Study Of The Forest Fire Prevention Warning System Based On Wsn

Wireless sensor networks colligated the techniques of sensors, embedded computers, distributed information processing and wireless communications that can collaborate in real-time sensing, acquisition the information of environment or monitoring objects within the distribution area of the networks. By its real-time information processing, it can obtain the required data, and send it to the appropriate users there. The logical information World and the Objective Physical world are fused together, Wireless sensor networks has changed the way humans interact with nature.This paper firstly introduces the prediction of forest fire forecasting methods and the growing trend of techniques of the prediction of forest fire forecasting at home and abroad, then analyzes the architecture, features, application status and the key techniques of wireless sensor network technology, and demonstrates the advantages of wireless sensor network technology for the forest fire prevention warning system.Analyzing the relevant node deployment and data acquisition system, this paper designs a forest fire data collection system based on wireless sensor network technology. The system has functions of wireless communication and data processing, and can real-timely collecting various data of the environment for prediction and forecast. The collection system consists of sensor nodes, gateway, and control terminal. Combination of GIS and the random node deployment based on decreasing density of deployment, we deployed many sensor nodes randomly in the monitoring region and allowed them to form self-organizing network. First of all, the sensor nodes collect data and send them to the gateway. Then the gateway integrates and save the data, and transfers them to the control terminal. At the same time, the control terminal can also carry out remote real-time control to the other nodes which in the network by the gateway, achieving a comprehensive monitoring of the environment. At the same time, the control terminal can also carry out remote real-time control to the other nodes which in the network by the gateways, achieving a comprehensive monitoring of the environment.In order to conduct a reasonable prediction of forest fire early warning, according to the specific requirements of real-time monitoring, based on understanding the features of fire danger and the occurrence mechanism of forest fire, the paper establishes corresponding fire danger rating model and occurrence model of forest fire. Calculation of the grades of forest fire according to the fire danger rating model; whether occur forest fires for judgment according to the forest fire forecasting model; and establish the forest fire prevention warning system based on WSN finally, monitoring and early warning real-timely to the forest.This research subject is an important content of the construction of Digital Forestry. The research achievements of the subject can provide technical reserves and technical support for Digital Forestry, and plays an important role in promoting system and mechanism innovation of the forest disaster monitoring and warning.