A smart reporting system and method for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings.

Abstract

This invention belongs to the field of power system customer service automation and artificial intelligence application technology. It discloses an intelligent reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings. The system is characterized by comprising: 1) a real-time meteorological early warning capture module; 2) an early warning compliance judgment module; 3) an automatic generation module for reporting time periods; 4) an intelligent matching module for reporting scope, with a built-in scope rule engine constructed based on the "Notes on the Review of Reporting of Category III Severe Weather"; 5) an automatic filling module for reporting materials; 6) an automatic uploading module for multiple attachments; 7) a human-computer interaction and reverse verification module; and 8) a data closed-loop and rule optimization module. This system can solve the problems of poor timeliness, error-proneness, and lack of automated closed-loop management caused by the reliance on manual operation for reporting Category III severe weather in existing technologies.

Description

Technical Field

[0001] This invention belongs to the field of automation and artificial intelligence application technology for power system customer service. Specifically, it relates to an intelligent reporting assistant and method applied to the State Grid 95598 business support system, which is used to realize real-time capture of the third type of severe weather warning information, automatic triggering of the reporting function, automatic generation of reporting time period, intelligent matching of reporting scope, automatic generation of reporting materials and one-click compliance submission. Background Technology

[0002] As the power system's requirements for power supply reliability and customer service quality continue to increase, the State Grid Corporation of China has clarified the reporting and management standards for important service items through the 95598 hotline. By proactively reporting weather impacts and grid conditions, service risks are managed in advance, resource allocation is optimized, customer service can achieve "second-level response," and frontline pressure is alleviated.

[0003] In existing technologies, the entire process of reporting severe weather relies on manual processing: after regularly refreshing the meteorological bureau's official website or following the meteorological warning WeChat official account to obtain the warning information, one must manually log in to the reporting system and, in accordance with the "State Grid Corporation of China 95598 Important Service Item Reporting Management Specifications" and the "Third Category Severe Weather Reporting Review Notes", manually determine the reporting scope, calculate the application time limit, write the event process, select the complaint sub-category and business sub-category, fill in the unified response standard, and upload the meteorological warning screenshot and related attachments.

[0004] However, the above-mentioned manual operation mode has the following shortcomings in practical applications: First, manual monitoring is not timely. Weather warnings are often issued in the early morning, on holidays, or when severe weather occurs. On-duty personnel may not be able to detect and handle them in time, resulting in delayed reporting, missing the best reporting window, and affecting the reduction of subsequent work orders and explanations to customers.

[0005] Secondly, the process is cumbersome and prone to errors. Although the reporting template is relatively fixed, it requires manual judgment and filling based on the warning type (such as yellow for thunderstorms, orange for heavy rain, etc.) and the scope description in the warning text (such as "most", "partial", "eastern", etc.). In particular, for the word "partial", it is necessary to eliminate ambiguous rules for certain areas, relying on personal experience and familiarity with the jurisdiction. It is very easy to cause problems such as incorrect reporting scope, inaccurate time limit calculation, and omission of sub-category selection due to fatigue and negligence.

[0006] Third, there is a lack of proactive monitoring and closed-loop management. The existing system lacks the ability to automatically monitor weather warnings, and it is also unable to automatically track the actual impact of the warnings and the time when the warnings are taken offline after they are reported. On-duty personnel need to repeatedly log into the system to check the reporting status, making it impossible to achieve full automation and intelligence of the "trigger-generation-approval-use-retirement" process.

[0007] Fourth, the review process requires the generation of specific attachments, which is difficult. The regulations require that for reports of ambiguous areas (such as "eastern region"), a map attachment must be provided, and for reports of "partial" areas, a detailed list of the area must be provided to support the rationality of the exclusion. Manually creating these attachments is time-consuming, labor-intensive, and prone to non-compliance.

[0008] While existing technologies offer intelligent solutions for power grid risk visualization, distribution network fault repair decision-making, and emergency resource allocation (such as CN120725463A, CN121092877A, and CN121745543A), their technological focus is on fault location, disaster loss assessment, or resource scheduling, without addressing the automation of reporting processes based on internal business specifications (such as the "95598 Important Service Item Reporting Management Specification") in the power supply service field. In particular, existing technologies do not provide solutions for the deep integration of business rules such as "local area exclusion," "geographical range mapping," "automatic generation of specific attachments (regional detail tables, delineated maps)," and "closed-loop rule optimization." Summary of the Invention

[0009] The purpose of this invention is to provide an intelligent reporting system and method for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings. This system aims to solve the problems of poor timeliness, error-proneness, and lack of automated closed-loop management caused by the reliance on manual operation for reporting Class III severe weather in the prior art. In particular, it addresses the business rules of vague descriptions such as "local", "partial", and "eastern / western / surrounding areas" in the "Review Notes on Reporting Class III Severe Weather", and realizes rule engineization, automated attachment generation, and intelligent closed-loop optimization.

[0010] To achieve the above objectives, the present invention provides the following technical solution: an intelligent reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings, characterized in that it includes: 1) The real-time meteorological warning capture module connects to multiple release channels such as the official website of the meteorological bureau, the 12379 national early warning information release mini-program, and the Hubei early warning release WeChat official account. It crawls the warning title, issuing unit, release time, warning level, affected area, impact description and duration in real time through RPA or API interface, and automatically completes compliant screenshot archiving. 2) The early warning compliance judgment module has built-in rules in the appendix of the "95598 Important Service Item Reporting Management Specification" to build a mapping relationship table of early warning type, early warning level, reporting application level and application time limit, and automatically determine the reporting level and time limit parameters corresponding to the current early warning. 3) Automatic generation module for reporting time period: captures the warning release time, automatically calculates the event occurrence time and impact end time based on the mapping relationship table, and provides confirmation or manual fine-tuning in the form of a pop-up window; 4) Intelligent matching module for reporting scope, with a built-in scope rule engine based on the "Notes on the Review and Approval of Reports for Category III Severe Weather", specifically including: ①. "Major" processing rule: After being triggered, it automatically matches the entire county / district, without needing to exclude townships; ②. "Partial / Local" processing rules: After triggering, retrieve the historical database of power outage frequency / fault count for each township in the past two months, sort them from high to low frequency to generate a smart exclusion recommendation list, and mark the township at the top of the list as the recommended exclusion value, with a pop-up window for confirmation; at the same time, automatically generate a detailed regional table containing power outage data for each candidate township as a filing attachment to prove the rationality of the exclusion. ③. "East / West / Surrounding Areas" processing rules: After triggering, the pre-configured geographic range mapping file is called. This file defines the mapping relationship between directional descriptors (such as "East of Tongcheng County") and a list of specific towns (such as Junshui Town, Maishi Town, etc.). The affected town range is automatically parsed and delineated. At the same time, based on the mapping results, the GIS interface is called to automatically draw and upload the delineated map attachment to meet the visualization requirements of the review. 5) Automatic material filling module for reporting: It has built-in standard templates that meet the specifications. The module fills in variables such as warning time, area and level into the template and automatically generates event title, event process, work suggestions and unified response. It also automatically selects the sub-category of complaints that affect the event (power outage complaints - emergency repair service - time limit, frequent power outages, abnormal voltage quality, etc.). 6) Automatic upload module with multiple attachments: This module is used to automatically upload captured weather warning screenshots. For reporting scenarios that require uploading a map of a defined area, it automatically generates a list of corresponding townships and calls GIS services to automatically delineate the map area as an attachment. For "partial" reporting, it automatically uploads the detailed list of areas generated during the intelligent exclusion process as an attachment. 7) Human-computer interaction and reverse verification module, providing a preview interface, allowing modification of time period, scope, text, and attachments; built-in compliance verification rules, highlighting in red when the warning level, time limit, scope, or subclass does not match; after confirmation, one-click submission to the 95598 business support system; 8) Data closed-loop and rule optimization module: continuously monitor the approval status of the reporting process (qualified, unqualified, offline, etc.) and automatically trigger expiration reminders; record the approval pass rate and scope matching accuracy of each report, and use historical data to iteratively optimize the "local exclusion sorting model" in the scope rule engine. For example, adjust the weight of power outage frequency in different townships in the sorting according to the actual approval status, so that the system becomes more and more accurate with use. Among them, the connection relationship of the real-time meteorological early warning capture module is as follows: The output end of the real-time meteorological early warning capture module is connected to the input end of the early warning compliance judgment module, and sends the captured raw data such as early warning type, early warning level, release time and description of affected area to the early warning compliance judgment module for compliance verification. 1) Connection with the early warning compliance judgment module: This is the primary and only data outlet of the capture module; the capture module continuously collects data, but only after the early warning compliance judgment module determines that "the reporting conditions are met" will the early warning compliance judgment module act as the control center to trigger the connection and data distribution with other downstream modules; 2) After the judgment is passed, the early warning compliance judgment module triggers the following indirect connection relationship: ①. The warning release time is forwarded to the reporting time period automatic generation module via the control bus of the early warning compliance judgment module, triggering the time period calculation; ②. Through the control bus of the early warning compliance judgment module, the description text of the affected area is forwarded to the intelligent matching module of the reporting scope, triggering the scope resolution; ③. Through the control bus of the early warning compliance judgment module, the structured fields such as early warning title, level, and region are forwarded to the automatic filling module of the reporting materials as template variable input; ④. Through the control bus of the early warning compliance judgment module, send the captured and archived early warning screenshot and original text to the multi-attachment automatic upload module to trigger attachment preparation; ⑤. Through the control bus of the early warning compliance judgment module, push the status signal "reporting process has been triggered" and the data to be previewed to the human-machine interaction and reverse verification module; ⑥. Through the control bus of the early warning compliance judgment module, the timestamp, source channel and other log information of this capture record are sent to the data closure and rule optimization module to record the trigger event.

[0011] There is no direct, unconditional connection between the real-time meteorological early warning capture module and the modules mentioned in 2). All downstream data flow is controlled by the enablement of the early warning compliance judgment module, ensuring that subsequent resource-consuming operations (such as calling GIS interfaces, generating attachments, etc.) are only initiated when the early warning meets the reporting conditions of the "95598 Important Service Item Reporting Management Specification", thus avoiding system overhead caused by invalid capture. (ii) The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials: The early warning compliance judgment module serves as the process control center, and its output is connected to the enable input of the automatic generation module for reporting time period, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials, respectively. 1) After the early warning compliance judgment module passes the judgment, it sends a "start calculation" instruction and the application time limit parameters of the judgment to the automatic generation module of the reporting time period; 2) The early warning compliance judgment module simultaneously sends a "start matching" command and the judged application level of the reporting scope to the reporting scope intelligent matching module; 3) After the automatic generation module for reporting time period and the intelligent matching module for reporting scope complete the calculation, they send the results (start and end time periods, list of townships) to the input end of the automatic filling module for reporting materials in parallel. (iii) Connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials, the automatic uploading module for multiple attachments, and the human-computer interaction and reverse verification module: 1) The output of the automatic filling module for reporting materials is connected to the input of the human-computer interaction and reverse verification module to push and generate a complete preview of the reporting text; 2) The output of the intelligent matching module for reporting scope is connected to the input of the automatic upload module for multiple attachments, and the list of selected townships and GIS drawing instructions are sent to the attachment module to trigger the generation of map attachments; 3) The output of the multi-attachment automatic upload module is connected to the input of the human-computer interaction and reverse verification module to provide feedback on the attachment mounting status and preview thumbnails; 4) The output end of the human-computer interaction and reverse verification module, as well as the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials, are all equipped with reverse control connections: after the user modifies the scope or time period, the corresponding module is triggered to recalculate and refresh the filled text and attachments. (iv) The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials, and the data closed loop and rule optimization module: The reporting scope intelligent matching module and the data closed loop and rule optimization module are bidirectionally connected: the scope matching module sends the exclusion sorting criteria (snapshots of power outage frequency in each township and the geographic mapping relationship called) to the closed loop module for archiving; after obtaining the approval conclusion, the closed loop module feeds back the adjusted weight parameters to the rule engine of the scope matching module. At the same time, when the approval conclusion involves geographic mapping errors, the closed loop module automatically corrects the pre-configured geographic scope mapping file and synchronizes it to the local rule library of the scope matching module, realizing online updates; V) Connection relationship between the multi-attachment automatic upload module and the human-computer interaction and reverse verification module: The automatic upload module for multiple attachments is bidirectionally connected to the human-computer interaction and reverse verification module: the automatic upload module for multiple attachments will feed back the generation progress and results to the human-computer interaction module; when the user operates "regenerate map" or "upload attachment", the human-computer interaction module sends a trigger command to the automatic upload module for multiple attachments. (vi) The connection relationship between the multi-attachment automatic upload module, the human-computer interaction and reverse verification module, and the data closed-loop and rule optimization module: 1) The human-computer interaction and reverse verification module sends the user's final submitted reporting data (including traces of manual modification) to the data closed loop and rule optimization module as a baseline record; 2) The data closed-loop and rule optimization module will provide optimization suggestions to the operation interface in the form of prompts through the human-computer interaction module.

[0012] A method for intelligent reporting of important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings, characterized by the following steps: 1) Capture early warning information: Capture multi-source weather warning data in real time using RPA or API; (then proceed to step 2)); 2) Early Warning Compliance Judgment and Parameter Mapping: The system invokes the early warning compliance judgment module to analyze the early warning content and determine whether it falls under the third category of severe weather type and level threshold as stipulated in the "95598 Important Service Item Reporting Management Specifications". If it does not meet the reporting conditions, the process ends; if it does meet the conditions, proceed to step 3. 3) Automatic calculation and pop-up confirmation of the reporting period: Obtain the warning release time and, in conjunction with the application time limit parameters output in step 2), automatically calculate the event occurrence time and the impact end time; a pop-up time period confirmation window allows users to directly confirm or manually fine-tune the time. 4) Intelligent matching of reporting scope and triggering of attachments: Extract the description of the affected area from the warning text and input it into the range rule engine: ①. If it includes "most of", then the entire county area is directly defined; ②. If it includes "partial / local", retrieve the power outage frequency database to generate an exclusion recommendation list and confirm in a pop-up window, and at the same time trigger the generation of the area details table and the selected map attachment; ③. If "East / West / Surrounding Areas" is included, the geographic mapping file is called to parse the specific towns and villages, and the GIS interface is triggered to draw the designated map attachments; 5) Automatic filling of reporting materials and attachment of attachments: Inject the structured data generated in steps 1)-4) into the standard template to automatically generate event titles, event processes, work suggestions, and unified response guidelines, and automatically select the corresponding complaint subcategories; at the same time, automatically attach the warning screenshots captured in step 1) and the detailed tables / map attachments generated in step 4). 6) Human-computer interaction preview and reverse verification: Display the preview interface of the reporting information and perform compliance verification (such as whether the time limit is exceeded or the scope is empty); if the verification finds an anomaly, the anomaly item will be highlighted in red; users can modify the time period, scope, and text in the preview interface, and after modification, the system will update the calculation results of steps 3)-5). 7) One-click submission and closed-loop data archiving: After confirming that everything is correct, the application and all attachments are submitted to the 95598 business support system with one click, simulating manual operation. After submission, the approval status is continuously monitored, and the scope matching results of this application and the final approval conclusion are stored in the data closed loop module for iterative optimization of the exclusion ranking model weights.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. Deeply integrate business rules to significantly improve reporting compliance: Transform the vague rules (such as "partial exclusion" and "direction mapping") in the "95598 Important Service Item Reporting Management Specification" and "Third Category Severe Weather Reporting Review Notes" into executable algorithms and pre-configuration files, eliminating human interpretation bias. In particular, it solves the difficulties of "partial" area exclusion and vague geographical scope determination, making the reporting scope determination based on evidence and automatically compliant.

[0014] 2. Automatically generate special attachments for review, filling a technical gap: In response to the specific requirements of the State Grid for review, which require a detailed list of regions for "partial" reports and a delineated map for "directional" reports, the system automatically generates the above attachments, eliminating the need for manual table creation, screenshotting, and drawing. This reduces the burden and ensures that the materials are standardized. No existing smart grid technology has this feature.

[0015] 3. Form a closed-loop optimization mechanism to continuously improve decision-making intelligence: By recording the feedback of approval results, optimize the weight parameters of the "local exclusion ranking model" so that as the number of times the system is used increases, the recommended exclusion townships are more in line with the actual risk management needs, realizing the leap from static rules to dynamic learning.

[0016] 4. Significantly improve timeliness and reduce staff workload: Reduce the original 30-minute manual operation to 1-2 minutes of manual review, completely solve the reporting delay caused by the delay in discovery, and allow on-duty personnel to focus on higher value work. Attached Figure Description

[0017] Figure 1 This is a structural block diagram of the system of the present invention.

[0018] Figure 2 This is a flowchart of the full-process early warning module of the present invention.

[0019] Figure 3 This is a text filling (automatic filling of the highlighted part) diagram in Embodiment 1 of the present invention.

[0020] Figure 4 This is a time period generation diagram (red fog warning time limit of 24 hours) in Embodiment 1 of the present invention.

[0021] Figure 5 This is the range matching diagram ("most part" → the entire county area, no map required) in Embodiment 1 of the present invention.

[0022] Figure 6 The image shown is the weather warning map uploaded as an attachment in Embodiment 1 of the present invention.

[0023] Figure 7 This is a text filling (automatic filling of the highlighted part) diagram in Embodiment 2 of the present invention.

[0024] Figure 8 This is a time period generation diagram (red fog warning time limit of 24 hours) in Embodiment 2 of the present invention.

[0025] Figure 9 This is a range matching diagram (the pop-up window determines the range and automatically draws the township boundaries, and the mapped map is uploaded as an attachment) in Embodiment 2 of the present invention.

[0026] Figure 10 This is a diagram showing the reporting scope in Embodiment 2 of the present invention.

[0027] Figure 11 The image shown is the weather warning map uploaded as an attachment in Embodiment 2 of the present invention.

[0028] Figure 12 This is an example of text filling (automatic filling of the highlighted parts) in Embodiment 3 of the present invention. Figure 13 This is a time period generation (120-hour red rainstorm warning) map in Embodiment 3 of the present invention.

[0029] Figure 14 This is a range matching diagram (the mapped township boundaries are automatically drawn and the defined map is uploaded as an attachment) in Embodiment 3 of the present invention.

[0030] Figure 15 This is a diagram showing the reporting scope in Embodiment 3 of the present invention.

[0031] Figure 16 This is the attached image (weather warning map) in Embodiment 3 of the present invention.

[0032] Figure 17 This is a diagram before the pre-configured geographic range mapping file is adjusted in Embodiment 4 of the present invention.

[0033] Figure 18 This is the image after adjusting the pre-configured geographic range mapping file in Embodiment 4 of the present invention. Detailed Implementation

[0034] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0035] like Figure 1 As shown, an intelligent reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings includes: 1) The real-time meteorological warning capture module connects to multiple release channels such as the official website of the meteorological bureau, the 12379 national early warning information release mini-program, and the Hubei early warning release WeChat official account. It crawls the warning title, issuing unit, release time, warning level, affected area, impact description and duration in real time through RPA or API interface, and automatically completes compliant screenshot archiving. 2) The early warning compliance judgment module has built-in rules in the appendix of the "95598 Important Service Item Reporting Management Specification" to build a mapping relationship table of early warning type, early warning level, reporting application level and application time limit, and automatically determine the reporting level and time limit parameters corresponding to the current early warning. 3) Automatic generation module for reporting time period: captures the warning release time, automatically calculates the event occurrence time and impact end time based on the mapping relationship table, and provides confirmation or manual fine-tuning in the form of a pop-up window; 4) Intelligent matching module for reporting scope, with a built-in scope rule engine based on the "Notes on the Review and Approval of Reports for Category III Severe Weather", specifically including: ①. "Major" processing rule: After being triggered, it automatically matches the entire county / district, without needing to exclude townships; ②. "Partial / Local" processing rules: After triggering, retrieve the historical database of power outage frequency / fault count for each township in the past two months, sort them from high to low frequency to generate a smart exclusion recommendation list, and mark the township at the top of the list as the recommended exclusion value, with a pop-up window for confirmation; at the same time, automatically generate a detailed regional table containing power outage data for each candidate township as a filing attachment to prove the rationality of the exclusion. ③. "East / West / Surrounding Areas" processing rules: After triggering, the pre-configured geographic range mapping file is called. This file defines the mapping relationship between directional descriptors (such as "East of Tongcheng County") and a list of specific towns (such as Junshui Town, Maishi Town, etc.). The affected town range is automatically parsed and delineated. At the same time, based on the mapping results, the GIS interface is called to automatically draw and upload the delineated map attachment to meet the visualization requirements of the review. 5) Automatic material filling module for reporting: It has built-in standard templates that meet the specifications. The module fills in variables such as warning time, area and level into the template and automatically generates event title, event process, work suggestions and unified response. It also automatically selects the sub-category of complaints that affect the event (power outage complaints - emergency repair service - time limit, frequent power outages, abnormal voltage quality, etc.). 6) Automatic upload module with multiple attachments: This module is used to automatically upload captured weather warning screenshots. For reporting scenarios that require uploading a map of a defined area, it automatically generates a list of corresponding townships and calls GIS services to automatically delineate the map area as an attachment. For "partial" reporting, it automatically uploads the detailed list of areas generated during the intelligent exclusion process as an attachment. 7) Human-computer interaction and reverse verification module, providing a preview interface, allowing modification of time period, scope, text, and attachments; built-in compliance verification rules, highlighting in red when the warning level, time limit, scope, or subclass does not match; after confirmation, one-click submission to the 95598 business support system; 8) Data closed-loop and rule optimization module: continuously monitor the approval status of the reporting process (qualified, unqualified, offline, etc.) and automatically trigger expiration reminders; record the approval pass rate and scope matching accuracy of each report, and use historical data to iteratively optimize the "local exclusion sorting model" in the scope rule engine. For example, adjust the weight of power outage frequency in different townships in the sorting according to the actual approval status, so that the system becomes more and more accurate with use. Among them, 1. The connection relationship of the real-time weather warning capture module: The output end of the real-time meteorological early warning capture module is connected to the input end of the early warning compliance judgment module, and sends the captured raw data such as early warning type, early warning level, release time and description of affected area to the early warning compliance judgment module for compliance verification. 1) Connection with the early warning compliance judgment module: This is the primary and only data outlet of the capture module; the capture module continuously collects data, but only after the early warning compliance judgment module determines that "the reporting conditions are met" will the early warning compliance judgment module act as the control center to trigger the connection and data distribution with other downstream modules; 2) After the judgment is passed, the early warning compliance judgment module triggers the following indirect connection relationship: ①. The warning release time is forwarded to the reporting time period automatic generation module via the control bus of the early warning compliance judgment module, triggering the time period calculation; ②. Through the control bus of the early warning compliance judgment module, the description text of the affected area is forwarded to the intelligent matching module of the reporting scope, triggering the scope resolution; ③. Through the control bus of the early warning compliance judgment module, the structured fields such as early warning title, level, and region are forwarded to the automatic filling module of the reporting materials as template variable input; ④. Through the control bus of the early warning compliance judgment module, send the captured and archived early warning screenshot and original text to the multi-attachment automatic upload module to trigger attachment preparation; ⑤. Through the control bus of the early warning compliance judgment module, push the status signal "reporting process has been triggered" and the data to be previewed to the human-machine interaction and reverse verification module; ⑥. Through the control bus of the early warning compliance judgment module, the timestamp, source channel and other log information of this capture record are sent to the data closure and rule optimization module to record the trigger event.

[0036] There is no direct, unconditional connection between the real-time meteorological early warning capture module and the modules mentioned in 2). All downstream data flow is controlled by the enablement of the early warning compliance judgment module, ensuring that subsequent resource-consuming operations (such as calling GIS interfaces, generating attachments, etc.) are only initiated when the early warning meets the reporting conditions of the "95598 Important Service Item Reporting Management Specification", thus avoiding system overhead caused by invalid capture. 2. The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials: The early warning compliance judgment module serves as the process control center, and its output is connected to the enable input of the automatic generation module for reporting time period, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials, respectively. 1) After the early warning compliance judgment module passes the judgment, it sends a "start calculation" instruction and the application time limit parameters of the judgment to the automatic generation module of the reporting time period; 2) The early warning compliance judgment module simultaneously sends a "start matching" command and the judged application level of the reporting scope to the reporting scope intelligent matching module; 3) After the automatic generation module for reporting time period and the intelligent matching module for reporting scope complete the calculation, they send the results (start and end time periods, list of townships) to the input end of the automatic filling module for reporting materials in parallel. 3. The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials (four modules), the automatic uploading module for multiple attachments, and the human-computer interaction and reverse verification module: 1) The output of the automatic filling module for reporting materials is connected to the input of the human-computer interaction and reverse verification module to push and generate a complete preview of the reporting text; 2) The output of the intelligent matching module for reporting scope is connected to the input of the automatic upload module for multiple attachments, and the list of selected townships and GIS drawing instructions are sent to the attachment module to trigger the generation of map attachments; 3) The output of the multi-attachment automatic upload module is connected to the input of the human-computer interaction and reverse verification module to provide feedback on the attachment mounting status and preview thumbnails; 4) The output end of the human-computer interaction and reverse verification module and the four modules (early warning compliance judgment module, automatic generation module for reporting time period, intelligent matching module for reporting scope, and automatic filling module for reporting materials) are all equipped with reverse control connection: after the user modifies the scope or time period, the corresponding module is triggered to recalculate and refresh the filled text and attachments. 4. The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials (four modules), and the data closed loop and rule optimization module: The reporting scope intelligent matching module and the data closed loop and rule optimization module are bidirectionally connected: the scope matching module sends the exclusion sorting criteria (snapshots of power outage frequency in each township and the geographic mapping relationship called) to the closed loop module for archiving; after obtaining the approval conclusion, the closed loop module feeds back the adjusted weight parameters to the rule engine of the scope matching module. At the same time, when the approval conclusion involves geographic mapping errors, the closed loop module automatically corrects the pre-configured geographic scope mapping file and synchronizes it to the local rule library of the scope matching module, realizing online updates; 5. The connection relationship between the multi-attachment automatic upload module and the human-computer interaction and reverse verification module: The automatic upload module for multiple attachments is bidirectionally connected to the human-computer interaction and reverse verification module: the automatic upload module for multiple attachments will feed back the generation progress and results to the human-computer interaction module; when the user operates "regenerate map" or "upload attachment", the human-computer interaction module sends a trigger command to the automatic upload module for multiple attachments. 6. The connection relationship between the multi-attachment automatic upload module, the human-computer interaction and reverse verification module, and the data closure and rule optimization module: 1) The human-computer interaction and reverse verification module sends the user's final submitted reporting data (including traces of manual modification) to the data closed loop and rule optimization module as a baseline record; 2) The data closed-loop and rule optimization module will provide optimization suggestions to the operation interface in the form of prompts through the human-computer interaction module.

[0037] A method for intelligent reporting of important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings includes the following steps: 1) Capture early warning information: Capture multi-source weather warning data in real time using RPA or API; (then proceed to step 2)); 2) Early Warning Compliance Judgment and Parameter Mapping: The system invokes the early warning compliance judgment module to analyze the early warning content and determine whether it falls under the third category of severe weather type and level threshold as stipulated in the "95598 Important Service Item Reporting Management Specifications". If it does not meet the reporting conditions, the process ends; if it does meet the conditions, proceed to step 3. 3) Automatic calculation and pop-up confirmation of the reporting period: Obtain the warning release time and, in conjunction with the application time limit parameters output in step 2), automatically calculate the event occurrence time and the impact end time; a pop-up time period confirmation window allows users to directly confirm or manually fine-tune the time. 4) Intelligent matching of reporting scope and triggering of attachments: Extract the description of the affected area from the warning text and input it into the range rule engine: ①. If it includes "most of", then the entire county area is directly defined; ②. If it includes "partial / local", retrieve the power outage frequency database to generate an exclusion recommendation list and confirm in a pop-up window, and at the same time trigger the generation of the area details table and the selected map attachment; ③. If "East / West / Surrounding Areas" is included, the geographic mapping file is called to parse the specific towns and villages, and the GIS interface is triggered to draw the designated map attachments; 5) Automatic filling of reporting materials and attachment of attachments: Inject the structured data generated in steps 1)-4) into the standard template to automatically generate event titles, event processes, work suggestions, and unified response guidelines, and automatically select the corresponding complaint subcategories; at the same time, automatically attach the warning screenshots captured in step 1) and the detailed tables / map attachments generated in step 4). 6) Human-computer interaction preview and reverse verification: Display the preview interface of the reporting information and perform compliance verification (such as whether the time limit is exceeded or the scope is empty); if the verification finds an anomaly, the anomaly item will be highlighted in red; users can modify the time period, scope, and text in the preview interface, and after modification, the system will update the calculation results of steps 3)-5). 7) One-click submission and closed-loop data archiving: After confirming that everything is correct, the application and all attachments are submitted to the 95598 business support system with one click, simulating manual operation. After submission, the approval status is continuously monitored, and the scope matching results of this application and the final approval conclusion are stored in the data closed loop module for iterative optimization of the exclusion ranking model weights.

[0038] Example 1: Automatic reporting of red fog warning in Tongcheng County: Automatic capture: Tongcheng County Meteorological Observatory issued a red fog warning, affecting most of Tongcheng County; Text fill: Automatically generate titles, processes, suggestions, and response guidelines; Time period generation: The start time is taken when the warning is issued, and the end time is generated within 24 hours of the application period for the red fog warning. Confirmation is required via pop-up window. Range matching: The range rule engine identifies "most" → the entire county, without needing to exclude townships; Attachment to be uploaded: Screenshot of the warning; After confirming through human-computer interaction, submit to the 95598 system with one click.

[0039] Figure 3 (Text Fill Diagram): Generated in the "Text Fill" step of Example 1. It shows the effect of the system automatically filling variables into the template, with the fields to be confirmed highlighted in red on the interface.

[0040] Figure 4 (Time Period Generation Diagram): Generated in the "Time Period Generation" step of Example 1. It shows the start and end time confirmation interface for the system pop-up notification indicating a 24-hour red fog warning application period.

[0041] Figure 5 (Scope Matching Map): Generated in the "Scope Matching" step of Example 1. It shows the interface state where the system automatically matches the entire county scope after "most" is identified, without requiring a map.

[0042] Figure 6 (Warning Information Image): Generated in the "Attachment Upload" step of Example 1. It shows a preview of the weather warning screenshot being attached to the system.

[0043] Example 2: Automatic reporting of partial yellow gale warnings in Tongcheng County: Automatic capture: Tongcheng County Meteorological Observatory issued a yellow warning for severe convection, the wind force level has reached the reporting conditions, and the affected area is "part of Tongcheng County"; Text fill: Automatically generate titles, processes, suggestions, and response guidelines; Time period generation: The start time is taken when the warning is issued, and the end time is generated within 24 hours for the application period of the yellow gale warning. Confirm in the pop-up window; Range matching: The range rule engine identifies "part" → retrieves power outage frequency data for 11 townships in the past two months, sorts them in descending order of frequency, and generates an intelligent exclusion recommendation list (e.g., "Beigang Town" has the lowest power outage frequency and is recommended for exclusion). A pop-up window allows users to confirm the exclusion of townships. After the pop-up window is confirmed, the list of affected townships is automatically defined. At the same time, the GIS interface is called to automatically draw and upload the defined map attachment based on the mapped township boundaries. Attachments to be uploaded: screenshot of the warning, map attachment; After confirming through human-computer interaction, submit to the 95598 system with one click.

[0044] Figure 7 (Text Fill Diagram): Generated in the "Text Fill" step of Example 2. It shows the interface for automatically generating reporting text under a Yellow Gale Warning (where the wind force level in the severe convective weather warning has reached the Yellow Gale Warning level).

[0045] Figure 8(Time Period Generation Diagram): Generated in the "Time Period Generation" step of Example 2. It shows the pop-up confirmation interface for the start and end times of the 24-hour period for the Yellow Gale Warning application.

[0046] Figure 9 (Scope Matching - Pop-up Confirmation Diagram): This corresponds to the pop-up interaction step in Implementation Example 2, where the intelligent exclusion recommendation list (excluding Beigang Town) is displayed.

[0047] Figure 10 (Reported Scope Map): Generated during the map drawing stage of the "Scope Matching" step in Implementation Example 2. It displays a map of the remaining affected townships automatically selected by the system after the user confirms the exclusion of townships, and is uploaded as an attachment.

[0048] Figure 11 (Warning information image): Generated in the "Attachment Upload" step of Example 2. It shows a preview of the weather warning screenshot being attached to the system.

[0049] Example 3: Automatic reporting of red rainstorm warnings for Magang Town, Guandao Town, Junshui Town and surrounding towns in Tongcheng County: The Tongcheng County Meteorological Observatory issued a red alert for heavy rain, affecting the areas of "Magang Town, Guandao Town, Junshui Town and surrounding towns"; Text fill: Automatically generate titles, processes, suggestions, and response guidelines; Time period generation: The start time is taken when the warning is issued, and the application period of the red rainstorm warning is 120 hours. The end time is generated and confirmed in the pop-up window. Range matching: The range rule engine identifies "XX town and surrounding areas" → calls the pre-configured geographic range mapping file (e.g., "Magang town and surrounding areas = Magang town + Junshui town + Wuli town + Guandao town"; "Guandao town and surrounding areas = Magang town + Junshui town + Wuli town + Guandao town + Shadui town + Tanghu town + Maishi town"; "Junshui town and surrounding areas = Magang town + Shinan town + Wuli town + Guandao town + Shadui town"; find the union), automatically delineates the list of affected towns; at the same time, it calls the GIS interface to automatically draw and upload the delineated map attachment based on the mapped town boundaries; Attachments to be uploaded: screenshot of the warning, map attachment; After confirming through human-computer interaction, submit to the 95598 system with one click.

[0050] Figure 12 (Text Fill Diagram): This corresponds to the "Text Fill" step in Example 3. It shows the interface for automatically generating reporting text under a red rainstorm warning.

[0051] Figure 13 (Time Period Generation Diagram): Generated in the "Time Period Generation" step of Example 3. It shows the start and end time confirmation pop-up for the 120-hour application period of the red rainstorm warning.

[0052] Figure 14 (Scope Matching Map): Generated in the "Scope Matching" step of Example 3. It shows a preview of the bounded map attachment automatically drawn by calling the GIS interface after the union operation of "XX Town and Surrounding Areas".

[0053] Figure 15 (Reported Scope Map): This corresponds to the vector map details generated in the "Scope Matching" step of Example 3. It shows the specific township boundaries after the union of "Magang Town, Guandao Town, Junshui Town and surrounding areas," and is uploaded as an attachment.

[0054] Figure 16 (Attachment Upload Image): Generated in the "Attachment Upload" step of Example 3. This shows a preview of the weather warning screenshot being attached to the system.

[0055] Example 4, Closed-loop optimization example: The Tongcheng County Meteorological Observatory issued a yellow alert for thunderstorms, affecting the "southern Tongcheng" area. After confirming the reported scope (assuming "southern Tongcheng = Wuli Town + Magang Town + Guandao Town + Maishi Town + Tanghu Town"), the approval result for this report was "unqualified" because Tanghu Town is not part of southern Tongcheng. The system recorded this result and adjusted the pre-configured geographic range mapping file to make the rule matching more consistent with the actual geographic distribution.

[0056] Assuming that in Example 2, after "Beigang Town" was recommended for exclusion and confirmed, due to the severe disaster situation in Beigang Town and the large number of work orders in the Beigang area during that period, the system records this result and adjusts the power outage frequency weight of Beigang Town in the local exclusion ranking model (reducing its priority as an exclusion candidate). In subsequent similar warnings, the system will prioritize recommending other towns as exclusion items, making the rule matching more consistent with the actual risk distribution.

[0057] Figure 17 (Before the adjustment of the pre-configured geographic scope mapping file): A snapshot of the system record in Example 4 when the "first report was unqualified". It shows that before the adjustment, "Southern Tongcheng" incorrectly included the GIS scope of Tanghu Town.

[0058] Figure 18 (After adjusting the pre-configured geographic range mapping file): This corresponds to the interface in Implementation Example 4, "System records results and adjustments are made." It shows that after adjusting the mapping file, the "Southern Tongcheng" range has been corrected to the correct set of townships (excluding Tanghu Town). This map is generated after the data loop module completes rule optimization and before the next reporting trigger.

[0059] Industrial Applicability: This invention can be directly deployed in the power supply service command centers of municipal / county-level power supply companies as the intelligent front end of the existing 95598 important service item reporting system. The system can be deployed using a combination of lightweight RPA and a rule engine, and interface with meteorological data sources and the 95598 business support system. It is applicable to the reporting of important items during the third category of severe weather across the entire State Grid network, with low implementation costs, significantly improved efficiency, reduced load, and guaranteed compliance, making it extremely valuable for widespread adoption.

Claims

1. A smart reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings, characterized in that... include: 1) The real-time meteorological warning capture module connects to multiple release channels such as the official website of the meteorological bureau, the 12379 national early warning information release mini-program, and the Hubei early warning release WeChat official account. It crawls the warning title, issuing unit, release time, warning level, affected area, impact description and duration in real time through RPA or API interface, and automatically completes compliant screenshot archiving. 2) The early warning compliance judgment module has built-in rules in the appendix of the "95598 Important Service Item Reporting Management Specification" to build a mapping relationship table of early warning type, early warning level, reporting application level and application time limit, and automatically determine the reporting level and time limit parameters corresponding to the current early warning. 3) Automatic generation module for reporting time period: captures the warning release time, automatically calculates the event occurrence time and impact end time based on the mapping relationship table, and provides confirmation or manual fine-tuning in the form of a pop-up window; 4) Intelligent matching module for reporting scope, with a built-in scope rule engine based on the "Notes on the Review and Approval of Reports for Category III Severe Weather", specifically including: ①. "Major" processing rule: Automatically matches the entire county / district scope after triggering; ②. "Partial / Local" processing rules: After triggering, retrieve the historical database of power outage frequency / fault count for each township in the past two months, sort by frequency from high to low to generate a smart exclusion recommendation list, and mark the township at the top of the list as the recommended exclusion value, with a pop-up window for confirmation; at the same time, automatically generate a detailed regional table containing power outage data for each candidate township as a filing attachment to prove the rationality of the exclusion. ③. "East / West / Surrounding Areas" processing rules: After triggering, the pre-configured geographic range mapping file is called, which defines the mapping relationship between directional descriptors and specific township lists. The affected township range is automatically parsed and delineated. At the same time, based on the mapping results, the GIS interface is called to automatically draw and upload the delineated map attachment to meet the visualization requirements of the review. 5) Automatic filling module for reporting materials: It has built-in standard templates that meet the specifications. The module fills in variables such as warning time, area, and level into the templates and automatically generates event titles, event processes, work suggestions, and unified response guidelines. It also automatically selects the subcategories that affect complaints. 6) Automatic upload module with multiple attachments: This module is used to automatically upload captured weather warning screenshots. For reporting scenarios that require uploading a map of a defined area, it automatically generates a list of corresponding townships and calls GIS services to automatically delineate the map area as an attachment. For "partial" reporting, it automatically uploads the detailed list of areas generated during the intelligent exclusion process as an attachment. 7) Human-computer interaction and reverse verification module, providing a preview interface, allowing modification of time period, scope, text, and attachments; built-in compliance verification rules, highlighting in red when the warning level, time limit, scope, or subclass does not match; after confirmation, one-click submission to the 95598 business support system; 8) Data closed-loop and rule optimization module: continuously monitor the approval status of the reporting process and automatically trigger expiration reminders; record the approval rate and scope matching accuracy of each reporting, and use historical data to iteratively optimize the "local exclusion sorting model" in the scope rule engine; Among them, the connection relationship of the real-time meteorological early warning capture module is as follows: The output end of the real-time meteorological early warning capture module is connected to the input end of the early warning compliance judgment module, and sends the captured raw data such as early warning type, early warning level, release time and description of affected area to the early warning compliance judgment module for compliance verification. (ii) The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials: The early warning compliance judgment module serves as the process control center, and its output is connected to the enable input of the automatic generation module for reporting time period, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials, respectively. (iii) Connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials, the automatic uploading module for multiple attachments, and the human-computer interaction and reverse verification module: 1) The output of the automatic filling module for reporting materials is connected to the input of the human-computer interaction and reverse verification module to push and generate a complete preview of the reporting text; 2) The output of the intelligent matching module for reporting scope is connected to the input of the automatic upload module for multiple attachments, and the list of selected townships and GIS drawing instructions are sent to the attachment module to trigger the generation of map attachments; 3) The output of the multi-attachment automatic upload module is connected to the input of the human-computer interaction and reverse verification module to provide feedback on the attachment mounting status and preview thumbnails; 4) The output end of the human-computer interaction and reverse verification module, as well as the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials, are all equipped with reverse control connections: after the user modifies the scope or time period, the corresponding module is triggered to recalculate and refresh the filled text and attachments. (iv) The connection relationship between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, the automatic filling module for reporting materials, and the data closure and rule optimization module: The reporting scope intelligent matching module and the data closure and rule optimization module are bidirectionally connected: the scope matching module sends the exclusion and sorting criteria to the closure module for archiving; after obtaining the approval conclusion, the closure module feeds back the adjusted weight parameters to the rule engine of the scope matching module. At the same time, when the approval conclusion involves geographic mapping errors, the closure module automatically corrects the pre-configured geographic scope mapping file and synchronizes it to the local rule library of the scope matching module to achieve online updates. V) Connection relationship between the multi-attachment automatic upload module and the human-computer interaction and reverse verification module: The automatic upload module for multiple attachments is bidirectionally connected to the human-computer interaction and reverse verification module: the automatic upload module for multiple attachments will feed back the generation progress and results to the human-computer interaction module; when the user operates "regenerate map" or "upload attachment", the human-computer interaction module sends a trigger command to the automatic upload module for multiple attachments. VI) The connection relationship between the multi-attachment automatic upload module, the human-computer interaction and reverse verification module, and the data closure and rule optimization module: 1) The human-computer interaction and reverse verification module sends the user's final submitted reporting data to the data closed loop and rule optimization module as a baseline record; 2) The data closed-loop and rule optimization module will provide optimization suggestions to the operation interface in the form of prompts through the human-computer interaction module.

2. The intelligent reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings as described in claim 1, characterized in that... In the connection relationship of the real-time weather warning capture module: 1) Connection with the warning compliance judgment module: This is the primary and only data outlet of the capture module; the capture module continuously collects data, but only after the warning compliance judgment module determines that "the reporting conditions are met", the warning compliance judgment module acts as the control center to trigger the connection and data distribution with other downstream modules; 2) After the judgment is passed, the early warning compliance judgment module triggers the following indirect connection relationship: ①. The warning release time is forwarded to the reporting time period automatic generation module via the control bus of the early warning compliance judgment module, triggering the time period calculation; ②. Through the control bus of the early warning compliance judgment module, the description text of the affected area is forwarded to the intelligent matching module of the reporting scope, triggering the scope resolution; ③. Through the control bus of the early warning compliance judgment module, the structured fields such as early warning title, level, and region are forwarded to the automatic filling module of the reporting materials as template variable input; ④. Through the control bus of the early warning compliance judgment module, send the captured and archived early warning screenshot and original text to the multi-attachment automatic upload module to trigger attachment preparation; ⑤. Through the control bus of the early warning compliance judgment module, push the status signal "reporting process has been triggered" and the data to be previewed to the human-machine interaction and reverse verification module; ⑥. Through the control bus of the early warning compliance judgment module, the timestamp, source channel and other log information of this capture record are sent to the data closure and rule optimization module to record the trigger event.

3. The intelligent reporting system for important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings as described in claim 1, characterized in that... The connection relationships between the early warning compliance judgment module, the automatic generation module for reporting time periods, the intelligent matching module for reporting scope, and the automatic filling module for reporting materials are as follows: 1) After the early warning compliance judgment module passes the judgment, it sends a "start calculation" instruction and the application time limit parameters of the judgment to the automatic generation module of the reporting time period; 2) The early warning compliance judgment module simultaneously sends a "start matching" command and the judged application level to the reporting scope intelligent matching module; 3) After the automatic generation module for reporting time period and the intelligent matching module for reporting scope complete their calculations, they send the results in parallel to the input end of the automatic filling module for reporting materials.

4. A method for intelligent reporting of important power supply service matters based on automatic capture and intelligent matching of meteorological early warnings, characterized in that... Includes the following steps: 1) Capture early warning information: Real-time capture of multi-source meteorological early warning data via RPA or API; 2) Early Warning Compliance Judgment and Parameter Mapping: The system calls the early warning compliance judgment module to analyze the early warning content and determine whether it falls under the third category of severe weather type and level threshold as stipulated in the "95598 Important Service Item Reporting Management Specification". If it does not meet the reporting conditions, the process ends. If it meets the requirements, proceed to step 3). 3) Automatic calculation and pop-up confirmation of the reporting period: Obtain the warning release time and, in conjunction with the application time limit parameters output in step 2), automatically calculate the event occurrence time and the impact end time; a pop-up time period confirmation window allows users to directly confirm or manually fine-tune the time. 4) Intelligent matching of reporting scope and triggering of attachments: Extract the description of the affected area from the warning text and input it into the range rule engine: ①. If it includes "most of", then the entire county area is directly defined; ②. If "partial / local" is included, retrieve the power outage frequency database to generate an exclusion recommendation list and confirm in a pop-up window, while simultaneously triggering the generation of the area details table and the selected map attachments; ③. If "East / West / Surrounding Areas" is included, the geographic mapping file is called to parse the specific towns and villages, and the GIS interface is triggered to draw the designated map attachments; 5) Automatic filling of reporting materials and attachment of attachments: Inject the structured data generated in steps 1)-4) into the standard template to automatically generate event titles, event processes, work suggestions, and unified response guidelines, and automatically select the corresponding complaint subcategories; at the same time, automatically attach the warning screenshots captured in step 1) and the detailed tables / map attachments generated in step 4). 6) Human-computer interaction preview and reverse verification: Display a preview interface of the reported information and perform compliance verification; If an anomaly is detected during the verification, the anomaly item will be highlighted in red. Users can modify the time period, range, and text in the preview interface. After modification, the system will update the calculation results of steps 3)-5). 7) One-click submission and closed-loop data archiving: After confirming that everything is correct, simulate manual operation to submit the application and all attachments to the 95598 business support system with one click; After submission, the approval status is continuously monitored, and the scope matching results of this report and the final approval conclusion are stored in the data closed-loop module for iterative optimization of the exclusion ranking model weights.

Images