基于紫外差分吸收光谱法的SF6分解组分CS2定量检测

doi:10.19595/j.cnki.1000-6753.tces.171090

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摘要 SF₆作为电气绝缘设备中最常用的绝缘气体,对它的分解组分的检测与研究是相关设备故障诊断和在线监测的重要内容。CS₂作为一种常见的固体绝缘缺陷下的SF₆特征分解产物,在紫外190~210nm波段具有很强的吸收特性。基于紫外差分吸收光谱技术,搭建针对CS₂的紫外光谱检测平台。首先通过实验获得不同浓度CS₂的紫外吸收光谱,再利用基线扣除、小波处理等手段提取吸收光谱中的有效信号,消除了光谱中的高低频噪声,通过快速傅里叶变换（FFT）将光谱信息转换到频域,建立气体浓度与光谱频域特征值之间的线性关系。研究表明,该方法对CS₂检测重复性好,在10~200nL/L范围内的线性拟合度高（R₂=0.999 6）,检出下限为2.584nL/L/m,为SF₆绝缘设备分解组分中痕量CS₂的在线监测提供了技术支持。

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	崔兆仑
	孟凡生
	程政
	李亚龙
	张晓星

关键词 ： CS₂, SF₆, 紫外差分吸收光谱, 浓度反演, 在线监测

Abstract：SF₆ has been widely used as insulating gas in electrical insulation equipment. The research of its decomposition components is an important content for the equipment fault diagnosis and online monitoring. CS₂ is one of the common SF₆ decomposition components under the solid insulation defects. CS₂ has absorption spectra in the UV band of 190~210nm. Based on the ultraviolet differential absorption spectroscopy (UV-DOAS), the UV spectrum detection platform was established. Firstly, the UV absorption spectrum of CS₂ was obtained by experiments. Baseline deduction and wavelet processing methods were used to extract the effective signal in the absorption spectrum, which eliminated high and low frequency noise in the spectrum. Then, the spectral information is converted to the frequency domain by fast fourier transformation (FFT), and the linear relationship between the gas concentration and the spectral frequency domain eigenvalue was gained. The detection method of CS₂ shows good linearity (R₂=0.999 6) in the range of 10~200nL/L and satisfactory repeatability. The detection limit is 2.584nL/L. The method shows a potential for on-line monitoring of trace CS₂ in decomposition components of SF₆ insulation equipment.

Key words： CS₂ SF₆ ultraviolet differential absorption spectrum (UV-DOAS) concentration inversion online monitoring

收稿日期: 2017-07-19 出版日期: 2018-09-26

PACS:

TM83

基金资助:国家自然科学基金资助项目（51537009）

通讯作者: 张晓星男,1972年生,教授,博士生导师,研究方向为气体绝缘设备在线监测与诊断。E-mail: xiaoxing.zhang@outlook.com

作者简介: 崔兆仑男,1993年生,博士研究生,研究方向为SF6分解组分检测与诊断。E-mail: 2012302540205@whu.edu.cn

引用本文:

崔兆仑, 孟凡生, 程政, 李亚龙, 张晓星. 基于紫外差分吸收光谱法的SF₆分解组分CS₂定量检测[J]. 电工技术学报, 2018, 33(18): 4389-4396. Cui Zhaolun, Meng Fansheng, Cheng Zheng, Li Yalong, Zhang Xiaoxing. Quantitative Detection of the CS₂ Produced by SF₆ Decomposition Based on Ultraviolet Differential Optical Absorption Spectrometry. Transactions of China Electrotechnical Society, 2018, 33(18): 4389-4396.

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