SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY

This paper is a case study of the development of a localization and positioning subsystem of an Automated Guided Vehicle-based transportation system. The described system uses primarily RFID markers for localization. In some deployments, those markers occasionally fail, mostly due to being crushed...

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Main Author: Tomasz Lewowski
Format: Article
Language:English
Published: Lublin University of Technology 2020-09-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/1512
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spelling doaj-5ac0bf6e7e544de78973627ee77643e92020-11-25T02:49:01ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 2083-01572391-67612020-09-0110310.35784/iapgos.1512SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDYTomasz Lewowski0Wrocław University of Science and Technology, Faculty of Computer Science and Management, Department of Applied Informatics, Wrocław, Poland; Octant sp. z o.o., www.octant.pl This paper is a case study of the development of a localization and positioning subsystem of an Automated Guided Vehicle-based transportation system. The described system uses primarily RFID markers for localization. In some deployments, those markers occasionally fail, mostly due to being crushed by cargo platforms operated by a human or due to internal defects. Those failures are not common enough to warrant switching from marker-based localization to a more sophisticated technique, but they require additional effort from maintenance staff. In this case study, we present our solution to this problem – a self-tuning algorithm that is able to detect marker failures and, in most cases, keep the system operational. The paper briefly discusses business circumstances under which such a solution is reasonable and then describes in detail the entire technical process, including data acquisition, verification, algorithm development and finally, the result of deploying the system in production. https://ph.pollub.pl/index.php/iapgos/article/view/1512Industrial controlUnmanned vehiclesFault toleranceMaintenance
collection DOAJ
language English
format Article
sources DOAJ
author Tomasz Lewowski
spellingShingle Tomasz Lewowski
SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Industrial control
Unmanned vehicles
Fault tolerance
Maintenance
author_facet Tomasz Lewowski
author_sort Tomasz Lewowski
title SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
title_short SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
title_full SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
title_fullStr SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
title_full_unstemmed SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY
title_sort solving the failing track marker problem in automated guided vehicle systems – a case study
publisher Lublin University of Technology
series Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
issn 2083-0157
2391-6761
publishDate 2020-09-01
description This paper is a case study of the development of a localization and positioning subsystem of an Automated Guided Vehicle-based transportation system. The described system uses primarily RFID markers for localization. In some deployments, those markers occasionally fail, mostly due to being crushed by cargo platforms operated by a human or due to internal defects. Those failures are not common enough to warrant switching from marker-based localization to a more sophisticated technique, but they require additional effort from maintenance staff. In this case study, we present our solution to this problem – a self-tuning algorithm that is able to detect marker failures and, in most cases, keep the system operational. The paper briefly discusses business circumstances under which such a solution is reasonable and then describes in detail the entire technical process, including data acquisition, verification, algorithm development and finally, the result of deploying the system in production.
topic Industrial control
Unmanned vehicles
Fault tolerance
Maintenance
url https://ph.pollub.pl/index.php/iapgos/article/view/1512
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