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

PI：Christos G.Cassandras机构：波士顿大学提案编号：0735974EFRI-ARESCI：企业可重构和优化的事件驱动传感这个项目与来自波士顿大学和马萨诸塞大学阿默斯特分校的研究人员一起，寻求对可重构和优化的基本理解。现代企业包括许多流程，这些流程都会受到运营条件变化的影响，其中一些是突然的和意想不到的，另一些是较慢的，影响不是立即可见的。传感器和传感器网络技术的激增为估计器和控制器提供了机会，这些估计器和控制器旨在对感知的变化或检测到的异常做出快速反应，并适当重新配置底层企业组件。这个项目的目标是发展对可重构性的基本理解，在此基础上可以推导和评估分析方法和显式的重构性算法。这一愿景是企业的转型，不仅是朝着灵活性，而且是对意外的、不直接可见的、可能是对抗性的事件的响应。该项目的目标有三个：(1)为被视为大型动态系统的企业的可重构框架的理论基础作出贡献；(2)汇集和发展调查人员在在线性能敏感性评估、检测随机、对抗性和博弈论异常、稳健优化和信息获取系统等方面取得的方法论进步，这些系统都利用了传感器和传感器网络技术；以及(Iii)探索系统工程中具有广泛影响的关键转变：用更适合大规模异步分布式环境的事件驱动方法取代传统的固定间隔、时间驱动的采样和数据处理。拟议项目的一个组成部分是应用在两个互补试验台上开发的思想和显式重新配置算法：(I)卡车上带有无线传感器节点的仓库；以及(Ii)波士顿上空的OpenAir无线网络。该项目预计将推动受益于可重构性的应用领域的最先进技术，主要专注于企业，在这些领域，进步将导致能源效率、生产率增长、产品和服务质量以及工作场所安全和安保的增强。计划还包括开设新课程，培训研究生，让本科生参与该项目，创建互动教育软件和演示，建立跨校园暑期实习，以及通过调查人员参与的两个项目接触高中生。

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.