煤矿安全状态的突变理论评价模型及其应用
发布时间：2018-10-14 18:24
【摘要】：为准确反映矿井事故发生的跳变过程,并对矿井安全状态作出客观评价,构建煤矿安全状态的突变评价模型。首先,以辩证唯物主义、轨迹交叉理论及突变原理为指导,构建煤矿安全状态评价指标体系;其次,对底层指标参数进行无量纲处理;然后,根据不同突变类型归一化公式及突变评价规则,借助Matlab逐级求得突变隶属函数值,参照安全状态等级评价标准确定安全状态级别;最后以11个矿井数据为样本进行安全状态评价,并将计算结果与模糊可变识别评价结果进行比较。结果显示,2种模型评价结果总体保持一致,突变评价模型指标计算值与近年煤矿安全事故发生原因统计分析结果更贴近。
[Abstract]:In order to accurately reflect the jump process of mine accidents and make an objective evaluation of mine safety status, a catastrophe evaluation model of coal mine safety state is constructed. Firstly, under the guidance of dialectical materialism, trajectory crossover theory and catastrophe principle, the evaluation index system of coal mine safety state is constructed. Secondly, the dimensionless treatment of the bottom index parameters is carried out. According to the normalization formula of different mutation types and the rules of catastrophe evaluation, the membership function value of mutation is obtained by means of Matlab step by step, and the safety state level is determined by referring to the evaluation standard of safety state grade. Finally, 11 mine data are taken as samples to evaluate the safety state, and the calculated results are compared with the results of fuzzy variable recognition evaluation. The results show that the evaluation results of the two models are consistent, and the calculated values of the catastrophe evaluation models are closer to the statistical analysis results of the causes of coal mine safety accidents in recent years.
【作者单位】： 辽宁工程技术大学安全科学与工程学院;矿山热动力灾害与防治教育部重点实验室;辽宁省煤矿安全监察局;
【基金】：国家自然科学基金资助(51404128)
【分类号】：TD77
[Abstract]:In order to accurately reflect the jump process of mine accidents and make an objective evaluation of mine safety status, a catastrophe evaluation model of coal mine safety state is constructed. Firstly, under the guidance of dialectical materialism, trajectory crossover theory and catastrophe principle, the evaluation index system of coal mine safety state is constructed. Secondly, the dimensionless treatment of the bottom index parameters is carried out. According to the normalization formula of different mutation types and the rules of catastrophe evaluation, the membership function value of mutation is obtained by means of Matlab step by step, and the safety state level is determined by referring to the evaluation standard of safety state grade. Finally, 11 mine data are taken as samples to evaluate the safety state, and the calculated results are compared with the results of fuzzy variable recognition evaluation. The results show that the evaluation results of the two models are consistent, and the calculated values of the catastrophe evaluation models are closer to the statistical analysis results of the causes of coal mine safety accidents in recent years.
【作者单位】： 辽宁工程技术大学安全科学与工程学院;矿山热动力灾害与防治教育部重点实验室;辽宁省煤矿安全监察局;
【基金】：国家自然科学基金资助(51404128)
【分类号】：TD77
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