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Application of Internet of Things (IoT) on air pollution monitoring database system

机译:物联网在空气污染监测数据库系统中的应用

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摘要

In the present work, a database system of air pollution monitoring is developed using Internet of Things (IoT) technology. The system aims to give structural information and trace of air pollution level at particular monitoring station. The particular monitoring location (node) is connected to IoT/M2M server via GSM network using GPRS feature and display on IoT/M2M application in web form. The database on IoT/M2M contains name, description, and location of the monitoring station, Pollution index and the time when the data are taken. On IoT/M2M, the data are displayed either in a color bar graph or a line graph. The color indicated the index value of the pollution. The data can be accessed via internet on isfuonline.info . The system is tested at laboratory environment to detect CO, SO2, NO2, O3, and PM. The test result shows that the system is worked well. Time required to transfer the monitoring data to the IoT server is about 15 minutes. Meanwhile, response time of the system is 30 minutes.
机译:在当前的工作中,使用物联网(IoT)技术开发了一个空气污染监测数据库系统。该系统旨在提供特定监测站的结构信息和空气污染水平的跟踪。特定的监视位置(节点)使用GPRS功能通过GSM网络连接到IoT / M2M服务器,并以Web形式显示在IoT / M2M应用程序上。 IoT / M2M上的数据库包含监视站的名称,描述和位置,污染指数以及数据获取的时间。在IoT / M2M上,数据以彩色条形图或折线图显示。颜色表示污染的指标值。可以通过isfuonline.info上的Internet访问数据。该系统在实验室环境下进行了测试,以检测CO,SO2,NO2,O3和PM。测试结果表明该系统运行良好。将监控数据传输到IoT服务器所需的时间约为15分钟。同时,系统的响应时间为30分钟。

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