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Authors: Sergiy Melnyk 1 ; Shreya Tayade 1 ; Mervat Zarour 1 and Hans D. Schotten 1 ; 2

Affiliations: 1 Intelligent Networks, German Research Center for Artificial Intelligence, Kaiserslautern, Germany ; 2 Indtitute for Wireless Communication and Navigation, University of Kaiserslautern, Kaiserslautern, Germany

Keyword(s): Edge Cloud, Industrial Control, Wireless Closed Loop Control, AI based Channel Prediction, Communication Control Co-design, Multi-link Communication, Flexible Coding, Low Latency, High Reliability.

Abstract: An Edge cloud based industrial control systems set high requirements on the latency and reliability of wireless communication link. In order to improve the performance of the communication system, an approach of industrial control and communication co-design is proposed. The system consists out of three components; Artificial Intelligence(AI) control, Industrial control and Communication control. An AI predictive algorithm forecasts the expected signal strength and detects the potential coverage blind spots on a factory floor. Based on this, industrial control system adjusts the paths for AGVs in order to spatially as well as timely avoid the communication drops. The communication control manages the communication resources taking into consideration the present control requirements and AI predicted channel information. Besides, the communication system is enhanced by multi-RAT capability in order to further increase the communication reliability. The investigations show that AI based industrial control and communication co-design approach provides an increase of the reliability of communication link. Even more, the proposed system features the ability of reliability guarantee, based on the applications’ requirements. (More)

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Paper citation in several formats:
Melnyk, S.; Tayade, S.; Zarour, M. and Schotten, H. (2022). Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs. In Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM; ISBN 978-989-758-612-5; ISSN 2184-9285, SciTePress, pages 307-313. DOI: 10.5220/0011583100003329

@conference{etciim22,
author={Sergiy Melnyk. and Shreya Tayade. and Mervat Zarour. and Hans D. Schotten.},
title={Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs},
booktitle={Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM},
year={2022},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011583100003329},
isbn={978-989-758-612-5},
issn={2184-9285},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - ETCIIM
TI - Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs
SN - 978-989-758-612-5
IS - 2184-9285
AU - Melnyk, S.
AU - Tayade, S.
AU - Zarour, M.
AU - Schotten, H.
PY - 2022
SP - 307
EP - 313
DO - 10.5220/0011583100003329
PB - SciTePress