IoT Based Datalogger With Realtime Data Extraction

  • Malathi K,J.A.Desa2, M.Selva Balan, Shraddha K

Abstract

There are many complex natural disasters surrounding us. Floods are among them which are very complex in nature to model. The development of flood prediction models that contribute to reduction of risk, minimize of the loss of human life, and reduce of the damage of property associated with Flood is an area of research. In this paper we are using a Data Logger for collecting data from different sensors like LM35 for temperature, DHT11 for humidity, optical laser sensor for calculating area and raspberry pi with camera for velocity calculation. We are using this data for processing, from that we are calculating discharge for flood estimation. And this processed data will go to Firebase Real time Database. The Firebase Real time Database is a database which is accessed through cloud platform. We are using firebase because it works on real time database, firebase remain responsive even when offline and it is easily accessed from a device which is mobile or any web browser.

Published
2020-07-01