电子测量与仪器学报

李文,王利民,徐洋.顺序注射图像分析测定水质COD方法研究[J].电子测量与仪器学报,2021,35(1):96-102

顺序注射图像分析测定水质COD方法研究

Sequential injection image analysis method for determination of water quality COD

DOI：

英文关键词:chemical oxygen demand sequential injection analysis image processing partial least squares

基金项目:基于效率和微坑织构驱动的超硬材料多元智能融合加工机理基金国家自然科学基金（51205005）项目资助

作者	单位
李文	北方工业大学机电工程研究所北京100043
王利民	北方工业大学机电工程研究所北京100043
徐洋	北方工业大学机电工程研究所北京100043

Author	Institution
Li Wen	Institute of Mechanical and Electrical Engineering，North China University of Technology, Beijing 100043,China
Wang Limin	Institute of Mechanical and Electrical Engineering，North China University of Technology, Beijing 100043,China
Xu Yang	Institute of Mechanical and Electrical Engineering，North China University of Technology, Beijing 100043,China

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中文摘要:

针对化学需氧量（chemical oxygen demand, COD）传统测量方法检测时间长、操作不便、难以实现在线检测等问题，设计了一种基于顺序注射分析技术（sequential injection analysis, SIA）和图像处理技术融合的COD检测仪，系统核心在于顺序注射图像分析平台的原理设计，图像处理流程设计，以及消解检测流程设计和消解池、检测池结构设计。对SIA结合图像处理分析技术测定COD的新方法进行了实验研究。以国标水质检测标准为基础，改进设计了顺序注射图像分析检测流程，取液水样后，直接加入重铬酸钾、硫酸银进行消解，冷却后采集图像，基于单因变量偏最小二乘法，建立COD浓度对图像颜色特征值R（red）、G（green）B（blue）、H（hue）、S（saturation）、I（intensity）的回归模型，得到COD回归工作方程，复测定系数R2=0995 1，均方根误差(RMSE)为4937 3。实验结果表明，最低检出限为20 mg·L-1，重复性（相对标准偏差（RSD）≤254%）与国标法对比无显著差异，顺序注射图像分析法可稳定、高效的分析不同水样中的COD含量。基于SIA结合图像处理测定化学需氧量方法研究，有助于提升水质检测仪器的技术性能，适用于多种水质检测参数。

英文摘要:

Aiming at the problems of long detection time, inconvenient operation and difficult on line detection of traditional measurement methods of chemical oxygen demand (COD), a COD detector based on sequential injection analysis (SIA) and image processing technology is designed. The core of the system is the principle design of sequential injection image analysis platform. Image processing process design, digestion and detection process design, digestion tank and structure design of the detection pool. Experimental research on the new method of SIA combined with image processing and analysis technology to determine COD is carried out. Based on the national standard water quality detection standard, the sequential injection image analysis and detection process is improved, and after the water sample is taken, the potassium dichromate and silver sulfate are added directly to digestion, and then the image is collected after cooling. Based on the partial least squares regression of the single variable, the regression model of COD concentration on the characteristic values of image color Red(R), Green(G), Blue(B), Hue（H), Saturation(S) and Intensity(I) is established, and the regression equation is obtained. The multiple coefficient of determination R2=0995 1, and the root mean square error RMSE=4937 3. The experimental results showed that the minimum detection limit was 20 mg·L-1, and there was no significant difference in repeatability (RSD≤438%) compared with the national standard method. The system can analyze COD content in different water samples stably and efficiently. The method of COD determination based on SIA combined with image processing is helpful to improve the technical performance of water quality testing instrument and is suitable for many kinds of water quality testing parameters.

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