Department of Information and Communication Engineering, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, Taichung 413310, Taiwan.
Sensors (Basel). 2021 May 23;21(11):3630. doi: 10.3390/s21113630.
The Environmental Protection Administration of Taiwan's Executive Yuan has set up many air quality monitoring stations to monitor air pollution in the environment. The current weather forecast also includes information used to predict air pollution. Since air quality indicators have a considerable impact on people, the development of a simple, fast, and low-cost method to measure the AQI value is a worthy topic of research. In this study, a method was proposed to estimate AQI. Visibility had a clear positive relationship with AQI. When images and AQI were compared, it was easy to see that visibility decreased with the AQI value increase. Distance is the main factor affecting visibility, so measuring visibility with images has also become a research topic. Images with high and low PM concentrations were used to obtain regions of interest (RoI). The pixels in the RoI were calculated to obtain high-frequency information. The high-frequency information of RoI, RH, and true AQI was used for training via SVR, which was used to generate the model for AQI estimation. One year of experimental samples was collected for the experiment. Two indices were used to evaluate the performance of the proposed method. The results showed that the proposed method could be used to estimate AQI with acceptable performance in a simple, fast, and low-cost way.
台湾行政院环保署设立了许多空气质量监测站，监测环境中的空气污染。目前的天气预报也包括用于预测空气污染的信息。由于空气质量指标对人们有相当大的影响，因此开发一种简单、快速且低成本的方法来测量 AQI 值是一个值得研究的课题。在本研究中，提出了一种估计 AQI 的方法。可见度与 AQI 呈明显正相关。当将图像与 AQI 进行比较时，很容易看出可见度随 AQI 值的增加而降低。距离是影响能见度的主要因素，因此使用图像测量能见度也成为一个研究课题。使用高浓度和低浓度 PM 的图像来获取感兴趣区域（RoI）。计算 RoI 中的像素以获取高频信息。使用 RoI、RH 和真实 AQI 的高频信息通过 SVR 进行训练，用于生成 AQI 估计模型。收集了一年的实验样本进行实验。使用两个指标来评估所提出方法的性能。结果表明，所提出的方法可以以简单、快速且低成本的方式，以可接受的性能来估计 AQI。
