Key Technology Research Of Wireless Sensor Network On Fire Prevention Based On Embedded Technology

With the rapid development of economy, there are more buildings in a city and population density is also growing,and once shopping malls, residential buildings and office buildings appear fire, safety of life and property may be made great harm.Past fire alarm systems and equipment were made of single and complex wiring, or intelligence and the accuracy of system is not high, which often makes false alarm phenomenon.And there are some problems of maintenance because of bad environment and equipment energy, we need to apply an intelligent fire monitoring solution urgently.In this paper I will introduce the embedded system and wireless sensor network technology in fire alarm monitoring.Embedded hardware CC2530 and S3C2440 chip are applied to the sensor nodes and gateway, and embedded Linux operating system, which combined with gateway hardware can improve the portability of the whole system.Using ZigBee technology and BP neural network algorithm is helpful to the specific study of network protocol and data fusion,and we will achieve software testing of network and fire alarm threshold.In the paper, we mainly complete software platform of embedded Linux operating system and the research of ZigBee node, protocol stack address and engineering file test,and using MATLAB neural network toolbox to train the network model.At Hardware design part I choose CC2530 chips with RF function to make related circuit design of coordination, routing nodes and terminal nodes,and make low power consumption S3C2440 hardware design in gateway. At software design part I complete the terminal node program debugging of temperature sensor, smoke sensor and CO sensor in the IAR development environment, and make in gateway software packet transceiver design transplanted the Linux system.Based on the above technology I complete this article that is key technology research of wireless sensor network on fire prevention based on embedded technology.