Classification analysis and quantitative efficacy evaluation of coal mine accident prevention measures
LI Shihui
SHEN Tao
QIN Ruxiang
ZHANG Dezhi
MA Yingjie
Abstract：Coal mine accident prevention measures are of extremely crucial significance for safeguarding the lives of miners and en-suring the stable operation of coal mines.Assessing the efficacy of these measures is a core component in optimizing accident pre-vention strategies and enhancing prevention capabilities.However,current accident prevention measures lack systematic means for efficacy validation,making it difficult to precisely quantify their actual impact.This study focuses on this issue,conducting a com-prehensive analysis of accident prevention measures and developing a quantitative model for efficacy assessment from a resource perspective.The study thoroughly reviewed the research,practice,and evaluation status of coal mine accident prevention measures,categorizing them into six types:technical,managerial,regulatory and policy,economic incentive,social participation,and emer-gency response measures.The differences in resource utilization among these types were carefully analyzed.Based on this analysis,a quantitative model for assessing the effectiveness of coal mine accident prevention measures was developed,incorporating four in-dicators:types of resource allocation,allocation ratios,effectiveness duration,and utilization capabilities.Taking Pan'er Mine of Huainan Mining Group as a case study,the efficacy value of its accident prevention measures was calculated using a combination of expert ratings,questionnaires,and on-site data.A refined resource allocation plan was then proposed as the output of the model,di-viding resources into eight categories:human,technical,financial,material,physical,informational,managerial,and emergency re-sources.The efficacy of the optimized plan was re-evaluated.By comparing the results before and after optimization,suggestions for improving accident prevention measures were put forward.Additionally,the data validity of eight key indicators within the model was examined to verify the accuracy and rationality of the model results.The study results indicate that the efficacy value increased from 1.235 5 before optimization to 1.300 4 after optimization.The quantitative model can effectively assess the efficacy level of coal mine accident prevention measures and provide an optimization direction for resource allocation plans.
Keywords：accident prevention measuressafe managementquantitative efficiency modeloptimization of resource allocationsafety assessment
Publication Date：2026-01-20
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：10( 247-256 )