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基于石墨烯化学电阻的无人机挂载式气体传感平台,用于远程现场监测。

Drone-Mountable Gas Sensing Platform Using Graphene Chemiresistors for Remote In-Field Monitoring.

机构信息

Department of Physics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

出版信息

Sensors (Basel). 2022 Mar 19;22(6):2383. doi: 10.3390/s22062383.

DOI:10.3390/s22062383
PMID:35336554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8954879/
Abstract

We present the design, fabrication, and testing of a drone-mountable gas sensing platform for environmental monitoring applications. An array of graphene-based field-effect transistors in combination with commercial humidity and temperature sensors are used to relay information by wireless communication about the presence of airborne chemicals. We show that the design, based on an ESP32 microcontroller combined with a 32-bit analog-to-digital converter, can be used to achieve an electronic response similar, within a factor of two, to state-of-the-art laboratory monitoring equipment. The sensing platform is then mounted on a drone to conduct field tests, on the ground and in flight. During these tests, we demonstrate a one order of magnitude reduction in environmental noise by reducing contributions from humidity and temperature fluctuations, which are monitored in real-time with a commercial sensor integrated to the sensing platform. The sensing device is controlled by a mobile application and uses LoRaWAN, a low-power, wide-area networking protocol, for real-time data transmission to the cloud, compatible with Internet of Things (IoT) applications.

摘要

我们提出了一种用于环境监测应用的无人机载气体传感平台的设计、制造和测试。该平台采用基于石墨烯的场效应晶体管阵列与商用湿度和温度传感器相结合,通过无线通信来传递关于空气中化学物质存在的信息。我们表明,该设计基于 ESP32 微控制器与 32 位模数转换器相结合,可以实现与最先进的实验室监测设备相似的电子响应,在两倍以内。然后,将传感平台安装在无人机上,在地面和飞行中进行现场测试。在这些测试中,我们通过实时监测与传感平台集成的商用传感器来减少湿度和温度波动的贡献,从而将环境噪声降低了一个数量级。传感设备由移动应用程序控制,并使用 LoRaWAN(一种低功耗、广域网协议)进行实时数据传输到云,兼容物联网 (IoT) 应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ea594c80b75d/sensors-22-02383-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/81c5a28c2955/sensors-22-02383-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ce461a248207/sensors-22-02383-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/e4dd0e071b18/sensors-22-02383-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/38734419485c/sensors-22-02383-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ccadf52f83b9/sensors-22-02383-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/fbf9f03e1c78/sensors-22-02383-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ea594c80b75d/sensors-22-02383-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/81c5a28c2955/sensors-22-02383-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ce461a248207/sensors-22-02383-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/e4dd0e071b18/sensors-22-02383-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/38734419485c/sensors-22-02383-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ccadf52f83b9/sensors-22-02383-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/fbf9f03e1c78/sensors-22-02383-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8678/8954879/ea594c80b75d/sensors-22-02383-g007.jpg

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