Multi-unmanned aerial vehicle odor source location based on improved artificial fish swarm algorithm

• Autorzy: Ding Tao , Zhong Wenhan , Cai Yufeng

Identyfikatory

DOI

10.24425/bpasts.2024.150329

• Języki publikacji: EN

Abstrakty

EN

Odor source location technology has important application value in environmental monitoring, safety emergency and search and rescue operations. For example, it can be used in post-disaster search and rescue, detection of hazardous gas leakage, and fire source detection. Existing odor source location methods have problems such as low search efficiency, inability to adapt to complex environments, and inaccurate odor source location. In this study, based on unmanned aerial vehicle technology and using swarm intelligence optimization algorithm, an improved artificial fish swarm algorithm (IAFSA) is proposed by combining curiosity in psychology on the basis of retaining the good optimization performance of the artificial fish swarm algorithm. The algorithm quantifies the curiosity of artificial fish searching high-concentration areas through a model, dynamically adjusts the artificial fish field of vision and step length with the calculated curiosity factor, and avoids the oscillation phenomenon in the later stage of the algorithm. Simulation results show that the IAFSA has a higher success rate and smaller location error. Finally, odor source location experiments were carried out in an indoor physical environment, the feasibility of the odor source location method proposed in this study is verified in actual scenarios.

Słowa kluczowe

EN

odor source location; artificial fish swarm algorithm; unmanned aerial vehicle; active olfaction

PL

lokalizacja źródła zapachu; algorytm sztucznego roju ryb; bezzałogowy statek powietrzny; węch aktywny

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 4
• Strony: art. no. e150329
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Ding Tao

• China Jiliang University, Hangzhou, China

• https://orcid.org/0000-0003-4323-7625

autor

Zhong Wenhan

• Zhejiang Light Industrial Products Inspection and Research Institute, Hangzhou, China

autor

Cai Yufeng

• China Jiliang University, Hangzhou, China

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