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The Control-method And Divice Reasearch Of Linghting System In Smart Home

Posted on:2015-10-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z L YangFull Text:PDF
GTID:2272330452965877Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Smart home as a rapid rise of new industry, it has a huge market prospects and asurprising development potential, is the most investment value of the new project in the21st century.The existing control model of the control system of smart home controller can onlyaccording to preset control rules and methods of the single "mechanical" repeatedly run inan automated way, in case the environment changes, the system will in a state of out ofcontrol, humanized service is poorer. Lighting system as part of smart home, haveimportant meanings to the overall study of smart home, based on the study of fuzzy controland neural network learning on account of the proposed has a self learning, self analysis,self prediction function of smart home lighting control mode, controlling the method basedon fuzzy mathematics theory on modeling research and designing research, realizing thesmart household lighting system to the intelligent control.Intelligent household lighting system for as the background of the research object,employing to the multi-sensor data fusion technology, the characteristics of the layer ofsensor fusion, using real-time data, analysising the data processing, under the certain rulesfor controlled object characteristics of data consistency, to have done the controlling task.Lighting controlling system’s overall framework is made of the construction, on the basis ofthe characteristics of intelligent household indoor, making light environment analysis andscenes setting. Fuzzy controlling and neural network controlling technology of lightingsystem control algorithm is studied, and the algorithms have been deduced formula, usingneural network self-learning ability of the light environment for training the sample data,fuzzy control reasoning system to adjust the parameters of fuzzy rules and membershipfunctions, ultimately decides to the Mamdani inference based on BP neural networkcontrolling method, and builing the fuzzy-neural network modeling and doing simulation inMatlab training, make the control system has the self study, self-diagnostic and selfpredictive functions, to carry out the intelligent of the smart home lighting systems,humanized service functions. On the basis of STM32development designing for theintelligent household lighting intelligent controlling center of research and designing, forpurpose of reduce the power consumption of the equipment and the development of design cost, wireless data collection and transmission module uses to2.4G technology as thebackground, using CC2530as main control chip to develop intelligent control node design,through the MDK code to program and simulation. Light commutation circuit, the humanbody induction circuit and metering circuit on the strength of hardware design. Softwaredesign refers to the IEEE802.15proposed by Z-stack protocol stack wirelesscommunication program design, completed the wireless light nodes and the communicationbetween the main controller, realizing the real-time multi-tasks.
Keywords/Search Tags:Intelligent Household, Lighting System, Data Fusion, FuzzyControl, Neural Network
PDF Full Text Request
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