基于遗传算法的改进煤矿提升机管理信息系统安全评价研究

Study on Safety Evaluation and Application of Improved Mine Hoist Managing Information System Safe Model Based on Genetic Algorithm

为了能够准确地评价煤矿提升机管理信息系统安全模型的安全性,深入地研究了遗传算法在其中的应用。首先,讨论了煤矿提升机管理信息系统安全模型的改进方法;其次,研究了煤矿提升机管理信息系统安全模型的评价方法;最后,进行了算例分析,分析结果表明基于遗传算法和RBF神经网络的煤矿提升机管理信息系统安全评价模型具有较好的自适应能力,同时,对改进煤矿提升机管理信息系统安全模型和传统煤矿提升机管理信息系统安全模型的风险值进行对比,分析结果表明改进的煤矿提升机管理信息系统安全模型更为安全。

In order to evaluate the safety of the mine hoist managing information system safe model and the application of the genetic algorithm on it is studied in depth. First, the improved method of the mine hoist managing information system is discussed. And then the safety evaluation model of it is constructed, and finally, the case study is carried out, and the results showed that the safety evaluation method based on genetic algorithm and RBF network has good self-adaptive capability, at the same time, the risk values of improved mine hoist managing information system safe model and conventional mine hoist managing information system safe model are compared, and analysis results show that the improved safe model has better safety.