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Fuzzy Logic Based Flood Warning and Floodgate Control System

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Yogesh Waghmare
yogeshwaghmare118@gmail.com
Department of Electronics and Telecommunication,
Dr. D. Y. Patil College of Engineering, Pune, India
Prakash Kumar
kumarprakash358@gmail.com
Department of Electronics and Telecommunication,
Dr. D. Y. Patil College of Engineering, Pune, India
Mohit Rochlani
mohitrochlani09@gmail.com
Department of Electronics and Telecommunication,
Dr. D. Y. Patil College of Engineering, Pune, India
Manisha Rajput
rajput_manisha@rediffmail.com
Department of Electronics and Telecommunication,
Dr. D. Y. Patil College of Engineering, Pune, India

Abstract

AThis paper is about the construction of flood warning system using the embedded controller. Floods have large social consequences for communities and individuals. To tackle all these issues, the proposed mechanism constructs flood warning system using the embedded controller Atmega 32. Here the main aspect is to control the gate of the main reservoir using the fuzzy logic in a precise manner. Controlling of the gate is based on the different inputs from the sensors situated at small reservoirs. So that there will be fewer chances of flood and it saves the dam from the maximum damage, and the area nearby dam will also be safe from the flood The conventional control techniques is replaced here by using fuzzy logic and implemented using a low-cost Atmega32 microcontroller to provides a solution.

Keywords

Control System;
Embedded system;
Floodgate Control System;
Fuzzy logic controller;
Flood warning system;
Ultrasonic sensors.

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Cited as

Yogesh Waghmare, Prakash Choudhary, Mohit Rochlani and Manisha Rajput, “Fuzzy Logic Based Flood Warning and Floodgate Control System,” International Journal of Advanced Engineering and Management, Vol. 2, No. 7, pp. 172-175, 2017. DOI: https://doi.org/10.24999/IJOAEM/02070039                                                                                                                                                                                                                                                          

 References

  1. Kozlowski, T. T. (2002). Physiological-ecological impacts of flooding on riparian forest ecosystems. Wetlands, 22(3), 550-561.
  2. Le, T. V. H., Nguyen, H. N., Wolanski, E., Tran, T. C., & Haruyama, S. (2007). The combined impact on the flooding in Vietnam’s Mekong River delta of local man-made structures, sea level rise, and dams upstream in the river catchment. Estuarine, Coastal and Shelf Science, 71(1), 110-116.
  3. Otto, M. (1988). Fuzzy theory explained. Chemometrics and intelligent laboratory systems, 4(2), 101-120.
  4. Rinkewich, I. (1995). U.S. Patent No. 5,427,350. Washington, DC: U.S. Patent and Trademark Office.
  5. Changyi, L. (2005). The Design of Metro Flood Gate [J]. Urban Rapin Rail Transit, 4, 032.
  6. Wu, C. L., & Chau, K. W. (2006). Mathematical model of water quality rehabilitation with rainwater utilisation: a case study at Haigang. International Journal of Environment and Pollution, 28(3-4), 534- 545.
  7. Ding, Y., & Wang, S. S. (2012). Optimal control of flood diversion in watershed using nonlinear optimization. Advances in Water Resources, 44, 30- 48.
  8. Guan, H. L., Chi, Y. L., Dai, H. Z., & Yang, Y. (2008). Small signal stability and control of wind turbine with asynchronous generator integration into power system. Automation of Electric Power Systems, 32(4), 54-58.
  9. Kumar, M., Kabir, F., & Roy, S. (2017). Low Cost Smart Stick for Blind and Partially Sighted People. International Journal of Advanced Engineering and Management, 2(3), 65-68.
  10. Purnaningrum, E., & Apriliani, E. (2016). Auto Floodgate Control Using EnKf-NMPC Method. International Journal of Computing Science and Applied Mathematics, 2(1), 14.
  11. Asif, O., Hossain, M. B., Hasan, M., Rahman, M. T., & Chowdhury, M. E. (2014). Fire-Detectors Review and Design of an Automated, Quick Responsive FireAlarm System Based on SMS. Int’l J. of Communications, Network and System Sciences, 7(09), 386.
  12. Schmid, F., Grbin, P., Yap, A., & Jiranek, V. (2011). Relative efficacy of high pressure hot water and high power ultrasonics for wine oak barrel sanitization. American journal of enology and viticulture, ajev-2011.
  13. Falkenström, M., Engman, M., Lindh-Ulmgren, E., & Hutchinson, B. (2011). Laser ultrasonics for process control in the metal industry. Nondestructive Testing and Evaluation, 26(3-4), 237-252.

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