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THE NEW INTELLIGENT HOME CONTROL SYSTEM BASED ON THE DYNAMIC AND INTELLIGENT GATEWAY Beijing Key Laboratory of Intelligent Telecommunications Software.

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Presentation on theme: "THE NEW INTELLIGENT HOME CONTROL SYSTEM BASED ON THE DYNAMIC AND INTELLIGENT GATEWAY Beijing Key Laboratory of Intelligent Telecommunications Software."— Presentation transcript:

1 THE NEW INTELLIGENT HOME CONTROL SYSTEM BASED ON THE DYNAMIC AND INTELLIGENT GATEWAY Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China Advisor: Chao-Huang Wei Student: Syue-Ming Lin

2 Outline Abstract Introduction Related work Conclusions References

3 Abstract With the emergence of the Internet of Things and improvement of humans' living standards, smart home is becoming the future criterion of home life. Smart home not only gives users a safe, healthy and comfortable living environment, but also allows users to remotely monitor their home state and control home appliances. In order to save energy and reduce the cost of smart home, there is a pressing need for a new type of intelligent home control system.

4 Introduction(1/2) With the emergence of Internet of Things, some new technologies, such as Smart Planet, Intelligent Transportation and Smart Bank are being developed. These new applications deeply seep into all aspects of humans' life and have brought many benefits to us in living and production. Smart home not only gives users a safe, healthy and comfortable living environment, but also allows users to remotely monitor their home state and control home appliances.

5 Introduction(2/2) However, in the current smart home system, the maintenance of home network needs home gateway, home network monitoring equipment and sensors in a working state of uninterrupted. Based on the analysis of the traditional advantages and disadvantages of the traditional smart home control system. This paper presents a dynamic intelligent home control system based on the new intelligent home gateway.

6 Related work With the emergence of Android Phone, the configuration of mobile terminals is becoming more and more powerful. When the user carries smart phone based on Android platform entering the house, we can use this smart phone as a temporary home gateway, it will replace and close the current home gateway at the same time. When the user carries the smart phones out, a specific device in the smart home will automatically start the default home gateway.

7 Related work In the intelligent home control system, when users enter the home network with Android Phone, the system will use Android Phone as a temporary home gateway, replace and close the original default home gateway. In this way, the default home gateway can greatly reduce the continuous working hours, while maintaining its performance and stability, as well as reduces the energy consumption throughout the life cycle. In addition, the system also uses the method based on user behavior analysis to make the home gateway intelligent.

8 Figure 1 Smart-Home system structure based on mobile gateway

9 Figure 2 Mobile embedded home gateway based on android phone

10 Related work This paper presents a solution based on friend remote control device information table. In this solution, we need to maintain a table in default home gateway's database. The table records all family members' remote control devices' information, such as IP address or phone number. The data table format is as Table 1:

11 Related work When the default home gateway is taken over by the smart phone's mobile gateway, the system will automatically send the new address information to all remote control devices it can communicate with. And at the same time, as home gateway needs to build user action mode through collecting and analyzing the users' actions during a period, we should synchronize data between home gateways.

12 Figure 3 Smart-Home system self-learning flow chart

13 Related work According to the use of the appliances, to provide better services and save more energy, we propose time and day to represent the User-patterns in Table 2.

14 Related work As shown in Figure 4, if the User-patterns and the strategy class in the database are not similar, the system will pack the User-patterns in accordance with the strategy class standard and write the class into the strategy databases.

15 Related work The system will select the appropriate strategy class from the strategy database according to today’s date. It will firstly scan all of the strategy class over the databases, then pick and choose the class with the maximum counter value, and recommend this strategy to the users. If the users do not modify this strategy, the system will adopt this strategy in Figure 5.

16 Figure 5 Recommended proces

17 Conclusions The solutions based on the dynamic and intelligent home gateway proposed in this paper are to solve the problem of energy waste faced by the intelligent home. The dynamic home gateway can effectively reduce the continuous working time of the traditional gateway. At the same time, the intelligent solution can also predict users' behavior to dynamically control the device on and off, reducing the useless working time.

18 References [1] IBM. Wisdom to lead change. http://www.ibm.com/smarterplanet/global/files/cn__zh_cn__ove rview.pdf. [2] MAN Sha,YANG Hui-xian,PENG You,WANG Xu-si.Design of embedded wireless smart home gateway based on ARM9.Journal of Computer Applications,2009,30(9),2541-2544. [3] Cui Li.The design and implementation of monitoring platform based on Android and ARM.TIME EDUCATION,2010,10,151. [4] ZHANG Ling, XU Yong-jin.Implementation of SmartHome Gateway Supporting GSM SMS. Instrumentation Technology,2011,2,42-44

19 References [5] Jose A. Iglesias, Plamen Angelov, AgapitoLedezma, Araceli Sanchis. Modelling Evolving user behaviours. Evolving and Self-Developing Intelligent Systems, 2009. ESDIS'09. IEEE Workshop on. March 30 2009-April2 2009. [6] Dorothy N. Monekosso, Paolo Remagnino. Behavior Analysis for Assisted Living. Automation Science and Engineering, IEEE Transactions on. Oct. 2010 [7] Hak Soo Kim, Jin Hyun Son. User-pattern analysis framework to predict future service in intelligent home network. Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on. 20-22 Nov. 2009 [8] Linqi Gao. Adaptive News RecommendedModel Based on User S Behaviors Analysis. LIBRARY AND INFORMATION SERVICE. 2007, 51(6)

20 Thanks for your attention!


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