Indoor Environmental Monitoring Data Fusion Method Based On Bayesian Network

With the proposal of the concept of the Internet of Things, our country pay moreand more high attention to the Internet of things industry.The Internet of things and thesurrounding industry get a good development space. Internet of things plays more and moreimportance a role in our work and life. As the Internet of things technology-basedmulti-sensor network has played a guiding role in the study of the Internet of Things.Combined with the characteristics of Internet of Things,, multi-sensor networks playan important role on information integration in processing.This article focuses on processing uncertainty information in the informationfusion in multi-sensor networks combined with indoor environmental informationfusion research and experimental verification.In the first part of introduction mainlyintroduces the research background in data fusion method, introduces thedevelopment status of information fusion, illustrates the significance of research. Inthe second part firstly introduces the concept of Internet of things and some basicknowledge of data fusion, such as the definition and characteristic of the Internet ofthings, the definition and classification of data fusion. Then introduces the reasons ofthe uncertainty information in the Internet of things, especially on the processinguncertain information important role for the Internet of things as a whole, introducesseveral main models in the multisensor data fusion, and gives some correspondingpractical way to monitor the convergence of the indoor environment, put forwardaccording to the characteristics of the multisensor data network and the Internet ofthings using bayes network processing uncertainty data. In the third part of therelevant concepts of bayes network and characteristics. Provides an introduction to thefield of application of bayes network and build approach. Analyzed the use ofbayesian network to deal with uncertain data in sensor network, the more advantage,and presents the use of intelligent household design model using bayesian networkprocessing indoor data fusion model. In the fourth part, the design scheme is given in the third part according to specific environmental information given by theexperiments have been carried out to verify the method of data handling uncertainty.In the fifth part made a summary about paper workThe experiments show that the Bayesian network can deal with the uncertainty ofthe data, it gives an intuitive, accurate information, and its convenient, flexiblefeatures, also give us more possible in dealing with uncertainty and informationintegration.