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Academic Career Length
19Years (2008-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 June 2016 in Computer Networks
Journal Article
SWShiyong Wang
Shiyong Wang
JWJiafu Wan
Jiafu WanDZDaqiang Zhang
Daqiang Zhang
DLDi Li
Di Li
CZChunhua Zhang
Chunhua Zhang
1 January 2016 in International Journal of Distributed Sensor Networks
Journal Article
With the application of Internet of Things and services to manufacturing, the fourth stage of industrialization, referred to as Industrie 4.0, is believed to be approaching. For Industrie 4.0 to come true, it is essential to implement the horizontal integration of inter-corporation value network, the end-to-end integration of engineering value chain, and the vertical integration of factory inside. In this paper, we focus on the vertical integration to implement flexible and reconfigurable smart factory. We first propose a brief framework that incorporates industrial wireless networks, cloud, and fixed or mobile terminals with smart artifacts such as machines, products, and conveyors. Then, we elaborate the operational mechanism from the perspective of control engineering, that is, the smart artifacts form a self-organized system which is assisted with the feedback and coordination blocks that are implemented on the cloud and based on the big data analytics. In addition, we outline the main technical features and beneficial outcomes and present a detailed design scheme. We conclude that the smart factory of Industrie 4.0 is achievable by extensively applying the existing enabling technologies while actively coping with the technical challenges.
17 June 2014 in Wireless Networks
Journal Article
QJQi Jing
Qi Jing
AVAthanasios V. Vasilakos
Athanasios V. Vasilakos
JWJiafu Wan
Jiafu WanJLJingwei Lu
Jingwei Lu
DQDechao Qiu
Dechao Qiu
14 December 2017 in IEEE Access
Journal Article
Baotong ChenJWJiafu Wan
Jiafu WanLSLei Shu
Lei ShuPLPeng Li
Peng Li
MMMithun Mukherjee
Mithun Mukherjee
BYBoxing Yin
Boxing Yin
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 firstly, 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 (OEE) of the equipment is significantly improved.
26 November 2015 in Wireless Networks
Journal Article
XLXiaomin Li
Xiaomin Li
DLDi Li
Di Li
JWJiafu Wan
Jiafu WanAVAthanasios V. Vasilakos
Athanasios V. Vasilakos
Chin-Feng LaiSWShiyong Wang
Shiyong Wang
10 May 2016 in IEEE Sensors Journal
Journal Article
JWJiafu Wan
Jiafu WanSTShenglong Tang
Shenglong Tang
ZSZhaogang Shu
Zhaogang Shu
DLDi Li
Di Li
SWShiyong Wang
Shiyong Wang
AVAthanasios V. Vasilakos
Athanasios V. Vasilakos
+1
In recent years, there have been great advances in industrial Internet of Things (IIoT) and its related domains, such as industrial wireless networks (IWNs), big data, and cloud computing. These emerging technologies will bring great opportunities for promoting industrial upgrades and even allow the introduction of the fourth industrial revolution, namely, Industry 4.0. In the context of Industry 4.0, all kinds of intelligent equipment (e.g., industrial robots) supported by wired or wireless networks are widely adopted, and both real-time and delayed signals coexist. Therefore, based on the advancement of software-defined networks technology, we propose a new concept for industrial environments by introducing software-defined IIoT in order to make the network more flexible. In this paper, we analyze the IIoT architecture, including physical layer, IWNs, industrial cloud, and smart terminals, and describe the information interaction among different devices. Then, we propose a software-defined IIoT architecture to manage physical devices and provide an interface for information exchange. Subsequently, we discuss the prominent problems and possible solutions for software-defined IIoT. Finally, we select an intelligent manufacturing environment as an assessment test bed, and implement the basic experimental analysis. This paper will open a new research direction of IIoT and accelerate the implementation of Industry 4.0.
About Me
Prof. Dr. Jiafu Wan has been a professor of the School of Mechanical & Automotive Engineering at South China University of Technology (SCUT) since September 2015. He joined SCUT in May 2014. He received his PhD in Mechatronic Engineering from SCUT in 2008. From July 2003 to April 2014, he served as an assistant lecturer, lecturer, and associate professor at Guangdong Mechanical & Electrical College, Guangzhou, China. From 2008 to 2011, he was a postdoctorate of Computer Science and Engineering at SCUT. In 2010, he became an Associate Research Fellow and a Provincial Talent cultivated by the “Thousand-Hundred-Ten” Program of Guangdong Province, China. He was listed as a Highly Cited Researcher by Clarivate Analytics (2019-2023) and included in Stanford's List of the World's Top 2% Scientists (2020-2023), and he was also named a Highly Cited Chinese Researcher by Elsevier (2020-2022). He has directed 20 research projects, including the National Key Research and Development Program of China, the Joint Fund of the National Natural Science Foundation of China and Guangdong Province, and the Guangdong Province Key Areas R&D Program. He serves as a managing editor for IJAACS and IJART. His research interests include cyber-physical Systems, the Industrial Internet of Things, digital twins, big data analytics, Industry 4.0, smart factories, fault diagnosis, and industrial robotics. He is an editorial board member for Computer Integrated Manufacturing Systems.