Research on multi-UAV air pollution source localization algorithm based on emotional quantity

• Autorzy: Lin, Luyao , Ding, Tao , Hu, Lifang , Li, Jinye
• Języki publikacji: EN

Abstrakty

EN

With the advancement of industrialization, the problem of atmospheric environmental pollution is becoming more and more prominent. To solve this problem, an unmanned aerial vehicle (UAV) as an airborne platform was used to design an air pollution source localization method based on an anxiety-auction algorithm and verify the feasibility of the algorithm through simulation analysis and indoor source localization experiments. The algorithm innovatively introduces the concept of anxiety in psyhology into the traditional auction algorithm. By enabling each drone to make a “rational” auction time decision based on its emotional state, team resources can be conserved, and overall source localization efficiency can be enhanced. Based on different environmental factors and conditions, the number of drones and other multi-perspective comparison analyses with the traditional auction algorithm, the analysis results show that the anxiety-auction algorithm performs better in terms of success rate and distance ratio. This paper also built a set of atmospheric pollutant source localization platforms, consisting of an ultra-wideband (UWB) indoor positioning device, UAV platform, source localization monitoring and control module, and the indoor source localization experiment of atmospheric pollutants based on multiple UAVs was successfully designed and carried out.

Słowa kluczowe

PL

kontrola zanieczyszczeń powietrza; pojazd powietrzny; źródła zanieczyszczeń powietrza; uprzemysłowienie; algorytm lokalizacji

EN

air pollution control; aerial vehicle; air pollution sources; industrialisation; localization algorithm

• Czasopismo: Environment Protection Engineering
• Rocznik: 2024
• Tom: Vol. 50, nr 3
• Strony: 109--130
• Opis fizyczny: Bibliogr. 16 poz., rys., tab

Twórcy

autor

Lin, Luyao

• School of Environmental Science and Safety Engineering, China Jiliang University, Hangzhou 310018, China

autor

Ding, Tao

• School of Environmental Science and Safety Engineering, China Jiliang University, Hangzhou 310018, China,

autor

Hu, Lifang

• School of Environmental Science and Safety Engineering, China Jiliang University, Hangzhou 310018, China

autor

Li, Jinye

• School of Environmental Science and Safety Engineering, China Jiliang University, Hangzhou 310018, China

Bibliografia

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Identyfikatory

DOI

10.37190/epe240307