This project is co-financed with state support of the CR Technological Agency as part of 7. veřejná soutěž - Programu průmyslového výzkumu a experimentálního vývoje TREND
www.tacr.cz
Research useful for society.

Project detail

Utilization of Advantages of 5th Generation Network for Monitoring, Optimization and Effectiveness of Manufacturing Process in Smart Factories

Duration: 01.01.2023 — 31.12.2024

Funding resources

Technologická agentura ČR - 7. veřejná soutěž - Program průmyslového výzkumu a experimentálního vývoje TREND

- whole funder

On the project

Předkládaný projekt reaguje na přednosti, které 5G do výrobního procesu přináší.

Description in English
The 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.

Keywords
5G; OPC UA; TSN; KPI; CBCM;

Key words in English
5G, 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 researcher
Mišurec Jiří, prof. Ing., CSc. - principal person responsible

Units

Department of Telecommunications
- (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

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

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

Responsibility: Mišurec Jiří, prof. Ing., CSc.