Automatic gas leak detection system

Abstract

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%.