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Introducing a multipliable BOM-based automatic definition of information retrieval in plant engineering

Published online by Cambridge University Press:  16 May 2024

Max Layer ,
Sebastian Neubert  and
Ralph Stelzer
Max Layer*
Affiliation:
Siemens Energy Global GmbH & Co.KG, Germany
Sebastian Neubert
Affiliation:
Siemens Energy Global GmbH & Co.KG, Germany
Ralph Stelzer
Affiliation:
Technische Universität Dresden, Germany
*
[email protected]

Abstract

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The complexity of process plants and the growing demand for digitalization require efficient and accurate information retrieval throughout the lifecycle phases of a process plant. This paper discusses the concept of instantiation and introduces a method for identifying and multiplying required information in plant engineering using scalable so-called Instantiation Blocks linked to the Bill of Material. Core functionality, an ontology graph and a user interface based on Python and React are developed to demonstrate the implementation of the framework and validate its effectiveness in practice.

Keywords

information retrievalknowledge managementplant engineeringnatural language processing (NLP)semantic modelling
Type
Design Information and Knowledge
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 413 - 422
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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