Wissensbasiertes Assistenzsystem für modulares Engineering

Obst, Michael; Doherr, Falk; Urbas, Leon

doi:10.1524/auto.2013.0011

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Researchers have been working on the automation of process development since the 90s. To assist the engineering process during the creation of P&IDs, multiple rule‐based systems have been developed 3‐5 . Modularization approaches of chemical plants commonly provide the underlying framework of rule‐based systems and aim to accelerate process development 6‐8 .…”

Section: Introductionmentioning

confidence: 99%

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Toward automatic generation of control structures for process flow diagrams with large language models

Hirtreiter,

Schulze Balhorn,

Schweidtmann

2023

AIChE Journal

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Developing Piping and Instrumentation Diagrams (P&IDs) is a crucial step during process development. We propose a data‐driven method for the prediction of control structures. Our methodology is inspired by end‐to‐end transformer‐based human language translation models. We cast the control structure prediction as a translation task where Process Flow Diagrams (PFDs) without control structures are translated to PFDs with control structures. We represent the topology of PFDs as strings using the SFILES 2.0 notation. We pretrain our model using generated PFDs to learn the grammatical structure. Thereafter, the model is fine‐tuned leveraging transfer learning on real PFDs. The model achieved a top‐5 accuracy of 74.8% on 10,000 generated PFDs and 89.2% on 100,000 generated PFDs. These promising results show great potential for AI‐assisted process engineering. The tests on a dataset of 312 real PFDs indicate the need for a larger PFD dataset for industry applications and hybrid artificial intelligence solutions.

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Section: Introductionmentioning

confidence: 99%

“…Similarly, Uzuner et al 3 . and Obst et al 5 . also utilize a knowledge‐based method, which is represented as a hierarchical decision tree.…”

Section: Introductionmentioning

confidence: 99%

Toward automatic generation of control structures for process flow diagrams with large language models

Hirtreiter,

Schulze Balhorn,

Schweidtmann

2023

AIChE Journal

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“…-real time optimization of large continuous plants [17,18], -inter-plant control and optimization [19][20][21], -knowledge based engineering [22,23].…”

Section: Introductionmentioning

confidence: 99%

A discussion of the actual status of process control in theory and practice: a personal view from German process industry

Piechottka

Hagenmeyer

2014

At – Automatisierungstechnik

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The contribution aims at stimulating a dialogue between academia and industry: from an application point of view, the authors observe in the field of process control an ongoing drift between theory and practice. As engineers, the authors are concerned that this drift weakens the position of process control as a whole. Hence, a thorough analysis and a following discussion are at need. In order to contribute to the aforementioned dialogue, first the state of the art of process control in the Western European chemical industry is reported by displaying the results of a Western-European-wide survey. Thereafter, a discussion of the actual context of industrial applications of process control is led. Finally, the contribution is concluded in view of opening the field for the dialogue in need by some remarks fostering the future of process control as a whole.

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