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蚁群聚类算法在煤矿安全评价人因事故分析中的应用
引用本文:马小平,金珠. 蚁群聚类算法在煤矿安全评价人因事故分析中的应用[J]. 煤炭学报, 2009, 34(5): 678-682
作者姓名:马小平  金珠
作者单位:中国矿业大学 信息与电气工程学院, 江苏 徐州,221116
摘    要:详细分析了煤矿安全人因事故中的主导因素,应用蚁群聚类算法从职工素质、组织管理、心理及生理因素和工作环境4个方面进行聚类分析,建立了对煤矿生产中影响较大的人因事故主导因素分类模式,仿真实验表明,管理因素是煤矿人因事故中的关键因素,并有针对性地给出相应防范措施.

关 键 词:蚁群聚类算法;煤矿安全;人因事故  
收稿时间:2008-05-29

Application of ant colony clustering algorithm in analysis of man-made accidents on mine safety assessment
MA Xiao-ping,JIN Zhu. Application of ant colony clustering algorithm in analysis of man-made accidents on mine safety assessment[J]. Journal of China Coal Society, 2009, 34(5): 678-682
Authors:MA Xiao-ping  JIN Zhu
Affiliation:School of Information and Electrical Engineering;China University of Mining & Technology;Xuzhou 221116;China
Abstract:The primary man-made causes,which lead to accidents in coal mine safety,were elaborated.Ant colony clustering algorithm was employed to cluster those vital man-made factors,according to four aspects: workers'qualities,management and supervision,physiology and psychology,as well as environment.A classifiable model of crucial man-made accidents which had great influences during the coal mining production was built.Experimental results demonstrate that management factors are the key ones,causing man-made accid...
Keywords:ant colony clustering algorithm  coal mine safety  man-made accidents  
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