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MRI: Acquisition of a Heterogeneous Networked Instrument for Aquatic Exploration and Intelligent Sampling

MRI: Acquisition of a Heterogeneous Networked Instrument for Aquatic Exploration and Intelligent Sampling
MRI:获取用于水生勘探和智能采样的异构网络仪器
批准号:
1531322
负责人:
Ryan Smith
金额:
$39.21万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2016-08-31

项目摘要

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中文摘要
翻译
该项目的目标是通过一个自动化的机器人监测系统解决四角地区与水有关的问题,该系统由多个合作和通信的自主机器人组成,作为一个综合监测系统。水生物观测和监测是理解和最终预测城市化、水储存和气候变化的长期影响的关键。有效的观测和监测需要同时测量多种水的性质,必须迅速进行测量,以捕捉空间和时间的变化。自动水上航行器提供了一种具有成本效益的,非侵入性的,可重复的近距离观察水生生态系统的方式,并以前所未有的分辨率。由于这些现代机器人具有如此惊人的能力,该项目的主要挑战是确定在何处以及何时部署机器人,以获得对我们水资源的最大了解。通过这项研究工作,研究不仅将更多地了解四角地区的水资源,而且还将开发可用于研究世界各地任何水生环境的算法和智能采样策略,例如,海洋、湖泊、河流等。水生无线传感器网络有助于更好地科学理解水生生态系统、环境监测、国防应用监视、国土安全和水产养殖,为社区提供了丰富的应用,超出了本提案中直接研究的范围。有效观察和量化水生环境中发生的时空动态过程,例如,海洋,需要同时测量不同的水的属性,这必须迅速捕捉多个同时发生的相互作用的空间和时间的变化。传统的海洋学方法无法做到这一点,这些方法涉及船只、浮标和漂流物的不经常和稀疏的测量。该研究必须采用自适应采样,机器人资产的异构团队,可以执行原位特征识别和事件响应,并准确定位,以填补理解一系列过程的重大差距:物理(例如,潮汐混合和季节性翻转),化学(例如,营养物上涌和缺氧),和生物(例如,有害藻华)。成功协调多车辆部署还需要一个强大、快速且具有成本效益的通信网络。只有当所有这些组成一个水生机器人的传感系统的部件同步运行时,科学家们才能开始提高我们对复杂水生环境的全面了解。该项目将获得和实施一个由三个互补的水上机器人组成的异构网络仪器;两个自主水面车辆和一个自主水下车辆。这些联网机器人将加强海洋机器人,网络和审议规划的研究计划,通过解决四角地区的关键水质问题来解决海洋生物学,海洋学和水生生物地球化学的基本问题。拟议的仪器采购将提供一个具有成本效益的测试平台,用于验证大规模异构机器人网络的规划和采样策略。具体而言,拟议的系统将使研究人员能够有效和具有成本效益地开发,测试和验证协调,多车辆控制算法和智能水生采样策略。
英文摘要
The goal of this project is to address water-related issues in the Four Corners Region through an automated, robotic monitoring system composed of multiple cooperating and communicating autonomous robots that serve as an integrated monitoring system. Aquatic observation and monitoring is key to understanding and ultimately predicting long-term effects of urbanization, water storage and climate change. Effective observation and monitoring requires simultaneous measurement of multiple water properties, which must be made rapidly to capture variations in both space and time. Autonomous aquatic vehicles provide a cost-effective, non-intrusive, and a repeatable way of observing aquatic ecosystems up close, and at an unprecedented resolution. With these modern robots having such amazing capabilities, the main challenge in this project is to determine where and when to deploy the robots to gain the most understanding of our water resources. Through this research effort, the research will not only learn more about water resources in the Four Corners Region, but it will additionally develop algorithms and intelligent sampling strategies that can be utilized for studying any aquatic environment around the world, e.g., oceans, lakes, rivers, etc. Aquatic wireless sensor networks are instrumental to a better scientific understanding of aquatic ecosystems, environmental monitoring, surveillance for defense applications, homeland security, and aquaculture, providing a wealth of applications to the community beyond those directly studied in this proposal.Effective observation and quantification of spatiotemporally dynamic processes occurring in aquatic environments, e.g., the ocean, requires simultaneous measurement of diverse water properties, which must be made rapidly to capture the both the spatial and temporal variability of multiple simultaneous interactions. This cannot be done by traditional oceanographic methods involving infrequent and sparse measurements from ships, buoys and drifters. The research must employ an adaptive-sampling, heterogeneous team of robotic assets that can perform in situ feature recognition and event response with accurate localization to plug a substantial gap in understanding of a range of processes: physical (e.g., tidal mixing and seasonal overturn), chemical (e.g., nutrient upwelling and hypoxia), and biological (e.g., harmful algal blooms). Successfully orchestrating a multi-vehicle, deployment additionally requires a robust, rapid and cost-effective communication network. Only when all these components, which form an aquatic robotic, sensing system, are in synchronous operation can scientists begin to improve our overall understanding of the complex aquatic environment. This project will acquire and implement a heterogeneous networked instrument composed of three complementary aquatic robots; two autonomous surface vehicles and one autonomous underwater vehicle. These networked robots will enhance a program of research in marine robotics, networking, and deliberative planning to address fundamental questions in marine biology, oceanography, and aquatic biogeochemistry by addressing critical water quality issues within the Four Corners Region. The proposed instrument acquisition will provide a cost-effective test bed for the validation of planning and sampling strategies for large-scale, heterogeneous robotic networks. Specifically, the proposed system will enable researchers to efficiently and cost-effectively develop, test and validate coordinated, multi-vehicle control algorithms and strategies for intelligent aquatic sampling.
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Collaborative Research: The role of temporally varying specific storage on confined aquifer dynamics
  • 批准号:
    2242365
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.9万
  • 财政年份:
    2024
  • 负责人:
    Ryan Smith
  • 依托单位:
海外基金