Multidimensional Analysis System of Existing User Files Based on Power Image Recognition

Abstract

The present invention discloses a multi-dimensional analysis system for existing user archives based on power image recognition, including an integration layer, a business layer and a service layer; wherein the business layer includes a customer archive digitization unit, an archive digitization business application unit, a residential archive maintenance management unit, a customer archive digitization analysis unit, a customer archive public support management unit, an i State Grid app function optimization unit, an online State Grid app function optimization unit and an electronic archive security management unit. The present invention can solve the existing problems of not realizing the onlineization of the entire process of business expansion archives, and being in a weak position in terms of OCR recognition verification, unstructured data retrieval, and contract encryption capabilities. The present invention effectively improves the efficiency of customers' electricity handling, promotes online business, improves the level of customer interactive service management, improves the level of digital decision-making assistance, enhances the ability to mine data value, empowers corporate business decisions, and fully realizes maximum benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of power stock user profile analysis, and in particular to a stock user profile multidimensional analysis system based on power image recognition. Background Art

[0002] The current electronic file management capabilities of power stock users have the following problems:

[0003] 1. In terms of electronic file collection, some links of low-voltage business expansion and registration have achieved online and offline joint operations, but the key links such as business processing, on-site investigation, meter installation and power connection are still based on offline paper materials. Through the document printing function, the document is signed by hand offline. The staff takes photos of the signed materials to form electronic files and collects and archives them, which has not achieved closed-loop management of the entire process of online circulation and compliance verification;

[0004] 2. In terms of electronic archive management, it supports the maintenance of basic archives in residential areas, but does not support the management of unstructured archive materials; at the same time, the archives in residential areas are not linked to the business expansion access process, and the archived information of new installations in the community and low-voltage batch new installations cannot be automatically synchronized to maintain the archives in residential areas; currently, it has the initial function of accessing user electronic archives according to user numbers and process work order numbers, but it is unable to perform multi-dimensional archive retrieval and intelligent identification management, and the risk warning and prevention capabilities are still relatively weak;

[0005] 3. In terms of the legal effect of electronic contracts, the online signing and circulation of low-voltage business expansion and power supply contracts and agreements are achieved through the online State Grid and cryptographic service platforms. However, since online electronic contracts lack the application of encryption technologies such as interline seals and blockchain, electronic contracts, when used as a legal basis, do not have authoritative legal effect compared to paper contracts.

[0006] Therefore, although the basic management and application of business expansion archives can be realized, and some links in the process have the ability to circulate archival materials online, due to limitations, the entire process of business expansion archives has not been realized online, and it is in a weak position in terms of OCR recognition and verification, unstructured data retrieval, and contract encryption capabilities, resulting in poor archive management effects. Summary of the invention

[0007] In view of the technical problem of poor archive management effect pointed out by the above background technology, the purpose of the present invention is to provide a multi-dimensional analysis system of existing user archives based on power image recognition.

[0008] To achieve the purpose of the present invention, the technical solution provided by the present invention is as follows:

[0009] The present application provides a multi-dimensional analysis system for stock user profiles based on power image recognition, including an integration layer, a business layer, and a service layer;

[0010] The integration layer includes the online State Grid app unit, the i State Grid app unit, the State Grid OCR platform and the State Grid blockchain platform, which are used to provide data support for the business layer;

[0011] The business layer includes a customer file digitization unit, a file digitization business application unit, a residential area file maintenance management unit, a customer file digitization analysis unit, a customer file public support management unit, an i State Grid app function optimization unit, an online State Grid app function optimization unit and an electronic file security management unit, which are used to provide business support for the service layer;

[0012] The service layer is used to provide services to business hall staff, on-site personnel and electricity customers;

[0013] The customer file digitization unit is used to identify, parse and analyze the image file structured data of the electricity consumption data manually uploaded, photographed and uploaded or collected by the user;

[0014] The digital archive business application unit is used to intelligently review the application information when applying for power business and notify the user. At the same time, it intelligently checks and verifies the compliance of the power supply and use contract and the archive documents. It obtains customer certificate information through various terminals and automatically fills it into the corresponding business information.

[0015] The residential area archive maintenance and management unit is used to improve the residential area new installation function, automatically generate residential area archive information to be archived when the community supporting new installation information is archived, establish the association between residential area archives and users, and realize the maintenance of unstructured archive data of residential areas;

[0016] Among them, the customer file digital analysis unit is used to carry out the verification of the existing customer file data through the customer file data verification task management based on the electronic image recognition service engine, and to verify related functions with the file data;

[0017] Among them, the customer archive public support management unit is used to manage customer business documents, support online preview and printing of electronic documents, and manage various recognition templates in a unified manner. Based on the OCR recognition engine and recognition template management service, it optimizes the image recognition and analysis service.

[0018] Among them, the i State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential new installation capacity increase, high-voltage new installation capacity increase functions, and enable the i State Grid app mobile terminal to obtain marketing side work order information, complete on-site investigation work, and automatically generate a "Site Investigation Form" based on the document template, and return it to the marketing system to optimize the process;

[0019] Among them, the online State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential business acceptance and meter installation and power connection functions, so as to realize the customer electricity registration form, electricity business notification, and electronic commitment letter to generate PDF documents with customer signatures and pass them to customers through the online State Grid APP / E-power assistant. At the same time, the customer's new installation and capacity increase "Low Voltage Electricity Metering Installation and Receiving Order" and "New Installation and Capacity Increase Power Delivery Order" are pushed to the online State Grid, and the customer signs and confirms online;

[0020] Among them, the electronic file security management unit is used to utilize the authentication, filing and electronic signature of an authorized agency with authority and credibility, and to ensure the security and reliability of the electronic signature through secure electronic authentication with the CA center; through integration with blockchain platform services, the work order information, business documents, electricity supply and use contracts and other content data generated by the electricity application and installation business can be uploaded to the chain, thereby improving the accuracy and security of customer file information.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] The present invention integrates the OCR service engine of the artificial intelligence center to optimize and improve the functions related to the digital management and digital analysis of customer files, thereby realizing the intelligent extraction and application capabilities of certificate files and business documents, and the intelligent verification service capabilities of certificates, business documents, electronic contracts and other documents; storing and extracting structured data, and building a graphic information library; based on the OCR service capabilities, conducting customer file data verification through data verification rules, displaying the verification results and processing abnormal results, thereby improving customer experience, effectively improving the work efficiency of grassroots teams, improving the efficiency of customers' electricity services, promoting online business, improving the level of customer interactive service management, improving the level of digital decision-making assistance, enhancing data value mining capabilities, enabling corporate business decisions, and fully realizing maximum benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a business architecture diagram of the multi-dimensional analysis system of existing user profiles based on power image recognition provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] like Figure 1As shown, this embodiment provides a multi-dimensional analysis system for stock user profiles based on power image recognition, including an integration layer, a business layer and a service layer;

[0026] The integration layer includes the online State Grid app unit, the i State Grid app unit, the State Grid OCR platform and the State Grid blockchain platform, which are used to provide data support for the business layer;

[0027] Among them, the online State Grid app unit and the i State Grid app unit are used for integrated management of the online State Grid and the i State Grid; specifically, the State Grid is identified and managed through the State Grid OCR platform, and is connected through the State Grid blockchain platform to form a State Grid blockchain.

[0028] The business layer includes a customer file digitization unit, a file digitization business application unit, a residential area file maintenance management unit, a customer file digitization analysis unit, a customer file public support management unit, an i State Grid app function optimization unit, an online State Grid app function optimization unit and an electronic file security management unit, which are used to provide business support for the service layer;

[0029] The service layer is used to provide services to business hall staff, on-site personnel and electricity customers;

[0030] The customer file digitization unit is used to identify and parse the image file structured data of the electricity consumption data manually uploaded, photographed and uploaded, or collected by the user through power image recognition technology and document electronic technology, and optimize the functions of low-voltage residential / non-residential new installation, capacity increase, meter connection, information archiving, etc.;

[0031] The digital archive business application unit is used to intelligently review the application information when applying for power business and notify the user. At the same time, it intelligently checks and verifies the compliance of the power supply and use contract and the archive documents. It obtains customer certificate information through various terminals and automatically fills it into the corresponding business information.

[0032] The residential area archive maintenance and management unit is used to improve the residential area new installation function, automatically generate residential area archive information to be archived when the community supporting new installation information is archived, establish the association between residential area archives and users, and realize the maintenance of unstructured archive data of residential areas;

[0033] Among them, the customer file digital analysis unit is used to carry out the verification of the existing customer file data through the customer file data verification task management based on the electronic image recognition service engine, and to verify related functions with the file data;

[0034] Among them, the customer archive public support management unit is used to manage customer business documents, support online preview and printing of electronic documents, and manage various recognition templates in a unified manner. Based on the OCR recognition engine and recognition template management service, it optimizes the image recognition and analysis service.

[0035] Among them, the i State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential new installation capacity increase, high-voltage new installation capacity increase functions, and enable the i State Grid app mobile terminal to obtain marketing side work order information, complete on-site investigation work, and automatically generate on-site investigation orders based on document templates, and return them to the marketing system to optimize the process;

[0036] Among them, the online State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential business acceptance and meter installation and power connection functions, so as to realize the customer electricity registration form, electricity business notification, and electronic commitment letter to generate PDF documents with customer signatures and pass them to customers through the online State Grid APP / E-power assistant. At the same time, the customer's new installation and capacity increase low-voltage electricity metering installation and acceptance form and the new installation and capacity increase power supply form are pushed to the online State Grid, and the customer signs and confirms online;

[0037] Among them, the electronic file security management unit is used to utilize the authentication, filing and electronic signature of an authorized agency with authority and credibility, and to ensure the security and reliability of the electronic signature through secure electronic authentication with the CA center; through integration with blockchain platform services, the work order information, business documents, electricity supply and use contracts and other content data generated by the electricity application and installation business can be uploaded to the chain, thereby improving the accuracy and security of customer file information.

[0038] Among them, in order to better present the business process of multi-dimensional analysis of existing user files based on power image recognition, a multi-dimensional analysis method of existing user files based on power image recognition is also provided, including the following steps:

[0039] Step S1: Through the power image recognition technology and document electronicization technology, the image file structured data recognition, parsing and analysis are performed on the electricity consumption data manually uploaded, photographed and uploaded or collected by the user, and the functions of the new installation, capacity increase, meter connection and information archiving of low-voltage residents / non-residents are optimized; based on the electronic image recognition service engine, the existing customer file data is verified through the customer file data verification task management, and related functions are verified with the file data; customer business documents are managed, and online preview and printing of electronic document files are supported. All kinds of recognition templates are managed in a unified manner, and image recognition and parsing services are optimized based on the OCR recognition engine and recognition template management service;

[0040] Step S2: Intelligently review the application information when applying for power business and notify the user. At the same time, intelligently check and verify the compliance of the power supply and use contract and the archive documents. Obtain customer certificate information through various terminals and automatically fill it into the corresponding business information; by improving the new installation function of residential areas, automatically generate the residential area archive information to be archived when the community supporting new installation information is archived, establish the association between residential area archives and users, and realize the maintenance of unstructured archive materials in residential areas;

[0041] S3: Optimize and transform the online State Grid low-voltage residential and low-voltage non-residential new installation and capacity increase functions, and high-voltage new installation and capacity increase functions, enable the i State Grid app mobile terminal to obtain marketing work order information, complete on-site surveys, and automatically generate "Site Survey Forms" based on document templates, and transmit them back to the marketing system to optimize the process; optimize and transform the online State Grid low-voltage residential and low-voltage non-residential business acceptance and meter installation and power connection functions, and realize the customer electricity registration form, electricity business notice, and electronic commitment letter to generate PDF documents with customer signatures and pass them to customers through the online State Grid APP / E-Assistant. At the same time, the customer's new installation and capacity increase "Low-voltage Electricity Metering Installation and Acceptance Form" and "New Installation (Increase) Power Delivery Form" are pushed to the online State Grid, and customers sign and confirm online;

[0042] Step S4: Utilize the certification and electronic signature of an authorized authority with authority and credibility, and ensure the security and reliability of the electronic signature by connecting with the CA center for secure electronic certification. By integrating with blockchain platform services, the work order information, business documents, power supply and use contracts and other content data generated by the power application and installation business can be uploaded to the chain, thereby improving the accuracy and security of customer file information.

[0043] Preferably, the customer file digitization unit includes a file digitization process management module, a file sorting rule module, a power application information collection module, an image recognition module, a low-voltage residential new installation and capacity expansion module, a customer file image query module, and a low-voltage non-residential new installation and capacity expansion module;

[0044] The archive digitization process management module is used to build a data protection mechanism for the image information library, establish a review and approval process, and open the access rights of the image information library after approval by the superior; comprehensively monitor and record the access content and operation process during the image information review process, monitor the review content, and protect the security of user image data information;

[0045] The file arrangement rule module is used to formulate file arrangement rules to facilitate file arrangement;

[0046] Among them, the electricity application information collection module is used to support the electricity application information manually uploaded or photographed by users, and realize automatic classification and intelligent storage of electricity application information based on image recognition technology and classifier management functions; it provides image recognition functions for the corresponding links of the low-voltage non-residential new installation and capacity increase and low-voltage residential new installation and capacity increase business processes, completes the collection and archiving of electricity application information, and realizes the intelligent collection, classification and storage of customers' electricity business licenses, identity cards, real estate certificate information, etc.;

[0047] The image recognition module is used to carry out structured data recognition and analysis, data storage for the uploaded power consumption data attachments, and supports query and display of structured data information of the currently recognized power consumption data;

[0048] The customer file image query module is used to store and extract structured data based on the OCR recognition engine of the artificial intelligence service platform, and to query customer file image information through the image name, text information keywords, and index relationships. The customer file contains keywords for querying image files such as business licenses, identity cards, and real estate certificates;

[0049] Among them, the low-voltage residential new installation capacity expansion module is used to optimize the low-voltage residential new installation capacity expansion meter installation and power connection;

[0050] Among them, the low-voltage non-residential new installation capacity expansion module is used to optimize the low-voltage non-residential new installation capacity expansion meter installation and power connection.

[0051] Preferably, the archive digitization business application unit includes an intelligent module for business expansion application review, a power supply contract compliance verification module, an intelligent verification module for business expansion archive documents, a key project memorandum management module, an automatic filling module for customer certificate information flow, and an automatic call module for historical archives;

[0052] Among them, the intelligent module for business expansion application review is used to be based on the online acceptance channel. When reviewing the pre-acceptance work order, the automatic review engine intervenes, and through image classification and OCR information reading, the user's application information and application materials are processed one by one according to the review rules. If each review rule is passed, the application is passed, and a formal work order is automatically generated and the user is notified. If the automatic review fails, it is transferred to manual processing, and the staff will contact the customer to supplement the application information, application materials or cancel the application;

[0053] Among them, the power supply contract compliance verification module is used to check whether the contract text information is correct when drafting the contract, and to check whether the contract content is compliant when approving the contract. After the contract is drafted, the key information in the contract is extracted and the contract information is reviewed item by item according to the rule library; after the contract is signed, the contract information is reviewed item by item again according to the rule library, and it is checked whether the contract is stamped and whether the signing time is correct;

[0054] Among them, the business expansion file document intelligent verification module is used to establish a business expansion file document intelligent verification rule library based on the customer's business expansion application information, to verify whether the business expansion file document is filled out in a standardized and complete manner, whether the stamps are complete, whether the system information is consistent with the paper information and the site, whether the time or signature of the business expansion file information is not filled in or arbitrarily altered, whether there is only one person signing at the key link, etc., to support the online query and display of business expansion file document anomalies, and at the same time, to conduct comprehensive statistics and analysis according to dimensions such as time, unit, and customer type to determine whether the content in the business file document is filled in incorrectly, and whether the key information of capacity and time is inconsistent;

[0055] Among them, the key project memorabilia management module is used to add key project memorabilia management functions to support the power supply company's maintenance of key project memorabilia, mainly including the functions of adding, deleting, querying and displaying key project memorabilia;

[0056] Among them, the customer certificate information process automatic filling module is used to fill in the customer certificate information process information automatically; when handling business through mobile terminals, business hall windows, self-service acceptance terminals and other channels, OCR recognition technology is used to automatically identify various certificate information provided by customers, obtain relevant customer information, and automatically fill it into the corresponding business information, so as to realize the rapid filling of information and facilitate the rapid handling of business by account managers. At the same time, the State Grid pops up relevant prompts for new users' certificates online, fully supporting the coverage of user certificate information;

[0057] Among them, the historical archive automatic call module is used to intelligently obtain archive data. When handling some business, it can obtain user electricity application information from various channels (including but not limited to government affairs, online State Grid, historical certificates) based on user basic information, thereby improving electricity application efficiency. For example, when handling name change and transfer business, it is necessary to call existing certificate information.

[0058] Specifically, the business expansion application is intelligently reviewed through the business expansion application review intelligent module. During the review, the business expansion file document intelligent verification rule library is established according to the customer's business expansion application information through the business expansion file document intelligent verification module; the file data is intelligently obtained through the historical file automatic call module, and the customer certificate information process information is automatically filled in through the customer certificate information process automatic filling module. When handling business through mobile terminals, business hall windows, self-service acceptance terminals and other channels, OCR recognition technology is applied to automatically identify various certificate information provided by customers, obtain relevant customer information, and Automatically fill in the corresponding business information to realize fast filling of data information, which is convenient for customer managers to quickly handle business; when handling business, manage key project events through the key project event management module to support the power supply company's maintenance of key project events; check whether the contract text information is correct through the power supply contract compliance verification module, and verify whether the contract content is compliant during contract approval. After the contract is drafted, extract the key information in the contract and review the contract information item by item according to the rule library; after the contract is signed, review the contract information item by item again according to the rule library, and check whether the contract is stamped and the signing time is correct.

[0059] Preferably, the residential area archive maintenance and management unit includes a community supporting new installation archive optimization module, a residential area archive merging module, and a low-voltage batch new installation archive optimization module;

[0060] The community supporting new installation archiving optimization module is used to automatically generate residential area archive information to be archived when archiving community supporting new installation information, including community supporting building information, community supporting residential information, community supporting public building information, user application load information, and access power receiving equipment load information;

[0061] Among them, the residential area archive merging module is used to support the establishment of an association relationship between the residential area archive to be archived and the existing residential area archive, because there is no association relationship between the community supporting new installation process and the residential area archive, and the residential area archive archived through the community new installation process may be repeated with the existing archive, so as to realize the archive merging function;

[0062] Among them, the low-voltage batch new installation archiving optimization module is used to establish the association relationship between the residential area archive and the user when archiving the low-voltage batch new installation process, and the user's meter box meter information is archived into the residential area archive information.

[0063] Among them, the association relationship between residential area archives and users is established through the low-voltage batch new installation archiving optimization module and archived in the residential area archive information. When there is no association relationship between the community supporting new installation process and the residential area archive, the residential area archive merging module supports the establishment of an association relationship between the residential area archives to be archived and the existing residential area archives, thereby realizing the archive merging function; after the archive is archived, the residential area archive information to be archived is automatically generated through the community supporting new installation archiving optimization module.

[0064] Preferably, the customer file digital analysis unit includes an overview module of the monitoring results of the normativeness of the electricity address, a unit address abnormality distribution module, an analysis module of the causes of abnormality of the electricity address, an analysis module of abnormal certificates, an overview module of the monitoring results of the consistency of the metering and collection files, an abnormal distribution module of the unit design drawings, an overview module of the monitoring results of the normativeness of the electricity supply and use contract, an overview module of the verification results of the electricity collection materials, a unit abnormal distribution module, an abnormal material type distribution module, and an abnormal distribution module of the unit metering and collection files;

[0065] Among them, the electricity address normative monitoring result overview module is used to verify the inconsistency between the customer's electricity address information and the address information in different property certificates and business license documents from the perspective of inconsistent address information, missing address information, etc., including the verification date, the total number of verified users, the total number of users with abnormal addresses, the total number of verified abnormal items, and the abnormal rate of verified items; the summary record supports drilling down to query the details of the verification record;

[0066] Among them, the unit address abnormal distribution module is used to use bar charts and line charts to reflect the abnormal situation of certificate verification of the direct subordinate units of the registrant, including the number of abnormal certificates of the unit, the abnormal rate of the unit, etc.; it supports detailed data drill-down query, reflects the abnormal composition of the verified certificates by user type (low-voltage user documents, high-voltage users, low-voltage non-residential, distributed power sources, etc.), and locates the user types with high incidence of certificate abnormalities;

[0067] Among them, the power usage address abnormality cause analysis module is used to display the overall abnormality rate change of power usage address information verification in the form of a trend chart, including: inconsistent address information, missing address information, etc., support trend change screening according to different address levels, and support detailed information drill-down query;

[0068] Among them, the certificate abnormality analysis module is used to monitor the distribution analysis of certificate abnormality reasons in the form of pie charts, including: inconsistent certificate names, expired validity period, missing necessary certificates, wrong certificate types, etc.; it displays the changes in the overall abnormality rate of certificate information verification, supports trend change screening according to different types of certificates, and detailed information drilling query;

[0069] Among them, the overview module of the consistent monitoring results of the metering collection archive is used to parse the relevant metering archive data from the installation and disassembly orders, power supply plan reply sheets and other documents, and check the information inconsistent with the system structured information, including the verification date, the total number of verified users, the total number of abnormal users of metering archives, the total number of abnormal verification items, and the abnormal rate of verification items; the summary records support drilling down to query the details of the verification records;

[0070] Among them, the unit design drawing abnormality distribution module is used to display the overall abnormality rate change of design drawing information verification in the form of a trend chart, support trend change screening according to different time intervals, and support detailed information drill-down query;

[0071] Among them, the power supply and use contract standard monitoring result overview module is used to parse relevant information in the power supply and use contract documents, and verify the compliance of relevant key information from aspects such as power supply and use contract expiration, power supply and use contract failure, and power supply and use contract status not matching user status, including verification date, total number of verified users, total number of abnormal users in Er Hutong, total number of abnormal verification items, and abnormal rate of verification items; the abnormal situation of power supply and use contract verification of the direct subordinate units of the registrant is reflected in the form of bar graphs and line graphs; the abnormal composition of the verified metering files is reflected by user type (low-voltage user documents, high-voltage users, low-voltage non-residential, distributed power sources, etc.), and the user types with high incidence of power supply and use contract abnormalities are located;

[0072] Among them, the summary module of the verification results of the electricity collection materials is used to verify the consistency of the electricity collection materials from aspects such as the material name, material type, and consistency of key fields, including the verification date, the total number of verified users, the total number of users with abnormal materials, the user abnormality rate, the total number of verified materials, the total number of abnormal materials, the material abnormality rate, the total number of verification items, and the total number of verification abnormal items; the summary records support drilling down to query the verification record details;

[0073] The unit abnormality distribution module is used to display the abnormality profile of the verification of the direct subordinate units of the registrant in the form of bar charts and line charts, including the number of abnormal data of the unit and the rate of abnormal data of the unit;

[0074] The abnormal material type distribution module is used to monitor the distribution of abnormal certificate types in the form of a pie chart, such as on-site inspection form, power supply reply form, power receiving engineering form, power consumption information registration form, etc. It supports detailed information drilling query;

[0075] Among them, the unit metering collection file abnormal distribution module is used to monitor the distribution analysis of abnormal causes of electricity consumption addresses in the form of pie charts, including: incorrect wiring method of metering points, abnormal metering method, abnormal contract capacity, abnormal transformer loss calculation method, abnormal power grid resource relationship, abnormal meter relationship, etc.; supports detailed data drill-down query; supports trend change screening according to different metering file types (transformers, metering points, electricity meters, collection relationships, etc.), and supports detailed information drill-down query.

[0076] Specifically, the electricity usage address normative monitoring result overview module is used to check the inconsistency between the customer's electricity usage address information and the address information in different property rights certificates and business license documents. When anomalies are found, the unit address abnormality distribution module is used to reflect the abnormality overview of the document verification of the direct subordinate unit to which the registrant belongs; the electricity usage address abnormality cause analysis module is used to display the overall abnormality rate changes in the electricity usage address information verification; the document abnormality analysis module is used to monitor the distribution analysis of the causes of document abnormalities; the metering collection archive consistency monitoring result overview module is used to summarize the records and support drill-down verification record details query; the unit design drawing abnormality distribution module is used to display the overall abnormality rate changes in the design drawing information verification; the electricity supply and use contract normative monitoring result overview module is used to parse relevant information; the electricity application and fund collection material verification result overview module is used to summarize the records and support drill-down verification record details query; the unit abnormality distribution module is used to reflect the abnormality overview of the verification of the direct subordinate unit to which the registrant belongs; the abnormal material type distribution module is used to monitor the abnormal document type distribution; the unit metering collection archive abnormality distribution module is used to monitor the distribution analysis of the causes of electricity usage address abnormalities.

[0077] Preferably, the customer archive public support management unit includes a business document management module, a classifier management module, a certificate form recognition service encapsulation module, a graphic and text mixed template module, a table template module, a low-voltage document form recognition service encapsulation module, a high-voltage document form recognition service encapsulation module, a graphic element library management module, and an image recognition training module;

[0078] Among them, the business document management module is used to support the maintenance of business card document information, including document number, document name, document path, input parameter list, whether a seal is required, whether a signature is required, etc., supports querying card document information by document number and document name, and supports editing, deleting and online preview of card document information;

[0079] The classifier management module is used to classify and manage different types of files such as images, documents, and receipts. The classifier includes a primary classifier and a secondary classifier. The primary classifier provides a template type applicable to the identification material, and the secondary classifier provides a template applicable to the identification material.

[0080] Among them, the certificate form recognition service encapsulation module is used to encapsulate the recognition service of fixed-format certificate documents, including the following contents: PDF ID card recognition and analysis, business license recognition and analysis, household registration book recognition and analysis, organization code certificate recognition and analysis service, house ownership recognition and analysis service, state-owned land use certificate recognition and analysis service, collective land use certificate recognition and analysis service, etc.

[0081] The image-text hybrid template module is used to support the maintenance of image-text hybrid templates, identification areas, relative positions of identification areas, image processing methods, table processing methods, etc. It completes layout analysis based on PaddleDetection and divides images into different areas such as text, tables, and images. Tables are recognized by the table recognition model SLANet, texts are recognized by the OCR engine, and images are recognized by PaddleDetection.

[0082] Among them, the table template module is used to support the maintenance of template types for table layout templates, configure table template identification content information, including header information, whether it is the first level, sorting, etc., and support table file structured data identification, analysis and verification; this function supports adding, modifying, deleting and querying;

[0083] Among them, the low-voltage document form identification service encapsulation module is used to encapsulate and process the identification service of fixed-format files of low-voltage business documents; it mainly includes low-voltage on-site investigation form identification and analysis, customer power receiving project design document submission form identification and analysis, customer power receiving project design document review opinion form identification and analysis, customer power receiving project intermediate inspection report form identification and analysis, customer power receiving project intermediate inspection opinion form identification and analysis, customer power receiving project completion report form identification and analysis, customer power receiving project completion inspection opinion form identification and analysis, new installation (capacity increase) power supply form identification and analysis, customer electricity change (Class A) application form identification and analysis, customer electricity change (Class B) application form identification and analysis, name change application form identification and analysis, transfer application form identification and analysis, low-voltage residential electricity registration form analysis service, low-voltage non-residential electricity registration form analysis service and other identification.

[0084] Among them, the high-voltage document form recognition service encapsulation module is used to encapsulate the recognition service of the fixed-format file of the high-voltage business document, and based on the recognition template configuration management service, the incoming image file is first classified and recognized, and the application industry category, application electricity category, application power supply voltage, approved power capacity, power supply number, power supply nature, power supply location, property boundary point, metering point number, line, pole number and other information are output in the form of key values ​​according to the template configuration requirements;

[0085] The graphic element library management module is used to support the maintenance of graphic element component contents involved in the file of the design drawing, including graphic element components such as transformers;

[0086] Among them, the image recognition training module is used to apply the OCR recognition engine, through the recognition template rule configuration, based on the image recognition analysis model, to carry out image recognition for 30 sub-categories of image files in four major categories of files, namely, certificate documents, business documents, electronic contracts, and design drawings. The program and recognition standards are adjusted and corrected according to the recognition results. Each sub-category of image file is expected to be processed for about 2 days. Image recognition training is carried out based on image data collection of 30 categories of files.

[0087] Preferably, the i State Grid app function optimization unit includes a low-voltage residential new installation capacity expansion module, a low-voltage non-residential new installation capacity expansion module, and a high-voltage new installation capacity expansion module;

[0088] Among them, the low-voltage residential newly installed capacity expansion module is used for on-site investigation, meter installation and power connection;

[0089] Among them, the low-voltage non-residential newly installed capacity expansion module is used for door-to-door service, meter installation and power connection;

[0090] Among them, the newly installed high-voltage capacity expansion module is used for on-site investigation, intermediate inspection, final acceptance, installation and disassembly of metering equipment, and power transmission.

[0091] Preferably, the online state grid app function optimization unit includes a low-voltage residential new installation capacity expansion module and a low-voltage non-residential new installation capacity expansion module;

[0092] Among them, the low-voltage residential new installation and capacity increase module is used for the online State Grid low-voltage residential new installation and capacity increase business acceptance, and generates a PDF document containing the customer's signature for the low-voltage customer electricity registration form, electricity business notification, and electronic commitment letter. The PDF document is delivered to the customer through the online State Grid APP / E-Assistant for Electricity Management, and provides a document printing function. The marketing low-voltage residential new installation and capacity increase low-voltage electricity metering installation and acceptance orders and new installation and capacity increase power delivery orders are pushed to the online State Grid, supporting customers to sign and confirm online, and generating signed documents to be sent back to the marketing system;

[0093] Among them, the low-voltage non-residential new installation and capacity expansion module is used for the online State Grid low-voltage non-residential new installation and capacity expansion business acceptance, and generates a PDF document containing the customer's signature for the low-voltage customer electricity registration form, electricity business notification, and electronic commitment letter. The PDF document is delivered to the customer through the online State Grid APP / E-power assistant, and provides a document printing function. The marketing low-voltage non-residential new installation and capacity expansion low-voltage electricity metering installation acceptance order and the new installation and capacity expansion power delivery order are pushed to the online State Grid, supporting the customer's online signature confirmation, and generating a signed document and sending it back to the marketing system.

[0094] Preferably, the electronic archive security management unit includes an electronic signature module and a blockchain module;

[0095] The electronic signature module is used to provide third-party electronic signature filing and verification certification through secure electronic authentication with the CA center when it comes to low-voltage residential and low-voltage non-residential new installation and capacity increase services, to ensure the security and reliability of electronic signatures, effectively prevent sender denial and reduce the risk of loss and decryption of electronic signature production data;

[0096] Among them, the blockchain module is used to integrate with the blockchain platform service to realize the chain of content data such as work order information, business documents, electricity supply and use contracts generated by the electricity application business, and obtain customer application information through the relevant evidence query service of the blockchain platform, thereby improving the accuracy and security of customer file information.

[0097] Furthermore, in order to ensure the stable operation of the multi-dimensional analysis system of stock user profiles based on power image recognition, a communication network real-time monitoring and abnormal alarm unit is introduced in this embodiment. This unit is tightly integrated between the integration layer, business layer and service layer of the system, and aims to ensure smooth and efficient data transmission between various levels by continuously monitoring the status of the communication network.

[0098] Specifically, the first operating parameters of the communication network between the integration layer (including the online State Grid unit, i State Grid unit, State Grid OCR platform and State Grid blockchain platform), the business layer (covering multiple units such as customer archive digitization and archive digitization business applications) and the service layer (involving business hall staff, on-site personnel and electricity customers) are monitored in real time. Key parameters include the number of simultaneously active network connections per unit time, bandwidth utilization and data retransmission rate, which directly reflect the activity of network connections, resource utilization efficiency and data transmission reliability.

[0099] On this basis, these operating parameters are used to build a communication network operation anomaly evaluation model, and through algorithm analysis, potential problems in the network can be discovered in a timely manner. Once a network operation anomaly is detected, such as abnormal fluctuations in the number of connections, excessive bandwidth utilization, or a significant increase in the data retransmission rate, the system will immediately trigger a communication anomaly alarm so that the operation and maintenance personnel can quickly locate the problem and take corresponding measures to ensure unimpeded communication between all levels of the system, thereby ensuring the stable operation and efficient service of the entire multi-dimensional analysis system of stock user archives based on power image recognition.

[0100] The communication network real-time monitoring and abnormal alarm unit is used to monitor the communication network between the integration layer, the business layer and the service layer in real time to perform operation evaluation, and to issue a communication abnormality alarm when the operation is abnormal, including:

[0101] Real-time monitoring of first operating parameters of the communication network between the integration layer, the business layer, and the service layer, wherein the first operating parameters include the number of simultaneously active network connections per unit time, bandwidth utilization, and data retransmission rate;

[0102] The communication network operation abnormality evaluation parameter is obtained by using the number of simultaneously active network connections, bandwidth utilization and data retransmission rate corresponding to the unit time; wherein the communication network operation abnormality evaluation parameter is obtained by the following formula:

[0103] ;

[0104] in, E Indicates communication network operation abnormality evaluation parameters; C min Indicates the minimum number of simultaneously active network connections that have occurred during the monitoring process; C m Indicates the preset minimum number of network connections allowed during the operation of the communication network; n Indicates the number of unit times that the monitoring process has experienced; C i Indicates i The number of simultaneously active network connections per unit time; P i Indicates i Bandwidth utilization corresponding to unit time; P ci Indicates i The data retransmission rate corresponding to the unit time; ε Represents the minimum constant, used to prevent the denominator from being 0;

[0105] When the communication network operation abnormality evaluation parameter exceeds a preset first abnormality evaluation parameter threshold, the communication network is determined to be abnormal and an abnormality alarm is issued;

[0106] When the communication network operation abnormality evaluation parameter does not exceed the preset first abnormality evaluation parameter threshold, the second operation parameter of the communication network is retrieved, and the first operation parameter of the communication network is combined with the communication network operation abnormality evaluation parameter to perform a secondary judgment on the communication network abnormality.

[0107] The technical effect of the above technical solution is: the solution can monitor the operation status of the communication network between the integration layer, the business layer and the service layer in real time, and evaluate the operation status of the communication network in real time by collecting the first operation parameters (including the number of simultaneously active network connections per unit time, bandwidth utilization and data retransmission rate). By calculating the communication network operation abnormality evaluation parameter and comparing it with the preset first abnormality evaluation parameter threshold, when the evaluation parameter exceeds the threshold, the communication network abnormality can be quickly determined and an abnormal alarm can be issued. This helps to timely discover and handle network problems and reduce business interruptions or performance degradation caused by network abnormalities. When the communication network operation abnormality evaluation parameter does not exceed the first abnormality evaluation parameter threshold, the solution also provides a further judgment step, that is, to retrieve the second operation parameter of the communication network, and combine the first operation parameter and the communication network operation abnormality evaluation parameter for secondary judgment. This multi-level and refined judgment method helps to more accurately identify network abnormalities and avoid false alarms or missed reports. Through real-time monitoring and abnormal alarms, the solution helps to timely discover and handle potential problems in the network, thereby improving the stability and reliability of the network. This is of great significance for ensuring business continuity and improving user experience. By collecting and analyzing network operation parameters, the solution can also provide data support for the optimal configuration of network resources. For example, the network configuration can be adjusted to improve resource utilization efficiency based on information such as bandwidth utilization and data retransmission rate monitored in real time. In summary, the above technical solution effectively improves the stability and reliability of the communication network through real-time monitoring, anomaly detection and alarm, and refined judgment, while optimizing network resource configuration, providing a strong guarantee for the continuous operation of services and the improvement of user experience.

[0108] Further, when the communication network operation abnormality evaluation parameter does not exceed the preset first abnormality evaluation parameter threshold, the second operation parameter of the communication network is retrieved, and the first operation parameter of the communication network is combined with the communication network operation abnormality evaluation parameter to perform a secondary judgment on the communication network abnormality, including:

[0109] When the communication network operation abnormality evaluation parameter does not exceed the preset first abnormality evaluation parameter threshold, the second operation parameter of the communication network is retrieved, wherein the second operation parameter includes the data transmission delay, data transmission rate and throughput corresponding to each unit time;

[0110] An operation parameter matrix is ​​constructed using the data transmission delay, data transmission rate, and throughput corresponding to each unit time, wherein each row vector in the operation parameter matrix represents a second operation parameter corresponding to a unit time; and the structure of the operation parameter matrix is ​​as follows:

[0111] ;

[0112] in, M represents the operating parameter matrix; D ( t 1 )、 D ( t 2 )…… D ( t n ) indicates the 1st to n The length of data transmission delay corresponding to a unit of time; S ( t 1 )、 S ( t 2 )…… S ( t n ) indicates the 1st to n The data transmission rate corresponding to a unit of time; T ( t 1 )、 T ( t 2 )…… T ( t n ) indicates the 1st to n The throughput corresponding to the unit time;

[0113] Obtaining a module corresponding to the operating parameter matrix according to the operating parameter matrix;

[0114] Obtaining the modulus corresponding to each row vector according to each row vector corresponding to the operation parameter matrix;

[0115] The secondary abnormality evaluation parameter is obtained by using the modulus corresponding to the operation parameter matrix, the modulus corresponding to each row vector corresponding to the operation parameter matrix, and the communication network operation abnormality evaluation parameter, wherein the secondary abnormality evaluation parameter is obtained by the following formula:

[0116] ;

[0117] in, E se represents the secondary anomaly evaluation parameter; E Indicates communication network operation abnormality evaluation parameters; Indicates the module corresponding to the operating parameter matrix; and Represents the maximum and minimum values ​​of the magnitude in the row vector; represents the average value of the magnitudes in the row vector;

[0118] comparing the secondary abnormality evaluation parameter with a preset second abnormality evaluation parameter threshold;

[0119] When the secondary abnormality evaluation parameter exceeds a preset second abnormality evaluation parameter threshold, the communication network is determined to be abnormal and an abnormality alarm is issued.

[0120] The technical effect of the above technical solution is: by introducing the second operating parameters (data transmission delay, data transmission rate and throughput) and constructing the operating parameter matrix, the solution can more comprehensively evaluate the operating status of the communication network. This helps to more accurately identify potential network anomalies through secondary judgment when the first abnormal evaluation does not trigger an alarm. Using the operating parameter matrix and its corresponding modulus, as well as the modulus corresponding to each row vector, combined with the communication network operation abnormal evaluation parameters, the solution can calculate the secondary abnormal evaluation parameters. This multi-dimensional data analysis method improves the sensitivity of anomaly detection and helps to timely discover and handle subtle anomalies in the network. Avoid false alarms and missed alarms: Through two abnormal judgments (the first one is based on the first operating parameter, and the second one is based on the second operating parameter and the first judgment result), the solution can effectively reduce false alarms and missed alarms. This ensures the accuracy and reliability of network abnormality alarms. Real-time monitoring and analysis of the second operating parameters of network communications helps network administrators better understand the performance of the network, thereby formulating more effective network optimization strategies. This is of great significance for improving network performance, reducing latency, and increasing transmission rate and throughput. By timely discovering and handling network anomalies, the solution can reduce service interruptions or performance degradation caused by network problems, thereby improving user experience satisfaction. This is crucial for various applications and services that rely on network communications. In summary, the above technical solution effectively enhances the accuracy and sensitivity of anomaly detection by introducing a second operating parameter, building an operating parameter matrix, and performing secondary anomaly judgment, avoiding false positives and false negatives, optimizing network performance management, and improving user experience. This is of great significance for ensuring the stability and reliability of network communications.

[0121] Finally, it should be noted that the above embodiments are only used to illustrate and explain the present invention, and are not intended to limit the present invention to the scope of the described embodiments. In addition, those skilled in the art can understand that the present invention is not limited to the above embodiments, and more variations and modifications can be made according to the teachings of the present invention, and these variations and modifications all fall within the scope of the protection claimed by the present invention.

Claims

1. A multi-dimensional analysis system for stock user profiles based on power image recognition, characterized in that: Includes integration layer, business layer and service layer; The integration layer includes the online State Grid app unit, the i State Grid app unit, the State Grid OCR platform and the State Grid blockchain platform, which are used to provide data support for the business layer; The business layer includes a customer file digitization unit, a file digitization business application unit, a residential area file maintenance management unit, a customer file digitization analysis unit, a customer file public support management unit, an i State Grid app function optimization unit, an online State Grid app function optimization unit and an electronic file security management unit, which are used to provide business support for the service layer; The service layer is used to provide services to business hall staff, on-site personnel and electricity customers; The customer file digitization unit is used to identify, parse and analyze the image file structured data of the electricity consumption data manually uploaded, photographed and uploaded or collected by the user; The digital archive business application unit is used to intelligently review the application information when applying for power business and notify the user. At the same time, it intelligently checks and verifies the compliance of the power supply and use contract and the archive documents. It obtains customer certificate information through various terminals and automatically fills it into the corresponding business information. The residential area archive maintenance and management unit is used to improve the residential area new installation function, automatically generate residential area archive information to be archived when the community supporting new installation information is archived, establish the association between residential area archives and users, and realize the maintenance of unstructured archive data of residential areas; Among them, the customer file digital analysis unit is used to carry out the verification of the existing customer file data through the customer file data verification task management based on the electronic image recognition service engine, and to verify related functions with the file data; Among them, the customer archive public support management unit is used to manage customer business documents, support online preview and printing of electronic documents, and manage various recognition templates in a unified manner. Based on the OCR recognition engine and recognition template management service, it optimizes the image recognition and analysis service. Among them, the i State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential new installation capacity increase, high-voltage new installation capacity increase functions, and enable the i State Grid app mobile terminal to obtain marketing side work order information, complete on-site investigation work, and automatically generate on-site investigation orders based on document templates, and transmit them back to the marketing system; Among them, the online State Grid app function optimization unit is used to optimize and transform the online State Grid low-voltage residential and low-voltage non-residential business acceptance and meter installation and power connection functions, so as to realize the customer electricity registration form, electricity business notification, and electronic commitment letter to generate PDF documents with customer signatures and pass them to customers through the online State Grid APP / E-power assistant. At the same time, the customer's new installation and capacity increase low-voltage electricity metering installation and acceptance form and the new installation and capacity increase power supply form are pushed to the online State Grid, and the customer signs and confirms online; Among them, the electronic file security management unit is used to utilize the authentication and filing and electronic signature of the authorized agency with authority and credibility, and to connect with the CA center for secure electronic authentication; through integration with the blockchain platform service, the work order information, business documents, and power supply and use contract content data generated by the power application and installation business can be uploaded to the chain.

2. According to claim 1, a multi-dimensional analysis system for stock user profiles based on power image recognition is characterized in that: The customer file digitization unit includes a file digitization process management module, a file sorting rule module, a power application information collection module, an image recognition module, a low-voltage residential new installation and capacity expansion module, a customer file image query module, and a low-voltage non-residential new installation and capacity expansion module; The archive digitization process management module is used to build a data protection mechanism for the image information library, establish a review and approval process, and open the access rights of the image information library after approval by the superior; comprehensively monitor and record the access content and operation process during the image information review process, monitor the review content, and protect the security of user image data information; The file arrangement rule module is used to formulate file arrangement rules to facilitate file arrangement; Among them, the electricity application information collection module is used to support the electricity application information manually uploaded or photographed by users, and realize automatic classification and intelligent storage of electricity application information based on image recognition technology and classifier management functions; it provides image recognition functions for the corresponding links of the low-voltage non-residential new installation and capacity increase and low-voltage residential new installation and capacity increase business processes, completes the collection and archiving of electricity application information, and realizes the intelligent collection, classification and storage of customers' electricity business licenses, identity cards, and real estate ownership certificates; The image recognition module is used to carry out structured data recognition and analysis, data storage for the uploaded power consumption data attachments, and supports query and display of structured data information of the currently recognized power consumption data; Among them, the customer file image query module is used to store and extract structured data based on the OCR recognition engine of the artificial intelligence service platform, and to query the customer file image information through the image name, text information keywords, and index relationship. The customer file contains the query of keywords for the image files of business licenses, identity cards, and real estate certificates; Among them, the low-voltage residential new installation capacity expansion module is used to optimize the low-voltage residential new installation capacity expansion meter installation and power connection; Among them, the low-voltage non-residential new installation capacity expansion module is used to optimize the low-voltage non-residential new installation capacity expansion meter installation and power connection.

3. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 2 is characterized in that: The archive digitization business application unit includes an intelligent module for business expansion application review, a power supply contract compliance verification module, an intelligent verification module for business expansion archive documents, a key project event management module, an automatic filling module for customer certificate information flow, and an automatic call module for historical archives; Among them, the intelligent module for business expansion application review is used to be based on the online acceptance channel. When reviewing the pre-acceptance work order, the automatic review engine intervenes, and through image classification and OCR information reading, the user's application information and application materials are processed one by one according to the review rules. If each review rule is passed, the application is passed, and a formal work order is automatically generated and the user is notified. If the automatic review fails, it is transferred to manual processing, and the staff will contact the customer to supplement the application information, application materials or cancel the application; Among them, the power supply contract compliance verification module is used to check whether the contract text information is correct when drafting the contract, and to check whether the contract content is compliant when approving the contract. After the contract is drafted, the key information in the contract is extracted and the contract information is reviewed item by item according to the rule library; after the contract is signed, the contract information is reviewed item by item again according to the rule library, and it is checked whether the contract is stamped and whether the signing time is correct; Among them, the business expansion file document intelligent verification module is used to establish a business expansion file document intelligent verification rule library based on the customer's business expansion application information, to verify whether the business expansion file document is filled out in a standardized and complete manner, whether the stamps are complete, whether the system information is consistent with the paper information and the site, whether the time or signature of the business expansion file information is not filled in or arbitrarily altered, whether only one person has signed the key link, and to support the online query and display of business expansion file document anomalies. At the same time, whether the content in the business file document is filled in incorrectly, and whether the key information of capacity and time is inconsistent, comprehensive statistics and analysis are carried out according to the dimensions of time, unit, and customer type; Among them, the key project memorabilia management module is used to add key project memorabilia management functions to support the power supply company's maintenance of key project memorabilia; Among them, the customer certificate information process automatic filling module is used to fill in the customer certificate information process information automatically; when handling business through mobile terminals, business hall windows, and self-service acceptance terminals, OCR recognition technology is applied to automatically identify various certificate information provided by customers, obtain relevant customer information, and automatically fill it into the corresponding business information, so as to realize the rapid filling of information and facilitate the rapid handling of business by customer managers; at the same time, the State Grid pops up certificate-related prompts for newly added users online, fully supporting the coverage of user certificate information; Among them, the historical archive automatic calling module is used to intelligently obtain archive data. When handling some businesses, it can obtain user electricity application information from various channels based on user basic information.

4. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 3 is characterized in that: The residential area archive maintenance and management unit includes a community supporting new installation archive optimization module, a residential area archive merging module, and a low-voltage batch new installation archive optimization module; The community supporting new installation archiving optimization module is used to automatically generate residential area archive information to be archived when archiving community supporting new installation information, including community supporting building information, community supporting residential information, community supporting public building information, user application load information, and access power receiving equipment load information; Among them, the residential area archive merging module is used to support the establishment of an association relationship between the residential area archive to be archived and the existing residential area archive, because there is no association relationship between the community supporting new installation process and the residential area archive, and the residential area archive archived through the community new installation process may be repeated with the existing archive, so as to realize the archive merging function; Among them, the low-voltage batch new installation archiving optimization module is used to establish the association relationship between the residential area archive and the user when archiving the low-voltage batch new installation process, and the user's meter box meter information is archived into the residential area archive information.

5. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 4 is characterized in that: The customer file digital analysis unit includes an overview module of the monitoring results of the normativeness of the electricity address, a unit address abnormality distribution module, an analysis module of the causes of abnormality of the electricity address, an analysis module of abnormal certificates, an overview module of the monitoring results of the consistent measurement and collection files, an abnormal distribution module of the unit design drawings, an overview module of the monitoring results of the normativeness of the electricity supply and use contract, an overview module of the verification results of the materials for electricity collection and payment, a unit abnormal distribution module, an abnormal material type distribution module, and an abnormal distribution module of the unit measurement and collection files; Among them, the overview module of the normative monitoring results of electricity usage addresses is used to verify the inconsistency between the customer's electricity usage address information and the address information in different property certificates and business license documents, including the verification date, the total number of verified users, the total number of users with abnormal addresses, the total number of verified abnormal items, and the abnormal rate of verified items; the summary records support drilling down to query the details of the verification records; Among them, the unit address anomaly distribution module is used to use bar charts and line charts to reflect the abnormal situation of certificate verification of the direct subordinate units of the registrant; it supports detailed data drill-down query, reflects the abnormal composition of the verified certificates by user type, and locates the user type with high incidence of certificate anomalies; Among them, the power usage address abnormality cause analysis module is used to display the overall abnormality rate change of power usage address information verification in the form of a trend chart, support trend change screening according to different address levels, and support detailed information drill-down query; The certificate anomaly analysis module is used to monitor the distribution analysis of certificate anomaly causes in the form of a pie chart; display the changes in the overall anomaly rate of certificate information verification, and support trend change screening and detailed information drilling query according to different types of certificates; Among them, the metering collection file consistent monitoring result overview module is used to parse the relevant metering file data and check the inconsistent information with the system structured information, including the verification date, the total number of verified users, the total number of abnormal metering file users, the total number of abnormal verification items, and the abnormal rate of verification items; the summary record supports drilling down the verification record details query; Among them, the unit design drawing abnormality distribution module is used to display the overall abnormality rate change of design drawing information verification in the form of a trend chart, support trend change screening according to different time intervals, and support detailed information drill-down query; Among them, the power supply and use contract standard monitoring result overview module is used to parse relevant information in the power supply and use contract documents and verify the compliance of relevant key information, including the verification date, the total number of verified users, the total number of abnormal users in Er Hutong, the total number of abnormal items verified, and the abnormal rate of the verification items; the abnormal situation of the power supply and use contract verification of the direct subordinate units of the registrant is reflected in the form of bar charts and line charts; the abnormal composition of the metering files verified is reflected by user type, and the user type with high incidence of abnormal power supply and use contracts is located; Among them, the summary module of the verification results of the electricity collection materials is used to verify the consistency of the electricity collection materials, including the verification date, the total number of verified users, the total number of users with abnormal data, the user abnormality rate, the total number of verified data, the total number of abnormal data, the data abnormality rate, the total number of verification items, and the total number of verification abnormal items; the summary record supports drilling down the verification record details query; The unit abnormality distribution module is used to display the abnormality profile of the verification of the direct subordinate units of the registrant in the form of bar charts and line charts, including the number of abnormal data of the unit and the rate of abnormal data of the unit; The abnormal material type distribution module is used to monitor the distribution of abnormal certificate types in the form of a pie chart and supports drill-down query of detailed information; Among them, the unit metering collection file abnormal distribution module is used to monitor the distribution analysis of abnormal causes of electricity consumption addresses in the form of pie charts; supports detailed data drill-down queries; supports trend change screening according to different metering file types, and supports detailed information drill-down queries.

6. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 5 is characterized in that: The customer archive public support management unit includes a business document management module, a classifier management module, a certificate form recognition service encapsulation module, a graphic and text mixed template module, a table template module, a low-voltage document form recognition service encapsulation module, a high-voltage document form recognition service encapsulation module, a graphic element library management module, and an image recognition training module; The business document management module is used to support the maintenance of business card document information, support querying card document information by document number and document name, and support editing, deleting and online previewing of card document information; The classifier management module is used to classify and manage different types of files. The classifier includes a primary classifier and a secondary classifier. The primary classifier provides a template type applicable to the identification material, and the secondary classifier provides a template applicable to the identification material. The certificate form recognition service encapsulation module is used to encapsulate the recognition service of the fixed format file of the certificate file; The image-text hybrid template module is used to support the maintenance of image-text hybrid templates, identification areas, relative positions of identification areas, image processing methods, and table processing methods. It completes layout analysis based on PaddleDetection and divides images into different areas of text, table, and image. Tables are recognized by the table recognition model SLANet, texts are recognized by the OCR engine, and images are recognized by PaddleDetection. The form template module is used to support the maintenance of template types for form layout templates, configure form template identification content information, and support the identification, analysis and verification of structured data in form files; this function supports adding, modifying, deleting and querying; The low-voltage document form recognition service encapsulation module is used to encapsulate the recognition service of the fixed-format file of the low-voltage business document; Among them, the high-voltage document form recognition service encapsulation module is used to encapsulate the recognition service of the fixed-format file of the high-voltage business document, and based on the recognition template configuration management service, the incoming image file is first classified and recognized, and the application industry category, application electricity category, application power supply voltage, approved power capacity, power supply number, power supply nature, power supply location, property boundary point, metering point number, line, and pole number information are output in the form of key values ​​according to the template configuration requirements; The graphic element library management module is used to support the maintenance of graphic element component contents involved in the file of the design drawing; Among them, the image recognition training module is used to apply the OCR recognition engine, configure the recognition template rules, and carry out image recognition for 30 small categories of image files in four major categories of documents, namely, certificate documents, business documents, electronic contracts, and design drawings, based on the image recognition analysis model. The program and recognition standards are adjusted and corrected according to the recognition results. Image recognition training is carried out based on 30 categories of files collected based on image data.

7. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 6 is characterized in that: The i State Grid app function optimization unit includes a low-voltage residential new installation capacity expansion module, a low-voltage non-residential new installation capacity expansion module, and a high-voltage new installation capacity expansion module; Among them, the low-voltage residential newly installed capacity expansion module is used for on-site investigation, meter installation and power connection; Among them, the low-voltage non-residential newly installed capacity expansion module is used for door-to-door service, meter installation and power connection; Among them, the newly installed high-voltage capacity expansion module is used for on-site investigation, intermediate inspection, final acceptance, installation and disassembly of metering equipment, and power transmission.

8. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 7 is characterized in that: The online state grid app function optimization unit includes a low-voltage residential new installation capacity expansion module and a low-voltage non-residential new installation capacity expansion module; Among them, the low-voltage residential new installation and capacity increase module is used for the online State Grid low-voltage residential new installation and capacity increase business acceptance, and generates a PDF document containing the customer's signature for the low-voltage customer electricity registration form, electricity business notification, and electronic commitment letter. The PDF document is delivered to the customer through the online State Grid APP / E-Assistant for Electricity Management, and provides a document printing function. The marketing low-voltage residential new installation and capacity increase low-voltage electricity metering installation and acceptance orders and new installation and capacity increase power delivery orders are pushed to the online State Grid, supporting customers to sign and confirm online, and generating signed documents to be sent back to the marketing system; Among them, the low-voltage non-residential new installation and capacity expansion module is used for the online State Grid low-voltage non-residential new installation and capacity expansion business acceptance, and generates a PDF document containing the customer's signature for the low-voltage customer electricity registration form, electricity business notification, and electronic commitment letter. The PDF document is delivered to the customer through the online State Grid APP / E-power assistant, and provides a document printing function. The marketing low-voltage non-residential new installation and capacity expansion low-voltage electricity metering installation acceptance order and the new installation and capacity expansion power delivery order are pushed to the online State Grid, supporting the customer's online signature confirmation, and generating a signed document and sending it back to the marketing system.

9. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 8 is characterized in that: The electronic archive security management unit includes an electronic signature module and a blockchain module; The electronic signature module is used to provide third-party electronic signature filing and verification certification when it comes to low-voltage residential and low-voltage non-residential new installation and capacity increase services through secure electronic authentication with the CA center; Among them, the blockchain module is used to integrate with the blockchain platform service to realize the chain of work order information, business documents, and power supply and use contract content data generated by the electricity application business, and obtain customer application information through the relevant evidence query service of the blockchain platform.

10. The multi-dimensional analysis system for stock user profiles based on power image recognition according to claim 9 is characterized in that: The system further includes a communication network real-time monitoring and abnormal alarm unit; the communication network real-time monitoring and abnormal alarm unit is used to monitor the communication network between the integration layer, the business layer and the service layer in real time to perform operation evaluation, and to perform communication abnormality alarm when the operation is abnormal, including: Real-time monitoring of first operating parameters of the communication network between the integration layer, the business layer, and the service layer, wherein the first operating parameters include the number of simultaneously active network connections per unit time, bandwidth utilization, and data retransmission rate; The communication network operation abnormality evaluation parameter is obtained by using the number of simultaneously active network connections, bandwidth utilization and data retransmission rate corresponding to the unit time; wherein the communication network operation abnormality evaluation parameter is obtained by the following formula: ； in, E Indicates communication network operation abnormality evaluation parameters; C min Indicates the minimum number of simultaneously active network connections that have occurred during the monitoring process; C m Indicates the preset minimum number of network connections allowed during the operation of the communication network; n Indicates the number of unit time that the monitoring process has experienced; C i Indicates i The number of simultaneously active network connections per unit time; P i Indicates i Bandwidth utilization corresponding to unit time; P ci Indicates i The data retransmission rate corresponding to the unit time; ε Represents the minimum constant, used to prevent the denominator from being 0; When the communication network operation abnormality evaluation parameter exceeds a preset first abnormality evaluation parameter threshold, the communication network is determined to be abnormal and an abnormality alarm is issued; When the communication network operation abnormality evaluation parameter does not exceed the preset first abnormality evaluation parameter threshold, the second operation parameter of the communication network is retrieved, and the first operation parameter of the communication network is combined with the communication network operation abnormality evaluation parameter to perform a secondary judgment on the communication network abnormality, including: When the communication network operation abnormality evaluation parameter does not exceed the preset first abnormality evaluation parameter threshold, the second operation parameter of the communication network is retrieved, wherein the second operation parameter includes the data transmission delay, data transmission rate and throughput corresponding to each unit time; An operation parameter matrix is ​​constructed using the data transmission delay, data transmission rate, and throughput corresponding to each unit time, wherein each row vector in the operation parameter matrix represents a second operation parameter corresponding to a unit time; and the structure of the operation parameter matrix is ​​as follows: ； in, M represents the operating parameter matrix; D ( t 1 )、 D ( t 2 )…… D ( t n ) indicates the 1st to n The length of data transmission delay corresponding to a unit of time; S ( t 1 )、 S ( t 2 )…… S ( t n ) indicates the 1st to n The data transmission rate corresponding to a unit of time; T ( t 1 )、 T ( t 2 )…… T ( t n ) indicates the 1st to n The throughput corresponding to the unit time; Obtaining a module corresponding to the operating parameter matrix according to the operating parameter matrix; Obtaining the modulus corresponding to each row vector according to each row vector corresponding to the operation parameter matrix; The secondary abnormality evaluation parameter is obtained by using the modulus corresponding to the operation parameter matrix, the modulus corresponding to each row vector corresponding to the operation parameter matrix, and the communication network operation abnormality evaluation parameter, wherein the secondary abnormality evaluation parameter is obtained by the following formula: ； in, E se represents the secondary anomaly evaluation parameter; E Indicates communication network operation abnormality evaluation parameters; Indicates the module corresponding to the operating parameter matrix; and Represents the maximum and minimum values ​​of the magnitude in the row vector; represents the average value of the magnitudes in the row vector; comparing the secondary abnormality evaluation parameter with a preset second abnormality evaluation parameter threshold; When the secondary abnormality evaluation parameter exceeds a preset second abnormality evaluation parameter threshold, the communication network is determined to be abnormal and an abnormality alarm is issued.

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