基于聚类算法的城市供排水水质检测系统  

Urban Water Quality Detection System for Water Supply and Drainage Based on Clustering Algorithm

作　　者：郑海峰 ZHENG Hai-feng(Jinan Engineering Quality and Safety Center,Jinan 250014 China)

机构地区：[1]济南市工程质量与安全中心,山东济南250014

出　　处：《自动化技术与应用》2024年第5期62-66,共5页Techniques of Automation and Applications

摘　　要：城市供排水水质检测需要使用多种仪器、步骤繁杂,设计一种基于聚类算法的城市供排水水质自动检测系统。硬件设计方面,设计多参数水质检测仪,在传感器检测模块中,应用传感器实施城市供排水水质中余氯、pH值、TDS值以及温度的检测。设计控制单片机用于系统检测控制。软件设计方面,基于自适应密度峰值聚类算法实施光谱信号数据挖掘,在水质检测融合模块中,设计水质检测融合模型,输出各项目对应的检测结果。测试结果表明,通过设计系统能够实现供水水质与排水水质的自动检测,说明该系统有一定应用前景。Urban water supply and drainage quality detection needs to use a variety of instruments and complicated steps.An automatic detection system for urban water supply and drainage quality based on clustering algorithm is designed.In terms of hardware design,a multi parameter water quality detector is designed.In the sensor detection module,the sensor is used to detect the residual chlorine,pH value,TDS value and temperature in the urban water supply and drainage quality.The single-chip microcomputer is designed for system detection and control.In the aspect of software design,spectral signal data mining is implemented based on the adaptive density peak clustering algorithm.In the water quality detection fusion module,the water quality detection fusion model is designed to output the detection results corresponding to each item.The test results show that the system can realize the automatic detection of water supply and drainage quality,which shows that the system has a certain application prospect.

关 键 词：聚类算法 光谱检测 余氯传感器 多参数水质检测仪 城市供排水 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]