Gas Leak Real-Time Detection and Volume Flow Quantification Based on Infrared Imaging and Advanced Algorithms

Due to the semi-transparent and irregular nature of gases, it is still a highly challenging task to effectively detect and quantify gas leaks especially those with small flow rates by only utilizing economical equipments. In this paper, we present a strategy for automating real-time identification a...

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Vydané v:	IEEE access Ročník 13; s. 7284 - 7292
Hlavní autori:	Yan, Man, Li, Zhou, Dong, Zheng, Liun, Yiming, Chen, Liyun, Wu, Xiaosong, Wu, Lijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Algorithms Cameras Clustering Clustering algorithms DeeplabV3+ neural network Flow velocity Fluid flow Gas flow Gas identification Gas lasers gas quantification Gases Image edge detection Image segmentation Infrared cameras Infrared imaging Kmeans clustering algorithm Optical filters Optical flow (image analysis) optical flow method Real time Real-time systems Training
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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