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Particulate Matter Measurement Using Unmanned Aerial Vehicle : Developing of the Inlet systems
This thesis was commissioned by Tampere University of Applied Sciences. Research related to application of Unmanned Aerial Vehicles had been conducted by the Department of Physics in TAMK and students of Energy and Environmental Engineering degree program in previous years. Providing opportunities for academical research in the area. The aim of the thesis is to determine optimal inlet system for the particulate matter measurement sensor that is simultaneously suitable for installation on the body of an Unmanned Aerial Vehicle, in case of this study drone DJI Phantom 4 Pro. Particulate matter concentration behavior was studied in the first experiment of pollution mapping in Physics Laboratory at TAMK. Using data of PM2.5 and PM10 mass concentrations extracted from Trotec PC220 and DustTrak air quality sensors, color grip maps were produced. They indicated the rate at which particulate matter was settling. Relationship of the results from two sensors was determined. It was then used to correct PM10 concentration data extracted by Trotec in order to analyze results comprehensively. The second part of the experiment involved test flights of the drone with cone inlet system and ‘stack of plates’ system attached to it at 15 and 40 centimeters above the drone. According to the results, it takes PM10 8 minutes to settle below the value of 100 μg/m3 and 11 minutes for PM2.5 to settle below 50 μg/m3. The set-up that performed the best was the ‘stack of plate’ system at 15 cm, while the funnel shape of the cone system seemed to have collected twice as much particles. Weight limitation for Phantom 4 Pro was found at 680 grams, at which point the set-up and the drone started produce oscillations with an amplitude of approximately 20 centimeters. Further studies on the subject under different conditions and particle contamination systems are needed to find more about correlation between types of inlet systems and their performance in practical applications.
Particulate Matter Measurement Using Unmanned Aerial Vehicle : Developing of the Inlet systems
This thesis was commissioned by Tampere University of Applied Sciences. Research related to application of Unmanned Aerial Vehicles had been conducted by the Department of Physics in TAMK and students of Energy and Environmental Engineering degree program in previous years. Providing opportunities for academical research in the area. The aim of the thesis is to determine optimal inlet system for the particulate matter measurement sensor that is simultaneously suitable for installation on the body of an Unmanned Aerial Vehicle, in case of this study drone DJI Phantom 4 Pro. Particulate matter concentration behavior was studied in the first experiment of pollution mapping in Physics Laboratory at TAMK. Using data of PM2.5 and PM10 mass concentrations extracted from Trotec PC220 and DustTrak air quality sensors, color grip maps were produced. They indicated the rate at which particulate matter was settling. Relationship of the results from two sensors was determined. It was then used to correct PM10 concentration data extracted by Trotec in order to analyze results comprehensively. The second part of the experiment involved test flights of the drone with cone inlet system and ‘stack of plates’ system attached to it at 15 and 40 centimeters above the drone. According to the results, it takes PM10 8 minutes to settle below the value of 100 μg/m3 and 11 minutes for PM2.5 to settle below 50 μg/m3. The set-up that performed the best was the ‘stack of plate’ system at 15 cm, while the funnel shape of the cone system seemed to have collected twice as much particles. Weight limitation for Phantom 4 Pro was found at 680 grams, at which point the set-up and the drone started produce oscillations with an amplitude of approximately 20 centimeters. Further studies on the subject under different conditions and particle contamination systems are needed to find more about correlation between types of inlet systems and their performance in practical applications.
Particulate Matter Measurement Using Unmanned Aerial Vehicle : Developing of the Inlet systems
Gubaydullina, Aliya (author)
2019-01-01
Miscellaneous
Electronic Resource
English
DDC:
690
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