基于信息融合的矿井底板突水预测  

Floor water irruption prediction based on information fusion

作　　者：李丽[1] 程久龙[1] 

机构地区：[1]山东科技大学矿山灾害预防控制教育部重点实验室

出　　处：《煤炭学报》2006年第5期623-626,共4页Journal of China Coal Society

基　　金：教育部新世纪优秀人才支持计划资金资助项目(NCET-05-0602);矿山灾害预防控制教育部重点实验室开放课题基金资助项目

摘　　要：针对传统水害预测方法的不足,将信息融合技术引入到传统的煤矿产业中,在分析底板突水各影响因素的基础上,利用先验信息构建预测模型,通过信息融合对预测区的安全状况作出科学判断,最后得出预测结果评价图.结合某矿区实际突水预测对该方法进行了检验,初步证明了该方法的有效性和可靠性.Based on the analysis of water-disaste influencing factors, information fusion technology was used in traditional colliery industry, which aimed at deficiencies of traditional floor water irruption prediction methods, Forecasting model was built using examples＇ information, and scientific judgement was made through information fusion, and forecasting result chart was drawn finally, The method was tested in a certain mine district water irruption prediction, the validity and reliability were proved elementarily.

关 键 词：信息融合 突水预测 模糊信息优化 地理信息系统 

分 类 号：TD745.21[矿业工程—矿井通风与安全]