Abstract
Inspection of power transmission lines is often a highly hazardous activity, subject to uncertainties due to the system and environmental characteristics. The present study aims to develop a mobile robot to inspect transmission lines. The development process encompasses a series of fundamental steps. Initially, a highly realistic simulation environment is created, containing an authentic section of a transmission line. Subsequently, the simulated robot is designed and equipped with a camera and LIDAR sensor to inspect the simulated transmission line. Once the simulation results are validated, the real prototype of the robot is materialized. This approach allows for a precise evaluation of the robot’s performance, enabling necessary adjustments and enhancements to ensure the effectiveness of transmission line inspection. The prototype consists of a robotic gripper capable of conducting preventive and predictive inspections in transmission lines.
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References
Fan, F., Wu, G., Wang, M., Cao, Q., Yang, S.: Multi-robot cyber physical system for sensing environmental variables of transmission line. Sensors 18(9), 3146 (2018)
Gonçalves, R.S., Souza, F.C., Homma, R.Z., Sudbrack, D.E.T., Trautmann, P.V., Clasen, B.C.: Review: Robots for Inspection and Maintenance of Power Transmission Lines, pp. 119–142. Springer International Publishing, Cham (2023). https://doi.org/10.1007/978-3-031-11128-0_6
Jiang, W., Wu, G., Yu, L., Li, H., Chen, W.: Manipulator multi-objective motion optimization control for high voltage power cable mobile operation robot. J. Ambient. Intell. Humaniz. Comput. 10, 893–905 (2019)
Jiang, W., Yan, Y., Yu, L., Peng, M., Li, H., Chen, W.: Research on dual-arm coordination motion control strategy for power cable mobile robot. Trans. Inst. Meas. Control. 41(11), 3235–3247 (2019)
Lima, E.J., Bomfim, M.H.S., Mourão, M.A.d.M.: Polibot–power lines inspection robot. Indust. Robot: Inter. J. 45(1), 98–109 (2018)
Qin, X., Wu, G., Lei, J., Fan, F., Ye, X.: Detecting inspection objects of power line from cable inspection robot lidar data. Sensors 18(4), 1284 (2018)
Qin, X., Wu, G., Lei, J., Fan, F., Ye, X., Mei, Q.: A novel method of autonomous inspection for transmission line based on cable inspection robot lidar data. Sensors 18(2), 596 (2018)
Qin, X., Wu, G., Ye, X., Huang, L., Lei, J.: A novel method to reconstruct overhead high-voltage power lines using cable inspection robot lidar data. Remote Sensing 9(7), 753 (2017)
Qing, Z., Xiao-long, Z., Xin-ping, L., Jie, X., Ting, Z., Cheng-jiang, W.: Mechanical design and research of a novel power lines inspection robot. In: 2016 International Conference on Integrated Circuits and Microsystems (ICICM), pp. 363–366 (2016)
Wei, J., hua, Z.D., Shuangbao, M., Gaocheng, Y., Wei, C.: Dynamic walking characteristics and control of four-wheel mobile robot on ultra-high voltage multi-split transmission line. Trans. Inst. Measur. Control 44(6), 1309–1322 (2022)
Yue, X., Wang, H., Jiang, Y.: A novel 110 kv power line inspection robot and its climbing ability analysis. Int. J. Adv. Rob. Syst. 14(3), 1729881417710461 (2017)
Zhu, Y., Wang, X., Xu, B.: Design of vision-based obstacle crossing of high-voltage line inspection robot. In: 2016 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 506–511. IEEE (2016)
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Domingues, A., Do Valle, D.R.G., De Albuquerque, J.M.N., Neto, O.R., de Oliveira, A.S., Rohrich, R.F. (2024). A Robotic Cable-Gripper for Reliable Inspection of Transmission Lines. In: Marques, L., Santos, C., Lima, J.L., Tardioli, D., Ferre, M. (eds) Robot 2023: Sixth Iberian Robotics Conference. ROBOT 2023. Lecture Notes in Networks and Systems, vol 976. Springer, Cham. https://doi.org/10.1007/978-3-031-58676-7_42
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DOI: https://doi.org/10.1007/978-3-031-58676-7_42
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