基于支持向量机的采空区遗煤自燃预测分析  

Analysis on Prediction of Residual Coal Spontaneous Combustion in Goaf Based on Support Vector Machine

作　　者：高原[1] 覃木广[1] 李明建[1] 

机构地区：[1]煤炭科学研究总院重庆研究院,重庆400037

出　　处：《煤炭科学技术》2010年第2期50-54,共5页Coal Science and Technology

基　　金："十一五"国家科技支撑计划资助项目(2006BAK03B02)

摘　　要：在分析回采工作面煤层自燃基础上,用支持向量机(SVM)预测技术对采空区遗煤自燃进行预测分析。并以忻州窑矿8914综放工作面采空区遗煤自燃为实例,对其不同时期采空区危险性进行预测分析,验证了该方法的可行性。打破传统经验分析法,实现了煤矿安全分析的智能化,对建立本质安全型矿井具有利用价值。Based on the analysis on the seam spontaneous combustion in the coal mining face, the prediction technology with the support vector machine was applied to predict and analyze the spontaneous combustion danger of the residual coal in the goaf. Taking the residual coal spontaneous combustion in the goal of the No. 8914 fully mechanized top coal caving mining face in Xinzhouyao Mine as a case, the danger of the goaf during the different periods was predicted and analyzed, the feasibility of the method was approved. To break the con- ventional experience analysis method, the mine safety intelligent analysis could be conducted and would have the applied value to establish the intrinsic safety mine.

关 键 词：采空区 遗煤 自燃 支持向量机 

分 类 号：TD752.2[矿业工程—矿井通风与安全] TP181[自动化与计算机技术—控制理论与控制工程]