A Feasibility Study on Air Pollutant Detection Using Unmanned Aerial Vehicles

• Main Authors: Shou-Hao Hsuan, 宣守昊
• Other Authors: 呂志誠
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/aw8dd6

碩士 === 國立臺北科技大學 === 機電整合研究所 === 105 === The development of science and technology, air pollution is an important issue that can not be ignored. In the past, these detection methods are limited to detection mobility and sampling location. So it can’t provide real-time detection information. In order to monitor air pollutants more effectively, this study presents the conception of gas sensors installed on mobile vehicles. Used to provide a variety of air pollutants analysis data. In this study we select a NDIR sensor and a electrochemical sensor to detect CO2 and CO. Respectively, to design the experimental platform to simulate the impact of each move in the state. In Mode 1, the NDIR sensor is placed directly in a closed recirculation wind tunnel with a fixed CO2 concentration . In Mode 2, it will be added to the micro-aid auxiliary mouth intake. Both Model 1 and Mode 2 are evaluated using carbon dioxide at 30 km/h, 40 km/h, and 50 km/h. With Electrochemical sensor, Both Mode 1 and Mode 2 are each configured with a concentration of 30 ppm of carbon monoxide. Respectively, in the open wind tunnel and closed loop wind tunnel for testing. In Mode 3, N2 will be added to reduce the concentration after the stability test. Finally, the effects of the test sensors were also measured at 30 km / h, 40 km / h, 50 km / h. After the test of the NDIR sensor in the flow rate experiment, the values were compared within the NDIR sensor error range. Therefore, in the flow state does not have an impact on the NDIR sensor; After the test of the electrochemical sensors, the CO gas concentration increases with respect to the wind speed without wind speed, so the accuracy of the electrochemical sensor is affected by the wind speed.