1.School of Safety Science and Engineering,Liaoning Technical University,Fuxin ,China; 2.MOE Key Lab of Mine Thermal Dynamic Disaster and Prevention,Huludao ,China; 3.Shenyang Research Institute,China Coal Technology and Engineering Group,Shenyang ,China

为研究不同工业分析指标对爆炸性火焰长度的影响,选用不同特质的煤样,利用全自动工业分析成分测试仪和煤尘爆炸性火焰长度测试仪器对这些煤样的水分、灰分、挥发分和爆炸性火焰长度进行测定,分析各个工业分析指标对爆炸性火焰长度的影响作用,并基于试验数据通过支持向量机建立分类预测模型预测爆炸危险等级,结果表明:煤尘粒径在一定范围内,挥发分的含量的增加、水分和灰分含量的降低均可以促进煤尘爆炸性火焰长度的增长;当粒径大到一定程度时,煤尘爆炸性火焰长度不再受工业指标的影响。分类预测模型预测结果的正确率为95.83%,可利用此方法对爆炸危险等级进行预测,有助于煤尘爆炸危险性的评估。

In order to study different industrial analysis indexes affected to the length of the explosion flame,with the application of different characteristic coal samples,a full automatic industrial analysis component test device and the coal dust explosion flame length test device were applied to measure the moisture content,ash content,volatile matter and explosion flame length of the coal samples. The paper had an analysis on each industrial analysis index affected to the length of the explosion flame. With the assistance of the support vector machine,the test data were applied to establish a classified prediction model to predict the grade of the explosion danger. The results showed that when the coal dust particle size was within a certain range,the volatile matter content increased and the moisture and ash contents decreased both would promote the length increased of the coal dust explosion flame. When the dust particle size was in a certain large degree,the length of the coal dust explosion flame would not be affected by the industrial index. The predicted result accuracy of the classified prediction model was 95.83%. The method could be applied to predict the explosion danger grade and could be assistance to the evaluation of the coal dust explosion risk.

国家自然科学基金青年科学基金资助项目(51204088)；辽宁省教育厅基金资助项目(551610001180)；