智能家居综合实验平台设计研究与应用实践

Design Research and Application Practice of Integrated Experimental Platform for Smart Home

中文关键词: 智能家居  实验平台  设计研究  应用实践

英文关键词: s on Human Factors in Computing Systems. Portland OR USA. New York:ACM, 2005.

中文摘要:

      目的 梳理和分析智能家居相关实验平台现状，探究智能家居综合实验平台的设计研究方法，对平台的构建展开应用实践。方法 以智能家居理论框架为基础，从传感器网络、数据、场景、被试等多个角度出发，对智能家居综合实验平台的设计方法和应用实践进行阐释。结果 提出智能家居综合实验平台中围绕“感知”“思考”“执行”3个层面的理论框架、应用实践研究方法和实践案例。结论 智能家居综合实验平台的理论构架对于智能家居领域的科研问题具有一定的理论影响力，3个层次在建设时相互独立，在理论中相互印证，在实践中相互支撑。建立智能家居综合实验平台，可以为智能家居及其相关领域的科研和产业问题提供实验场地、关键数据、核心算法等支撑，使相关研究可以在更完备、更集成及鲁棒性更强的框架下展开。智能家居综合实验平台的研究和实践整合了现有知识体系，从顶层设计、传感网络、数据研究、算法模型、用户研究、人机交互等多学科多领域交叉的角度为学术界和产业界提供参考，全面地推动智能家居领域的技术进步和设计创新。

英文摘要:

      The paper aims to order and analyze the current situation of the existing smart home experiment platforms, explore the design and research methods of the integrated experiment platform for smart home, and carry out the application practice on the construction of platform. Based on the theoretical framework of the smart home, the design method and application practice of integrated experiment platform for smart home are explained from multiple perspectives, such as sensor network, data, scenario, and subject. Focusing on the three levels of "perception", "thinking" and "implementation" in the integrated experiment platform for smart home, the theoretical framework, application practice & research methods, and practical cases are proposed. The proposed theoretical framework of an integrated experiment platform for smart home has theoretical influence for research problems in the related field. These 3 levels are configured independently, and they corroborate theoretically and support each other in practice. The platform can provide experimental space, essential data, core algorithms, and other support for research and industrial problems in the field of smart home and its related fields, so that the platform can carry out relevant research under a more complete, integrated, and robust framework. The research and practice of the experiment platform combines the existing knowledge system and provides references for academia and industrial circles, including but not limited to top-level design, sensing networks, data studies, algorithm modeling, user studies, human-machine interaction, and other dimensions, which can comprehensively advance technological progress and design innovation in the field of the smart home.