MULTI-SENSOR INTEGRATION SYSTEM FOR FOREST FIRE PREVENTION

  • Kim Eun Hee (School of Electrical&Computer Engineering, Chungbuk National University) ;
  • Chi Jeong Hee (School of Electrical&Computer Engineering, Chungbuk National University) ;
  • Shon Ho Sun (School of Electrical&Computer Engineering, Chungbuk National University) ;
  • Jung Doo Young (School of Electrical&Computer Engineering, Chungbuk National University) ;
  • Lee Chung Ho (Spatial Information Research Team Telematics/USN Research Division, ETRI) ;
  • Ryu Keun Ho (School of Electrical&Computer Engineering, Chungbuk National University)
  • 발행 : 2005.10.01

초록

A forest fire occurs mainly as natural factor such as wind, temperature or human factor such as light. Recently, the most of forest fire prevention is prediction or prevision against forest fire by using remote sensing technology. However in order to forest fire prevention, the remote sensing has many limitations such as high cost and advanced technologies and so on. Therefore, we need to multisensor integration system that utilize not only remote sensing but also in-situ sensing in order to reduce large damage of forest fire though analysis of happen cause and prediction routing of occurred forest fire. In this paper we propose a multisensor integration system that offers prediction information of factors and route of forest fire by integrates collected data from remote sensor and in-situ sensor for forest fire prevention. The proposed system is based on wireless sensor network for collect observed data from various sensors. The proposed system not only offers great quality information because firstly, raw data level fuse different format of collected data from remote and in-situ sensor but also accomplish information level fusion based on result of first stage. Offered information from our system can help early prevention of factor and early prevision against occurred forest fire which transfer to SMS service or alert service into monitoring interface of administrator.

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