Concept for AutomationML-based interoperability between multiple independent engineering tools without semantic harmonization: Experiences with AutomationML

Bihani, Prerna; Drath, Rainer

doi:10.1109/etfa.2017.8247586

Cited by 12 publications

(1 citation statement)

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“…Following the I4.0 paradigm shift, worldwide industry leaders present tools for softening the transition from the current to the future state of industry background. ABB proposes the use of AutomationML tools for interoperability among various other existing tools [41]. They also propose an algorithm for the automatic generation of plant topology from information received/monitored in an operations data flow [42].…”

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confidence: 99%

The 5W’s for Control as Part of Industry 4.0: Why, What, Where, Who, and When—A PID and MPC Control Perspective

Maxim

Copot

et al. 2019

Inventions

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The advent of Industry 4.0(I4.0) has pushed technology beyond its physical limits, making the process prone to errors and poorer performance. Whether it is about smart manufacturing where mass customization is envisaged, or collaborative human–robot engineering systems, the pyramid of process operation has changed to a matrix form and control is the backbone of all process elements. The paper gives a concise guideline as to how, when, where, and what to apply when it comes to choosing the most suitable control strategy as a function of multi-parameter objective optimization. Both proportional-integral-derivative (PID) and model predictive control (MPC) control are addressed in this context.

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confidence: 99%