Research on IIoT Cloud-Edge Collaborative Stream Processing Architecture for Intelligent Factory

Intelligent factories (IF) represented by unmanned workshops and light out workshops point out the development direction of future industrial production which is known as Industrial Internet of Things (IIoT) and cloud-edge collaborative services. IIoT must concurrently send various types of data in real time to the cloud for adequately analyzing and processing the data to support the intelligent decision-making needs of IF, which makes massive highly concurrent heterogeneous data streams. The traditional IIoT platform of directly connecting devices to the cloud, which cannot satisfy the high concurrency heterogeneous data stream transmission requirements of IF, result in data loss and high latency. In this article, cloud-edge collaborative stream processing architecture is proposed for efficiently processing high concurrency heterogeneous data streams generated by IIoT in the production process with reliable, confidential, and low latency data transmission from devices to edges and clouds. The real-time display of AGV status and workshop environment through the cloud-edge collaborative stream processing platform prototype system has demonstrated that the latency of data stream transmission processing is millisecond level, fully satisfying the practical application requirements of IF.

• Publication year

  2023

• Venue

  2023 IEEE Smart World Congress (SWC)

• Publication date

  2023-08-28

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/SWC57546.2023.10448584
• 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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