基于主成分信息扩散法的地下矿灾害预警方法  

New approach to disaster early warning for underground mines based on information diffusion of main components

作　　者：陆秋琴[1] 黄光球[1] 

机构地区：[1]西安建筑科技大学管理学院,陕西西安710055

出　　处：《化工矿物与加工》2006年第11期19-23,共5页Industrial Minerals & Processing

基　　金：陕西省教育厅专项基金资助项目(编号06JK258).

摘　　要：提出了地下矿灾害预警指标体系设计方法,给出了应用主成分分析法将原始危险预警指标体系浓缩为主成分指标体系的算法,设计了基于信息扩散理论的警度信号识别分类器。该分类器将主成分指标信息扩散到灾害所有可能发生点上,其输入是浓缩后的主成分指标数据、而输出是期望的警度信号向量。基于该分类器,提出其虚警和误警概率的计算方法。This paper puts forward a method of selecting initial disaster early warning targets for an underground mine, gives an algorithm of condensing the initial targets into main components targets by the main components analysis method. A classifier is designed to estimate disaster warning signal for an underground mine based on the information diffusion theory, the classifier diffuses information contained in the data of main components targets into all the points where a disaster may occur, the input of the classifier is the condensed main components targets, the output is the expected warning signal vector. The possibility of error warning and false warning is calculated based on the classifier. Because of the high condensing ability the classifier possesses of processing targets with high dimensions.

关 键 词：地下矿 灾害预警 信息扩散理论 主成分分析 

分 类 号：X928[环境科学与工程—安全科学]