Journal of System Simulation
Abstract
Abstract: Chemical production safety accidents often lead to harmful gas leakage, causing serious environmental damage and casualties. Mastering the information of leaking source quickly can assist in emergency disposal decisions and reduce the harm of accidents. In this paper, Entrotaxis algorithm is used to guide the ground source seeking equipment to move to the vicinity of the leaking source quickly and autonomously in a chemical park scene, and to master the source information. According to the characteristics of the chemical industry park scene, this paper applies intermittent search module into Entrotaxis algorithm and proposes a robust and suitable algorithm (Entrotaxis-Jump algorithm). On this basis, a case study of a chemical plant in Shanghai is selected to carry out a simulation experiment using the Matlab.The results show that the Entrotaxis-Jump algorithm increases the success rate of sources seeking in this scenario by 37%, and reduces the average search time by around 7 steps.
Recommended Citation
Yong, Zhao; Chen, Bin; Wang, Xiaodong; Zhu, Zhengqiu; Wang, Rongxiao; and Qiu, Xiaogang
(2019)
"Research on Source Seeking Methods of Harmful Gas leakage in Chemical Industry Parks,"
Journal of System Simulation: Vol. 31:
Iss.
12, Article 30.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0324
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/30
First Page
2810
Revised Date
2019-07-15
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0324
Last Page
2815
CLC
TP391.9
Recommended Citation
Zhao Yong, Chen Bin, Wang Xiaodong, Zhu Zhengqiu, Wang Rongxiao, Qiu Xiaogang. Research on Source Seeking Methods of Harmful Gas leakage in Chemical Industry Parks[J]. Journal of System Simulation, 2019, 31(12): 2810-2815.
DOI
10.16182/j.issn1004731x.joss.19-FZ0324
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