Knowledge graph construction method for power grid main equipment

Abstract

The invention discloses a knowledge graph construction method and device for power grid main equipment, and belongs to the technical field of power grid operation and inspection. Through continuous exploration and test, basic information, operation data and operation content of power grid main equipment are subjected to structured processing, knowledge triple extraction, ontology construction and knowledge graph completion and reasoning of the power grid main equipment are achieved through a system tool, and then a knowledge graph of the power grid main equipment is constructed; the method is suitable for the power grid equipment, can be applied to a power grid operation and maintenance management and control platform, can provide an auxiliary decision for operation and maintenance commanders, effectively improves the processing capability of personnel and equipment abnormality and faults, improves the quality and efficiency of knowledge analysis and processing of the power grid equipment, reduces the operation and maintenance cost of the power grid equipment, and improves the power transformation operation and maintenance efficiency. According to the invention, the knowledge mining capability and the intelligent analysis service capability of the equipment management business can be effectively improved, and the informatization and intelligence level project range of power grid operation and maintenance is comprehensively improved.

Description

technical field

[0001] The invention relates to a method and equipment for constructing a knowledge map of main equipment of a power grid, and belongs to the technical field of power grid operation inspection. Background technique

[0002] Chinese patent (publication number CN111984643A) discloses a knowledge map construction method, device, knowledge map system and equipment. The method includes: receiving the basic knowledge map and storing it in the first storage area. The basic knowledge map is used to generate time-sensitive The reasoning knowledge graph; obtain the reasoning rule set, which is used to show the rules that need to be used to generate the reasoning knowledge graph based on the basic knowledge graph; generate the reasoning knowledge graph according to the basic knowledge graph and the reasoning rule set, and store the reasoning knowledge graph To the second storage area; merge the basic knowledge graph and the reasoning knowledge graph to obtain the first ...