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Smart Sensor Network Based High Quality Air Pollution Monitoring System Using Labview

机译:基于Labview的基于智能传感器网络的高质量空气污染监测系统

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A ZigBee based wireless sensor network is implemented in this paper which is of low-cost solar-powered air quality monitoring system. The main objective of the proposed architecture is to interfacing various sensors to measure the sensor analog data and displayed in LabVIEW on the monitor using the graphical user interface (GUI). ?The real time ambient air quality monitoring in smart cities is of greater significance for the health of people. The wireless network sensor nodes are placed at different traffic signals in the smart cities which collect and report real-time data on different gases which are present in the environment such as carbon monoxide (CO), nitrogen dioxide (NO2), methane (CH4) and humidity. The proposed system allows smart cities to monitor air quality conditions on a desktop/laptop computer through an application designed using graphical programming based LabVIEW software and provides an alert if the air quality characteristics exceed acceptable levels. The sensor network was successfully tested on the campus of the institute of aeronautical engineering, Hyderabad. The sensor data are indicated by different indicators on the front panel of LabVIEW and also different charts are plotted with respect to time and amplitude which explains the severity of polluted areas.
机译:本文实现了一种基于ZigBee的无线传感器网络,该网络是低成本的太阳能空气质量监测系统。所提出体系结构的主要目的是连接各种传感器以测量传感器模拟数据,并使用图形用户界面(GUI)在LabVIEW中显示在LabVIEW中。智能城市的实时环境空气质量监测对人们的健康具有更大的意义。无线网络传感器节点位于智能城市中的不同交通信号处,这些城市收集并报告有关环境中存在的不同气体(例如一氧化碳(CO),二氧化氮(NO2),甲烷(CH4))的实时数据和湿度。拟议的系统允许智能城市通过使用基于图形化编程的LabVIEW软件设计的应用程序监视台式机/笔记本电脑上的空气质量状况,并在空气质量特征超过可接受水平时发出警报。传感器网络已在海得拉巴航空工程学院的校园内成功测试。传感器的数据由LabVIEW前面板上的不同指示器指示,并且就时间和幅度绘制了不同的图表,这些图表解释了污染区域的严重程度。

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