课题基金 / 基金详情

PFI-TT: Developing a Configurable Real-time High-speed Wireless Communication Platform for Large-scale Industrial Control Systems

PFI-TT: Developing a Configurable Real-time High-speed Wireless Communication Platform for Large-scale Industrial Control Systems
PFI-TT:为大型工业控制系统开发可配置的实时高速无线通信平台
批准号:
1919229
负责人:
Song Han
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2022-08-31

项目摘要

项目成果

Song Han的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to enable the process industries to fully embrace the concept of Industry 4.0 and revamp their manufacturing plants as smart factories, where intelligent sensing and field devices are pervasively deployed and wirelessly connected in the field to provide real-time high-speed process monitoring, diagnosis and control. This paves the way for a better understanding of the manufacturing process, thereby enabling efficient and sustainable production. The commercial availability of low-cost, real-time and high-speed wireless technology will enable a wide range of new applications benefiting society in many ways. Just as ordinary WiFi technology has transformed the landscape of wireless communication for business use, our new real-time version of WiFi will enable industrial applications such as advanced process control and manufacturing, assistive tele-robotics, high-bandwidth health monitoring, autonomous vehicle safety assurance, and others. This PFI-TT project will also enable a comprehensive training program for future leaders in innovation and entrepreneurship to develop their ability to conduct innovative research projects as well as effective communication and entrepreneurial skills, and thus have significant educational and societal impacts.The proposed project will address the drawbacks of existing wireless communication networks, which are not equipped with providing either deterministic or high-speed real-time communication for large-scale industrial sensing and control systems. The proposed RT-WiFi protocol will 1) support up to 6kHz sampling rates that is sufficient for most industrial wireless applications, which require highly predictable performance; 2) offer the capability for extending to multi-cluster settings to cover large factories; 3) provide extremely high reliability through dynamic and distributed packet scheduling for autonomous adaptation to the noisy factory environment; and 4) tolerate any single point hardware/software failures with robust gateway design. It is envisioned that upon the successful completion of this project, a full-blown RT-WiFi communication system can be developed to support a large number of reliable and dynamic real-time flows in large-scale high-speed industrial wireless control networks. These unique features will make RT-WiFi an ideal communication infrastructure to support not only advanced process control systems, but also other fast growing industry segments in robotics, autonomous vehicles and high-speed mechanical processes.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(2)
专著(0)
科研奖励(0)
会议论文
Demo Abstract: Open RT-WiFi Platform on Software-Defined Radio
演示摘要:基于软件定义无线电的开放 RT-WiFi 平台
DOI: 10.1109/rtas54340.2022.00038
发表时间: 2022
期刊: the 28th IEEE Real-Time and Embedded Technology and Applications Symposium
影响因子: --
作者: [Yun, Zelin, Wu, Peng, Zhou, Shengli, Mok, Aloysius K., Nixon, Mark, Han, Song]
通讯作者: Han, Song
RT-WiFi on Software-Defined Radio: Design and Implementation
软件定义无线电上的 RT-WiFi:设计与实现
DOI: 10.1109/rtas54340.2022.00028
发表时间: 2022
期刊: the 28th IEEE Real-Time and Embedded Technology and Applications Symposium
影响因子: --
作者: [Yun, Zelin, Wu, Peng, Zhou, Shengli, Mok, Aloysius K., Nixon, Mark, Han, Song]
通讯作者: Han, Song
Collaborative Research: SHF: Medium: Heterogeneous Architecture for Collaborative Machine Learning
Collaborative Research: PPoSS: LARGE: Principles and Infrastructure of Extreme Scale Edge Learning for Computational Screening and Surveillance for Health Care
Collaborative Research: PPoSS: Planning: S3-IoT: Design and Deployment of Scalable, Secure, and Smart Mission-Critical IoT Systems
  • 批准号:
    2028875
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.0万
  • 财政年份:
    2020
  • 负责人:
    Song Han
  • 依托单位:
Collaborative Research: PPoSS: Planning: Principles for Edge Sensing and Computing for Personalized, Precision Healthcare at National Scale
国内基金
海外基金
叶绿体蛋白 TT3.2 调控水稻耐热性的分子机制研究
  • 批准号:
    24ZR1431200
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    郭亮星
  • 依托单位:
苯并呋喃-6-酮类化合物TT01f通过调控Jagged1/Notch信号通路改善特发性肺纤维化的药理学机制研究
TT3.2通过自噬体-液泡途径调控水稻盐胁迫抗性的分子机制研究
  • 批准号:
    32301745
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2023
  • 负责人:
    张海
  • 依托单位:
基于Glypian3-TT3oB新型聚集诱导发光复合体的NIR-IIb靶向成像及cGAS-STING通路激活在肝癌精准标记并增敏免疫治疗中的研究
  • 批准号:
    LQ23H160042
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2023
  • 负责人:
    吴迪
  • 依托单位: