CAJ | 학술논문

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。
근사년，매광전망선로고장시상발생，급매광생산안전조성료중대손해병영향료매탄자원적공급。인차매광전망선로고장예경현득십분필요。목전，매광전망선로고장예경연구주요관주예경계통결구건설화선로원건재선측량。제출혼합추리적방법기출상대매광전망선로진행지능분석예경。기중，RBR모괴주요사용기우AHP화증거이론적방법실현대매광전망선로고장적예경；CBR모괴사용기우조합상사산법화RBR적안례괄배방법래완성대예경안례적괄배。
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.