forecast number of active EPSFB users in the peak hour of month n+1, month n-4 Number of active EPSFB users in peak hour, n-number of active EPSFB users in peak hour in May, number of active EPSFB users in peak hour of this month, number of active EPSFB users in peak hour of this month, n-number of active EPSFB users in peak hour in March, forecast n+ The number of EPSFB active users in the peak hour in March, n-the number of EPSFB active users in the peak hour in January. |
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 modification. Functional process: Modify the configuration data of P2P short message number demand prediction rules. Sub-process description: update the configuration data of the P2P short message number demand prediction rule. Data movement type: W. Data group: the configuration data of the modified P2P short message number demand prediction rule. Data attributes: growth rate of P2P messages in n+3 months, growth rate of P2P messages in n+2 months, P2P SMS demand forecast rule configuration, growth rate of P2P messages in n+4 months, growth rate of P2P messages in n+1 months , the number of P2P messages this month, the growth rate of the number of P2P messages in n+8 months, and the number of months for which the indicator predicts historical data. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: registration failure reason value data download. Functional process: download the registration failure reason value data. Sub-process description: read the registration failure reason value data. Data movement type: R. Data group: registration failure reason value data. Data attributes: indicator name, reason for first removal, registration indicator, reason for process failure, first removal SIP status code, reason value for registration failure, first removal message. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G news indicators, city ranking and trend analysis. Trigger event: Query the ranking data of registered cities and cities. Functional process: Query the details of the ranking data of registered index cities. Sub-process description: output the detailed query results of the ranking data of registration indicators. Data movement type: X. Data group: detailed query results of the ranking data of registered index prefectures and cities. Data attributes: sorting level, city, date, mobility registration success rate, initial registration total delay, emergency registration total delay, registration indicator city ranking. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data export. Functional process: 5G voice EPSFB user number analysis data export. Sub-process description: export 5G voice EPSFB user number analysis data. Data movement type: X. Data group: 5G voice EPSFB user number analysis data. Data attributes: called initial registration failure times (EPSFB), called initial registration delay measurement times (EPSFB), city, called called initial registration success times (EPSFB), called called initial registration request times (EPSFB), active users Number growth rate (EPSFB), number of caller initial registration failures (EPSFB), 5G voice EPSFB user number analysis, number of caller initial registration successes (EPSFB), date, caller initial registration delay measurement times (EPSFB). |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, 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: output the detailed query results of key factors of poor business development quality. Data movement type: X. Data group: detailed query results of key factors of poor business development quality. Data attributes: the total number of authentications initiated by the terminal to the storage server, the key factors of poor business development, the total delay of HTTP responses, the number of successful TCP establishments (core network), the number of successful TCP establishments (wireless side), the total delay of TCP establishments, The proportion of poor quality factors, the number of successful HTTP services, and the poor quality factors of wireless 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 registration class quality closed-loop data export. Functional process: VONR registration class quality closed-loop 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: VONR intelligent analysis of calling delay, poor quality of cell delay. Trigger event: Cell EPSFB delay data export. Functional process: Cell EPSFB delay data export. Sub-process description: Read cell EPSFB delay data. Data movement type: R. Data group: cell EPSFB delay data. Data attributes: EPSFB initial call connection times, EPSFB average delay, cell EPSFB delay, total number of EPSFB final call fallbacks, total EPSFB initial call fallback times, date, cell. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent forecasting of 5G voice service demand, 5G voice demand and predicted city rankings and trends. Trigger event: 5G voice VONR user number prediction analysis data query. Functional process: query the details of 5G voice VONR user number prediction and analysis data. Sub-process description: Read the detailed data of 5G voice VONR user number prediction analysis. Data movement type: R. Data group: 5G voice VONR user number prediction analysis detailed data. Data attributes: number of VoNR registered users in peak hours of month n-1, prefectures and cities, number of VoNR registered users in peak hours of months n-2, forecast analysis of 5G voice VoNR users, forecast number of VoNR active users in peak hours of month n+3, this month Number of VoNR active users in peak hour, predicted number of active VoNR users in peak hour in month n+2, number of active VoNR users in peak hour in this month, number of registered VoNR users in peak hour in this month, number of active VoNR users in peak hour in month n-4, n- The number of VoNR registered users at the peak hour in April. |
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 indicator analysis data query. Functional process: detailed query of business development indicators analysis data. Sub-process description: Enter a request for detailed query of business development indicator analysis data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Triggering event: downloading of analysis data of call quality indicators for poor-quality terminals. Functional process: Download the analysis data of the poor quality terminal call quality index factors. Sub-process description: Download the analysis data of call quality index factors of poor-quality terminals. Data movement type: W. Data group: Analysis data of call quality indicators of poor quality terminals. Data attributes: proportion of poor quality indicators, city factors, terminal brand, VoNR (voice) uplink RTP packet loss rate, factor analysis of poor quality terminal call quality indicators, terminal model, VoNR (voice) drop rate, user factors, VoNR (Voice) Uplink Average MOS, Conclusion. |
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: 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data query. Functional process: VONR voice demand forecast configuration data list query. Sub-process description: output the query result of VONR voice demand forecast configuration data list. Data movement type: X. Data group: query result of VONR voice demand forecast configuration data list. Data attributes: poor quality threshold for VONR registration success rate, VONR voice demand forecast configuration, poor quality threshold for VONR originating voice network connection rate, poor quality threshold for VONR originating voice response rate, poor quality threshold for VONR voice connection rate, VONR heavy Registration success rate poor quality threshold, VONR user voice response rate poor quality threshold, VONR initial call voice network connection rate (V2V quality threshold), VONR final call voice response rate poor quality 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: Deletion of VONR voice quality delay rule configuration data. Functional process: Delete the configuration data of VONR voice quality delay rule. Sub-process description: Update the configuration data of VONR voice quality delay rule. Data movement type: W. Data group: configuration data of VONR poor voice quality delay rule after deletion. Data attributes: VONR voice connection average delay, VONR initial registration average delay, VONR poor voice quality delay rule configuration, core network indicators poor quality factors (proportion of poor quality core network), individual user indicators poor quality factors (according to number of attempts), quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), the number of indicators participating in the judgment of poor-quality communities, the number of community users, the proportion of network element quality indicators, the average delay of VONR registration, and the third-party VONR Delay for successful registration. |
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 statistics (HBASE library). Sub-process description: read EPSFB call quality closed-loop data. Data movement type: R. Data group: EPSFB call quality closed-loop quality data. Data attributes: EPSFB call quality quality closed loop, index normal value (0 points), index deterioration value (0 points), index deterioration value (5 points), index normal value (2 points), index normal value (22 points), Index deterioration value (6 points). |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: P2P & group message warning data query. Functional process: P2P & group message early warning data list query. Sub-process description: Input P2P & group message warning data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data export. Functional process: 5G message user & terminal early warning 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: UP2.4 terminal P2P SMS prediction rule configuration data display. Functional process: UP2.4 terminal P2P SMS prediction rule configuration data display. Sub-process description: Input UP2.4 terminal P2P short message 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: 5G message quality perception analysis, 5G message quality terminal analysis. Trigger event: bad-quality terminal chatbot business data query. Functional process: Query the details of chatbot business data of poor-quality terminals. Sub-process description: Enter a request for querying the business data details of the poor-quality terminal 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 VONR user number analysis data table is generated. Functional process: 5G voice VONR user number analysis data table generation (GP service library). 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 failure times (called), cities, VoNR untriggered dedicated load establishment times (calling), VoNR dedicated load establishment failure times (calling), VONR active user number growth rate, 5G voice VONR Analysis of the number of users, and the number of times VoNR is set up (calling). |
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: export VONR connection quality closed-loop data. Data movement type: X. Data group: VONR connected quality closed-loop data. Data attributes: VoNR initial call (voice) connection rate, normal index 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: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: registration failure reason value data download. Functional process: download the registration failure reason value data. Sub-process description: Input the registration failure reason value data download request. 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. Triggering event: downloading of analysis data of call quality indicators for poor-quality terminals. Functional process: Download the analysis data of the poor quality terminal call quality index factors. Sub-process description: Read the analysis data of call quality index factors of poor-quality terminals. Data movement type: R. Data group: Analysis data of call quality indicators of poor quality terminals. Data attributes: proportion of poor quality indicators, city factors, terminal brand, VoNR (voice) uplink RTP packet loss rate, factor analysis of poor quality terminal call quality indicators, terminal model, VoNR (voice) drop rate, user factors, VoNR (Voice) Uplink Average MOS, Conclusion. |
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: Return 5G voice VONR call duration analysis data. Data movement type: X. Data group: 5G voice VONR call duration analysis and collection data. Data attributes: times of VoNR calls dropped to 4G network after connected, 5G voice VONR call duration analysis, times of VoNR calls dropped to 4G network after connected (called), total connection delay (VoNR), VoNR calls dropped to 4G after connected The number of normal releases (calling), the number of normal releases after the VoNR call is connected, the number of normal releases after the VoNR call is connected (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 forecasting of 5G message business demand, 5G message demand and forecasted city rankings and trends. Trigger event: UP2.4 terminal mass SMS number prediction data query. Functional process: UP2.4 query the details of the prediction data of the number of group text messages sent by the terminal. Description of the sub-process: Input the request for querying the details of the prediction data of the number of group text messages sent by UP2.4 terminals. 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: The analysis data of the poor quality network element is modified. Functional process: modify the analysis data of poor quality network elements. Sub-process description: Input a request for modifying analysis data of poor quality network elements. 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 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: Input EPSFB 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: 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: cell EPSFB delay data list query. Sub-process description: Output cell EPSFB delay data list query results. Data movement type: X. Data group: query result of cell EPSFB delay data list. Data attributes: EPSFB final call connection times, EPSFB initial call connection average delay, date, EPSFB final call drop average delay, cell EPSFB delay, EPSFB final call drop average delay, EPSFB drop average delay, EPSFB start The total number of calls back down, the number of successful EPSFB final call back down. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, analysis of key factors of poor quality terminal indicators. Trigger event: The core network quality is poor and the terminal information data is exported. Functional process: Export information and data of terminals with poor core network quality. Sub-process description: export the terminal information data with poor core network quality. Data movement type: X. Data group: information data of terminals with poor core network quality. Data attributes: 5GM02 interface file download success rate, 5GM02 interface file download average delay, core network quality terminal information, 5GM02 interface file upload average delay, http average response delay, UP2.4 terminal initial registration average delay, tac . |
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 generation of data table of poor quality indicators of file transfer class. Functional process: generation of poor quality index data table for file transfer (GP business library). Sub-process description: Timing triggers the generation task of the file transfer class poor quality indicator data table. Data movement type: E. Data group: system time. Data attribute: system time. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: The analysis data of the poor quality network element is modified. Functional process: modify the analysis data of poor quality network elements. Sub-process description: modify the analysis data of poor-quality network elements. Data movement type: W. Data group: analysis data of poor quality network elements to be modified. Data attributes: analysis of poor quality network elements, number of poor quality indicators, VoNR (voice) drop rate, EPSFB (RTP downlink MOS), VoNR (voice) downlink RTP packet loss rate, VoNR (voice) uplink average MOS, VoNR (voice) ) Uplink RTP packet loss rate, VoNR call fallback 4G network connection rate, EPSFB (RTP downlink packet loss rate), EPSFB call drop 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: read EPSFB voice index warning data. Data movement type: R. Data group: EPSFB voice indicators early warning data. Data attributes: EPSFB voice index warning, EPSFB registered user number, EPSFB voice call completion rate, EPSFB voice call duration, EPSFB voice fallback success rate, EPSFB voice fallback average delay, EPSFB voice call duration growth rate, EPSFB active user number. |
Customer needs: 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: The connection rule configuration data of poor VOLTE voice quality is added. Functional process: The configuration data of connection rules for VOLTE poor voice quality is added. Sub-process description: Read rule verification data of connection rule configuration data for poor voice quality of VOLTE. Data movement type: R. Data group: VOLTE poor voice quality connection rules configure data verification rules. Data attribute: VOLTE poor voice quality connection rule configuration data non-null check, data format check. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Triggering event: user-aware aggregation dimension data query. Functional process: user-perceived detailed query of aggregated dimension data. Sub-process description: Read user-perceived aggregation dimension detail data. Data movement type: R. Data group: user-perceived aggregation dimension detail data. Data attributes: TCP establishment success rate (core network), HTTP business success rate, TCP establishment success rate (wireless side), UP2.4 terminal user uplink message success rate to Chatbot, user uplink message average delay to Chatbot, date , the aggregation dimension of user perception, time period, and the message success rate of UP2.4 terminal Chatbot downlinking 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: 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: 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 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: Read the detailed data of 5G voice EPSFB user number prediction analysis. Data movement type: R. Data group: 5G voice EPSFB user number prediction analysis detailed data. Data attributes: n-the number of EPSFB active users in the peak hour of February, n-the number of EPSFB active users in the peak hour of January, n-the number of EPSFB active users in the peak hour of March, date, the number of EPSFB active users in the peak hour of this month, 5G voice EPSFB Forecast analysis of the number of users, the number of EPSFB active users in the peak hour of month n-5, the number of active EPSFB users in the peak hour of this month, the number of active EPSFB users in the peak hour of forecast n+2 months, the number of active EPSFB users in the peak hour of forecast n+3 months, n -Number of EPSFB active users at the peak hour in April. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality delay rule configuration data query. Function process: VONR poor voice quality delay rule configuration data list query. Sub-process description: Input VONR poor voice quality delay rule configuration data list query request. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 export template of the 5G message terminal number indicator. Data movement type: R. Data group: 5G message terminal number index export template. Data attribute: 5G message terminal number 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: 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 indicators analysis data statistics (HBASE library). Sub-process description: read statistical rules to perform statistical calculations on the analysis data of business development indicators. Data movement type: R. Data group: Statistical rules for business development indicators analysis data. 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: 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: download the detailed list data of 5G message group sending. Data movement type: W. 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: 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: initial registration detailed list data list query. Sub-process description: output the query result of the initial registration detailed list data list. Data movement type: X. Data group: the query result of the initial registration detailed list data list. Data attributes: UP2.4 terminal re-registration total delay, re-registration request times, re-registration success rate, UP2.4 terminal initial registration request times, initial registration details, initial registration success rate, user, UP2.4 terminal initial registration Success rate, the number of successful re-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: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: business development indicators analysis data collection. Functional process: business development indicators analysis data analysis. Sub-process description: save the analysis and analysis data of business development indicators to the GP database. Data movement type: W. Data group: analysis data of business development indicators. Data attributes: the total number of HTTP business requests, the total number of authentications initiated by the terminal to the storage server, the total delay of TCP establishment (wireless side), the number of successful TCP establishments (wireless side), the number of successful TCP establishments, the analysis of business development indicators, TCP Successful establishment times (core network), total TCP establishment delay (core network), TCP establishment request times, total TCP establishment delay, HTTP service success 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 forecasting of 5G message service demand, configuration of 5G message demand forecasting rules. Trigger event: UP2.4 terminal user number prediction rule configuration data is added. Function process: UP2.4 terminal user number prediction rule configuration data is added. Sub-process description: read rule verification UP2.4 terminal user number prediction rule configuration data. Data movement type: R. Data group: UP2.4 terminal user number prediction rules configuration data verification rules. Data attribute: UP2.4 terminal user number prediction rule configuration data non-null check, data format check. |
Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: Data query of poor quality indicators for business development. Functional process: Query the data list of poor quality indicators for business development. Sub-process description: Read the data list information of business development class poor quality indicators. Data movement type: R. Data group: data list information of poor quality indicators for business development. Data attributes: business development category poor quality indicators, total TCP establishment delay, total delay from successful TCP link establishment to the first transaction request, TCP establishment success rate, total TCP establishment delay (core network), average HTTP response delay , the total delay of the first TCP transaction response. |
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: output the list query results of 5G voice VOLTE user number analysis data list. Data movement type: X. Data group: 5G voice VOLTE user number analysis data list query results. Data attributes: cities, VOLTE re-registration success rate, VOLTE re-registration average delay, VOLTE registration success rate, VOLTE initial registration success rate, 5G voice VOLTE user number analysis, VOLTE final call voice response rate, 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: 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: update the analysis data of poor-quality network elements. Data movement type: W. Data group: newly added analysis data of poor quality network elements. Data attributes: prefecture, city, poor quality NE analysis, poor quality NE, VoNR (voice) downlink average MOS, VoNR (voice) uplink average MOS, initial registration success rate, EPSFB (RTP downlink packet loss rate), initial registration average delay. |
Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality analysis data export. Trigger event: Export of poor-quality NE analysis data. Functional process: export the analysis data of poor quality network elements. Sub-process description: Export the analysis data of poor-quality network elements. Data movement type: X. Data group: poor quality network element analysis data. Data attributes: VoNR (voice) uplink RTP packet loss rate, initial registration success rate, poor quality NE analysis, VoNR (voice) downlink average MOS, prefecture and city, VoNR call fallback 4G network completion rate, poor quality NE, EPS Fallback success rate, EPSFB call drop rate, percentage of poor quality indicators, and fallback 4G network success rate after VoNR calls are connected. |