Mechanic and Mechatronics Department, National Technological Institute La Laguna, Blvd. Revolución & Calz. Cuauhtemoc S/N, Torreon 27000, Coahuila, Mexico.
Translational Biomedical Engineering Department, University of Guadalajara, Av. Revolución #1500, Guadalajara 44430, Jalisco, Mexico.
Sensors (Basel). 2022 Feb 22;22(5):1706. doi: 10.3390/s22051706.
Deaths caused by respiratory and cardiovascular diseases have increased by 10%. Every year, exposure to high levels of air pollution is the cause of 7 million premature deaths and the loss of healthy years of life. Air pollution is generally caused by the presence of CO, NO, NH, SO, particulate matter PM and PM, mainly emitted by economic activities in large metropolitan areas. The problem increases considerably in the absence of national regulations and the design, installation, and maintenance of an expensive air quality monitoring network. A smart multi-sensor system to monitor air quality is proposed in this work. The system uses an unmanned aerial vehicle and LoRa communication as an alternative for remote and in-situ atmospheric measurements. The instrumentation was integrated modularly as a node sensor to measure the concentration of carbon monoxide (CO), nitrogen dioxide (NO), ammonia (NH), sulfur dioxide (SO), and suspended particulate mass PM and PM. The optimal design of the multi-sensor system has been developed under the following constraints: A low weight, compact design, and low power consumption. The integration of the multi-sensor device, UAV, and LoRa communications as a single system adds aeeded flexibility to currently fixed monitoring stations.
因呼吸和心血管疾病导致的死亡人数增加了 10%。每年，暴露在高水平的空气污染环境下是导致 700 万人过早死亡和丧失健康寿命的原因。空气污染通常是由 CO、NO、NH、SO、颗粒物 PM 和 PM 的存在引起的，主要是由大都市地区的经济活动排放的。在缺乏国家法规以及昂贵的空气质量监测网络的设计、安装和维护的情况下，这个问题会大大增加。在这项工作中，提出了一种用于监测空气质量的智能多传感器系统。该系统使用无人驾驶飞行器和 LoRa 通信作为远程和原位大气测量的替代方案。该仪器设备被集成到一个模块化的节点传感器中，用于测量一氧化碳（CO）、二氧化氮（NO）、氨（NH）、二氧化硫（SO）和悬浮颗粒物质量 PM 和 PM 的浓度。多传感器系统的优化设计是在以下约束条件下进行的：重量轻、结构紧凑、功耗低。多传感器设备、无人机和 LoRa 通信的集成作为一个单一系统，为当前固定监测站增加了所需的灵活性。
