Welcome to the InfoSci Platform
Reference Hub2
Ontology-Based Modelling of State Machines for Production Robots in Smart Manufacturing Systems

Ontology-Based Modelling of State Machines for Production Robots in Smart Manufacturing Systems

Alexander Smirnov, Nikolay Shilov, Maxim Shchekotov
Copyright: © 2020 |Volume: 11 |Issue: 2 |Pages: 16
ISSN: 1947-3176|EISSN: 1947-3184|EISBN13: 9781799807001|DOI: 10.4018/IJERTCS.2020040105
Cite Article Cite Article

MLA

Smirnov, Alexander, et al. "Ontology-Based Modelling of State Machines for Production Robots in Smart Manufacturing Systems." IJERTCS vol.11, no.2 2020: pp.76-91. http://doi.org/10.4018/IJERTCS.2020040105

APA

Smirnov, A., Shilov, N., & Shchekotov, M. (2020). Ontology-Based Modelling of State Machines for Production Robots in Smart Manufacturing Systems. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 11(2), 76-91. http://doi.org/10.4018/IJERTCS.2020040105

Chicago

Smirnov, Alexander, Nikolay Shilov, and Maxim Shchekotov. "Ontology-Based Modelling of State Machines for Production Robots in Smart Manufacturing Systems," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 11, no.2: 76-91. http://doi.org/10.4018/IJERTCS.2020040105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The integration of modern IT technologies in production equipment does not only enable them to acquire information from different sources and provide it to others but also to make decisions depending on the situation. Due to the limited processing power of such equipment, usage of state machine to describe and program it is considered a promising direction. However, the necessity of intensive interaction of the equipment units causes problems related to interoperability, which are usually solved with the usage of ontologies. The objective of the presented research is to model state machines of production robots via ontologies. The results are demonstrated on the example of a fragment of an automated production line.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.