Technology Research And Application Of Intelligent Forest Fire Alarm System Based On The Internet Of Things

In this paper, based on ZigBee technology put forward a set of wireless sensor network (WSN) and3G communications technology for the design scheme of intelligent fire alarm system. Using ZigBee technology to set up a personal wireless sensing network system. The network is mainly composed of multiple sensor nodes, the router nodes and a coordinator node composition, because system structure is simple, flexible node placed, and are not subject to any geographical position limit. The parameters of the sensor node detection mainly include the temperature and humidity, concentration of carbon monoxide, carbon dioxide concentration.According to the demand distribution in the dense forest trees, sensor nodes complete the scene environment parameter data acquisition. To access the Internet through the3G network technology transferring to the client and server,the multi-source data were collected after dealing with the node information fusion algorithm to sink node.Nodes to the process of data processing, in order to solve the traditional fire alarm system is only a single kind of quantity change of fire detection. The phenomenon,such as easily leading to false positives and omission. Thought, this paper studies the multi-source information fusion based on the modular form, exploring the BP and RBF multi-source data fusion algorithm in the application of the fire alarm system. From different positions, and physical significance of multi-source information fire, the fire alarm is obtained the index system and the rule of the fire. Many experimental results show that the designed by BP and RBF multi-sensor information fusion algorithm effectively improving the system of judgment. The BP and RBF multi-source information fusion algorithm used in fire alarm system, giving full play to its data redundancy complementarity, and real time and price low waiting for an advantage.