An improved cyber-physical systems architecture for Industry 4.0 smart factories

The cyber-physical system is the core concept of Industry 4.0 for building smart factories. We can rely on the ISA-95 architecture or the 5C architecture to build the cyber-physical system for smart factories. However, both architectures emphasize more on vertical integration and less on horizontal integration. This article proposes the 8C architecture by adding 3C facets into the 5C architecture. The 3C facets are coalition, customer, and content. The proposed 8C architecture is a helpful guideline to build the cyber-physical system for smart factories. We show an example of designing and developing, on the basis of the proposed 8C architecture, a smart factory cyber-physical system, including an Industrial Internet of Things gateway and a smart factory data center running in the cloud environment.

[1]  Liang Hu,et al.  A Smart Home Architectural Design of Cyber Physical Systems , 2014 .

[2]  Jehn-Ruey Jiang,et al.  A Marker-Based Cyber-Physical Augmented-Reality Indoor Guidance System for Smart Campuses , 2016, 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

[3]  Edward A. Lee Cyber-physical Systems -are Computing Foundations Adequate? Position Paper for Nsf Workshop on Cyber-physical Systems: Research Motivation, Techniques and Roadmap , 1998 .

[4]  Meikang Qiu,et al.  Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data , 2017, IEEE Systems Journal.

[5]  Sherif Sakr,et al.  Handbook of Big Data Technologies , 2017 .

[6]  Andrea Fumagalli,et al.  Improving performance in industrial Internet of Things using multi-radio nodes and multiple gateways , 2017, 2017 International Conference on Computing, Networking and Communications (ICNC).

[7]  Sabina Jeschke,et al.  Industrial Internet of Things: Cybermanufacturing Systems , 2016 .

[8]  Milton Borsato,et al.  An ontology-based model for prognostics and health management of machines , 2017, J. Ind. Inf. Integr..

[9]  Damien Trentesaux,et al.  Emerging Key Requirements for Future Energy-Aware Production Scheduling Systems: A Multi-agent and Holonic Perspective , 2016, SOHOMA.

[10]  Carsten Bormann,et al.  The Constrained Application Protocol (CoAP) , 2014, RFC.

[11]  Anne L'Anton,et al.  Implementation framework for cloud-based holonic control of cyber-physical production systems , 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

[12]  José Antonio Sánchez,et al.  Wire Electrical Discharge Machines , 2009 .

[13]  Oliver Niggemann,et al.  Big Data and Machine Learning for the Smart Factory—Solutions for Condition Monitoring, Diagnosis and Optimization , 2017 .

[14]  S. Plaza,et al.  An Industrial System for Estimation of Workpiece Height in WEDM , 2015 .

[15]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[16]  Xu Xu,et al.  A Novel Weighted Centroid Localization Algorithm Based on RSSI for an Outdoor Environment , 2014, J. Commun..

[17]  Vineet Kumar,et al.  Optimization of process parameters for WEDM of Inconel 825 using grey relational analysis , 2018 .

[18]  Aitzol Lamikiz,et al.  Machine Tools for High Performance Machining , 2009 .

[19]  Rodrigo H. Murofushi,et al.  Towards fourth industrial revolution impact: smart product based on RFID technology , 2017, IEEE Instrumentation & Measurement Magazine.

[20]  Shing-Tsaan Huang,et al.  ALRD: AoA Localization with RSSI Differences of Directional Antennas for Wireless Sensor Networks , 2012, International Conference on Information Society (i-Society 2012).

[21]  Levent Gürgen,et al.  Self-aware cyber-physical systems and applications in smart buildings and cities , 2013, 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[22]  A. Pal,et al.  A smart transport application of cyber-physical systems: Road surface monitoring with mobile devices , 2012, 2012 Sixth International Conference on Sensing Technology (ICST).

[23]  Daniel Sonntag,et al.  Overview of the CPS for Smart Factories Project: Deep Learning, Knowledge Acquisition, Anomaly Detection and Intelligent User Interfaces , 2017 .

[24]  Huijun Gao,et al.  Aggregation and Charging Control of PHEVs in Smart Grid: A Cyber–Physical Perspective , 2016, Proceedings of the IEEE.

[25]  Prasant Misra,et al.  Building the Internet of Things with bluetooth smart , 2017, Ad Hoc Networks.

[26]  Robert Harrison,et al.  Industrial Cloud-Based Cyber-Physical Systems: The IMC-AESOP Approach , 2014 .