基于FP-Growth算法的露天煤矿无人驾驶车辆故障预警分析与应用效果研究  

Fault Warning Analysis and Application Effect Research of Driverless Vehicle in Open-pit Coal Mine Based on FP-Growth Algorithm

作　　者：姜文鑫 韩硕 甘宏 辛守辉 Jiang Wenxin;Han Shuo;Gan Hong;Xin Shouhui(Huaneng Yimin Coal and Electricity Co.,Ltd.,Hulunbuir 021100,China;Huaneng Information Technology Co.,Ltd.,Qingdao 266000,China)

机构地区：[1]华能伊敏煤电有限责任公司,内蒙古呼伦贝尔021100 [2]华能信息技术有限公司,山东青岛266000

出　　处：《煤矿机械》2025年第5期187-190,共4页Coal Mine Machinery

摘　　要：目前,露天煤矿无人驾驶车辆主要依靠5G专网和设备进行集成,一旦通信网络出现故障,则会严重影响露天煤矿无人驾驶车辆智能化运行。为及时发现露天煤矿无人驾驶车辆无线通信网络故障并予以解决,以FP-Growth算法为基础,配合萤火虫算法,对无线通信网络故障节点进行全自动定位。实验结果表明,与传统算法相比,该方法可实现露天煤矿无人驾驶车辆无线通信故障节点定位,从而更加快速地对车辆故障进行识别和预警。At present,driverless vehicles in open-pit coal mine mainly rely on 5G private networks and equipment for integration,and once the communication network occurs the fault,it will seriously affect the intelligent operation of driverless vehicle in open-pit coal mine.In order to find and solve the fault of wireless communication network of driverless vehicle in open-pit coal mine in time,based on FP-Growth algorithm and cooperated with firefly algorithm,fully located the fault nodes of wireless communication network.The experimental results show that compared with the traditional algorithm,this method can realize the fault location of the driverless vehicle wireless communication in open-pit coal mine,so as to identify and warn the vehicle fault more quickly.

关 键 词：露天煤矿 无人驾驶车辆 FP-GROWTH算法 萤火虫算法 无线通信故障 

分 类 号：TD67[矿业工程—矿山机电]