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Knowledge-based engineering and computer vision for configuration-based substation design
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.
2023 (English)In: FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND, ISSN 2297-3079, Vol. 9, article id 1154316Article in journal (Refereed) Published
Abstract [en]

Introduction: As the increase in electrification poses new demands on power delivery, the quality of the distribution system is paramount. Substations are a critical part of power grids that allow for control and service of the electrical distribution system. Substations are currently developed in a project-based and manually intensive manner, with a high degree of manual work and lengthy lead times. Substations are primarily sold through tenders that are accompanied by an inherent need for engineering-to-order activities. Although necessary, these activities present a paradox as tender processes must be agile and fast. To remedy this shortcoming, this article outlines a knowledge capture and reuse methodology to standardize and automate the product development processes of substation design.Methods: A novel framework for substation design is presented that implements knowledge-based engineering (KBE) and artificial intelligence methods in computer vision to capture knowledge. In addition, a product configuration system is presented, utilizing high-level CAD templates. The development has followed the KBE methodology MOKA.Results: The proposed framework has been implemented on several company cases where three (simplified) are presented in this paper. The framework decreased the time to create a 3D model from a basic electric single line diagram by performing the identification and design tasks in an automated fashion.Discussion: Ultimately, the framework will allow substation design companies to increase competitiveness through automation and knowledge management and enable more tenders to be answered without losing engineering quality.

Place, publisher, year, edition, pages
FRONTIERS MEDIA SA , 2023. Vol. 9, article id 1154316
Keywords [en]
computer-aided design; knowledge-based engineering; template matching; product configuration system; substation design
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-193977DOI: 10.3389/fmech.2023.1154316ISI: 000980609300001OAI: oai:DiVA.org:liu-193977DiVA, id: diva2:1758346
Note

Funding Agencies|AutoKonfig project [2020-02823]; PiiA: Digitalization of industrial value chains, Vinnova Sweden

Available from: 2023-05-22 Created: 2023-05-22 Last updated: 2023-10-12

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Nordvall, ErikWiberg, AntonTarkian, Mehdi
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