SCADA Sistemi: Şehir İçi ve Şehirlerarası Yolların Aydınlatma Sisteminin Kontrolü ve Otomasyonu

Öz

Denetim kontrolü ve veri toplama (SCADA) sistemleri, petrol ve su dağıtım otomasyonu, enerji otomasyonu ve su arıtma sistemi otomasyonu gibi çeşitli alanlarında kullanılmaktadır. Bu çalışmada, şehir içi ve şehirlerarası yolların aydınlatma sisteminin izlenmesi ve kontrolü için Visual Studio C#.NET ortamında geliştirilen bir SCADA sistemi yazılımı tasarlanmıştır. Tasarlanan SCADA yazılımında, şehir içi ve şehirlerarası yolların aydınlatma sistemindeki tüm olayların izlenmesi ve kontrolü, animasyonlar ve renkli grafikler ile ifade edilerek gerçekleştirilmiştir. Bu olaylar, sahada bulunan ışık şiddetini ölçen, arızaları tespit eden algılayıcılar ile aydınlatma direkleri ekipmanlarının nasıl çalıştığını ve bağlantı yapılarını içermektedir. Ayrıca tasarlanan SCADA yazılımı şehir içi ve şehirlerarası yolların aydınlatma sisteminin günlük verilerini, alarm yönetimini, güvenlik yönetimini, veri arşivini ve raporlama işlemlerini de kapsamaktadır. Sonuç olarak, Irak-Kerkük şehrinde yapılan uygulama ile tasarlanan SCADA sistemi yazılımının şehir içi ve şehirlerarası yolların aydınlatma sistemi kontrolünde eş zamanlı, hatasız ve verimli bir şekilde çalıştığı kanıtlanmıştır.

Anahtar Kelimeler

• Algılayıcı
• Aydınlatma direkleri
• Aydınlatma sistemi
• Mikrodenetleyici
• SCADA

SCADA System: Control and Automation of Lighting System of Urban and Inter-Urban Roads

Öz

Supervisory Control and Data Acquisition (SCADA) systems are used in various areas such as the automation of oil and water distribution, energy automation, and the automation of water treatment systems. In this study, Visual Studio C#.NET program-based SCADA system software is designed to monitor and control the lighting system for urban and inter-urban roads. In the designed SCADA software, the monitoring and control of all the events of the lighting system of the urban and inter-urban roads are carried out in the form of animated color graphics. These events include how sensors such as light intensity and fault detection in the field and lighting pole equipment work and how they are related. In addition, the designed SCADA software includes daily data of the lighting system of urban and inter-urban roads, alarm management, security management, data archive, and reporting processes. As a result, it has been proven that the SCADA system software designed with the application in the city of Iraq-Kirkuk works simultaneously, error-free, and efficiently in the control of the lighting system of urban and interurban roads.

Anahtar Kelimeler

• Lighting poles
• Lighting system
• Microcontroller
• SCADA
• Sensor

Kaynakça

1. 1. Figueiredo, J., Da Costa, JS., 2012. A SCADA System for Energy Management in Intelligent Buildings. Energy and Buildings, 49, 85-98.
2. 2. Tomić, J., Kušljević, M., Vidaković, M., Rajs, V., 2014. Smart SCADA System for Urban Air Pollution Monitoring. Measurement, 58, 138-146.
3. 3. Enescu, FM., Bizon, N., 2017. SCADA Applications for Electric Power System. In: Reactive Power Control in AC Power Systems, Springer, 561-609.
4. 4. Maseda, F.J., López, I., Martija, I., Alkorta, P., Garrido, A.J., Garrido, I., 2021. Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin. Sensors, 21, 8, 2762.
5. 5. Yadav, G., Paul, K., 2021. Architecture and Security of SCADA Systems: A Review. International Journal of Critical Infrastructure Protection, 34, 100433.
6. 6. Brad, S., Murar, M., Vlad, G., Brad, E., Popanton, M., 2021. Lifecycle Design of Disruptive SCADA Systems for Waste-Water Treatment Installations. Sustainability, 13(9), 4950.
7. 7. Vásquez, E., Castrillón, H., 2021. Scientific Literature Review for the Search of Vulnerabilities and Pentesting Tools for SCADA System. In International Congress of Telematics and Computing, Springer, Cham.
8. 8. Jozi, A., Ramos, D., Gomes, L., Faria, P., Pinto, T., Vale, Z., 2019. Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings. In EPIA Conference on Artificial Intelligence, Springer, Cham.

9. 9. Katyara, S., Shah, M. A., Chowdhary, B. S., Akhtar, F., Lashari, G. A., 2019. Monitoring, Control and Energy Management of Smart Grid System via WSN Technology Through SCADA Applications. Wireless Personal Communications, 106, 4, 1951-1968.
10. 10. Abou El-Ela, A. A., El-Sehiemy, R. A., El- Shebiny, A. M., 2019. Review of SCADA System for Distribution Power System Automation. ERJ. Engineering Research Journal, 42(2), 93-98.
11. 11. Dai, J., Tan, Y., Shen, X., 2019. Investigation of Energy Output in Mountain Wind Farm Using Multiple-units SCADA Data. Applied Energy, 239, 225-238.
12. 12. Parisio, A., Molinari, M., Varagnolo, D., Johansson, K.H., 2018. Energy Management Systems for Intelligent Buildings in Smart Grids. In Intelligent Building Control Systems, Springer, Cham.
13. 13. Kumar, A., Singh, A., Kumar, A., Singh, M. K., Mahanta, P., Mukhopadhyay, S.C., 2018. Sensing Technologies for Monitoring Intelligent Buildings: A Review. IEEE Sensors Journal, 18, 12, 4847-4860.
14. 14. Sean, W.Y., Chu, Y.Y., Mallu, L.L., Chen, J.G., Liu, H.Y., 2020. Energy Consumption Analysis in Wastewater Treatment Plants Using Simulation and SCADA System: Case Study in Northern Taiwan. Journal of Cleaner Production, 276, 124248.
15. 15. Dobriceanu, M., Bitoleanu, A., Popescu, M., Enache, S., Subtirelu, E., 2008. SCADA System for Monitoring Water Supply Networks. WSEAS Transactions on Systems, 1(7), 1070-1079.
16. 16. Saravanan, K., Anusuya, E., Kumar, R., Son, L.H., 2018. Real-time Water Quality Monitoring Using Internet of Things in SCADA. Environmental Monitoring and Assessment, 190(9), 1-16.
17. 17. Gold, S., 2009. The SCADA Challenge: Securing Critical Infrastructure. Network Security, 2009(8), 18-20.
18. 18. Qiang, G.U.O., De-Ju, M.O., 2005. Application of SCADA System in Natural Gas Dispatching Network. Journal of Beijing University of Chemical Technology, 32(1), 78.
19. 19. Subramanian, N., 2008. Improving Security of Oil Pipeline SCADA Systems Using Service- Oriented Architectures. In OTM Confederated International Conferences” On the Move to Meaningful Internet Systems”, Springer, Berlin, Heidelberg.
20. 20. Morsi, I., El-Din, L. M., 2014. SCADA System for Oil Refinery Control. Measurement, 47, 5-13.
21. 21. Sabri, L.A., Mohammed, S.A., Issa, M.I., 2017. Design of SCADA System for Oil Pipeline Control Using LabVIEW. Al-Nahrain Journal for Engineering Sciences, 20(3), 600-614.
22. 22. Garbea, R., Scarlatache, F., Grigoras, G., Neagu, B.C., 2021. Integration of Data Mining Techniques in SCADA System for Optimal Operation of Hydropower Plants. In 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE.
23. 23. Gündoğdu, S., Şahin, Ö., 2008. Su Dağıtım Sistemlerinde SCADA Uygulaması. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 10(3), 23-32.
24. 24. Andhare, S.L., Palkar, P.J., 2014. SCADA a Tool to Increase Efficiency of Water Treatment Plant. Asian Journal of Engineering and Technology Innovation, 2(4), 7-14.
25. 25. Hunzinger, R., 2017. SCADA Fundamentals and Applıcatıons in the IoT. Internet of Things and Data Analytics Handbook, 283-293.
26. 26. Bailey, D., Wright, E., 2003. Practical SCADA for Industry. Elsevier, 512.
27. 27. VanderZee, M., Fisher, D., Powley, G., Mohammad, R., 2015. Scada: Supervisory Control and Data Acquisition. Oil and Gas Pipelines, 6(3), 13-26.