BD Spokes: SPOKE: WEST: Collaborative: MetroInsight: Knowledge Discovery and Real-Time Interventions from Sensory Data Flows in Urban Spaces

BD 发言：发言：WEST：协作：MetroInsight：城市空间中感知数据流的知识发现和实时干预

• 批准号: 1636879
• 负责人: Rajesh Gupta
• 金额: $ 51.78万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1636879&HistoricalAwards=false
• 关键词: BD; Spokes; SPOKE; WEST; Collaborative

The MetroInsight project is building an end to end system for knowledge discovery from real-time data streams collected through a variety of sensors, data collection and aggregation methods. These data streams are highly dimensional with multiple sensors observing same or similar phenomena over multiple sensory spectrums and scales. These are also sometimes real-time and/or have strong timing relationships that is necessary to support metropolitan infrastructure through effective analytics and policy support. The project brings together a diverse number of partners utilities, universities, companies and cities with the ability to contribute novel tools and urban sensor data and to translate knowledge into actions. MetroInsight's unique combination of tools, data and partnerships, in part with the MetroLab Network , makes it well poised to set an example for the MetroLab programs across the nation as well as the rest of the municipal governments. The project will explore connections between multimodal datasets and urban infrastructure management to build a practical system consisting of integrated tools, as well as training a new generation of metropolitan workforce. As part of an ambitious plan for community building and workforce development, the project includes creation of new learning modules, certification programs on energy and sustainability, an online courses on sensor data analytics and new capstone projects in a new Data Science master's degree program.To achieve project goals, MetroInsight is building infrastructure for managing data, networks and processing that will support design of new algorithms and tools in the project. Specifically, the project is developing algorithms to transform multimodal urban data to a lower dimensional data that reflects underlying physical and social phenomena. These low dimensional data may consist of population level data suitable for dynamic processing to support real time monitoring and visualization by cityscale operators of various lifelines from transportation, communications to emergency response. To address technical challenges in complex and subtle spatiotemporal dynamics of interdependent urban networks, MetroInsight will develop metadata methods and tools that support discovery of operational interdependencies, quantification of uncertainties for decision support and to provide assurances related to integrity and security of data, compliance related to ethical and legal privacy expectations.

MetroInsight项目正在构建一个端到端系统，通过各种传感器、数据收集和聚合方法收集实时数据流，进行知识发现。这些数据流是高度多维的，有多个传感器在多个感觉光谱和尺度上观察相同或类似的现象。这些数据有时也是实时的和/或具有很强的时序关系，这是通过有效的分析和政策支持来支持大都市基础设施所必需的。该项目汇集了众多合作伙伴，包括公用事业、大学、公司和城市，他们有能力提供新颖的工具和城市传感器数据，并将知识转化为行动。MetroInsight将工具、数据和合作伙伴关系（部分与MetroLab Network）结合在一起，为全国各地的MetroLab项目以及其他市政府树立了榜样。该项目将探索多模式数据集与城市基础设施管理之间的联系，以建立一个由综合工具组成的实用系统，并培训新一代大都市劳动力。作为一项雄心勃勃的社区建设和劳动力发展计划的一部分，该项目包括创建新的学习模块、能源和可持续性认证项目、传感器数据分析在线课程以及新的数据科学硕士学位课程的新顶点项目。为了实现项目目标，MetroInsight正在构建用于管理数据、网络和处理的基础设施，以支持项目中新算法和工具的设计。具体而言，该项目正在开发算法，将多模式城市数据转换为反映潜在物理和社会现象的较低维度数据。这些低维数据可能包括适合动态处理的人口水平数据，以支持城市规模的交通、通信和应急响应等各种生命线运营商的实时监控和可视化。为了应对相互依赖的城市网络复杂而微妙的时空动态中的技术挑战，MetroInsight将开发元数据方法和工具，以支持发现操作相互依赖性，量化决策支持的不确定性，并提供与数据完整性和安全性相关的保证，以及与道德和法律隐私期望相关的合规性。