Collaborative Research: Development of an Autonomous Ocean Observatory Node

合作研究:自主海洋观测站节点的开发

基本信息

  • 批准号:
    2322492
  • 负责人:
  • 金额:
    $ 18.18万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

The demand for observing the ocean beyond the coastlines has led to numerous installations of sub-sea cabled observatories in the last two decades. However, many scientifically-interesting places are too far from shore, thus, are difficult for cables to reach. The vastness of the oceans calls for new technologies to enable similar infrastructure to sense deeper oceans and enhance scientific investigations in seismology, geodesy, ocean chemistry, marine biology, etc. Recently, autonomous underwater vehicles (AUVs), gliders, and seafloor robots and sensors have been utilized to observe and understand these remote ocean regions. However, the lack of supporting infrastructures for these robots and sensor networks has been the bottleneck for sustainable development. Ultimately a versatile and highly capable Autonomous Observatory Node (AON) for the deep ocean is desired to provide power recharging, data communication, and Position, Navigation, and Time (PNT) services to deep sea sensor networks and AUVs. In this project, the investigators will design and prototype a first-phase AON consisting of two subsystems: the underwater acoustic communication subsystem and the Underwater MicroGrid (UMG) subsystem. The acoustic subsystem uses a large number of transducers to receive data from seafloor sensors and AUVs and transfer their data to a surface glider which then relays the data to the Internet. The acoustic subsystem will explore the underwater Multiple-Input-Multiple-Output (MIMO) technology to provide simultaneous communication and PNT services. The UMG subsystem takes a variety of power sources as input and converts them into electrical power to support both continuous, low-power sensor loads and brief, high-current demanding loads with the acoustic subsystem. Both subsystems will take the Pressure Tolerant Electronic (PTE) approach to design their critical components for enhanced power efficiency and pressure tolerance. The prototypes will be pressure tested at 10,000 psi and ocean tested at 500 m depth. The prototype AON will be first applied to deep ocean sensing and earthquake early detection systems.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.
在过去的二十年里,观测海岸线以外海洋的需求导致了许多海底电缆观测站的安装。然而,许多科学上有趣的地方离海岸太远,因此电缆很难到达。海洋的浩瀚需要新技术来实现类似的基础设施,以感知更深的海洋,并加强地震学、大地测量学、海洋化学、海洋生物学等方面的科学调查。最近,自主水下航行器(auv)、滑翔机、海底机器人和传感器已被用于观察和了解这些偏远的海洋区域。然而,缺乏支持这些机器人和传感器网络的基础设施一直是可持续发展的瓶颈。最终,需要一个多功能和高性能的深海自主观测节点(AON),为深海传感器网络和auv提供电力充电,数据通信和位置,导航和时间(PNT)服务。在这个项目中,研究人员将设计和原型一个由两个子系统组成的第一阶段AON:水声通信子系统和水下微电网(UMG)子系统。声学子系统使用大量换能器接收来自海底传感器和auv的数据,并将数据传输到水面滑翔机,然后将数据转发到互联网。声学子系统将探索水下多输入多输出(MIMO)技术,以提供同步通信和PNT服务。UMG子系统采用各种电源作为输入,并将其转换为电能,以支持连续、低功耗的传感器负载和短时间、高电流要求的声学子系统负载。两个子系统都将采用耐压电子(PTE)方法来设计其关键部件,以提高功率效率和耐压能力。原型将在10,000 psi的压力下进行测试,并在500米的深度进行海洋测试。AON原型将首先应用于深海传感和地震早期探测系统。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识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

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Harish Krishnamoorthy其他文献

Challenges and opportunities in producing high-quality edible mushrooms from lignocellulosic biomass in a small scale
  • DOI:
    10.1007/s00253-021-11749-2
  • 发表时间:
    2022-01-31
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Venkatesh Balan;Weihang Zhu;Harish Krishnamoorthy;Driss Benhaddou;Jake Mowrer;Hasan Husain;Artin Eskandari
  • 通讯作者:
    Artin Eskandari
A comparison of computational fluid dynamics predicted initial liquid penetration using rate of injection profiles generated using two different measurement techniques
使用两种不同测量技术生成的注入曲线速率对计算流体动力学预测初始液体渗透进行比较
  • DOI:
    10.1177/1468087417746475
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Haiwen Ge;Jaclyn E. Johnson;Harish Krishnamoorthy;Seong;J. Naber;Nan Robarge;E. Kurtz
  • 通讯作者:
    E. Kurtz

Harish Krishnamoorthy的其他文献

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{{ truncateString('Harish Krishnamoorthy', 18)}}的其他基金

CAREER: Enhancing the State of Health and Performance of Electronics via in-situ Monitoring and Prediction (SHaPE-MaP) - Toward Edge Intelligence in Power Conversion
职业:通过原位监控和预测 (SHAPE-MaP) 提高电子设备的健康状况和性能 - 迈向功率转换领域的边缘智能
  • 批准号:
    2239966
  • 财政年份:
    2023
  • 资助金额:
    $ 18.18万
  • 项目类别:
    Continuing Grant

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