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Proposal of an Approach to Automate the Generation of a Transitic System's Observer and Decision Support using Model Driven Engineering

机译:使用模型驱动工程实现自动化贸易系统观察者和决策支持的方法的提议

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Short term decision support for manufacturing systems is generally difficult because of the initial data needed by the calculations. Previous works suggest the use of a discrete event observer in order to retrieve these data from a virtual copy of the workshop, as up to date as possible at any time. This proposal offered many perspectives, but suffers from the difficulties to generate a decision support tool combining decision calculations and observation. Meanwhile, interesting developments were made in literature about automatic generation of logic control programs for those same manufacturing systems, especially using the Model Driven Engineering. This paper suggests the use of Model Driven Engineering to generate logic control programs, the observer and the decision support tool at the same time, based on the same data collected by the designer of the system. Thus, the last section presents the evolution needed in the initial data structure, as well as the conception flow suggested to automatize the generation.
机译:由于计算所需的初始数据,对制造系统的短期决策支持通常很困难。以前的作品建议使用离散事件观察者,以便在车间的虚拟副本中检索这些数据,随时尽可能最新。该提案提供了许多观点,但遭受了产生决策计算和观察的决策支持工具的困难。与此同时,有关这些相同制造系统的自动生成逻辑控制程序的文献中,特别是使用模型驱动工程的逻辑控制程序进行了有趣的发展。本文建议使用模型驱动工程的使用,同时使用系统的相同数据来生成逻辑控制程序,观察者和决策支持工具。因此,最后一节介绍了初始数据结构中所需的进化,以及建议自动化生成的概念流程。

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