EAGER: Cyber-Manufacturing with Multi-echelon Control and Scheduling

EAGER：多级控制和调度的网络制造

• 批准号: 1547110
• 负责人: John Hedengren
• 金额: $ 23.59万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547110&HistoricalAwards=false
• 关键词: EAGER; Cyber; Manufacturing; Multi; echelon

Abstract - Hedengren, 1547110Current process control and optimization strategies are typically divided into three major sections: base layer controls, advanced controls, and planning and scheduling. Each of these levels works at a different time scale, ranging from milliseconds to seconds for base controls, up to months or years at the planning and scheduling level. To simplify models and decrease computation time, each of these layers receives a minimal amount of information to fulfill its objective. This lack of information creates lost opportunities. For example, the scheduling program may pass a set of unreachable set points to the advanced controls, or the base controls could reach a set point through a suboptimal path due to its lack of knowledge regarding process nonlinearities that the advanced controls had incorporated.The purpose of this EAGER project is to develop a unified architecture for control and planning/scheduling applications. This is now possible because of large cloud computing infrastructure, mobile devices with wireless communication, smart sensors that build an internet of interacting devices, and recent break-through algorithms in solver and algorithmic performance. The project is about consolidation of disparate algorithms and research areas into a unifying architecture for scheduling and control through the development of a computational and visualization tool or APP. Although tested on local and limited multi-core resources, the project framework is proposed for a new paradigm of computing including cloud-based resources.Undergraduate students will participate on the project for course credit. Students from underrepresented groups will be recruited directly and by connecting to an existing college program that targets such students (WE @ BYU). From an educational standpoint, students will (i) gain experience in the design and implementation process for utilization of renewable resources (ii) demonstrate an appreciation for working within engineering constraints to develop a sustainable process, (iii) demonstrate effective teamwork and leadership skills as they work together on teams, and (iv) recognize the extent to which renewable resources can be applied to multiple process platforms.

摘要 - Hedengren，1547110电流过程控制和优化策略通常分为三个主要部分：基础层控件，高级控件以及计划和调度。这些级别中的每一个都在不同的时间范围内工作，从毫秒到基础控制的秒数，在计划和计划级别上最多数月或数年。为了简化模型并减少计算时间，这些层中的每一个都会收到最少的信息以实现其目标。缺乏信息会造成失去的机会。例如，调度程序可能会将一组无法到达的设定点传递给高级控件，或者基本控件可以通过次优路径到达设定点，因为它缺乏有关高级控制措施已包含的过程非线性知识的知识。此目前项目的目的是为控制和计划/计划应用程序开发统一的体系结构。现在是可能的，因为大云计算基础架构，具有无线通信的移动设备，构建交互设备的智能传感器以及求解器和算法性能的最新突破性算法。该项目是关于通过开发计算和可视化工具或应用程序的开发来安排和控制的统一体系结构的整合和研究领域。尽管在本地和有限的多核资源上进行了测试，但提出了用于包括基于云的资源的新计算范式的项目框架。高级学生将参加该项目以获得课程信用。来自代表性不足小组的学生将直接招募，并连接到针对此类学生的现有大学课程（我们 @ byu）。从教育的角度来看，学生（i）将获得在设计和实施过程中利用可再生资源的经验（ii）（ii）表现出对在工程限制中工作以开发可持续过程的欣赏，（iii）在团队中共同努力，以及（iv）识别可恢复资源的范围，以表明有效的团队合作和领导能力可以应用于多个流程平台。