Journals / Turkish Journal of Science and Technology / 2021 / Cilt: 16 - Sayı: 1

Industrial Automation and Edge Computing SCADA PLC PAC IO-LINK-2

Pages
179–185
Publication Date
2021-03-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

With this study, four important architectural solutions that help to optimize resource usage on the edge computing platform for industrial applications are proposed and analyzed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Increasing interest in Industry 4.0 applications has brought with it many new technologies and strategies for processing all kinds of production-related data, which are at the center of this trend.
📊
Key Findings & Data:Although many of these technologies are not very new, they have not yet reached sufficient recognition in the industry.
💡
Conclusion & Impact:With this study, four important architectural solutions that help to optimize resource usage on the edge computing platform for industrial applications are proposed and analyzed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Edge computing · industrial automation · SCADA

Abstract

Increasing interest in Industry 4.0 applications has brought with it many new technologies and strategies for processing all kinds of production-related data, which are at the center of this trend. Although many of these technologies are not very new, they have not yet reached sufficient recognition in the industry. The term edge computing is among the concepts that need to be clarified in this context. Edge computing draws local intelligence and data processing capability to the parts of the communication network close to the end devices such as pumps, motors, sensors, relays that produce data, and performs the analysis of the data without the need to transfer it somewhere. However, this process also has difficulties. Edge computing architectures in industrial applications need to address bandwidth, management complexity, latency, and network security risks. With this study, four important architectural solutions that help to optimize resource usage on the edge computing platform for industrial applications are proposed and analyzed.

🔖

Cite This Article

TOPALOĞLU, F. (2021). Industrial Automation and Edge Computing SCADA PLC PAC IO-LINK-2. Turkish Journal of Science and Technology, Cilt: 16 - Sayı: 1, 179–185. https://ajindex.com/articles/807878

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (18)

  1. Stouffer K, Falco J, Scarfone K. Guide to Industrial Control Systems (ICS) Security, National Institute of Standards and Technology, Gaithersburg, MD, USA, 2011
  2. Gaushell DJ, Darlington HT. Supervisory Control and Data Acquisition. Proc. IEEE, 1987; 75(12): 1645–1658
  3. Oliveira RM, Facina MSP, Ribeiro MV, Vieira AB. Performance Evaluation of In-home Broadband PLC Systems Using a Cooperative MAC Protocol. Computer Networks 2016; 95: 62–76
  4. Li H. Wide Area Voltage Monitoring and Optimization. Ph. D, dissertation, Dept. Elec. Eng., Washington State University, Pullman, USA, 2013
  5. Bartelt TLM. Industrial Electronics: Devices, Systems and Applications. Albany, New York, USA: Delmar Publishers, 1997
  6. Herman SL, Sparkman BL. Electricity and Controls for HVAC/R. 6th ed. Clifton Park, New York, USA: Delmar Cengage Learning, 2010
  7. Kilian CT. Modern Control Technology: Components and Systems. 2nd ed. Novato, CA: Delmar Thomson Learning, 2000
  8. Parr EA. 16-Programmable Controllers. In: Laughton MA, Warne DJ, editors. Electrical Engineer's Reference Book. 16td ed. Nestfield, London, UK: Newnes, 2003
  9. Edan Y, Pliskin N. Transfer of software engineering tools from information systems to production systems. Comput Ind Eng 2001; 39(1–2): 19–34
  10. Kiran AR, Sundeep BV, Vardhan CS and Mathews N. The principle of programmable logic controller and its role in automation Int. J. Eng. trends Technol. 2013; 4(3): 500–502
  11. Rehg JA, Sartori GJ. Programmable Logic Controllers. 2nd ed. Saaddle River, New Jersey, USA: Pearson, 2009
  12. Petruzella FD. Programmable Logic Controller. 4th ed. New York, USA: Mc Graw-Hill, 2011
  13. Michel G. Programmable logic controllers-Architecture and applications.1st ed. New Jersey, USA: Wiley, 1990
  14. Rullán A. Programmable logic controllers versus personal computers for process control. Comput Ind Eng 1997; 33(1–2): 421–4
  15. Zhang L. Applications of PAC in control system at Xeiqiao new coal prepartaion plant. Coal Preperation Technology 2013; 3: 80-81
  16. Zhang XD. Tide Simulation System Based on PAC. Modern Electronic Technique 2008; 21(11): 113-116
  17. Koerber HJ, Wattar H, Scholl G. Modular Wireless RealTime Sensor/Actuator Network for Factory Automation Applications, IEEE Transactions on Industrial Informatics 2007; 3: 111–119
  18. Frotzscher A, Wetzker U, Bauer M, Rentschler M, Beyer M, Elspass S, Klessig H. Requirements and current solutions of wireless communication in industrial automa