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Research Of Intelligent Smart Home Control System Based On BP Neural Network

Posted on:2017-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:Q Q ShiFull Text:PDF
GTID:2322330485952747Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
People's demand for quality of life is increasing with the development of science and technology and increasing of people's living standard.In recent 20 years,the development of internet industry in China has been rapidly,and People's living standard has been quality improved because of applying of internet technology in home life.Remote monitoring household environment: the intelligent smart home control system has achieved some functions such as remote real-time monitor the household,the remote control household appliances,and other functions;and it uses the way of wireless abandoning defects of the traditional wiring to make the system more easy and convenient.At present,the intelligent smart home control system has provided internet's new way of life which is smart,personalized,real-time,interaction and the new way of life can satisfy people's basic demands of new era and new life of the intelligent smart home control system.However,with the coming of “Zhi Neng Yuan Nian” in 2014,the functions of controlling the household environment of the smart home system must been touched by the way of using remote control,phone APP,intelligent controller and so on,which has limited users' time and space.Therefore,users are expecting smarter ways of controlling for smart home system.Based on users' demand of higher intelligent level of smart home control system,the idea of giving household appliances or the smart home system a "Brain" to "Think" in the field of intelligent smart home control system has caused a huge shock.Aimed at the demand of the market's higher intelligent level,the advanced intelligent algorithm—BP algorithm is introduced in this smart home control system in this paper design.The purpose of improving the intelligent degree of intelligent smart home control system has been come true by using the BP neural network self-learning ability.The convenient wireless network layout is used in this system design.The overall architecture of this system uses B/S architecture,so users can monitor the household environment at anywhere and anytime by login the web browser on terminals such as smart phone,PC and so on.S3C6410 is used as system controller in this system design.And 51 series of single chip—90C52 is used in lower computers' data collection to reduce the development cost.The indoor temperature is adjusted by air-condition;the indoor lighting is adjusted through the cooperation of LEDs and curtains;the indoor humidity is adjusted through the cooperation of the humidifier and air-condition.TCP/IP protocol which is reliable in transmission is used as this system's communication protocol,and the network programming technology of Socket is used as the system's communication technology.Finally,this system design can satisfy users' basic requirements of remote monitoring through the test of this system.At the same time,the intelligent smart home control system that BP algorithm is introduced can learn users' habits and customs and then makes a control scheme according the learned habits and customs.The control effect can meet the demands of users' habits and customs.At the same time,the goal of improving the degree of intelligent system can be achieved by introducing advanced intelligent algorithm in the intelligent smart home control system.
Keywords/Search Tags:Smart home, remote monitoring, Back-Propagation(BP) algorithm, degree of intelligent, self-learning, intelligent algorithm
PDF Full Text Request
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