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Research And Application Of Smart Home System Client On IOS Platform

Posted on:2017-01-30Degree:MasterType:Thesis
Country:ChinaCandidate:T T QiFull Text:PDF
GTID:2348330518495681Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet technology and extensive research on artificial intelligence,social intelligence has become an inevitable trend of the times.The development and application of smart homes is an inevitable product response to social intelligent development and Internet plus,this is also the main reason for its rapid development.With advances in smart home industry,the demand for personalized,real?time and intelligent of smart homes is increasing.Make the terminal display match equipments of different families.Enhanced real time synchronization when the client and panel cooperative control smart homes.Mining user behavior in the background of big data will make the smart home system more automated and intelligent.All of these will be the integral part of the development of smart homes.In this paper,target iOS system as the platform,design and implement a smart home client system,control home equipments and monitor environmental parameters by iOS terminal.Make the home list changed according to the actual situation of the family,to further improve the simplicity,standardized,modular and personalized experience of the smart home system.For multi terminal cooperative control,real-time synchronizing the home state.Analyzing user behavior and mining behavior relationship based on users,data to generate preference scenarios and recommend to people.To achieve this demand we use the improved Apriori association rules algorithm to further improve the intelligent home system and intelligent experience.The main research contents of this paper are as follows:1.The mining principle and process of Apriori algorithm is studied in this paper and shortcomings of the Apriori algorithm are analyzed in depth.This paper improves and optimizes the Apriori algorithm aiming at the deficiency of Apriori and the limitation of mobile platform.Finally,the algorithm is implemented on the mobile platform,the comparison results show that the improved algorithm is more efficient and could be used in the system to recommend the preference scenarios.2.The smart home client system is realized in iOS platform and the control of household equipment and the detection of environmental parameters are realized by controlling the terminal.Configuring and sharing the profile with the home gateway,the personalized customization of the home list is realized.According to the situation of multi terminal cooperative control,the block instruction control and monitor state response are used to share the household status in real time,so that each user accurately grasp the real-time information.
Keywords/Search Tags:Smart home, iOS, Apriori algorithm, Scene mode recommendation
PDF Full Text Request
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