基于地理信息系统和神经网络的煤与瓦斯突出预警  

Early warning of coal and gas outburst by GIS and neural network

作　　者：郭德勇[1] 王仪斌[1] 卫修君 王新义 

机构地区：[1]中国矿业大学(北京)资源与安全工程学院,北京100083 [2]平顶山煤业(集团)有限责任公司,平顶山467000

出　　处：《北京科技大学学报》2009年第1期15-18,24,共5页Journal of University of Science and Technology Beijing

基　　金：国家“十一五”科技支撑计划资助项目(No.2006BAK03B02);教育部科学技术研究重点资助项目(No.108025)

摘　　要：依据煤与瓦斯突出机理及突出过程物理特征,结合煤矿安全监测系统,提出以瓦斯浓度和煤体温度时间序列的煤与瓦斯突出预警指标,利用GIS技术和人工神经网络建立了煤与瓦斯突出预警模型.某矿17180工作面的预警结果表明:预警模型可以为煤与瓦斯突出预警提供技术支持.Based on the mechanism of coal and gas outburst and the physical characters of outburst process, in combination with a coal mine safety monitoring system, early warning indexes were proposed by the time series of methane concentration and coal tem- perature. An early warning model of coal and gas outburst was built by globe information system （GIS） technology and artificial neural network. Taking 17180 working face for an example, the early warning model was tested in an exact mine. The result shows that the model can provide technical support for early warning of coal and gas outburst.

关 键 词：地理信息系统 神经网络 瓦斯浓度 煤体温度 煤与瓦斯突出 预警 

分 类 号：TD713[矿业工程—矿井通风与安全] TP183[自动化与计算机技术—控制理论与控制工程]