人工智能技术在矿山机电设备检测中的应用研究

Research on the application of artificial intelligence technology in the detection of mine mechanical and electrical equipment

针对矿山机电设备传统故障检测技术存在工人劳动强度大、检测效率低、危险系数高、检测结果误差较大、检测成本高等问题,通过对矿山机电设备常见故障类型和传统的检测手段进行分析,利用人工智能技术识别故障特征和诊断,提出了矿山机电设备故障智能检测和诊断方案。现场应用表明,该套人工智能诊断技术可以取代传统的检测技术和手段,减轻工人的劳动强度,检测成本低,检测精度高、故障响应时间≤5 s,系统误警率≤0.3%,取得良好的应用效果,节省企业的检测成本,有力推动了矿山的智能化建设。

In view of the problems of high labor intensity,low detection efficiency,high risk factor,large error in detection results,and high detection cost in the traditional fault detection technology of mine electromechanical equipment,through the analysis of common fault types and traditional detection methods of mine electromechanical equipment,the use of artificial intelligence technology identifies fault characteristics and diagnosis,and proposed an intelligent detection and diagnosis scheme for mine mechanical and electrical equipment faults.Field application showed that this set of artificial intelligence diagnosis technology could replace traditional detection technology and means,reduced labor intensity of workers,low detection cost,high detection accuracy,fault response time≤5 s,system false alarm rate≤0.3%,and achieved good results.It could save the inspection cost of enterprises and effectively promote the intelligent construction of mines.