Education, Science, Technology, Innovation and Life
Open Access
Sign In

Design and Research of Intelligent Bypass Cable Laying Robot

Download as PDF

DOI: 10.23977/fpes.2025.040108 | Downloads: 4 | Views: 130

Author(s)

Lu Guowei 1, Liu Yan 1, Zhang Wei 1, Zhao Jinfeng 1, Li Jiao 1, Wang Zhi 1, Wang Maolin 1, Li Xiangfei 1, Yao Longwei 1, Zhang Zefeng 1, Zhao Xue 1, Jiao Jiao 1

Affiliation(s)

1 Shanxi Jinyuan Electric Chemical Cleaning Center Co., Ltd., Live Working Center, Taiyuan, 030006, China

Corresponding Author

Jiao Jiao

ABSTRACT

To address the low construction efficiency of traditional cable laying devices in complex environments, this study develops an intelligent bypass cable laying robot. Integrating terrain adaptation components and cable lubrication components, the robot achieves intelligent control through cameras and an external controller. It can adapt to diverse road conditions, automatically clear obstacles, and realize cable lubrication and guidance, thereby significantly improving the efficiency and reliability of cable laying. This paper systematically elaborates on the robot's structural design, working principles, and experimental verification results, providing an innovative solution for the intelligent development of cable laying technology.

KEYWORDS

Bypass Cable Laying; Road Adaptation; Lubricate the Wires

CITE THIS PAPER

Lu Guowei, Liu Yan, Zhang Wei, Zhao Jinfeng, Li Jiao, Wang Zhi, Wang Maolin, Li Xiangfei, Yao Longwei, Zhang Zefeng, Zhao Xue, Jiao Jiao, Design and Research of Intelligent Bypass Cable Laying Robot. Frontiers in Power and Energy Systems (2025) Vol. 4: 60-67. DOI: http://dx.doi.org/10.23977/fpes.2025.040108.

REFERENCES

[1] Li Y, Jiang L, **e M, et al. Advancements and challenges in power cable laying[J]. Energies, 2024, 17(12): 2905.
[2] Taormina B, Bald J, Want A, et al. A review of potential impacts of submarine power cables on the marine environment: Knowledge gaps, recommendations and future directions[J]. Renewable and Sustainable Energy Reviews, 2018, 96: 380-391.
[3] Yang X, Liu J, Lv N, et al. A review of cable layout design and assembly simulation in virtual environments[J]. Virtual Reality & Intelligent Hardware, 2019, 1(6): 543-557.
[4] Song Z, Ning K, Wang M. Shortest Path Planning Method for Cable Laying Based on Improved Particle Swarm Optimization Algorithm[C]//ECITech 2022; The 2022 International Conference on Electrical, Control and Information Technology. VDE, 2022: 1-6.
[5] Boschetti G, Carbone G, Passarini C. Cable failure operation strategy for a rehabilitation cable-driven robot[J]. Robotics, 2019, 8(1): 17.
[6] Raman A, Walker I, Krovi V, et al. Cable failure tolerant control and planning in a planar reconfigurable cable driven parallel robot[J]. Frontiers in Robotics and AI, 2023, 10: 1070627.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.