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Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: Generation of poor-quality P2P service data tables. Functional process: Generation of poor-quality P2P business data tables (GP business library). Sub-process description: Read the verification rules to verify the poor-quality P2P business data. Data movement type: R. Data group: Poor quality P2P business data verification rules. Data attributes: cities, core network factors of poor p2p service quality, large (number of mode message sending (p2p)), large (mode message sending success times (p2p)), page (mode message sending average delay (p2p)), page (mode message sending times (p2p)), poor quality P2P business, page (mode message sending success times (p2p)), page (mode message sending success rate (p2p)), date, p2p business quality 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: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: The terminal rule configuration data of poor business development quality is added. Functional process: The terminal rule configuration data of poor business development quality is added. Sub-process description: update the terminal rule configuration data with poor service development quality. Data movement type: W. Data group: newly added terminal rule configuration data for poor business development quality. Data attributes: effective or not, proportion of cities with poor quality, terminal rule configuration with poor business development quality, http establishment success rate indicator threshold, rule name, number, and operator.

Customer needs: 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 download. Functional process: Download the initial registration details. Sub-process description: download the initial registration details. Data movement type: W. Data group: Initial registration detailed list data. Data attributes: total re-registration delay, UP2.4 terminal re-registration success times, terminal model, re-registration request times, initial registration request times, user, initial registration details, re-registration success times, city.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, 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: Export the monitoring data of mass sending indicators. Data movement type: X. 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: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VONR poor voice quality registration rule configuration data modification. Functional process: VONR poor voice quality registration rule configuration data modification. Sub-process description: Update the configuration data of VONR poor voice quality registration rules. Data movement type: W. Data group: the modified VONR poor voice quality registration rule configuration data. Data attributes: quality factors of prefecture-city indicators (proportion of poor-quality prefectures and cities), VoNR called initial registration success rate, number of indicators participating in the judgment of poor-quality communities, quality factors of core network indicators (proportion of poor-quality core networks), VONR poor voice quality registration rule configuration, network element poor quality index ratio, VoNR caller initial registration success rate, VoNR initial registration success rate.

Customer needs: 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: Read the configuration data of VONR voice quality delay rule. Data movement type: R. Data group: VONR poor voice quality delay rule configuration data. Data attributes: VONR 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 registration delay of VONR, 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 analysis of indicators. Trigger event: EPSFB network connection analysis data query. Functional process: EPSFB network connection analysis data list query. Sub-process description: read EPSFB network access analysis data list information. Data movement type: R. Data group: EPSFB network connection analysis data list information. Data attributes: index compliance rate, number of days of index deterioration, EPSFB network connection analysis, percentage of index deterioration period this month, EPSFB final call network connection rate, EPSFB initial call network connection rate, index normal days, deterioration index description.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: File transfer indicator monitoring rule configuration data modification. Functional process: File transfer indicator monitoring rule configuration data modification. Sub-process description: modify the configuration data of file transfer indicator monitoring rules. Data movement type: W. Data group: the configuration data of the file transfer indicator monitoring rule to be modified. Data attributes: threshold type, effective or not, indicator unit, dynamic threshold position, file transfer indicators, file transfer indicator monitoring rule configuration, 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: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data query. Function process: 5G voice VOLTE call duration analysis data details query. Sub-process description: Output the detailed query results of 5G voice VOLTE call duration analysis data. Data movement type: X. Data group: 5G voice VOLTE call duration analysis data detailed query results. Data attributes: VOLTE voice connection rate, 5G voice VOLTE call duration analysis, VOLTE initial registration average delay, VOLTE final call voice response rate, date, VOLTE initial call voice network completion rate, VOLTE initial registration success rate, VOLTE initial call Voice response rate, VOLTE re-registration success rate, VOLTE final call voice connection rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data is added. Functional process: P2P indicator monitoring rule configuration data is added. Sub-process description: Read rule verification P2P indicator monitoring rule configuration data. Data movement type: R. Data group: P2P indicator monitoring rules configure data verification rules. Data attributes: P2P indicator monitoring rule configuration data non-null check, data format check.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Triggering event: poor-quality bulk business data query. Functional process: Query the list of poor-quality mass-sending business data. Sub-process description: Input the query request for the list of poor-quality mass-sending business data. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: modification of the configuration data of the business development class poor quality rule. Functional process: modify the configuration data of business development class poor quality rules. Sub-process description: update the configuration data of business development class poor quality rules. Data movement type: W. Data group: the modified business development class poor quality rule configuration data. Data attributes: individual user index poor quality factors, TCP establishment success rate, HTTP establishment success rate, wireless index poor quality factors, rule name, business development category poor quality rule configuration, operator, number.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data statistics (HBASE library). Sub-process description: Input EPSFB fallback class quality closed-loop data statistics request. Data movement type: E. Data group: data statistics operation instructions. Data attributes: statistical date, statistical method, dimension.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message 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: Save the poor quality load index data table to the GP table library. Data movement type: W. Data group: data table of poor quality load indicators. 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: 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: 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, analysis of key factors of poor quality terminal indicators. Trigger event: Export of prefecture-level and poor-quality terminal indicator data. Functional process: Data export of prefecture-level and poor-quality terminal indicators. Sub-process description: Input the request for exporting city-level poor-quality terminal indicators. Data movement type: E. Data group: export operation instructions for prefecture-level and poor-quality terminal indicators. 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 cell analysis. Trigger event: Inquiry of latency index data of poor-quality cells. Functional process: Inquire about the details of the time delay index data of poor-quality cells. Sub-process description: output the detailed query results of the time delay index data of poor-quality cells. Data movement type: X. Data group: detailed query results of time-delay indicators for poor-quality cells. Data attributes: average voice connection delay for final calls, average re-registration delay, poor-quality cell delay indicators, average uplink voice delay (RTCP), average voice connection delay for initial calls, and average voice connection delay , Third-party registration success delay, cell, voice downlink average delay (RTCP).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data collection. Functional process: core network delay index data collection. Sub-process description: call the core network latency index data collection interface. Data movement type: X. Data group: core network latency index data collection interface. Data attribute: core network latency index 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: intelligent prediction of 5G messaging service requirements, early warning of 5G messaging performance indicators. Trigger event: 5G message user & terminal early warning data query. Functional process: query the details of 5G message user & terminal early warning data. Sub-process description: read 5G message user & terminal early warning details data. Data movement type: R. Data group: 5G message user & terminal early warning detailed data. Data attributes: UP2.4 terminal 5G message user growth rate, UP2.4 terminal Pager Mode message sending times (group sending), UP2.4 terminal 5G message terminal number, 5G message user growth rate, 5G message user & terminal warning, 5G message Number of terminals, Pager Mode message sending success rate (group sending), 5G message terminal growth rate.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB fallback class quality closed-loop data table is generated. Functional process: EPSFB fallback quality closed-loop data table generation (GP business library). Sub-process description: Trigger the EPSFB fallback quality closed-loop data table generation task at regular intervals. Data movement type: E. Data group: system time. Data attribute: system time.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Triggering event: The modification of the configuration data of the registered poor quality terminal rule. Functional process: modify the configuration data of the registration rules for terminals with poor quality. Sub-process description: Update the configuration data of the terminal rules with poor registration quality. Data movement type: W. Data group: the modified configuration data of the terminal rules with poor registration quality. Data attributes: re-registration success rate indicator threshold, poor quality city proportion, registration poor quality terminal rule configuration, whether it is effective, number, registration success rate indicator threshold, rule name, re-registration average delay indicator threshold, registration average delay Indicator threshold.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: The generation of data table of poor quality indicators of file transfer class. Functional process: Statistics of poor quality indicators for file transfers (HBASE library). Sub-process description: Input file transfer category poor quality indicator 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: VOLTE poor voice quality connection rule configuration data modification. Functional process: Modify the configuration data of connection rules for VOLTE poor voice quality. Sub-process description: Update the configuration data of connection rules for VOLTE poor voice quality. Data movement type: W. Data group: Modified VOLTE poor voice quality connection rule configuration data. Data attributes: proportion of poor terminal quality indicators, number of users in the community, 4G network connection rate of VOLTE call drop, VOLTE voice quality poor connection rule configuration, prefectural and city indicator quality factors (proportion of poor quality prefectures and cities), participation quality The number of indicators judged by poor cells, the proportion of poor quality indicators of network elements, the success rate of EPS fallback, and the factors of poor quality indicators of individual users (according to the number of attempts).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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: output Chatbot business indicator monitoring data details query results. Data movement type: X. Data group: Chatbot business indicator monitoring data details query results. Data attributes: total time delay of UP2.4 terminal users uplink messages to Chatbot, UP2.4 terminal user uplink message success times to Chatbot, proportion, Chatbot business indicator monitoring, UP2.4 terminal Chatbot downlink message success rate to users , the number of successful messages from Chatbot downlinked to users, the success rate of uplinked messages from UP2.4 end users to Chatbot, the total number of messages uplinked from UP2.4 end users to Chatbot, 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data modification. Functional process: Modify the configuration data of EPSFB poor voice quality connection rules. Sub-process description: modify the configuration data of EPSFB poor voice quality connection rules. Data movement type: W. Data group: EPSFB poor voice quality connection rule configuration data to be modified. Data attributes: EPSFB call fallback 4G network connection rate, number of users in the cell, EPSFB voice quality poor connection rule configuration, core network indicator quality factor (poor quality core network proportion), number of indicators participating in poor quality cell judgment, network The proportion of poor quality indicators in units, the proportion of poor quality indicators in residential areas, the quality factors of prefectural and city indicators (proportion of poor quality prefectures and cities), the proportion of poor quality indicators in terminals, and the success rate of 4G network drop after EPSFB calls are connected.

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: Query the overall VONR delay data of the cell. Functional process: Query the overall VONR delay data list of the cell. Sub-process description: Output the query result of the overall VONR delay data list of the cell. Data movement type: X. Data group: the query result of the overall VONR delay data list of the cell. Data attributes: total called response delay (VoNR), overall cell VONR delay, date, connection delay (VoNR), total connection delay (VoNR), total wireless delay (VoNR), total called response delay Latency measurement times (VoNR).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 details query. Sub-process description: Output message sending and receiving analysis (P2P) data details query results. Data movement type: X. Data group: query results of message sending and receiving analysis (P2P) data details. Data attributes: Large Mode message receiving success times (P2P), Large Mode message sending success times (P2P), Large Mode MRSP message receiving delay (P2P), Large Mode message receiving delay (P2P), Large Mode MRSP message sending total Latency (P2P), Pager Mode message receiving success times (P2P), Pager Mode message sending success times (P2P), Large Mode MRSP message sending success times (P2P), message sending and receiving analysis (P2P), Large Mode MRSP message receiving success Times (P2P).

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: The core network latency index data table is generated. Functional process: Generation of core network delay index data table (GP service library). Sub-process description: generate the core network delay index data table. Data movement type: W. Data group: core network latency index data table. Data attributes: 5G core network total delay 1 measurement times (VNR2VNR), core network delay index, 5G core network total delay 1 (VoNR), 5G core network delay 2 (VNR2VNR), 5G core network total delay 1 (VNR2VNR), 5G core network total delay 2 (VNR2VNR), 5G core network delay 1 (VNR2VNR), 5G core network total delay 2 (VoNR), 5G core network total delay 2 measurement times (VNR2VNR).

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message indicator system. Trigger event: uploading of registration indicator analysis data. Functional process: upload registration index analysis data. Sub-process description: Input the request for uploading registration index analysis data. Data movement type: E. Data group: upload operation instruction. Data attributes: upload time, upload address.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, early warning of 5G voice indicators. Trigger event: VONR voice indicators early warning data query. Functional process: VONR voice index warning data list query. Sub-process description: Input the VONR voice index early warning data list query request. Data movement type: E. Data group: list query operation instructions. 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, 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: Enter the query request for the detailed data list of 5G message group sending. 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: P2P & mass message early warning data table generation. Functional process: P2P & group message early warning data table generation (GP business library). Sub-process description: read P2P & group message warning data. Data movement type: R. Data group: P2P & group message early warning data. Data attribute: P2P message terminal number load warning threshold, current UP2.4 terminal P2P message number, P2P message number growth rate, P2P message terminal number growth rate, current P2P message number, P2P message number load warning threshold, P2P message number growth rate , the current number of P2P terminals, the current number of UP2.4 terminal P2P messages, the number of P2P messages UP2.4 terminals, P2P & group message warning.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality registration rule configuration data is added. Functional process: The EPSFB poor voice quality registration rule configuration data is added. Sub-process description: read the EPSFB poor voice quality registration rule configuration data. Data movement type: R. Data group: EPSFB poor voice quality registration rule configuration data. Data attributes: EPSFB called initial registration success rate, number of indicators participating in poor quality cell judgment, proportion of poor quality indicators in the community, proportion of poor quality indicators in network elements, number of users in the community, EPSFB poor voice quality registration rule configuration, core Network indicators poor quality factors (proportion of poor quality core network), EPSFB initial registration success rate.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: EPSFB poor voice quality connection rule configuration data is deleted. Functional process: EPSFB poor voice quality connection rule configuration data is deleted. Sub-process description: Input the EPSFB poor voice quality connection rule configuration data deletion request. Data movement type: E. Data group: delete operation instruction. Data attributes: delete person, delete time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency index data query. Functional process: Query the details of core network latency index data. Sub-process description: Read the detailed data of the core network delay index. Data movement type: R. Data group: detailed data of core network latency indicators. Data attribute: 5G core network total delay 2 measurement times (VoNR), 5G core network total delay 2 (VoNR), 5G core network total delay 1 (VNR2VNR), 5G core network delay 2 (VNR2VNR), 5G core Total network delay 2 measurement times (VNR2VNR), core network delay index, 5G core network delay 1 (VoNR), 5G core network total delay 1 measurement times (VoNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VONR user number analysis data collection. Functional process: 5G voice VONR user number analysis data collection. Sub-process description: Read the account information of the 5G voice VONR user number analysis data server. Data movement type: R. Data group: 5G voice VONR user number analysis data server account information. Data attributes: 5G voice VONR 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: 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: Read the verification rules to verify the registration index analysis data. Data movement type: R. Data group: registration index analysis data verification rules. Data attributes: UP2.4 terminal re-registration success times, initial registration delay, UP2.4 terminal initial registration success times, registration index analysis, re-registration total delay, UP2.4 terminal re-registration request times, UP2.4 The total initial registration delay of the terminal and the number of successful initial registrations.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: EPSFB voice service quality monitoring indicator data export. Functional process: EPSFB voice service quality monitoring index data export. Sub-process description: Export EPSFB voice service quality monitoring index data. Data movement type: X. Data group: EPSFB voice service quality monitoring index data. Data attributes: EPSFB voice service quality monitoring index, EPSFB initial call voice network connection rate, prefecture, city, EPSFB voice average delay, EPSFB final call voice response rate, date, EPSFB voice connection rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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: Input the new request of UP2.4 terminal user number prediction rule configuration data. Data movement type: E. Data group: add operation instructions. Data attribute: add person, add time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: Registration latency indicator data export. Functional process: Export registration delay indicator data. Sub-process description: Input the registration delay index export request. Data movement type: E. Data group: registration delay 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: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: modification of the configuration data of the business development class poor quality rule. Functional process: modify the configuration data of business development class poor quality rules. Sub-process description: read the configuration data of business development class poor quality rules. Data movement type: R. Data group: configuration data of poor quality rules for business development. Data attributes: individual user index poor quality factors, TCP establishment success rate, HTTP establishment success rate, wireless index poor quality factors, rule name, business development category poor quality rule configuration, 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 network element analysis. Trigger event: export of poor-quality NE registration index data. Functional process: Export the registration index data of poor quality network elements. Sub-process description: Input a request for exporting registration indicators of poor quality network elements. Data movement type: E. Data group: operation instructions for exporting registration indicators of poor-quality network elements. Data attributes: data time, city, equipment manufacturer.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice EPSFB user number analysis data table is generated. Functional process: 5G voice EPSFB user number analysis data table generation (GP service library). Sub-process description: generate 5G voice EPSFB user number analysis data table. Data movement type: W. Data group: 5G voice EPSFB user number analysis data table. 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: 5G poor voice quality perception analysis, 5G poor voice quality rule configuration. Trigger event: The configuration data of the VONR poor voice quality delay rule is added. Function process: The configuration data of delay rule for poor voice quality of VONR is added. Sub-process description: Read rule verification VONR poor voice quality delay rule configuration data. Data movement type: R. Data group: VONR poor voice quality delay rule configuration data verification rule. Data attribute: VONR poor voice quality delay 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 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: Return the new result of the configuration data of the 5G message user number demand prediction rule. Data movement type: X. Data group: The newly added results of the configuration data of the 5G message user number demand prediction rule. 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: multi-dimensional cluster analysis of 5G message service indicators, drill-down of 5G message indicators. Trigger event: 5G message group sending detailed list data query. Functional process: 5G message group sending detailed list data detailed query. Sub-process description: Output 5G message group sending detailed order data detailed query results. Data movement type: X. Data group: 5G message group sending detailed list data detailed query results. Data attributes: cities, 5G message group sending details, date, UP2.4 terminal Large Mode message receiving delay (group sending), Large Mode MRSP message sending total delay (group sending), UP2.4 terminal Pager Mode message receiving success rate (group sending), Pager Mode message receiving delay (group sending), Pager Mode message receiving success rate (group sending).

Customer needs: 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: Input a request for querying the details of connection 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: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: EPSFB voice service quality monitoring indicator data display. Functional process: EPSFB voice service quality monitoring indicator data display. Sub-process description: Input the EPSFB voice service quality monitoring indicator display request. Data movement type: E. Data group: display operation instructions. Data attributes: request time, requester, request type.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice service quality closed-loop management, voice service quality monitoring closed-loop presentation. Trigger event: VOLTE voice service quality monitoring indicator data query. Functional process: Query the details of VOLTE voice service quality monitoring indicator data. Sub-process description: Input the query request for VOLTE voice service quality monitoring indicator data 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: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VONR voice demand forecast configuration data deletion. Functional process: VONR voice demand forecast configuration data deletion. Sub-process description: input VONR voice demand forecast configuration data deletion request. Data movement type: E. Data group: delete operation instruction. Data attributes: delete person, delete 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 requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VONR call duration analysis data query. Function process: 5G voice VONR call duration analysis data details query. Sub-process description: Input 5G voice VONR call duration analysis data details query request. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data collection. Functional process: 5G voice EPSFB call duration analysis data conversion interface. Sub-process description: read 5G voice EPSFB call duration analysis data conversion rules. Data movement type: R. Data group: 5G voice EPSFB call duration analysis data conversion rules. Data attributes: 5G voice EPSFB call duration analysis, EPSFB total connection delay measurement times (5T5), EPSFB total call connection delay (redirection mode), EPSFB total connection delay (5T4), EPSFB call duration growth rate , EPSFB connection total delay measurement times (5T4), EPSFB caller voice call times, EPSFB call connection total delay measurement times (redirection mode), date.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data collection. Functional process: 5G voice EPSFB call duration analysis data collection. Sub-process description: Save the 5G voice EPSFB call duration analysis and collection data. Data movement type: W. Data group: 5G voice EPSFB call duration analysis data. Data attributes: EPSFB total call connection delay measurement times (redirection method), EPSFB call connection total delay (redirection method), EPSFB voice call times, EPSFB total connection delay (5T5), date, 5G voice EPSFB call duration analysis, EPSFB total connection delay (5T4), EPSFB call connection total delay (switching mode), EPSFB call drop rate growth rate, EPSFB called voice call times, EPSFB call connection total delay measurement times (toggle mode).

Customer needs: 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 file transfer business data. Functional process: export of poor quality file transfer business data. Sub-process description: Input the export request of the poor-quality file transfer service. Data movement type: E. Data group: Export operation instructions for poor quality file transfer services. 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 analysis of indicators. Trigger event: VONR indicator closed-loop analysis data query. Functional process: Query the details of VONR indicator closed-loop analysis data. Sub-process description: Enter the detailed query request for VONR indicator closed-loop analysis data. Data movement type: E. Data group: query operation instructions for details. Data attributes: operation time, operator, operation type.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service 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 talk time analysis abnormal data processing. Data movement type: W. Data group: 5G voice VONR call duration analysis data after exception processing. 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 news indicators, city ranking and trend analysis. Trigger event: Export of business indicators, city trend analysis data. Functional process: Export of business indicators, city trend analysis data. Sub-process description: Read the template for exporting the trend analysis of business indicators. Data movement type: R. Data group: export template for business indicator city trend analysis. Data attribute: export template for business indicator prefecture and 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 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: read the configuration data of VOLTE voice quality delay rule. Data movement type: R. Data group: VOLTE poor 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: 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: Read the list information of the factor analysis data list of the poor quality terminal registration indicators. Data movement type: R. Data group: list information of data list information for factor analysis of poor quality terminal registration indicators. Data attributes: core network factors, conclusions, calling initial registration success rate, number of poor quality indicators, city factors, called initial registration success rate, proportion of poor quality indicators, terminal model, factor analysis of poor quality terminal registration indicators, wireless net factor.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice EPSFB call duration analysis data table is generated. Functional process: 5G voice EPSFB call duration analysis data statistics (HBASE library). Sub-process description: Read the statistical rules and perform statistical calculations on the 5G voice EPSFB call duration analysis data. Data movement type: R. Data group: Statistical rules for 5G voice EPSFB call duration analysis data. Data attributes: summary conditions, summary dimensions.

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 cell analysis data. Functional process: export of poor quality cell analysis data. Sub-process description: read the export template of poor quality cell analysis. Data movement type: R. Data group: analysis and export template of poor quality plots. Data attribute: poor quality cell analysis export template.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, configuration of indicator monitoring rules. Trigger event: P2P indicator monitoring rule configuration data is added. Functional process: P2P indicator monitoring rule configuration data is added. Sub-process description: Input the new request for P2P indicator monitoring 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: 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: return the export result. Data movement type: X. Dataset: Export results. Data attributes: export start time, end time, success or not.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business index cause value data table generation. Functional process: Chatbot business indicator cause value data statistics (HBASE library). Sub-process description: read statistical rules to perform statistical calculations on the cause value data of Chatbot business indicators. Data movement type: R. Data group: Chatbot business indicator cause value data statistical rules. Data attributes: summary conditions, summary dimensions.

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 modification. Functional process: Modify the configuration data of connection rules for VOLTE poor voice quality. Sub-process description: modify the configuration data of connection rules for poor voice quality of VOLTE. Data movement type: W. Data group: configuration data of VOLTE poor voice quality connection rules to be modified. Data attributes: proportion of poor terminal quality indicators, number of users in the community, 4G network connection rate of VOLTE call drop, VOLTE voice quality poor connection rule configuration, prefectural and city indicator quality factors (proportion of poor quality prefectures and cities), participation quality The number of indicators judged by poor cells, the proportion of poor quality indicators of network elements, the success rate of EPS fallback, and the factors of poor quality indicators of individual users (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 VONR user number prediction analysis data export. Functional process: 5G voice VONR user number prediction analysis data export. Sub-process description: Read the export template for 5G voice VONR user number prediction analysis. Data movement type: R. Data group: 5G voice VONR user number prediction analysis export template. Data attribute: 5G voice VONR user number prediction 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: 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 processing of poor-quality file transfer business. Data movement type: W. Data group: poor-quality file transfer business data after exception processing. Data attributes: 5GM02 interface file upload success times, poor quality file transfer business, city, file transfer quality conclusion, file transfer quality core network factor, file transfer quality city factor, 5GM02 interface file download times, 5GM02 interface file The number of successful downloads, and the average download delay of 5GM02 interface files.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: core network latency indicator data upload. Functional process: core network latency index data upload. Sub-process description: return the upload result. Data movement type: X. Data group: upload results of core network latency index data. Data attributes: whether the upload is successful, upload address.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business analysis. Trigger event: poor quality file transfer business data query. Functional process: Query the details of poor-quality file transfer business data. Sub-process description: read the business details data of poor-quality file transfer. Data movement type: R. Data group: detailed data of poor quality file transfer business. Data attributes: 5GM02 interface file download times, 5GM02 interface file upload success rate, 5GM02 interface file download average delay, poor file transfer quality conclusion, 5GM02 interface file download success rate, 5GM02 interface file upload average delay, poor quality file transfer business , core network factors of poor file transfer quality, prefecture and city, prefecture and city factors of poor file transfer quality, times of successful file uploads on the 5GM02 interface.

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 query. Functional process: VONR registered quality closed-loop data list query. Sub-process description: Enter the query request for the VONR registration quality closed-loop data list. Data movement type: E. Data group: list query operation instruction. Data attributes: operation time, operation type.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data query of key factors of P2P poor quality business. Functional process: query the data list of key factors of P2P poor quality business. Sub-process description: Output the data list query results of key factors of P2P poor quality business. Data movement type: X. Data group: query result of data list of key factors of P2P poor quality business. Data attributes: Number of times Pager Mode messages are successfully received (P2P), percentage of poor quality factors, key factors of P2P poor quality business, wireless index quality factors, core network index quality factors, Large Mode MRSP message reception success times (P2P), In Large Mode, the total delay in message sending (P2P), and the user index is the factor of poor quality.

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

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality terminal analysis. Trigger event: query of data analysis data of poor-quality terminal registration indicator factors. Functional process: Query the details of the factor analysis data of poor quality terminal registration indicators. Sub-process description: Output the detailed query results of the terminal registration indicator factor analysis data of poor quality. Data movement type: X. Data group: detailed query results of the factor analysis data of poor quality terminal registration indicators. Data attributes: number of poor quality indicators, terminal brand, proportion of poor quality indicators, prefectural and city factors, terminal model, factor analysis of poor quality terminal registration indicators, wireless network factors, initial caller 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, 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: 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 requirements, analysis and prediction of 5G call duration. Trigger event: 5G voice VOLTE call duration analysis data query. Function process: 5G voice VOLTE call duration analysis data details query. Sub-process description: Enter a query request for details of 5G voice VOLTE call duration 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 service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: EPSFB voice demand forecast configuration data deletion. Functional process: EPSFB voice demand forecast configuration data deletion. Sub-process description: Input the EPSFB voice demand forecast configuration data deletion request. Data movement type: E. Data group: delete operation instruction. Data attributes: delete person, delete time.

Customer needs: business analysis for special applications. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: closed-loop management of 5G voice service quality, closed-loop summary of service quality. Trigger event: EPSFB call quality closed-loop data export. Functional process: EPSFB call quality quality closed-loop data export. Sub-process description: Export EPSFB call quality closed-loop quality data. Data movement type: X. Data group: EPSFB call quality closed-loop quality data. Data attributes: index normal value (21 points), EPSFB call quality closed-loop quality, index normal value (11 points), index normal value (1 point), index normal value (15 points), index deterioration value (7 points), Index degradation value (1 point).

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, analysis of key factors of poor quality business indicators. Trigger event: data export of chatbot's poor quality business key factors. Functional process: Data export of chatbot's poor quality business key factors. Sub-process description: Read the data of key factors of chatbot poor quality business. Data movement type: R. Data group: data of key factors of chatbot poor quality business. Data attributes: key factors of chatbot poor quality business, number of successful chatbot downlink messages to users, user indicator quality factor, wireless indicator quality factor, total time delay of user uplink messages to Chatbot, number of user uplink message success times to Chatbot, The number of successful downlink messages from UP2.4 terminal Chatbot to users, the proportion of poor quality factors, and the total delay of downlink messages from UP2.4 terminal 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: 5G voice service demand intelligent forecasting, 5G voice demand forecasting rule configuration. Trigger event: VOLTE voice demand forecast configuration data is added. Function process: VOLTE voice demand forecast configuration data is added. 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 voice demand forecast configuration, VOLTE voice downlink RTP packet loss rate poor quality threshold, VOLTE third-party registration success rate poor quality threshold, VOLTE user voice response rate poor quality threshold, VOLTE initial call voice response rate poor quality threshold, VOLTE Voice uplink RTP packet loss rate poor quality threshold, VOLTE voice connection rate poor quality threshold, VOLTE registration success rate poor quality threshold, VOLTE network voice connection rate poor quality threshold.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, multi-dimensional aggregation of indicators. Trigger event: Chatbot class aggregation indicator data query. Functional process: Chatbot-like aggregation indicator data details query. Sub-process description: Read the detailed data of Chatbot class aggregation indicators. Data movement type: R. Data group: Chatbot class aggregation indicator detailed data. Data attributes: Chatbot aggregation indicators, the total number of messages uploaded by users to Chatbot, the total number of messages uploaded by UP2.4 terminal users to Chatbot, the total time delay of messages downloaded from Chatbot to users, the number of successful messages uploaded by users to Chatbot, and the number of messages uploaded by users to Chatbot. The total number of downlink messages to users, the number of successful uplink messages from UP2.4 terminal users to Chatbot, the total delay of downlink messages from UP2.4 terminal Chatbot to users, and the total delay of uplink messages from users to Chatbot.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent 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 the configuration data of P2P short message number demand prediction rules. Data movement type: R. Data group: configuration data of P2P SMS demand forecasting rules. Data attribute: growth rate of P2P messages in n+9 months, growth rate of P2P messages in n+5 months, growth rate of P2P messages in n+6 months, growth rate of P2P messages in n+8 months, and P2P messages in n+7 months Growth rate, growth rate of P2P messages in month n+1, P2P SMS demand forecast rule configuration, number of P2P messages in this month, growth rate of P2P messages in month n+2, growth rate of P2P messages in n+4 months.

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

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message quality perception analysis, poor quality terminal rule configuration. Trigger event: export of chatbot terminal rule configuration data with poor quality. Functional process: Chatbot poor quality terminal rule configuration data export. Sub-process description: read chatbot poor quality terminal rule configuration data. Data movement type: R. Data group: chatbot poor quality terminal rule configuration data. Data attributes: rule name, user uplink to chatbot establishment success rate index threshold, operator, unit, whether it takes effect, proportion of poor quality cities, chatbot downlink to user establishment average delay index threshold, number, chatbot poor quality terminal rule configuration , chatbot downlink to user establishment success rate index threshold, user uplink to chatbot establishment average delay index threshold.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, 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: Save the 5G voice VONR user number analysis data table to the GP table library. Data movement type: W. Data group: 5G voice VONR user number analysis data table. 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: intelligent analysis of VONR calling delay, segmentation analysis of VoNR calling delay. Trigger event: generation of on-delay index data table. Functional process: generation of connection delay index data table (GP business library). Sub-process description: read the on-delay index data. Data movement type: R. Data group: on-delay index data. Data attributes: wireless delay (VoNR), total wireless delay (VNR2VNR), wireless delay (VNR2VNR), connection delay (VoNR), total connection delay measurement times (VNR2VNR), connection delay index, Total connection delay (VoNR), total connection delay measurement times (VoNR), connection delay (VNR2VNR), wireless total delay measurement times (VNR2VNR).

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent prediction of 5G voice service demand, analysis and forecast of 5G voice user numbers. Trigger event: 5G voice VOLTE user number analysis data export. Functional process: 5G voice VOLTE user number analysis data export. Sub-process description: export 5G voice VOLTE user number analysis data. Data movement type: X. Data group: 5G voice VOLTE user number analysis data. Data attributes: VOLTE initial call voice network connection rate, VOLTE initial call voice connection average delay, VOLTE voice connection rate, VOLTE initial call voice connection rate, VOLTE initial call voice response rate, 5G voice VOLTE user number analysis, VOLTE registration average delay, date, VOLTE registration success rate, VOLTE final call voice network completion rate.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G message poor quality perception analysis, poor quality business rule configuration. Trigger event: Display of configuration data for poor quality rules of file transfer. Functional process: configuration data display of poor quality rules for file transfers. Sub-process description: read the configuration data of the poor quality rule of the file transfer class. Data movement type: R. Data group: configuration data for file transfer class poor quality rules. Data attributes: individual user index quality factors, effective or not, prefecture-city index quality factors, file transfer quality quality rule configuration, core network index quality factors, rule name, file upload success rate, number, operator.

Customer needs: 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 export. Functional process: P2P poor quality rule configuration data export. Sub-process description: read P2P poor quality rule configuration export template. Data movement type: R. Data group: P2P poor quality rule configuration export template. Data attribute: P2P poor quality rule configuration export template.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 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 export. Functional process: 5G voice VONR user number prediction analysis data export. Sub-process description: export 5G voice VONR user number prediction and analysis data. Data movement type: X. Data group: 5G voice VONR user number prediction and analysis data. Data attributes: number of VoNR active users in peak hour of month n-February, predicted number of VoNR registered users in peak hour of month n+2, number of active VoNR users in peak hour of month n-April, prediction and analysis of 5G voice VONR user numbers, peak value in month n-April The number of VoNR registered users per hour, the number of VoNR registered users at peak hour in forecast n+3 month, the number of VoNR active users at peak hour this month, date.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: Intelligent monitoring of 5G message indicators, multi-dimensional aggregation and presentation. Trigger event: Export of prefecture-city registration aggregation dimension data. Functional process: Export of prefecture-city registration aggregation dimension data. Sub-process description: Read prefecture-city registration aggregation dimension data. Data movement type: R. Data group: Aggregate dimension data of prefecture-city registration. Data attributes: Large Mode message receiving success rate (group sending), Large Mode message receiving success rate (P2P), prefecture and city registration aggregation dimension, re-registration success rate, Large Mode message sending success rate (group sending), prefecture and city, cancellation success rate , time period.

Customer needs: 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 display. Functional process: 5G messaging user number demand forecasting rule configuration data display. 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: index forecast historical data months, 5G message user number demand forecast rule configuration, n+8 month 5G message user growth rate, n+5 month 5G message user number growth rate, n+4 month 5G message user number growth Rate, the growth rate of the number of 5G message users in n+3 months, whether it is effective, the growth rate of the number of 5G message users in n+9 months.

Customer needs: 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 export. Functional process: P2P poor quality terminal 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: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: multi-dimensional cluster analysis of 5G message service indicators, 5G message quality indicators and trends. Trigger event: export of file transfer quality indicator data. Functional process: file transfer class poor quality indicator data export. Sub-process description: read the file transfer class poor quality indicator export template. Data movement type: R. Data group: export template for poor quality indicators of file transfer class. Data attribute: Export template of poor quality indicators of file transfer class.

Customer needs: end-to-end analysis of VONR and VOLTE services. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: 5G voice quality perception analysis, poor quality cell analysis. Trigger event: downloading of registration index data for poor-quality communities. Functional process: Download the registration index data of poor-quality communities. Sub-process description: read the registration index data of poor-quality communities. Data movement type: R. Data group: registration index data of poor-quality communities. Data attributes: caller's initial registration success rate, cell, initial registration average delay, poor quality cell registration indicators, calling caller's initial registration success rate, initial registration success rate, called initial registration average delay, poor quality index accounted for Ratio, prefecture, and called initial registration success rate.

Customer needs: 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 is added. Function process: VOLTE voice demand forecast configuration data is added. Sub-process description: update VOLTE voice demand forecast configuration data. Data movement type: W. Data group: newly added VOLTE voice demand forecast configuration data. Data attributes: VOLTE voice demand forecast configuration, VOLTE voice downlink RTP packet loss rate poor quality threshold, VOLTE third-party registration success rate poor quality threshold, VOLTE user voice response rate poor quality threshold, VOLTE initial call voice response rate poor quality threshold, VOLTE Voice uplink RTP packet loss rate poor quality threshold, VOLTE voice connection rate poor quality threshold, VOLTE registration success rate poor quality threshold, VOLTE network voice connection 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 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: Save the download data of the time-delay indicators of poor-quality cells. Data movement type: W. Data group: download data of time-delay indicators for poor-quality cells. Data attributes: average voice delay (RTCP), poor-quality cell delay indicators, average voice delay (V2V (RTCP)), average initial registration delay, average voice connection delay, average registration delay, final call Average video connection delay.

Customer needs: Improve user perception portraits. Functional user: the initiator is the user, and the receiver is the mobile network quality analysis system. Functional user requirements: intelligent monitoring of 5G message indicators, analysis of indicator cause values. Trigger event: Chatbot business index cause value data table generation. Functional process: Chatbot business indicator cause value data statistics (HBASE library). Sub-process description: read the reason value data of Chatbot business indicators. Data movement type: R. Data group: Chatbot business indicator cause value data. Data attributes: indicator name, reason value, first demolition SIP status code, MSRP (REPORT (Req (Status (Code)))), Chatbot business indicator cause value, first demolition reason, indicator value, process failure reason.