基于物联网的水质在线监测系统设计与实现
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西安邮电大学 通信与信息工程学院,西安邮电大学 通信与信息工程学院,西安邮电大学 通信与信息工程学院

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TP216

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陕西省教育厅服务地方专项,西安邮电大学研究生创新基金资助项目


Designing and implemention of Online Water Quality Monitoring System Based on Internet of Things
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    摘要:

    针对以往水质监控系统水质传感器数据采集盲区多,传统处理器、通信模块无法满足大量的数据的处理和传输等问题。设计并实现了一种基于物联网技术的水质在线监测系统。该系统由数据采集节点、数据汇聚节点与监测中心计算机构成。设计了以INA118仪用放大器为核心的微弱信号调理电路,通过STM32微处理器进行实时数据采集和处理,结合ZigBee低速短距离和CDMA2000高速远距离通信等物联网技术将水质数据上传至物联网云平台。监测中心计算机通过下载物联网云平台数据实时显示。通过测量数据的对比性实验,结果表明整个系统的实时性好、测量精度较高,温度,pH值和电导率的平均相对误差分别约为0.64%,1.33%和2.33%,能够较好地满足水质监测的要求。

    Abstract:

    Focusing on the deficiencies of previous water quality monitoring and controlling systems such as the blind area of data acquisition in water quality sensor, a functional conventional processor and communication module that can't meet the need of a large amount of data processing and transmission, an online water quality monitoring system based on Internet-of-Things(IOT) technology is designed. The system consists of data acquisition node, data gathering node and monitoring center computer. This system uses INA118 amplifier as the core of weak signal conditioning circuit, and STM32 microprocessor to do real-time data acquisition and processing, and can upload water quality data to the cloud platform of IOT combined with IOT technologies of telecommunication such as low speed over short distances of ZigBee and high speed over long distances of CDMA200. Monitoring center computer can display real-time data by downloading from the IOT cloud. The measurement data of the comparative experiments shows that the whole system has a good real-time quality with high measurement accuracy. The average relative error of temperature, PH value and conductivity is about 0.64%, 1.33% and 2.33% respectively, and this result shows that the system can meet the requirements of water quality monitoring well.

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赵小强,陈升伟,张朋波.基于物联网的水质在线监测系统设计与实现计算机测量与控制[J].,2015,23(11):52.

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  • 收稿日期:2015-06-04
  • 最后修改日期:2015-07-02
  • 录用日期:2015-07-03
  • 在线发布日期: 2015-11-18
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