Energy Consumption Data Collection and Supervision Systems of Forging Workshops with OPC Unified Architecture

被引：0
|
作者：
Jiao Y. [1 ]
Li L. [1 ]
Nie H. [2 ]
Zhou L. [2 ]
Chen X. [1 ]
Li T. [2 ]
机构：
[1] College of Engineering and Technology, Southwest University, Chongqing
[2] Chongqing Changzheng Heavy Industry Co., Ltd., China Shipbuilding Industry Company Limited, Chongqing
来源：
Li, Li (swulili@swu.edu.cn) | 1600年 / Chinese Mechanical Engineering Society卷 / 32期
关键词：
Corporate supervision; Data collection; Energy consumption; Forging shop; Object linking and embedding(OLE) for process control unified architecture(OPC UA);
D O I：
10.3969/j.issn.1004-132X.2021.20.012
中图分类号：
学科分类号：
摘要：
Aiming at the characteristics of multi-source heterogeneous data in forging workshops, and current situation of information silos and difficulties in interconnection among equipment, a set of energy consumption data and monitoring systems for forging workshops was proposed. Combined with specific requirements of the systems in combination with data characteristics of the workshops, network architecture of data perception and transmission according to field layout was designed, and an information interaction model was established with OPC UA. Finally, taking a forging workshop as application object, a collection of consumption data and statistical supervision of information in the entire processes of forging actual productions was realized. © 2021, China Mechanical Engineering Magazine Office. All right reserved.
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页码：2492 / 2500
页数：8
相关论文
共 18 条
  • [1] ZHENG Wenda, QUAN Xiaohui, LI Junhui, Development History and Trend of Forging Hydraulic Press, Heavy Machinery, 3, pp. 2-10, (2012)
  • [2] XU Shusen, REN Yunlai, QI Zuoyu, Technique Development of Forming the Marine Crankshaft Forgings, Heavy Castings and Forgings, 1, pp. 19-22, (2018)
  • [3] LI Na, YIN Xigang, LIU Jing, Et al., Application of Forging Simulation and Thermal Simulation Technology in Precision Forging of Aero-engine Blade, Aeronautical Manufacturing Technology, 61, 15, pp. 59-62, (2018)
  • [4] DOWNEY J, BOMBINSKI S, NEJMAN M, Et al., Automatic Multiple Sensor Data Acquisition System in a Real-time Production Environment, Procedia CIRP, 33, pp. 215-220, (2015)
  • [5] ZHANG Yingfeng, MA Shuaiyin, YANG Haidong, Et al., A Big Data Driven Analytical Framework for Energy-intensive Manufacturing Industries, Journal of Cleaner Production, 197, pp. 57-72, (2018)
  • [6] ENSTE U, MAHNKE W., OPC Unified Architecture, Automatisierungstechnik, 59, 7, pp. 397-404, (2011)
  • [7] MOURTZIS D, MILAS N, VLACHOU A., An Internet of Things-based Monitoring System for Shop-floor Control, Journal of Computing & Information Science in Engineering, 18, 2, (2018)
  • [8] PAOLO F, ALESSANDRA F, STEFANO R, Et al., Impact of Quality of Service on Cloud Based Industrial IoT Applications with OPC UA, Electronics, 7, 7, (2018)
  • [9] CAVALIERI S, STEFANO D D, SALAFIA M G, Et al., Integration of OPC UA into a Web-based Platform to Enhance Interoperability, 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), pp. 1206-1211, (2017)
  • [10] LIU C, VENGAYIL H, LU Y, Et al., A Cyber-physical Machine Tools Platform Using OPC UA and MT Connect, Journal of Manufacturing Systems, 51, pp. 61-74, (2019)
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