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Dam monitoring analysis method and system based on image recognition technology

An image recognition and analysis method technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as high cost, inability to meet dam monitoring, and lack of close engineering connections, and achieve accurate detection results.

Pending Publication Date: 2022-06-07
福建华电福瑞能源发展有限公司古田溪水力发电厂 +1
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Problems solved by technology

[0004] The traditional monitoring analysis is often separated from the building body, and the simple data analysis is not closely related to the engineering, and it is all based on modeling and calculation of the data of a single monitoring point. Although this analysis method can accurately identify the cracks at the measuring point , but it fails to take into account the linkages and behavioral changes of the building as a whole
Due to the high cost and the need to ensure the safety of the structure, the location of the measuring points inside and on the surface of the dam is extremely sparse, so the single measuring point model cannot meet the overall monitoring of the dam

Method used

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  • Dam monitoring analysis method and system based on image recognition technology
  • Dam monitoring analysis method and system based on image recognition technology

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Embodiment 1

[0033] This embodiment provides a dam monitoring and analysis method based on image recognition technology, including:

[0034] S1: Preprocessing the collected panoramic image of the dam through the preprocessing module 100 .

[0035] The preprocessing module 100 includes a smoothing unit 101, a binarization unit 102 and a segmentation unit 103;

[0036] (1) The smoothing unit 101 filters out the frequency domain noise in the panoramic image of the dam through the inter-frame difference strategy, and completes the noise reduction process.

[0037] (2) The binarization unit 102 calculates the frequency of occurrence of each gray value in the denoised panoramic image of the dam, and calculates the binarization threshold T according to the frequency, and performs binarization on the denoised panoramic image of the dam processing.

[0038] The frequency f(x) of each gray value in the denoised panoramic image of the dam is:

[0039]

[0040] The binarization threshold T is:

...

Embodiment 2

[0074] refer to figure 1 , is the second embodiment of the present invention, which is different from the first embodiment in that it provides a dam monitoring and analysis system based on image recognition technology, including:

[0075] The preprocessing module 100 is used to preprocess the collected dam panoramic image; the preprocessing module 100 includes a smoothing unit 101, a binarization unit 102 and a segmentation unit 103; the smoothing unit 101 is used to filter out the dam panoramic image The frequency domain noise of Similar region segmentation is performed on the result output by the binarization unit 102 .

[0076] The feature extraction module 200, connected with the preprocessing module 100, is used to perform feature extraction on the preprocessed data;

[0077] The feature fusion module 300, connected with the feature extraction module 200, is used to establish a dam crack detection model according to the features extracted by the feature extraction modul...

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Abstract

The invention discloses a dam monitoring analysis method and system based on an image recognition technology, and the method comprises the steps: carrying out the preprocessing of a collected dam panoramic image through a preprocessing module; performing feature extraction on the preprocessed image by using a feature extraction module, and sending features to a feature fusion module; the feature fusion module establishes a dam crack detection model according to the features, and then optimizes the dam crack detection model based on a chaos genetic algorithm; inputting the panoramic image of the dam into the optimized dam crack detection model, and identifying the crack of the dam in real time; according to the invention, based on artificial intelligence technologies such as machine vision and deep learning, images are processed, analyzed and understood by using a computer, and defects occurring in the operation process of the dam can be accurately detected.

Description

technical field [0001] The invention relates to the technical field of dam detection, in particular to a dam monitoring and analysis method and system based on image recognition technology. Background technique [0002] As water conservancy projects play an increasingly important role in China's energy structure, dam safety issues have become increasingly prominent, so the field of dam safety monitoring was born. The specific method is to install specific monitoring instruments inside or on the outer surface of the dam body during and after the construction of the dam body to be responsible for different monitoring objects, such as the horizontal displacement of the dam body surface along the river, and the horizontal displacement of the dam surface. The horizontal displacement or the settlement of the dam body measuring point position in the vertical direction, etc. [0003] The analysis of the monitoring data of the Gutianxi first-class dam mainly involves manual processi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/26G06V10/28G06V10/30G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06N3/086G06T2207/20081G06T2207/20084G06T2207/30132G06N3/047G06F18/253Y02A10/40
Inventor 林茂郑炜魏艳清洪健鸿李引林铮林飞许伟杰林捷杨志恒吴志伟尹广林孙勇单良
Owner 福建华电福瑞能源发展有限公司古田溪水力发电厂
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