全自动紫外测油仪的开发及应用

    Development and Application of Fully Automated Ultraviolet Oil Analyzer

    • 摘要: 根据中华人民共和国国家环境保护标准HJ 970-2018《水质 石油类的测定紫外分光光度法(试行)》的测试要求,分析研究紫外分光光度法测油原理,自动化和集成化设计进样系统、萃取系统、吸附过滤系统和检测系统,研制出新型全自动紫外测油仪。重点介绍仪器结构、原理、使用及维护。通过参考JJF(闽)1141-2023《紫外测油仪校准规范》对仪器进行校准,在(0.0~16.0)mg/L测量范围时,仪器测量线性为0.9999;在测量值不大于2 mg/L时,以1.0 mg/L为例,测得仪器示值误差为−0.042 mg/L;在测量值大于2 mg/L时,以4.0 mg/L、8.0 mg/L和16.0 mg/L为例,测得仪器示值误差分别为−3.6%、−2.2%和−1.7%。此外,还对仪器重复性、最小检出浓度、零点漂移和示值漂移等项目进行了校准。通过以上各项校准实验验证仪器性能指标优良。环保工作者通过使用全自动紫外测油仪,能够降低工作强度,提高工作效率,减少有机物危害,确保环境监测工作准确高效。

       

      Abstract: According to the testing requirements of China's national environmental protection standard HJ 970-2018 “Water Quality—Determination of Petroleum—Ultraviolet Spectrophotometric Method”, the principle of ultraviolet (UV) spectrophotometric oil measurement was analyzed. Through the automated and integrated design of the injection system, extraction system, adsorption and filtration system, and detection system, a new fully automated UV oil analyzer was developed. The instrument's structure, operating principle, application, and maintenance were described in detail. The instrument was calibrated according to JJF (Min) 1141-2023 “Calibration Specification for Ultraviolet Oil Content Analyzers”. Over the range of 0.0 to 16.0 mg/L, the instrument exhibited a linear correlation coefficient of 0.9999. For measurements not exceeding 2 mg/L, using 1.0 mg/L as an example, the indication error was −0.042 mg/L. For measurements exceeding 2 mg/L, using 4.0 mg/L, 8.0 mg/L, and 16.0 mg/L as examples, the indication errors were −3.6%, −2.2%, and −1.7%, respectively. Additionally, the instrument’s repeatability, minimum detectable concentration, zero drift, and indication drift were calibrated. The results of these calibration experiments verified the instrument’s excellent performance. By using the fully automated UV oil analyzer, environmental protection workers can reduce workload, improve efficiency, minimize exposure to organic hazards, and ensure accurate and efficient environmental monitoring.

       

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