基于光谱法和ZigBee技术的水质监测系统设计  

Design of Water Quality Monitoring System Based on Spectral Method and ZigBee Technology

作　　者：侯家振[1] 樊飞燕[1] 黄明坤 

机构地区：[1]南昌工程学院,信息工程学院,江西 南昌

出　　处：《计算机科学与应用》2022年第8期1974-1980,共7页Computer Science and Application

摘　　要：水质监测是治理保护水资源的前提和基础,可以为环境管理提供数据和资料。光谱法水质检测技术是在线水质监测领域的重要发展方向。在对光谱法原理开展研究后,结合传感器及互联网技术,本文提出一种基于树型拓扑结构的水质监测系统模型,硬件方面选取CC2530 + ESP8266作为设计开发芯片,软件开发平台选择IAR EM8051,实现了对水质的化学需氧量(COD)、浊度值实时采集,并对数据实施访问权限、预警处理。在对10组COD标准溶液和10组随机溶液进行测量后,发现数据误差率最大不超过3.3%,误差平均值为1.1%;对5组标准浊度溶液进行测量,数据误差率最大不超过3.4%,误差平均值为1.48%。实验表明:水质监测系统运行稳定可靠,能满足水质监测应用需求,为水质保护提供技术支撑。Water quality monitoring is the premise and basis of water resources management and protection, which can provide data and information for environmental management. Spectral water quality detection technology is an important development direction in the field of online water quality monitoring. After studying the principle of spectroscopy and combining sensor and Internet tech-nology, this paper proposes a water quality monitoring system model based on tree topology structure. CC2530 + ESP8266 is selected as the design and development chip in hardware, and IAR EM8051 is selected as the software development platform. The chemical oxygen demand (COD) and turbidity value of water quality are collected in real time, and the access rights and early warning processing are implemented for the data. After measuring 10 groups of COD standard solution and 10 groups of random solution, it is found that the error rate of the data is not more than 3.3%, and the average error is 1.1%. The maximum error rate was 3.4% and the average error rate was 1.48% for five groups of standard turbidity solutions. The experimental results show that the water quality monitoring system runs stably and reliably, which can meet the application requirements of water quality monitoring and provide technical support for water quality protection.

关 键 词：水质监测 光谱法 CC2530 化学需氧量 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论]