TY - GEN
T1 - Research on IIoT Cloud-Edge Collaborative Stream Processing Architecture for Intelligent Factory
AU - Lee, Ruizhi
AU - Zhang, Mingyang
AU - Yan, Jihong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - cloud-edge collaboration
KW - industrial internet of things
KW - intelligent factory
KW - stream processing
UR - https://www.scopus.com/pages/publications/85187351572
U2 - 10.1109/SWC57546.2023.10448584
DO - 10.1109/SWC57546.2023.10448584
M3 - 会议稿件
AN - SCOPUS:85187351572
T3 - Proceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023
BT - Proceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Smart World Congress, SWC 2023
Y2 - 28 August 2023 through 31 August 2023
ER -