An Optical Access Network Framework for Smart Factory in the Industry 4.0 Era Supporting Massive Machine Connections

被引：0

作者：

Guo, Zidong ^{[1
]}

Zhang, Kuo ^{[1
]}

Xin, Haiyun ^{[1
]}

Bi, Meihua ^{[1
]}

He, Hao ^{[1
]}

Hu, Weisheng ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Shanghai 200240, Peoples R China

来源：

2017 16TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS & NETWORKS (ICOCN 2017) | 2017年

关键词：

Industry; 4.0; CPS; high branching ratio;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We proposed an optical access network for the deployment of CPS and the realization of smart factories aim for Industry 4.0. Through the distributed optical network, factory control center can virtualize machines, thereby realizing machine co-operation and monitoring product quality, which is the foundation of deploying CPS and realizing smart factory. While the optical access network provides a networking framework for smart factories, the massive machines call for high branching ratio. Hence, we demonstrate a high branching ratio PON which is able to support more than 131,072 machines.

引用

页数：3

共 13 条

[1] Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0 †
Kalsoom, Tahera
Ramzan, Naeem
Ahmed, Shehzad
Ur-Rehman, Masood
[J]. SENSORS, 2020, 20 (23) : 1 - 22
[2] Augmented Reality in the Smart Factory Supporting Workers in an Industry 4.0. Environment
Paelke, Volker
[J]. 2014 IEEE EMERGING TECHNOLOGY AND FACTORY AUTOMATION (ETFA), 2014,
[3] A hybrid model of implementing a smart production factory within the Industry 4.0 framework
Samani, Armin
Saghafi, Fatemeh
[J]. JOURNAL OF MODELLING IN MANAGEMENT, 2024, 19 (01) : 215 - 239
[4] Designing and Developing a Smart Yogurt Filling Machine in the Industry 4.0 Era
Salah, Bashir
Alsamhan, Ali M.
Khan, Sajjad
Ruzayqat, Mohammed
[J]. MACHINES, 2021, 9 (11)
[5] IEEE ACCESS SPECIAL SECTION EDITORIAL: KEY TECHNOLOGIES FOR SMART FACTORY OF INDUSTRY 4.0
Wan, Jiafu
Xia, Min
Hong, Jun
Pang, Zhibo
Jayaraman, Bharat
Shen, Fangyang
[J]. IEEE ACCESS, 2019, 7 : 17969 - 17974
[6] The Sensor Network for Multi-agent System Approach in Smart Factory of Industry 4.0
Setiawan, A.
Silitonga, R. Y. H.
Angela, D.
Sitepu, H., I
[J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE AND MECHANICAL ENGINEERING, 2020, 17 (04) : 8255 - 8264
[7] Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory
Kuo, Cheng-Ju
Ting, Kuo-Cheng
Chen, Yi-Chung
Yang, Don-Lin
Chen, Hsi-Min
[J]. JOURNAL OF SYSTEMS ARCHITECTURE, 2017, 81 : 44 - 53
[8] Metrology & Industry 4.0: Deploying optical technology and process control solutions to the smart factory floor
de Groot, Peter J.
Schmidt, Michael
[J]. PhotonicsViews, 2021, 18 (04) : 73 - 75
[9] A smart PLC-SCADA framework for monitoring petroleum products terminals in industry 4.0 via machine learning
Rashad, Ossama
Attallah, Omneya
Morsi, Iman
[J]. MEASUREMENT & CONTROL, 2022, 55 (7-8): : 830 - 848
[10] Demonstration of a 5G Multi-access Edge Cloud Enabled Smart Sorting Machine for Industry 4.0
Kropp, Alexander
Schmoll, Robert-Steve
Nguyen, Giang T.
Fitzek, Frank H. P.
[J]. 2019 16TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2019,

← 1 2 →