Research on Gas Emergency Disposal Method Based on Knowledge Graph

When a gas accident occurs, relevant departments need to quickly determine an effective decision-making and disposal plan. However, most of the current gas accident emergency response plans are stored in text form. On-site disposal personnel need to consult a large number of texts to determine the corresponding disposal measures, and the timeliness is poor. In order to improve the reusability and flexibility of the gas emergency response plan stored in the form of text, and overcome the shortcomings of poor timeliness, this paper constructs a top-down and bottom-up gas emergency response knowledge graph. According to the classification of gas accident cases, a knowledge graph is constructed by combining TextRank keyword extraction, expert experience and semantic role labeling, and the feasibility of the method is verified by cases. This will be a promising decision-making method for gas emergency disposal.