An algorithm for gas pollution source localization in flood control protection areas based on swarm intelligence

Guoping Du; Xian Shao; Huiming Jin; Xinyan Jiang

doi:10.1117/12.3039504

4 September 2024 An algorithm for gas pollution source localization in flood control protection areas based on swarm intelligence

Guoping Du, Xian Shao, Huiming Jin, Xinyan Jiang

Author Affiliations +

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132592Q (2024) https://doi.org/10.1117/12.3039504
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

A multiple UAVs gas pollution source localization method based on improved RRT algorithm is proposed to address the problem of gas pollution source localization in flood control protection areas, which is randomly distributed and difficult to monitor. Using FLUENT software to construct a CFD simulation concentration field, the improved RRT algorithm was validated, and the gas pollution source was successfully located, demonstrating its feasibility for implementation. Three algorithms were compared and analyzed in simulation environments with different wind speeds. The results showed that the improved RRT algorithm has good stability and robustness, effectively improving the success rate of UAV gas pollution source localization, shortening search time, and optimizing flight path. It provides an effective method for environmental monitoring in flood control protection areas.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guoping Du, Xian Shao, Huiming Jin, and Xinyan Jiang "An algorithm for gas pollution source localization in flood control protection areas based on swarm intelligence", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132592Q (4 September 2024); https://doi.org/10.1117/12.3039504

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available