IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM
Abstract & Details
Research Area
Instrumentation Engineering
Keywords
IOT
Arduino Uno R3
ESP8266 WI-FI module
Sensors
Abstract
Nowadays natural calamities like flooding turn up drastically, and it severely affects standard of living. In this paper the development of flood monitoring system using IOT to keep track of the conditions nearby the reservoir with the help of Arduino, the prototyping platform and the compactible sensors such as level, temperature, humidity and flow distinctly presented. Firstly the hardware unit is placed in the flood prone areas, the Wi-Fi module (ESP8266) act as the transmitting unit and the sensors associated with the system measures the corresponding parameters. Then the accurately measured parameters are displayed through the LCD display and passed to the IOT web application. Here the thingspeak web application is used to store data in private channel and the web application then alerts the authority and people while flood occurs.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Soubhagya P | KMEA Engineerin college,Ernakulam |
| 2 | Sreyasukumaran | KMEA Engineerin college,Ernakulam |
| 3 | Vishnu G M | KMEA Engineerin college,Ernakulam |
| 4 | Rashida Hameed | KMEA Engineerin college,Ernakulam |
How to Cite
Use the following formats to cite this article in your research.
APA Style
P, Soubhagya, Sreyasukumaran, M, Vishnu G, & Hameed, Rashida (2020). IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 1648-1655.
MLA Style
P, Soubhagya, et al. "IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 1648-1655.
IEEE Style
Soubhagya P, Sreyasukumaran, Vishnu G M, and Rashida Hameed, "IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 1648-1655, 2020.
Vancouver Style
P Soubhagya, Sreyasukumaran, M Vishnu G, Hameed Rashida. IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):1648-1655.
Harvard Style
P, Soubhagya, Sreyasukumaran, M, Vishnu G, & Hameed, Rashida (2020) 'IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 1648-1655.
Chicago Style
P, Soubhagya, et al. "IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1648-1655.
Turabian Style
P, Soubhagya, et al. "IOT BASED EARLY FLOOD MONITORIN DETECTION AND ALARMING SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1648-1655.
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