小型平面钢闸板涂层厚度检测机器人的研制

IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Zhenhua Duan, Chenggang Deng, Gaoping Shi, Chaochao Wu, Jin Zhou
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引用次数: 0

摘要

针对平面钢闸板涂层厚度检测存在劳动强度大、安全隐患大、缺乏专用自动化设备等问题,研制了一种远程无线控制的小型涂层厚度检测机器人。机器人采用链式机构和永磁体实现垂直面板上的吸附爬行,设计了180°可逆检测台,实现面板涂层厚度检测操作与面板清洗操作的转换。采用x轴和z轴运动控制机构,提高了操作的灵活性;它使机器人能够在停车时调整检测位置。分析了机器人在面板上的主要爬行姿态,确定了磁铁吸附力和爬行驱动力矩。设计了远程控制系统,通过控制页面对机器人爬行、检测位置调整、摄像画面、数据传输显示等进行控制,使机器人易于操作。最后,验证了检测机器人能在2 kg的载荷范围内稳定吸附和爬行,涂层厚度检测误差不超过5%的允许范围,刷刷清洗后的面板表面能满足检测要求。检测机器人的稳定性和准确性可以满足平面钢闸门板涂层厚度检测的实际需要,可以代替人工操作,降低劳动强度和安全隐患,进一步提升水利行业智能设备的发展进程。本研究可为该类机器人的开发和应用提供一定的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a Small-Scale Coating Thickness Detection Robot for Plane Steel Gate Panel

Development of a Small-Scale Coating Thickness Detection Robot for Plane Steel Gate Panel

A small-scale coating thickness detection robot with remote wireless control was developed to solve the problems of high labor intensity, safety hazards, and lack of special automated equipment for plane steel gate panel coating thickness detection. The robot adopted a chain mechanism and permanent magnet to realize the adsorption crawling on vertical panels, and a 180° reversible detection bench was designed to realize the conversion between panel coating thickness detection operation and panel cleaning operation. The operation flexibility was improved by the x-axis and z-axis movement control mechanism; it made the robot capable of adjusting the detection position while parked. The main crawling posture of the robot on the panel was analyzed, and the magnet adsorption force and crawling driving torque were determined. The remote control system was designed, and the robot crawling, detection position adjustment, camera screen, and data transmission display, and so on, could be controlled by the control page, making the robot easy to operate. Finally, it was verified that the detection robot can stably adsorb and crawl within the load of 2 kg, the error of coating thickness detection does not exceed the allowed range of 5%, and the surface of the panel after brush cleaning can meet the requirements of the detection. The stability and accuracy of the detection robot can meet the actual needs of plane steel gate panel coating thickness detection, can replace manual operation to reduce labor intensity and safety hazards, and further enhance the development process of intelligent equipment in the water conservancy industry. This study can provide some help for the development and application of this kind of robot.

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