大数据时代的智能家居产品设计研究

发布时间：2018-05-19 15:08

本文选题：大数据 + 智能家居　；参考：《安徽工程大学》2017年硕士论文

【摘要】：伴随着科技的发展与进步,以数据技术为支撑的智能化生活也开始融入人们的日常生活。人们开始更加注重家居生活的品质,对生活质量提出了更高的要求,特别是在舒适性、效率性、安全性方等面。大数据时代下的智能家居与以往智能产品有着明显的区别,这主要体现在产品的智能化与系统化上,不仅仅是产品本身的功能,更是在于用户体验,交互方式等等方面的。本文从研究国内外智能家居以及大数据的发展现状入手,分析出目前国内智能家居产业不牢靠,终端产品竞争力较弱,提出大数据时代下的智能家居产品是适应智能家居市场发展需要,带动智能家居产品的升级,为人们带来更加舒适、高效、安全的家居生活环境,并且结合大数据在用户分析方面的应用,从用户层面上去探索用户需求、用户体验等几个方面。分析了基于大数据技术下智能家居市场的发展情况,首先综述了智能家居基本概念,然后分析了目前智能家居市场情况和大数据在智能家居产品中的应用情况,通过探究目前市场上的几款智能家居产品的优点与缺点,以及目前智能家居现有平台,分析出智能家居产品存在的问题。然后提出了智能家居需要建立统一平台和更有效的利用好大数据技术的发展趋势。结合目前智能家居产品存在的现有问题,分析归纳总结出大数据时代下智能家居产品的设计原则与方法。提出大数据时代下智能家居产品设计应该注重产品的实用性、安全性、拓展性、经济性、人性化、易用性的设计原则,并且联系实际得出在智能家居产品设计中应该注重用户分析、平台化、模块化、设计一致性的设计方法。最后以实际生活为背景,从用户实际需求出发,设计一款智能冰箱。设计过程中针对目标用户进行分析以及相关市场调查,综合分析出用户需求,然后将用户需求转换为产品功能,从大数据信息展示的层面,重点表述了智能冰箱中大数据的应用,结合产品设计的美学要素设计出一款符合本文观点的智能冰箱。智能家居产品的发展具有良好的市场前景,在智能家居产品的设计中,注重智能家居平台的建设,用户体验设计、增强智能家居产品之间的数据互联、优化交互方式及跨界合作,力求为人们创造更好的智能家居生活环境。
[Abstract]:With the development and progress of science and technology, the intelligent life supported by data technology also begins to integrate into people's daily life. People began to pay more attention to the quality of home life, put forward higher requirements for the quality of life, especially in comfort, efficiency, safety and other aspects. The smart home in the era of big data is obviously different from the intelligent product in the past, which is mainly reflected in the intellectualization and systematization of the product, not only the function of the product itself, but also the user experience, the way of interaction and so on. Based on the research of the domestic and foreign smart home and the development of big data, this paper analyzes that the domestic smart home industry is not reliable, and the competitiveness of the terminal products is weak. It is pointed out that the smart home products in the era of big data adapt to the needs of the development of the smart home market, promote the upgrading of the smart home products, and bring people a more comfortable, efficient and safe living environment at home. Combined with the application of big data in user analysis, the user needs and user experience are explored from the user level. This paper analyzes the development of smart home market based on big data technology, firstly summarizes the basic concept of smart home, then analyzes the current situation of smart home market and the application of big data in smart home products. By exploring the advantages and disadvantages of several smart home products in the market at present, as well as the existing platforms of intelligent home, the problems of smart home products are analyzed. Then it points out that smart home needs to establish a unified platform and make better use of big data technology. According to the existing problems of smart home products at present, the design principles and methods of smart home products in big data era are analyzed and summarized. It is pointed out that in the era of big data, the design of smart home products should pay attention to the design principles of practicability, safety, expansibility, economy, humanization and ease of use. The design method of user analysis, platform, modularization and design consistency should be emphasized in smart home product design. In the end, an intelligent refrigerator is designed based on the actual needs of the users. In the design process, the target users are analyzed and the relevant market surveys are carried out, and then the user needs are comprehensively analyzed, and then the user requirements are converted into the product functions, and the level of big data information display is discussed. The application of big data in intelligent refrigerator is described emphatically, and an intelligent refrigerator is designed according with the aesthetic elements of product design. The development of smart home products has a good market prospect. In the design of smart home products, attention should be paid to the construction of smart home platform, the design of user experience, and the enhancement of data interconnection between smart home products. Optimize interaction and cross-boundary cooperation to create a better living environment for people in smart home.
【学位授予单位】：安徽工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU855

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