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5G+智慧电厂机器人自主巡检系统设计与开发

Design and Development of 5G+ Robot Autonomous Patrol Inspection System in Intelligent Power Plant

  • 摘要:
      目的  为了改变目前以人工巡检为主的电厂巡检模式,提高电厂巡检作业的智能化水平,同时充分掌握机器人自主巡检系统的设计方法。
      方法  文章从机器人自主巡检系统的设计思路出发,明确系统功能,分别从硬件架构和软件功能两方面给出巡检系统的设计方案。并以此设计方案为依据,设计出一台集先进性与实用性于一体的5G+机器人自主巡检系统。此外,为使得机器人的巡检结果能够更加直观地反映出电厂的实际运行情况,文章基于智能图像处理技术,完成了对仪表读数、阀门、按钮开关状态等信息的分析处理。
      结果  5G+机器人自主巡检系统能够实现地图构建、任务部署,并能自主导航执行巡检任务,自动识别巡检设备,同时利用5G回传巡检数据,完成巡检结果分析并自动生成巡检报告。
      结论  开发的5G+智慧电厂机器人自主巡检系统可大幅提升巡检效率,提高电厂运维的智能化水平,为电厂的自主巡检作业提供了有力的技术支撑,为专业人员全面掌握锅炉房、汽机房、升压站、辅助车间的运行状态提供可靠的依据,在实现减员増效的同时保障了重点区域设备安全运行,更好地助力智慧电厂建设。

     

    Abstract:
      Introduction  In order to change the current patrol inspection mode of power plant mainly based on manual patrol ins-pection, improve the intelligent level of power plant patrol inspection, and fully grasp the design method of robot autonomous patrol inspection system.
      Method   This paper started from the design idea of the robot autonomous patrol inspection system, defined the system functions, and gave the design scheme of the patrol inspection system from the hardware architecture and software functions. Based on this design scheme, a 5G+ robot autonomous patrol inspection system integrating progressiveness and practicality was designed. In addition, in order to make the robot's patrol inspection results more intuitively reflect the actual operation of the power plant, this paper, based on intelligent image processing technology, completed the analysis and processing of instrument readings, valves, button switch status and other information.
      Result  The 5G+ robot autonomous patrol inspection system can realize map construction, task deployment, autonomous navigation and execution of patrol inspection tasks, automatic identification of patrol inspection equipment, and use 5G to return patrol inspection data, complete the analysis of patrol inspection results and automatically generate patrol inspection reports.
      Conclusion  The 5G+ robot autonomous patrol inspection system in intelligent power plant developed in this paper can significantly improve the patrol inspection efficiency, improve the intelligent level of power plant operation and maintenance, provide strong technical support for the independent patrol inspection operation of the power plant, provide reliable basis for professionals to comprehensively grasp the operation status of the boiler room, steam turbine room, booster station and auxiliary workshop, and ensure the safe operation of equipment in key areas while reducing personnel and increasing efficiency, better assist the construction of smart power plants.

     

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