IUCRC Planning Grant: University of New Hampshire: Center for Digital Factory Innovations (CDFI)

IUCRC 规划拨款:新罕布什尔大学:数字工厂创新中心 (CDFI)

基本信息

  • 批准号:
    2113892
  • 负责人:
  • 金额:
    $ 2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-07-15 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

The objective of this planning grant is to organize and plan for the establishment of an IUCRC Center for Digital Factory Innovations (CDFI). Funding will support an industry-focused workshop to gather input regarding the critical role that sensors, connectivity, automation, and enterprise models, along with machine learning and big data technologies, can play in transforming advanced manufacturing in the US. The Internet of Things for Manufacturing (IoTfM) harvests capabilities to enable the digital factory and drives sustained performance improvements in manufacturing. Interconnected, self-aware factories and processes that manufacture products through automation and intelligent human-machine interactions are envisioned. Consistent with this vision, the proposed center’s long-term objective is to catalyze IoTfM advancement and adoption by providing pre-competitive, fundamental knowledge to industry for the purposes of improved product performance, enhanced productivity, work force development, and economic growth. Collaborators at the University of New Hampshire (UNH), North Carolina State University (NCSU), and Georgia Institute of Technology (GT) will join to create this new center. The proposed planning meeting will focus on critical knowledge gaps in four thrust areas: 1) Self-aware processes that contribute integrated sensors and accompanying adaptive, cloud-based optimization and control systems for processes such as machining, forming and robotics; 2) Augmented artificial intelligence (AI) that promotes human-machine cooperation in a cyber-physical system environment for applications such as discrete processes and cobots; 3) Protocols and interoperability that assure seamless, wireless connectivity in communication platforms with time-sensitive networks and the secure transfer of data within the digital factory environment; and 4) Self-organizing systems that represent an alternative way of organizing factory operations for increased flexibility, reconfigurability and robustness in contrast to highly centralized approaches. CDFI envisions a forum for collaborations among academic, industrial, national laboratory, and international researchers and a vehicle for educating the next generation of scientists and engineers in this industrial focus area.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.
计划赠款的目的是组织数字工厂创新的IUCRC中央(CDFI)。借助机器学习和大数据技术,可以在美国转换高级制造业,该中心的目标是通过向行业提供竞争性GE来促进IOTFM的进步和采用,以提高绩效,增强的生产力,劳动力发展和经济增长。 ,佐治亚州理工学院(GT)将加入这些新中心。 ; 2)在应用程序环境中,在应用程序和TS的网络系统环境中,人机合作; 3数字工厂环境中的数据;该工业焦点区域中的科学家和工程师的下一个工具。该奖项是NSF'Stututory of End,值得使用Toundation Eview标准来支持评估。

项目成果

期刊论文数量(0)
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Nicholas Kirsch其他文献

Nicholas Kirsch的其他文献

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{{ truncateString('Nicholas Kirsch', 18)}}的其他基金

Wireless Occupancy Detection to Improve Building Energy Efficiency
无线占用检测可提高建筑能源效率
  • 批准号:
    1336824
  • 财政年份:
    2014
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant

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