To Automate Dam Gates and Presage Floods Using Predictive Analytics Through Android Application

Authors

  • Mayuri Salunke Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • Swapnil Jadhav Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • Omkar Salvi Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • Akshay Raut Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • T.P. Vaidya Department of Computer Engineering, Sinhgad College of Engineering, Pune, India
  • N.S. Pharande Department of Computer Engineering, Sinhgad College of Engineering, Pune, India

DOI:

https://doi.org/10.37591/jomccmn.v2i2.392

Keywords:

GSM - global system for mobile communications, RTDAS - real time data acquisition system, HTTP-hyper text transfer protocol, automation in dam, predictive analytics, flood forecasting

Abstract

In today’s world the areas in the range of the dam site are feared by the disaster “Floods”. It would be profuse for the areas prone to floods if they are informed well in advance about the calamity so they could prevent losses. An android application could be built which could predict floods based on present weather conditions and also forecasting conditions. Also, in case of emergency the worker has to rush at the dam site to open/close the gates. This also could be done by the application in which the worker could automate the gates through the android application instead of panicking to the dam site. This could prevent catastrophic problems such as dam bursting in case of heavy rains. The present website which is in service of the task of looking after the dam related information only gives the static data related to dam and has no provision to control dam gates remotely. Also the website has no provision of forecasting floods.

 

Cite this Article
Mayuri Salunke, Swapnil Jadhav, Omkar Salvi et al. To Automate Dam Gates and Presage Floods Using Predictive Analytics Through Android Application. Journal of Mobile Computing, Communications & Mobile Networks. 2015; 2(2): 14–19p.

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Published

2015-07-23

Issue

Vol. 2 No. 2 (2015)

Section

Research Articles

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