Fire Detection System Based-On Mobile Robots

Abstract:

The paper develops a fire detection system using mobile robots, and calculates the risk values of the escaping paths using Bayesian estimated method. Mobile robots contain two types moving in the platform. One is fire detection robot (FDR) to search fire sources. The other represents the people walking in the platform autonomously. The controller of the mobile robot detects fire source using flame sensor, and receives the motion command from the supervised compute via wireless RF interface. The mobile robot transmits ID code, position and orientation information, positions of fire sources to the supervised computer via wireless RF interface, too. We program the motion path of fire detection robots to search fire sources, and uses Gauss distribution function to describe the risk values of each fire source. The supervised computer uses Bayesian estimated algorithm to calculate the relation risk value of each cross point for multiple fire sources. In the fire condition, each FDR calculates shortest displacement from the people. The assigned FDR carries the people leaving the dangerous area. Then the user interface programs the escaping paths using A* searching algorithm for mobile robots. The mobile robot guides the people (mobile robot) leaving the fire area according the programmed safety escaping path.

• Periodical: Applied Mechanics and Materials (Volume 418)
• Pages: 25-28
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.418.25
• Online since: September 2013
• Authors: Kuo Lan Su, Jr Hung Guo, Cheng Yun Chung, Cheng Yun Chung
• Keywords: Bayesian Estimated Method, Gauss Distribution Function, Mobile Robot, Wireless RF Interface

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