Non-contact close-range image bridge monitoring method

Abstract

The invention discloses a non-contact close-range image bridge monitoring method. The method comprises the following steps: firstly, performing regular video image acquisition on monitored bridge piers and a bridge body by utilizing a front-end binocular camera; performing high-precision distortion error correction on a main lens of the binocular camera by using a panoramic calibration field basedon the acquired video image, filtering various noise interferences, and then recovering the image through image reconstruction; transmitting the recovered image data remotely to a background server,and calculating settlement and offset of the rear-end bridge body in real time through the background server; and enabling the background server to output the calculation result by adopting a chart ora format specified by a user. The method improves the monitoring precision, reduces the intensity and cost of manual conventional monitoring, is convenient to operate, is low in use and installationcost, and is especially suitable for popularization and application.

Description

technical field [0001] The invention relates to the technical field of bridge monitoring, in particular to a non-contact close-range image bridge monitoring method. Background technique [0002] At present, the bridge structure health monitoring sensors used for bridge monitoring include local monitoring and overall monitoring. The local monitoring mainly uses optical fibers, piezoelectric smart materials and sensing elements, such as optical fibers, resistance strain wires, fatigue life wires, Piezoelectric materials, carbon fibers, semiconductor materials and shape memory alloys, etc. They sense the important parts and important components of the structure by means of surface attachment or embedding, and obtain parameter signals reflecting the characteristics of the local structure. Although this type of sensor has many advantages, it can only realize point or line distributed measurement, and it is difficult to realize real surface or body measurement, and the acquired s...

AI Technical Summary

Problems solved by technology

Although this type of sensor has many advantages, it can only realize point or line distributed measurement, and it is difficult to realize real surface or body measurement, and the acquired signal can only reflect the characteristics of the local structure

[0003] However, in the prior art, contact sensors are generally used for bridge settlement and offset. This solution has high monitoring costs and low automation, and often requires manual intervention. In addition, most close-range monitoring sites use manual camera observations, using single or dual cameras. Three-dimensional calculation in three-dimensional mode has great limitations in terms of accuracy and cost

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