基于分布式传感器网络的空气和水质实时监测

A. Onay, Yasin Akın, Ali Kafalı, Erol Çıracı
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引用次数: 0

摘要

如今,空气和水的质量是城市的一个大问题,因为它们深深地影响着人类的健康。为了确定空气和水的质量,本研究利用物联网(IoT)技术开发了包含多个传感器的无线传感器节点的监测系统。它定期监测各种参数,如温度、湿度、杆压、风向、最大风速、平均风速、一小时降雨量、一天降雨量、空气质量监测$PM_{2.5}$和PM10,水质监测用水、废水、来水、pH传感器、电导率传感器、浊度传感器、溶解氧和温度传感器。为了改善智慧城市环境,空气和水质监测必须是普遍的,无处不在,并迅速响应。基于物联网的监测系统能够实时跟踪空气和水污染,并通过广域网快速传输信息。该系统可以与智能城市等创新方法相结合。因此,对实时监控系统的需求将日益增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Air and Water Quality Monitoring based on Distributed Sensor Network
Nowadays, air and water quality are a big problem in the cities because they affect human health deeply. To determine air and water quality, the monitoring system containing a wireless sensor node having several sensors has been developed with the internet of things (IoT) technology in this study. It regularly monitors various parameters such as temperature, humidity, bar pressure, wind direction, wind speed max, wind speed average, rain fall one hour, rain fall one day, $PM_{2.5}$ and PM10 for air quality monitoring and consumed water, waste water, incoming water, pH sensor, conductivity sensor, turbidity sensor, dissolved oxygen and temperature sensors for water quality monitoring. To improve smart city environments, air and water quality monitoring has to be common, present everywhere, and rapidly responsive. The monitoring system based on IoT is able to track air and water pollution in real time and transmit the information fast through a wide area network. This system can be integrated with innovative approaches like smart city. Therefore, the demand for a real time monitoring system will increase day by day.
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