Design of a wheeled type in-pipe inspection robot to overcome motion singularity in curved pipes

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Ambient Intelligence and Smart Environments Pub Date : 2023-07-17 DOI:10.3233/ais-220247
Rajendran Sugin Elankavi, D. Dinakaran, A. Doss, R.M. Kuppan Chetty, M. M. Ramya
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Abstract

This paper discusses the development and design of two wheeled-type In-Pipe Inspection Robots (IPIRs), Kuzhali I and Kuzhali II, which were created to address the limitations of traditional human inspection methods and earlier robot designs. Specifically, the robots aim to overcome the motion singularity experienced by IPIRs when navigating through curved pipes. Kuzhali I was developed with wheels mounted at an asymmetric angle, which enables the wheels to maintain contact with the pipe’s surface, preventing motion singularity. However, Kuzhali I had limitations due to its prismatic mechanism, and thus Kuzhali II was developed with a telescopic mechanism to allow it to pass through vertical pipes with obstacles. Motion analysis was conducted on both robots to demonstrate how they overcome motion singularity and navigate through straight and curved pipelines. Simulation results showed that the forces acting on the robots’ wheels fell within 5 N to 12 N, demonstrating stability while navigating pipeline junctions. Experimental tests were conducted on Kuzhali II, and the results were compared to simulation results, showing an error of less than 5%. The results of the experiments indicate that Kuzhali II is safe to use for pipeline inspection, can navigate through vertical pipelines with ease and can overcome motion singularity in curved pipes. These robots offer a faster, more accurate, and safer alternative to human inspection, which can reduce the risk of pipeline failures and associated environmental and safety hazards.
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一种克服弯曲管道运动奇异性的轮式管道内检测机器人设计
本文讨论了两轮式管道内检测机器人Kuzhali I和Kuzhali II的开发和设计,它们是为了解决传统人工检测方法和早期机器人设计的局限性而创建的。具体来说,机器人的目标是克服IPIR在弯曲管道中导航时所经历的运动奇异性。Kuzhali I是用不对称角度安装的轮子开发的,这使轮子能够与管道表面保持接触,防止运动奇异性。然而,由于Kuzhali I的棱柱机构,它有局限性,因此Kuzhali II被开发为具有伸缩机构,使其能够穿过有障碍物的垂直管道。对这两个机器人进行了运动分析,以证明它们是如何克服运动奇异性并在直线和曲线管道中导航的。仿真结果表明,作用在机器人轮子上的力在5N至12N范围内,表明了在管道连接处航行时的稳定性。在Kuzhali II上进行了实验测试,并将结果与模拟结果进行了比较,误差小于5%。实验结果表明,Kuzhali II型管道检测安全,可以轻松通过垂直管道,并可以克服弯曲管道中的运动奇异性。这些机器人提供了一种更快、更准确、更安全的替代人工检查的方法,可以降低管道故障以及相关的环境和安全隐患的风险。
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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