TY - JOUR
AU - Meribout, Mahmoud
AB - In oil and gas fields, gas leakage is one of the major concerns, as it causes serious economical, safety, and health consequences. This requires a frequent and periodic inspections of all equipment which either store or transport gases, such as gas pipelines and gas storage tanks. In this paper, a real-time leak detection and localization system which can operate fully autonomously either in a drone or a mobile robot is suggested. The apparatus has the advantage of remotely detecting leaks even in case of humid weather, situation for which most recent leak detection systems such as Long wave Infrared (LWIR) and Medium wave IR (MWIR) fail. The system consists of a Short wave IR (SWIR) camera to remotely detect the existing of leaks even in case of humid weather or during the rain. In addition, the system is not sensitive to thermal radiations which is the case of LWIR and MIIR radiations. A CCD camera, together with a set of sensors that include an Inertial Measurement Unit (IMU) and global positioning system (GPS) are used to accurately determine the location of the leak using image correlation and triangulation techniques. A series of extensive experimental tests demonstrate the capability of the system to detect different types of gas leaks for different scenarios. This leads to state that the suggested system can be a tangible alternative for next generation leak detection systems.
TI - A real-time SWIR- image-based gas leak detection and localization system
JF - Proceedings of SPIE
DO - 10.1117/12.2537924
DA - 2019-09-09
UR - https://www.deepdyve.com/lp/spie/a-real-time-swir-image-based-gas-leak-detection-and-localization-1rcyOeLSwz
SP - 111290B
EP - 111290B-14
VL - 11129
IS - 
DP - DeepDyve
ER -