EAGER/Cybermanufacturing: Data-driven Real-time Embodiment of Advanced Manufacturing Systems (DREAMS)

EAGER/网络制造：数据驱动的先进制造系统实时体现（DREAMS）

• 批准号: 1547112
• 负责人: Tarek Zohdi
• 金额: $ 25万
• 依托单位: University of California-Berkeley
• 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=1547112&HistoricalAwards=false
• 关键词: EAGER; Cybermanufacturing; Data; driven; Real

Advanced manufacturing systems, cyber-enabled tools equipped with intelligent sensors and communication abilities, have become increasingly capable, ubiquitous, and standardized to increase the productivity, quality, and complexity of manufactured goods. Until the recent introduction of MTConnect, a standardized protocol for extracting data from a system's sensors, this sensor data had only been used by the machine itself for control purposes - resulting in a lost opportunity to analyze a wealth of in-process measurements for optimization, quality, process planning, and other improvements that could result in more resource, energy, and cost efficient operation. The primary goal of this EArly-concept Grant for Exploratory Research (EAGER) project is to design and implement a scalable Data-driven Real-time Embodiment of Advanced Manufacturing Systems (DREAMS) platform to interface with MTConnect in order to aggregate, analyze, and provide new opportunities to interact with process data from advanced manufacturing systems. DREAMS will be established in collaboration with cybersecurity researchers in order to build it with security and resilience as a requirement, rather than an afterthought, and the design will address research questions inherent to providing distributed access and computational abilities with facility-level security. DREAMS will enable secure, real-time processing and conditioning of sensor and process data from advanced manufacturing system controllers, via the MTConnect interoperability protocol for computer numerically controlled (CNC) machine tools. Once the DREAMS architecture is in place, a handful of pilot research domains will be explored, including: research into how applications and auxiliary systems guided by DREAMS could influence manufacturing education; enhancing real-time diagnostics and prognostics with continuously-updated and adaptive physical simulations; and how DREAMS could inform intelligent process parameter and toolpath selection for energy and resource efficiency. Success in this initial project would lay the foundation for a wealth of follow-on work leveraging and enhancing the DREAMS platform, for example, in complex event processing, real-time data analysis, and forecasting of complex scenarios originating in workplaces and with future advanced manufacturing processes. DREAMS can facilitate more intelligent, precise, resource-efficient, resilient, and connected manufacturing services, and given that it will be built around the MTConnect protocol, it will be low-cost and available to universities, large corporations, SMEs, and entrepreneurs alike.

先进制造系统，配备智能传感器和通信能力的网络工具，已经变得越来越强大，无处不在和标准化，以提高生产力，质量和制造产品的复杂性。在最近推出MTConnect（一种用于从系统传感器提取数据的标准化协议）之前，这些传感器数据仅由机器本身用于控制目的，从而失去了分析大量过程中测量结果的机会，这些测量结果可用于优化、质量、工艺规划和其他改进，从而提高资源、能源和成本效益。EAGER项目的主要目标是设计和实现一个可扩展的数据驱动的先进制造系统实时实施（DREAMS）平台，与MTConnect接口，以聚合，分析和提供新的机会与先进制造系统的过程数据进行交互。DREAMS将与网络安全研究人员合作建立，以将安全性和弹性作为一项要求，而不是事后的想法，设计将解决提供分布式访问和计算能力所固有的研究问题。DREAMS将通过用于计算机数控（CNC）机床的MTConnect互操作性协议，实现对来自先进制造系统控制器的传感器和过程数据的安全、实时处理和调节。一旦DREAMS架构到位，将探索一些试点研究领域，包括：研究DREAMS指导的应用程序和辅助系统如何影响制造教育;通过不断更新和自适应的物理模拟增强实时诊断和诊断;以及DREAMS如何为智能工艺参数和刀具路径选择提供信息，以提高能源和资源效率。这一初始项目的成功将为大量利用和增强DREAMS平台的后续工作奠定基础，例如，复杂事件处理，实时数据分析以及对工作场所和未来先进制造过程中产生的复杂场景的预测。DREAMS可以促进更智能，更精确，更节省资源，更有弹性和连接的制造服务，并且鉴于它将围绕MTConnect协议构建，它将是低成本的，可供大学，大公司，中小企业和企业家使用。