Study on Bridge Displacement Monitoring Algorithms Based on Multi-Targets Tracking

Jiajia Wang and Guangming Li
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Jiajia Wang: School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China
Guangming Li: School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China

Future Internet, 2020, vol. 12, issue 1, 1-15

Abstract: Bridge displacement measurement is an important area of bridge health monitoring, which can directly reflect whether the deformation of bridge structure exceeds its safety permission. Target tracking technology and Digital Image Correlation (DIC) are two fast-developing and well-known methods for non-contact bridge displacement monitoring in Digital Image Processing (DIP) methods. The former’s cost of erecting detection equipment is too large for bridges with a large span that need to locate more multi-targets because of its tracking only one target on a camera while the latter is not suitable for remote detection because it requires very high detection conditions. After investigating the evolution of bridge displacement monitoring, this paper proposes a bridge displacement monitoring algorithm based on multi-target tracking. The algorithm takes full account of practical application and realizes accuracy, robustness, real-time, low-cost, simplicity, and self-adaptability, which sufficiently adapts the bridge displacement monitoring in theory.

Keywords: bridge displacement monitoring; digital image processing; multi-targets tracking (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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