Title: Automatic separation robot system of insulated optical units of OPGW optical cable combined with machine vision
Authors: Yong Wei; Wenzhao Liu; Jiaju Zhang; Xiaofan Su; Feng Chen
Addresses: State Grid Hebei Electric Power Company Co. Ltd. Information and Telecommunication Branch, Shijiazhuang, China ' State Grid Hebei Electric Power Company Co. Ltd. Information and Telecommunication Branch, Shijiazhuang, China ' State Grid Hebei Electric Power Company Co. Ltd. Information and Telecommunication Branch, Shijiazhuang, China ' R&D of Fiber Optic Cable, Yangtze Optical Fibre and Cable Joint Stock Limited Company, Wuhan, Hubei, China ' Design and Manufacturing of Fiber Optic Cable, Yangtze Optical Fibre and Cable Joint Stock Limited Company, Wuhan, Hubei, China
Abstract: This paper aims to integrate machine vision into intelligent robots to realise the automatic separation of insulated optical units of OPGW optical cables. This paper combines improved machine vision to construct a three-dimensional space model of OPGW optical cable, and combines three-dimensional measurement technology to identify the insulated optical units from the optical cable structure. The experimental results show that the operation effect of the system is very remarkable, the three-dimensional coordinate guided mechanical finger point accuracy measured by this binocular system reached 0.4 mm, and the maximum radial and axial loads of the tool were within the rated load, which indirectly demonstrates the feasibility of this method and structural design. The robot system designed in this article reduces the damage to the metal layer of cables caused by traditional methods, lowers the risk of cable stripping. It also provides automation reference for more complex cable operations in the future.
Keywords: machine vision; insulated optical unit of optical cable; automatic separation; robot.
DOI: 10.1504/IJICT.2025.144457
International Journal of Information and Communication Technology, 2025 Vol.26 No.3, pp.25 - 46
Received: 18 Jul 2024
Accepted: 28 Oct 2024
Published online: 13 Feb 2025 *