基于全风网的矿井风温预测方法研究

摘要

In order to improve the air temperature prediction accuracy, based on the coupling relationship between air temperature and air volume, the forecast method of mine ventilation network is researched. In view of multiple heat sources and single tunnel air temperature prediction model are analyzed, the ventilation air volume and air temperature of the coupling and iteration decoupling methods are studied, and the corresponding calculation analysis software is compiled. Through basic parameters measured on site, the mine air temperatures are simulated. The simulation results are in good agreement with the measured wind temperature. The results show that the method can accurately predict the air temperature and the natural wind pressure under the whole mine ventilation network.%为提高井下风温预测精度,基于风温与风量之间的耦合关系,研究了矿井全风网预测方法.针对多种热源、 单一巷道风温预测模型进行分析,研究了风网中风量与风温的耦合关系及迭代解耦方法,并编制了相应的计算分析软件.通过现场数据基础参数测定与模拟计算风温,与实测风温对比,数据吻合较好,结果表明该方法能够准确对矿井全风网下的风温、 自然风压进行预测.