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作 者:曹生现[1] 郑丽婷[1] 王延红[1] 李国英[1] 李思博[1]
机构地区:[1]东北电力大学自动化工程学院,吉林吉林132012
出 处:《化工自动化及仪表》2014年第5期557-562,共6页Control and Instruments in Chemical Industry
基 金:国家自然科学基金资助项目(50806010);吉林省科技发展计划项目(20125050);吉林市科技发展计划项目(201262504)
摘 要:为准确、快速分析水质铁离子浓度,在磺基水杨酸分光光度法的基础上,提出了图像特征颜色测量铁离子浓度的方法,推导建立了铁离子浓度与图像色度值、光程长的数学方程,开发了基于图像技术的铁离子分析方法和装置。该装置利用高精度彩色摄像头替代人类视觉或分光光度计,基于Lab-VIEW8.6开发了分析测试软件,采集有色溶液的图像,采用无影稳压光源为背景光源,并将采集的图像R、G、B的均值由RGB颜色空间转换到HSI颜色空间,以提高测量准确度。以该装置为研究平台,进行了水质铁离子检测的影响因素分析和实验条件优选,给出了铁离子测量的最优分析条件。在最优条件下,进行了标准曲线绘制、重复性检测和测量结果分析。结果表明:该方法相关系数达为0.9992,检出限为0.002mg/L,相对偏差范围是-0.0570%~0.0780%,与分光光度法比较,该方法准确度高、稳定性好。Based on sulfosalicylic acid spectrophotometry , and making use of color image characteristics to de-tect the iron ion concentration in water was proposed; and the mathematical equation concerning the iron ion concentration , the image chrominance values and the optical path length were deduced , including the develop-ment of image technology-based method and device for analyzing the iron ion concentration .The device devel-oped can replace the visual or spectrophotometer with high-precision color webcam; the LabVIEW8.6-based analyzing and measuring software helps the device collect the image of colored solution automatically ; taking shadowless stabilize light as the background light , and transforming RGB of image R, G, B’ s mean collected to HSI color space so as to improve the detection accuracy .Taking the device as a platform , analyzing the fac-tors which influencing the iron ion detection in water and optimizing experimental conditions were implemen -ted , including the presence of optimal analysis conditions for iron ion detection .Under the optimal conditions , analyzing the standard curve , repeatability and detection result shows that this method outperforms the spectro-photometry in accuracy and stability , its linear correlation coefficient can reach 0 .999 2 , and its detection lim-it stays at 0.002mg/L together with a-0.057%~0.078 0%relative deviation.
分 类 号:TH83[机械工程—仪器科学与技术]
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