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Design and Review of Water Management System Using Ethernet, Wi-Fi 802.11n, Modbus, and Other Communication Standards

  • Bishwajeet Pandey
  • Giuseppe Airo Farulla
  • Marco Indaco
  • Ludovico Iovino
  • Paolo Prinetto
Article
  • 115 Downloads

Abstract

Sensors, actuators, and controllers communicate with each other in our Water Management Cyber Physical System (WM-CPS). This WM-CPS is also Internet of Things (IoTs) enable because controllers used in WM-CPS always get a unique IP address during connection with internet. In our work, various communication standards like Ethernet/IP, Modbus/TCP, Modbus/RTU, Wi-Fi 802.11n/IP, Wi-Fi 802.11n/UDP, and Wi-Fi 802.11n/TCP are taken under consideration. Raspberry Pi-3 (RPi-3) board is a controller. Relay and Pump are actuators. Our system works on two layers. Sensors and actuators communicate with controllers on Layer 0 (L0). Controller communicate with data base management system (DBMS), web Interface and virtual private server (VPS) at Layer 1 (L1). We have design and develop web interface of our system available with http://cps4wm.info domain name. This WM-CPS is scalable and able to integrate many more sensors and actuators. We have surveyed 22 communication standards for our future WM-CPS.

Keywords

Wi-Fi Ethernet 802.11 Modbus TCP RTU UDP Water management cyber physical system (WM-CPS) Internet of things (IoTs) 

Notes

Acknowledgements

The authors acknowledge all support staff of CINI, Polytechnic University of Turin and GSSI, Italy for their constructive and positive support.

References

  1. 1.
    Mishra, N., Chaurasia, A., Kallavi, A., Raman, B., & Kulkarni, P. (2015). Usage of 802.11 n in practice: A measurement study. In 2015 7th international conference on communication systems and networks (COMSNETS) (pp. 1–8) IEEE.Google Scholar
  2. 2.
    Modbus TCP/IP, http://www.simplymodbus.ca/TCP.html. Last Visited on March 15, 2017.
  3. 3.
    Montestruque, L., & Lemmon. M. D. (2015). Globally coordinated distributed storm water management system. In Proceedings of the 1st ACM international workshop on cyber-physical systems for smart water networks (pp. 10) ACM.Google Scholar
  4. 4.
    Riis, T. S. (2016). Modeling water distribution systems-integration between SCADA systems and hydraulic network simulation models. Master’s thesis, NTNU.Google Scholar
  5. 5.
    Dannier, A., Pizzo, A. D., Giugni, M., Fontana, N., Marini, G., & Proto, D. (2015). Efficiency evaluation of a micro-generation system for energy recovery in water distribution networks. In 2015 international conference on clean electrical power (ICCEP) (pp. 689–694) IEEE.Google Scholar
  6. 6.
    Burnett, J., Rack, F. R., Blythe, D., Swanson, P., Duling, D., Gibson, D., et al. (2014). Developing a hot-water drill system for the WISSARD project: 3. Instrumentation and control systems. Annals of Glaciology, 55(68), 303–310.CrossRefGoogle Scholar
  7. 7.
    More, A., Wagh, S., & Joshi, K. (2015). A test-bed for habitat monitoring system using Wi-Fi in Wireless Sensor Networks. In 2015 IEEE international conference on computational intelligence and computing research (ICCIC) (pp. 1–6) IEEE.Google Scholar
  8. 8.
    Ranade, P., & Takale, S. B. (2016). Smart irrigation system using FPGA based wireless sensor network. International Research Journal of Engineering and Technology (IRJET), 03(05), 2229–2232.Google Scholar
  9. 9.
    Ntilis, D., Oikonomakos, P., Papadakis, V., Inglezakis, A., Dimitriou, A. G., & Bletsas, A. (2015) Frequency planning for a multi-radio 802.11s city-wide water management network. In Proceedings of the 1st ACM international workshop on cyber-physical systems for smart water networks (pp. 6) ACM.Google Scholar
  10. 10.
    Aust, Stefan, Prasad, R. V., & Niemegeers, I. G. (2015). Outdoor long-range WLANs: a lesson for IEEE 802.11 ah. IEEE Communications Surveys & Tutorials, 17(3), 1761–1775.CrossRefGoogle Scholar
  11. 11.
    Profibus. (n.d.). Retrieved March 5, 2017, from Wikipedia: http://en.wikipedia.org/wiki/Profibus.
  12. 12.
    ICeWater—DELIVERABLE, State of the Art analysis, http://icewater-project.eu/index.php?id=050000&spid=en&filecat=1. Last Visited on March t, 2017.
  13. 13.
    Tovar, E., & Vasques, F. (1999). Real-time Fieldbus communications using Profibus networks. IEEE Transactions on Industrial Electronics, 46(6), 1241–1251.CrossRefGoogle Scholar
  14. 14.
    Tovar, E., & Vasques, F. (1998). Guaranteeing real-time message deadlines in PROFIBUS networks. In 10th Euromicro workshop on real-time systems, 1998, Proceedings (pp. 79–86) IEEE.Google Scholar
  15. 15.
    Chen, M., Wan, J., & Li, F. (2012). Machine-to-machine communications: architectures, standards, and applications. KSII Transaction on Internet and Information Systems, 6(2), 480–497.Google Scholar
  16. 16.
    Hoang, D. D., Paik, H. Y., & Kim, C. K. (2012). Service-oriented middleware architectures for cyber-physical systems. International Journal of Computer Science and Network Security, 12(1), 79–87.Google Scholar
  17. 17.
    Ożadowicz, A., & Grela, J. (2016). An event-driven building energy management system enabling active demand side management. In 2016 second international conference on event-based control, communication, and signal processing (EBCCSP) (pp. 1–8) IEEE.Google Scholar
  18. 18.
    Jain, R. (2013). Introduction to internet of things. Washington University in Saint Louis, Saint Louis.Google Scholar
  19. 19.
    Antonioli, D., & Tippenhauer, N. O. (2015). MiniCPS: A toolkit for security research on CPS networks. In Proceedings of the First ACM workshop on cyber-physical systems-security and/or privacy (pp. 91–100) ACM.Google Scholar
  20. 20.
    Ahmad, Z., Asad, E. U., Muhammad, A., Ahmad, W., & Anwar, A. (2013). Development of a low-power smart water meter for discharges in indus basin irrigation networks. In Wireless sensor networks for developing countries (pp. 1–13). Berlin, Heidelberg: Springer.Google Scholar
  21. 21.
  22. 22.
    Raja, C. A., Rajan, A. S., Gowtham, K., & Lakshmi, S. (2016). Water management system using dynamic IP based embedded web server in real time. International Journal of Engineering Science, 6(4), 3688–3691.Google Scholar
  23. 23.
    Navarro-Hellín, H., Torres-Sánchez, R., Soto-Valles, F., Albaladejo-Pérez, C., López-Riquelme, J. A., & Domingo-Miguel, R. (2015). A wireless sensors architecture for efficient irrigation water management. Agricultural Water Management, 151, 64–74.CrossRefGoogle Scholar
  24. 24.
    Deshpande, S., Barhate, T., & Mundada, K. (2015). Design and development of cost effective and integrated water distribution system for the residential establishment. In 2015 international conference on information processing (ICIP) (pp. 652–657) IEEE.Google Scholar
  25. 25.
    Gao, H. W., Zhu, S. X., & Zhu, X. L. (2014). Monitoring system of city water supply pipe network based on Zigbee and GPRS. In Applied mechanics and materials (Vol. 441, pp. 397–400) Trans Tech Publications.Google Scholar
  26. 26.
    Hu, P., Jiang, T., & Zhao, Y. (2011). Monitoring system of soil water content based on ZigBee wireless sensor network. Transactions of the CSAE, 27(4), 230–234.Google Scholar
  27. 27.
    Jun, Feng, Zhigang, Ning, & Puqiong, Yang. (2010). Design of wireless meter reading system based on ZigBee. Electric Power Automation Equipment, 30(8), 108–111.Google Scholar
  28. 28.
    Wang, Z., Song, H., Watkins, D. W., Ong, K. G., Xue, P., Yang, Q., et al. (2015). Cyber-physical systems for water sustainability: challenges and opportunities. IEEE Communications Magazine, 53(5), 216–222.CrossRefGoogle Scholar
  29. 29.
    Xiong, X., Zheng, K., Xu, R., Xiang, W., & Chatzimisios, P. (2015). Low power wide area machine-to-machine networks: Key techniques and prototype. IEEE Communications Magazine, 53(9), 64–71.CrossRefGoogle Scholar
  30. 30.
    Sanchez-Iborra, R., & Cano, Maria-Dolores. (2016). State of the art in LP-Wan solutions for industrial IoT services. Sensors, 16(5), 708.CrossRefGoogle Scholar
  31. 31.
    IEEE 802.15.4-2006 Telecommunications and information exchange between systems—Local and metropolitan area networks—Specific requirements Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate (LR-WPANs), IEEE Std.Google Scholar
  32. 32.
    Jain, S., Kumar, V., Paventhan, A., Chinnaiyan, V. K., Arnachalam, V., & Pradish, M. (2014). Survey on smart grid technologies-smart metering, IoT, and EMS. In 2014 IEEE students’ conference on electrical, electronics and computer science (SCEECS) (pp. 1–6) IEEE.Google Scholar
  33. 33.
    Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016). Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wireless Communications, 23(5), 60–67.CrossRefGoogle Scholar
  34. 34.
    Nguyen, L. D. L., Lefevre, L., Genon-Catalot, D., Pham, V., & Raïevsky, C. (2014). Optimal reactive control of hybrid architectures: A case study on complex water transportation systems. In 19th IEEE international conference on emerging technologies and factory automation.Google Scholar
  35. 35.
    What is Bluetooth, https://www.bluetooth.com/what-is-bluetooth-technology/how-it-works. Last Retrieved on March 21, 2017.
  36. 36.
    Fornai, F., Ferri, G., Manzi, A., Ciuchi, F., Bartaloni, F., & Laschi, C. (2016). An autonomous water monitoring and sampling system for small-sized ASVs. IEEE Journal of Oceanic Engineering, 42, 5–12.Google Scholar
  37. 37.
    More, A., Wagh, S., & Joshi, K. (2015). A testbed for habitat monitoring system using Wi-Fi in wireless sensor networks. In 2015 IEEE international conference on computational intelligence and computing research (ICCIC) (pp. 1–6) IEEE.Google Scholar
  38. 38.
    Isik, M. F., Yartasi, B., & Haboglu, M. R. (2017). Applicability of Li-Fi technology for industrial automation systems. International Journal of Electronics and Electrical Engineering, 5(1), 21–25.Google Scholar
  39. 39.
    Yoon, Sung-Guk, Jang, Seowoo, Kim, Yong-Hwa, & Bahk, Saewoong. (2014). Opportunistic routing for smart grid with power line communication access networks. IEEE Transactions on Smart Grid, 5(1), 303–311.CrossRefGoogle Scholar
  40. 40.
    Pena, P. A., Sarkar, D., & Maheshwari, P. (2015). A big-data centric framework for smart systems in the world of internet of everything. In 2015 international conference on computational science and computational intelligence (CSCI) (pp. 306–311) IEEE.Google Scholar
  41. 41.
    Craemer, K. D., & Deconinck, G. (2015). Analysis of state-of-the-art smart metering communication standards. In Proceedings of the 5th young researcher’s symposium.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer SystemGran Sasso Science InstituteL’AquilaItaly
  2. 2.Politecnico di TorinoTurinItaly
  3. 3.ASTER SpaRomeItaly

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