工矿自动化2024,Vol.50Issue(2):153-160,8.DOI:10.13272/j.issn.1671-251x.18148
煤矿工作面安全状态评价指标赋权策略研究
Research on weighting strategies for safety status evaluation indicators in coal mine working faces
摘要
Abstract
Accurate evaluation of the safety status of the working face can promote the improvement of mine safety management level and disaster prevention and resilience.Using CH4 concentration,CO2 concentration,CO concentration,O2 concentration,temperature,and wind speed as evaluation indicators,the safety status of the working face is evaluated and analyzed.To reasonably determine the weight of evaluation indicators and improve the accuracy of safety evaluation results,the fuzzy analytical hierarchy process(FAHP)is used to calculate the subjective weight of evaluation indicators,and the G-GRITIC method is used to calculate the objective weight of indicators.The combination weighting method based on improved game theory(IGT)combines subjective weight with objective weight to obtain the combination weight of evaluation indicators,solving the problem of inconsistent subjective and objective information in the decision-making process.Based on the data collected by the safety monitoring system of the 209 fully mechanized working face of Shaanxi Huangling No.2 Coal Mine Co.,Ltd.,experimental verification is conducted on the IGT based combination weighting method.The results show that this method effectively avoids the subjective judgment of linear weighting method and average weighting method,optimizes the deviation results of the game theory(GT)combination weighting method.It obtains more reasonable evaluation indicators,which can obtain more accurate evaluation results of the safety status of the coal mine working face.关键词
煤矿工作面/安全状态评价/评价指标赋权/主观权重/客观权重/组合赋权/博弈论Key words
coal mine working face/safety status evaluation/evaluation indicators weighting/subjective weight/objective weight/combination weighting/game theory分类
矿业与冶金引用本文复制引用
王猛,刘树林..煤矿工作面安全状态评价指标赋权策略研究[J].工矿自动化,2024,50(2):153-160,8.基金项目
国家重点研发计划项目(2023YFC3009800). (2023YFC3009800)