Leakage source location based on Gaussian plume diffusion model using a near-infrared sensor

• Published in: Infrared physics & technology Vol. 109; p. 103411
• Main Authors: Ye, Weilin, Zhou, Bo, Tu, Zihan, Xiao, Xupeng, Yan, Jingwen, Wu, Tao, Wu, Fupei, Zheng, Chuantao, Tittel, Frank K.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-09-2020
• Subjects: Gaussian plume model; Leakage source location; Leastsquare method; Sensor array; Gaussian plume model; Sensor array; Leastsquare method; Leakage source location
• ISSN: 1350-4495; 1879-0275
• DOI: 10.1016/j.infrared.2020.103411

•A near-infrared methane sensor system with the absorption line at 6046.95 cm−1 and Allan deviation of 850 parts-per-billion by volume was employed.•A static odor source localization algorithm based on the Gauss plume diffusion model and a least square method is proposed.•An iterative search program was used in this algorithm to obtain the optimal solution.•The experimental result showed that the comprehensive error is 8.93%, which was close to the simulation result and verified the feasibility of the positioning algorithm.
Developing sensitive sensors to measure trace gas concentration levels is important for environmental monitoring. Leakage source location based on measured concentration levels to prevent potential danger is of significance. A near-infrared methane (CH4) sensor system with a modulation frequency of 4 kHz targeting the absorption line at 6046.95 cm−1 and an Allan deviation of 850 parts-per-billion by volume (ppbv) was employed for leakage source location. A static odor source localization algorithm based on the Gauss plume diffusion model and a least square method is proposed. Formulations and equations of leakage location were deduced. An iterative search program was used to obtain the optimal solution. Simulation result showed the synthetic location error of 7.91%, which was close to the experimental result of 8.93%. Feasibility of the location algorithm was verified through the comparison.