EAGER/Cybermanufacturing: Just-In-Time Compilation of Product Manufacturing Data to Machine Instructions via an Industrial Machine Operating System

未来的工厂将由网络软件和物理机器的无缝集成驱动，以提高制造灵活性、敏捷性和最终的生产效率。在这种网络制造环境中，基础物理资产是车间中将原材料/在制品加工成最终产品的单个制造机器。 这些机床的核心设计配置几十年来几乎没有变化，机床制造商之间的专有硬件和控制配置各不相同。这种分散和封闭的机器架构阻碍了网络物理机器软件的开发。EARLY概念探索性研究资助（EAGER）奖支持基础研究，将制造车间的单个机床转换为软件定义的机器，其中软件确定特定机器的操作特性。这项研究的结果将为开源工业机器操作系统（IMOS）奠定基础，该系统将为个人开发人员、研究人员和组织提供为各种制造过程编写软件应用程序的能力。本研究涉及制造工艺规划、嵌入式计算、编译器优化和机床控制系统理论等多个学科。这种结合制造和计算科学的多学科研究将教育新一代的科学家和工程师，从而提高美国在网络制造方面的竞争力。工业机器操作系统将在机床的硬件和软件组件内提供水平和垂直资源管理。该操作系统将通过软件栈在开放源代码的Linux内核上构建，该软件栈提供硬件抽象、打包库、应用程序框架和安装在诸如铣床的制造机器上的用户定义的应用程序。操作系统概念的价值将通过对网络制造至关重要的两个独特方面来证明：1）演示设计和制造过程数据在嵌入式计算平台上直接转换为机器指令，同时使用国际公认的产品文档格式，以及2）在嵌入式计算系统内的运行时间存储器期间，建立制造过程数据的即时编译和代码优化背后的规则。上述优点将通过机器操作系统框架来证明，该框架旨在可扩展并适应各种内存架构。

The factory of the future will be driven by a seamless integration of cyber-enabled software and physical machines to increase manufacturing flexibility, agility and ultimately production efficiency. In this cybermanufacturing environment, the foundational physical asset is the individual manufacturing machine on a shop floor which processes raw materials/in-process workpieces into final products. The core design configuration of these machines has changed little over decades, with proprietary hardware and control configurations that vary among machine tool builders. This fragmented and closed machine architecture hinders the development of software for cyberphysical machines. This EArly-concept Grant for Exploratory Research (EAGER) award supports fundamental research into transforming the individual machine tool on a manufacturing shop floor into software defined machines, wherein software determines the operational characteristics of a particular machine. The results of this research will lay the foundation of an open source Industrial Machine Operating System (IMOS) which will provide the capability to individual developers, researchers and organizations to write software applications for various manufacturing processes. This research involves several disciplines which include manufacturing process planning, embedded computing, compiler optimization and machine tool control system theory. This multi-disciplinary research combining manufacturing and computing sciences will educate a new generation of scientists and engineers leading to improved US competitiveness in cybermanufacturing. The Industrial Machine Operating System will provide horizontal and vertical resource management within a machine tool's hardware and software components. This operating system will be built on the open sourced Linux kernel by a software stack that provides hardware abstraction, packaged libraries, an application framework and user defined applications installed on a manufacturing machine such as a milling machine. The value of the operating system concept will be demonstrated through two unique aspects critical to cybermanufacturing: 1) Demonstration of the direct transfer of design and manufacturing process data to machine instructions on an embedded computing platform while making use of internationally accepted product documentation formats, and 2) Establishment of the rules behind Just-In-Time compilation and code optimization of manufacturing process data during run-time memory within an embedded computing system. The above merits will be demonstrated through the machine operating system framework, intended to be scalable and adaptable to various memory architectures.