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Development of Drone Real-time Air Pollution Monitoring for Mobile Smart Sensing in Areas with Poor Accessibility

机译:可访问性差的地区用于移动智能传感的无人机实时空气污染监测的开发

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The topic of air pollution, especially in terms of particulate matter (PM), is a very serious problem in current society. This problem is caused by such factors as forest fires, construction, industrialization, and the ever-increasing number of motor vehicles. Thus, PM~(2.5) has become an important risk factor for citizens in Thailand as well as globally, not only in terms of the problems associated with health risks, but also the negative impact on the image of the country. Measuring pollution for air quality monitoring is a challenging task, especially when considering areas that have poor accessibility. The aim of this work is to develop a drone equipped with sensors to monitor and collect air quality data in real time from such areas of potential pollution. The proposed drone is called the drone for real-time air pollution monitoring (Dr-TAPM) and is equipped with the ability to measure the concentration of carbon monoxide (CO), ozone (O_3), nitrogen dioxide (NO_2), PM, and sulfur dioxide (SO_2). Additionally, the collected data is transmitted to a cloud server every second over a wireless internet connection. In this study, the measurement was conducted in the experiment area, which is considered to be in the pollutant model scenario. The experimental results are shown as graphs of quantitative pollutant levels and air quality index (AQI) values obtained from realtime monitoring on a mobile application.
机译:空气污染这一主题,特别是关于颗粒物(PM)的问题,在当今社会是一个非常严重的问题。该问题是由诸如森林火灾,建筑,工业化以及机动车数量不断增加等因素引起的。因此,PM〜(2.5)已成为泰国乃至全球公民的重要危险因素,不仅在与健康风险相关的问题上,而且在对国家形象的负面影响方面。测量污染以进行空气质量监测是一项艰巨的任务,尤其是在考虑交通不便的地区时。这项工作的目的是开发一种配备传感器的无人驾驶飞机,以实时监测和收集来自此类潜在污染区域的空气质量数据。拟议中的无人机被称为用于实时空气污染监测的无人机(Dr-TAPM),并且具有测量一氧化碳(CO),臭氧(O_3),二氧化氮(NO_2),PM和二氧化硫(SO_2)。此外,收集的数据每秒通过无线Internet连接传输到云服务器。在这项研究中,在实验区域进行了测量,这被认为是在污染物模型场景中。实验结果显示为定量污染物水平和空气质量指数(AQI)值的图形,这些图形是通过在移动应用程序上进行实时监控获得的。

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