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Article

Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory

School of Urban Design, Wuhan University, Bayi Road 16, Wuhan 430072, Hubei, China
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Algorithms 2014, 7(4), 523-537; https://0-doi-org.brum.beds.ac.uk/10.3390/a7040523
Received: 15 June 2014 / Revised: 18 September 2014 / Accepted: 28 September 2014 / Published: 14 October 2014
(This article belongs to the Special Issue Advanced Data Processing Algorithms in Engineering)
Multi-sensor and information fusion technology based on Dempster-Shafer evidence theory is applied in the system of a building fire alarm to realize early detecting and alarming. By using a multi-sensor to monitor the parameters of the fire process, such as light, smoke, temperature, gas and moisture, the range of fire monitoring in space and time is expanded compared with a single-sensor system. Then, the D-S evidence theory is applied to fuse the information from the multi-sensor with the specific fire model, and the fire alarm is more accurate and timely. The proposed method can avoid the failure of the monitoring data effectively, deal with the conflicting evidence from the multi-sensor robustly and improve the reliability of fire warning significantly. View Full-Text
Keywords: multi-sensor; information fusion; building; fire alarm; D-S theory multi-sensor; information fusion; building; fire alarm; D-S theory
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MDPI and ACS Style

Ding, Q.; Peng, Z.; Liu, T.; Tong, Q. Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory. Algorithms 2014, 7, 523-537. https://0-doi-org.brum.beds.ac.uk/10.3390/a7040523

AMA Style

Ding Q, Peng Z, Liu T, Tong Q. Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory. Algorithms. 2014; 7(4):523-537. https://0-doi-org.brum.beds.ac.uk/10.3390/a7040523

Chicago/Turabian Style

Ding, Qian, Zhenghong Peng, Tianzhen Liu, and Qiaohui Tong. 2014. "Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory" Algorithms 7, no. 4: 523-537. https://0-doi-org.brum.beds.ac.uk/10.3390/a7040523

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