Escuela de Ingenierías Industriales, Universidad de Extremadura, 06006 Badajoz, Spain.
Ray Ingeniería Electrónica, 10540 Mirabel, Spain.
Sensors (Basel). 2022 Feb 8;22(3):1272. doi: 10.3390/s22031272.
We present a device based on low-cost electrochemical and optical sensors, designed to be attached to bicycle handlebars, with the aim of monitoring the air quality in urban environments. The system has three electrochemical sensors for measuring NO and O and an optical particle-matter (PM) sensor for PM. and PM concentrations. The electronic instrumentation was home-developed for this application. To ensure a constant air flow, the input fan of the particle sensor is used as an air supply pump to the rest of the sensors. Eight identical devices were built; two were collocated in parallel with a reference urban-air-quality-monitoring station and calibrated using a neural network (R > 0.83). Several bicycle routes were carried out throughout the city of Badajoz (Spain) to allow the device to be tested in real field conditions. An air-quality index was calculated to facilitate the user's understanding. The results show that this index provides data on the spatiotemporal variability of pollutants between the central and peripheral areas, including changes between weekdays and weekends and between different times of the day, thus providing valuable information for citizens through a dedicated cloud-based data platform.
我们提出了一种基于低成本电化学和光学传感器的设备，设计用于安装在自行车车把上，旨在监测城市环境中的空气质量。该系统有三个电化学传感器用于测量 NO 和 O，以及一个光学颗粒物（PM）传感器用于测量 PM 和 PM 浓度。电子仪器是为此应用专门开发的。为了确保稳定的气流，颗粒物传感器的输入风扇被用作其余传感器的空气供应泵。我们构建了八个相同的设备；其中两个与一个参考城市空气质量监测站并行配置，并使用神经网络进行校准（R > 0.83）。在巴达霍斯市（西班牙）进行了几条自行车路线，以允许该设备在实际现场条件下进行测试。计算了空气质量指数以方便用户理解。结果表明，该指数提供了污染物在中心和外围区域之间的时空变化的数据，包括工作日和周末之间以及一天中不同时间之间的变化，从而通过专用的基于云的数据平台为市民提供了有价值的信息。
