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基于煤质工业分析指标的煤尘云最低着火温度预测模型构建
引用本文:李雨成, 赵晓涛, 刘天奇. 基于煤质工业分析指标的煤尘云最低着火温度预测模型构建[J]. 矿业安全与环保, 2018, 45(3): 11-15.
作者姓名:李雨成  赵晓涛  刘天奇
作者单位:1.1. 辽宁工程技术大学 安全科学与工程学院, 辽宁 阜新 123000
基金项目:国家自然科学基金项目(51204089);辽宁省教育厅科研项目(L2014131);辽宁省自然科学基金项目(201602355)
摘    要:为探究利用煤质工业分析指标预测煤尘云最低着火温度的可行性,开展了煤的工业分析指标测定与煤尘云最低着火温度试验。应用主成分回归方法分析了22种煤样的工业分析指标与煤尘云最低着火温度之间的关系,结果显示:不同煤质工业分析指标与煤尘云最低着火温度之间均存在高度的相关性,提取出三大主成分因子分别为固定碳因子、水分因子、挥发分因子,并构建出回归预测模型。该预测模型的预测结果与试验所测数据相比,误差小于5%,同时由挥发分因子前的系数为负数可知,挥发分越高对应的煤尘云最低着火温度就越低,这与实际情况一致,证实了所建模型的可靠性。

关 键 词:安全工程  煤的工业分析指标  煤尘云  着火温度  主成分
收稿时间:2017-07-07
修稿时间:2017-09-10

Modeling the Prediction of Minimum Ignition Temperature of Coal Dust Cloud Based on the Analysis Index of Coal Quality Industry
LI Yucheng, ZHAO Xiaotao, LIU Tianqi. Modeling the Prediction of Minimum Ignition Temperature of Coal Dust Cloud Based on the Analysis Index of Coal Quality Industry[J]. Mining Safety & Environmental Protection, 2018, 45(3): 11-15.
Authors:LI Yucheng  ZHAO Xiaotao  LIU Tianqi
Affiliation:1.1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China
Abstract:In order to explore the feasibility of using the industrial analysis index to predict the minimum ignition temperature of coal dust cloud, the determination of industrial analysis index of coal and minimum ignition temperature test of coal dust cloud were carried out. This paper analyzed the relationship between the industrial analysis index of 22 kinds of coal samples and the minimum ignition temperature of coal dust cloud by using principal component regression method. The results showed that: the industrial analysis index of different coal and the minimum ignition temperature of coal dust cloud are highly correlated. The extracted three main components are
Keywords:safety engineering  industrial analysis index of coal  coal dust cloud  ignition temperature  principal component
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