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AGVs mission control support in smart factories by decision networks
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SYSNO ASEP 0537788 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title AGVs mission control support in smart factories by decision networks Author(s) Věchet, Stanislav (UT-L) RID, ORCID
Krejsa, Jiří (UT-L) RID, ORCID
Chen, K.S. (TW)Number of authors 3 Issue data Prague: IEEE, 2020 ISBN 978-1-7281-5602-6 Article number 9286465 Source Title Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020. - New York : Institute of Electrical and Electronics Engineers Inc., 2020 / Maga D. ; Hajek J. - ISBN 978-172815601-9 Number of pages 4 s. Publication form Print - P Action International Conference on Mechatronics - Mechatronika /19./ Event date 02.12.2020 - 04.12.2020 VEvent location Praha Country CZ - Czech Republic Event type WRD Language eng - English Country US - United States Keywords decision network ; Bayesian probability ; smartfactories ; AGV Subject RIV JC - Computer Hardware ; Software OECD category Robotics and automatic control Institutional support UT-L - RVO:61388998 UT WOS 000662155700036 EID SCOPUS 85099284913 DOI 10.1109/ME49197.2020.9286465 Annotation Towards the implementation of AGV's (Automated Guided Vehicles) complex navigation tasks within the dynamic and hazardous environment of upcoming smart factories the developers challenges reliability and maintenance problem. While the number of AGVs in shared space gets higher the risk of failure follows the trend and both the users and developers need an adequate tool to monitor and diagnose all applied AGVs in real time. We have prepared a decision network to support the AGVs missions by real-time internal diagnostic to prepare more reliable AGV solutions in smart factories.
The internal diagnostics monitors the sensors/inputs signals and internal communication channels to take decision on further actions to perform within the given environment. The main task for the decision network is to support the control system or human operator with possible decisions to take to avoid system failure.Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2021 Electronic address https://ieeexplore.ieee.org/document/9286465
Number of the records: 1