Journal Press India®

Weather Monitoring using AWS Cloud Computing

Vol 8 , Issue 2 , April - June 2020 | Pages: 110-115 | Research Paper  

https://doi.org/10.51976/ijari.822019

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Author Details ( * ) denotes Corresponding author

1. Rama Krishna Mullapudi, Department of Electronics and communication Engineering, Andhra Loyola Institute of Engineering and Technology Vijayawada, Vijayawada, Andhra Pradesh, India
2. * Mallika G., Department of Electronics and communication Engineering, Andhra Loyola Institute of Engineering and Technology Vijayawada, Vijayawada, Andhra Pradesh, India (mallika.gajjala@gmail.com)
3. Nikitha K., Department of Electronics and communication Engineering, Andhra Loyola Institute of Engineering and Technology Vijayawada, Vijayawada, Andhra Pradesh, India
4. Bhanu Sree M. Department of Electronics and communication Engineering, Andhra Loyola Institute of Engineering and Technology Vijayawada, Vijayawada, Andhra Pradesh, India

The system proposed is an advanced solution for weather monitoring that uses AWS IoT to make its real time data easily accessible over a very wide range. The system deals with monitoring weather and climate changes like temperature, humidity, pressure, altitude using sensors and Raspberry pi as a controller. These sensors data will be stored in the AWS Dynamo DB. The data uploaded to the Cloud can easily be accessible from anywhere in the world. The data gathered in the Cloud can also be used for future references. The project even consists of a MQTT(Message Queuing Telemetry Transport Protocol) protocol that sends Messages/mails as an effective alert system to warn people about sudden and drastic weather changes. Due to the compact design and fewer moving parts this design requires less maintenance. The components in this project don’t consume much power. Compared to other devices that are available in the market the Smart weather monitoring system is cheaper and cost effective. This project can be of great use to weather stations, aviation and marine industries and even the agricultural industry.

Keywords

Internet of things; Raspberry pi; Sensors


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