| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 02001 | |
| Number of page(s) | 4 | |
| Section | Energy Chemistry Performance and Material Structure Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202126102001 | |
| Published online | 21 May 2021 | |
Non-contact measurement method of bridge deflection based on machine vision
China Construction Corporation Technology Centre, Beijing, China
* Corresponding author: wei.zhao@cscec.com
Bridge deflection is a very important parameter for bridge structure. It directly reflects the vertical overall stiffness of bridge structure, and is an important basis for reflecting the linear change of bridge. It is closely related to the bearing capacity of the bridge and the ability to resist earthquake and other dynamic loads. Computer vision is to obtain image data through image acquisition device, and use special image processing software to get the shape and displacement information of the object. This method has high precision, low cost, and simple operation. In this paper, based on the industrial camera, the optical flow method and sub-pixel corner detection algorithm are used for target tracking and sub-pixel detection. Through the comparison between the laboratory data and the micro pan tilt data, the usability of this method in bridge deflection monitoring is verified and evaluated.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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