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Dam Natural Frequency Identification Method Based on Video Measurement

A technology of natural vibration frequency and identification method, which is applied in the direction of measuring devices, color TV parts, TV system parts, etc., can solve the problem of low spatial resolution of data, achieve high spatial resolution, and save manpower, material and financial resources Effect

Active Publication Date: 2020-04-24
WUHAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, due to the sparse arrangement of sensors relative to the dam, the spatial resolution of the acquired data is low

Method used

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  • Dam Natural Frequency Identification Method Based on Video Measurement
  • Dam Natural Frequency Identification Method Based on Video Measurement

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Embodiment Construction

[0023] The specific implementation of the video measurement-based dam natural frequency identification method involved in the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024]

[0025] Such as figure 1 As shown, a concrete gravity dam 1 has a height of 103m, a crest width of 14.8m, an upstream storage level of 93.0m, and a downstream storage level of 32.0m. In order to measure its natural vibration frequency, DJI M600PRO UAV 2 was used to take pictures of the vibration process of the dam, as shown in figure 2 As shown, in the present embodiment, the specific steps of the dam natural frequency identification method based on video measurement are as follows:

[0026] Step 1: Collect the drone's non-natural frequency

[0027] Firstly, the wireless acceleration sensor 3 is fixed on the fuselage of the UAV 2 to collect the vibration of the UAV 2 itself. In order to reduce the influence of the wireless acceleration sens...

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Abstract

The invention provides a method for identifying the natural vibration frequency of a dam based on video measurement, which saves time and effort, saves costs, and can provide higher spatial resolution. It is characterized in that it includes the following steps: The sensor acquires the vibration frequency of the UAV itself; controls the UAV to fly over the dam crest, and uses the camera installed on the UAV to take pictures of the dam top surface, and the edge of the dam crest should be photographed to obtain the vibration video of the dam crest; from the dam crest Extract the stable video containing the image of the edge of the dam crest from the vibration video; process the stable video based on the phase motion estimation algorithm to obtain the motion information of the edge of the dam crest; process the motion information of the edge of the dam crest and extract the vibration frequency through the frequency domain decomposition method , and remove the UAV's own vibration frequency from the extracted vibration frequency to obtain the natural vibration frequency of the dam.

Description

technical field [0001] The invention relates to a method for identifying the natural vibration frequency of a dam based on video measurement. [0002] technical background [0003] As a water-retaining structure, a dam has obvious political and economic benefits to society. It plays an important role in flood control, shipping, irrigation and power generation. However, during the service period of the dam, it may be damaged to varying degrees due to material aging, earthquakes, terrorist attacks, repeated blasting and excavation vibration disturbances in expansion projects, and human factors, which may cause it to fail to fully exert its design benefits. More seriously, It will seriously threaten the personal safety of downstream residents. Therefore, dam safety monitoring has very important practical significance. [0004] The identification of the dynamic characteristics (natural frequency, mode shape and damping ratio) of the dam is one of the important ways to carry ou...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/13H04N5/232G01H17/00
CPCG06T7/13G06T7/246G01H17/00G06T2207/20024G06T2207/30184G06T2207/10016H04N23/80
Inventor 王高辉李麒卢文波钮新强陈明严鹏
Owner WUHAN UNIV
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