RESEARCH ARTICLE


Detecting System Design of Bridge Cables



Li Jun*
School of Civil Engineering and Architecture, Changsha University of Science and Technology, Changsha, 410114, China.


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 273
Abstract HTML Views: 266
PDF Downloads: 201
Total Views/Downloads: 740
Unique Statistics:

Full-Text HTML Views: 205
Abstract HTML Views: 192
PDF Downloads: 167
Total Views/Downloads: 564



Creative Commons License
© 2015 Li Jun;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the School of Civil Engineering and Architecture, Changsha University of Science and Technology, Changsha, 410114, China; E-mail: Ljsbm523@126.com


Abstract

In this paper, a new detecting system of bridge cables is designed with a snake-shaped robot. It can solve the problems such as inefficiency and danger of aloft work in the bridge detecting by workers. The detecting system of the bridge cables includes: a snake-shaped robot; a multiple and monocular vision detection module; a nondestructive magnetic leakage detecting module; a magnetostrictive sensing module. The multiple and monocular vision detection module can detect the surface of the bridge cables. The nondestructive magnetic leakage detecting module can detect the inner part of the cables by circumferential multiple loop axial magnetization with the permanent magnets. The magnetostrictive sensing module can detect the cable fatigue and erosion. The detecting system of the bridge cables may adapt to different circumstances and complete space spiral motion, realizing the full range of the detection and increasing the detection efficiency .

Keywords: Magnetostrictive sensing module, Multiple and monocular vision detection module, Nondestructive magnetic leakage detecting module, Snake-shaped robot.