Smart Manufacturing Monitoring System Based on Industrial IoT
- Yanping Zhang(corresponding author),
- Jianjun Yang
- ,
- University of North Georgia
Abstract
The Industrial Internet of Things (IIoT) has been extensively studied and applied across various industries. The integration of IoT, cloud computing, sensor technologies, and data processing has significantly advanced the digitization and automation of manufacturing processes. In automated manufacturing, the smooth operation of production along the line is essential for the overall efficiency and effectiveness of the system. This research proposes a smart factory monitoring system based on IIoT. We focus on the roles and functions of each component within the automated manufacturing environment, referred to as smart manufacturing. The proposed system integrates cloud services, smart sensors, data processing, and actuators/intelligent agents to work collaboratively, ensuring seamless operation of the automated production line. Simulation results demonstrate the effective and efficient design of the system and offer practical insights for implementing such a system across a wide range of industrial applications.
Bibliographic Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 177-182 (6 pages)Publication milestones
- Published - 2025
Publication status
Publisher
Institute of Electrical and Electronics Engineers Inc.Publication series
- Publication series name: 2025 10th International Conference on Frontiers of Signal Processing, ICFSP 2025
ISBN (Electronic)
9798331574420Publication IDs
- Scopus: 105033521886
