利用数据收集实现对传统PLC的自动状态机重建

D. Chivilikhin, Sandeep Patil, Anthony Cordonnier, V. Vyatkin
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引用次数: 2

摘要

如今,越来越多的行业正在考虑朝着符合工业4.0标准的方向发展。但是,由于许多原因,这种过渡并不简单:特别是,转移到新系统可能导致严重的生产停机时间,并可能导致延迟和成本超支。最好的方法是系统地无缝过渡到工业4.0提供的更新和先进技术。本文提出了一个自动合成框架,该框架可以学习现有遗留的和通常是黑盒可编程逻辑控制器的行为,并生成可以集成到IEC 61499功能块中的状态机。本文介绍了工具链体系结构,并在实验室规模的Festo教学机电系统中进行了实例验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards automatic state machine reconstruction from legacy PLC using data collection
Today, more and more industries are considering moving towards being Industry 4.0 compliant. But this transition is not straightforward due to many reasons: in particular, transfer to new system can lead to significant production downtime and could result in delays and cost overruns. The best way is systematic seamless transition to newer and advanced technologies that Industry 4.0 offers. This paper proposes an automated synthesis framework that learns the behavior of existing legacy and often black-box programmable logic controllers and generates state machines that can be incorporated into IEC 61499 function blocks. The paper presents the toolchain architecture and exemplifies it on a laboratory scale Festo didactic mechatronic system.
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