Electric power safety production hidden danger pre-control method based on knowledge graph

Abstract

An electric power safety production hidden danger pre-control method based on a knowledge graph comprises the steps that a related electric power production safety hidden danger knowledge sample set is extracted through a natural language preprocessing technology, and information is preprocessed through a feature extraction algorithm; constructing a power production safety knowledge model based on the knowledge graph; the generated accident potential safety hazard and safety information record relation knowledge base is stored in an Elasticsearch database; and training the continuously input processed power production safety information candidate set through a deep learning technology, obtaining a knowledge reasoning network chain by using a trained model, putting the obtained training result set into a power production safety record knowledge base for matching one by one, and performing knowledge reasoning analysis to obtain an analysis result. According to the invention, the efficiency of potential safety hazard information management can be improved, pre-control and prevention of potential hazard events are realized, personal safety in the production operation process is ensured, and production safety accidents are avoided.

Description

technical field [0001] The invention relates to a method for pre-controlling hidden dangers in electric power safety production based on knowledge graphs. Background technique [0002] The characteristics of high risk, disorder and complexity, and large amount of information in the production of electric power enterprises make it an industry with a high incidence of safety accidents. Although the relevant laws and regulations and safety regulations of the electric power industry play a positive role in preventing accidents, electric safety accidents occur from time to time. In 2018, the National Energy Administration issued the "2017 National Electricity Safety Accident Report". According to the statistics of accident causes: 32 cases of 40 deaths caused by violation of operating procedures, 6 cases of 6 deaths caused by lack of safety devices, and 4 cases of defective equipment and facilities 5 people died, and 4 deaths were caused by unreasonable labor organization. Viola...

AI Technical Summary

Problems solved by technology

[0004] 2. The enterprise's emergency plan for various failures is not perfect, and the elimination of most hidden dangers still relies on experience, lacking systematic and standardized emergency plan measures

[0005] 3. After discovering hidden dangers in power production, there is still a lack of a complete rapid hidden danger pre-control mechanism to guide operators to rectify existing problems more efficiently

During the normal operation of the enterprise, it is impossible to give early warning of possible hidden dangers in a timely manner, and the rectification of hidden dangers lacks intelligent management, resulting in the failure to eliminate hidden dangers in a timely and comprehensive manner

Failure to fully integrate various information, evaluate and predict the situation and risks of enterprise safety production, and achieve rapid early warning and response to hidden troubles

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