A Neo4j-based power grid equipment information management method

Abstract

The embodiment of the invention provides a Neo4j-based power grid equipment information management method, which comprises the following steps of: obtaining input contents of a knowledge graph, and extracting knowledge units from the input contents; Performing semantic description on the extracted knowledge units according to a resource description framework, and determining complex semantic association between efficient computing entities in a low-dimensional space; And performing database modeling based on the Neo4j data model on the obtained complex semantic association content, and determining a topological relation between the power grid equipment according to the established model. Equipment information management is carried out through Neo4j, so that the integrity of data can be ensured; Topological characteristics of a power grid are considered, the problems of low concurrent read-write performance, inflexible increase and decrease of model attributes, low topological analysisperformance and the like when a relational database is used for power grid equipment information management are solved, and the power grid equipment information retrieval and extraction efficiency isimproved.

Description

technical field [0001] The invention belongs to the field of information management, in particular to a Neo4j-based grid equipment information management method. Background technique [0002] Power grid information is the basis for supporting the normal operation of the power grid. There are various forms of grid equipment ledger information. With the continuous development of grid intelligence and informatization, the number and types of power equipment are increasing rapidly, and equipment replacement is also getting faster and faster. Tracking of equipment Issues such as management and maintenance support have become increasingly prominent. Traditional power grid information systems mostly use relational databases for data storage, and the relationship between data entities is stored in entity attributes in the form of primary keys and foreign keys, which is inefficient when performing complex connections and nested queries. Especially in the context of the rapid increas...

AI Technical Summary

Problems solved by technology

Traditional power grid information systems mostly use relational databases for data storage, and the relationship between data entities is stored in entity attributes in the form of primary keys and foreign keys, which is inefficient when performing complex connections and nested queries

Especially in the context of the rapid increase in data size and data complexity, it cannot adapt well to the dynamics of grid equipment information, which may easily lead to problems such as data redundancy and performance loss, and it is also difficult to support devices like "(connected) equipment". Multi-level complex data structure query

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