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

项目负责人：Christos G. CassandrasInstitution：波士顿大学提案号：0735974EFRI-ARESCI：事件驱动感知企业可重构性和优化该项目由波士顿大学和马萨诸塞大学阿默斯特分校的研究人员组成，旨在对可重构性和优化进行基本理解。现代企业包含了许多过程，这些过程都受操作条件变化的影响，有些是突然的和意想不到的，有些则是缓慢的，其影响不能立即察觉。传感器和传感器网络技术的发展为评估器和控制器设计提供了机会，使其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。该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重构算法。愿景是企业不仅向灵活性转变，而且向对意外的、不能直接观察到的、可能是对抗性事件的响应性转变。该项目的目标有三个：(i)为一个被视为大规模动态系统的企业的可重构性框架提供理论基础；（ii）汇集并建立研究人员所取得的方法进步，包括在线性能灵敏度估计、随机、对抗性和博弈论异常检测、鲁棒优化和信息获取系统，这些都利用了传感器和传感器网络技术；（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的试验台上开发的思想和明确的重新配置算法：(i)卡车上具有无线传感器节点的仓库；以及（ii）波士顿市上空的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，主要关注企业，这些领域的进步将提高能源效率、生产力增长、产品和服务质量，并增强工作场所的安全性。计划还包括开设新课程，培训研究生，让本科生参与项目，创建互动式教育软件和演示，建立跨校园暑期实习，并通过研究者参与的两个项目向高中生伸出援助之手。

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.