{"title":"Multi-factor coupling risk assessment method in relation to coal mine gas explosion","authors":"Huimin Guo, Shugang Li, Lianhua Cheng","doi":"10.1016/j.jlp.2025.105648","DOIUrl":null,"url":null,"abstract":"<div><div>The coal mine gas explosion accident is due to the interaction of risk factors. Considering the weaknesses in the multi-factor coupling risk measurement and control in the evolution process of gas explosion accidents, this study proposes a multi-factor coupling risk measurement method for gas explosion employing case analysis, on-site investigation, and theoretical research. Firstly, the grounded theory was used to analyze 125 cases of large and above gas explosion accidents, and a gas explosion risk assessment index system was established. Then, combined with the risk coupling theory, the interaction between risk factors was analyzed, and a multi-factor coupling risk assessment model for gas explosion based on the C-OWA operator and interaction matrix was constructed. Finally, the coal mine is selected for on-site inspection and application. The results show that the calculation results of the assessment model are consistent with the actual situation on site, which has certain rationality and feasibility. In addition, this method can avoid the occurrence of gas explosion accidents since the single risk factor does not break through the threshold, and the coupling risk value exceeds the system threshold, which plays an important role in the advanced control and prediction of coal mine gas explosion risk.</div></div>","PeriodicalId":16291,"journal":{"name":"Journal of Loss Prevention in The Process Industries","volume":"96 ","pages":"Article 105648"},"PeriodicalIF":3.6000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Loss Prevention in The Process Industries","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0950423025001068","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
The coal mine gas explosion accident is due to the interaction of risk factors. Considering the weaknesses in the multi-factor coupling risk measurement and control in the evolution process of gas explosion accidents, this study proposes a multi-factor coupling risk measurement method for gas explosion employing case analysis, on-site investigation, and theoretical research. Firstly, the grounded theory was used to analyze 125 cases of large and above gas explosion accidents, and a gas explosion risk assessment index system was established. Then, combined with the risk coupling theory, the interaction between risk factors was analyzed, and a multi-factor coupling risk assessment model for gas explosion based on the C-OWA operator and interaction matrix was constructed. Finally, the coal mine is selected for on-site inspection and application. The results show that the calculation results of the assessment model are consistent with the actual situation on site, which has certain rationality and feasibility. In addition, this method can avoid the occurrence of gas explosion accidents since the single risk factor does not break through the threshold, and the coupling risk value exceeds the system threshold, which plays an important role in the advanced control and prediction of coal mine gas explosion risk.
期刊介绍:
The broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals.