基于多连杆铰接轮式管内检测机器人的可视化小尺寸管道模型构建

Dianzhen Guo, Zhaohan Yuan, Sheng Bao, Jianjun Yuan, Shugen Ma, Liang Du
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引用次数: 3

摘要

在本文中,我们使用多连杆铰接轮式管道机器人开发了一种工业解决方案,用于未知布局和直径的小尺寸管道(小于200mm)的可视化模型。我们基于小型惯性测量单元(IMU)和编码器来建立可视化的管道模型,而不是像CCD相机或雷达这样昂贵且操作复杂的大型光学设备。为了提高可视化管道模型的精度,提出了一种多传感器数据融合算法,并利用梯度下降算法消除了重力因素带来的误差。该方法在u型管道中得到了实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualized Small-size Pipeline Model Building Using Multilink-articulated Wheeled In-pipe Inspection Robot
In this paper, we use a multilink-articulated wheeled in-pipe robot to develop an industrial solution for the visualized model of the small-size pipeline (less than 200mm) with unknown layout and diameter. We build visualized pipeline model based on small-size inertial measurement unit (IMU) and encoder instead of large-size optical device such as CCD cameras or radar which are expensive and complicated to operate easily. To improve the accuracy of the visualized pipeline model, a multi-sensor data fusion algorithm is developed and the error caused by the gravity factor has been eliminated by using the gradient descent algorithm. The proposed method is experimentally verified in U-Shaped pipeline.
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