化工自动化及仪表
化工自動化及儀錶
화공자동화급의표
CONTROL AND INSTRUMENTS IN CHEMICAL INDUSTRY
2014年
5期
557-562
,共6页
曹生现%郑丽婷%王延红%李国英%李思博
曹生現%鄭麗婷%王延紅%李國英%李思博
조생현%정려정%왕연홍%리국영%리사박
铁离子浓度%图像技术%HIS%优化%标准曲线
鐵離子濃度%圖像技術%HIS%優化%標準麯線
철리자농도%도상기술%HIS%우화%표준곡선
iron ion concentration%image technology%HIS%optimization%standard curve
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。
為準確、快速分析水質鐵離子濃度,在磺基水楊痠分光光度法的基礎上,提齣瞭圖像特徵顏色測量鐵離子濃度的方法,推導建立瞭鐵離子濃度與圖像色度值、光程長的數學方程,開髮瞭基于圖像技術的鐵離子分析方法和裝置。該裝置利用高精度綵色攝像頭替代人類視覺或分光光度計,基于Lab-VIEW8.6開髮瞭分析測試軟件,採集有色溶液的圖像,採用無影穩壓光源為揹景光源,併將採集的圖像R、G、B的均值由RGB顏色空間轉換到HSI顏色空間,以提高測量準確度。以該裝置為研究平檯,進行瞭水質鐵離子檢測的影響因素分析和實驗條件優選,給齣瞭鐵離子測量的最優分析條件。在最優條件下,進行瞭標準麯線繪製、重複性檢測和測量結果分析。結果錶明:該方法相關繫數達為0.9992,檢齣限為0.002mg/L,相對偏差範圍是-0.0570%~0.0780%,與分光光度法比較,該方法準確度高、穩定性好。
위준학、쾌속분석수질철리자농도,재광기수양산분광광도법적기출상,제출료도상특정안색측량철리자농도적방법,추도건립료철리자농도여도상색도치、광정장적수학방정,개발료기우도상기술적철리자분석방법화장치。해장치이용고정도채색섭상두체대인류시각혹분광광도계,기우Lab-VIEW8.6개발료분석측시연건,채집유색용액적도상,채용무영은압광원위배경광원,병장채집적도상R、G、B적균치유RGB안색공간전환도HSI안색공간,이제고측량준학도。이해장치위연구평태,진행료수질철리자검측적영향인소분석화실험조건우선,급출료철리자측량적최우분석조건。재최우조건하,진행료표준곡선회제、중복성검측화측량결과분석。결과표명:해방법상관계수체위0.9992,검출한위0.002mg/L,상대편차범위시-0.0570%~0.0780%,여분광광도법비교,해방법준학도고、은정성호。
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.