基于物联网技术的智能家居信息处理与控制系统研究

发布时间：2018-03-28 19:26

本文选题：智能家居　切入点：用户行为　出处：《华北电力大学》2014年硕士论文

【摘要】：智能家居是物联网技术在家居生活中的应用，它融合了信息采集、数据通信、数据存储、数据分析、软件设计、电器设计、节能环保等一系列的技术。最近几年，随着物联网技术的发展，人们依据物联网感知层、传输层、应用层三层结构，对智能家居技术进行了相关的研究。其中针对智能家居的感知层、传输层已有一系列的研究与应用设计，但相对缺少对应用层中用户行为分析的研究，这不能满足人们对家居生活环境越来越高的要求。因此为了智能家居向着更人性化、环保、智能的方向发展，本文提出利用数据挖掘技术对家居中用户行为进行分析，从而为智能家居控制策略的制定提供理论依据。首先，本文对智能家居的控制方式以及智能家居中常见的情景模式、用户行为进行分析。这部分工作将为智能家居用户行为挖掘算法的选择与制定指明方向。然后，，本文根据前面的相关调查分析，确定使用何种挖掘算法并进行相关验证。在这部分，首先从数据分析方法入手，确定通过数据挖掘技术对智能家居用户行为进行分析。然后探讨各种挖掘应用，并最终确定使用关联规则技术、聚类技术以及动态挖掘相关方法对智能家居用户行为进行分析。之后本文针对使用的数据挖掘技术进行深入分析。最后，本文使用现实生活中采集到的用户生活行为数据对想法进行验证，最终得出该用户的行为习惯、日常家居行为模式，为该用户的智能家居系统控制策略的制定提供了可靠的理论依据。最后，本文针对挖掘结果，设计了智能家居环境以及控制策略，根据物联网三层模型，改善了智能家居用户行为模式挖掘系统。设计了一个较为完整的基于模式挖掘的智能家居系统。这对于推动智能家居系统向着更加智能化、人性化、环保的方向发展有一定的参考价值。
[Abstract]:Smart home is the application of Internet of things technology in home life. It combines a series of technologies such as information collection, data communication, data storage, data analysis, software design, electrical design, energy saving and environmental protection. With the development of the Internet of things technology, according to the three layers of the perceptual layer, transmission layer and application layer of the Internet of things, the smart home technology has been studied. The transport layer has a series of research and application design, but the research of user behavior analysis in the application layer is relatively lacking, which can not meet the higher and higher requirements of the living environment of the home. Therefore, in order to make the intelligent home more humanized and environmentally friendly, With the development of intelligence, this paper proposes to use data mining technology to analyze the behavior of users in the home, so as to provide a theoretical basis for the formulation of intelligent home control strategy. First of all, this paper analyzes the control mode of smart home, the common scene mode and user behavior in smart home, which will point out the direction of selecting and formulating intelligent home user behavior mining algorithm. Then, according to the previous related investigation and analysis, this paper determines which mining algorithm to use and carries on the correlation verification. In this part, first of all, starting with the data analysis method, It is determined to analyze the behavior of smart home users through data mining technology, and then explore various mining applications, and finally determine the use of association rules technology, Clustering technology and dynamic mining related methods are used to analyze the behavior of smart home users. In this paper, we use the user life behavior data collected in real life to verify the idea, and finally get the user's behavior habits, daily home behavior patterns, It provides a reliable theoretical basis for the formulation of the intelligent home system control strategy. Finally, according to the mining results, this paper designs the intelligent home environment and control strategy, according to the three-layer model of the Internet of things, Improved the intelligent home user behavior pattern mining system. Designed a relatively complete intelligent home system based on pattern mining. This will promote the intelligent home system towards more intelligent and humanized. The direction of environmental protection has certain reference value.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP273;TU855

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