使用位置感知无人机和802.11 Ad-Hoc网络的污染监测系统

T. Landolsi, A. Sagahyroon, M. Mirza, O. Aref, F. Maki, S. Maki
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引用次数: 9

摘要

在当今的城市环境中,高效、实时、经济的污染监测系统变得越来越重要。在本文中,我们提出了一种污染监测系统的设计,该系统由无人驾驶飞行器或无人机的自组网Wi-Fi网络组成,该网络配备了单板计算机、摄像机和几个气体传感器,如一氧化碳、臭氧和甲烷。该系统的地面站有一个服务器,便于与无人机通信,并根据传感器数据计算空气质量指数(AQI)。为了降低功耗,无人机之间建立的无线自组织网络被设计成离地面站最近的无人机将自己的感知数据和其他距离较远的无人机的感知数据进行中继。该基站将记录的污染数据、全球定位系统(GPS)坐标、时间戳和视频馈送保存在一个数据库中,用于创建实时污染地图。存储的历史数据可以用于长期趋势分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pollution Monitoring System using Position-Aware Drones with 802.11 Ad-Hoc Networks
Efficient, real-time, and cost-effective pollution monitoring systems are becoming more and more important in nowadays urban environments. In this paper, we present the design of a pollution monitoring system consisting of an ad-hoc Wi-Fi network of unmanned aerial vehicles, or drones, equipped with a single-board computer, a video camera, and several gas sensors such as carbon monoxide, ozone, and methane. The ground station of this system has a server that facilitates the communication with the drones, and calculates the air quality index (AQI) from the sensors data. For the purpose of lowering power consumption, the wireless ad-hoc network established between the drones is designed such that the closest one to the ground station relays its own sensed data and that of other far away drones. The base station keeps the logged pollution data, global positioning system (GPS) coordinates, time stamps, and video feeds in a database used to create real-time pollution maps. Stored historical data can be used for long-term trend analysis.
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