|
|
Design and implementation of software-defined industrial control system based on 5G |
WANG Jun-sheng1, LIU Jia-wei2, SUN Rui-qi1, ZHANG Yan1, WU Xiao-ning2, QIN Da-wei1 |
1. Ansteel Group Beijing Research Institute Co., Ltd., Beijing 100010, China; 2. Angang Group Automation Co., Ltd., Anshan 114001, Liaoning, China |
|
|
Abstract Equipment control in iron and steel field is usually performed by programmable logic controller (PLC). With the deepening of industrial intelligent transformation, PLC based on hardware cannot meet the needs of intelligent manufacturing. Therefore, a software-defined control system based on 5G cloud architecture is proposed. The system architecture, 5G communication network and cloud platform of software defined PLC are deeply studied, and the feasibility of cloud-based software-defined PLC control is verified through actual scenarios. The practical application results show that the system meets the requirements of high-performance access, transmission, calculation and storage of the industrial plant control system, and realizes the ability of unified cloud management and control of the whole process of industrial automation production.
|
Received: 10 August 2022
|
|
|
|
[1] |
王春梅,周东东,徐科,等. 综述钢铁行业智能制造的相关技术[J]. 中国冶金,2018,28(7):1.
|
[2] |
姚林,王军生. 钢铁流程工业智能制造的目标与实现[J]. 中国冶金,2020,30(7):1.
|
[3] |
刘文仲. 中国钢铁工业智能制造现状及思考[J]. 中国冶金,2020,30(6):1.
|
[4] |
王龙,冀秀梅,刘玠. 人工智能在钢铁工业智能制造中的应用[J]. 钢铁,2021,56(4):1
|
[5] |
李新创. 智能制造助力钢铁工业转型升级[J]. 中国冶金,2017,27(2):1.
|
[6] |
于勇. 唐钢智能制造的信息化架构设计[J]. 钢铁,2017,52(1):1
|
[7] |
邓万里. 智能制造视野下钢铁企业能源管控系统展望[J]. 钢铁,2020,55(11):1.
|
[8] |
李毅仁,李铁克. 基于大数据的钢铁智能制造体系架构[J]. 冶金自动化,2021,45(2):1.
|
[9] |
Zawra L M,Mansour H A,Eldin A T,et al. Utilizing the Internet of Things (IoT) technologies in the implementation of industry 4.0[C]//Proceedings of International Conference on Advanced Intelligent Systems and Informatics. Cham:Springer,2017:798.
|
[10] |
张建良,周芸,徐润生,等. 中国制造2025:推进钢铁企业智慧化[J]. 中国冶金,2016,26(2):1.
|
[11] |
夏元清. 云控制系统及其面临的挑战[J]. 自动化学报,2016,42(1): 1.
|
[12] |
王晓连,迟京东. 智能制造促进钢铁工业转型升级[J]. 冶金自动化,2018,42(3):1.
|
[13] |
刘颂,赵亚迪,甘丽,等. 烧结系统智能制造与大数据技术应用探讨[J]. 钢铁,2021,56(10):54.
|
[14] |
Mahmoud M S,Xia Yuanqing. The interaction between control and computing theories:New approaches[J]. International Journal of Automation and Computing,2017,14(3):254.
|
[15] |
杨威. 5G网络下的云计算运用分析[J]. 通信电源技术,2019,36(12):170.
|
[16] |
毕健有,王文成,王家旭. 5G技术在工业互联网中的应用研究[J]. 数字通信世界,2022(6):150.
|
[17] |
李福昌,王伟. 5G高低频组网协同机制与策略[J/OL]. 中兴通讯技术,2022,28(4):3 [2022-08-11]. https://www.zte.com.cn/china/about/magazine/zte-communications/2022/cn-202204/specialtopic/cn202204002.html.
|
[18] |
于青民,黄颖,汪卫国,等. “5G+工业互联网”行业应用综述[J]. 电信科学,2022,38(增刊1):36.
|
[19] |
唐海燕,刘锦文,王凯民,等. 连铸中间包加热技术及其冶金功能研究进展[J]. 金属学报,2021,57(10):1229.
|
[20] |
张国菊. 一种控制连铸中间包平衡的系统[J]. 山西冶金,2019(5):10.
|
|
|
|