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Ontology-Based Semantic Models for Industrial IoT Components Representation

  • Nikolay Teslya
  • Igor Ryabchikov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

The concept of Industry 4.0 is related to the transition of the industry to new ways of production organizing. New technologies provide basis for creating socio-cyberphysical systems for production also known as smart factories. The main components of smart factories are smart objects, including machines (production robots), people, software services, processed materials and manufactured products. Their interaction requires a model of each component also known as digital twin that reflects the properties of real object in virtual world and could be processed by other components. The paper proposes to use ontologies to develop the model for each type of objects. Five main ontologies for components and two additional is developed to describe production process. In addition, the interrelations between the developed ontologies is described.

Keywords

Socio-cyberphysical system Industry 4.0 Industrial IoT Digital twin Ontology model 

Notes

Acknowledgements

The presented research was partially supported by the projects funded through grants # 16-29-04349, 17-29-07073 and 17-07-00327 of the Russian Foundation for Basic Research.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.SPIIRASSt. PetersburgRussia

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