使用无线传感器节点和物联网的空气污染监测和地图服务

G. Saranya, M. Dharaniga, S.K. Dhanushmathi, R. Dharsheeni
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引用次数: 0

摘要

城市空气污染水平已经成为全国范围内令人震惊的现象。随着城市和工业的迅速发展,汽车、发电站和其他制造和工业设施的数量突然增加。大多数城市都面临着空气质量不达标的问题。大气中污染物浓度的指数级增长导致了各种致命的疾病。解决问题的第一步是要有较高的时空分辨率。建立空气污染监测系统和智慧城市预报系统是非常必要的。该项目利用多个无线传感器,通过污染检测传感器,装载云服务,将无线数据传输给主机,通过不同的位置和全球定位系统(GPS)监测污染。从当地收集的数据被发送到云端,因此各种污染物浓度的数据在云端进行各种分析,然后使用物联网将它们显示在应用程序上,并在应用程序上显示相应污染物浓度的污染水平,并在需要时提供必要的咨询,以便用户受益。云还存储这些数据,以便进一步提供帮助。然后,这些数据会显示在地图服务字段中,使用户能够更容易地更好地了解空气质量。该系统通过避免污染产生的原因,对智能城市的污染进行监测和减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air Pollution Monitoring and Mapping Services Using Wireless Sensor Nodes and IoT
The level of air pollution in cities has grown to become a shocking phenomenon across the country. With the rapid growth of cities and industries, there is a sudden raise in the count of automobiles, power stations, and other manufacturing and industrial facilities. Most cities are facing the problem of lack of air that can meet air quality for good health. The exponential increase in the concentration of pollutants in the atmosphere have resulted in various deadly diseases. The first step is to solve the problem is with high spatial and temporal resolution. It is really necessary to build a system for measuring air pollution and a smart city forecasting system. The project utilizes multiple wireless sensors that monitor pollution through various locations and the location with Global Positioning System (GPS) by using the pollution detection sensor and loading in cloud services and transmitting wireless data to the host. The data collected from the local area is sent to the cloud and hence the data of various concentration of the pollutants undergoes various analysis in the cloud and then using IOT they are displayed on the application and pollution level with respective pollutants concentration are displayed on the app with necessary advisory if incase required so that the user can get benefitted. The cloud also stores these data so that it can be further helpful. The data is then displayed on a mapping service field that enables the user to better understand air quality more easily. The proposed system is useful to monitor and reduce the pollution of the smart city by avoiding the causes of pollution.
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