基于物联网技术的丹江流域水质监测预警系统设计

Design of Danjiang River Basin Water Quality Monitoring and Early Warning System Based on Internet of Things Technology

为加强秦岭地区生态环境保护,确保“一江清水送京津”,该文基于物联网技术设计了一种集监测、通信、显示、预警等多种功能于一体的丹江流域水源地水质监测预警系统。通过ZigBee无线传感网络和4G网络对水源地水质数据进行采集、传输至监测中心。监测中心采用人工蜂群算法对BP神经网络预测模型的权值和阈值进行优化,建立了ABC-BP水质参数预测模型,减小了预测误差,实现了pH值、DO、导电率、水温等水质的实时显示和预警功能。实验结果表明,该系统能更好地对水源地水质进行智能控制,达到保护生态环境的目的。

In order to strengthen the ecological environment protection of the Qinling Mountains and ensure that“a river of clear water is sent to Beijing and Tianjin”,this paper designs a Dan River that integrates monitoring,communication,display,early warning and other functions based on the Internet of things technology.Water quality monitoring and early warning system for water sources in the river basin.Through ZigBee wireless sensor network and 4G network,the water quality data of the water source is collected and transmitted to the monitoring center.The monitoring center uses the artificial bee colony algorithm to optimize the weights and thresholds of the BP neural network prediction model,establishes the ABC-BP water quality parameter prediction model,reduces the prediction error,and achieves water quality such as pH,DO,conductivity and water temperature.Real-time display and early warning function.The experimental results show that the system can better intelligently control the water quality of the water source and achieve the purpose of protecting the ecological environment.