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: 1126344
• 负责人: Jason Hallstrom
• 金额: $ 303.92万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1126344&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- 26344 PI（s）：Hallstrom，Jason Edison，Gene; Geist，Robert; Goasguen，塞巴斯蒂安：Post，ChristopherInstitution：克莱姆森University Title：MRI/Dev：Dev of the Intelligent River（R），a Basin-Scale Monitoring Instrument Project Proposed：这个项目，开发一个由传感器网络组成的河流和水资源，在河流流域形成一个智能传感器结构，旨在提供在适当的时间和空间尺度上的基本环境和水文参数的实时访问，以管理资源。该观测仪器基于INTELLIGENT RIVER®，由现场传感器组成，构成了一个可扩展的智能结构。该仪器实现了新的1.传感织物：作为仪器的透镜，由多个传感器网络组成.传输和上行链路系统：负责将数据从透镜中继到高性能计算骨干。观察管理中间件：负责规范数据，确保有效性，并将结果数据流路由到最终用户应用程序4。存储库和表示服务：作为仪器目镜，包括一组可扩展的应用程序。1中的目标设计包括广泛支持互连标准，支持高保真传感，可扩展的时空覆盖，快速可靠的部署以及系统寿命。这些目标包括对不同环境的适应性、覆盖可扩展性、容错数据传输和低成本运营费用。可扩展性、实时性能和容错安全消息传递都包含在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常见的科学数据格式，并将数据呈现给广大的最终用户，包括科学家、教育工作者、生态系统管理者和立法决策者。很明显，水资源供需之间日益增长的不匹配影响着我们所有人：美国流域处于危险之中！这个项目在EPA和USAGE的支持下做了一些事情。 在环境科学的范围内，这项工作探讨了土地利用，能源生产，气候影响和水资源应用信息和计算系统之间的联系。该仪器的设计、建造和部署沿着稀树草原河和两个相邻流域的全长，涵盖了广泛的物理和化学参数，应产生适用于其他流域和跨学科的重大研究贡献，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，该工具将能够实现新一类数据密集型环境生态计划，从河流运输现象的精细研究到水电对温室气体浓度影响的评估，以及基于动力学的质量模型的验证。此外，该仪器还将在传感器网络、操作系统、云计算和高性能生态系统可视化等领域做出重要的研究贡献。更广泛的影响：该影响将在区域和国家两个层面都能感受到。在国家一级，该文书应启动向实时管理的转型。在地方一级，该工具将有助于启动两个新的学位课程，与其他机构建立合作关系，并作为联系区域高中和博物馆的外联中心。