A monitoring method, device and system for bridge deflection based on visual perception

A bridge deflection and visual perception technology, applied in the field of image processing, can solve the problems of the visual sensor being far away from the monitoring point, large monitoring errors, image jitter, etc., and achieve the effect of not being easy to interfere with the environment, reducing low-frequency interference, and improving accuracy

Active Publication Date: 2021-07-23
杭州鲁尔物联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The monitoring of bridge deflection can be achieved by setting up visual sensors. However, due to the special working conditions of bridge monitoring, the erection position of visual sensors is usually far away from the monitoring point. For bridges with large spans, the working radius may reach more than 500 meters
When telephoto cameras are used for long-distance imaging, obvious image shakes are prone to occur between adjacent frames, and the high temperature at noon will also cause image distortion. These problems cannot be solved optically for the time being.
At the same time, the camera itself will generate certain low-frequency vibrations during the monitoring process, which produces a large monitoring error

Method used

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  • A monitoring method, device and system for bridge deflection based on visual perception
  • A monitoring method, device and system for bridge deflection based on visual perception
  • A monitoring method, device and system for bridge deflection based on visual perception

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Embodiment 1

[0025] figure 1 It is a flow chart of a bridge deflection monitoring method based on visual perception provided by Embodiment 1 of the present invention. This embodiment is applicable to the monitoring of bridge deflection. The method can be executed by a bridge deflection monitoring device or system. The device can be realized by means of software and hardware, such as figure 1 As shown, the method specifically includes the following steps:

[0026] Step 110, acquiring monitoring images of the bridge collected by the visual sensor at each time node within the set time period.

[0027] Among them, visual sensors include cameras and lenses. Supports such as tripods and tall poles may also be included. The set time period can be 30s, 45s, 60s or other values, and the time node refers to the interval time for the visual sensor to collect a frame of image.

[0028] Optionally, the monitoring image includes a two-dimensional code pattern.

[0029] Further, the two-dimensional ...

Embodiment 2

[0059] figure 2 It is a flow chart of a monitoring method for bridge position deflection based on visual perception provided by Embodiment 2 of the present invention. This embodiment is a further refinement of the previous embodiment, such as figure 2 As shown, the method includes the following steps:

[0060] Step 210, acquiring monitoring images of the bridge collected by the visual sensor at each time node within the set time period.

[0061] Step 220: Identify the target feature points of each of the monitoring images, and calculate the initial deflection signals of the target feature points of each of the monitoring images, so as to obtain an initial deflection signal sequence.

[0062] Step 230 : Superimpose a set number of different Gaussian white noises on the initial deflection signal sequence to obtain a set number of superimposed deflection signal sequences.

[0063] Step 240 , performing empirical mode decomposition on each of the superimposed deflection signal...

Embodiment 3

[0103] image 3 It is a schematic diagram of a bridge deflection monitoring device based on visual perception provided by Embodiment 3 of the present invention, as image 3 As shown, the device includes: a monitoring image acquisition module 310 , an initial deflection calculation module 320 , an overlay deflection acquisition module 330 and a deflection filtering module 340 .

[0104] Among them, the monitoring image acquisition module 310 is used to obtain the monitoring images of the bridge collected by the visual sensor at each time node within the set time period; the initial deflection calculation module 320 is used to identify the target feature points of each of the monitoring images, and calculate each The initial deflection signal of the target feature point of the monitoring image to obtain an initial deflection signal sequence; the superimposed deflection acquisition module 330 is used to superimpose a set number of different Gaussian white noises with the initial ...

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Abstract

The invention discloses a bridge deflection monitoring method, device, system and storage medium based on visual perception. The method includes: acquiring monitoring images of bridges collected by visual sensors at various time nodes within a set period of time; identifying each of the monitoring images The target feature point of the image, and calculate the initial deflection signal of the target feature point of each described monitoring image, to obtain the initial deflection signal sequence; Superposition, to obtain a set number of superimposed deflection signal sequences; filter each of the superimposed deflection signal sequences based on the Hilbert-Huang transform, to obtain the bridge at each time node in the set time period deflection. The technical solution of the embodiment of the present invention realizes automatic monitoring of bridge deflection, effectively reduces measurement errors caused by camera vibration, temperature, etc., and improves monitoring accuracy.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image processing, and in particular to a method, device, system and storage medium for monitoring bridge deflection based on visual perception. Background technique [0002] With the rapid development of the transportation industry, various infrastructures have experienced varying degrees of aging and disease. As an important part of transportation infrastructure, bridges are becoming increasingly important for regular inspection and maintenance. Generally speaking, deflection is the most direct parameter to characterize bridge performance. Therefore, the monitoring of bridge deflection becomes an important part of bridge operation and maintenance and safety assessment. [0003] The monitoring of bridge deflection can be realized by setting up visual sensors. However, due to the special working conditions of bridge monitoring, the erection position of visual sensors is usually fa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/16G01D3/028
CPCG01B11/16G01D3/028
Inventor 康春光赵文一陈宇轩何显银宋杰张亮胡辉
Owner 杭州鲁尔物联科技有限公司
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