PFI-RP: A Smart Building for Enhancing Human Performance, Comfort and Health
PFI-RP: A Smart Building for Enhancing Human Performance, Comfort and Health
批准号:
1827674
负责人:
Haiying Shen
金额:
$33.74万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2022-02-28
中文摘要
该PFI项目的更广泛影响/商业潜力包括提高工人的工作表现、舒适度、健康和福祉,并为医疗保健节省数十亿美元。该项目将产生一种新的方法,在智能建筑系统中整合物理和人类行为因素,具有很高的商业化潜力。它将涉及K-12,本科生和研究生,也将用于新课程开发。我们鼓励女性和代表性不足的学生参与这个项目。该项目将为创建以人为本的智能建筑提供关键见解。研究成果将通过出版物、软件和数据发布以及向工业伙伴转让技术等方式传播。与工业伙伴的合作将使研究成果具有商业化的潜力。该项目将为启动一项新的跨学科研究计划奠定基础,该计划将对国家劳动力产生重大影响。该项目旨在建立一个以人为中心的环境感知响应智能建筑,可以提供个性化服务,以提高居住者的性能、舒适度和健康。这个项目的新颖之处在于,它除了利用物理世界的数据,还利用人类的行为,提供上下文感知的自动个性化服务,更好地满足人类的需求。这种智能建筑的独特之处在于两个方面:1)它为所有用户提供个性化的服务,而不是通用的服务;2)建筑可以自动进行情境感知调整,主动满足用户需求。该项目包括两项创新:1)基于社会的情境感知预测/响应,以及2)人类健康环境控制。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this PFI project includes enhancing the workers' performance, comfort, health and well-being and saves billions of dollars for healthcare. This project will produce a new approach to integrating physical and human behavioral factors within a smart building system that has a high potential for commercialization. It will involve K-12, undergraduate and graduate students, and also will be used for new curriculum development. Female and under-represented students will be encouraged to participate in this project. The project will provide critical insight into creating human-centered smart buildings. Research results will be disseminated through publication, software and data release and technology transfer to industrial partners. The partnership with industrial partners will make the research deliverables have potential for commercialization. This project will create the foundation to launch a new inter-disciplinary research initiative in cyber-physical systems with potential for high impact on the nation's workforce.The proposed project aims to build a human-centered context-aware responsive smart building that can provide personalized services to enhance the performance, comfort and health of occupants. The novelty of this project lies in its leveraging human behaviors in addition to the data from the physical world to provide context-aware automatic and personalized services that can better meet human needs. This smart building is unique by two features: 1) it provides personalized service rather than a universal service for all users; and 2) the building can automatically make context-aware adjustments to proactively meet user needs. This project consists of two innovations: 1) Social-based Context-aware Prediction/Response, and 2) Environmental Control for Human Health.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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