摘要
综合应用多传感器信息技术、云模型理论等信息技术对煤矿井下瓦斯监控系统进行了研究和分析,利用云模型对危险程度信号进行感知和提取,构建了多层次信息融合的井下瓦斯监测系统,最后应用免疫危险理论对瓦斯监测异常信号进行了综合处理。研究成果为提高煤矿井下作业安全决策提供了一定的理论参考。
The paper mainly integrated application of multi-sensor information technology such as information technology, cloud model theory, studied the coal mine gas monitoring system and analysis of cloud model is used to analyse the degree of danger signal perception and extract, constructs the multi- level information fusion of mine gas monitoring system, the application of immune danger theory for the integrated treatment of abnormal gas monitoring signals. Research results to improve the coal mine work safety decision provides certain theoretical reference.
出处
《煤矿机械》
北大核心
2014年第9期260-262,共3页
Coal Mine Machinery
关键词
云模型理论
多传感器信息融合技术
瓦斯监测
cloud model theory
multi-sensor information fusion technology
gas monitoring
