Abstract
In this article, a robot designed to detect fissure underneath the bridge is presented. While the robot is working, it actually walks on a the truss stretches from a truck, automatically avoiding obstacles ahead in aid of the sensors and micro-controller. The whole device, equipped with CCD camera, can agilely move with the three degree mechanical structure. Moreover, the system performs brilliantly in identifying cracks from the complex view under the bridge and providing exact parameter related to it such as length, width and position by utilizing improved algorithm. This machine can also be operated by man directly to adjust the camera’s position, once the fissure was discovered.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shu, A.: Study on the Arm Structure and Hydraulic System of Intelligent Bridge_detection Vehicle, Guangzhou (2006)
Ding, Y., Wang, M.: Interview of meeting for early warning of dangerous bridge-2004 international conference on the bridge structure assessment. Construction Science and Technology 21, 33 (2004)
Yang, Z.: Analysis for Causes of Cracking in Concrete Box Girder. Southwest Jiaotong University, Chengdu (2005)
Zhang, W., Liu, M., Yang, M.: Bridge Crack Detection Technology Based on Digital Image Processing. Modern Transportation Technology 5, 34–36 (2008)
Kai, Y.-W.: Test and Counterplan of Bridge Structure Crack. Journal of Zhejiang Transportation College 4, 16–17 (2006)
Du, W., Zhu, S., Liu, Y.: Image Processing Technology of Highroad Asphaltum Pavement Crack. Construction Machinery Technology & Management 3, 65–68 (2006)
Zou, A.: Research on Obstacle-avoidance System of Performance Arm of Intelligent-video Bridge-detection Vehicle. Guangdong University of Technology, Guangzhou (2005)
Zhang, F.: Research on Cracking Box Girder of Long-Span Concrete Bridges. Southwest Jiaotong University, Chengdu (2004)
Yuan, T.: Analysis of Crack Cause and Method of Consolidation Maintenance of Prestressed Concrete Continuous Box-girder. Hunan University, Hunan (2006)
Wang, G.-L., Xie, J., Fu, Y.-F.: Investigalion Research on Crack of Long-span Prestressed Concrete Box Girder Bndges in Service. Journal of Highway and Transportation Research and Development 25(8), 53–56 (2008)
Du, W., Zhu, S., Liu, Y.: Image Processing Technology of Highroad Asphaltum Pavement Crack. Construction Machinery Technology & Management 19(3), 65–68 (2006)
Yang, S., Ren, M., Chen, Z.: Technical code of maintenance for city bridge CJJ 99-2003, vol. 2, p. 25. China Architecture & Building Press, Beijing (2004)
Guo, W., Hou, Y.: Digital Image Processing, vol. 5(3-18), pp. 195–197. Xidian University Press, Xi’an (2009)
Gong, S., Liu, C., Wang, Q.: Digital image processing and analysis, vol. 7(2-3), p. 177. Tsinghua University Press, Beijing (2006)
Lan, Z., Li, Y., Li, A.: Digital Image Processing and Image Communication, vol. 3(5-6), pp. 56–60. Tsinghua University Press, Beijing (2009)
Wu, Y.-M.: Method for calculating areas of multiple regions in image based on freeman chain code. Computer Engineering and Applications 44(15), 199–201 (2008)
Zhang, G.: Study on the Concrete Bridge Bottom Crack Inspection Method Based on Image Processing, vol. 6, pp. 52–53. Beijing Jiaotong University, Beijing (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, Q., Guo, J., Wang, S., Zhu, Q., Tao, B. (2012). Study on a New Bridge Crack Detection Robot Based on Machine Vision. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-33509-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33508-2
Online ISBN: 978-3-642-33509-9
eBook Packages: Computer ScienceComputer Science (R0)