Abstract
Currently, challenges for shop floor management are the lack of timely, accurate and consistent information. Production decision-making is constrained to low transparency. The paper proposes a real-time visualization system based on Internet of manufacturing things to fill this gap. The proposed system involves architecture and operation mode of the shop floor real-time visualization management, an information integration framework and related visualization technologies used to optimize the system performance. The system with these visualization and data integration technologies has been applied in the case study and shows the feasibility. It implements the global monitor of manufacturing shop floor and improves the management efficiency. Furthermore, the presented integration method related to the system state and sensor information can process a large number of sensor data and convert them into readable information in real time. This method is beneficial to increase the speed of information integration and reduce system delay.










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Abbreviations
- IoMT:
-
Internet of manufacturing things
- IoT:
-
Internet of things
- RFID:
-
Radio frequency identification
- WSNs:
-
Wireless sensor networks
- AR:
-
Augmented reality
- WIP:
-
Work in product
- MQ:
-
Message queue
- FIFO:
-
First in first out
- R&D:
-
Research and development
- AGV:
-
Automated guided vehicle
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Acknowledgements
First, we thank Dr. Liu Jian and Dr. Shao Xuesong who are two directors of Jiangsu Electric Power Company Research Institute, for the experiments and valuable discussion. This work was supported by (1) Jiangsu Key Laboratory of Precision and Micro-Manufacturing Technology and the Key Technology R&D Programme of Jiangsu Province of China (Grant No. BE2016004-3). (2) University–industry cooperation prospective joint research project of Jiangsu Province (Grant No. BY2015003-11).
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Qian, X., Tu, J. & Lou, P. A general architecture of a 3D visualization system for shop floor management. J Intell Manuf 30, 1531–1545 (2019). https://doi.org/10.1007/s10845-017-1335-1
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DOI: https://doi.org/10.1007/s10845-017-1335-1