With the expansion of the industrial Internet, an increasing array of devices such as industrial cameras and monitors are being integrated into industrial networks, leading to substantial demands for image transmission. Current industrial networks, however, are struggling to keep up with these demands, highlighting the urgent need for innovative solutions. In this paper, we introduce a novel image transmission system designed specifically for the downstream tasks of the industrial Internet. Our system leverages cutting-edge semantic communication and joint source-channel coding technologies to optimize the unique characteristics of industrial networks. This approach not only improves communication performance and resource utilization but also supports the downstream tasks of the industrial sector without disruption. We have extensively tested this method in actual industrial environments to verify its practicality and effectiveness.

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Image Semantic Transmission Method for Downstream Tasks of Industrial Internet

  • Yanpeng Lu,
  • Shengshi Yao,
  • Kai Niu,
  • Chao Dong

摘要

With the expansion of the industrial Internet, an increasing array of devices such as industrial cameras and monitors are being integrated into industrial networks, leading to substantial demands for image transmission. Current industrial networks, however, are struggling to keep up with these demands, highlighting the urgent need for innovative solutions. In this paper, we introduce a novel image transmission system designed specifically for the downstream tasks of the industrial Internet. Our system leverages cutting-edge semantic communication and joint source-channel coding technologies to optimize the unique characteristics of industrial networks. This approach not only improves communication performance and resource utilization but also supports the downstream tasks of the industrial sector without disruption. We have extensively tested this method in actual industrial environments to verify its practicality and effectiveness.