Visual Monitoring System for Small and Medium-sized Automatic Production Lines

被引：2
作者：
Wei D. [1 ]
Wang H. [1 ]
Liu L. [1 ]
机构：
[1] School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing
来源：
Wang, Huifen (nust8351121@126.com) | 1600年 / China Mechanical Engineering Magazine Office卷 / 31期
关键词：
Automatic production line; OPC(OLE for process control) technology; Production management; Visual monitoring;
D O I：
10.3969/j.issn.1004-132X.2020.11.012
中图分类号：
学科分类号：
摘要：
Aiming at the problems of difficulties in grasping of production process information in real-time and the low degree of visualization in automatic production lines, a visual monitoring system for small and medium-sized automatic production lines was studied. Based on the analyses of visual requirements of automated production lines, an overall technical framework of visual monitoring system was designed. The three key technologies of data acquisition and transmission for automated production lines based on OPC technology, construction of production line information model and visual monitoring were described based on production line layouts. Finally, a set of visual monitoring system was designed for an enterprise's automatic production line, which realized the functions of visual monitoring of production processes in automatic production lines and production line resource management. The feasibility and reliability of the system were verified in the practical applications of the enterprise. © 2020, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码：1351 / 1359
页数：8
相关论文
共 22 条
  • [1] WANG Yongxiang, Research and Development of Production Management Visualization System, (2011)
  • [2] KANG H S, LEE J Y, CHOI S, Et al., Smart Manufacturing: Past Research, Present Findings, and Future Directions [J], International Journal of Precision Engineering and Manufacturing: Green Technology, 3, pp. 111-128, (2016)
  • [3] MONOSTORI L, KADAR B, BAUERNHANSL T, Et al., Cyber-physical Systems in Manufacturing, CIRP Annals: Manufacturing Technology, 65, 2, pp. 621-641, (2016)
  • [4] PERMIN E, BERTELSMEIER F, BLUM M, Et al., Self-optimizing Production Systems, Procedia CIRP, 41, pp. 417-422, (2016)
  • [5] ZHANG Y, JIANG P, HUANG G, Et al., RFID-enabled Real-time Manufacturing Information Tracking Infrastructure for Extended Enterprises, Journal of Intelligent Manufacturing, 23, pp. 2357-2366, (2012)
  • [6] LI J, TAO F, CHENG Y, Et al., Big Data in Product Lifecycle Management[J], International Journal of Advanced Manufacturing Technology, 81, pp. 667-684, (2015)
  • [7] ZHONG R Y, LAN S, XU C, Et al., Visualization of RFID-enabled Shopfloor Logistics Big Data in Cloud Manufacturing[J], International Journal of Advanced Manufacturing Technology, 84, pp. 5-16, (2016)
  • [8] MAO W Q, HU Y G, HAN J L, Et al., Study on Data Collection in Production System Based on Key-node Model[C], 7th IEEE Conference on Industrial Electronics and Applications(ICIEA), pp. 2023-2028, (2012)
  • [9] LADE P, GHOSH R, SRINIVASAN S., Manufacturing Analytics and Industrial Internet of Things, IEEE Intelligent Systems, 32, pp. 74-79, (2017)
  • [10] CHACON GUILLERMO R., Electronic Kanban Worksheet for the Design and Implementation of Virtual or Electronic Kanban System
123