Y. Shen, Ryu Isono, Satoshi Kodama, Yoka Konishi, Taiga Inoue, Akihiko Onuki, R. Maeda, Jia-Yeu Lin, H. Ishii, A. Takanishi
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引用次数: 1
Abstract
Periodic inspection of aging gas pipes is important. However, the conventional inspection approach of excavation is unfriendly to the environment. From the perspective of Sustainable Development Goals (SDGs), in this study, we introduced a pneumatically driven robot system called WATER-7 to observe the inner environment of aging pipes, in particular water inside these pipes, without excavation. The robot can locomote similar to an inchworm with a thrust module operating in a periodical pattern, select direction with an active bending module, and acquire images using a camera. The robot is designed and assembled within a diameter of 12[mm] to enable insertion into a gas meter valve as well as transition and retrieval from a 7[m] service pipe consisting of 8 pipe bends. To improve the driving performance, we also shortened the transit time by increasing air flow and improved the robustness of each module of the robot. Furthermore, an autonomous control system for autonomous burr avoidance based on image processing was developed. According to experiments, the robot average transit time and retrieval without damage count for the assumed scenario were 81[min] and 9 times, respectively. In addition, the autonomous burr avoidance was confirmed to be effective.
定期检查老化的燃气管道是很重要的。然而,传统的开挖检测方法对环境不友好。从可持续发展目标(Sustainable Development Goals, SDGs)的角度出发,在本研究中,我们引入了一个名为water -7的气动驱动机器人系统,在不开挖的情况下,对老化管道的内部环境,特别是管道内部的水进行观察。该机器人可以像尺蠖一样通过推力模块周期性地运动,通过主动弯曲模块选择方向,并使用相机获取图像。该机器人的设计和组装直径为12毫米,可以插入燃气表阀,也可以从由8个管道弯头组成的7米服务管道中过渡和回收。为了提高驱动性能,我们还通过增加空气流量来缩短运输时间,并提高机器人各模块的鲁棒性。在此基础上,提出了一种基于图像处理的自动避毛刺控制系统。实验结果表明,在假设场景下,机器人的平均移动时间为81[min],无损伤回收次数为9次。此外,还验证了自动避免毛刺的有效性。