基于数据挖掘技术的瓦斯爆炸预警仿真研究
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摘要
根据相关原则构建瓦斯爆炸灾害指标体系,采用数据挖掘技术建立非线性模糊综合评价瓦斯爆炸预警模型,以山西大同塔山煤矿为例进行瓦斯爆炸预警仿真研究,发现该模型权重计算过程简单,样品需求量少,主函数信息损失程度小,能够更加充分地提取、利用信息,在危险等级评价结果准确前提下,具有更高的准确性与精确度。
According to relevant principles,a gas explosion disaster index system was constructed,and a data mining technology was used to establish a non-linear fuzzy comprehensive evaluation gas explosion warning model. The Datong Tashan coal mine in Shanxi province was used for early warning analysis. It was found that the weight calculation process of the model is simple, the sample demand is small,and the loss level of the main function information is small,the information can be extracted and used more fully,and the accuracy of the risk rating results is accurate,with higher accuracy and accuracy.
According to relevant principles,a gas explosion disaster index system was constructed,and a data mining technology was used to establish a non-linear fuzzy comprehensive evaluation gas explosion warning model. The Datong Tashan coal mine in Shanxi province was used for early warning analysis. It was found that the weight calculation process of the model is simple, the sample demand is small,and the loss level of the main function information is small,the information can be extracted and used more fully,and the accuracy of the risk rating results is accurate,with higher accuracy and accuracy.
引文
[1]李润求,施式亮,念其锋,等.基于PSO-SVM的煤矿瓦斯爆炸灾害风险模式识别[J].中国安全科学学报,2013,23(5):38-43.
[2]李润求,施式亮,念其锋,等.基于IAHP-ECM的瓦斯爆炸灾害风险评估[J].中国安全科学学报,2013,23(3):62-67.
[3]念其锋,施式亮,李润求.基于网络分析和联系熵的煤与瓦斯突出预测研究[J].中国安全生产科学技术,2014,10(2):22-27.
[4]刘开第,庞彦军,金斓.对AHP单准则排序方法的改进[J].数学的实践与认识,2015,45(12):207-214.
[5]刘开第,庞彦军,栗文国.多指标决策中隶属度转换算法及其应用[J].自动化学报,2009,35(3):315-319.
[6]刘翔,杨帆.基于数据挖掘技术的瓦斯灾害信息特征提取[J].煤炭技术,2016,35(8):130-132.
[2]李润求,施式亮,念其锋,等.基于IAHP-ECM的瓦斯爆炸灾害风险评估[J].中国安全科学学报,2013,23(3):62-67.
[3]念其锋,施式亮,李润求.基于网络分析和联系熵的煤与瓦斯突出预测研究[J].中国安全生产科学技术,2014,10(2):22-27.
[4]刘开第,庞彦军,金斓.对AHP单准则排序方法的改进[J].数学的实践与认识,2015,45(12):207-214.
[5]刘开第,庞彦军,栗文国.多指标决策中隶属度转换算法及其应用[J].自动化学报,2009,35(3):315-319.
[6]刘翔,杨帆.基于数据挖掘技术的瓦斯灾害信息特征提取[J].煤炭技术,2016,35(8):130-132.