An Integrated Industrial Ethernet Solution for the Implementation of Smart Factory

Smart factory addresses the vertical integration of physical entities and information systems. Network and cloud are two essential infrastructures to achieve this goal. Among them, the network provides interconnection for communication and data flow, while the cloud provides powerful and elastic computing and storage abilities for big data and intelligent applications. This paper presents a cloud-centric framework for the implementation of the smart factory. Based on this framework, three high leveled protocols viz., EtherCAT, DDS, and OPC UA are selected to implement machine network (controller to sensors/actuators communication), machine to machine communication, and machine to cloud communication respectively, to satisfy diverse communication requirements of the smart factory. An integrated architecture for combining ontology knowledge and semantic data to support intelligent applications is also proposed. These network and data process schemes are verified in a smart factory prototype for personalized candy packing application.

[1]  H. Buttner,et al.  Real-time ethernet the EtherCAT solution , 2004 .

[2]  Stefano Russo,et al.  Performance assessment of OMG compliant data distribution middleware , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

[3]  Armando W. Colombo,et al.  SOA at device level in the industrial domain: Assessment of OPC UA and DPWS specifications , 2010, 2010 8th IEEE International Conference on Industrial Informatics.

[4]  Detlef Zühlke,et al.  SmartFactory - Towards a factory-of-things , 2010, Annu. Rev. Control..

[5]  Gianluca Cena,et al.  Evaluation of EtherCAT Distributed Clock Performance , 2012, IEEE Transactions on Industrial Informatics.

[6]  Xuedong Liang,et al.  A Taxonomy of Agent Technologies for Ubiquitous Computing Environments , 2012, KSII Trans. Internet Inf. Syst..

[7]  Xun Xu,et al.  From cloud computing to cloud manufacturing , 2012 .

[8]  Daqiang Zhang,et al.  Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination , 2016, Comput. Networks.

[9]  Jiafu Wan,et al.  Cloud-based smart manufacturing for personalized candy packing application , 2016, The Journal of Supercomputing.

[10]  Jiafu Wan,et al.  Implementing Smart Factory of Industrie 4.0: An Outlook , 2016, Int. J. Distributed Sens. Networks.

[11]  Hao Tang,et al.  A big data enabled load-balancing control for smart manufacturing of Industry 4.0 , 2017, Cluster Computing.

[12]  Neoklis Polyzotis,et al.  Data Management Challenges in Production Machine Learning , 2017, SIGMOD Conference.

[13]  Athanasios V. Vasilakos,et al.  A Manufacturing Big Data Solution for Active Preventive Maintenance , 2017, IEEE Transactions on Industrial Informatics.

[14]  Athanasios V. Vasilakos,et al.  A review of industrial wireless networks in the context of Industry 4.0 , 2015, Wireless Networks.