Evaluation of Safety Control Capacity of Metal Mining Enterprises Based on CWM-TOPSIS Model
The metal mine is an important industry type for China's social-economic development in China.In recent years,mines have been constructing safety digitalization,and improving the level of mine safety management and control capacity is the key aspect of achieving enterprise transformation and high-quality development.The Internet of Things,cloud computing,roboticized equipment,and modern mining deve-lopment,safety production and other technologies are deeply integrated,gradually forming an intelligent security control system that integrates situational awareness,dynamic prediction,and intelligent warning.During this process,metal mining enterprises still face problems such as lack of safety management,unclear decision-making targets,and frequent safety accidents.Therefore,during the construction of metal mine safety digi-talization,a new evaluation index system for metal mine safety control capacity was proposed.The CWM method was used to comprehensively analyze the influencing factors of the safety control capacity of metal mining enterprises,and the CWM-TOPSIS method was used to construct an evaluation model for the safety control capacity of metal mines.The safety management and control capacity of five gold enterprises in Shandong Province was evaluated.AHP-TOSIS and EWM-TOPSIS model were used to verify the CWM-TOSIS model.The results show that the order of the most significant indicators affecting the safety management and control capacity of metal mining enterprises is emergency response ability(x11)＞safety technology level(x10)＞risk intelligent early warning ability(x13),and Enterprise 1 has the highest safety control capacity,which is consistent with the actual situation.The model and method can be adapted to the safety control capacity evaluation of metal mines.
metal mining enterprisessafety control capacityentropy weight methodcombination weightingTOPSIS methodapproximate ideal solution
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