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CRI:II-New: The Living Link Lab: Infrastructure for Enhancing Occupant Experience and Building Operations

CRI:II-New: The Living Link Lab: Infrastructure for Enhancing Occupant Experience and Building Operations
CRI:II-新:Living Link 实验室:增强住户体验和建筑运营的基础设施
批准号:
1823325
负责人:
Arsalan Heydarian
金额:
$75.46万
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:
2018-09-01 至 2022-08-31
关键词:

项目摘要

项目成果

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中文摘要
翻译
最近的研究表明,智能建筑应用在优化建筑效率和居住者舒适度方面具有巨大潜力。然而,这些应用程序通常是以建筑为中心的,并且对居住者和建筑环境之间的交互的正式描述有限。该研究基础设施创建了一个名为“Living Link-Lab”的新传感测试平台,该测试平台将弗吉尼亚大学(UVA)网络物理系统实验室(约17,000平方英尺)转变为人类建筑交互数据收集和实验的测试平台。通过基于居住者的可穿戴设备、交互式移动的机器人和全面的环境传感器,该研究基础设施捕获了人类与建筑物交互中的多个可变性维度,从而实现了以居住者为中心的新建筑控制技术。这些技术在试验台上原型化,然后转化到其他建筑中,以增强居住者的体验。研究基础设施将使长期的居住者行为,认知和互动在一个大的协作环境中的原位研究,它将支持来自不同背景的研究人员(例如,工程学、心理学、建筑学和医学)探索人类建筑技术前沿。这种独特的传感测试平台提供了有关环境变化、居住者行为和能源消耗的完整实时信息。该项目支持研究新技术,用于(i)增强居住者体验,(ii)能源监测,(iii)机器人移动的传感,(iv)隐私保护传感,(v)优化物联网(IoT)网络和传感器,以及(vi)人类自主协作。该测试平台还生成了一个全面的数据集,使来自各种背景的研究人员能够在新的主题上进行合作。应用驱动的成果鼓励学生通过展示研究的现实影响潜力来追求计算研究的职业道路。此外,该测试平台还加强了智能办公空间的教育,并导致正在设计的新课程利用物理测试平台和由此产生的数据流。该奖项反映了NSF的法定使命,并通过使用基金会的智力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
Recent studies have demonstrated the great potential of smart building applications to optimize building efficiency and occupant comfort. However, these applications are often building-centric and there are limited formal characterizations of the interactions between occupants and built environments. This research infrastructure creates a new sensing testbed called the "Living Link-Lab" that transforms the University of Virginia (UVA) Cyber-Physical Systems laboratory (approximately 17,000 square feet) into a testbed for human-building interaction data collection and experimentation. With occupant-based wearables, interactive mobile robots, and comprehensive environmental sensors, this research infrastructure captures several dimensions of variability in human-building interactions, enabling new occupant-focused building control techniques. These techniques are prototyped on the testbed and then translated to other buildings to enhance occupant experience. The research infrastructure will enable long-term in-situ studies of occupant behavior, cognition, and interactions in a large collaborative environment, and it will support researchers from various backgrounds (e.g., engineering, psychology, architecture, and medicine) in exploring the human-building technology frontier. This unique sensing testbed provides a complete, real-time information about environmental changes, occupant behavior, and energy consumption. The project enables research on novel techniques for (i) enhancing occupant experience, (ii) energy monitoring, (iii) robotic mobile sensing, (iv) privacy-preserving sensing, (v) optimized Internet of Things (IoT) networks and sensors, and (vi) human-autonomy collaboration. The testbed also generates a comprehensive dataset that enables researchers from a range of backgrounds to collaborate on novel topics. The application-driven outcomes encourage students to pursue a computing research career path by demonstrating the real-world impact potential of the research. Additionally, the testbed enhances education on smart office spaces and leads to new courses being designed that leverage the physical testbeds and resulting data streams.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.
期刊论文(17)
专著(0)
科研奖励(0)
会议论文
An Energy Supervisor Architecture for Energy-Harvesting Applications
用于能量收集应用的能量监控架构
DOI: 10.1109/ipsn54338.2022.00033
发表时间: 2022
期刊: 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN
影响因子: --
作者: [Saoda, Nurani, Wang, Wenpeng, Billah, Md Fazlay, Campbell, Bradford]
通讯作者: Campbell, Bradford
DOI: 10.1145/3408308.3427625
发表时间: 2020-11
期刊: Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
影响因子: --
作者: [Alan Wang;Jianyu Su;Arsalan Heydarian;Bradford Campbell;P. Beling]
通讯作者: Alan Wang;Jianyu Su;Arsalan Heydarian;Bradford Campbell;P. Beling
RetroIoT: retrofitting internet of things deployments by hiding data in battery readings
RetroIoT:通过将数据隐藏在电池读数中来改造物联网部署
DOI: 10.1145/3495243.3560536
发表时间: 2022
期刊: MobiCom '22: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
影响因子: --
作者: [Sobral, Victor Ariel, Saoda, Nurani, Shah, Ruchir, Wang, Wenpeng, Campbell, Bradford]
通讯作者: Campbell, Bradford
Low Cost Light Source Identification in Real World Settings
现实世界环境中的低成本光源识别
DOI: 10.1109/secon55815.2022.9918545
发表时间: 2022
期刊: and Networking (SECON
影响因子: --
作者: [Routh, Tushar, Saoda, Nurani, Rabbi Masum Billah, Md Fazlay, Campbell, Brad]
通讯作者: Campbell, Brad
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