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Smart manufacturing relies heavily on data synchronization between plants and stakeholders for remote maintenance, plant monitoring, e-commerce, and data management. To optimize production time, it's crucial for system designers to prioritize the selection of network technology that facilitates this synchronization. Factors such as latency and network bandwidth should guide the choice of network technology, ensuring efficient data transfer. However, despite the significant role of Programmable Logic Controllers (PLCs) in automation within smart manufacturing, they lack certain functionalities found in the latest network technologies like 5G and wireless capabilities. This underscores the need for re-engineering smart manufacturing systems to incorporate these advanced features. The core objective of this project is to develop communication protocols for integrating 5G networks into PLC-driven smart factories. It involves identifying network performance parameters that impact production time and accurately measuring these parameters to assess the potential of 5G networks in enhancing production efficiency. The paper delves into the factors influencing production time in a PLC-driven smart water bottling plant and proposes an experimental setup to measure these factors effectively.

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Adaptation of 5G Technology in Programmable Logic Controller Automated Smart Manufacturing Plants to Improve Network Factors that Affect Production Time

  • 会议论文

  • 发表日期：

    2025年

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  • Rangith B. Kuriakose,
  • Humane J. Mokotjo

摘要

Smart manufacturing relies heavily on data synchronization between plants and stakeholders for remote maintenance, plant monitoring, e-commerce, and data management. To optimize production time, it's crucial for system designers to prioritize the selection of network technology that facilitates this synchronization. Factors such as latency and network bandwidth should guide the choice of network technology, ensuring efficient data transfer. However, despite the significant role of Programmable Logic Controllers (PLCs) in automation within smart manufacturing, they lack certain functionalities found in the latest network technologies like 5G and wireless capabilities. This underscores the need for re-engineering smart manufacturing systems to incorporate these advanced features. The core objective of this project is to develop communication protocols for integrating 5G networks into PLC-driven smart factories. It involves identifying network performance parameters that impact production time and accurately measuring these parameters to assess the potential of 5G networks in enhancing production efficiency. The paper delves into the factors influencing production time in a PLC-driven smart water bottling plant and proposes an experimental setup to measure these factors effectively.