TY - JOUR
TI - Prediction of heat resources based on air-flow temperature for deep mining
AU - Jiang Peng
AU - Hou Xiao-Xu
AU - Ji Hong-Guang
AU - Wang Jun-Tao
AU - Li Chang
JN - Thermal Science
PY - 2025
VL - 29
IS - 2
SP - 1173
EP - 1178
PT - Article
AB - The strata temperature has over 40˚C in the depth over 800 m of metal mine,  it seriously affects the efficiency of excavation. In this paper, heat  sources in deep space are systematically analyzed, and the heat calculation  model are achieved and its release rules evaluated. According to field  monitoring, the thermal influencing factors of shaft, horizontal gallery  and excavation surface are investigated. Through numerical-analysis, the  “assumption-correction” iterative trial algorithm is studied to calculate  air-flow temperature, a set of prediction index is established, which can  predict air-flow temperature and judge heat level face with temperature  thresh­old. By comparing field monitoring results with the model prediction  data, it, the method shows well reliability for evaluated thermal  environment in deep resources mining.