Three-dimensional deformation dynamic measurement system and measurement method based on image recognition

Abstract

The invention discloses a three-dimensional deformation dynamic measurement system and measurement method based on image recognition. The measurement system comprises an image collecting device, a target and an image processing unit: the target is installed at a measurement point, and the target is provided with at least two target spots with a known spacing; and the image collecting device is installed at a fixed point, and the image processing unit is used for dynamically calculating the three-dimensional deformation of the measurement point according to a target image. The three-dimensionaldeformation dynamic measurement system disclosed by the invention is applicable to the three-dimensional deformation measurement of many monitored bodies such as bridges, dams, tunnels, railways, dangerous rocks or the like, the implementation mode is simple and reliable, and intelligent remote monitoring can be realized. The dynamic three-dimensional deformation information of multiple measurement points can be measured at the same time, and the dynamic deformation states of the measurement points can be embodied by visual charts and other forms, thereby being intuitive and convenient. In addition, the vibration frequency, amplitude, acceleration and other parameters of the measurement points can be further calculated based on the three-dimensional deformation data, and the deformation states of the measurement points are exhibited in multiple directions.

Description

Technical field [0001] The invention relates to the fields of image recognition, artificial intelligence, engineering detection and the like, and in particular to a three-dimensional deformation dynamic measurement system and a measurement method based on image recognition. Background technique [0002] With the rapid development of social economy and science and technology, bridge building technology continues to advance, and bridge structures are gradually developing towards lightness and slenderness. At the same time, the load, span, and deck width of the bridge continue to grow, and the structural form continues to change. Traditional deformation monitoring methods are increasingly unable to meet the requirements of deformation monitoring, which urgently requires more reliable equipment to monitor the deformation of the bridge. [0003] The existing bridge deformation monitoring technology can be divided into two categories: contact measurement and non-contact measurement. Co...

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Problems solved by technology

This method has the advantages of high measurement accuracy and reliable data; but at the same time, there are some disadvantages when using the geodetic method: firstly, the monitoring speed is slow, and it is impossible to complete the observation of multiple deformation points in a short time; secondly, it is limited by the site conditions , unable to complete homework in some small spaces and insufficient light

The disadvantage is that the number of observation points is limited, because each observation point needs to be equipped with a receiver, the measurement cost is high, and indoor or underground operations cannot be realized.

Chinese patent 201610629368.3 discloses a self-calibrating measurement device and method for bridge deformation or displacement parameters. Two targets are used, and both the reference target and the measurement target may produce three-dimensional deformation, resulting in large measurement errors.

Chinese patent 201410201870.5 discloses a two-dimensional displacement and strain monitoring method based on digital image processing technology, which is only for two-dimensional applications, and at the same time needs to extract the center of the circle, which requires a lot of work

[0007] Chinese patent 201110038782.4 discloses a method for monitoring three-dimensional deformation of bridges based on multi-eye vision, which can perform non-contact three-dimensional measurement of bridge deformation. It has the advantages of continuous measurement, instantaneous measurement of time, and simultaneous measurement of multiple points. The mapping model of the network, the system is complex, the implementation is difficult and the reliability is poor

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