基于混合推理的煤矿电网线路故障预警研究

近些年，煤矿电网线路故障时常发生，给煤矿生产安全造成了重大损害并影响了煤炭资源的供给。因此煤矿电网线路故障预警显得十分必要。目前，煤矿电网线路故障预警研究主要关注预警系统结构建设和线路元件在线测量。提出混合推理的方法基础上对煤矿电网线路进行智能分析预警。其中，RBR模块主要使用基于AHP和证据理论的方法实现对煤矿电网线路故障的预警；CBR模块使用基于组合相似算法和RBR的案例适配方法来完成对预警案例的适配。

Research on Early Warning for Line Fault of Coalmine Power Net Based on Hybrid Reasoning

In recent years, line faults of coalmine power net has happened frequently, causing a great damage to coalmine production and affecting the supply of coal resources. So it is necessary to make early warning for line fault of coalmine power net. At present, papers about early warning for line fault of coalmine power net focus on system structure construction and online measuring of circuit element. This paper proposes a hybrid reasoning method to make intelligent analysis and early warning for coalmine power net. In this method, the RBR module mainly uses the method combining AHP and evidence theory to accomplish the early warning for line fault of coalmine power net, and the RBR module uses the case adaptation method based on combined similar algorithm and RBR to complete the adaptation of early warning cases.