Article Details

Abstract

The accurate measurement of the geometrical characteristics of bridge cracks is a key step in the process of bridge health monitoring and maintenance. Using the detailed measurement of geometrical characteristics such as crack length, width and area can fully assess the structural safety performance and expected service life of the bridge. At present, this measurement process incorporates advanced laser scanning technology, Digital Image Processing technology and Computer Vision technology, and these high-technology means not only significantly improve the accuracy and work efficiency of the measurement, but also realize a non-contact monitoring method, greatly reducing the risk of damage to the bridge structure itself. Further, through the in-depth analysis of the geometrical characteristics data of cracks, the crack expansion trend can be predicted more accurately. On the basis, a more scientific and reasonable maintenance strategy can be formulated, so as to ensure the safety and stable operation of the bridge.

Keywords

bridge health monitoring; Digital Image Processing; Computer Vision; geometrical measurement of cracks

References

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Funding

廊坊市科学技术项目（2024011090）

About the authors

Jiang Xiuli (1999-), female, Han ethnicity, from Linyi, Shandong, is currently pursuing a master's degree in emergency information technology; Luan Shangmin (1968-), male, Han nationality, from Jinan, Shandong, professor, PhD, research direction: artificial intelligence and its applications.