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Research on Deterministic Communication Model for Industrial Internet Based on OPC UA-TSN

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Published:10 April 2023Publication History

ABSTRACT

The Industrial Internet accelerates the network integration and collaborative communication of IT and OT, and has become the critical technical support for smart factories. Using OPC UA as the industrial network communication infrastructure can realize the interconnection and intercommunication of heterogeneous network devices, breaking information islands and data barriers. However, with the diversification of industrial data types and the continuous increase of data volume, the single communication mode based on OPC UA has poor performance in real-time data transmission and high network delay. It is difficult to meet high real-time and high reliability requirements. Aiming at the above problems, this paper proposes a deterministic communication model for Industrial Internet based on OPC UA-TSN. Integrate the two communication architectures of OPC UA and TSN, and use OPC UA as the communication specification for heterogeneous network devices to realize the interconnection and intercommunication of the underlying industrial network. We use TSN to replace traditional industrial Ethernet as the network data transmission medium to ensure the deterministic transmission of time-sensitive data. In addition, an OPC UA-TSN message mapping method and an OPC UA-TSN network configuration scheme are constructed to realize the intercommunication between OPC UA and TSN. At the same time, we propose a frame-preemptive dynamic scheduling algorithm for TSN (FPDS), which reasonably allocates bandwidth resources to each priority data stream. The experimental results show that this model realizes the network communication between OPC UA and TSN. It can schedule different types of data streams, effectively reducing the transmission delay of time-sensitive data. This model ensures the efficient utilization of TSN queues and improves the quality of service level of the smart factory communication network.

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  • Published in

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    ICITEE '22: Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering
    November 2022
    739 pages
    ISBN:9781450396806
    DOI:10.1145/3582935

    Copyright © 2022 ACM

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    Publication History

    • Published: 10 April 2023

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