Design of Cloud Control System for Supply-oils of color Offset Press

Traditional control method of printing-oils for color offset press is usually based on a single computer system, which has many inconveniences in realizing remote control and centralized management. We designed a CMYK oil-supply control system based on cloud, edge and end-devices. The system is divided into clouds layers, the edge layer and the field equipment layer. The computer is used as the server of the cloud layer and the edge node of the edge layer, design a visual interface through LabVIEW software. STM32 is used as the core controller of the master station and the slave station of the field equipment layer. The STM32 of the master station is transplanted with μC/OS-Ⅲ operating system and LwIP protocol Stack. The master station is connected with the slave station by RS485 bus, and it is connected with the edge node by Ethernet, which realized multi-task scheduling and completed the protocol conversion. Experiments show that system has reduced the delay of transmission by 80% compared to the traditional technology, and the control precision of supply-oil-keys have increased some, at the same time, it also has better performance in real-time and reliability.

REFERENCES

[1] J. Zhang, Y. Zhao and B. Chen, “A Review of Edge Computing Data Security and Privacy Protection,” Journal of Communications, vol. 39, no. 3, pp. 1-21, 2018.
[2] Q. Wang, G. Jin, Q. Li, K. Wang, Z. Yang and H. Wang, “Research Status and Prospect of Industrial Edge Computing,” Information and Control,vol. 50, no. 3, pp. 257-274, 2021.
[3] Y. Chen, J. Hu, “Industrial application based on edge computing: automatic guided vehicle control system,” Computer Integrated Manufacturing Systems, vol. 25, no. 12, pp. 3191-3198, 2019.
[4] C. Peng, X. Tang and J. Lu, “Bearing fault diagnosis based on edge computing,” Modular Machine Tool & Automatic Manufacturing Technique, pp. 52-55, Dec 2020.
[5] J. Qian, B. Duan, W. Xie and Y. Zhao, "Edge Computing for Brightness and Color Temperature of Smart Streetlight," 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), pp. 699-703, 2021.
[6] R. Wang, Y. Liu, P. Zhang, X. Kang and X. Li, “A collaborative entity search method based on edge cloud for Internet of Things,” Computer Engineering, vol. 46, no. 8, pp. 43-49, 2020.
[7] P. K. Sharma, S. Rathore, Y. Jeong and J. H. Park, "SoftEdgeNet: SDN Based Energy-Efficient Distributed Network Architecture for Edge Computing," in IEEE Communications Magazine, vol. 56, no. 12, pp. 104-111, Dec 2018, doi: 10.1109/MCOM.2018.1700822.
[8] X. Wan , Z. Jiao, M. Liu and D. Liu, “A review of industrial Internet applications,” J. Digital Printing, vol. 4, no. 2, pp. 1-26, 2021.
[9] Z. Chen , J. Yang, “Design and Implementation of Embedded Device Web Server Based on LwIP,” J. Electronic Design Engineering, vol. 26, no. 11, pp. 110-113, 2018.
[10] L. Qin, T. Wang and X. Hu, “Design of Remote Control Electromagnetic Lock for Mobile Phone Based on ARM9 and WIFI,” J. Electronic Design Engineering, vol. 28, no. 12, pp. 153-156, 2020.
[11] Q. Zhang, P. Gao and X. Li, “An intelligent water quality detector design,” Foreign Electronic Measurement Technology, vol. 40, no. 2, pp. 112-115, 2021.
[12] Y. Qin, W. Li and P. Fang, “Design of laboratory air Monitoring and purification System based on STM32,” J. Electronic Design Engineering, vol. 27, no. 24, pp. 94-98, 2019.
[13] URREA C, MORALES C, KERN J, “Implementation of error detection and correction in the Modbus-RTU serial protocol,” International Journal of Critical InfrastructureProtection, pp. 27-37, Dec 2016.
[14] TITAEV A, “Reducing update data time for exchange via MODBUS TCP protocol by controlling a frame length,” Automatic Control and Computer Sciences, vol. 51, no. 5, pp. 356-365, 2017.
[15] Z. Wang, X. Zhou and H. Lin, “Design of Universal Real-time Thermocouple Temperature Measuring Sequence for Rotation Scheduling,” Instrument Technique and Sensor, pp. 23-27, Sep 2019.
[16] L. Li, H. Jin, X. Sun and L. Li, “Design of Intelligent Building Gateway Based on Edge Computing and Priority Classification,” J. Modern Electronics Technique, vol. 44, no. 6, pp. 67-71, 2021.