Infrared thermal imaging intelligent identification method and system for accumulated water in bridge steel box

CN120808183AActive Publication Date: 2025-10-17JSTI GRP INSPECTION & CERTIFICATION CO LTD +1
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Patent Information

Application Number
CN202511309414.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-15
Publication Date
2025-10-17
Estimated Expiration
2045-09-15

AI Technical Summary

Technical Problem

In the existing technology, it is difficult to achieve large-scale, batch, and immediate intelligent screening and identification of infrared images for water accumulation detection in bridge steel boxes, resulting in low efficiency, strong subjectivity, and inability to detect safety hazards in a timely manner.

Method used

Infrared imaging equipment is used to collect infrared images of the bridge steel box bottom plate. By establishing a waterlogging-free infrared image dataset, the waterlogging identification index is calculated. Sliding pane scanning and genetic algorithm are used to optimize the binary segmentation threshold to automatically identify and calculate the area of ​​the waterlogged area.

Benefits of technology

It achieves accurate identification and automated screening of waterlogged areas in infrared images, improves detection efficiency and accuracy, and can instantly output large-area detection results.

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Abstract

The invention discloses a bridge steel box accumulated water infrared thermal imaging intelligent identification method and system, and the method comprises the steps: collecting an infrared image of a to-be-identified region, and obtaining a temperature value of the to-be-identified region; establishing a waterlogging-free infrared image data set of the region to be identified; calculating ponding identification indexes of the ponding-free infrared images in the ponding-free infrared image data set, calculating an average value and a standard deviation of the ponding identification indexes of all the ponding-free infrared images, and calculating control lines on a control chart by adopting a Shehart control chart; scanning and searching the infrared image of the to-be-identified area line by line in a sliding pane mode, and calculating a sliding pane ponding identification index; constructing a ponding judgment index, and judging whether ponding exists in the infrared image of the to-be-identified area; calculating a ponding area boundary binarization segmentation threshold value for the infrared image which is judged to have ponding; and calculating the binarization segmentation pixel area of the infrared image of the to-be-identified area, and calculating the physical area of the ponding area according to the pixel area, the focal length of the infrared imaging equipment and the shooting distance.
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Citation Information

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