Ontologies in designing industrial digital platforms

Бесплатный доступ

The article explores the use of an ontological approach in designing industrial digital platforms within the framework of the Industry 4.0 paradigm. An approach to creating knowledge bases of technical system components using ontological models and fuzzy logic is proposed. The Industry 4.0 reference model is represented through ontologies, incorporating standards from smart manufacturing and ontology engineering applied to business model development. The study classifies the properties and interrelations of technical system elements that possess digital representations within industrial digital platforms. A multi-level ontology framework is introduced, comprising a meta-ontology, applied ontologies, and enterprise ontologies, which together enable data standardization and integration within digital platform ecosystems. The functions of an intelligent assistant for automated input of elements into ontological models in the context of Industry 4.0 are defined. A data structuring tool for corporate information systems in mechanical engineering and energy, based on the 1C: Enterprise platform, has been developed. The results demonstrate that applying an ontological approach to the management of industrial digital platforms and the creation of digital models of products and their manufacturing processes ensures a unified interpretation of data across all entities within production ecosystems, promotes interoperability and automation of knowledge processing throughout the product life cycle, facilitates the integration of new elements, and supports compliance with Industry 4.0 standards.

Еще

Ontological approach, technical system, production system, digital platform, design, intelligent assistant, Industry 4.0

Короткий адрес: https://sciup.org/170211136

IDR: 170211136   |   УДК: 658.512   |   DOI: 10.18287/2223-9537-2025-15-4-535-551