基于PSO-FOSELM算法的煤矿事故隐患预测系统研究
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摘要
为能够实现对矿井事故隐患的预测与预警,在基于PSO-FOSELM算法的基础上,通过分析事故隐患风险的预测原理,采用粒子种群数实验、隐层节点数目实验和遗忘速率实验对具体矿井的样本数据进行模拟实验,并对试验结果进行具体分析。结果表明:基于该算法的预测结果与矿井事故隐患风险评价模型相结合能够有效实现矿井事故隐患的预测与预警。
In order to realize the prediction and early warning of hidden dangers in mine accidents, based on the PSO-FOSELM algorithm, by analyzing the prediction principle of accident risk, the particle population experiment, the hidden node number experiment and the forgetting rate experiment are used for specific mines. The sample data was simulated and the test results were analyzed. The results show that the prediction results based on the algorithm and the mine accident risk assessment model can effectively realize the prediction and early warning of mine accidents.
In order to realize the prediction and early warning of hidden dangers in mine accidents, based on the PSO-FOSELM algorithm, by analyzing the prediction principle of accident risk, the particle population experiment, the hidden node number experiment and the forgetting rate experiment are used for specific mines. The sample data was simulated and the test results were analyzed. The results show that the prediction results based on the algorithm and the mine accident risk assessment model can effectively realize the prediction and early warning of mine accidents.
引文
[1]张宝隆,王向前,何叶荣,李慧宗.基于本体的煤矿事故隐患辨识排查系统构建[J].煤矿安全,2018,49(05)239-241+245.
[2]曹庆贵,张静,孙启华,俞凯.煤矿事故隐患管理与预警系统的设计与应用[J].矿业安全与环保,2016,43(03):107-110+114.
[3]秦培均.煤矿生产检测过程事故隐患分析及预防[J].煤矿安全,2014,45(10):242-244.
[4]张玎.矿井安全隐患识别及其闭环管理模式研究[D].中国矿业大学(北京), 2009.
[2]曹庆贵,张静,孙启华,俞凯.煤矿事故隐患管理与预警系统的设计与应用[J].矿业安全与环保,2016,43(03):107-110+114.
[3]秦培均.煤矿生产检测过程事故隐患分析及预防[J].煤矿安全,2014,45(10):242-244.
[4]张玎.矿井安全隐患识别及其闭环管理模式研究[D].中国矿业大学(北京), 2009.