Development Of Civil Intelligent Fire Alarm System Based On Data Fusion Technology And WSN

The fire alarm system is one of the urban security infrastructures.After the fire occurs,it will not only directly harm people's property safety,but also harm personal safety.At present,the automatic fire alarm system has problems such as small application scale,low intelligence,and aging of connection methods.The wireless sensor network(WSN)technology is combined with the national fire alarm system design standard “GB50116-2013”,which is based on multi-sensor.The information fusion technology of the civil fire intelligent alarm system to solve the frequent fires in the residential areas,effectively reducing the false alarms and false negative rate of the active fire alarm system.The main contents are as follows:1.The hardware circuit of intelligent fire alarm system is designed,including environment collector,wireless communication and centralized controller.It involves the minimum control system chip,environmental data acquisition circuit,wireless transmission circuit and so on.Achieve intelligent remote acquisition and monitoring.2.The software of intelligent fire alarm system is designed,including environmental collector program design,centralized controller program design,network communication scheme based on NRF24L01 and GPRS,which realizes centralized control and management of the system.3.An algorithm based on multi-sensor information fusion technology to process environmental data is proposed.In the information fusion technology,considering the particularity of data and the reliability of output,BP neural network and fuzzy decision-making are combined to deal with fire data.4.The user fire alarm APP based on Android platform is designed,including the interface establishment of the server,the database realized by JAVA language,the design of Android APP and the design of UI interface of App user,and the use of TCP and Http in data interaction.5.The system platform was built and the test and simulation were completed.Test aspects include: GPRS performance test,environmental parameter acquisition test,liquid crystal display test,fire alarm user APP performance test.In the simulation,it includes: feature layer BP neural network simulation,fuzzy decision output simulation.Better implementation of system design goalsThe test results show that the system realizes the functions of automatic collection of environmental data,wireless transmission,real-time display,APP remote monitoring,fire pre-alarm and other functions to achieve the expected goals.In the follow-up research process,the system needs to increase the fire-fighting device to form a fire alarm linkage and optimize the BP neural network training samples to achieve a more intelligent fire alarm and linkage system.The application of intelligent fire alarm system has social significance and application value for improving residents' life safety and property safety.