Collaborative Research: CPS: Medium: Enabling Autonomous, Persistent, and Adaptive Mobile Observational Networks Through Energy-Aware Dynamic Coverage
合作研究:CPS:中:通过能量感知动态覆盖实现自主、持久和自适应移动观测网络
基本信息
- 批准号:2223844
- 负责人:
- 金额:$ 84.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2025-09-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This research will create and validate new approaches for optimally managing mobile observational networks consisting of a renewably powered “host” agent and “satellite” agents that are deployed from and recharged by the host. Such networks can enable autonomous, long-term measurements for meteorological, climate change, reconnaissance, and surveillance applications, which are of significant national interest. While the hardware exists for such networks, the vast majority of existing mission planning and control approaches treat energy as a finite resource and focus on finite-duration missions. This research will represent a paradigm shift, wherein the energy resource available to the network is renewable, but the instantaneously available power is limited. This demands strategies that continuously trade off energy harvesting and scientific information gathering. This research will establish a comprehensive framework for managing the aforementioned tradeoffs, with both simulation-based and experimental demonstrations. The specific observational framework considered in this work will involve a fleet of solar-powered autonomous surface vessels, unoccupied aerial vehicles, and undersea gliders to for characterizing atmospheric and oceanic interactions between the deep-ocean and near-shore waters adjacent to North Carolina’s Outer Banks. The research will be complemented with targeted internship activities, K-12 outreach activities at The Engineering Place at NC State, and outreach activities with the Detroit Area Pre-College Engineering Program.Fusing autonomy, persistence, and adaptation in observational networks demands a formal characterization and tradeoff between the cyber quantity of information and physical quantity of energy. Specifically, with a renewably powered host agent, energy no longer serves as a hard constraint; instead, there exists a perpetual tradeoff between the acquisition of information and the use of available on-board energy in a stochastic environment. To address this, the research team will create: (i) a scientifically tailored dynamic coverage model for information characterization, (ii) a statistical energy resource/consumption model, and (iii) a multi-level predictive controller that adapts the mission profile based on the information/energy tradeoff. The host controller will maximize a two-part objective function consisting of a finite-horizon coverage summation and terminal incentive based on a novel quantity termed the “information value of energy.” This host controller will be complemented by a series of satellite energy-aware coverage controllers that maximize coverage subject to a safe rendezvous requirement in a stochastic resource. The research will be validated across three platforms of increasing complexity – an unoccupied aerial vehicle (UAV) network (experimental), a combined solar-powered autonomous surface vessel (ASV)/UAV network (experimental), and a combined ASV/USV/undersea glider network (simulation-driven).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.
这项研究将创建和验证新的方法,用于优化管理移动的观测网络组成的可再生能源的“主机”代理和“卫星”代理,从主机部署和充电。这种网络可以实现气象、气候变化、侦察和监视应用的自主、长期测量,这对国家利益至关重要。虽然这种网络的硬件存在,但绝大多数现有的使命规划和控制方法将能量视为有限资源,并专注于有限持续时间的任务。这项研究将代表一种范式转变,其中网络可用的能源是可再生的,但瞬时可用的功率是有限的。这就需要不断权衡能源收集和科学信息收集的战略。这项研究将建立一个全面的框架来管理上述权衡,同时进行基于模拟和实验的演示。在这项工作中考虑的具体观测框架将涉及太阳能自主水面舰艇,无人驾驶飞行器和海底滑翔机的舰队,以表征邻近北卡罗来纳州外滩的深海和近岸沃茨之间的大气和海洋相互作用。这项研究将补充有针对性的实习活动,K-12外展活动在工程的地方在NC State,并与底特律地区大学预科工程Program.Fusing自治,持久性和适应性的观测网络需要一个正式的表征和权衡之间的网络信息量和能量的物理量的外展活动。具体而言,与可再生能源供电的主机代理,能源不再作为一个硬约束,相反,存在一个永久的权衡之间的信息的获取和使用的随机环境中可用的板载能源。为了解决这个问题,研究团队将创建:(i)一个科学定制的动态覆盖模型,用于信息表征,(ii)一个统计能源/消耗模型,以及(iii)一个多层预测控制器,用于调整使命轮廓基于信息/能源权衡。主机控制器将最大限度地提高两部分的目标函数组成的有限时域覆盖求和和终端激励的基础上一个新的数量称为“信息值的能量。”该主控制器将由一系列卫星能量感知覆盖控制器补充,这些控制器根据随机资源中的安全会合要求最大化覆盖范围。该研究将在三个日益复杂的平台上进行验证-无人机网络(实验),一个太阳能自主水面舰艇(ASV)/无人机组合网络(实验),以及ASV/USV/水下滑翔机联合网络(模拟驱动)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评估被认为值得支持。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 }}
Ruoying He其他文献
Correction to: Mesoscale and submesoscale mechanisms behind asymmetric cooling and phytoplankton blooms induced by hurricanes: a comparison between an open ocean case and a continental shelf sea case
- DOI:
10.1007/s10236-020-01371-7 - 发表时间:
2020-04-20 - 期刊:
- 影响因子:1.900
- 作者:
Laura McGee;Ruoying He - 通讯作者:
Ruoying He
Nearshore wave energy resource characterization along the East Coast of the United States
- DOI:
10.1016/j.renene.2021.03.037 - 发表时间:
2021-07-01 - 期刊:
- 影响因子:
- 作者:
Seongho Ahn;Vincent S. Neary;Mohammad Nabi Allahdadi;Ruoying He - 通讯作者:
Ruoying He
Variability in along-shelf and cross-shelf circulation in the South Atlantic Bight
- DOI:
dx.doi.org/10.1016/j.csr.2017.01.006 - 发表时间:
2017 - 期刊:
- 影响因子:
- 作者:
Yeping Yuan;Renato M. Castelao;Ruoying He - 通讯作者:
Ruoying He
Development and validation of a risk prediction model for PICC-related venous thrombosis in patients with cancer: a prospective cohort study
癌症患者经外周置入中心静脉导管相关静脉血栓风险预测模型的开发与验证:一项前瞻性队列研究
- DOI:
10.1038/s41598-025-89260-1 - 发表时间:
2025-02-07 - 期刊:
- 影响因子:3.900
- 作者:
Zeyin Hu;Mengna Luo;Ruoying He;Zhenming Wu;Yuying Fan;Jia Li - 通讯作者:
Jia Li
Development and calibration of a high-resolution model for the Gulf of Mexico, Puerto Rico, and the U.S. Virgin Islands: Implication for wave energy resource characterization
- DOI:
10.1016/j.oceaneng.2021.109304 - 发表时间:
2021-09-01 - 期刊:
- 影响因子:
- 作者:
Mohammad Nabi Allahdadi;Ruoying He;Seongho Ahn;Chris Chartrand;Vincent S. Neary - 通讯作者:
Vincent S. Neary
Ruoying He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('Ruoying He', 18)}}的其他基金
Collaborative Research: RAPID: A Modeling-Based Investigation in Support of Pioneer Array Relocation Design in the Southern Mid-Atlantic Bight
合作研究:RAPID:基于建模的调查,支持南大西洋湾先锋阵列迁移设计
- 批准号:
2206052 - 财政年份:2021
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: An Observational and Modeling Study of the Physical Processes Driving Exchanges between the Shelf and the Deep Ocean At Cape Hatteras
合作研究:对驱动哈特拉斯角陆架和深海之间交换的物理过程的观测和建模研究
- 批准号:
1559178 - 财政年份:2016
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: Contribution of Prydz Bay Shelf Water to Antarctic Bottom Water Formation
合作研究:普里兹湾陆架水对南极底层水形成的贡献
- 批准号:
1443491 - 财政年份:2015
- 资助金额:
$ 84.92万 - 项目类别:
Continuing Grant
RAPID: 3-D Model Forecast of the Vertical and Horizontal Distributions of the Oil Plumes Arising From the DeepWater Horizon Spill
RAPID:深水地平线溢油产生的油羽垂直和水平分布的 3-D 模型预测
- 批准号:
1044573 - 财政年份:2010
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: Frontal Interaction and Atmospheric Forcing North of Cape Hatteras, an Analysis and Modeling Study
合作研究:锋面相互作用和哈特拉斯角以北的大气强迫,分析和建模研究
- 批准号:
0927470 - 财政年份:2009
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
相似国自然基金
Research on Quantum Field Theory without a Lagrangian Description
- 批准号:24ZR1403900
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
Cell Research
- 批准号:31224802
- 批准年份:2012
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research
- 批准号:31024804
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Cell Research (细胞研究)
- 批准号:30824808
- 批准年份:2008
- 资助金额:24.0 万元
- 项目类别:专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
相似海外基金
Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience
合作研究:CPS:NSF-JST:实现以人为本的数字孪生,提高社区复原力
- 批准号:
2420846 - 财政年份:2024
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
- 批准号:
2322534 - 财政年份:2024
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: NSF-JST: Enabling Human-Centered Digital Twins for Community Resilience
合作研究:CPS:NSF-JST:实现以人为本的数字孪生,提高社区复原力
- 批准号:
2420847 - 财政年份:2024
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Small: Risk-Aware Planning and Control for Safety-Critical Human-CPS
合作研究:CPS:小型:安全关键型人类 CPS 的风险意识规划和控制
- 批准号:
2423130 - 财政年份:2024
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Automating Complex Therapeutic Loops with Conflicts in Medical Cyber-Physical Systems
合作研究:CPS:中:自动化医疗网络物理系统中存在冲突的复杂治疗循环
- 批准号:
2322533 - 财政年份:2024
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Physics-Model-Based Neural Networks Redesign for CPS Learning and Control
合作研究:CPS:中:基于物理模型的神经网络重新设计用于 CPS 学习和控制
- 批准号:
2311084 - 财政年份:2023
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
CPS: Medium: Collaborative Research: Provably Safe and Robust Multi-Agent Reinforcement Learning with Applications in Urban Air Mobility
CPS:中:协作研究:可证明安全且鲁棒的多智能体强化学习及其在城市空中交通中的应用
- 批准号:
2312092 - 财政年份:2023
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Sensor Attack Detection and Recovery in Cyber-Physical Systems
合作研究:CPS:中:网络物理系统中的传感器攻击检测和恢复
- 批准号:
2333980 - 财政年份:2023
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: An Online Learning Framework for Socially Emerging Mixed Mobility
协作研究:CPS:媒介:社会新兴混合出行的在线学习框架
- 批准号:
2401007 - 财政年份:2023
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant
CPS: Medium: Collaborative Research: Robust Sensing and Learning for Autonomous Driving Against Perceptual Illusion
CPS:中:协作研究:针对自动驾驶对抗知觉错觉的鲁棒感知和学习
- 批准号:
2235231 - 财政年份:2023
- 资助金额:
$ 84.92万 - 项目类别:
Standard Grant