Ontology-Based Monitoring of Production Processes Using Industrial Sensor Data
DOI:
https://doi.org/10.24425/mper.2025.156141Abstract
The rapid development of solutions based on modern information technologies (i.e., Semantic ML or ChatGPT) has emerged in the industry and its management methods. During the analysis of the possibilities of using these technologies in the processes of operation and maintenance of machines and devices, the options of using ontology for monitoring production processes based on measurement data obtained from vibration sensors located on the CP Factory production line in the Laboratory of Modeling of Intelligent Production Systems of the Kielce University of Technology were considered. The article aims to present the possibility of using measurement data to build an ontology of machine and equipment maintenance processes and to indicate the possibility of using it to create scenarios of events affecting the monitoring of appropriate operational parameters of the production process with the use of controlled natural language.References
Bajerowska, A. (2017). Ontologies in information systems as knowledge representations. Applied Linguistics, 21, 1–8.
Franz Inc. (2024). AllegroGraph – Neuro-Symbolic AI Platform. AllegroGraph: https://allegrograph.com/.
Gliński, W. (2005). Ontologies: An Attempt at Structuring Terminological Chaos. From scientific information to information society technology, 163–175.
Goczyła, K. (2011). Ontologies in information systems. EXIT, Poland.
Gohale, P., Bhat, O. & Bhat, S. (2018). Introduction to IOT. IARJET.
Grafana. (2024). Grafana Dashboard https://grafana. com/.
Gruber, T. R. (1993). A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition, 5(2), 199–200.
Grzelak, W. (2013). Ontology – an attempt to systematize concepts, Business Informatics, 4.
Moczydłowska, J. (2022). Industry 4.0 (?) People and technologies. Difin, Poland.
Nagy, L., Ruppert, T., & Abonyi, J. (2021). Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production. Complexity, 2021(3), 1–21.
Olszewska, J. I., & Allison, A. K. (2018). ODYSSEY: Software development life cycle ontology. International Conference on Knowledge Engineering and Ontology Development. Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 303–311.
Oracle. (2024). What is IoT? https://www.oracle.com/ pl/internet-of-things/what-is-iot/
Sampath Kumar, V., Khamis, A., Fiorini, S., Carbon Alarcos, A., Habib, M., & Olszewska, J. (2019). Ontologies for Industry 4.0. The Knowledge Engineering Review, 34, e17.
Simmons, A. (2024). Internet of Things (IoT) Architecture: Layers Explained: https://dgtlinfra.com/internet-of-things-iot-architecture/
Siuta-Tokarska, B. (2021). Industry 4.0 and artificial intelligence: an opportunity or a threat to the implementation of the concept of sustainable and lasting development? Social Inequalities and Economic Growth, 65, 7–26.
Szatkowski, K. (2014). Modern production management. Process shots. PWN, Poland.
