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A Swarm Fire-Fighting Robots Dynamic Control Model for Mine Fires

Chenyang Li, Xuebo Chen

Year
2025
Citations
2

Abstract

Fire poses a significant threat to human activities and industrial production, particularly in large-scale industrial settings such as mining operations. This paper proposes a control model for swarm fire-fighting robots to mitigate the impacts and risks associated with fires. The proposed model can dynamically adjust the number of fire-fighting robots according to the severity of multiple fire points to efficiently fight fires in a cooperative manner. By adopting the model, more fire-fighting robots are allocated to severe fire points, while fewer robots are allocated for less critical fire points. The approach prevents uneven deployment, which could lead to out-of-control fires or unutilised resources.

Keywords

Swarm behaviourRobotFirefightingComputer scienceControl (management)EngineeringControl engineeringArtificial intelligenceGeography

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