CPS: Medium: Collaborative Research: Building Information, Inhabitant, Interaction and Intelligent Integrated Modeling (BI5M)
CPS:中:协作研究:建筑信息、居民、交互和智能集成建模(BI5M)
基本信息
- 批准号:1837022
- 负责人:
- 金额:$ 24万
- 依托单位:
- 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:2018-10-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Each year the nation spends over $400 billion to power, heat and cool its buildings. Moreover, buildings are a major source of environmental emissions. As a result, even a modest improvement in energy efficiency of the nation's building stock would result in substantial economic and environmental benefits. In this project, the focus is on improving energy efficiency in commercial buildings because this sector represents a substantial portion of the energy usage and costs within the overall building sector. Enhancing the energy efficiency of commercial buildings is a challenging problem, due to the fact that centralized building systems -- such as heating, ventilation and air conditioning (HVAC), or lighting -- must be synthesized and integrated with individual inhabitant behavior and energy consumption patterns. This project aims to design, analyze, and test a cyber-physical and human-in-the-loop enabled control system that can drive sustained energy savings in commercial buildings. It brings together expertise in computational building science, eco-feedback, network theory, data science, and control systems to integrate physical building information and inhabitants with cyber (building-human) interaction models to enable intelligent control of commercial building systems. Specifically, this project will: 1) design an integrated cyber-physical system (CPS), called Building Information, Inhabitant, Interaction, Intelligent Integrated Modeling (BI5M), aimed at reducing energy usage in buildings; 2) assess the complex inter-relationships between and across physical building and inhabitant models, cyber building-human interaction and intelligent control models related to energy conservation behavior; and 3) empirically test and validate modules and the overall BI5M system at test-bed buildings on Stanford's campus and Google's office park.This research incorporates measurement (geospatial building data, energy use data), dynamics (inhabitant social networks), and control (enhanced user control of: plug-load devices, HVAC, lighting) into the BI5M system. The BI5M system is centered on a cyber Building Information Management (BIM) model of the building, and will encompass rigorous systems engineering that will explore relationships across the cyber-physical domains and develop new insights for how the scientific principles of cyber-physical systems can be used to influence the energy efficiency of commercial buildings through both occupant behavior and intelligent control. By integrating physical building information and inhabitants with cyber interaction modeling, the research aims to introduce an integrated human-in-the-loop control paradigm for commercial buildings. In addition to a testbed and validated CPS system for commercial buildings (BI5M), this project targets fundamental knowledge on: ontological components required to integrate dynamic data streams and control information into static building models; complex socio-spatial structures of inhabitants; insights into how building-human and human-human interactions impact inhabitant consumption behavior; and new control models that leverage input on the energy usage, spatial, social and behavior dynamics of inhabitants. The educational impacts of this project will extend to participants (students, faculty, Google employees in the test-bed buildings), as well as a broader student population through the integration of key insights from this work into courses/projects at all three collaborating universities (Stanford, Georgia Tech, and Columbia). The project team will also disseminate results to practitioners/policy-makers working in the building management space through an Outreach Workshop. Additionally, this project will broaden participation in computing fields through a diverse team and by partnering with the Girls Who Code nonprofit to integrate project data sets and tools into their activities.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.
美国每年花费超过4000亿美元用于建筑物的电力、供暖和制冷。此外,建筑物是环境排放的主要来源。因此,即使国家建筑物的能源效率略有提高,也会带来巨大的经济和环境效益。在这个项目中,重点是提高商业建筑的能源效率,因为这个部门代表了整个建筑部门能源使用和成本的很大一部分。提高商业建筑的能源效率是一个具有挑战性的问题,因为集中式建筑系统(如供暖、通风和空调(HVAC)或照明)必须与个人居民行为和能源消耗模式相结合。该项目旨在设计、分析和测试一个网络物理和人在回路的控制系统,该系统可以推动商业建筑的持续节能。它汇集了计算建筑科学,生态反馈,网络理论,数据科学和控制系统的专业知识,将物理建筑信息和居民与网络(建筑-人类)交互模型相结合,以实现商业建筑系统的智能控制。具体而言,该项目将:1)设计一个集成的信息物理系统(CPS),称为建筑信息,居民,交互,智能集成建模(BI 5 M),旨在减少建筑物中的能源使用; 2)评估物理建筑和居民模型之间的复杂相互关系,与节能行为相关的网络建筑-人的交互和智能控制模型; 3)在斯坦福大学校园和谷歌办公园区的试验台建筑中对模块和整个BI 5 M系统进行经验性测试和验证。该研究将测量(地理空间建筑数据、能源使用数据)、动态(居民社交网络)和控制(增强用户对插电负载设备、HVAC、照明的控制)融入BI 5 M系统。BI 5 M系统以建筑物的网络建筑信息管理(BIM)模型为中心,将包含严格的系统工程,将探索跨网络物理领域的关系,并为如何利用网络物理系统的科学原理通过居住者行为和智能控制来影响商业建筑的能源效率开发新的见解。本研究借由整合实体建筑物资讯及住客与电脑互动模式,提出一套适用于商业建筑物的人在回路控制模式。除了测试平台和经过验证的商业建筑CPS系统(BI 5 M)外,该项目还针对以下方面的基础知识:将动态数据流和控制信息集成到静态建筑模型中所需的本体组件;居民的复杂社会空间结构;深入了解建筑物与人以及人与人之间的互动如何影响居民的消费行为;以及新的控制模式,这些模式利用了对居民的能源使用、空间、社会和行为动态的投入。该项目的教育影响将扩展到参与者(学生,教师,测试台建筑中的Google员工),以及通过将这项工作的关键见解整合到所有三所合作大学(斯坦福大学,格鲁吉亚理工学院和哥伦比亚)的课程/项目中,更广泛的学生群体。项目小组还将通过外联讲习班向在建筑物管理领域工作的从业人员/决策者传播成果。此外,该项目还将通过多元化的团队以及与非营利组织Girls Who Code合作,将项目数据集和工具整合到他们的活动中,从而扩大计算领域的参与。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。
项目成果
期刊论文数量(15)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Low-Cost In-situ System for Continuous Multi-Person Fever Screening
用于连续多人发烧筛查的低成本原位系统
- DOI:10.1109/ipsn54338.2022.00009
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Hou, Kaiyuan;Liu, Yanchen;Wei, Peter;Yang, Chenye;Kang, Hengjiu;Xia, Stephen;Spada, Teresa;Rundle, Andrew;Jiang, Xiaofan
- 通讯作者:Jiang, Xiaofan
A modular and reconfigurable sensing and actuation platform for smarter environments and drones: demo abstract
适用于智能环境和无人机的模块化、可重新配置的传感和驱动平台:演示摘要
- DOI:10.1145/3498361.3538667
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Zhao, Minghui;Liu, Yanchen;Dhupar, Avik;Hou, Kaiyuan;Xia, Stephen;Jiang, Xiaofan
- 通讯作者:Jiang, Xiaofan
A sensorless drone-based system for mapping indoor 3D airflow gradients: demo abstract
基于无传感器无人机的系统,用于绘制室内 3D 气流梯度:演示摘要
- DOI:10.1145/3498361.3538671
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Liu, Yanchen;Zhao, Minghui;Xia, Stephen;Wu, Eugene;Jiang, Xiaofan
- 通讯作者:Jiang, Xiaofan
Human-centric data-driven optimization and recommendation in EV-interfaced grid at city scale: poster abstract
城市规模电动汽车接口网格中以人为中心的数据驱动优化和推荐:海报摘要
- DOI:10.1145/3563357.3567752
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Nie, Jingping;Hu, Lanxiang;Liu, Yian;Fan, Yuang;Preindl, Matthias;Jiang, Xiaofan
- 通讯作者:Jiang, Xiaofan
LegoSENSE: An Open and Modular Sensing Platform for Rapidly-Deployable IoT Applications
LegoSENSE:用于快速部署物联网应用的开放式模块化传感平台
- DOI:10.1145/3576842.3582369
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Zhao, Minghui;Xia, Stephen;Nie, Jingping;Hou, Kaiyuan;Dhupar, Avik;Jiang, Xiaofan
- 通讯作者:Jiang, Xiaofan
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Xiaofan Jiang其他文献
PMsub2.5/sub exposure exacerbates seizure symptoms and cognitive dysfunction by disrupting iron metabolism and the Nrf2-mediated ferroptosis pathway
PM2.5 暴露通过破坏铁代谢和 Nrf2 介导的铁死亡途径加剧癫痫发作症状和认知功能障碍
- DOI:
10.1016/j.scitotenv.2023.168578 - 发表时间:
2024-02-01 - 期刊:
- 影响因子:8.000
- 作者:
Huiya Mei;Dongqin Wu;Zenghua Yong;Yingsi Cao;Yuanjin Chang;Junjie Liang;Xiaofan Jiang;Hua Xu;Jiatao Yang;Xian Shi;Ruijin Xie;Wenjing Zhao;Yu Wu;Yueying Liu - 通讯作者:
Yueying Liu
How to improve performance of Chinese BIM-supported civil engineering projects based on the qualitative comparative analysis method
基于定性比较分析方法如何提高中国基于 BIM 的土木工程项目的绩效
- DOI:
10.1038/s41598-025-06662-x - 发表时间:
2025-07-02 - 期刊:
- 影响因子:3.900
- 作者:
Weiwei Zuo;Tingting Mei;Shuda Zhong;Xiaofan Jiang;Ning Yan - 通讯作者:
Ning Yan
Erratum to: FSIP1 enhances the therapeutic sensitivity to CDK4/6 inhibitors in triple-negative breast cancer patients by activating the Nanog pathway
- DOI:
10.1007/s11427-025-2930-3 - 发表时间:
2025-04-24 - 期刊:
- 影响因子:9.500
- 作者:
Guanglei Chen;Lisha Sun;Xi Gu;Liping Ai;Jie Yang;Zhan Zhang;Pengjie Hou;Yining Wang;Xunyan Ou;Xiaofan Jiang;Xinbo Qiao;Qingtian Ma;Nan Niu;Jinqi Xue;Hao Zhang;Yongliang Yang;Caigang Liu - 通讯作者:
Caigang Liu
Human epidermal growth factor receptor 2-positive (HER2
人表皮生长因子受体 2 阳性 (HER2
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Jiawen Bu;Yixiao Zhang;N. Niu;Kewei Bi;Lisha Sun;Xinbo Qiao;3. Yimin;Wang;Yinan Zhang;Xiaofan Jiang;Dan Wang;Qingtian Ma;Huajun Li;Caigang Liu - 通讯作者:
Caigang Liu
A Scalable System for Apportionment and Tracking of Energy Footprints in Commercial Buildings
用于分配和跟踪商业建筑能源足迹的可扩展系统
- DOI:
10.1145/3218582 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Peter Wei;Xiaoqi Chen;Jordan Vega;S. Xia;Rishikanth Chandrasekaran;Xiaofan Jiang - 通讯作者:
Xiaofan Jiang
Xiaofan Jiang的其他文献
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{{ truncateString('Xiaofan Jiang', 18)}}的其他基金
CAREER: A Scalable Occupant-Driven Energy Optimization System for Commercial Buildings
职业:商业建筑的可扩展的居住者驱动的能源优化系统
- 批准号:
1943396 - 财政年份:2020
- 资助金额:
$ 24万 - 项目类别:
Continuing Grant
CSR: Small: Collaborative Research: Overheard at Home - Mitigating Overhearing of Continuous Listening Devices
CSR:小:协作研究:在家无意中听到的声音 - 减轻连续监听设备的无意中听到的情况
- 批准号:
1815274 - 财政年份:2018
- 资助金额:
$ 24万 - 项目类别:
Standard Grant
CSR: CHS: Medium: Collaborative Research: Improving Pedestrian Safety in Urban Cities using Intelligent Wearable Systems
CSR:CHS:中:合作研究:利用智能可穿戴系统提高城市行人安全
- 批准号:
1704899 - 财政年份:2017
- 资助金额:
$ 24万 - 项目类别:
Continuing Grant
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