Air Quality Index Mapping Using Programmable Unicopter Drone Swarm-Iot(Internet Of Things)

Abstract

Abstract—Unmanned Aerial Vehicles (UAVs) with the advances in technologies are becoming more common, UAVs has become a platform to gather data that simply human cannot reach. With the mobility of a drone, it can cover a lot of area in a single take, greatly benefiting the data gathering process, While conventional model drones like quadcopter configurations are too big and too costly. To tackle those issues, this thesis proposed the use of an Unicopter drone design that can make the cost of making the drone unit and the data gathering process by combining it with an Air Quality Measurement Device that uses DHT22 as the humidity and temperature sensor and MQ-135 as the air quality sensor. Which can be programmed to capture the air quality data. The result is Unicopter that can interval takes detect air quality, send it to the Firebase, and displayed it via smartphone. All of the tests are carried out on Sukapura Football Field. The result showed a slight difference in the quality of data when the drone has a different placement for the sensor. The maximum quality when it is moved is 124 PPM and when it is not is 103 PPM. This is because of the intensity while the drone is moving. Besides that, there is no difference between the temperature and the humidity result, with a maximum of 24C and 99.6% humidity. With the difference in the quality of data, the result is almost accurate.
Keyword drone, unicopter, programable, air quality measurement, IoT;