[1]TIAN Zhongfu,WANG Shuyang,HUANG Yinglai.Research on embedded forest fire intelligent monitoring system based on wireless sensors[J].CAAI Transactions on Intelligent Systems,2014,9(6):763-768.[doi:10.3969/j.issn.1673-4785.201406036]
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Research on embedded forest fire intelligent monitoring system based on wireless sensors

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 6 Page number: 763-768 Column: 学术论文—智能系统 Public date: 2014-12-25
Title:
Research on embedded forest fire intelligent monitoring system based on wireless sensors
Author(s):
TIAN Zhongfu;  WANG Shuyang;  HUANG Yinglai
School of Mechanical & Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Keywords:
forest fire; wireless sensor; monitoring center; intelligent system; forest fire monitoring; wireless protocol; network node; positioning algorithm
CLC:
TP21
DOI:
10.3969/j.issn.1673-4785.201406036
Abstract:
Aiming at the deficiencies of traditional forest fire monitoring techniques, the advanced wireless sensor network technology and embedded technology are combined and applied to the forest fire monitoring system. Thus, this kind of enhanced intelligent forest fire monitoring system that can increase the forest fire recognition rate is put forward in this paper. The system uses the wireless network protocol,ie ZigBee network. The ZigBee network is simple, has small path information occupy memory capacity, is suitable for monitoring the environment of forest, and can effectively reduce the energy consumption and the cost of system. Experimental results showed the system has the characteristics of stable operation and flexible network, which can be used for the real-time monitoring of the environmental information of the forest monitoring region. When fire is found, the system will use the DV-Hop algorithm to automatically realize accurate positioning and timely send the alarm information. This is a good foundation for subsequent fire fighting work and provides a reference for intelligent digitization of forestry construction work as well.
References:
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