Data management method, device and equipment based on power grid data platform and medium

Abstract

The present application belongs to the technical field of data processing, and particularly relates to a data management method, device, equipment and medium based on a power grid data platform, wherein the method comprises: when a user accesses the power grid data platform, providing a login interface to the user; receiving login information input by the user through the login interface, and logging into the power grid data platform based on the login information; receiving a data processing request of the user based on the login information; processing data in the power grid data platform according to the data processing request to obtain processed data; and visually displaying the processed data. The present application manages data based on the power grid data platform, realizes intelligent management of power grid data, and makes power grid data standardized.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a data management method, apparatus, equipment and medium based on a power grid data platform. Background Technology

[0002] In power systems, the unified whole connecting power generation and consumption, consisting of transmission, substation, distribution equipment, and corresponding auxiliary systems, is generally referred to as the power grid, or simply the power grid. During daily operation, various systems within the power grid generate a large amount of grid data. Currently, power grid companies generally use traditional data storage management methods to manage these grid data assets, which only achieve data collection and storage. This data is not well presented in a visually relevant manner, and the analysis of key data and the establishment of data relationships still rely on manual labor, which is time-consuming and labor-intensive.

[0003] Therefore, how to achieve intelligent management of power grid data is a problem that needs to be solved. Summary of the Invention

[0004] This invention provides a data management method, apparatus, equipment, and medium based on a power grid data platform, aiming to achieve intelligent management of power grid data and standardize power grid data.

[0005] To achieve the above-mentioned objectives, the first aspect of the present invention proposes a data management method based on a power grid data platform, the method comprising:

[0006] When a user accesses the power grid data platform, a login interface is provided to the user;

[0007] The system receives login information input by the user through the login interface and logs into the power grid data platform based on the login information.

[0008] Receive the user's data processing request based on the login information;

[0009] The data in the power grid data platform is processed according to the data processing request to obtain processed data;

[0010] The processing data is then visualized.

[0011] Furthermore, before providing a login interface to a user when they access the power grid data platform, the process also includes:

[0012] The power grid server accesses source data from various power grid systems via a data access interface and stores the source data in a pre-defined database.

[0013] Furthermore, the login interface includes a regular user login interface and a developer login interface. When a user accesses the power grid data platform, the login interface provided to the user includes:

[0014] When a regular user accesses the power grid data platform, a regular user login interface is provided to that regular user.

[0015] When a developer accesses the power grid data platform, a developer login interface is provided to the developer.

[0016] Furthermore, the data processing request is to generate a data indicator catalog. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes:

[0017] The data in the power grid data platform is identified to obtain the attribute information of the data;

[0018] The data is classified and aggregated based on the attribute information to obtain multiple data sets;

[0019] A data indicator catalog is generated based on the attribute information and the data set.

[0020] Furthermore, the data processing request is to generate a data chart. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes:

[0021] Select a preset chart drawing rule, wherein the chart drawing rule includes chart type and drawing method;

[0022] Based on the chart drawing rules and the data in the power grid data platform, charts are drawn to obtain data charts.

[0023] Furthermore, the data processing request is for data review, and the step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes:

[0024] Monitor the data links of the power grid data platform and review the data links;

[0025] When a change is detected in the data link, a change notification is sent to the user.

[0026] Furthermore, the data processing request is for data analysis and prediction. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes:

[0027] Analyze the data in the power grid data platform to obtain related data;

[0028] Based on the associated data, data prediction is performed, and the data prediction results are output.

[0029] This application also provides a data management device based on a power grid data platform, characterized in that the device comprises:

[0030] The access module is used to provide a login interface to the user when the user accesses the power grid data platform;

[0031] The login module is used to receive login information input by the user through the login interface and log in to the power grid data platform based on the login information;

[0032] The receiving module is used to receive the user's data processing request based on the login information;

[0033] The processing module is used to process the data in the power grid data platform according to the data processing request to obtain processed data;

[0034] The visualization module is used to visualize the processing data.

[0035] This application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, characterized in that the processor executes the computer program to implement the steps of the data management method based on the power grid data platform described above.

[0036] This application also provides a computer-readable storage medium storing a computer program thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the data management method based on the power grid data platform described above.

[0037] Beneficial effects: In this application, when a user accesses the power grid data platform, a login interface is provided to the user. The login interface receives the login information entered by the user, and the user logs into the power grid data platform based on this information. Then, based on the login information, the system receives the user's data processing request and processes the data in the power grid data platform according to the request. This enables effective management of large amounts of power grid data and improves the efficiency of power grid data management. Visualizing the processed data allows for the timely detection of abnormal data in the operation of various power grid systems, providing a guarantee for the safe operation of these systems. This achieves intelligent management of power grid data and standardizes the power grid data. Attached Figure Description

[0038] Figure 1 This is a schematic flowchart of an embodiment of the data management method based on a power grid data platform according to this application;

[0039] Figure 2 This is a schematic flowchart of another embodiment of the data management method based on the power grid data platform of this application;

[0040] Figure 3 This is a schematic flowchart of another embodiment of the data management method based on the power grid data platform of this application;

[0041] Figure 4 This is a schematic flowchart of another embodiment of the data management method based on the power grid data platform of this application;

[0042] Figure 5 This is a schematic flowchart of another embodiment of the data management method based on the power grid data platform of this application;

[0043] Figure 6 This is a schematic flowchart of another embodiment of the data management method based on the power grid data platform of this application;

[0044] Figure 7 This is a schematic diagram of an embodiment of the data management device based on the power grid data platform of this application;

[0045] Figure 8 This is a schematic block diagram of an embodiment of the computer device of this application.

[0046] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0048] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of features, integers, steps, operations, elements, modules, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, modules, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any modules and all combinations of one or more associated listed items.

[0049] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0050] Reference Figure 1 This invention provides a data management method based on a power grid data platform, comprising the following steps S1-S5:

[0051] S1: When a user accesses the power grid data platform, a login interface is provided to the user.

[0052] The power grid data platform is a pre-built data platform storing data from various power grid sources for unified management of power grid data. This data is uploaded to the power grid data platform via data access interfaces set up by the power grid server. The power grid data platform stores source data from various power grid systems, facilitating data tracing, analysis, and mining for users. When a user accesses the power grid data platform, a login interface is provided. This interface includes a regular user login interface for viewing data information within the power grid data platform, and a developer login interface for developing and maintaining the platform.

[0053] S2: Receive the login information entered by the user through the login interface, and log in to the power grid data platform based on the login information.

[0054] When a user accesses the power grid data platform, a login interface is provided to the user. The system then receives the login information entered by the user through this interface. This login information is obtained through pre-registration of an account on the power grid data platform and includes a login account and password. After receiving the login information, the system further verifies its legitimacy by checking whether the account was pre-registered and whether the login account and password match. Only when the login account is a pre-registered account and matches the password is the user allowed to log in to the power grid data platform based on the login information. The system then grants the login account corresponding functional access, enabling the user to operate the data within the power grid data platform.

[0055] S3: Receive the user's data processing request based on the login information.

[0056] The system receives login information input by the user through the login interface and logs into the power grid data platform based on the login information. Then, it receives the user's data processing request based on the login information. The data processing request can be triggered by a regular user or a developer on the user end. The data processing request includes generating a data indicator catalog, generating data charts, conducting data review, performing data analysis and prediction, etc., and the user can set it according to actual needs.

[0057] S4: Process the data in the power grid data platform according to the data processing request to obtain processed data.

[0058] After receiving the user's data processing request based on the login information, the system processes the data in the power grid data platform according to the request to obtain processed data. Specifically, if the data processing request is to generate a data indicator catalog, the system identifies the data in the power grid data platform to obtain the attribute information of the data, classifies and aggregates the data according to the attribute information to obtain multiple data sets, and generates a data indicator catalog based on the attribute information and the data sets. If the data processing request is to generate a data chart, the system selects a preset chart drawing rule, which includes a chart type and a drawing method, and draws the chart according to the chart drawing rule and the data in the power grid data platform to obtain a data chart. If the data processing request is to perform data review, the system monitors the data link of the power grid data platform and reviews the data link. If the data link changes, a change reminder is sent to the user. If the data processing request is to perform data analysis and prediction, the system analyzes the data in the power grid data platform to obtain related data, performs data prediction based on the related data, and outputs the data prediction result. The data in the power grid data platform is processed according to the data processing request, which not only enables effective management of a large amount of power grid data and improves the efficiency of power grid data management, but also transforms the data into a form that is easy for users to understand and operate, thereby improving the user experience.

[0059] S5: Visualize the processing data.

[0060] The data in the power grid data platform is processed according to the data processing request. After obtaining the processed data, the processed data is visualized. The visualization includes static visualization and dynamic visualization. The static visualization includes statically generated charts and reports; the dynamic visualization includes charts and reports generated in the form of videos and animated graphics. Visualizing the processed data makes the data more intuitive and helps users to promptly discover abnormal data in the operation of various power grid systems, thus ensuring the safe operation of various power grid systems.

[0061] This embodiment provides a data management method based on a power grid data platform. When a user accesses the power grid data platform, a login interface is provided to the user. The login interface receives the login information entered by the user and logs into the power grid data platform based on the login information. Then, based on the login information, the method receives the user's data processing request and processes the data in the power grid data platform according to the data processing request. This enables effective management of large amounts of power grid data, improves the efficiency of power grid data management, and visualizes the processed data. It can also promptly detect abnormal data in the operation of various power grid systems, providing a guarantee for the safe operation of various power grid systems. This achieves intelligent management of power grid data and standardizes power grid data.

[0062] In one embodiment, before providing a login interface to the user when the user accesses the power grid data platform, the method further includes:

[0063] The power grid server accesses source data from various power grid systems via a data access interface and stores the source data in a pre-defined database.

[0064] As described above, the data access interface set up by the power grid server accesses the source data of various power grid systems. The source data can be imported in batches in Excel format. For the imported source data, each power grid system can be stored separately as a storage unit to facilitate subsequent data retrieval; alternatively, the source data of the power grid system can be stored according to the region as a storage unit to facilitate subsequent data viewing.

[0065] Reference Figure 2 In one embodiment, the login interface includes a regular user login interface and a developer login interface. When a user accesses the power grid data platform, providing the user with the login interface includes:

[0066] S11: When a regular user accesses the power grid data platform, a regular user login interface is provided to the regular user.

[0067] The login interface for regular users is open to regular users, and supports users in browsing, retrieving, analyzing, and processing data.

[0068] S12: When a developer accesses the power grid data platform, a developer login interface is provided to the developer.

[0069] The developer login interface is open to developers. The developer login interface not only supports developers to browse, retrieve, analyze and process data, but also supports developers to modify data (add data, delete data), maintain the platform and develop the platform.

[0070] As described above, the login interface includes a regular user login interface and a developer login interface. These two interfaces are distinct. The regular user login interface is open to regular users, allowing them to browse, retrieve, analyze, and process data. The developer login interface is only open to developers, supporting not only data browsing, retrieval, analysis, and processing, but also data modification (adding and deleting data), platform maintenance, and platform development. When data modification is performed, the power grid data platform records the developer's account information and details of the modification, enabling other developers to track data changes and ensure data traceability. This distinction between login interfaces prevents different users from arbitrarily altering data on the platform, thus facilitating the integration and standardized management of various data resources.

[0071] Reference Figure 3 In one embodiment, the data processing request is to generate a data indicator catalog. The above-mentioned processing of data in the power grid data platform according to the data processing request to obtain processed data includes:

[0072] S41: Identify the data in the power grid data platform to obtain the attribute information of the data.

[0073] The data in the power grid data platform is identified to obtain attribute information including data service domain, service theme, and data application dimension.

[0074] S42: Classify and aggregate the data according to the attribute information to obtain multiple data sets.

[0075] Based on the attribute information, the data in the power grid data platform is classified and aggregated to obtain multiple data sets, and each data set corresponds one-to-one with the attribute information.

[0076] S43: Generate a data indicator catalog based on the attribute information and the data set.

[0077] As described above, when the data processing request is to generate a data indicator catalog, the data in the power grid data platform is identified to obtain attribute information including data business domains, business themes, and data application dimensions. Based on the attribute information, the data in the power grid data platform is classified and aggregated to obtain multiple data sets. Each data set corresponds one-to-one with the attribute information. Based on the attribute information and the data sets, a data indicator catalog is generated. The data indicator catalog supports displaying catalog information such as source systems, business themes, and data applications, and supports link jumps. That is, when a target catalog is selected and clicked, it jumps to the corresponding page of the target catalog and displays the data corresponding to the target catalog, so that users can view the data in the target catalog. After obtaining the data indicator catalog, a catalog relationship is also constructed so that there are associations between the data indicator catalogs. That is, while the data indicator catalogs are grouped by the same type, non-same type data indicator catalogs belonging to the same system are also associated. When the user clicks on the target catalog in the interface, related data indicator catalogs are actively recommended to the user, so that the user can interpret the data by combining the target catalog and related data indicator catalogs to fully understand the data information.

[0078] Reference Figure 4 In one embodiment, the data processing request is to generate a data chart. The above-mentioned processing of data in the power grid data platform according to the data processing request to obtain processed data includes:

[0079] S44: Select a preset chart drawing rule, wherein the chart drawing rule includes chart type and drawing method.

[0080] The chart types include bar charts, pie charts, line charts, scatter plots, etc., and the drawing method is the drawing method corresponding to the chart type.

[0081] S45: Based on the chart drawing rules and the data in the power grid data platform, draw the chart to obtain the data chart.

[0082] As described above, when the data processing request is to generate a data chart, a preset chart drawing rule is selected. The chart is then drawn based on this rule and the data from the power grid data platform. For example, if a user wants to generate a pie chart, the pie chart drawing rule is selected, i.e., a pie chart chart and a pie chart drawing method are chosen. The pie chart is then drawn based on this rule and the data from the power grid data platform, resulting in the pie chart. The data from the power grid data platform used to draw the chart is pre-selected by the user, and this data can consist of multiple data points. Drawing charts from the data in the power grid data platform allows for a more intuitive display of the data, facilitating user interpretation and analysis.

[0083] Reference Figure 5 In one embodiment, the data processing request is for data review. The above-mentioned processing of data in the power grid data platform according to the data processing request to obtain processed data includes:

[0084] S46: Monitor the data links of the power grid data platform and review the data links.

[0085] Developers can monitor and review the data links in the power grid data platform in real time. This prevents malicious actors from tampering with the data in the power grid data platform and verifies the data to determine whether any data needs to be updated. If so, the data that needs to be updated is updated to ensure the comprehensiveness of the data in the power grid data platform.

[0086] S47: When a change is detected in the data link, a change notification is sent to the user.

[0087] When a change is detected in the data link, the data link is traced to determine whether the change is legitimate. That is, whether the change was initiated by the developer to update the data on the power grid data platform, or whether malicious actors tampered with the data in the power grid data platform. If the change in the data link is due to malicious actors tampering with the data in the power grid data platform, a change notification is sent to the developer, enabling the developer to trace the tampered data to retrieve the untampered data and replace the tampered data with the untampered data to ensure the integrity and accuracy of the data.

[0088] As described above, when the data processing request is for data review, the developer monitors and reviews the data links in the power grid data platform in real time. This prevents malicious actors from tampering with the data in the power grid data platform and verifies the data to determine if any data needs updating. If so, the data is updated to ensure the comprehensiveness of the data in the power grid data platform. When monitoring the data links reveals changes, the data links are traced to determine if the changes are legitimate. Specifically, it is determined whether the changes were initiated by the developer to update the data in the power grid data platform or by malicious actors tampering with the data. If the changes are due to malicious actors tampering with the data in the power grid data platform, a change notification is sent to the developer, enabling them to trace the tampered data, retrieve the untampered data, and replace the tampered data with the untampered data to ensure data integrity.

[0089] Reference Figure 6 In one embodiment, the data processing request is for data analysis and prediction. The above-mentioned processing of data in the power grid data platform according to the data processing request to obtain processed data includes:

[0090] S48: Analyze the data in the power grid data platform to obtain related data;

[0091] The data in the power grid data platform is selected, wherein the selected data is the data to be analyzed pre-selected by the user for data analysis, and the data to be analyzed may be multiple data; the data to be analyzed is extracted, wherein the data extraction includes extracting first data that has a hard relationship between the data to be analyzed, and extracting second relationships that have an association relationship based on clustering relationships; and generating associated data based on the first data and the second data.

[0092] S49: Perform data prediction based on the associated data and output the data prediction results.

[0093] The associated data is input into a pre-established predictive analysis model, which has the function of analyzing and predicting the associated data. The predictive analysis model is pre-trained according to data analysis needs to obtain a model with analytical functions. The associated data is analyzed by the predictive analysis model to obtain analytical data. Based on the analytical data and a trend report template, a trend report is generated and output to the user terminal, so that the user can adjust strategic planning or business management according to the trend report, thereby optimizing production and operation management.

[0094] As described above, when the data processing request is for data analysis and prediction, data selection is performed on the power grid data platform. This data selection refers to pre-selected data to be analyzed by the user, and the data to be analyzed can be multiple data sets. Data extraction is then performed on the data to be analyzed, including extracting first data showing a hard correlation between the data sets and extracting second data showing a correlation based on clustering relationships. Correlation data is generated based on the first and second data sets. This correlation data is then input into a pre-established predictive analysis model, which analyzes the correlation data to obtain analytical data. A trend report is generated based on the analytical data and a trend report template, and the trend report is output to the user, allowing the user to adjust strategic planning or business management based on the trend report, thereby optimizing production and operation management.

[0095] Reference Figure 7 This invention also provides a data management device based on a power grid data platform, comprising:

[0096] Access module 10 is used to provide a login interface to the user when the user accesses the power grid data platform;

[0097] The login module 20 is used to receive login information input by the user through the login interface and log in to the power grid data platform based on the login information;

[0098] Receiving module 30 is used to receive the user's data processing request based on the login information;

[0099] Processing module 40 is used to process the data in the power grid data platform according to the data processing request to obtain processed data;

[0100] The visualization module 50 is used to visualize the processing data.

[0101] As described above, the data management device based on the power grid data platform can realize the data management method based on the power grid data platform.

[0102] In one embodiment, the access module 10 further includes:

[0103] The data access unit is used to access source data from various power grid systems based on the data access interface set up by the power grid server, and to store the source data in a preset database.

[0104] In one embodiment, the access module 10 further includes:

[0105] The ordinary user access unit is used to provide an ordinary user login interface to the ordinary user when the ordinary user accesses the power grid data platform;

[0106] The developer access unit is used to provide a developer login interface to the developer when the developer accesses the power grid data platform.

[0107] In one embodiment, the receiving module 30 further includes:

[0108] The identification unit is used to identify the data in the power grid data platform and obtain the attribute information of the data;

[0109] A classification unit is used to classify and aggregate the data based on the attribute information to obtain multiple data sets;

[0110] The combination unit is used to generate a data indicator catalog based on the attribute information and the data set.

[0111] In one embodiment, the receiving module 30 further includes:

[0112] The selection unit is used to select preset chart drawing rules, wherein the chart drawing rules include chart type and drawing method;

[0113] The drawing unit is used to draw charts according to the chart drawing rules and the data in the power grid data platform to obtain data charts.

[0114] In one embodiment, the receiving module 30 further includes;

[0115] The monitoring unit is used to monitor the data links of the power grid data platform and to review the data links.

[0116] The reminder unit is used to send a change reminder to the user when a change is detected in the data link.

[0117] In one embodiment, the receiving module 30 further includes:

[0118] The analysis unit is used to analyze the data in the power grid data platform and obtain related data;

[0119] The prediction unit is used to perform data prediction based on the associated data and output the data prediction result.

[0120] Reference Figure 8 The present invention also provides a computer device, the internal structure of which can be as follows: Figure 8As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor is designed to provide computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores operating devices, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The database stores relevant data for data management methods based on a power grid data platform. The network interface is used to communicate with external terminals via a network connection. Furthermore, the computer device may also include input devices and a display screen. When the computer program is executed by the processor to implement a data management method based on a power grid data platform, it includes the following steps: when a user accesses the power grid data platform, a login interface is provided to the user; login information input by the user is received through the login interface, and the user logs into the power grid data platform based on the login information; a data processing request from the user is received based on the login information; data in the power grid data platform is processed according to the data processing request to obtain processed data; and the processed data is visualized. Those skilled in the art will understand that... Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer equipment on which the present application is applied.

[0121] One embodiment of this application also provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements a data management method based on a power grid data platform, including the following steps: when a user accesses the power grid data platform, providing a login interface to the user; receiving login information input by the user through the login interface, and logging into the power grid data platform based on the login information; receiving a data processing request from the user based on the login information; processing the data in the power grid data platform according to the data processing request to obtain processed data; and visually displaying the processed data. It is understood that the computer-readable storage medium in this embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0122] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media provided in this application and in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual-speed SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0123] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, apparatus, article, or method. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, apparatus, article, or method that includes that element.

[0124] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A data management method based on a power grid data platform, characterized in that, The method includes: When a user accesses the power grid data platform, a login interface is provided to the user; The system receives login information input by the user through the login interface and logs into the power grid data platform based on the login information. Receive the user's data processing request based on the login information; The data in the power grid data platform is processed according to the data processing request to obtain processed data; The processing data is then visualized. The data processing request is to generate a data indicator catalog. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes: The data in the power grid data platform is identified to obtain attribute information including data service domain, service theme, and system affiliation; Based on the attribute information, the data is classified and aggregated according to system affiliation to obtain multiple data sets; A data indicator directory is generated based on the attribute information and the data set; the data indicator directory is used to support link jumps; when a target directory is selected and clicked, the user is redirected to the page corresponding to the target directory and the data corresponding to the target directory is displayed; after obtaining the data indicator directory, directory relationships are constructed, including constructing the association relationship between data indicator directories; when the data indicator directories are clustered in the same type, non-same type data indicator directories belonging to the same system are associated; when the user clicks on the target directory in the interface, related data indicator directories are recommended to the user. The data processing request is for data review. The process of processing the data in the power grid data platform according to the data processing request to obtain processed data includes: Monitor the data links of the power grid data platform and review the data links; Determine if the data that needs to be updated is stored. If it exists, update the data that needs to be updated. When a change is detected in the data link, the data link is traced to determine whether the change is legitimate. The legitimacy determination is whether the change in the data link is due to the developer actively updating the data in the power grid data platform, or whether a non-developer tampered with the data in the power grid data platform. If the change in the data link is due to a non-developer tampering with the data in the power grid data platform, a change notification is sent to the user. Before providing a login interface to a user when they access the power grid data platform, the process also includes: The source data of each power grid system is accessed through the data access interface set up on the power grid server, and the source data is stored in a preset database. The source data is imported in batches in Excel format. For the imported source data, each power grid system is stored separately as a storage unit for subsequent data retrieval; or the source data of the power grid system is stored according to the region as a storage unit for subsequent data viewing.

2. The data management method based on a power grid data platform according to claim 1, characterized in that, The login interface includes a regular user login interface and a developer login interface. When a user accesses the power grid data platform, a login interface is provided to the user, including: When a regular user accesses the power grid data platform, a regular user login interface is provided to that regular user. When a developer accesses the power grid data platform, a developer login interface is provided to the developer.

3. The data management method based on a power grid data platform according to claim 1, characterized in that, The data processing request is to generate a data chart. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes: Select a preset chart drawing rule, wherein the chart drawing rule includes chart type and drawing method; Based on the chart drawing rules and the data in the power grid data platform, charts are drawn to obtain data charts.

4. The data management method based on a power grid data platform according to claim 1, characterized in that, The data processing request is for data analysis and prediction. The step of processing the data in the power grid data platform according to the data processing request to obtain processed data includes: Analyze the data in the power grid data platform to obtain related data; Based on the associated data, data prediction is performed, and the data prediction results are output.

5. A data management device based on a power grid data platform, used to execute the method described in any one of claims 1-4, characterized in that, The device includes: The access module is used to provide a login interface to the user when the user accesses the power grid data platform; The login module is used to receive login information input by the user through the login interface and log in to the power grid data platform based on the login information; The receiving module is used to receive the user's data processing request based on the login information; The processing module is used to process the data in the power grid data platform according to the data processing request to obtain processed data; The visualization module is used to visualize the processing data.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the data management method based on the power grid data platform as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the data management method based on the power grid data platform as described in any one of claims 1 to 4.

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