Thermal risk assessment in the mine of TOPSIS based on game theory subjective and objective comprehensive weighting

Mine heat damage poses a huge threat to miners' health and underground safety. To help mine managers assess the thermal risk of mines, we propose a TOPSIS evaluation method based on game-theoretic synthesized weighting. Eleven evaluation indexes were identified from three aspects of mine heat source, mine heat environment parameters, and miners' indicators, and a comprehensive evaluation system of mine heat risk was constructed. The ACE-TOPSIS comprehensive evaluation model was established by integrating subjective and objective assignment methods, using the analytic hierarchy process (AHP) assignment for subjectivity and CRITIC and entropy weighting method (EWM) assignment for objectivity, and determining the thermal risk level of the mine by calculating the relative closeness of the assessment object. In the end, the model was utilized to assess and analyze the thermal risk level of 12 workings in an iron ore mine. The results show that wind flow temperature, labor time, and heat release of surrounding rock are the main influencing parameters for thermal risk assessment; the accuracy of the evaluation results of the model is as high as 91.67%, and the method meets the application requirements of the actual project and can guide the working face to take corresponding thermal risk control measures. The model provides technical support for mine thermal risk assessment, prevention and management, and is of vital significance for enhancing mine safety production.