基于云数据的煤矿变电所水泵房巡检机器人设计与应用

Design and application of inspection robot for water pump room of coal mine substation based on cloud data

  • 摘要: 【目的】针对煤矿变电所水泵房传统工人巡检方式存在劳动强度大、巡检效率低、结果误差较大且危险系数较高等问题,【方法】基于煤矿井下5G无线通信系统和云数据存储技术,设计了一种煤矿变电所水泵房智能巡检机器人,用于代替工人完成煤矿变电所水泵房巡检任务,大大提高设备巡检效率;利用多种传感器实时采集各项数据和环境参数,由智能分析系统对故障进行智能诊断。【结果】在晋能控股煤业集团塔山煤矿井下中央变电所水泵房和二盘区变电所水泵房进行现场试验和调试,应用结果表明,煤矿变电所水泵房智能巡检机器人可以实时采集现场环境参数和红外线传感参数,利用5G技术完成自动巡检和视频识别。【结论】巡检移动误差≤5cm,异常识别率高达98.1%,实现了现场无人巡检,取得了满意的应用结果。

     

    Abstract: To address the issues of high labor intensity, low inspection efficiency, significant result errors, and high safety risks associated with traditional manual inspection methods in coal mine substation pump rooms, an intelligent inspection robot for coal mine substation pump rooms was designed. Based on the underground 5G wireless communication system and cloud data storage technology, this robot is intended to replace workers in performing inspection tasks in coal mine substation pump rooms, greatly improving equipment inspection efficiency. It utilizes various sensors to collect real-time data and environmental parameters, and an intelligent analysis system performs fault diagnosis. Field tests and debugging were conducted in the underground central substation pump room and the second panel substation pump room of Tashan Coal Mine, Jinneng Holding Coal Industry Group. The application results show that the intelligent inspection robot can collect on-site environmental parameters and infrared sensor parameters in real time, complete automatic inspections and video recognition using 5G technology, achieve an inspection movement error of ≤5cm, and attain an anomaly recognition rate as high as 98.1%, successfully realizing unattended on-site inspections with satisfactory outcomes.

     

/

返回文章
返回