Flood Warning and Monitoring System Utilizing Internet of Things Technology

Mohamad Syafiq Mohd Sabre; Shahrum Shah Abdullah; Amrul Faruq

doi:10.22219/kinetik.v4i4.898

Issue

Vol 4, No 4, November 2019

Issue Published : Oct 30, 2019

Flood Warning and Monitoring System Utilizing Internet of Things Technology

https://doi.org/10.22219/kinetik.v4i4.898

Mohamad Syafiq Mohd Sabre

Department of Electronic Systems Engineering, Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia

Shahrum Shah Abdullah

Department of Electronic Systems Engineering, Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia

Amrul Faruq

Universitas Muhammadiyah Malang

Corresponding Author(s) : Amrul Faruq

faruq@umm.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol 4, No 4, November 2019
Article Published : Oct 30, 2019

Abstract

Flooding is one of the major disasters occurring in various parts of the world including Malaysia. To reduce the effect of the disaster, a flood warning and monitoring are needed to give an early warning to the victims at certain place with high prone to flood. By implementing Internet of Thing technology into the system, it could help the victim to get an accurate status of flood in real-time condition. This paper is develop a real-time flood monitoring and early warning system using wireless sensor node at a high prone area of flood. This system is based on NodeMCU based technology integrated using Blynk application. The wireless sensor node can help the victims by detecting the water levels and rain intensity while giving an early warning when a flood or heavy rain occurs. Basically, the sensor node consists of ultrasonic sensor and rain sensor controlled by NodeMCU as the microcontroller of the system which placed at the identified flood area. Buzzer and LED started to trigger and alert the victim when the flood had reached certain level of hazard. Data detected from the sensors are sent to the Blynk application via wireless connection. Victim will get to know the current status of flood and rain by viewing the interface and receiving push notification that available in Blynk application via IOS or Android smartphones. The flood level’s data sent to the email could help various organizations for further improvement of the system and flood forecasting purposes. After a test had been conducted, it was found that this prototype can monitor, detect and give warning with notification to the victim earlier before the occurrence of floods.

Keywords

Flood monitoring system early warning system Internet of Things NodeMCU

Mohd Sabre, M. S., Abdullah, S. S., & Faruq, A. (2019). Flood Warning and Monitoring System Utilizing Internet of Things Technology. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 4(4), 287-296. https://doi.org/10.22219/kinetik.v4i4.898

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References

N. Weng Chan, “Increasing flood risk in Malaysia: causes and solutions,” Disaster Prev. Manag., vol. 6, no. 2, pp. 72–86, 1997.
A. H. Bin Sulaiman, Flood Management in Malaysia. Department of Irrigation and Drainage Systems, 2009.
S. G. Durumin Iya, M. B. Gasim, M. E. Toriman, and M. G. Abdullahi, “FLOODS IN MALAYSIA Historical Reviews, Causes, Effects and Mitigations Approach,” Int. J. Interdiscip. Res. Innov., vol. 2, no. 4, pp. 59–65, 2014.
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Mary Anne M. Sahagun, J. C. Dela Cruz, and Ramon G. Garcia, “Wireless sensor nodes for flood forecasting using artificial neural network,” in International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2017, pp. 1–6.
S. K. Subramaniam, V. R. Gannapathy, S. Subramonian, and A. H. Hamidon, “Flood level indicator and risk warning system for remote location monitoring using Flood Observatory System,” WSEAS Trans. Syst. Control, vol. 5, no. 3, pp. 153–163, 2010.
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A. R. A. Mohamed and W. G. Wei, “Real Time Wireless Flood Monitoring System Using Ultrasonic Waves,” Int. J. Sci. Res., vol. 3, no. 8, pp. 100–103, 2014.
P. Damor and K. J. Sharma, “IoT based Water Monitoring System: A Review,” Int. J. Adv. Eng. Res. Dev., vol. 4, no. 6, pp. 1–6, 2017.
D. Swathi, S. Snehaa, R. Ragapriya, and P. Priyanka, “IoT Based Flood Monitoring Using Artificial Neural Network,” Int. J. Innov. Res. Technol., vol. 4, no. 9, pp. 348–353, 2018.
R. K. Kodali and S. Mandal, “IoT based weather station,” in International Conference on Control, Instrumentation, Communication and Computational Technologies, 2016, pp. 680–683.
E. S. Manolakos, E. Logaras, and F. Paschos, “Wireless Sensor Network Application for Fire Hazard Detection and Monitoring,” in International Conference on Sensor Applications, Experimentation and Logistics, 2009, pp. 1–15.
T. Perumal, M. N. Sulaiman, and C. Y. Leong, “Internet of Things (IoT) enabled water monitoring system,” in Global Conference on Consumer Electronics, 2015, pp. 86–87.
P. J and S. Chekuri, “Water Level Monitoring System using IoT,” Int. Res. J. Eng. Technol., vol. 4, no. 12, pp. 1813–1817, 2017.
M. Selvan, A. Roy, K. P. Singh, and A. Kumar, “Automatic Water Level Indicator Using Ultrasonic Sensor and GSM Module,” Int. J. Adv. Res. Innov. Ideas Educ., vol. 4, no. 5, pp. 261–269, 2018.
P. Jesani, T. J. Raval, and karishma A. Chaudhary, “A Review On IoT Based Smart Home Using Blynk Framework,” Int. J. Adv. Res. Innov. Ideas Educ., vol. 3, no. 5, pp. 624–632, 2017.
N. A. Z. M. Noar and M. M. Kamal, “The development of smart flood monitoring system using ultrasonic sensor with blynk applications,” in International Conference on Smart Instrumentation, Measurement and Application, 2017, pp. 1–6.
B. V. Raju, “An Automatic Form Monitoring System Using Arduino and Wireless Sensor Networks,” Int. J. Innov. Res. Sci. Eng. Technol., vol. 6, no. 7, pp. 14777–14785, 2017.

References

N. Weng Chan, “Increasing flood risk in Malaysia: causes and solutions,” Disaster Prev. Manag., vol. 6, no. 2, pp. 72–86, 1997.

A. H. Bin Sulaiman, Flood Management in Malaysia. Department of Irrigation and Drainage Systems, 2009.

S. G. Durumin Iya, M. B. Gasim, M. E. Toriman, and M. G. Abdullahi, “FLOODS IN MALAYSIA Historical Reviews, Causes, Effects and Mitigations Approach,” Int. J. Interdiscip. Res. Innov., vol. 2, no. 4, pp. 59–65, 2014.

I. Ruin, S. Anquetin, J. D. Creutin, E. Gruntfest, and C. Lutoff, Human vulnerability to flash floods: Addressing physical exposure and behavioural questions. London: Taylor & Francis Group, 2009.

M. S. Khalid et al., “Failure to React Positively to Flood Early Warning Systems: Lessons Learned by Flood Victims from Flash Flood Disasters: The Malaysia Experience,” Int. J. Educ. Pedagog. Sci., vol. 9, no. 5, pp. 1406–1410, 2015.

Mary Anne M. Sahagun, J. C. Dela Cruz, and Ramon G. Garcia, “Wireless sensor nodes for flood forecasting using artificial neural network,” in International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2017, pp. 1–6.

S. K. Subramaniam, V. R. Gannapathy, S. Subramonian, and A. H. Hamidon, “Flood level indicator and risk warning system for remote location monitoring using Flood Observatory System,” WSEAS Trans. Syst. Control, vol. 5, no. 3, pp. 153–163, 2010.

J. G. Natividad and J. M. Mendez, “Flood Monitoring and Early Warning System Using Ultrasonic Sensor,” IOP Conf. Ser. Mater. Sci. Eng., vol. 325, no. 1, 2018.

M. I. K. Alfahadiwy and A. Suliman, “Flood Detection using Sensor Network and Notification via SMS and Public Network,” in Student Conference On Research And Development (SCOReD 2011), 2011, pp. 1–7.

A. R. A. Mohamed and W. G. Wei, “Real Time Wireless Flood Monitoring System Using Ultrasonic Waves,” Int. J. Sci. Res., vol. 3, no. 8, pp. 100–103, 2014.

P. Damor and K. J. Sharma, “IoT based Water Monitoring System: A Review,” Int. J. Adv. Eng. Res. Dev., vol. 4, no. 6, pp. 1–6, 2017.

D. Swathi, S. Snehaa, R. Ragapriya, and P. Priyanka, “IoT Based Flood Monitoring Using Artificial Neural Network,” Int. J. Innov. Res. Technol., vol. 4, no. 9, pp. 348–353, 2018.

R. K. Kodali and S. Mandal, “IoT based weather station,” in International Conference on Control, Instrumentation, Communication and Computational Technologies, 2016, pp. 680–683.

E. S. Manolakos, E. Logaras, and F. Paschos, “Wireless Sensor Network Application for Fire Hazard Detection and Monitoring,” in International Conference on Sensor Applications, Experimentation and Logistics, 2009, pp. 1–15.

T. Perumal, M. N. Sulaiman, and C. Y. Leong, “Internet of Things (IoT) enabled water monitoring system,” in Global Conference on Consumer Electronics, 2015, pp. 86–87.

P. J and S. Chekuri, “Water Level Monitoring System using IoT,” Int. Res. J. Eng. Technol., vol. 4, no. 12, pp. 1813–1817, 2017.

M. Selvan, A. Roy, K. P. Singh, and A. Kumar, “Automatic Water Level Indicator Using Ultrasonic Sensor and GSM Module,” Int. J. Adv. Res. Innov. Ideas Educ., vol. 4, no. 5, pp. 261–269, 2018.

P. Jesani, T. J. Raval, and karishma A. Chaudhary, “A Review On IoT Based Smart Home Using Blynk Framework,” Int. J. Adv. Res. Innov. Ideas Educ., vol. 3, no. 5, pp. 624–632, 2017.

N. A. Z. M. Noar and M. M. Kamal, “The development of smart flood monitoring system using ultrasonic sensor with blynk applications,” in International Conference on Smart Instrumentation, Measurement and Application, 2017, pp. 1–6.

B. V. Raju, “An Automatic Form Monitoring System Using Arduino and Wireless Sensor Networks,” Int. J. Innov. Res. Sci. Eng. Technol., vol. 6, no. 7, pp. 14777–14785, 2017.

Issue

Vol 4, No 4, November 2019

Flood Warning and Monitoring System Utilizing Internet of Things Technology

Corresponding Author(s) : Amrul Faruq

Abstract

Keywords

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References

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