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Long-distance machine vision vibration measurement method and device

A technology of vibration measurement and machine vision, applied in the direction of measuring devices, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve the problems of high measurement cost and large data collection limitations, and achieve overcoming complex processes, clear pictures, and economical prices Effect

Inactive Publication Date: 2020-06-16
LANZHOU UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] One purpose of the present invention is to propose a long-distance machine vision vibration measurement device, which is convenient and economical, and solves the problems of high measurement cost and large data collection limitations in the past; another purpose of the present invention is to propose a remote The distance machine vision vibration measurement method uses computer vision to complete the extraction of vibration displacement, which can effectively detect the vibration data of ultra-long and large structures

Method used

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  • Long-distance machine vision vibration measurement method and device

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Effect test

Embodiment 1

[0035] Such as Figure 1-5 As shown, a kind of remote machine vision vibration measurement method of the present invention, the realization steps are as follows:

[0036] Determination of the object to be tested: Measure the pedestrian bridge in Lanzhou University of Technology. The pedestrian bridge is a steel structure glass pedestrian bridge with a length of 10m and a width of 1.6m. The measurement point is obtained at a distance of 20m from the center of the bridge. The measurement time is October 2019 1 day;

[0037] 1) Use the Huawei p30 and the rear SLR telephoto lens of the mobile phone to be fixed on the measurement point through a tripod. The vertical distance between the measurement point and the pedestrian bridge in the school is 20 meters. Vibrating video clips in seconds, and transmitted to the computer by the data storage module for data processing;

[0038] 2) The data processing module mainly includes an image preprocessing unit and a visual vibration measur...

Embodiment 2

[0055] Such as Image 6 As shown, a kind of remote machine vision vibration measurement method of the present invention, the realization steps are as follows:

[0056] Determination of the object to be tested: the Yellow River Bridge in Chengguan District, Lanzhou City, the bridge length is 307.1m, and the measurement point was obtained at 526m away from the center of the bridge. The measurement time was October 5, and the length of the video was 5 minutes. The measured displacement time history curve. Due to the location, the Yellow River Bridge cannot be measured by the traditional displacement meter temporarily, so only the displacement time-history curve measured by the method of the present invention is provided.

[0057] 1) The Xiaomi Mi 8ES and the rear SLR telephoto lens of the mobile phone are fixedly installed on the measurement point through a tripod. The measurement point is 526m away from the center of the bridge. deal with;

[0058] Following steps are with em...

Embodiment 3

[0061] Such as Figure 7 As shown, a kind of long-distance machine vision vibration measurement method described in the present invention, the realization steps are as follows:

[0062] Determination of the object to be measured: Zhangye City National Wetland Park Landscape Bridge, 36.7m long and 2.3m wide, the measurement point is obtained at a distance of 125m from the center of the bridge.

[0063] 1) Use OPPO Reno3 Pro and the rear SLR telephoto lens of the mobile phone to be fixed and installed on the measurement point through a tripod;

[0064] Following steps are with embodiment 1.

[0065] Obtain the structure vibration response time-domain waveform and its frequency response curve to obtain the displacement curve. The displacement curve is implemented on Pycharm by using the OpenCV computer vision library through the Python language, and the attached Figure 7 .

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Abstract

The invention discloses a long-distance machine vision vibration measurement method and a long-distance machine vision vibration measurement device. The long-distance machine vision vibration measurement method comprises the steps of: acquiring a vibration video clip of an ultra-long-distance object to be measured by using an intelligent mobile device provided with a single lens reflex telephoto telescope, and transmitting the vibration video clip to a computer through using a data storage module; and adopting visual vibration measurement and analysis, and carrying out implementation on Pycharm through using a Python language by means of an OpenCV computer vision library. According to the long-distance machine vision vibration measurement method and the long-distance machine vision vibration measurement device, the problems of tedious and time-consuming arrangement of conventional sensors and data acquisition equipment in the prior art are solved, a simple identification device is used, the device is portable, data can be acquired anytime and anywhere, and the purpose of monitoring a structure anytime and anywhere is achieved; and through non-contact measurement of acquiring data at an ultra-long distance and identifying and analyzing the video, the structure of which the geographical position is special and traditional equipment is difficult to arrange can be detected, and thepurpose of relatively high applicability is achieved, so that the application range is relatively wide, and structure monitoring is facilitated.

Description

technical field [0001] The invention belongs to the technical field of structural monitoring, and relates to an economical ultra-long-distance computer vision recognition system and its realization method, in particular to a long-distance machine vision vibration measurement method and device. Background technique [0002] At present, in the gradual development of the field of civil engineering, large-span and high-rise structures can be seen everywhere. The span of the structure is larger and the natural frequency is smaller. Under the action of vehicles, pedestrians and wind loads, it is easy to cause resonance of the structure. Therefore, the monitoring of structural displacement and acceleration becomes more and more important. [0003] Traditional structural system identification uses wired or wireless measurement systems for data collection. The process of arranging sensors and data acquisition equipment is cumbersome and time-consuming, and some structures that are i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H9/00G06T7/13G06T7/80
CPCG01H9/00G06T2207/10004G06T7/13G06T7/80
Inventor 朱前坤胡剑琇陈建邦张琼杜永峰
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
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