MRI: Development of the Intelligent River (R), A Basin-Scale Monitoring Instrument

MRI：流域规模监测仪器智能河流（R）的开发

• 批准号: 1541917
• 负责人: Jason Hallstrom
• 金额: $ 166.19万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-12-15 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541917&HistoricalAwards=false
• 关键词: MRI; Development; Intelligent; River; Basin

Proposal #: 11-26344PI(s): Hallstrom, Jason Edison, Gene; Geist, Robert; Goasguen, Sebastian: Post, ChristopherInstitution: Clemson University Title: MRI/Dev: Dev of the Intelligent River (R), a Basin-Scale Monitoring Instrument Project Proposed:This project, developing a river and water-resource consisting of a sensor network that forms an intelligent sensor fabric on a river basin, aims to provide real-time access to essential environmental and hydrological parameters at appropriate temporal and spatial scale for managing resources. Based on the INTELLIGENT RIVER®, this observation instrument comprises in situ sensors that form an expansive intelligent fabric. The instrument enables a new 1. Sensing Fabric: serves as the instrument lens and comprises multiple sensor networks.2. Transit and Uplink System: responsible for relaying the data from the lens to a high-performance computing backbone.3. Observation Management Middleware: responsible for normalizing data, ensuring validity, and routing the resulting data streams to end users applications4. Repository and Presentation Services: serves as an instrument eyepiece and comprises an extensible set of applications.The design of the goals in 1 include broad support for interconnect standards, support for high-fidelity sensing, scalable temporal and spatial coverage, rapid and reliable deployment, and system longevity. In 2, these goals include adaptability to diverse environments, coverage scalability, fault-tolerant data transport, and low cost operating expense. Scalability, real-time performance, and fault-tolerant, secure messaging are included in 3. The default instrument package in 4 includes an application for archiving observation data to common scientific data formats and presenting that data to a broad audience of end-users, including scientists, educators, ecosystem managers, and legislative policy makers.It is evident that the growing mismatch between water supply and demand impacts us all: USA watersheds are in peril! This project does something about it with support from EPA and USAGE. Within the reach of environmental science, this work explores the connections among land use, energy production, climate effects, and water resources applying information and computing systems. The design, construction, and deployment of the instrument along the full reach of the Savanna River and two adjacent watersheds, covering a broad range of physical and chemical parameters should yield significant research contributions applicable to other watersheds and across subdisciplines, from sensor networking, to operating system design to cloud computing, to high performance ecosystem visualization. When complete, the instrument should enable a new class of data-intensive environmental ecological programs, ranging from fine-scale studies of river transport phenomenon to assessments of hydroelectric impacts on greenhouse gas concentrations, as well as the validation of kinetic-based quality models. Moreover, the instrument should yield significant research contributions in the areas of sensor networking, operating system, cloud computing, and high-performance ecosystem visualization.Broader Impacts: The impact should be felt both regionally and nationally. At the national level, the instrument should initiate a transformative shift towards real-time management. At the local level the instrument will contribute to initiate two new degree programs, creating collaborative ties with other institutions, and serve as an outreach hub that links regional high schools and museums.

提案编号：11-26344PI(s)：Hallstrom、Jason Edison、Gene；Goasguen、Sebastian：Post、Christopher 机构：克莱姆森大学 标题：MRI/Dev：智能河流 (R) 的开发，流域规模拟议监测仪器项目：该项目开发由传感器网络组成的河流和水资源，在流域上形成智能传感器结构，旨在提供实时访问该观测仪器以 INTELLIGENT RIVER® 为基础，由形成扩展智能结构的现场传感器组成，可实现重要的新功能：1. 传感结构：作为管理仪器。 2. 传输和上行系统：负责将数据从镜头转发到高性能计算骨干网。3. 观测管理中间件：负责标准化数据、确保有效性并路由结果数据流。到最终用户应用程序 4. 存储库和演示服务：充当仪器目镜并包含一组可扩展的应用程序。 1 中目标的设计包括对互连标准的广泛支持、对高保真感测的支持、可扩展的时间和空间覆盖范围， 2、这些目标包括对不同环境的适应性、覆盖范围的可扩展性、容错的数据传输以及低成本的运营费用、实时性能以及容错、安全的消息传递。包含在3. 4 中的默认仪器包包括一个应用程序，用于将观测数据存档为通用科学数据格式，并将该数据呈现给广大最终用户，包括科学家、教育工作者、生态系统管理者和立法政策制定者。很明显，供水与需求之间日益严重的不匹配影响着我们所有人：美国流域正面临危险！该项目在环境科学的支持下对此做了一些工作，探讨了土地利用、能源生产、气候影响、水应用信息和计算系统的资源，沿着萨凡纳河和两个相邻流域的整个河段设计、建造和部署该仪器，涵盖广泛的物理和化学参数，应该会产生适用于其他流域和跨流域的重大研究贡献。子学科，从传感器网络到操作系统设计到云计算，再到高性能生态系统可视化。完成后，该仪器将支持新型数据密集型环境生态项目，从河流运输现象的精细研究到评估。水力发电对温室气体浓度的影响，此外，该仪器应在传感器网络、操作系统、云计算和高性能生态系统可视化领域做出重大研究贡献。更广泛的影响：双方都应该感受到这种影响。在区域和国家层面，该工具应启动向实时管理的变革性转变。在地方层面，该工具将为两个新的学位项目做出贡献，与其他机构建立合作关系，并作为一个外展中心连接地区高中和博物馆。