EFRI-ARESCI: Event-Driven Sensing for Enterprise Reconfigurability and Optimization

EFRI-ARESCI：用于企业可重构性和优化的事件驱动传感

• 批准号: 0735974
• 负责人: Christos Cassandras
• 金额: $ 199.96万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-11-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0735974&HistoricalAwards=false
• 关键词: EFRI; ARESCI; Event; Driven; Sensing

PI: Christos G. CassandrasInstitution: Boston UniversityProposal Number: 0735974EFRI-ARESCI: Event-Driven Sensing for Enterprise Reconfigurability and OptimizationThis project, with investigators from Boston University and the University of Massachusetts-Amherst, seeks a fundamental understanding of reconfigurability and optimization. The modern enterprise encompasses a number of processes that are all subject to changes in operating conditions, some sudden and unexpected, others slower with effects that are not immediately discernible. The proliferation of sensor and sensor network technologies provides the opportunity to enable estimators and controllers designed to rapidly react to perceived changes or detected anomalies and to appropriately reconfigure underlying enterprise components. The goal of this project is to develop a fundamental understanding of reconfigurability based on which analytical methods and explicit reconfiguration algorithms can be derived and evaluated. The vision is a transformation of the enterprise towards not only flexibility, but also responsiveness to unexpected, not directly observable, and possibly adversarial events. The goals of the project are threefold: (i) to contribute to the theoretical foundations of a reconfigurability framework for an enterprise viewed as a large-scale dynamic system; (ii) to bring together and build upon the methodological advances the investigators have made spanning on-line performance sensitivity estimation, detection of random, adversarial and game-theoretic anomalies, robust optimization, and information acquisition systems that all capitalize on sensor and sensor network technologies; and (iii) to explore a critical shift in systems engineering with broad ramifications: replacing traditional fixed-interval, time-driven sampling and data processing by an event-driven approach better suited for large-scale asynchronous distributed environments. An integral part of the proposed project is the application of the ideas and explicit reconfiguration algorithms developed on two complementary test beds: (i) a warehouse with wireless sensor nodes on trucks; and (ii) the OpenAir wireless network over the city of Boston.The project is expected to advance the state-of-the-art in application domains that benefit from reconfigurability, primarily focusing on the enterprise where advances will result in increased energy efficiency, productivity growth, product and service quality, and enhanced workplace safety and security. Plans also include new courses, training graduate students, involving undergraduate students in the project, creating interactive educational software and demos, establishing cross-campus summer internships, and reaching out to high school students through two programs in which the investigators are involved.

PI：Christos G. Cassandrasinstitution：波士顿大学港口编号：0735974EFRI-ARESCI：企业可重新配置和优化的事件驱动的感应，波士顿大学的调查人员和马萨诸塞大学 - amherst大学 - amherst-Amherst的调查员都寻求对核对能力的根本性理解。 现代企业涵盖了许多过程，这些过程都会受到操作条件变化的变化，有些突然和意外的，而另一些过程则较慢，而效果则无法立即辨别。 传感器和传感器网络技术的扩散为估算器和控制器提供了机会，旨在快速反应感知的变化或检测到异常，并适当重新配置企业组件的基础。 该项目的目的是根据可以得出和评估分析方法和显式重新配置算法的重构性的基本理解。 愿景是企业不仅向灵活性的转变，而且是对意外的反应，而不是直接观察到的，也可能是对抗事件。 该项目的目标是三倍：（i）为被视为大规模动态系统的企业的可重构框架的理论基础做出贡献； （ii）为了结束并建立研究人员，研究人员已经使在线性能敏感性估计，随机，对抗和游戏理论异常，强大的优化和信息采集系统都大大利用传感器和传感器网络技术，以实现在线性能敏感性估计，检测随机，对抗性和游戏理论异常。 （iii）探索具有广泛分析的系统工程的批判性转变：通过事件驱动的方法替换传统的固定间隔，时间驱动的采样和数据处理，更适合大规模的异步分布式环境。 拟议项目的一个不可或缺的一部分是在两个互补的测试床上开发的思想和明确的重新配置算法的应用：（i）卡车上带有无线传感器节点的仓库； （ii）波士顿市的OpenAir无线网络。该项目有望在应用领域的最新范围内推进受益于重新配置的最先进，主要集中在企业上，在这种企业中，进步将提高能源效率，生产力增长，产品和服务质量，并增强了工作场所的安全和保障。 计划还包括新课程，培训研究生，涉及该项目的本科生，创建互动式教育软件和演示，建立跨校园暑期实习，并通过两个参与调查人员的计划与高中生接触。