Forestry Fire Early Warning And Control System Based On Wireless Sensor Network

In recent years,forest fires have occurred from time to time,which not only caused incalculable loss of natural resources,but also consumed tens of millions of human and financial resources to rescue.Protecting the health and safety of the existing forest system is very important to maintain the natural climate,and it is also an important measure to achieve the harmonious development control methods,consulting the data of evergreen tree forest areas,analyzing the causes and associated factors of fire,and combining with the technical characteristics ont of man and nature.Therefore,the design of a new type of forest fire prevention and control system to monitor the situation of forest fire-prone areas has important economic and human value.Based on the study of existing forest fire prevention andf wireless sensor network,a new type of fire early warning and control system for evergreen tree forest areas is designed in this paper.The system mainly uses sensors to detect carbon monoxide,temperature and humidity,smoke particle concentration and flame signals in forest environment;the wireless communication network established by Zigbee covers the monitoring area,and the acquisition and coordination nodes with CC2530 as the core are responsible for the collection and transmission of field information.The development of Zigbee protocol software makes the whole network communication structure stable.At last,the data is forwarded to the service site remotely through GPRS module.In order to effectively grasp the location information of the monitoring forest area,the improved grid location algorithm is used to locate the randomly deployed unknown nodes.The improved opportunistic routing protocol based on routing metrics can improve the data transmission efficiency in the dynamic network.In the back-end upper computer,BP neural network model is built.Neural network model is used to analyze and process the collected forest information,and display the information results through the interface to realize man-machine interaction and remote management of the network.The experimental results show that the node module designed in this paper can effectively realize data acquisition and processing,and the wireless communication network can successfully transmit and receive data.The network can achieve high positioning accuracy by using improved grid positioning algorithm,the improved routing protocol can reduce the impact of network dynamic changes,and the neural network model can achieve better accuracy in data processing and analysis.The system is not only a new scheme to ensure forest environmental safety,but also has reference value for other intelligent monitoring research of agriculture and forestry.Figure [47] Table [6] Reference [53].