NDLI: Autonomous Fire-Detection System Using Adaptive Sensory Fusion for Intelligent Security Robot

Content Provider	IEEE Xplore Digital Library
Author	Luo, R.C. Su, K.L.
Copyright Year	1996
Abstract	The multisensor fire-detection algorithm is one of the current important issues in the field of fire-detection systems for intelligent buildings. This paper proposes an adaptive fusion algorithm for fire detection, and uses a smoke sensor, flame sensor, and temperature sensor to detect fire incident. In reality, the phenomenon of the fire incident may have smoke, flame, and high-temperature situations. However, these signals may happen simultaneously or sequentially. We use adaptive fusion algorithms to a more reliable decision. However, the adaptive fusion algorithm is more complex in real conditions. Therefore, we use a Taylor expression to modify the adaptive fusion algorithm and simulate to compare with results on first-order, second-order, and third-order expressions. The modified adaptive fusion method can provide adequate reliable fusion for fire detection. We use computer simulation to improve the adaptive fusion algorithm that is accurate and adequate. Then, we design a fire-detection module using an ionization smoke sensor (TG-135), temperature semiconductor sensor (AD590), and ultraviolet sensor (R2868). The experimental results of the fire-detection module demonstrate that it can detect fire incidents in a variety of conditions. Finally, we implement the real-time fire-detection module in an intelligent security robot (Chung Cheng I). If a fire incident occurs, the security robot can find the fire source using the fire-detection module and transmit the detected message to the user via the Internet and a GSM modem.
Starting Page	274
Ending Page	281
Page Count	8
File Size	1081967
File Format	PDF
ISSN	10834435
Volume Number	12
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent robots Adaptive systems Intelligent sensors Security Robot sensing systems Fires Temperature sensors Smoke detectors Sensor fusion Sensor phenomena and characterization multisensor fire-detection algorithm (MSFDA) Adaptive fusion algorithm intelligent security robot
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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