| As a very common disaster in daily life,fire causes enormous harm to the safety of people’s lives and property Therefore,it is necessary to install intelligent fire alarm systems in densely populated public places and dilapidated old buildings with complex lines to maximize the safety of the safety of people’s lives and property.The existing fire alarm systems on the market are mainly divided into three categories:smoke sensing,temperature sensing,and flame sensing.However,the existing fire alarm systems have problems such as using a single parameter alarm detection,which can easily cause f It can easily cause issues such as false alarms and missed alarms,aging of wired transmission lines,and inability to locate trapped personnels.In response to the above issues,this article designs a fire alarm system based on the data fusion technology.This article is based on the Industrial Technology Research and Development Project of Jilin Provincial Development and Reform Commission,titled “Application Research on BIM Based High rise Building Fire Rescue and Big Data Escape Planning System”,to carry out the research and design of the fire alarm system which is based on the data fusion technology.This design adopts ZigBee technology and NB-IOT technology for wireless sensing to improve the reliability of system data transmission.In terms of fire detection,the data fusion technology of smoke concentration,temperature,CO concentration and other sensors is used to collect parameters,and the form and probability of fire under different circumstances,so as to improve the accuracy of fire detection system.In terms of locating trapped personnels,four ZigBee modules are used for networking,and RSSI(Received Signal Strength Indication)for the location algorithm.Three reference nodes and one mobile node are used to calculate the position coordinates of the trapped person to improve the accuracy of wireless positioning.In terms of the Internet of Things platform,China Mobile One NET Internet of Things platform is selected for data upload and storage,and it supports MQTT protocol access to improve the convenience of system visual analysis.The overall design of the system is divided into four parts: data fusion algorithm design,system hardware design,system software design,and the construction of the Internet of Things cloud platform.The system hardware circuit design includes the main control module,wireless transmission module,sensor module,etc.The system software program design includes development environment design,upper computer display interface design,and Io T cloud design.The system adopts data fusion technology to collect fire information,uses RSSI trilateral algorithm to locate trapped personnel and the Internet of Things platform for data storage and display.It is real-time and timely and it can provide alarm and rescue in the first time of a fire,achieving the goal of Fire protection linkage.After the test of software and hardware functional,the system conforms to all state regulationsand and can achieve the expected results. |
