Semi-Autonomous UAV based Weather and Air Pollution Monitoring System

Mahesh Kumar Guin, Shivashankar Hiremath, M. H. Shrishail

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

With air pollution increasing at an alarming rate, it has drastic health and economic effects on the urban centers across the world. Optimized monitoring and controlling methods are required for obtaining the good performance of the sensors. It is important to mitigate disasters due to pollution; the proposed work has contributed to monitoring the atmosphere's pollutant concentration with greater precision. To use a semi-autonomous unmanned aerial vehicle to remotely measure the air pollution at a suitable height and wirelessly transmit the data logged into the ground station. The ground station directly updates the server's real-time values to be monitored using the simulation software's graphical user interface. The CO2, CO, Temperature, and Humidity values are collected, and proper algorithms are used to prevent data duplication and practical data extraction from the database. The ultra-high frequency (UHF) band is used for wireless transmission. It helps the Quadcopter mounted sensor module to monitor a large area while simultaneously updating the server's values. This type of pollution monitoring can help plants such as refineries, integrated industries, thermal power plants, etc., to regulate pollutants' emissions to the atmosphere. The semi-autonomous UAV-based data collection and testing are carried in the field of polluted areas.

Original languageEnglish
Article number012091
JournalJournal of Physics: Conference Series
Volume1921
Issue number1
DOIs
Publication statusPublished - 29-05-2021
Event1st International Conference on Advances in Smart Sensor, Signal Processing and Communication Technology, ICASSCT 2021 - Goa, India
Duration: 19-03-202120-03-2021

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Semi-Autonomous UAV based Weather and Air Pollution Monitoring System'. Together they form a unique fingerprint.

Cite this