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| 基于地理信息系统和神经网络的煤与瓦斯突出预警 | |
| 引用本文： | 郭德勇,王仪斌,卫修君,王新义. 基于地理信息系统和神经网络的煤与瓦斯突出预警[J]. 北京科技大学学报, 2009, 31(1) |
| 作者姓名： | 郭德勇 王仪斌 卫修君 王新义 |
| 作者单位： | 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 |
| 基金项目： | 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. |
| 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 |
Early warning of coal and gas outburst by GIS and neural network |
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| GUO De-yong,WANG Yi-bin,WEI Xiu-jun,WANG Xin-yi. Early warning of coal and gas outburst by GIS and neural network[J]. Journal of University of Science and Technology Beijing, 2009, 31(1) | |
| Authors: | GUO De-yong WANG Yi-bin WEI Xiu-jun WANG Xin-yi |
| Abstract: | 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 temperature.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 c... |
| Keywords: | globe information system neural network methane concentration coal temperature coal and gas outburst early warning |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |