FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
基本信息
- 批准号:2326406
- 负责人:
- 金额:$ 77.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-11-01 至 2027-10-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Future of Work at the Human-Technology Frontier - Research: Large (FW-HTF-RL) award supports research to address the critical shift towards digital transformation in the facility management industry, a sector grappling with technological and workforce changes. The industry is on the verge of adopting advanced Information and Communication Technology, Internet of Things, and Big Data paradigms, aiming to make traditional operations more data-driven to meet organizational and national energy reduction goals. These advances target multiple improvements, including occupant comfort and health, system resilience, energy performance, and operational cost reductions. The transition necessitates facility managers to adapt to increased data volumes and new forms of human-machine interaction, thereby necessitating upskilling and reskilling. The project also recognizes the skills shortage in the industry, highlighting the need for efforts from industry leaders, educators, and policymakers to prepare a workforce for the future of facility management.The technical goals of this project aim at addressing the digital transformation challenges within facility management. The first objective is to construct a digital twin ecosystem for a facility, enhancing the role of facility managers by providing them with physical and cognitive assistance. The second objective involves developing a multi-modal user interface to promote effective interaction within the digital ecosystem, allowing communication between occupants, FMs, and other stakeholders. Thirdly, the project will gauge facility managers' readiness to utilize the digital twin technology, intending to refine the technology continuously and identify any barriers to adoption. The final objective is to study the impacts of adopting this technology on facility managers, occupants, and facility owners, incorporating different perspectives to develop comprehensive solutions to the industry's challenges. Additionally, project work with industry leaders and facility managers will identify the necessary training and educational initiatives that can equip the current and future workforce with the skills required to keep pace with digital transformation. Such initiatives will involve curating curricula that are aligned with technological advancements, enhancing existing training programs, and designing new ones to fill the skills gap. Collaboration activities will also seek to inspire and attract diverse talents to the industry, thus fostering a work environment that is ready for the future of digital facility management.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.
这项“人类技术前沿工作的未来-研究:大型”(FW-HTF-RL)奖支持研究,以解决设施管理行业向数字化转型的关键转变,该行业正在努力应对技术和劳动力的变化。该行业即将采用先进的信息和通信技术,物联网和大数据范式,旨在使传统运营更加数据驱动,以满足组织和国家的节能目标。这些进步旨在实现多方面的改进,包括乘员舒适度和健康、系统弹性、能源性能和运营成本降低。这种转变需要设施管理人员适应不断增加的数据量和新形式的人机交互,从而需要提高技能和重新技能。该项目还认识到该行业的技能短缺,强调行业领导者、教育工作者和政策制定者需要努力为未来的设施管理做好准备。该项目的技术目标旨在解决设施管理中的数字化转型挑战。第一个目标是为设施构建一个数字孪生生态系统,通过为设施管理人员提供物理和认知帮助来增强他们的作用。第二个目标是开发一个多模式用户界面,以促进数字生态系统内的有效互动,允许居住者,FM和其他利益相关者之间的沟通。第三,该项目将评估设施管理人员是否准备好使用数字孪生技术,旨在不断完善该技术,并确定采用的任何障碍。最终目标是研究采用该技术对设施管理者,居住者和设施所有者的影响,结合不同的观点来制定应对行业挑战的全面解决方案。此外,与行业领导者和设施经理的项目合作将确定必要的培训和教育计划,这些计划可以为当前和未来的劳动力提供跟上数字化转型所需的技能。这些举措将涉及策划与技术进步相一致的课程,加强现有的培训计划,并设计新的课程来填补技能差距。合作活动还将寻求激励和吸引多元化人才加入该行业,从而营造一个为数字设施管理的未来做好准备的工作环境。该奖项反映了NSF的法定使命,并通过使用基金会的知识产权进行评估而被认为值得支持优点和更广泛的影响审查标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Somayeh Asadi其他文献
A graph attention network framework for generalized-horizon multi-plant solar power generation forecasting using heterogeneous data
一种基于异质数据的用于广义时间跨度多电站太阳能发电预测的图注意力网络框架
- DOI:
10.1016/j.renene.2025.122520 - 发表时间:
2025-04-15 - 期刊:
- 影响因子:9.100
- 作者:
Md Abul Hasnat;Somayeh Asadi;Negin Alemazkoor - 通讯作者:
Negin Alemazkoor
Influence of energy mix on the life cycle of an eco-neighborhood, a case study of 150 countries
- DOI:
10.1016/j.renene.2020.07.141 - 发表时间:
2020-12-01 - 期刊:
- 影响因子:
- 作者:
Modeste Kameni Nematchoua;Somayeh Asadi;Sigrid Reiter - 通讯作者:
Sigrid Reiter
Proposing a Computational Modeling Framework for Generating Masonry Wall Units, Enhancing the Information Within a BIM
提出用于生成砌体墙单元的计算建模框架,增强 BIM 中的信息
- DOI:
10.1007/s43069-024-00332-w - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Austin D. McClymonds;Somayeh Asadi;Robert M. Leicht - 通讯作者:
Robert M. Leicht
Dose reduction in HDR brachytherapy of esophageal cancer using gold and gold alloy plaques: a Monte Carlo study
使用金和金合金斑块减少食管癌 HDR 近距离放射治疗的剂量:蒙特卡罗研究
- DOI:
10.1007/s00411-020-00885-4 - 发表时间:
2021 - 期刊:
- 影响因子:1.7
- 作者:
S. Masoudi;Shokoufeh Baratian;Somayeh Asadi;F. Rasouli - 通讯作者:
F. Rasouli
Predicting the strength of polymer-modified thin-layer asphalt with fuzzy logic
- DOI:
10.1016/j.conbuildmat.2018.02.002 - 发表时间:
2018-04-30 - 期刊:
- 影响因子:
- 作者:
Ali Zehtabchi;Seyed Amir Hossein Hashemi;Somayeh Asadi - 通讯作者:
Somayeh Asadi
Somayeh Asadi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Somayeh Asadi', 18)}}的其他基金
Beginnings: Preparing Autistic Students for the AI Workforce
起点:让自闭症学生为人工智能劳动力做好准备
- 批准号:
2322555 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Cooperative Agreement
Planning: Building Community Resilience in the Food-Energy-Water and Society Nexus
规划:在粮食-能源-水和社会关系中建立社区复原力
- 批准号:
2225982 - 财政年份:2022
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
相似国自然基金
转HTFα对脊髓继发性损伤和微循环重建的影响
- 批准号:39970755
- 批准年份:1999
- 资助金额:13.0 万元
- 项目类别:面上项目
相似海外基金
FW-HTF-RL: Success via a Human-Assistive Wearable Technology Partnership Fostering Neurodiverse Individuals' Work Success via an Assistive Wearable Technology
FW-HTF-RL:通过人类辅助可穿戴技术合作伙伴关系取得成功通过辅助可穿戴技术促进神经多样性个体的工作成功
- 批准号:
2326270 - 财政年份:2024
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning
协作研究 [FW-HTF-RL]:通过人工智能支持的工作嵌入学习形成性反馈增强教师实践的未来
- 批准号:
2326170 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RL: Trapeze: Responsible AI-assisted Talent Acquisition for HR Specialists
合作研究:FW-HTF-RL:Trapeze:负责任的人工智能辅助人力资源专家人才获取
- 批准号:
2326193 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
- 批准号:
2326407 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: Future of Digital Facility Management (Future of DFM)
FW-HTF-RL/协作研究:数字设施管理的未来(DFM 的未来)
- 批准号:
2326408 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RL: Understanding the Ethics, Development, Design, and Integration of Interactive Artificial Intelligence Teammates in Future Mental Health Work
合作研究:FW-HTF-RL:了解未来心理健康工作中交互式人工智能队友的伦理、开发、设计和整合
- 批准号:
2326146 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
Collaborative Research [FW-HTF-RL]: Enhancing the Future of Teacher Practice via AI-enabled Formative Feedback for Job-Embedded Learning
协作研究 [FW-HTF-RL]:通过人工智能支持的工作嵌入学习形成性反馈增强教师实践的未来
- 批准号:
2326169 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: The Future of Aviation Inspection: Artificial Intelligence and Mixed Reality as Agents of Transformation
FW-HTF-RL/合作研究:航空检查的未来:人工智能和混合现实作为转型的推动者
- 批准号:
2326186 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
FW-HTF-RL/Collaborative Research: The Future of Aviation Inspection: Artificial Intelligence and Mixed Reality as Agents of Transformation
FW-HTF-RL/合作研究:航空检查的未来:人工智能和混合现实作为转型的推动者
- 批准号:
2326187 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant
Collaborative Research: FW-HTF-RL: Trapeze: Responsible AI-assisted Talent Acquisition for HR Specialists
合作研究:FW-HTF-RL:Trapeze:负责任的人工智能辅助人力资源专家人才获取
- 批准号:
2326194 - 财政年份:2023
- 资助金额:
$ 77.54万 - 项目类别:
Standard Grant