基于无线传感器网络的智慧城市环境污染分析

Qing Zhang
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引用次数: 5

摘要

作为该领域众多独立的传感设备之一,wsn可以监测物理和环境参数,并在其他学科中应用数千种。巨大的环境变化对人类有许多有害的影响,例如空气污染。使用通过无线传感器网络(wsn)进行通信的云,可以更精确地监测污染等环境因素。如果城市被认为是聪明的,它们就必须解决空气污染问题,这是城市中一个重要的环境问题。它对人类健康产生负面影响,使个人不愿迁往城市,导致经济发展不足。这意味着WSN节点可以监测城市内外以及主要道路沿线的污染水平。本文提出了基于无线传感器网络的环境污染分析(WSN-EPA),以减少智慧城市的空气污染。已经安装了WSN节点,以持续监测城市的空气质量水平和公共交通车辆的运动。乘用车和公共交通巴士通过城市的固定节点后,会返回到原来的位置,车上的传感器会收集到空气污染颗粒的数据,比如气体、烟雾和其他污染物。公共交通、建筑物和汽车上的节点以无线方式从固定节点收集数据。一旦节点返回污染监测系统,数据将被处理。结果表明,该系统是一种视觉效果良好的环境监测系统。
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Environment Pollution Analysis on Smart Cities Using Wireless Sensor Networks
One of the numerous independent sensing devices in this sector, WSNs can monitor physical and environmental parameters and thousands of applications in other disciplines. A large environmental change has numerous harmful repercussions on human beings, such as air pollution. Using a cloud that communicates through wireless sensor networks (WSNs), environmental factors such as pollution can be monitored with greater precision. If cities are considered smart, they will have to address air pollution, a significant environmental problem in cities. It negatively impacts human health, discouraging individuals from relocating to cities, resulting in a lack of economic development. This means that WSN nodes could monitor the pollution levels in and around the city and along major thoroughfares. In this paper, wireless sensor network-based environmental pollution analysis (WSN-EPA) has been suggested to reduce air pollution in a smart city. WSN nodes have been installed to continuously monitor the city’s air quality levels and the movement of public transit vehicles. Passenger vehicles and public transit buses return to their original locations after passing through stationary nodes across the city with data on air pollution particles, such as gases, smoke, and other pollutants, collected by sensors onboard. Nodes on public transportation, buildings, and automobiles wirelessly gather data from stationary nodes. Once the nodes returned to the pollution monitoring system, the data would be processed. The findings show that the suggested system is a visually effective environmental monitoring system.
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来源期刊
Strategic Planning for Energy and the Environment
Strategic Planning for Energy and the Environment Environmental Science-Environmental Science (all)
CiteScore
1.50
自引率
0.00%
发文量
25
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