The Research Of Intelligent Building Fire Monitoring System Based On ZigBee

City building is a product of the21st century rapid economic development, They have vastmajority of interior decoration materials, electrical equipments, staffs and floors. If fire happens,it will spread rapidly, and cause heavy casualties and economic losses. The traditional firemonitoring has many omission of misinformation phenomenon, which does not meet modern firecontrol accuracy and stability requirements. Therefore, an intelligent building fire control systemis very important and urgent.This thesis uses the ZigBee technology and data fusion technique to study the firemonitoring in intelligent buildings. This paper analysis the structure of ZigBee device types,protocol stacks, project files of ZigBee technology, studies the ZigBee addresses and routingcapabilities,and designes the overall structure of the fire monitoring network. This paper designsof the three-tier model of BP neural network to collect temperature、smoke and CO dataintegration to arrive at the fire occurrence probability by artificial neural network technology inthe process of data fusion. We use Matlab neural network Toolbox to train the BP networkmodels.In the overall design, the thesis designs the system in hardware and software components.In the hardware, the system applies the2.4-GHZ CC2530which is ZigBee’s master chip, usingtemperature, smoke and CO of three sensors for data acquisition, and this paper proposes thedetailed design of the system’s hardware circuits. In the software, TI’s Z-Stack protocol stack isused to establish system, this paper gives the designing of the software process of Coordinatorand the terminal nodes, and focuses on software designing of three types of sensors. In the final,we test the networking and fire monitoring of the system.