Thermal Environment Simulation and Safety Prewarning of Hot Mines Based on Big Data

Abstract

In deep mines, thermal disasters pose a serious threat to the health and production efficiency of underground workers. It is of certain safety and economic significance to numerically simulate the thermal environment of hot mines. The existing studies are limited in that they only consider a single air flow velocity field or thermal field, or a single heat source. To overcome the limitation, this paper collects the big data on the temperature and humidity of smart coalmines, and numerically simulates the thermal environment in hot mines. Firstly, the authors analyzed the heat sources, including relative heat sources like the hot surrounding rock and hot water, and absolute heat sources like electromechanical equipment, chemical reactions, and the self-compression of the airflow. Next, the thermal environment of the hot mine was simulated by the Lattice Boltzmann method, and the flow state of the hot fluid in the roadways was analyzed in details. The proposed numerical simulation approach was proved effective through experiments, providing a reference for the safety prewarning of hot mines.