时间约束柔性制造的实时平台和环境

J. Stankovic, K. Ramamritham, G. Zlokapa
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引用次数: 6

摘要

Spring内核和相关的算法、语言和工具为需要可预测操作的静态或动态实时应用程序提供系统支持。Spring目前由两个主要部分组成:(1)开发环境,其中描述、预处理和下载应用程序和目标系统;(2)运行时环境,其中操作系统(Spring内核)创建并确保应用程序任务的可预测执行。我们将实时系统技术与机器人、计算机视觉和实时人工智能的组件技术相结合,开发了一个柔性制造的测试平台。所产生的结果是通用的,因此它们应该用于许多其他实时应用,如空中交通管制和化工厂。我们描述了这个平台,确定了开发的新特性,并评论了迄今为止从这个实验中学到的一些教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time platforms and environments for time constrained flexible manufacturing
The Spring Kernel and associated algorithms, languages, and tools provide system support for static or dynamic real-time applications that require predictable operation. Spring currently consists of two major parts: (1) the development environment, where application and target systems are described, preprocessed and downloaded, and (2) the run-time environment, where the operating system, the Spring Kernel, creates and ensures predictable executions of application tasks. We have integrated our real-time systems technology with component technologies from robotics, computer vision, and real-time artificial intelligence, to develop a test platform for flexible manufacturing. The results being produced are generic so that they should be in many other real-time applications such as air traffic control and chemical plants. We describe this platform, identify new features developed, and comment on some lessons learned to date from this experiment.<>
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