AGVs mission control support in smart factories by decision networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388998%3A_____%2F20%3A00537788" target="_blank" >RIV/61388998:_____/20:00537788 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9286465" target="_blank" >https://ieeexplore.ieee.org/document/9286465</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ME49197.2020.9286465" target="_blank" >10.1109/ME49197.2020.9286465</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AGVs mission control support in smart factories by decision networks

Popis výsledku v původním jazyce

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.nThe 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.

Název v anglickém jazyce

AGVs mission control support in smart factories by decision networks

Popis výsledku anglicky

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.nThe 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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika, ME 2020

ISBN

978-172815601-9

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

9286465

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

New York

Místo konání akce

Praha

Datum konání akce

2. 12. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—