Prediction of heat resources based on air-flow temperature for deep mining

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 thresh?old. By comparing field monitoring results with the model prediction data, it, the method shows well reliability for evaluated thermal environment in deep resources mining.