PFI-RP: A Smart Building for Enhancing Human Performance, Comfort and Health

PFI-RP：提高人类表现、舒适度和健康的智能建筑

• 批准号: 1827674
• 负责人: Haiying Shen
• 金额: $ 33.74万
• 依托单位: University of Virginia Main Campus
• 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
• 起止时间: 2018-09-15 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827674&HistoricalAwards=false
• 关键词: PFI; RP; Smart; Building; Enhancing

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.

该 PFI 项目更广泛的影响/商业潜力包括提高工人的绩效、舒适度、健康和福祉，并节省数十亿美元的医疗保健费用。该项目将产生一种新方法，将物理和人类行为因素整合到具有很高商业化潜力的智能建筑系统中。它将涉及K-12、本科生和研究生，也将用于新课程的开发。将鼓励女性和代表性不足的学生参与该项目。该项目将为创建以人为本的智能建筑提供重要的见解。研究成果将通过出版、软件和数据发布以及向工业合作伙伴转让技术来传播。与工业合作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网络物理系统跨学科研究计划奠定基础，该计划可能对国家劳动力产生重大影响。拟议项目旨在建立一个以人为中心的环境感知响应式智能建筑，可以提供个性化的服务旨在提高居住者的性能、舒适度和健康的服务。该项目的新颖之处在于，除了物理世界的数据之外，它还利用人类行为来提供上下文感知的自动化和个性化服务，更好地满足人类的需求。这种智能建筑有两个独特之处：1）它为所有用户提供个性化服务，而不是通用服务； 2）建筑物可以自动进行环境感知调整，以主动满足用户需求。该项目包括两项创新：1) 基于社会的情境感知预测/响应，2) 人类健康环境控制。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的评估进行评估，认为值得支持。影响审查标准。