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利用紫外光谱和最小二乘法算法对二氧化硫、硫化氢和二硫化碳混合气体进行实时测量

Real-Time Measurement of SO, HS, and CS Mixed Gases Using Ultraviolet Spectroscopy and a Least Squares Algorithm.

作者信息

Cui Zhaolun, Zhang Xiaoxing, Chen Dachang, Li Yi, Wang Yufei, Zhang Yin, Wang Hao

机构信息

School of Electrical Engineering and Automation, 12390Wuhan University, Wuhan, China.

School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China.

出版信息

Appl Spectrosc. 2021 Mar;75(3):265-273. doi: 10.1177/0003702820973227. Epub 2020 Nov 30.

DOI:10.1177/0003702820973227
PMID:33107760
Abstract

Sulfur dioxide, carbon disulfide, and hydrogen sulfide are important decomposition products of insulating gas sulfur hexafluoride, and their types and contents are of great significance for the fault diagnosis of SF insulated equipment. In this paper, a method of combining ultraviolet absorption spectroscopy and least squares fitting is proposed for the quantitative calculation of sulfur dioxide, carbon disulfide, and hydrogen sulfide mixed gases. All three gases have absorption peaks in the ultraviolet band and they overlap with each other which makes it hard to determinate the concentrations of the three gases directly. During the experiment, we found that high concentrations of sulfur dioxide and carbon disulfide interfered with the hydrogen sulfide calculation and the magnitude of this interference was positively correlated with these two gas concentrations. Therefore, we found a modified equation for the correction of hydrogen sulfide. Combined with this equation, accurate quantitative detection of three gases can be achieved. The detection ranges are 0.5-10 parts per million for sulfur dioxide and hydrogen sulfide, and 10-300 parts per billion for carbon disulfide. This paper provides a simple and efficient detection method, which is convenient for integration into detection equipment and it provides a support method for the diagnosis of sulfur hexafluoride decomposition gases.

摘要

二氧化硫、二硫化碳和硫化氢是绝缘气体六氟化硫的重要分解产物,它们的种类和含量对六氟化硫绝缘设备的故障诊断具有重要意义。本文提出了一种结合紫外吸收光谱法和最小二乘法拟合的方法,用于定量计算二氧化硫、二硫化碳和硫化氢混合气体。这三种气体在紫外波段均有吸收峰,且相互重叠,难以直接测定三种气体的浓度。实验过程中发现,高浓度的二氧化硫和二硫化碳会干扰硫化氢的计算,且这种干扰程度与这两种气体的浓度呈正相关。因此,找到了一个修正方程用于硫化氢的校正。结合该方程,可实现三种气体的准确定量检测。二氧化硫和硫化氢的检测范围为0.5 - 10 ppm,二硫化碳的检测范围为10 - 300 ppb。本文提供了一种简单高效的检测方法,便于集成到检测设备中,为六氟化硫分解气体的诊断提供了一种支持方法。

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