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Research On Smart Home System And Behavior Prediction Algorithm Based On Power Carrier Wave

Posted on:2017-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:S SongFull Text:PDF
GTID:2272330503960726Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the development of the Internet of things technology, Smart Home arises at the historic moment, more and more Smart Home products appeared in front of consumers, but there are some common on these products generally: the high cost, signal transmission is not stable, need rewiring is more complex, low degree of intelligence.This paper aimed at the problems of the existing Smart Home, on the basis of design and implement a set of Smart Home system scheme based on electric power carrier, and on the basis of the hardware platform implements aresearch of the person’s behavior prediction. This paper studies the Smart Home prediction algorithm based on electric power carrier, a total of three parts, respectively is behavior data acquisition part, behaviordata storage partand behavior prediction algorithmpart.Behavior data acquisition part is wired signal transmission system based on electric power carrier, use KQ330 power carrier module with STC89C52 series single chip microcomputer integrated electric power carrier signal acquisition module, in the case of don’t need to wiring, through the household 220 v power line signal transmission, implementation of household appliances state signals that the behavior of the data collection, signal transmission is stable and reliable in the process, and reduces the overall cost of development.Behavior data store partly by the Oracle database storage capacity, design the corresponding database system, the history of the user action in time for the node and is characterized by scene into different samples stored in different tables, as a prediction system of the training sample.Behavior prediction algorithm partly is on the basis of LZ78 data compression algorithm, for this system are derived from the front to after learning to prediction algorithm.To the learning algorithm is to a large number of data about the history of behavior study and generate the dictionary, and then to the prediction algorithm is by looking up a dictionary middle term frequency and calculating the weighted probability to achieve the forecast the next action of people, thus verified the feasibility and efficiency of the algorithm.To sum up, this system not only through the existing power carrier to reduce the transport cost, solve the rewiring difficult, the problem of the signal transmission, and through the intelligent prediction algorithm to achieve the forecast the behavior of people, reduce the labor, improve the degree of Smart Home systems, household life bring great convenience to users.
Keywords/Search Tags:Smart Home, electric power carrier, Oracle database, Behaviorprediction algorithm
PDF Full Text Request
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