A Framework of Fire Monitoring System Based on Sensor Networks

  • Longjiang Guo
  • Yihui Sun
  • Jinbao Li
  • Qianqian Ren
  • Meirui Ren
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7405)

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.

Keywords

Sensor Network Wireless Sensor Network Neural Network Model Recognition Rate Fire Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Longjiang Guo
    • 1
    • 2
  • Yihui Sun
    • 1
  • Jinbao Li
    • 1
    • 2
  • Qianqian Ren
    • 1
    • 2
  • Meirui Ren
    • 1
    • 2
  1. 1.School of Computer Science and TechnologyHeilongjiang UniversityHarbinChina
  2. 2.Key Laboratory of Database and Parallel ComputingHarbinChina

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