自动化:从数据交换到系统规划和仿真

S. Faltinski, O. Niggemann, N. Moriz, A. Mankowski
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引用次数: 39

摘要

现代自动化系统的规划、测试和集成日益成为新建生产设施建设的瓶颈。这是由于植物生长的复杂性和现代自动化系统是高度分布的,包含复杂的组件。为了应对这些挑战,并保证自动化系统的实现时间短,错误少,需要现代化的开发过程。这种现代过程可以简化为四个主要方面:(i)具有相应无缝工具的无缝过程,(ii)高水平的模型重用和适应性,(iii)可执行模型和早期测试,以及(iv)分布式系统的全系统规划过程。因此,已建立的工具景观及其针对每个工程学科的专用工具很难跟上这些趋势。本文提出的方法使用新的数据交换格式AutomationML实现了一个开发过程,包括(i)和(iv)方面。AutomationML作为一种启用技术,有可能改变未来的开发过程,并可能触发开发新的、更好的集成工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AutomationML: From data exchange to system planning and simulation
The planning, testing and integration of modern automation systems is becoming more and more a bottleneck in the construction of new production facilities. This is due to the facts that plants grow in complexity and that modern automation systems are highly distributed and comprise complex components. To cope with these challenges and to guarantee short implementation times and a small number of errors for the automation systems, modern development processes are needed. Such modern processes can be reduced to four main aspects: (i) A seamless process with corresponding seamless tools, (ii) a high level of model reuse and adaptability, (iii) executable models and early tests, and (iv) a system-wide planing process of the distributed system. Therefore, the established tool landscape with its specialized tools for each discipline of engineering has difficulties to keep up with these trends. The approach presented in this paper implements a development process including the aspects (i) (iv) using the new data exchange format AutomationML. AutomationML serves as an enabling technology and has the potential to change future development processes and may trigger the development of new, better integrated tools.
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