首页|基于视觉的变压器取油机器人的设计与应用

基于视觉的变压器取油机器人的设计与应用

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在机器视觉和机器人技术的不断更新迭代下,为了提高变电站智能化检测作业水准,通过采用3D深度相机、六轴工业机器人、移动底盘等搭建了变压器取油机器人。利用深度相机可以直接读出物体深度信息的特点,通过三维点云配准算法实现对阀门的识别与定位;利用手眼标定和工具坐标系标定,得到相机坐标系和末端执行器坐标系之间的转换关系;最后通过工控机与机器人的TCP/IP通信实现位姿信息传输,最终完成自主取油流程。
Design and Application of Vision-Based Transformer Oil Pickup Robot
Under the continuous updating and iteration of machine vision and robot technology,in order to improve the intelligent inspection operation level of substation[1].By using 3D depth camera,six-axis industrial robot,mobile chassis and so on to build a transformer oil extraction robot.Using the depth camera can directly read out the characteristics of the object depth information,through the three-dimensional point cloud alignment algorithm to achieve the identification and localization of the valve;the use of hand-eye calibration and tool coordinate system calibration,to get the conversion relationship between the camera coordinate system and the end of the actuator coordinate system;and finally,through the industrial control computer and the robot's TCP/IP communication to achieve the position information transmission,and ultimately complete the process of autonomous oil extraction.

robotmodule design3D point cloud

李齐齐

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武汉纺织大学,湖北 武汉 430200

机器人 模块设计 三维点云

2024

机械管理开发
山西省机械工程学会

机械管理开发

影响因子:0.273
ISSN:1003-773X
年,卷(期):2024.39(12)