Integrated Sensing: Virtual Sensor-Actuator Arrays

集成传感：虚拟传感器执行器阵列

• 批准号: 0225449
• 负责人: Bruce Krogh
• 金额: $ 25万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0225449&HistoricalAwards=false
• 关键词: Integrated; Sensing; Virtual; Sensor; Actuator

This project concerns the interface between application software and the real-time data in large-scale arrays of wireless sensors and actuators. The objective is to develop the theory and algorithms for creating a virtual sensor-actuator array (VSAA) that will make it possible for application algorithms to avoid dealing with the continually changing features of physical sensor-actuator arrays. Using the VSAA, application-specific software can be written as if the sensing and actuating devices are located as assumed in the application design model, and that information is received with appropriate time stamps, in addition to being filtered and integrated in a near optimal manner. This project will build on recent research in intelligent data integration for distributed systems. Raw data will be delivered and manipulated as soft decisions in the form of probability distributions. Information from multiple sources will be integrated using novel algorithms based on graphical representations of the information relationships among the sources, and information-theoretic techniques will be developed for sharing and moving the computations among the nodes so that performance does not degrade significantly in the face of intermittent communication and node failures. The algorithms developed in this project will be evaluated for intelligent building control applications using in a wireless sensor-actuator array in the Intelligent Workplace, an existing experimental facility at Carnegie Mellon University.

本项目涉及大规模无线传感器和执行器阵列中应用软件与实时数据的接口问题。其目的是开发用于创建虚拟传感器-执行器阵列(VSAA)的理论和算法，使应用算法能够避免处理物理传感器-执行器阵列的不断变化的特征。使用VSAA，可以编写特定于应用程序的软件，就像在应用程序设计模型中假设的那样定位传感和执行设备，并且除了以近乎最佳的方式进行过滤和集成之外，还可以利用适当的时间戳来接收信息。该项目将建立在分布式系统智能数据集成的最新研究基础上。原始数据将以概率分布的形式作为软决策提供和处理。将使用基于源之间信息关系的图形表示的新算法来集成来自多个源的信息，并将开发信息论技术以在节点之间共享和移动计算，以便在面临间歇性通信和节点故障时不会显著降低性能。本项目开发的算法将用于智能工作场所中的无线传感器-执行器阵列，这是卡内基梅隆大学现有的实验设施，将对智能建筑控制应用进行评估。