I-Corps: Real-time In-situ Subsurface Imaging

I-Corps:实时原位地下成像

基本信息

项目摘要

The present subsurface imaging process involves massive data collection, often manual retrieval, from hundreds and thousands of sensors to a central place for post computing. The whole process is expensive and often takes months to complete. This I-Corps team creates a groundbreaking technology, Real-time In-situ Subsurface Imaging (RISI), for imaging subsurface dynamics in real-time (e.g., seconds to minutes). A RISI system can be said as a "subsurface camera and video camera" that records the subsurface dynamics in a snap - a technology milestone and invention to be written in the history. Such a technology can be applied to a wide range of subsurface exploration topics such as oil/gas exploration and production, hydrothermal, CO2 storage, mining safety, border security and civil engineering applications.The RISI technology is a groundbreaking technology that integrates interdisciplinary innovations on distributed computing and signal processing, geophysical imaging and mesh networking technology. Instead of collecting data to a central server for post-processing, the distributed data processing and computing are performed in-situ under resource constraints. Such an approach has never been attempted before and represents a major achievement for both earth and computer science. In sharp contrast to present-time technology, the RISI system significantly reduces the whole process from months/days to seconds, and its deployment and maintenance costs are near zero, as a RISI system is autonomous, self-healing and self-sustainable, and requires little intervention during operations. The I-Corps program will provide insight through customer interviews of the viability of the RISI technology in the marketplace, information regarding desired instrument design attributes, funds for technology development, and a transition plan for commercializing the technology. It will be a great education and outreach experiences for faculty and students involved, and promote the entrepreneurship in the GSU and the broader technical community of Atlanta.
目前的地下成像过程涉及大量数据收集(通常是手动检索),从成百上千个传感器到后期计算的中心位置。整个过程成本高昂,通常需要数月才能完成。 I-Corps 团队创建了一项突破性技术,即实时原位地下成像 (RISI),用于实时(例如,几秒到几分钟)对地下动态进行成像。 RISI系统可以说是一种“地下相机和摄像机”,可以瞬间记录地下动态——这是一项载入史册的技术里程碑和发明。该技术可广泛应用于地下勘探领域,如石油/天然气勘探和生产、热液、二氧化碳封存、采矿安全、边境安全和土木工程应用。RISI技术是一项突破性技术,融合了跨学科创新分布式计算和信号处理、地球物理成像和网状网络技术。分布式数据处理和计算不是在资源限制下就地进行,而是将数据收集到中央服务器进行后处理。这种方法以前从未尝试过,代表了地球科学和计算机科学的一项重大成就。与现有技术形成鲜明对比的是,RISI系统将整个过程从数月/天显着缩短为数秒,并且其部署和维护成本接近于零,因为RISI系统具有自主性、自愈性和自我可持续性,并且操作过程中几乎不需要干预。 I-Corps 计划将通过客户访谈提供有关 RISI 技术在市场上的可行性的见解、有关所需仪器设计属性的信息、技术开发资金以及技术商业化的过渡计划。对于参与其中的教师和学生来说,这将是一次很好的教育和推广经历,并促进 GSU 和亚特兰大更广泛的技术社区的创业精神。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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WenZhan Song其他文献

Network Phenotyping for Network Traffic Classification and Anomaly Detection
用于网络流量分类和异常检测的网络表型
  • DOI:
    10.1109/ths.2018.8574178
  • 发表时间:
    2018-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Minhui Zou;Chengliang Wang;Fangyu Li;WenZhan Song
  • 通讯作者:
    WenZhan Song
Actuation technologies for magnetically guided catheters
磁导导管驱动技术

WenZhan Song的其他文献

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{{ truncateString('WenZhan Song', 18)}}的其他基金

Collaborative Research: OAC Core: Zero-trust and Traceable Data Infrastructure for Health IoT Data Storage and Sharing
合作研究:OAC Core:用于健康物联网数据存储和共享的零信任和可追溯的数据基础设施
  • 批准号:
    2312974
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Medium: Cyber-threat Detection and Diagnosis in Multistage Manufacturing Systems through Cyber and Physical Data Analytics
协作研究:SaTC:核心:中:通过网络和物理数据分析进行多级制造系统中的网络威胁检测和诊断
  • 批准号:
    2019311
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability
Cyber​​SEES:类型 2:协作研究:用于地下可持续性的实时环境噪声地震成像
  • 批准号:
    1663709
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CyberSEES: Type 2: Collaborative Research: Real-time Ambient Noise Seismic Imaging for Subsurface Sustainability
Cyber​​SEES:类型 2:协作研究:用于地下可持续性的实时环境噪声地震成像
  • 批准号:
    1442630
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CPS:Medium:Collaborative Research:Information and Computation Hierarchy for Smart Grids
CPS:中:协作研究:智能电网的信息和计算层次结构
  • 批准号:
    1135814
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: CDI-Type II: VolcanoSRI: 4D Volcano Tomography in a Large-Scale Sensor Network
合作研究:CDI-Type II:VolcanoSRI:大规模传感器网络中的 4D 火山断层扫描
  • 批准号:
    1125165
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: Collaborative Communication and Storage for Sensor Networks in Challenging Environments
职业:具有挑战性的环境中传感器网络的协作通信和存储
  • 批准号:
    1066391
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
CAREER: Collaborative Communication and Storage for Sensor Networks in Challenging Environments
职业:具有挑战性的环境中传感器网络的协作通信和存储
  • 批准号:
    0953067
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant

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