An index management method, device and system for power grid data

Abstract

The application discloses an index management method, device and system for power grid data. The index management device comprises a data acquisition unit, a classification analysis unit and an associated index unit. The index management system comprises an index management module, a user interaction module and a data storage module, and the index management module, the user interaction module and the data storage module are in communication connection with each other. The power grid data to be managed is uniformly called from the data storage module, the power grid data is classified and analyzed to obtain the power topology structure and the data label system of the power grid data, and the power grid data is associated with the data label system to establish an index management system for data statistical management, so that the index management method, device and system improve the efficiency of power grid data statistics and management.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of index management of power grid data, and relates to an index management method, device and system of power grid data. BACKGROUND

[0002] With the continuous development of society, the power demand of enterprise users and individual users gradually increases, and the types of power demand are more and more diverse. Accordingly, the scale of power grid is continuously expanding.

[0003] In the prior art, the power system generally adopts a corresponding power grid CIM (Common Information Model) business model based on the public information model CIM. With the continuous application of smart grid related technologies, each province and city has constructed a power big data center and a data middle platform. The power grid data includes structured data, unstructured data, massive historical data, quasi real-time data and power grid GIS data, etc., and a large amount of diversified data is generated.

[0004] However, the prior art still has the following defects: due to the non-uniform distribution of power grid business data storage, the data quality is uneven, multiple information islands are formed, the data circulation is blocked, the data cannot be effectively and uniformly managed, there are data security risks, the data cannot be classified and managed, the data resources cannot be effectively and fully utilized, different demands cannot be met, and the service level cannot be improved.

[0005] Therefore, there is currently a need for an index management method, device and system of power grid data to solve the above problems in the prior art. SUMMARY

[0006] In view of the above technical problems existing in the prior art, the purpose of the present application is to provide an index management method, device and system of power grid data to improve the efficiency of power grid data statistics and management.

[0007] The present application provides an index management method of power grid data, which comprises the following steps: calling power grid data to be managed and a preset data label group from a data storage module; the data label group comprises a plurality of data labels; classifying and analyzing the power grid data according to a preset classification analysis method to obtain a power network topology structure corresponding to the power grid data and a data label system; the data label system is generated according to the power network topology structure; corresponding association between the power grid data and each data label is performed, and an index management system is established according to the data label system.

[0008] In one embodiment, the index management method further comprises: obtaining a management object to be managed and a management operation; according to the management object and the index management system, calling corresponding first power grid data, and according to the management operation, managing the first power grid data.

[0009] In one embodiment, before calling the power grid data to be managed and the preset data tag group from the data storage module, the index management method further comprises: according to a preset hierarchical classification method and characteristics of the power grid data, classifying the power grid data, and according to the classification result, setting corresponding data tags, thereby obtaining the data tag group.

[0010] In one embodiment, after classifying and analyzing the power grid data according to the preset classification analysis method to obtain the power network topology corresponding to the power grid data and the data tag system, the index management method further comprises: performing label semantic conflict detection on the data tag system, thereby determining the label level corresponding to each data tag; according to the label level and the power network topology, verifying whether the logical relationship between each two data tags in the data tag system is correct; if there is a logical relationship error between two first data tags, correcting the data tag system according to the label level of each of the two first data tags.

[0011] In one embodiment, the power grid data and each data tag are correspondingly associated, and an index management system is established according to the data tag system, specifically: the power grid data and the data tags are correspondingly associated to generate corresponding power grid statistical data; the index management system is established according to the data tag system, and the index management system is associated with the power grid statistical data.

[0012] In one embodiment, the index management method further comprises: performing data disaster backup of the power grid statistical data and the corresponding index according to a preset time.

[0013] The application further provides an index management device of power grid data, which comprises a data acquisition unit, a classification analysis unit and an association index unit, wherein the data acquisition unit is used to call power grid data to be managed and a preset data label group from a data storage module; the data label group comprises a plurality of data labels; the classification analysis unit is used to classify and analyze the power grid data according to a preset classification analysis method, so as to obtain a power network topology structure corresponding to the power grid data and a data label system; the data label system is established and generated according to the power network topology structure; and the association index unit is used to correspondingly associate the power grid data with each data label, and establish an index management system according to the data label system.

[0014] In one embodiment, the index management device further comprises a label setting unit, which is used to classify the power grid data according to a preset classification method and characteristics of the power grid data, and set corresponding data labels according to the classification result, so as to obtain a data label group.

[0015] In one embodiment, the index management device further comprises a logic detection unit, which is used to detect label semantic conflicts of the data label system, so as to determine label levels corresponding to each data label respectively; verify whether logical relationships between each two data labels in the data label system are correct according to the label levels and the power network topology structure; and if there is a logical relationship error between two first data labels, correct the data label system according to the label levels of the two first data labels respectively.

[0016] The application further provides an index management system of power grid data, which comprises an index management module, a user interaction module and a data storage module, and the index management module, the user interaction module and the data storage module are communicatively connected to each other, wherein the index management module is used to execute the index management method of power grid data as described above, so as to establish an index management system to manage power grid data; the user interaction module is used to receive an index establishment instruction sent by a user, call corresponding second power grid data from the data storage module according to the index establishment instruction, and send the second power grid data as power grid data to be managed to the index management module; and receive an index management instruction sent by a user; the index management instruction comprises a management object and a management operation; and the data storage module is used to store all power grid data.

[0017] Compared with the prior art, the embodiments of the application have the following beneficial effects:

[0018] This invention provides a method, apparatus, and system for indexing and managing power grid data. By uniformly retrieving the power grid data to be managed from the data storage module, performing hierarchical classification and parsing on the power grid data to obtain the power topology and data tag system of the power grid data, and associating the power grid data with the data tag system to establish an index management system for data statistical management, this index management method, apparatus, and system improves the efficiency of power grid data statistics and management.

[0019] Furthermore, the index management method, apparatus and system for power grid data provided by the present invention also verifies and judges the tag level of the data tags in the data tag system to verify whether the logical relationship between each pair of data tags in the data tag system is correct, thereby improving the accuracy of index management by improving the accuracy of the data tag system. Attached Figure Description

[0020] The present invention will be further described below with reference to the accompanying drawings, wherein:

[0021] Figure 1 A flowchart of an embodiment of a power grid data indexing management method according to the present invention is shown;

[0022] Figure 2 A flowchart of another embodiment of a power grid data indexing management method according to the present invention is shown;

[0023] Figure 3 A structural diagram of an embodiment of a power grid data indexing and management device according to the present invention is shown;

[0024] Figure 4 A structural diagram of an embodiment of a power grid data indexing and management system according to the present invention is shown. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Specific Implementation Example 1

[0027] The present invention first describes a method for indexing and managing power grid data. Figure 1 A flowchart of an embodiment of a power grid data indexing and management method according to the present invention is shown.

[0028] like Figure 1 As shown, the method includes the following steps:

[0029] S1: retrieve power grid data to be managed and a preset data label group from a data storage module.

[0030] In the prior art, the power grid data required to be used generally includes structured data, unstructured data, semi-structured data and the like from the structural point of view, and includes voltage level, power user basic profile data, service work order information, electricity charge record information, channel contact record, electricity collection information, electricity charge payment time, electricity charge payment mode, user basic data, service work order information, electricity charge record information, channel contact record, electricity collection information, electricity charge payment time, electricity charge payment mode, electricity charge payment delay time, maximum instantaneous power information, voltage level, electricity data, metering collection data and power user profile data from the data property point of view.

[0031] However, since the types of various databases in the prior art are not the same, and even the entity representation and description are not the same, there are conflicts and delays in creating power grid big data, and in order to solve the above problems, the embodiment of the application directly retrieves power grid data from the data storage module, and the power grid data in the data storage module is data processed into a unified data standard format according to a preset data mapping table.

[0032] In one embodiment, the preset data label group includes a plurality of data labels, which are obtained by setting the power grid data according to data type, geographical source and time characteristics.

[0033] In one embodiment, the data storage module includes a data hub, which reduces the technical complexity of the underlying cloud platform, makes the use cost of data lower, and establishes power enterprise data assets through data access and development of the data hub, and forms a power grid data label system. Further, the data hub can manage data assets and serve multiple businesses of the power enterprise.

[0034] S2: according to a preset classification analysis method, the power grid data is classified and analyzed to obtain the corresponding power network topology and data label system of the power grid data.

[0035] After the power grid data to be managed is retrieved, the power grid data is classified by a classification analysis algorithm according to business classification, geographical classification, time classification and theme classification, the corresponding data label is determined according to the classification result after the classification, the power network topology is obtained, and finally, the logical relationship between different data labels is determined according to the hierarchical nodes of the power network topology.

[0036] In one embodiment, the classification analysis algorithm includes a decision tree algorithm, a logistic regression algorithm, and other common algorithms in the prior art.

[0037] In one embodiment, before hierarchical classification, regional data corresponding to the power grid data is also acquired, and the power grid data and the regional data are subjected to data conversion according to preset data conversion rules.

[0038] In one embodiment, the business classification includes user service and relationship, electricity fee management, electric energy metering information collection, and market and demand side information collection; and the theme classification includes user theme, service theme, operation theme, business resource theme, big data analysis theme, and basic business theme. In fact, more business classification and theme classification can be set according to actual needs of users.

[0039] In one embodiment, the data tag system is generated according to the power network topology structure.

[0040] S3: The power grid data is associated with each data tag, and an index management system is established according to the data tag system.

[0041] In order to realize accurate searching, specifically, in one embodiment, the step is specifically: the power grid data is associated with the data tag to generate corresponding power grid statistical data; the index management system is established according to the data tag system, and the index management system is associated with the power grid statistical data.

[0042] Embodiments of the present application describe an index management method of power grid data, which unifies to call the power grid data to be managed from a data storage module, performs hierarchical classification analysis on the power grid data to obtain a power topology structure of the power grid data and a data tag system, and associates the power grid data with the data tag system to establish an index management system for data statistical management. The index management method, device and system improve the efficiency of statistical management of the power grid data. Specific embodiment two

[0044] Further, embodiments of the present application also describe another index management method of power grid data. Figure 2 Fig. 1 shows a flowchart of another embodiment of an index management method of power grid data according to the present application.

[0045] As Figure 2 shown, the method includes the following steps:

[0046] A1: According to a preset hierarchical classification method and characteristics of the power grid data, the power grid data is subjected to hierarchical classification, and corresponding data tags are set according to the classification result, so as to obtain a data tag group.

[0047] Due to the mass and diversity of power grid data, it is necessary to set labels for power grid data according to preset label setting rules so as to facilitate subsequent big data analysis. The preset label setting rules can be classified according to the application scenarios of the power industry (for example, it can be classified into user service and relationship, electricity management, electric energy metering information collection and market and demand side business fields), and can also be classified according to the supported applications and themes, and then corresponding labels are set.

[0048] In one embodiment, the setting of the data labels of the power grid data can be performed by using clustering and classification algorithms. Specifically, in one embodiment, the power grid data is subjected to clustering analysis to obtain corresponding clustering results, and corresponding clustering data labels are generated according to the clustering results.

[0049] In one embodiment, the preset hierarchical classification method includes K-means clustering algorithm, fuzzy C-means clustering algorithm and fusion clustering algorithm. Through the above method, the power grid data of unknown classification can be classified, and corresponding clustering data labels are set according to the classification results. The embodiment of the application associates the classification data labels and the clustering data labels with the corresponding power grid data, and corresponds to the power grid data label system, so that the obtained power grid data label system is more comprehensive and more accurate.

[0050] A2: retrieve the power grid data to be managed and the preset data label group from the data storage module.

[0051] In the prior art, from the structure, the power grid data required to be used generally includes structured data, unstructured data and semi-structured data and the like; from the data nature, the power grid data includes voltage level, power user basic profile data, business work order information, electricity record information, channel contact record, electricity collection information, electricity payment time, electricity payment method, user basic data, business work order information, electricity record information, channel contact record, electricity collection information, electricity payment time, electricity payment method, electricity payment delay time, maximum instantaneous power information, voltage level, electricity data, metering collection data and power user profile data.

[0052] However, due to the different types of each database in the prior art, even the entity representation and description are not the same, which causes conflicts and delays in creating power grid big data, and in order to solve the above problems, the embodiment of the application directly retrieves the power grid data from the data storage module. The power grid data in the data storage module is processed into a unified data standard format according to the pre-set data mapping table.

[0053] In one embodiment, the preset data label group comprises a plurality of data labels, which are obtained by setting the power grid data according to data type, geographical source and time characteristics.

[0054] A3: According to the preset classification analysis method, the power grid data is classified and analyzed to obtain the power network topology structure and the data label system corresponding to the power grid data.

[0055] After the power grid data to be managed is retrieved, the power grid data needs to be classified by classification analysis algorithm according to business classification, geographical classification, time classification and theme classification. After the hierarchical classification, the corresponding data label can be determined according to the hierarchical classification result, and the power network topology structure is obtained. Finally, the logical relationship between different data labels is determined according to the hierarchical nodes of the power network topology structure.

[0056] In one embodiment, the classification analysis algorithm includes decision tree algorithm, logistic regression algorithm and other common algorithms in prior art.

[0057] In one embodiment, before hierarchical classification, the geographical data corresponding to the power grid data also needs to be obtained, and the power grid data and the geographical data are converted according to the preset data conversion rule.

[0058] In one embodiment, the business classification includes user service and relationship, electricity charge management, electric energy metering information collection and market and demand side information collection; the theme classification includes user theme, service theme, operation theme, business resource theme, big data analysis theme and basic business theme. In fact, more business classification and theme classification can be set according to the actual needs of users.

[0059] In one embodiment, the data label system is established and generated according to the power network topology structure.

[0060] A4: The power grid data is associated with each data label, and an index management system is established according to the data label system.

[0061] In order to realize accurate search, specifically, in one embodiment, the step is specifically: the power grid data is associated with the data label to generate corresponding power grid statistical data; the index management system is established according to the data label system, and the index management system is associated with the power grid statistical data.

[0062] In one embodiment, when the index management system established by the foregoing step is used to index manage the power grid data, the index management method further comprises the following steps:

[0063] a: obtaining the management object to be managed and the management operation;

[0064] b: according to the management object and the index management system index call corresponding first power grid data, and according to the management operation, the first power grid data management.

[0065] The accuracy of the data tag system determines the correctness and efficiency of subsequent index management of data, therefore, the accuracy of the data tag system is crucial, in order to ensure its accuracy, after obtaining the data tag system, the data tag system can be verified and detected.

[0066] Specifically, first, the uniqueness of the label semantics of the data tag is determined, by detecting the label semantics of the data tag, it is judged whether the label semantics corresponding to different data tags are the same, so as to ensure that the data tags corresponding to different power grid data with different classification results are different; second, the level hierarchy of different data tags is detected, at this time, the data tag system needs to be detected for label semantic conflict, so as to determine the label level corresponding to different data tags. The label level can be determined according to the power network topology and business classification, regional classification, time classification and theme classification.

[0067] On the basis of the above, in one embodiment, in order to verify whether the logical relationship between each data tag in the data tag system is correct, so as to improve the accuracy of the index management by improving the accuracy of the data tag system, the index management method further comprises the following steps:

[0068] C101: label semantic conflict detection is performed on the data tag system, so as to determine the label level corresponding to each data tag respectively;

[0069] C102: according to the label level and the power network topology, it is verified and judged whether the logical relationship between each data tag in the data tag system is correct;

[0070] C103: if there is a logical relationship error between two first data tags, then according to the label level of the two first data tags respectively, the data tag system is corrected.

[0071] In one embodiment, in order to further improve the stability and security of the index management system, the index management method further comprises: according to the preset time, the power grid statistical data and the corresponding index are data disaster backup.

[0072] The embodiment of the present application describes another index management method of power grid data, which unifies the power grid data to be managed from the data storage module, classifies and analyzes the power grid data to obtain the power topology structure and the data label system of the power grid data, and associates the power grid data with the data label system to establish an index management system for data statistical management, which improves the efficiency of the statistics and management of the power grid data. Further, the embodiment of the present application describes an index management method of power grid data, which verifies the label level of the data label in the data label system to verify whether the logical relationship between each data label in the data label system is correct, thereby improving the accuracy of the index management by improving the accuracy of the data label system. Specific embodiment three

[0074] In addition to the above method, the embodiment of the present application also describes an index management device of power grid data. Figure 3 The structure diagram of one embodiment of an index management device of power grid data according to the present application is shown.

[0075] As shown in the figure, the index management device includes a data acquisition unit 11, a classification and analysis unit 12, and an association index unit 13.

[0076] The data acquisition unit 11 is used to retrieve the power grid data to be managed and the preset data label group from the data storage module. The data label group includes a plurality of data labels.

[0077] The classification and analysis unit 12 is used to classify and analyze the power grid data according to the preset classification and analysis method to obtain the power network topology structure and the data label system corresponding to the power grid data. The data label system is generated according to the power network topology structure.

[0078] The association index unit 13 is used to correspondingly associate the power grid data with each data label, and establish an index management system according to the data label system.

[0079] When it is necessary to establish an index of power grid data for subsequent efficient statistical management, first, the data acquisition unit 11 retrieves the power grid data to be managed and the preset data label group from the data storage module; then, the classification and analysis unit 12 classifies and analyzes the power grid data according to the preset classification and analysis method to obtain the power network topology structure and the data label system corresponding to the power grid data; finally, the association index unit 13 correspondingly associates the power grid data with each data label, and establishes an index management system according to the data label system.

[0080] In one embodiment, the index management apparatus further comprises a label setting unit configured to classify the power grid data according to a preset classification method and characteristics of the power grid data, and set corresponding data labels according to the classification results, thereby obtaining a data label group.

[0081] In one embodiment, the index management apparatus further comprises a logic detection unit configured to perform label semantic conflict detection on the data label system, thereby determining label levels corresponding to each data label, verify whether the logic relationship between each two data labels in the data label system is correct according to the label levels and the power grid topology structure, and correct the data label system according to the label levels of two first data labels if there is a logic relationship error between the two first data labels.

[0082] In one embodiment, the index management apparatus further comprises a data backup unit configured to perform data disaster recovery backup on the power grid statistical data and corresponding indexes according to a preset time.

[0083] In one embodiment, the index management apparatus further comprises a management operation unit configured to obtain a management object to be managed and a management operation, retrieve corresponding first power grid data according to the management object and the index management system, and manage the first power grid data according to the management operation.

[0084] Embodiments of the present application describe an index management apparatus for power grid data, which retrieves power grid data to be managed from a data storage module, classifies and analyzes the power grid data to obtain a power topology structure and a data label system, and associates the power grid data with the data label system to establish an index management system for data statistical management, thereby improving the efficiency of power grid data statistical management. Further, the index management apparatus for power grid data described in embodiments of the present application verifies the label levels of data labels in the data label system to verify whether the logic relationship between each two data labels in the data label system is correct, thereby improving the accuracy of the index management by improving the accuracy of the data label system. Specific Embodiment Four

[0086] In addition to the above method and apparatus, embodiments of the present application further describe an index management system for power grid data. Figure 4 FIG. 1 shows a structural diagram of one embodiment of an index management system for power grid data according to the present application.

[0087] As shown in the figure, the index management system comprises an index management module 1, a user interaction module 2 and a data storage module 3, which are communicatively connected to each other.

[0088] The index management module 1 is configured to perform the index management method of power grid data as described above, thereby establishing an index management system to index manage the power grid data.

[0089] The user interaction module 2 is configured to receive an index establishment instruction sent by a user, retrieve corresponding second power grid data from the data storage module 3 according to the index establishment instruction, and send the second power grid data as the power grid data to be managed to the index management module 1, and receive an index management instruction sent by the user. In an embodiment, the index management instruction comprises a management object and a management operation. In an embodiment, the user interaction module 2 comprises a touch display screen / non-touch display screen, an input keyboard, a virtual keyboard, an indicator light, a microphone, a receiver, and a combination of one or more of the foregoing.

[0090] The data storage module 3 is configured to store all power grid data. In an embodiment, the data storage module 3 comprises a data hub.

[0091] The embodiment of the present application describes an index management system of power grid data, which retrieves the power grid data to be managed from the data storage module, classifies and analyzes the power grid data to obtain the power topology of the power grid data and the data label system, and associates the power grid data with the data label system to establish an index management system for data statistical management, which improves the efficiency of the statistical and management of the power grid data. Further, the index management system described in the embodiment of the present application further verifies the label level of the data label in the data label system to verify whether the logical relationship between each data label in the data label system is correct, thereby improving the accuracy of the index management by improving the accuracy of the data label system.

[0092] The above-described specific embodiments further illustrate the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above-described specific embodiments are only for the specific embodiments of the present application and are not intended to limit the protection scope of the present application. It is particularly pointed out that any modification, equivalent replacement, improvement, etc. made by those skilled in the art within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for indexing and managing power grid data, characterized in that, The index management method includes: The system retrieves the power grid data to be managed and a preset data tag group from the data storage module; the data tag group includes multiple data tags. According to a preset classification and parsing method, the power grid data is classified and parsed in a hierarchical manner to obtain the power network topology and data tag system corresponding to the power grid data; the data tag system is generated by establishing multiple data tags based on the power network topology. The step of classifying and parsing the power grid data according to a preset classification and parsing method to obtain the power network topology and data tagging system corresponding to the power grid data includes: after retrieving the power grid data to be managed, classifying the power grid data according to business classification, regional classification, time classification, and theme classification, and classifying the power grid data according to a classification analysis algorithm; after classification, determining the corresponding data tags according to the classification results and obtaining the power network topology; and determining the logical relationship between different data tags according to the hierarchical nodes of the power network topology. The power grid data is associated with various data tags, and an index management system is established based on the data tag system.

2. The method for indexing and managing power grid data according to claim 1, characterized in that, The index management method also includes: Retrieve the objects to be managed and the management operations; The first power grid data is retrieved according to the management object and the index management system index, and the first power grid data is managed according to the management operation.

3. The method for indexing and managing power grid data according to claim 2, characterized in that, Before retrieving the power grid data to be managed and the preset data tag group from the data storage module, the index management method further includes: Based on the preset classification method and the various characteristics of power grid data, the power grid data is classified into different levels, and corresponding data labels are set according to the classification results to obtain data label groups.

4. The method for indexing and managing power grid data according to claim 3, characterized in that, After classifying and parsing the power grid data according to a preset classification and parsing method to obtain the power network topology and data tagging system corresponding to the power grid data, the index management method further includes: The data tagging system is subjected to semantic conflict detection to determine the tag level corresponding to each data tag. Based on the label level and the power network topology, verify whether the logical relationship between each pair of data labels in the data label system is correct. If there is a logical relationship error between two first data tags, the data tag system is corrected according to the tag level of each of the two first data tags.

5. The method for indexing and managing power grid data according to claim 4, characterized in that, The power grid data is associated with various data tags, and an index management system is established based on the data tag system, specifically as follows: The power grid data is associated with the corresponding data tags to generate corresponding power grid statistical data. An index management system is established based on the data tagging system, and the index management system is associated with the power grid statistical data.

6. The method for indexing and managing power grid data according to any one of claims 1-5, characterized in that, The index management method also includes: Data disaster recovery backups of the power grid statistical data and corresponding indexes are performed periodically according to a preset time.

7. A power grid data indexing and management device, characterized in that, The index management device includes a data acquisition unit, a classification and parsing unit, and an associated index unit, wherein... The data acquisition unit is used to retrieve the power grid data to be managed and a preset data tag group from the data storage module; the data tag group includes multiple data tags; The classification and parsing unit is used to classify and parse the power grid data according to a preset classification and parsing method to obtain the power network topology and data tag system corresponding to the power grid data; the data tag system is generated by establishing multiple data tags based on the power network topology. The step of classifying and parsing the power grid data according to a preset classification and parsing method to obtain the power network topology and data tagging system corresponding to the power grid data includes: after retrieving the power grid data to be managed, classifying the power grid data according to business classification, regional classification, time classification, and theme classification, and classifying the power grid data according to a classification analysis algorithm; after classification, determining the corresponding data tags according to the classification results and obtaining the power network topology; and determining the logical relationship between different data tags according to the hierarchical nodes of the power network topology. The associated index unit is used to associate the power grid data with each data tag and to establish an index management system based on the data tag system.

8. The power grid data indexing and management device according to claim 7, characterized in that, The index management device also includes a tag setting unit, which is used to classify the power grid data according to a preset classification method and various characteristics of the power grid data, and set corresponding data tags according to the classification results to obtain a data tag group.

9. The power grid data indexing and management device according to claim 8, characterized in that, The index management device further includes a logic detection unit, which is used for: The data tagging system is subjected to semantic conflict detection to determine the tag level corresponding to each data tag. Based on the label level and the power network topology, verify whether the logical relationship between each pair of data labels in the data label system is correct. If there is a logical relationship error between two first data tags, the data tag system is corrected according to the tag level of each of the two first data tags.

10. A power grid data indexing and management system, characterized in that, The index management system includes an index management module, a user interaction module, and a data storage module. These modules are communicatively connected. The index management module is used to execute the index management method for power grid data as described in any one of claims 1-6, thereby establishing an index management system for index management of power grid data; The user interaction module is used to receive an index creation instruction sent by a user, retrieve the corresponding second power grid data from the data storage module according to the index creation instruction, and send the second power grid data as power grid data to be managed to the index management module; and receive an index management instruction sent by a user; the index management instruction includes a management object and a management operation; The data storage module is used to store all power grid data.

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