Publication
Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs
Sergiy Melnyk; Shreya Tayade; Mervat Zarour; Hans Dieter Schotten
In: 3rd International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2022). International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL-2022), October 24-26, Valletta, Malta, ISBN 978-989-758-612-5; ISSN: 2184-9285, SCITEPRESS–Science and Technology Publications, 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.