UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 12
December-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2112295


Registration ID:
317973

Page Number

c725-c730

Share This Article


Jetir RMS

Title

FLOOD MONITORING AND EARLY WARNING ABOUT OVERFLOWING DAM USING NEURAL NETWORK

Abstract

Water plays an important role in our day to day life in various fields. Introduction of new methods to solve the water related problems includes adaptive management, remote sensing with the new concepts such as water security, global integration of information, etc. Recently, we can see an increasing amount of dam damage or failure due to aging, earthquakes occurrence and unusual changes in weather. For this reason, dam safety is gaining more importance than ever before in terms of disaster management at a national level. Therefore, the government is trying to come up with an array of legal actions to secure consistent dam safety. Other dam management organizations are also taking various institutional and technical measures for the same purpose. When it comes to dam safety issues, there is hardly a set of rules for how and when water can be released and what should be the standard operating procedure in case sudden release is required. This project proposes an IOT based dam management system. In this, four ultrasonic sensors namely, temperature sensor, humidity sensor, water level sensor and rain sensor are used to monitor the state of dam. Node MCU is used to interface all the sensors and send the data to the cloud. Machine learning algorithm is designed to control the opening of doors of dam via a servo motor.

Key Words

Cite This Article

"FLOOD MONITORING AND EARLY WARNING ABOUT OVERFLOWING DAM USING NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 12, page no.c725-c730, December-2021, Available :http://www.jetir.org/papers/JETIR2112295.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FLOOD MONITORING AND EARLY WARNING ABOUT OVERFLOWING DAM USING NEURAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 12, page no. ppc725-c730, December-2021, Available at : http://www.jetir.org/papers/JETIR2112295.pdf

Publication Details

Published Paper ID: JETIR2112295
Registration ID: 317973
Published In: Volume 8 | Issue 12 | Year December-2021
DOI (Digital Object Identifier):
Page No: c725-c730
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000422

Print This Page

Current Call For Paper

Jetir RMS