Abstract
Sensor networks have been widely applied in harsh environment monitoring. Fire monitoring is one of the extensive applications. But existing fire monitoring systems based on sensor networks fall into two problems. First, since sensing ability of sensor nodes is limited, the fire alarm may be delay or even fail to report. Next, because of the fire’s uncertainty, it is difficult to accurately determine whether the fire break out or not. This paper proposes a new framework of fire monitoring system based on sensor networks to conquer the above two problems. The system consists of data collection mechanism adopting improved time series prediction algorithm (for short TSDC) and fire detection mechanism using neural network model. Experiment results show that our fire monitoring system can recognize the flaming fire nearly 100%, and fire warning delay can be controlled within 30s. The slow smoldering fire recognition rate can be controlled within 80%, alarm delay can be controlled within 1 minute.
This work is supported by Program for New Century Excellent Talents in University under grant No.NCET-11-0955, Programs Foundation of Heilongjiang Educational Committee for New Century Excellent Talents in University under grant No.1252-NCET-011, Program for Group of Science and Technology Innovation of Heilongjiang Educational Committee under grant No.2011PYTD002, the Science and Technology Research of Heilongjiang Educational Committee under grant No.12511395, the Science and Technology Innovation Research Project of Harbin for Young Scholar under grant No.2008RFQXG107, 2009RFQX080 and No.2011RFXXG014, the National Natural Science Foundation of China under grant No.61070193, 60803015, Heilongjiang Province Founds for Distinguished Young Scientists under Grant No.JC201104, Heilongjiang Province Science and Technique Foundation under Grant No.GC09A109, The Natural Science Foundation of Heilongjiang Province under Grant No. F201038.
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Guo, L., Sun, Y., Li, J., Ren, Q., Ren, M. (2012). A Framework of Fire Monitoring System Based on Sensor Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_35
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DOI: https://doi.org/10.1007/978-3-642-31869-6_35
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