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.

Key words: harmful gas, particle filter, advection-diffusion model, source seeking algorithm