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Project detail
Duration: 01.01.2023 — 31.12.2024
Funding resources
Technologická agentura ČR - 7. veřejná soutěž - Program průmyslového výzkumu a experimentálního vývoje TREND
- whole funder (2023-03-01 - 2028-07-31)
On the project
Předkládaný projekt reaguje na přednosti, které 5G do výrobního procesu přináší.
Description in EnglishThe research project responds to the advantages of 5G in the production process. It aims optimization production processes through a modern monitoring system in smart factories and ensures maximum efficiency, waste reduction and monetization of 5G infrastructure (increase productivity and thus the returns of investment in 5G infrastructure). Predictive analysis is considered as an accompanying tool, which will increase the actual use of data and thus help automated and manual planning tools to a much more efficient informed decision-making process. The results of the project will offer a comprehensive approach to sensor data within the 5G infrastructure of the futuristic smart factory.
Keywords5G; OPC UA; TSN; KPI; CBCM;
Key words in English5G, Industry 4.0, KPI, Machine Learning, AI, Automated Predictive Maintanance, Manufacturing optimization, Manufacturing prediction, OPC UA
Mark
FW07010004
Default language
Czech
People responsible
Fujdiak Radek, doc. Ing., Ph.D. - fellow researcherMišurec Jiří, prof. Ing., CSc. - principal person responsible
Units
Department of Telecommunications- beneficiary (2022-06-10 - not assigned)
Results
MOŽNÝ, R.; MAŠEK, P.; ŠTŮSEK, M.; MOLNÁR, K.; PALENSKA, M.; MOLTCHANOV, D.; HOŠEK, J. Experimental Quality Assessment of Cellular Networks and their Utilization for UAV Services. In 2023 IEEE 97th Vehicular Technology Conference VTC2023 (Spring). 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). IEEE, 2023. p. 1-6. ISBN: 979-8-3503-1114-3. ISSN: 2577-2465.Detail
ŠTŮSEK, M.; MAŠEK, P.; DVOŘÁK, R.; LE DINH, T.; MOŽNÝ, R.; ZEMAN, K.; OMETOV, A.; ČÍKA, P.; MLÝNEK, P.; HOŠEK, J. Exploiting NB-IoT Network Performance and Capacity for Smart-Metering Use-Cases. In In proceedings of the 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Gent, Belgium: 2023. p. 193-199. ISBN: 979-8-3503-9328-6.Detail
KUCHAŘ, K.; BLAŽEK, P.; FUJDIAK, R. From Playground to Battleground: Cyber Range Training for Industrial Cybersecurity Education. In ICCNS 2023 Proceedings. 2023. p. 1-6. ISBN: 979-8-4007-0796-4.Detail
HOLASOVÁ, E.; FUJDIAK, R.; MIŠUREC, J. Comparative Analysis of Classification Methods and Suitable Datasets for Protocol Recognition in Operational Technologies. Algorithms, 2024, vol. 17, no. 5, p. 1-20. ISSN: 1999-4893.Detail
HOLASOVÁ, E.; BLAŽEK, P.; FUJDIAK, R.; MAŠEK, J.; MIŠUREC, J. Exploring the Power of Convolutional Neural Networks for Encrypted Industrial Protocols Recognition. Sustainable Energy, Grids and Networks, 2024, vol. 38, no. June 2024, p. 1-11. ISSN: 2352-4677.Detail
POSPÍŠIL, J.; FUJDIAK, R. Increasing data rate of LoRa technology using frequency division multiplex. In ICCNS 2023 Proceedings. 2023. p. 1-5. ISBN: 979-8-4007-0796-4.Detail
HOLASOVÁ, E.; FUJDIAK, R.; BLAŽEK, P.; BOHAČÍK, A. Automated Neural Network Structure Design for Efficient Anomaly Identification. In ICCNS 2023 Proceedings. 2023. p. 1-7. ISBN: 979-8-4007-0796-4.Detail
KUCHAŘ, K.; HOLASOVÁ, E.; FUJDIAK, R.; SYSEL, R.; POSPÍŠIL, O.; FUJDIAK, I.; MIŠUREC, J.: FW07010004-V4; KAREL: Konvergentní Adaptibilní 5g-Ready Experimentální Linka. CyberGrid laboratoř (SC5.36). (funkční vzorek)Detail