Automatic gas leak detection system
Title
Automatic gas leak detection system
Subject
Gas hydrates
Pipelines
Leak detection
Petroleum transportation
Losses
Gases
Underwater acoustics
Image segmentation
Feature extraction
Submarines
Hough transforms
Median filters
Description
With the development of submarine oil and gas resources, people pay more and more attention to the safety of pipeline transportation. Once an oil and gas leak occurs in the submarine transportation pipeline, it will not only cause direct economic loss but also damage the marine ecology. Therefore, it is particularly important for underwater gas leak detection research. Due to the difficult underwater detection operation and the high labor cost, an embedded module with automatic gas leak detection function is designed and completed in this paper. This paper analyzes the imaging characteristics of multi-beam sounding sonar images, and designs a set of underwater gas leak detection algorithms. The algorithm mainly includes: median filtering, bottom detection, top-hat processing, maximum entropy image segmentation, connected area labeling, nearest neighbor interpolation based on backward mapping, linear upward trend estimation based on Hough transform, and testing of 120 images, With an accuracy rate of more than 98%. 2020 Published under licence by IOP Publishing Ltd.
514
Creator
Wang, Shuai
Gong, Bin
Liu, Yang
Li, Wankun
Publisher
4th International Symposium on Resource Exploration and Environmental Science, REES 2020, April 25, 2020 - April 26, 2020
Date
2020
Type
conferencePaper
Identifier
17551307
10.1088/1755-1315/514/2/022020
URL
http://dx.doi.org/10.1088/1755-1315/514/2/022020
Citation
Wang, Shuai et al., “Automatic gas leak detection system,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28830.