IUCRC Planning Grant: Georgia Tech: Center for Digital Factory Innovations (CDFI)

IUCRC 规划拨款：佐治亚理工学院：数字工厂创新中心 (CDFI)

• 批准号: 2113821
• 负责人: Christopher Saldana
• 金额: $ 2万
• 依托单位: Georgia Tech Research Corporation
• 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: 2021-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2113821&HistoricalAwards=false
• 关键词: IUCRC; Planning; Grant; Georgia; Tech

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.

该规划拨款的目的是组织和规划建立 IUCCRC 数字工厂创新中心 (CDFI)，该资金将支持以行业为中心的研讨会，收集有关传感器、连接、自动化和企业的关键作用的意见。模型以及机器学习和大数据技术可以在美国先进制造业的转型中发挥作用，制造业物联网 (IoTfM) 能够增强数字化工厂的能力，并推动制造业的持续绩效改进。制造产品的工厂和流程与这一愿景一致，拟建中心的长期目标是通过向行业提供竞争前的基础知识来促进 IoTfM 的进步和采用，以提高产品性能、提高生产力。新罕布什尔大学 (UNH)、北卡罗来纳州立大学 (NCSU) 和佐治亚理工学院 (GT) 的合作者将共同创建这个新中心。拟议的规划会议将重点关注这一问题。在四个重点领域的关键知识差距：1）为加工、成型和机器人等流程提供集成传感器和相应的自适应、基于云的优化和控制系统的自我意识流程；2）增强人类的人工智能（AI） -网络物理系统环境中的机器协作，用于离散流程和协作机器人等应用；3）协议和互操作性，确保通信平台与时间敏感网络的无缝无线连接以及数字工厂环境中数据的安全传输；和4）自组织系统代表了组织工厂运营的另一种方式，与高度集中的方法相比，CDFI 设想了一个学术界、工业界、国家实验室和国际研究人员之间合作的论坛和一个工具。教育该工业重点领域的下一代科学家和工程师。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。