Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs

Sergiy Melnyk, Shreya Tayade, Mervat Zarour, Hans Schotten, Hans Schotten

2022

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.

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Paper Citation


in Harvard Style

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 - Volume 1: ETCIIM, ISBN 978-989-758-612-5, pages 307-313. DOI: 10.5220/0011583100003329


in Bibtex Style

@conference{etciim22,
author={Sergiy Melnyk and Shreya Tayade and Mervat Zarour and Hans 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 - Volume 1: ETCIIM,},
year={2022},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011583100003329},
isbn={978-989-758-612-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: ETCIIM,
TI - Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs
SN - 978-989-758-612-5
AU - Melnyk S.
AU - Tayade S.
AU - Zarour M.
AU - Schotten H.
PY - 2022
SP - 307
EP - 313
DO - 10.5220/0011583100003329