Research On Multi-sensor Protocol Fusion Technology

Internet of things(IoT)is an Internet connected with things.It is an important part of the new generation of information technology,and is highly valued by the countries all over the world.With the development of communication technology,it will bring the mixing and interweaving of large scale heterogeneous network,massive sensor devices and various sensor protocols in the future.In order to solve the problem of the inconsistency of different types of sensor communication protocols and the problem of data acquisition,analysis,correlation and evaluation of multi sensors in different business applications,it has important practical significance to carry out multi-sensor protocol integration and information fusion.In this thesis,the method of multi sensor protocol conversion and integration for a fire alarm system of house is studied.A multi-sensor protocol integration method for home fire security is proposed.By analyzing the data formats of sensors such as temperature and humidity sensors,smoke sensors and gas sensors,a unified data packet structure is established.And a multi-protocol integration method is designed.The multi-sensor protocol integration is implemented based on ARM platform.Test results show that the proposed method not only realizes the integration of multi-sensor protocol,but also effectively controls the transmission error rate and data transmission delay.Further,for the specific application of IoT for home fire prevention,aiming at the difference of detection data of different types of sensors,this paper conducts multi-sensor information fusion by combining adaptive weighted algorithm with BP neural network.The algorithm flow design,network parameter setting,sample selection and data training are studied.Through test analysis,the correctness and effectiveness of the algorithm have been verified,and the measurement error of information fusion is controlled within 1%,which can successfully predict the occurrence of fire.Through the research in this paper,we provide the key technologies and methods to meet the multi-sensor application requirements of large-scale heterogeneous networks in the context of IoT.