基于图像识别技术的总碱度自动测定方法  

Automatic determination of total alkalinity based on image identification technology

作　　者：秦玉华[1,2] 王东兵[1] 张海燕[1] 欧佳[1] 徐志明[1] 

机构地区：[1]东北电力大学化学工程学院,吉林132012 [2]琼州学院理工学院,三亚572000

出　　处：《仪器仪表学报》2011年第11期2585-2589,共5页Chinese Journal of Scientific Instrument

基　　金：科技部973国家重点基础研究发展规划项目(2007CB206904);海南省自然科学基金(511117);琼州学院博士启动基金(QYXB201103)资助项目

摘　　要：提出了一种基于图像识别技术的水中总碱度的自动测量方法及装置。以盐酸为滴定剂,溴甲酚绿为指示剂,根据酸碱中和原理,利用等当点时溶液R、G、B值的突跃确定滴定终点,从而测出水中总碱度。实验结果表明,该方法测量碱度的线性范围为0.2～40 mmol/L,相对标准偏差为0.43%,加标回收率为96.4%～102.6%。用于工业循环冷却水中总碱度的测定,具有操作简便、准确度高的特点,可实现碱度的自动测量。A new automatic measuring method and device of alkalinity in water based on image identification technology are proposed in this paper.Based on the principles of acid-base titration,hydrochloric acid is used as the titrant and bromcresol green as the indicator,the equivalent point of titration is identified by a RGB-based value that is calculated using a proposed procedure based on red,green and blue color system;and the total alkalinity of the water can be measured.Experimental results show that the linear range of alkalinity detection ranks is from 0.2 to 40 mmol/L.This method gives a reproducibility of 0.43% R.S.D and a recovery rate of 96.4%—102.6%.This method has the advantage of simplicity and accuracy when applied in total alkalinity measurement of industrial circulating cooling water.The automatic measurement of alkalinity can be achieved.

关 键 词：图像识别 总碱度 溴甲酚绿 

分 类 号：O652.9[理学—分析化学]