Development of Intelligent Fire Detection Module Using Optic-Sensors

Abstract:

The paper proposes an adaptive fusion algorithm using competitiveness sensors for fire detection module, and uses computer simulation results to select the optimal weight values for each optic-sensor. Then we design the fire detection module using the tuned weight values of optic-sensors. The competitiveness flame sensor type is ultra-violet sensor (R2868). The controller of the module is HOLTEK microchip, and acquires the detection signals from the optic-sensors through I/O pins, and transmits the detection signals of all sensors to the computer via wire series interface. The adaptive fusion algorithm can tunes weight values according to decision output of the fusion center. The fusion algorithms of the fusion center use Bayesian estimated method to decide the fire event to be true or not. We set the improved weight values in the module for each optic-sensor. From the simulation and experimental implementation results, it demonstrates that the proposed algorithms can compute the adequate weight values.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 440-443
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.440
• Online since: February 2013
• Authors: Yung Chin Lin, Kuo Lan Su, Cheng Yun Chung
• Keywords: Adaptive Fusion Algorithm, Bayesian Estimated Method, Competitiveness Sensors, HOLTEK Microchip, Ultra-Violet Sensor, Wire Series Interface

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