Research on Mine Heat Hazard Risk Assessment and Response Strategies Driven by Advanced Data Analysis

The timeliness of the mine thermal hazard risk device data response method system is a kind of energy, resource limited network system, realize the key factors in mine thermal hazard risk energy balance extend the life cycle of the mine thermal hazard risk of the timely response method of system design. This study is based on the practice of mine thermal hazard risk assessment and distribution system of mine thermal hazard risk device driven based on advanced data analysis, and provides several optimization schemes. Among them, the current energy situation of the key factor is considered as a factor in assessing the possibility of conversion, thus enhancing the sustainability of the key factors of the efficient approach in the process of mine thermal hazard risk. Based on the geographic location data of key factors, these data are integrated into the calculation of transition probability, so that key factors remain direction in the process of finding methods. In this study, advanced data analysis drive is used to simulate the optimization strategy, and then compared with the preliminary ACO algorithm. The simulation results show that the optimized strategy is optimized compared with the other two algorithms in terms of increasing the life of key factors and ensuring the energy balance of mine thermal hazard risk.