Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

被引：686

作者：

Chen, Baotong ^{[1
]}

Wan, Jiafu ^{[1
]}

Shu, Lei ^{[2
,3
]}

Li, Peng ^{[4
]}

Mukherjee, Mithun ^{[5
]}

Yin, Boxin ^{[6
]}

机构：

[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510641, Guangdong, Peoples R China

[2] Nanjing Agr Univ, Sch Engn, Nanjing 210014, Jiangsu, Peoples R China

[3] Univ Lincoln, Sch Engn, Lincoln, England

[4] Ostwestfalen Lippe Univ Appl Sci, Inst Ind IT, D-32657 Lemgo, Germany

[5] Guangdong Univ Petrochem Technol, Guangdong Prov Key Lab Petrochem Equipment Fault, Maoming 525000, Peoples R China

[6] Jiangxi Univ Sci & Technol, Sch Elect Engn & Automat, Ganzhou 314000, Peoples R China

来源：

IEEE ACCESS | 2018年 / 6卷

基金：

中国国家自然科学基金;

关键词：

Smart factory; big data; cloud computing; cyber-physical systems; industrial Internet of Things; SERVICE-ORIENTED ARCHITECTURE; CYBER-PHYSICAL SYSTEMS; RECONFIGURATION; COMMUNICATION; OPTIMIZATION; AUTOMATION; MANAGEMENT; ALGORITHM; INTERNET; DESIGN;

D O I：

10.1109/ACCESS.2017.2783682

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Due to the current structure of digital factory, it is necessary to build the smart factory to upgrade the manufacturing industry. Smart factory adopts the combination of physical technology and cyber technology and deeply integrates previously independent discrete systems making the involved technologies more complex and precise than they are now. In this paper, a hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer. In addition, we discussed the major issues and potential solutions to key emerging technologies, such as Internet of Things (IoT), big data, and cloud computing, which are embedded in the manufacturing process. Finally, a candy packing line was used to verify the key technologies of smart factory, which showed that the overall equipment effectiveness of the equipment is significantly improved.

引用

页码：6505 / 6519

页数：15

共 94 条

[1]

Adams M., 2012, ADAMS M BOMHOFF J PR, P1

[2]

Ontology-based reconfiguration agent for intelligent mechatronic systems in flexible manufacturing [J].

Alsafi, Yazen ;

Vyatkin, Valeriy .

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2010, 26 (04) :381-391

[3]

[Anonymous], 2016, ARXIV

[4]

[Anonymous], 2014, P 2014 IEEE EMERGING, DOI DOI 10.1109/ETFA.2014.7005215

[5]

[Anonymous], P 7 INT C EMB MULT C

[6]

Product development with data mining techniques: A case on design of digital camera [J].

Bae, Jae Kwon ;

Kim, Jinhwa .

EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (08) :9274-9280

[7]

Bagatin Marta., 2016, 2016 16th European Conference on Radiation and Its Effects on Components and Systems (RADECS), P1, DOI DOI 10.1109/WCNC.2016.7564812

[8]

Architecture Framework for Manufacturing System Design [J].

Benkamoun, Nadege ;

ElMaraghy, Waguih ;

Huyet, Anne-Lise ;

Kouiss, Khalid .

VARIETY MANAGEMENT IN MANUFACTURING: PROCEEDINGS OF THE 47TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2014, 17 :88-93

[9]

SDN and Virtualization Solutions for the Internet of Things:A Survey [J].

Bizanis, Nikos ;

Kuipers, Fernando A. .

IEEE ACCESS, 2016, 4 :5591-5606

[10]

Brettel M., 2014, International Journal of Science, Engineering and Technology, V8

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