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

PI：Christine G. Cassandras机构：波士顿大学提案编号：0735974 EFRI-ARESCI：事件驱动的企业可重构性和优化检测这个项目，与来自波士顿大学和马萨诸塞州阿默斯特大学的研究人员，寻求可重构性和优化的基本理解。 现代企业包括许多过程，这些过程都受到操作条件的变化的影响，有些是突然的和意外的，其他的则较慢，影响无法立即察觉。 传感器和传感器网络技术的扩散提供了使估计器和控制器能够对感知到的变化或检测到的异常做出快速反应并适当地重新配置底层企业组件的机会。 这个项目的目标是发展一个基本的理解，可重构性的基础上，分析方法和明确的重构算法可以推导和评估。 我们的愿景是将企业转变为不仅具有灵活性，而且能够对不可预见的、不可直接观察的、可能是对抗性的事件做出响应。 该项目的目标有三个方面：（i）为被视为大规模动态系统的企业的可重构性框架的理论基础做出贡献;（ii）汇集和建立研究人员在方法上取得的进展，包括在线性能敏感性估计，检测随机，对抗和博弈论异常，鲁棒优化，和信息采集系统，所有利用传感器和传感器网络技术;和（iii）探索系统工程的重大转变与广泛的影响：取代传统的固定间隔，时间驱动的采样和数据处理的事件驱动的方法更适合于大规模的异步分布式环境。 该项目的一个组成部分是在两个互补的试验台上开发的思想和显式重新配置算法的应用：（i）卡车上的无线传感器节点的仓库;以及（ii）波士顿市的OpenAir无线网络。该项目预计将推进受益于可重构性的应用领域的最新技术，主要侧重于企业，这些企业的进步将提高能源效率、生产力增长、产品和服务质量，并加强工作场所的安全和安保。 计划还包括新课程，培训研究生，让本科生参与项目，创建交互式教育软件和演示，建立跨校园暑期实习，并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.