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基于γ吸收与电磁感应电导法的铀酸联合实时监测仪研制

Development of a Combined Monitor for Monitoring Uranium and Nitric Acid Concentrations Based onγAbsorption Method and Conductivity Method
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摘要 后处理工艺料液中铀浓度和硝酸浓度都是过程控制的重要数据,采用取样分析的方式存在分析效率低、辐射剂量风险等问题,因此本文提出了一种将γ吸收法测量铀浓度与电磁感应法测量硝酸浓度相结合的设计方案,研制了γ吸收探头、电导探头、数据解析软件、数采控制模块等组成的铀酸联合实时监测仪,以配制的铀-硝酸溶液吸光度和电导率数据为基础数据,使用最小二乘法对基础数据进行二维数据拟合,建立铀浓度、硝酸浓度、吸光度和电导率之间的数学模型。仪器研制完成后对其进行了性能测试,结果表明在铀浓度:30~350 g/L、硝酸浓度:1~4 mol/L范围内,铀浓度测量相对误差为1.2%(FS),硝酸浓度测量相对误差为2.6%(FS),且仪器具有良好的安全性能和抗干扰能力。 The rapid and accurate analysis of uranium concentration and nitric acid concentration is an important process control data in the post-process plant,and there are problems such as low analysis efficiency and radiation dose risk by sampling analysis,so this paper proposes a design scheme that combines the measurement of uranium concentration byγabsorption method with the measurement of nitric acid concentration by conductivity method.Based on the absorbance and conductivity data of the prepared uranium-nitric acid solution,the data fitting of the basic data is carried out by using the least squares method,and the mathematical model between uranium concentration,nitric acid concentration,absorbance and conductivity are established.After the development of the instrument,the performance test showed that in the range of uranium concentration:30~350 g/L and nitric acid concentration:1~4 mol/L,the measurement relative error of uranium concentration was 1.2%,the measurement relative error of nitric acid concentration was 2.6%,and the instrument had good safety performance and anti-interference ability.
作者 王志强 房映彤 王志恒 侯留东 秦永泉 李力 刘权卫 WANG Zhiqiang;FANG Yingtong;WANG Zhiheng;HOU Liudong;QIN Yongquan;LI Li;LIU Quanwei(China Nuclear Power Engineering Co.,Ltd.,Beijing 100840;CNNC Engineering Research Center for Fuel Reprocessing,Beijing 100840)
出处 《核电子学与探测技术》 CAS 北大核心 2024年第4期711-720,共10页 Nuclear Electronics & Detection Technology
关键词 γ吸收 电磁感应式电导 最小二乘法 铀浓度 硝酸浓度 在线监测 γabsorption conductivity method least squares uranium concentration nitric acid concentration online monitoring
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