A heterogeneous large-scale parallel SCADA/DCS architecture in 5G OGCE

Based on the fifth generation mobile communication (5G), and 5G open grid computing environment (5G OGCE), an architecture of heterogeneous large-scale parallel supervisory control and data acquisition/distributed control systems (SCADA/DCS) system of systems (SoS) is presented. Its purpose is to supervise and control and acquire data of process function value of operating electricity, water, air and gas, in natural disasters and accidents caused by incorrectly using them. This architecture, compared with NASA's architecture decomposition of space exploration systems, and with Smart Grid Architecture Model (SGAM), is more suitable for mining and ocean engineering, especially sea-wave power plants, and operating and controlling of processing water, electricity, gas, and air systems in parallel. The architecture can act as a framework for factory automation in 5G OGCE. By using heterogeneous concurrent agents (HCA) in concurrent enterprise (CE), this architecture can realize cyber manufacturing system supported by cloud computing.

[1]  Charles R Farrar,et al.  Damage prognosis: the future of structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  Lionel Tarassenko,et al.  Static and dynamic novelty detection methods for jet engine health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[3]  Jay Lee,et al.  Introduction to cyber manufacturing , 2016 .

[4]  Karen A. Scarfone,et al.  Guide to Industrial Control Systems (ICS) Security , 2015 .

[5]  Rumen Kyusakov,et al.  Migration of SCADA/DCS Systems to the SOA Cloud , 2014 .

[6]  Esther Jennings,et al.  Architecting the Communication and Navigation Networks for NASA's Space Exploration Systems , 2007, 2007 IEEE International Conference on System of Systems Engineering.

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

[8]  V. Vyatkin,et al.  Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes , 2012, IEEE Transactions on Industrial Electronics.

[9]  Mark Stefan,et al.  Provisioning, deployment, and operation of smart grid applications on substation level , 2016, Computer Science - Research and Development.

[10]  Hongwei Du,et al.  Self-healing Control Technology for Distribution Networks , 2017 .

[11]  Lars Nordström,et al.  Smart Grid Architecture Model use case management in a large European Smart Grid project , 2013, IEEE PES ISGT Europe 2013.

[12]  James Northcote-Green,et al.  Control and automation of electrical power distribution systems , 2006 .

[13]  Stuart G McCrady.  Designing SCADA Application Software: A Practical Approach , 2013 .

[14]  Stamatis Karnouskos,et al.  Architecting the next generation of service-based SCADA/DCS system of systems , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.