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基于双目视觉的电力巡检机器人轨迹跟踪方法研究

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电力巡检机器人轨迹跟踪在线测距中存在延时与可靠性较差等问题,导致轨迹跟踪精度较低.为此提出基于双目视觉的电力巡检机器人轨迹跟踪方法.首先,构建机器人运动学模型分析运动误差,获取点云数据并处理点云网格信息,加强对轨迹数据的收集力度.然后,提取相应运动轨迹路径,按照相关路径检验机器人轨迹跟踪方法的可行性,降低轨迹跟踪信息的提取失误率.最后调整轨迹跟踪系统角度,建立双向导航系统以实时取得跟踪结果.经实验验证,所提方法轨迹跟踪精度较高,跟踪误差在2%以下,能够有效地完成电力巡检机器人轨迹跟踪.
Research on trajectory tracking method of power inspection robot based on binocular vision
There are problems such as delay and poor reliability in the online distance measurement of power in-spection robot trajectory tracking,resulting in low trajectory tracking accuracy.A trajectory tracking method for power inspection robots based on binocular vision is proposed for this purpose.Firstly,it constructs a kinematic model of the robot to analyze motion errors,obtains point cloud data and process point cloud mesh information,and strengthens the collection of trajectory data.Then,it extracts the corresponding motion trajectory path and verifies the feasibility of the robot trajectory tracking scheme according to the relevant path,reduces the error rate of extracting trajectory tracking information.Finally,the angle of trajectory tracking system is adjusted,and a two-way navigation system is established to obtain real-time tracking results.Through experimental verifica-tion,the proposed method has high trajectory tracking accuracy,with a tracking error of less than 2%,and can effectively complete the trajectory tracking of power inspection robots.

binocular vision technologyelectric power inspectioninspection robottrajectory trackingrobot trajectory

佟芳、马晓琴、李文明

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国网青海省电力公司信息通信公司,青海 西宁 810000

双目视觉技术 电力巡检 巡检机器人 轨迹跟踪 机器人轨迹

2025

机械设计与制造工程
南京东南大学出版社有限公司

机械设计与制造工程

影响因子:0.387
ISSN:1672-1616
年,卷(期):2025.54(1)