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

: 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.

• Publication year

  2022

• Venue

  International Conference on Innovative Intelligent Industrial Production and Logistics

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.5220/0011583100003329
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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