Windows Gömülü Bilgisayar üzerinde Petrol Sondaj Kulesi için Endüstriyel İletişim Güvenirliliği
Year 2021,
, 22 - 30, 21.12.2021
Ongun Yucesan
,
Altan Özkil
,
Efe Özbek
Abstract
Güvenilirlik uygulamalar için önemli bir kriterdir. Özellikle aktiviteye dahil olan insanlar olduğunda. Makineden makineye (M2M) iletişim söz konusu olduğunda dijital bir endüstriyel iletişim senaryosunun güvenilirlik endişelerini ele alan sınırlı sayıda çalışma bulunmaktadır. Windows gömülü bir platformdaki sonuçlar daha nadirdir. Bu yazıda, dijital bir petrol sondaj kulesinin verilerini insanlara sunmak için bu tür cihazların uygunluğu araştırılmıştır. İki tür veri okuması olabilir. Gözlenen değişkenlerin mevcut değerleriyle ilgili basit bir tane. Ayrıca, Tarihsel okuma olarak adlandırılan, oluşumlarının bir dönemi geri çağrılabilir. Bir algoritma her iki tekniği de dikkate alabilir. Gözlemlerimiz şunu gösteriyor: basit okumalar, okunabilir bir değişkenin geçmiş verilerini temsil eden tarihsel okumalardan daha esnektir.
Project Number
KAMAG 115G007
References
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- [4] A. Cenedese, M. Frodella, F. Tramarin, and S. Vitturi, “Comparative assessment of different opc ua open–source stacks for embedded systems,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 1127–1134.
- [5] W. Kim and M. Sung, “Opc-ua communication framework for plc-based industrial iot applications: Poster abstract,” in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, ser. IoTDI ’17. New York, NY, USA: Association for Computing Machinery, 2017, p. 327–328.
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- [11] S. Gruner, J. Pfrommer, and F. Palm, “Restful industrial communication ̈with opc ua,” IEEE Transactions on Industrial Informatics, vol. 12, no. 5, pp. 1832–1841, Oct 2016.
- [12] R. Hormann, S. Nikelski, S. Dukanovic, and E. Fischer, “Parsing and extracting features from opc unified architecture in industrial environments,” in Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, ser. ISCSIC ’18. New York, NY, USA: Association for Computing Machinery, 2018.
- [13] N. T. T. Tu, N. D. Cuong, V. V. Tan, and H. Q. Thang, “Research and development of opc client-server architectures for manufacturing and process automation,” in Proceedings of the 2010 Symposium on Information and Communication Technology, ser. SoICT ’10. New York, NY, USA: Association for Computing Machinery, 2010, p. 163–170.
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- [16] J. Kim, G. Jo, and J. Jeong, “A novel cpps architecture integrated with centralized opc ua server for 5g-based smart manufacturing,” Procedia Computer Science, vol. 155, pp. 113 – 120, 2019.
- [17] H. Latif, G. Shao, and B. Starly, “Integrating a dynamic simulator and advanced process control using the opc-ua standard,” Procedia Manufacturing, vol. 34, pp. 813 – 819, 2019.
- [18] M. V. Garcia, E. Irisarri, F. Perez, E. Estévez, D. Orive, and M. Marcos, “Plant floor communications integration using a low cost cpps architecture,” in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2016, pp. 1–4.
- [19] X. Wen, H. Chen, B. Wen, J. Liu, Y. Li, and N. Xi, “Conceptual framework of smart factory based on opc ua and lstm encoder-decoder,” in 2018 IEEE 1st International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS), Dec 2018, pp. 44–48.
- [20] H. Cho and J. Jeong, Performance Evaluation of Industrial OPC UA Gateway with Energy Cost-Saving: Third International Conference, SmartCom 2018, Tokyo, Japan, December 10–12, 2018, Proceedings, 12 2018, pp. 55–66.
- [21] K. S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd ed. GBR: John Wiley and Sons Ltd., 2001.
- [22] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, "Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021
- [23] O. Yucesan, A. Ozkil, “Time Complexity Comparison of Stopping at First Failure and Completely Running the Test.” J Electron Test vol. 36, pp. 409–417, 2020.
[24] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, “Assessment of Different OPC UA Industrial IoT solutions for Distributed Measurement Applications,” 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020, pp. 1-6.
A Reliability Assessment of an Industrial Communication Protocol on a Windows OS Embedded PC for an Oil Rig Control Application
Year 2021,
, 22 - 30, 21.12.2021
Ongun Yucesan
,
Altan Özkil
,
Efe Özbek
Abstract
The reliability is an important criterion for the applications. Especially when there are humans involved in activity. There are limited number of works addressing the reliability concerns of a digital industrial plant scenario with machine to machine (M2M) communications. Results on a windows embedded platform are rare as well. In this paper, we investigate the suitability of such devices for presenting the data of a digital oil rig to the humans. There can be two types of reads. A simple one regarding current values of observed variables. Also a period of their occurrences can be recalled, referred to as an Historic read. For the review made by Geological teams for residues of ore, an algorithm can consider both techniques. Our observations indicate: the simple reads are more resilient than the historical ones that represent a data past of a readable variable.
Supporting Institution
TUBİTAK
Project Number
KAMAG 115G007
Thanks
This research is supported by TUBITAK (KAMAG) under the grant no: 115G007. Research is conducted for the needs of Turkish Petroleum Anonymous Partnership (TPAO) and Turkish Petroleum International Company (TPIC).
References
- [1] A. Burger, H. Koziolek, J. Ruckert, M. Platenius-Mohr, and G. Stomberg, “Bottleneck identification and performance modeling of opc ua communication models,” in Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering, ser. ICPE ’19. New York, NY, USA: Association for Computing Machinery, 2019, p. 231–242.
- [2] S. Cavalieri and F. Chiacchio, “Analysis of opc ua performances,” Computer Standards and Interfaces, vol. 36, no. 1, pp. 165 – 177, 2013.
- [3] A. Eckhardt and S. Muller, “Analysis of the round-trip time of opc ua and tsn based peer-to-peer communication,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 161–167.
- [4] A. Cenedese, M. Frodella, F. Tramarin, and S. Vitturi, “Comparative assessment of different opc ua open–source stacks for embedded systems,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2019, pp. 1127–1134.
- [5] W. Kim and M. Sung, “Opc-ua communication framework for plc-based industrial iot applications: Poster abstract,” in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, ser. IoTDI ’17. New York, NY, USA: Association for Computing Machinery, 2017, p. 327–328.
- [6] C. V.Neu, I. Schiering, A. Zorzo. Simulating and Detecting Attacks of Untrusted Clients in OPC UA Networks. CECC 2019: Proceedings of the Third Central European Cybersecurity Conference. 2019, p.1-6.
- [7] M. V. Garcia, E. Irisarri, F. Perez, E. Estévez, and M. Marcos, “An opencpps automation architecture based on iec-61499 over opc-ua for flexible manufacturing in oilgas industry”, 20th IFAC World Congress. IFAC-PapersOnLine, vol. 50, no. 1, pp. 1231 – 1238, 2017
- [8] H. Elfaham, F. Palm, S. Gruner, and U. Epple, “Full integration of matlab/simulink with control application development using opc unified architecture,” in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), July 2016, pp. 371–376.
- [9] L. Zhang, “Specification and design of cyber physical systems based on system of systems engineering approach,” in 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Oct 2018, pp. 300–303.
- [10] M. Hoffmann, C. Buscher, T. Meisen, and S. Jeschke, “Continuous integration of field level production data into top-level information systems using the opc interface standard,” Procedia CIRP, vol. 41, pp. 496 – 501, 2016,
- [11] S. Gruner, J. Pfrommer, and F. Palm, “Restful industrial communication ̈with opc ua,” IEEE Transactions on Industrial Informatics, vol. 12, no. 5, pp. 1832–1841, Oct 2016.
- [12] R. Hormann, S. Nikelski, S. Dukanovic, and E. Fischer, “Parsing and extracting features from opc unified architecture in industrial environments,” in Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, ser. ISCSIC ’18. New York, NY, USA: Association for Computing Machinery, 2018.
- [13] N. T. T. Tu, N. D. Cuong, V. V. Tan, and H. Q. Thang, “Research and development of opc client-server architectures for manufacturing and process automation,” in Proceedings of the 2010 Symposium on Information and Communication Technology, ser. SoICT ’10. New York, NY, USA: Association for Computing Machinery, 2010, p. 163–170.
- [14] T. Oksanen, P. Piirainen, and I. Seilonen, “Remote access of iso 11783 process data by using opc unified architecture technology,” Comput. Electron. Agric., vol. 117, no. C, p. 141–148, Sep. 2015.
- [15] G. Jo, S.-H. Jang, and J. Jeong, “Design and implementation of cpps and edge computing architecture based on opc ua server,” Procedia Computer Science, vol. 155, pp. 97 – 104, 2019.
- [16] J. Kim, G. Jo, and J. Jeong, “A novel cpps architecture integrated with centralized opc ua server for 5g-based smart manufacturing,” Procedia Computer Science, vol. 155, pp. 113 – 120, 2019.
- [17] H. Latif, G. Shao, and B. Starly, “Integrating a dynamic simulator and advanced process control using the opc-ua standard,” Procedia Manufacturing, vol. 34, pp. 813 – 819, 2019.
- [18] M. V. Garcia, E. Irisarri, F. Perez, E. Estévez, D. Orive, and M. Marcos, “Plant floor communications integration using a low cost cpps architecture,” in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), Sep. 2016, pp. 1–4.
- [19] X. Wen, H. Chen, B. Wen, J. Liu, Y. Li, and N. Xi, “Conceptual framework of smart factory based on opc ua and lstm encoder-decoder,” in 2018 IEEE 1st International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS), Dec 2018, pp. 44–48.
- [20] H. Cho and J. Jeong, Performance Evaluation of Industrial OPC UA Gateway with Energy Cost-Saving: Third International Conference, SmartCom 2018, Tokyo, Japan, December 10–12, 2018, Proceedings, 12 2018, pp. 55–66.
- [21] K. S. Trivedi, Probability and Statistics with Reliability, Queuing and Computer Science Applications, 2nd ed. GBR: John Wiley and Sons Ltd., 2001.
- [22] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, "Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications," in IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1-11, 2021
- [23] O. Yucesan, A. Ozkil, “Time Complexity Comparison of Stopping at First Failure and Completely Running the Test.” J Electron Test vol. 36, pp. 409–417, 2020.
[24] A. Morato, S. Vitturi, F. Tramarin and A. Cenedese, “Assessment of Different OPC UA Industrial IoT solutions for Distributed Measurement Applications,” 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020, pp. 1-6.