Research On Intelligent Monitor System For Household Environment Based On The Internet Of Things

With the rapid development of the national economy, the power ofcomputer technology, wireless communication and information techno-logy is influencing and changing people’s daily life-level. HomeFurnishing is an important component of the whole social system, withthe great changes have taken place in national life style and concept oflife, the requirements of the Home Furnishing intelligent living environ-ment is gathering.Basing on summarizing and studying the existing intelligent HomeFurnishing monitoring system and management, this paper designs theembedded monitor of household envirenment and adopts a noveltheoretical method via the combination of artificial neural network andfuzzy control theory to evaluate the comfortability of home furnishing.The topic of this paper is intelligent monitor system for householdenvironment based on The Internet of Things.Firstly, this paper expounds the theoretical basis of the Internet ofThings and centres on function demands of intelligent Home Furnishingwith the focus on the analysis of the ZigBee technology, db (database)characteristic of storage technology and serial analytical protocoltechnology, at the same time the multi sensor information fusion algori-thm is considered for the comprehensive treatment of normalization ofdifferent indoor environmental factors.Secondly, this paper introduces the overall design of householdenvironment based on The Internet of Things, puts forward the overallconstruction of the system framework，builds the embedded hardwareplatform using AT91SAM9G10as microprocessors, then describes thedesign of the sensor acquisition module and terminal application layer,and then the transplantation of Linux operating system and the functiontesting of user interactive graphical interface are completed.Finally, aiming at the features of information fusion of the indoorenvironmental factors, this paper introduces a T-S fuzzy neural networkalgorithm. The theory of fuzzy logic algorithm is apposite to human logic thinking mode, artificial neural network has the abilities ofdistributed storage, parallel computing and adaptive learning, andtherefore this paper proposes a fuzzy neural network model combiningthe advantages of two, then evaluates the db data on Indoor IntelligentHome Furnishing system which provides the theoretical basis for theimprovement of indoor environment.