Estimation Strategy of Hazardous Gas Source Term Based on Improved Genetic Algorithm
Conference: ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science
01/21/2022 - 01/23/2022 at Harbin, China
Proceedings: ICETIS 2022
Pages: 7Language: englishTyp: PDF
Authors:
Ma, Boya (Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China & Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou, Fujian, China & College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian, China & Guangzhou Institute of Industrial Intelligence, Guangzhou, Guangdong, China)
Liu, Jinqing (Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, Fujian, China & Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fujian Normal University, Fuzhou, Fujian, China & College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, Fujian, China)
Xiao, Jinchao; Liu, Jihai (Guangzhou Institute of Industrial Intelligence, Guangzhou, Guangdong, China)
Abstract:
Hazardous chemical gas leakage accidents occur from time to time in the chemical industry, which has a serious impact on the public and the environment. Therefore, accurately determining the location and strength of leakage source is the key to deal with leakage accidents. Genetic algorithm is often used to estimate the source term information of gas leak-age accidents, but it has the phenomenon of premature convergence, so it is often combined with other algorithms. Therefore, in order to overcome this problem, an improved genetic algorithm is proposed for source term estimation, which can obtain more accurate source term information in a short time and play a data support role for emergency res-cue after an accident.