Paper
9 October 2022 A method for detecting water leakage in heating pipes based on infrared and visible images
ZhiJie Wang, ZhiJun Ma, ZiFeng He, XueJing Tan, YaFeng Zheng
Author Affiliations +
Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 1224619 (2022) https://doi.org/10.1117/12.2643585
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
Aiming at the complex environment in the inspection of underground heating pipes, including high-temperature flanges, valves, and stale water stains on the surface of heat pipes, a method for detecting water leakage in heating pipelines combining thermal infrared and visible images is designed. Temperature anchor frame detection is performed on thermal infrared images, and deep learning is used for visible image for water stain anchor frame detection. This paper proposes a detection method for determining the degree of correlation and high temperature point to determine the water outlet point based on the position coincidence degree, which excludes the infrared interference caused by the high temperature of the flange and valve, and the visible light interference caused by the old water stains, and has a good detection result for the leakage of the heat pipe.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
ZhiJie Wang, ZhiJun Ma, ZiFeng He, XueJing Tan, and YaFeng Zheng "A method for detecting water leakage in heating pipes based on infrared and visible images", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 1224619 (9 October 2022); https://doi.org/10.1117/12.2643585
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KEYWORDS
Infrared imaging

Infrared radiation

Thermography

Visible radiation

Infrared detectors

Inspection

Image segmentation

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