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Method for monitoring and recognizing pulling rope corrosion and evaluating fatigue life on basis of computer vision

A technology of computer vision and fatigue life, applied in the direction of weather resistance/light resistance/corrosion resistance, measuring devices, instruments, etc., to achieve the effect of improving automation, reducing manual participation, improving efficiency and

Active Publication Date: 2018-06-29
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the limitations of non-destructive testing methods (such as magnetic flux leakage testing, X-ray testing, ultrasonic testing, cable force testing based on vibration method, etc.), only a very small part of the cable stays have been tested during the actual operation of the cable-stayed bridge.

Method used

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  • Method for monitoring and recognizing pulling rope corrosion and evaluating fatigue life on basis of computer vision
  • Method for monitoring and recognizing pulling rope corrosion and evaluating fatigue life on basis of computer vision
  • Method for monitoring and recognizing pulling rope corrosion and evaluating fatigue life on basis of computer vision

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Embodiment 1

[0040] Such as figure 1 As shown, a computer vision-based cable corrosion monitoring identification and fatigue life assessment method, the steps are as follows:

[0041] Step 1, update the corrosion fatigue data set: select the area to be evaluated for the original input image, and then cut the selected area into a 64×64×3 subunit set, and the number of samples is determined according to the need; at the same time, input the uniform corrosion of the corroded steel wire degree and fatigue life information at different stress amplitudes. After completion, the newly added corrosion images will be merged into the original data set, and each corrosion image corresponds to the corresponding uniform corrosion degree and fatigue life under different stress amplitudes. So far, the corrosion fatigue data set has been updated.

[0042] Step 2, Corrosion degree evaluation model modeling: After updating the data set, draw the probability distribution diagram of the red component of the ...

Embodiment 2

[0055] Such as Figure 3-13 Shown are the modeling results of the time-varying corrosion model, the modeling results of the fatigue life degradation model, and the corrosion fatigue evaluation results of the service cables, respectively. Compared with the fatigue life test results of steel wires in service after cable replacement, the prediction errors under each stress range are all within 15%.

[0056] Among them, the artificial accelerated corrosion test conditions are: dissolving chemically pure sodium chloride in distilled water with a conductivity not exceeding 20 μS / cm, the prepared concentration is 50g / L±5g / L, and the prepared concentration is at 25°C. At 1.05g / cm 3 , then add an appropriate amount of copper chloride dihydrate, the mass concentration reaches 0.26±0.02g / L, and add an appropriate amount of glacial acetic acid to make the pH value of the corrosion solution reach 3.0; the temperature of the salt spray box is controlled at 35±2°C. The stress ratio of the ...

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Abstract

The invention provides a method for monitoring and recognizing pulling rope corrosion and evaluating a fatigue life on the basis of computer vision. The method comprises the following steps: shootingan image of a corroded high-strength steel wire by a perspective inspection window at an anchoring end of a pulling rope, extracting image characteristics from the image, then building a corrosion-degree evaluation model, then building a fatigue-life characteristic energy number evaluation model, matching with a performance degrading state of the corrosion and the fatigue of the steel wire under an artificially accelerated corrosion test, and finally finishing the corrosion-state recognition and the fatigue-life evaluation of the in-service pulling rope. The method provided by the invention has the beneficial effects that the recognition accuracy is high, the speed is fast and the cost is low; the requirement for real-time data processing of online monitoring and early warning of corrosionand fatigue of the pulling rope also can be met, i.e., the image acquired by a consumer-grade ordinary camera is directly recognized without data-set updating; the automation, intelligentization, accuracy and robustness of corrosion monitoring and recognition and fatigue-life evaluation of the pulling rope are improved, and a solution is provided for automatic monitoring and recognition of the corrosion and the fatigue of the pulling rope of a bridge structure.

Description

technical field [0001] The invention relates to a method for monitoring and identifying cable corrosion and evaluating fatigue life based on computer vision. Background technique [0002] With the rapid development of my country's national economic construction, large bridge structures play an extremely important role and are the economic lifeline of a country and region. At the same time, the construction and maintenance of bridges are also an important part of a country's infrastructure construction. The cable-stayed bridge is a type of bridge that is widely used at present because of its large span, beautiful appearance, and convenient construction. As the main load-bearing component of the cable-stayed bridge, the cable-stayed cables are composed of high-strength steel wire bundles and PE sheaths. During the service period of several decades, the stay cables will inevitably lead to damage accumulation and The resistance decays, so the ability to resist natural disaster...

Claims

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Application Information

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IPC IPC(8): G01N3/06G01N17/00
CPCG01N3/068G01N17/006
Inventor 李惠李顺龙徐阳
Owner HARBIN INST OF TECH
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