Intelligent auxiliary system of power grid management platform

Abstract

The invention relates to an intelligent auxiliary system of a power grid management platform, and belongs to the technical field of artificial intelligence and browser plug-in development. The system comprises a scene identification module, a filling plug-in module, a downloading plug-in module, a format conversion plug-in module, a split screen plug-in module, an identification plug-in module, a plug-in execution module, a feedback and data verification module and the like. By integrating the multifunctional intelligent plug-in, the problems of low efficiency and errors in the manual operation process in the power grid management platform are solved, the automation degree and accuracy of service processing are remarkably improved, the method adapts to high-frequency and complex operation scenes of power service management, and the working efficiency and user experience of the power grid management platform are optimized.

Description

Technical Field

[0001] The present invention belongs to the technical field of artificial intelligence and browser plug-in development, and in particular relates to an intelligent auxiliary system for a power grid management platform. Background Art

[0002] Currently, in the operation of the power management system, staff often need to perform a large number of manual business operations in the browser, such as data filling, file downloading, information comparison and format conversion, etc. These repetitive workflows are not only inefficient, but also prone to errors, affecting the accuracy and timeliness of business processing.

[0003] Existing browser plug-ins are mostly developed for single functions, such as automatic form filling, file downloading, etc., lack a unified intelligent processing system, and usually do not have artificial intelligence-based scene recognition and dynamic operation functions. Therefore, there is an urgent need to develop a comprehensive browser plug-in tool based on an artificial intelligence platform that can achieve automated and efficient business processing.

[0004] The following problems exist when using the power grid management platform:

[0005] 1. Low work efficiency: In the daily operation of the power management system, staff are faced with a large number of repetitive and tedious manual tasks, such as data filling, file downloading, information comparison and format conversion. These operations are inefficient not only because they need to process multiple pages and tasks one by one, but also because they lack unified intelligent support. Manual operations cause staff to frequently switch between multiple pages, repeatedly input or download similar content, and must use external tools for format conversion and other tasks. The complicated process makes the overall operation seriously affect the accuracy and timeliness of business processing.

[0006] 2. Poor user experience: When employees are performing business operations, they encounter problems such as low manual entry efficiency, easy errors, cumbersome work, and low intelligence level in scenarios such as data entry, backfilling, downloading, and data comparison. Employees have a poor experience with the ease of use and intelligence level of the power grid management platform;

[0007] 3. Traditional functions are not satisfied: Similar to the asset scrapping management module in the current power grid management platform, it is necessary to manually download all asset scrapping details and voucher attachments every month. Secondly, in some office locations, such as PDF recognition, table recognition, uppercase and lowercase data conversion, postal code and location conversion, JSON format conversion, timestamp and Beijing time format conversion, etc., it is necessary to connect to the Internet for targeted search and conversion. Conversion is difficult in off-grid scenarios, which brings great inconvenience to employees' work and affects their office efficiency.

[0008] Therefore, how to overcome the shortcomings of the prior art is a problem that urgently needs to be solved in the current technical field. Summary of the invention

[0009] The purpose of the present invention is to solve the deficiencies of the prior art and to provide an intelligent auxiliary system for a power grid management platform.

[0010] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0011] An intelligent auxiliary system for a power grid management platform, comprising:

[0012] The scenario recognition module is used to identify the data entered by the user on the power grid management platform and identify the business scenarios required by the user; business scenarios include form filling, file downloading, format conversion, split screen and recognition;

[0013] The reporting plug-in module is connected to the plug-in execution module and is used to extract the key information filled in by the user and automatically fill in the form according to the reporting requirements identified by the scene recognition module;

[0014] A download plug-in module is connected to the plug-in execution module and is used to perform corresponding downloads according to the download requirements identified by the scene recognition module;

[0015] The format conversion plug-in module is connected to the plug-in execution module and is used to perform corresponding format conversion according to the format conversion requirements identified by the scene recognition module;

[0016] A split screen plug-in module, connected to the plug-in execution module, is used to perform corresponding split screen according to the split screen requirements identified by the scene recognition module;

[0017] The recognition plug-in module is connected to the plug-in execution module and is used to perform corresponding text recognition according to the recognition requirements recognized by the scene recognition module;

[0018] The plug-in execution module is respectively connected to the scene recognition module, the filling plug-in module, the download plug-in module, the format conversion plug-in module, the split-screen plug-in module, and the identification plug-in module. If the scene recognition module recognizes the business scene required by the user, the plug-in module corresponding to the business scene is called to perform corresponding processing; it is also used to obtain the processing status of the scene recognition module, the filling plug-in module, the download plug-in module, the format conversion plug-in module, the split-screen plug-in module, and the identification plug-in module, obtain the execution results of each plug-in module, and transmit them to the feedback and data verification module;

[0019] The feedback and data verification module is connected to the scene recognition module and is used to verify the data input by the user when the scene recognition module fails to recognize the scene requirement, and to feed back the verification result to the user so that the user can modify the input data;

[0020] The feedback and data verification module is also connected to the plug-in execution module to verify the execution results of each plug-in module and determine whether correction is required; if necessary, the plug-in execution module controls the corresponding plug-in module to make corrections.

[0021] Further, preferably, the download plug-in module is used to analyze downloadable resources on a web page and download them.

[0022] Furthermore, preferably, the downloading includes single file downloading and batch file downloading, which is a one-click download for the user.

[0023] Further, preferably, in the format conversion plug-in module, the format conversion includes case conversion, postal code conversion, and conversion between JSON and time formats.

[0024] Furthermore, preferably, in the split-screen plug-in module, when splitting the screen, multiple web pages are split and data comparison can be performed.

[0025] Furthermore, preferably, in the recognition plug-in module, OCR technology is used for text recognition.

[0026] Further, preferably, the recognition plug-in module is used to recognize text in a PDF, image or table and extract required content.

[0027] Furthermore, preferably, it also includes a user confirmation and automatic processing module, which is connected to the feedback and data verification module and is used for the user to perform corresponding confirmation or modification operations according to the verification results of the feedback and data verification module.

[0028] Further, preferably, the confirmation operation includes form submission, data saving and task execution.

[0029] Furthermore, preferably, it also includes a plug-in management module, which is respectively connected to the reporting plug-in module, the downloading plug-in module, the format conversion plug-in module, the split-screen plug-in module, and the identification plug-in module, and is used to manage the reporting plug-in module, the downloading plug-in module, the format conversion plug-in module, the split-screen plug-in module, and the identification plug-in module.

[0030] The present invention solves the problems of inefficiency and error in the manual operation process of the power grid management platform by integrating a multifunctional intelligent plug-in, significantly improves the degree of automation and accuracy of business processing, adapts to the high-frequency and complex operation scenarios of power business management, and optimizes the work efficiency and user experience of the power grid management platform.

[0031] Specifically:

[0032] 1. Form filling in the power grid management platform (such as intellectual property, patent information, etc.) requires a lot of manual input, which is inefficient and prone to errors. The present invention uses an intelligent filling plug-in to automatically extract and fill in form information using artificial intelligence recognition technology, reducing human errors and improving work efficiency.

[0033] 2. Staff members often need to manually download multiple files from web pages, which is a cumbersome process. The present invention automatically identifies downloadable content by downloading a plug-in module and implements one-click batch download, thus simplifying the file acquisition process.

[0034] 3. In different business scenarios, the conversion of data formats (such as uppercase and lowercase, postal code, time format, etc.) often requires manual processing, which is time-consuming and prone to errors. The present invention can realize automatic conversion between multiple formats through the format conversion plug-in module, reducing the difficulty of operation and improving accuracy.

[0035] 4. Business personnel often need to switch back and forth between multiple web pages for data comparison, which can easily confuse data. The present invention uses a split-screen plug-in to enable the browser to display multiple web pages on the same screen, making it convenient for users to view and operate multiple data sources at the same time, avoiding confusion caused by frequent window switching.

[0036] 5. Manually extracting text information from non-text files such as PDF and images is time-consuming and laborious. The recognition plug-in module of the present invention can automatically recognize and extract the text content of the specified area through OCR technology, thereby improving office efficiency.

[0037] The present invention is applicable to high-frequency scenarios such as automated reporting, data downloading, format conversion, intelligent screen splitting and content recognition in power business management processes.

[0038] In the present invention, downloading includes single file downloading and batch file downloading, which can provide a one-click download function for users.

[0039] In the present invention, the tasks in task execution are mainly data processing tasks, that is, confirming that the corresponding plug-in module is controlled by the plug-in execution module to perform corrections.

[0040] The system of the present invention needs to verify, clean, convert the format or download link probe analysis on the reported and submitted data to ensure that the data complies with business rules or facilitate subsequent operations.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] (1) Significantly improve work efficiency: By handling high-frequency and complex operation scenarios in the power grid management platform in an automated and intelligent manner, work efficiency and accuracy are significantly improved.

[0043] (2) Improve user experience: It provides an intuitive and easy-to-use user interface and real-time feedback mechanism, which reduces the difficulty of operation and the error rate, and improves the user experience.

[0044] (3) Enhanced flexibility: Supports user-defined form templates, business rules, identification areas, etc., which enhances the flexibility and scalability of the plug-in.

[0045] (4) Ensure data security: Encryption technology is used to protect user data and privacy, ensuring data security and privacy. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the structure of the intelligent auxiliary system of the power grid management platform of the present invention;

[0047] Figure 2 It is another structural schematic diagram of the intelligent auxiliary system of the power grid management platform of the present invention;

[0048] Figure 3 It is another structural schematic diagram of the intelligent auxiliary system of the power grid management platform of the present invention;

[0049] Among them, 101, scene recognition module; 102, plug-in execution module; 103, filling plug-in module; 104, download plug-in module; 105, format conversion plug-in module; 106, split-screen plug-in module; 107, identification plug-in module; 108, feedback and data verification module; 109, user confirmation and automatic processing module; 110, plug-in management module, among which the arrows represent the direction of data or signals.

[0050] Figure 4 This is a flow chart of the use of the intelligent auxiliary system of the power grid management platform of the present invention. DETAILED DESCRIPTION

[0051] The present invention is further described in detail below in conjunction with embodiments.

[0052] Those skilled in the art will appreciate that the following examples are only used to illustrate the present invention and should not be considered to limit the scope of the present invention. If no specific techniques or conditions are specified in the examples, the techniques or conditions described in the literature in the art or the product specifications are used. If the manufacturer of the materials or equipment used is not specified, they are all conventional products that can be purchased.

[0053] Example 1

[0054] like Figure 1 As shown, an intelligent auxiliary system for a power grid management platform includes:

[0055] The scene recognition module 101 is used to recognize the data input by the user on the power grid management platform and identify the business scene required by the user; the business scene includes form filling, file downloading, format conversion, screen splitting and recognition;

[0056] The reporting plug-in module 103 is connected to the plug-in execution module 102 and is used to extract key information filled in by the user and automatically fill in the form according to the reporting requirements identified by the scene recognition module 101;

[0057] The download plug-in module 104 is connected to the plug-in execution module 102 and is used to perform corresponding downloading according to the downloading requirements identified by the scene recognition module 101;

[0058] The format conversion plug-in module 105 is connected to the plug-in execution module 102 and is used to perform corresponding format conversion according to the format conversion requirements identified by the scene recognition module 101;

[0059] A screen splitting plug-in module 106, connected to the plug-in execution module 102, for performing corresponding screen splitting according to the screen splitting requirement identified by the scene recognition module 101;

[0060] The recognition plug-in module 107 is connected to the plug-in execution module 102 and is used to perform corresponding text recognition according to the recognition requirements recognized by the scene recognition module 101;

[0061] The plug-in execution module 102 is respectively connected to the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107. If the scene recognition module recognizes the business scene required by the user, the plug-in module corresponding to the business scene is called to perform corresponding processing; it is also used to obtain the processing status of the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107, obtain the execution result of each plug-in module, and transmit it to the feedback and data verification module 108;

[0062] The feedback and data verification module 108 is connected to the scene recognition module 101 and is used to verify the data input by the user when the scene recognition module 101 fails to recognize the scene requirement, and to feed back the verification result to the user so that the user can modify the input data;

[0063] The feedback and data verification module 108 is also connected to the plug-in execution module 102 to verify the execution results of each plug-in module and determine whether correction is required; if necessary, the plug-in execution module 102 controls the corresponding plug-in module to perform correction.

[0064] Example 2

[0065] like Figure 2 As shown, an intelligent auxiliary system for a power grid management platform includes:

[0066] The scene recognition module 101 is used to recognize the data input by the user on the power grid management platform and identify the business scene required by the user; the business scene includes form filling, file downloading, format conversion, screen splitting and recognition;

[0067] The reporting plug-in module 103 is connected to the plug-in execution module 102 and is used to extract key information filled in by the user and automatically fill in the form according to the reporting requirements identified by the scene recognition module 101;

[0068] The download plug-in module 104 is connected to the plug-in execution module 102 and is used to perform corresponding downloading according to the downloading requirements identified by the scene recognition module 101;

[0069] The format conversion plug-in module 105 is connected to the plug-in execution module 102 and is used to perform corresponding format conversion according to the format conversion requirements identified by the scene recognition module 101;

[0070] A screen splitting plug-in module 106, connected to the plug-in execution module 102, for performing corresponding screen splitting according to the screen splitting requirement identified by the scene recognition module 101;

[0071] The recognition plug-in module 107 is connected to the plug-in execution module 102 and is used to perform corresponding text recognition according to the recognition requirements recognized by the scene recognition module 101;

[0072] The plug-in execution module 102 is respectively connected to the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107. If the scene recognition module recognizes the business scene required by the user, the plug-in module corresponding to the business scene is called to perform corresponding processing; it is also used to obtain the processing status of the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107, obtain the execution result of each plug-in module, and transmit it to the feedback and data verification module 108;

[0073] The feedback and data verification module 108 is connected to the scene recognition module 101 and is used to verify the data input by the user when the scene recognition module 101 fails to recognize the scene requirement, and to feed back the verification result to the user so that the user can modify the input data;

[0074] The feedback and data verification module 108 is also connected to the plug-in execution module 102 to verify the execution results of each plug-in module and determine whether correction is required; if necessary, the plug-in execution module 102 controls the corresponding plug-in module to perform correction.

[0075] Specifically, the download plug-in module 104 is used to analyze downloadable resources on a web page and download them.

[0076] Specifically, the downloading includes single file downloading and batch file downloading, which is a one-click download for users.

[0077] Specifically, in the format conversion plug-in module 105, format conversion includes case conversion, postal code conversion, and conversion between JSON and time formats.

[0078] In the split screen plug-in module 106, when splitting the screen, multiple web pages are split and data comparison can be performed.

[0079] In the recognition plug-in module 107, OCR technology is used to perform text recognition.

[0080] The recognition plug-in module 107 is used to recognize text in PDF, pictures or tables and extract required content.

[0081] It also includes a user confirmation and automatic processing module 109 , which is connected to the feedback and data verification module 108 and is used for the user to perform corresponding confirmation or modification operations according to the verification results of the feedback and data verification module 108 .

[0082] Example 3

[0083] like Figure 3 As shown, an intelligent auxiliary system for a power grid management platform includes:

[0084] The scene recognition module 101 is used to recognize the data input by the user on the power grid management platform and identify the business scene required by the user; the business scene includes form filling, file downloading, format conversion, screen splitting and recognition;

[0085] The reporting plug-in module 103 is connected to the plug-in execution module 102 and is used to extract key information filled in by the user and automatically fill in the form according to the reporting requirements identified by the scene recognition module 101;

[0086] The download plug-in module 104 is connected to the plug-in execution module 102 and is used to perform corresponding downloading according to the downloading requirements identified by the scene recognition module 101;

[0087] The format conversion plug-in module 105 is connected to the plug-in execution module 102 and is used to perform corresponding format conversion according to the format conversion requirements identified by the scene recognition module 101;

[0088] A screen splitting plug-in module 106, connected to the plug-in execution module 102, for performing corresponding screen splitting according to the screen splitting requirement identified by the scene recognition module 101;

[0089] The recognition plug-in module 107 is connected to the plug-in execution module 102 and is used to perform corresponding text recognition according to the recognition requirements recognized by the scene recognition module 101;

[0090] The plug-in execution module 102 is respectively connected to the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107. If the scene recognition module recognizes the business scene required by the user, the plug-in module corresponding to the business scene is called to perform corresponding processing; it is also used to obtain the processing status of the scene recognition module 101, the filling plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split screen plug-in module 106, and the identification plug-in module 107, obtain the execution result of each plug-in module, and transmit it to the feedback and data verification module 108;

[0091] The feedback and data verification module 108 is connected to the scene recognition module 101 and is used to verify the data input by the user when the scene recognition module 101 fails to recognize the scene requirement, and to feed back the verification result to the user so that the user can modify the input data;

[0092] The feedback and data verification module 108 is also connected to the plug-in execution module 102 to verify the execution results of each plug-in module and determine whether correction is required; if necessary, the plug-in execution module 102 controls the corresponding plug-in module to perform correction.

[0093] Specifically, the download plug-in module 104 is used to analyze downloadable resources on a web page and download them.

[0094] Specifically, the downloading includes single file downloading and batch file downloading, which is a one-click download for users.

[0095] Specifically, in the format conversion plug-in module 105, format conversion includes case conversion, postal code conversion, and conversion between JSON and time formats.

[0096] In the split screen plug-in module 106, when splitting the screen, multiple web pages are split and data comparison can be performed.

[0097] In the recognition plug-in module 107, OCR technology is used to perform text recognition.

[0098] The recognition plug-in module 107 is used to recognize text in PDF, pictures or tables and extract required content.

[0099] It also includes a user confirmation and automatic processing module 109 , which is connected to the feedback and data verification module 108 and is used for the user to perform corresponding confirmation or modification operations according to the verification results of the feedback and data verification module 108 .

[0100] Confirmation operations include form submission, data saving, and task execution.

[0101] It also includes a plug-in management module 110, which is respectively connected to the reporting plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split-screen plug-in module 106, and the identification plug-in module 107, and is used to manage the reporting plug-in module 103, the downloading plug-in module 104, the format conversion plug-in module 105, the split-screen plug-in module 106, and the identification plug-in module 107.

[0102] This paper adopts JavaScript language framework and library, combined with artificial intelligence technology, to develop an intelligent auxiliary system for power grid management platform. The specific implementation method is as follows:

[0103] 1. Plug-in architecture design

[0104] (1) Overall architecture: The system adopts a modular design. Each functional module (such as reporting, downloading, etc.) is an independent plug-in module, which is uniformly managed and scheduled through the plug-in management module.

[0105] (2) Interaction mode: Each plug-in module interacts with the power grid management platform through the browser extension interface, obtains information such as web page content and user input, and writes the processing results back to the web page.

[0106] (3) Communication mechanism: The modules within the system communicate through the message bus to ensure efficient data transmission and synchronization.

[0107] 2. Functional module development

[0108] (1) Intelligent reporting

[0109] Data extraction: Use the OCR and NLP technologies of the AI ​​platform to extract key information from sources such as web pages, PDFs, and images.

[0110] Automatic filling: Automatically fill in the extracted data into the corresponding form fields according to the preset form template and business rules.

[0111] Extensibility: Supports users to customize form templates and business rules to meet the needs of different business scenarios.

[0112] (2) Smart Download

[0113] Web page analysis: Automatically identify downloadable file links by parsing the web page DOM tree and HTTP requests.

[0114] One-click download: Provides one-click batch download function, supports breakpoint resumption and download speed control.

[0115] User confirmation: Prompt the user to confirm the download content and quantity before downloading to avoid misoperation.

[0116] (3) Free format conversion

[0117] Algorithm design: case conversion, postal code and region conversion, JSON format conversion, etc.

[0118] User Interface: Design an intuitive user interface that allows users to select conversion type and enter data.

[0119] Offline support: Through local caching and algorithm optimization, format conversion function can be realized in offline state.

[0120] (4) Smart split screen

[0121] Split-screen logic: Based on the browser window management API, the split-screen display function of multiple web pages is realized.

[0122] Synchronous operation: supports synchronous scrolling, synchronous refresh and other operations between multiple windows, making it convenient for users to compare data.

[0123] Customized layout: Allows users to customize split-screen layout and window size to meet the needs of different business scenarios.

[0124] (5) Intelligent Identification

[0125] OCR technology: Integrates advanced OCR engine to realize text recognition function of PDF, pictures, tables and other files.

[0126] Custom recognition area: allows users to customize the recognition area and recognition parameters by dragging or entering coordinates.

[0127] Recognition result processing: Verify and correct the recognition results to improve the recognition accuracy, and output the results in text or JSON format.

[0128] (6) User confirmation and automated processing

[0129] Intuitive and easy to use: The simple and clear interface design ensures that users can easily operate and view the processing results.

[0130] Feedback mechanism: Provide real-time feedback and verification prompts to help users find and solve problems in a timely manner.

[0131] (7) Security and compatibility

[0132] Data encryption: Encryption technology is used to protect user data and privacy to ensure data security. The installation package is stored in a USB flash drive and can only be installed with an authorization code. After installation, it is bound to the computer's CPU and hard disk. Re-authorization is required to install it on other computers.

[0133] Cross-browser compatibility: Through compatibility testing and optimization, ensure that the plug-in runs stably on different browsers and operating systems.

[0134] Description of core technology principles:

[0135] The use process of the intelligent auxiliary system of the power grid management platform of the present invention is as follows: Figure 4 shown.

[0136] 1. Starting node: The user starts the intelligent auxiliary system of the power grid management platform of the present invention in the browser.

[0137] Input data: When users enter the power grid management platform to input data, corresponding data processing is required.

[0138] 2. System initialization:

[0139] Initialize the system and start each module of the system.

[0140] 3. Intelligent scene recognition:

[0141] Use the scenario recognition module to identify the business scenarios required by users (such as form filling, file download requirements, etc.).

[0142] 4. Plug-in execution process:

[0143] Filling plug-in module: calls the AI ​​recognition model to extract the key information that the user needs to fill in and automatically fills in the form.

[0144] Download plug-in module: analyze downloadable resources on web pages, prompt users to download with one click, and obtain files in batches.

[0145] Format conversion plug-in module: automatically identifies data format conversion requirements and performs case conversion, postal code conversion, and JSON and time format conversion.

[0146] Split-screen plug-in module: split-screen operation, display multiple web pages for data comparison, and support synchronous operation.

[0147] Recognition plug-in module: Based on OCR technology, it recognizes text in PDF, images or tables and extracts the required content.

[0148] 5. Feedback and data verification:

[0149] The feedback and data verification module is used to verify the execution results of each plug-in module to confirm whether corrections are needed (such as incorrect form filling, incorrect format, etc.).

[0150] 6. User confirmation and automated processing:

[0151] The user performs corresponding confirmation or modification operations based on the feedback and verification results of the data verification module to complete subsequent operations, such as form submission, data saving or task execution.

[0152] 7. Plugin Management:

[0153] Users can view the status of each plug-in module at any time through the plug-in management module, choose to enable or disable each plug-in module, and perform plug-in module upgrades or expansions.

[0154] 8. End node: The task is completed, the user exits or performs other business operations.

[0155] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent auxiliary system for a power grid management platform, characterized in that: include: A scenario recognition module (101) is used to recognize data input by a user on a power grid management platform and identify a business scenario required by the user; Business scenarios include form filling, file downloading, format conversion, split screen and recognition; A reporting plug-in module (103), connected to the plug-in execution module (102), is used to extract key information filled in by the user and automatically fill in the form according to the reporting requirements identified by the scene recognition module (101); A download plug-in module (104), connected to the plug-in execution module (102), is used to perform corresponding downloading according to the downloading requirements identified by the scene identification module (101); A format conversion plug-in module (105), connected to the plug-in execution module (102), for performing corresponding format conversion according to the format conversion requirement identified by the scene recognition module (101); A split screen plug-in module (106), connected to the plug-in execution module (102), is used to perform corresponding split screen according to the split screen requirement identified by the scene recognition module (101); A recognition plug-in module (107), connected to the plug-in execution module (102), for performing corresponding text recognition according to the recognition requirements identified by the scene recognition module (101); The plug-in execution module (102) is respectively connected to the scene recognition module (101), the filling plug-in module (103), the download plug-in module (104), the format conversion plug-in module (105), the split screen plug-in module (106), and the identification plug-in module (107); if the scene recognition module recognizes the business scene required by the user, the plug-in module corresponding to the business scene is called to perform corresponding processing; it is also used to obtain the processing status of the scene recognition module (101), the filling plug-in module (103), the download plug-in module (104), the format conversion plug-in module (105), the split screen plug-in module (106), and the identification plug-in module (107), obtain the execution result of each plug-in module, and transmit it to the feedback and data verification module (108); A feedback and data verification module (108), connected to the scene recognition module (101), is used to verify the data input by the user when the scene recognition module (101) fails to recognize the scene requirement, and to feed back the verification result to the user so that the user can modify the input data; The feedback and data verification module (108) is also connected to the plug-in execution module (102) and is used to verify the execution results of each plug-in module to determine whether correction is required; if necessary, the corresponding plug-in module is controlled by the plug-in execution module (102) to perform correction.

2. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: The download plug-in module (104) is used to analyze downloadable resources on a web page and download them.

3. The intelligent auxiliary system for power grid management platform according to claim 2 is characterized in that: The downloading includes single file downloading and batch file downloading, which is a one-click download for users.

4. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: In the format conversion plug-in module (105), format conversion includes case conversion, postal code conversion, and conversion between JSON and time formats.

5. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: In the split screen plug-in module (106), when splitting the screen, multiple web pages are split and data comparison can be performed.

6. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: In the recognition plug-in module (107), OCR technology is used to perform text recognition.

7. The intelligent auxiliary system for power grid management platform according to claim 6, characterized in that: The recognition plug-in module (107) is used to recognize text in PDF, images or tables and extract required content.

8. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: It also includes a user confirmation and automatic processing module (109), which is connected to the feedback and data verification module (108) and is used for the user to perform corresponding confirmation or modification operations according to the verification results of the feedback and data verification module (108).

9. The intelligent auxiliary system for power grid management platform according to claim 8, characterized in that: Confirmation operations include form submission, data saving, and task execution.

10. The intelligent auxiliary system for power grid management platform according to claim 1, characterized in that: It also includes a plug-in management module (110), which is respectively connected to the reporting plug-in module (103), the downloading plug-in module (104), the format conversion plug-in module (105), the split-screen plug-in module (106), and the identification plug-in module (107) for managing the reporting plug-in module (103), the downloading plug-in module (104), the format conversion plug-in module (105), the split-screen plug-in module (106), and the identification plug-in module (107).

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