基于全风网的矿井风温预测方法研究

doi:10.11799/ce201702028

煤炭工程 ›› 2017, Vol. 49 ›› Issue (2): 89-92.doi: 10.11799/ce201702028

基于全风网的矿井风温预测方法研究

易欣

西安科技大学

收稿日期:2015-12-22 修回日期:2016-04-14 出版日期:2017-02-09 发布日期:2017-03-09
通讯作者: 易欣 E-mail:20661918@qq.com

Research on the calculation models of air temperature and the prediction methods in mine ventilation network

Received:2015-12-22 Revised:2016-04-14 Online:2017-02-09 Published:2017-03-09

摘要/Abstract

摘要： 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。

关键词: 全风网, 风温, 矿井热害, 预测模型

Abstract: Mine air temperature forecast is the foundation of underground roadway air state parameters. It provides the basis for the analysis of high temperature thermal disaster and the design of cooling system in mine. The air volume for a single tunnel air temperature prediction model is known. However, the air flow distribution can be effected by natural wind pressure, which is due to temperature difference in mine ventilation network. So the coupling relationship between the air temperature and air flow are determined. It also puts forward a forecasting method of air temperature based on an overall mine ventilation network solution. Through iterative calculation of air volume and air temperature, the prediction of them is achieved in a balanced equilibrium. The software is developed for calculating the temperature of airflow and humidity in the mine roadway based on an ObjectARX platform. Through the simulation of Zhaolou coal mine ventilation network calculation results and the measured value, the air temperature and the natural wind pressure are predicted accurately in the mine ventilation network. The measured and calculated data agree well, indicating that the forecasting method has better applicability.

中图分类号:

TD727

易欣，吴奉亮，王振平，等. 基于全风网的矿井风温预测方法研究[J]. 煤炭工程, 2017, 49(2): 89-92.

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基于全风网的矿井风温预测方法研究

Research on the calculation models of air temperature and the prediction methods in mine ventilation network

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