Vision sensing-based bridge structure health detection system

Abstract

The invention discloses a vision sensing-based bridge structure health detection system, which comprises a binocular vision bridge detection module, an additional detection sensor group composed of astrain sensor, an accelerometer, a temperature sensor, an air velocity transducer, a vehicle detector and the like, a data wireless communication module, and a data processing cloud platform, whereinthe binocular vision bridge detection module dynamically tracks a detection target point through a binocular camera by using a template matching algorithm, and a displacement of a bridge target pointunder three-dimensional coordinates is calculated by combining a three-dimensional reconstruction algorithm, so as to detect the flexibility of the bridge target point; and meanwhile, size detection and classification can be further carried out on a crack on the outer side of a bridge by using an image acquired in real time; multiple data detected by the additional sensor group can correct and supplement binocular vision sensing detection parameters, so as to realize overall dynamic analysis for the health of a bridge structure; and real-time health detection and early warning of the bridge structure are realized through wireless communication and the cloud platform. The whole detection system has the advantages of easy installation, quick and real time measurement, high accuracy, high stability and the like, and is applicable to various different bridges and easy to popularize.

Description

technical field [0001] The invention relates to the technical field of bridge structure health detection, in particular to a bridge structure health detection system based on visual sensing. Background technique [0002] With the development of bridge engineering construction, bridges have become an important part of transportation infrastructure. The consequent issues of bridge maintenance and management are also becoming more and more important. In actual engineering, bridge inspection has gradually developed from manual to semi-automatic, from the initial simple manual to bridge inspection vehicles, to various inspection equipment and further intelligent inspection. In order to meet the needs of convenient and fast detection, new methods and ideas are constantly proposed and improved in practical application and practice. The bridge deflection and bridge crack detection are particularly important in the bridge structural health inspection. [0003] Bridge deflection ca...

AI Technical Summary

Problems solved by technology

However, the current domestic crack detection technology is basically limited to manual operation, its efficiency and safety are insufficient, and the detection results are often affected by human subjective factors

Later, the use of monocular vision was developed to replace manual detection. Although this method has greatly improved the efficiency compared with the previous one, the measurement reliability is not high, because only one camera is used to compress the pictures collected from the three-dimensional space to On a two-dimensional plane, when the camera plane is not parallel to the bridge deck, the measurement accuracy will be greatly affected

[0005] In summary, how to solve the problems of complex equipment installation, slow measurement process, low reliability of measurement accuracy, lack of real-time and integration of measurement systems in bridge structural health detection has become an urgent problem to be solved by those skilled in the art

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