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Construction method of intelligent power grid big data knowledge graph

A technology of knowledge graph and construction method, which is applied in the direction of electronic digital data processing, data processing application, digital data information retrieval, etc., can solve the problems of data structure differences, difficult query statement editing, slow query speed, etc., and achieve efficient analysis Effect

Pending Publication Date: 2020-10-02
STATE GRID ZHEJIANG ELECTRIC POWER
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Problems solved by technology

For example, in a power grid system, if you want to know whether the failure of a device will affect a certain key device, if you use a traditional relational database to perform query operations in multiple tables, you need to know the relationship path between the two devices in advance , it is difficult to edit the query statement, and due to the difference in the data structure, the query speed is extremely slow

Method used

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  • Construction method of intelligent power grid big data knowledge graph
  • Construction method of intelligent power grid big data knowledge graph
  • Construction method of intelligent power grid big data knowledge graph

Examples

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Embodiment 1

[0027] The embodiment of this application proposes a method for constructing a smart grid big data knowledge map, such as figure 1 As shown, the construction method includes:

[0028] 11. Obtain the grid equipment information and the connection relationship between grid equipment with Neo4j from the grid equipment;

[0029] 12. Based on the historical topological database, perform data cleaning on the obtained grid equipment information;

[0030] 13. Model the cleaned data according to the connection relationship between grid equipment;

[0031] 14. Perform topology search and analysis on the established model to obtain the knowledge map of the topology relationship between target devices.

[0032] The power network is huge and complex, and query operations using traditional databases are extremely slow and perform poorly. The use of knowledge graph technology can significantly improve the effectiveness of knowledge retrieval and make the retrieval results more comprehensiv...

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Abstract

The embodiment of the invention provides a construction method of a big data knowledge graph of a intelligent power grid. The construction method comprises the steps of obtaining power grid equipmentinformation and a connection relationship between power grid equipment from the power grid equipment by Neo4j; performing data cleaning on the acquired power grid equipment information based on a historical topology database; modeling the cleaned data according to the connection relationship between the power grid equipment; and performing topology search analysis on the established model to obtain a topology relationship knowledge graph between the target devices. Different knowledge models can be quickly constructed according to service requirements, hidden values in information of electricpower big data can be discovered, and efficient analysis of cross-region, cross-time and cross-space information resource panoramic data can be realized.

Description

technical field [0001] The invention belongs to the field of graph construction, and in particular relates to a method for constructing a smart grid big data knowledge graph. Background technique [0002] The power network is huge and complex, and query operations using traditional databases are extremely slow and perform poorly. The use of knowledge graph technology can significantly improve the effectiveness of knowledge retrieval and make the retrieval results more comprehensive and accurate. It can systematically understand the user's query intent and directly return accurate answers instead of a large number of search results. This patent develops an intelligent retrieval system for power grid knowledge on the basis of power grid knowledge graphs. For example, in a power grid system, if you want to know whether the failure of a device will affect a certain key device, if you use a traditional relational database to perform query operations in multiple tables, you need ...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/215G06Q50/06
CPCG06F16/367G06F16/215G06Q50/06Y04S10/50
Inventor 洪建光黄海潮谢裕清王红凯张辰毛冬陈利跃孔晓昀倪阳旦周昕悦
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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