紫外差分吸收光谱法定量分析SF_6分解物SO_2和H_2S技术
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摘要
分解物SO_2和H_2S表征SF_6电气设备内部缺陷,是SF_6电气设备试验必检项,对两种气体的准确定量分析直接关系到SF_6电气设备内部缺陷种类和定位的正确判断。现有的现场检测技术不足以解决气体组分之间的干扰问题,因此,本文开展了相关选型和设计工作,获得基于紫外差分吸收光谱法的SO_2和H_2S混合气体检测装置。采用差分法提取SO_2和H_2S紫外吸收光谱的快变部分,通过吸光度的扣减和浓度反演,去除在紫外吸收光谱区域H_2S和SO_2的交叉干扰问题。对其测试的原始谱图进行数字滤波处理,去噪后获得平滑波形,进一步进行FFT变换和线性拟合,拟合优度达到0.999 9,提高了SF_6背景气体中SO_2和H_2S混合气体检测的灵敏度。所研制装置在系统信噪比为1时,混合气体中SO_2在190～230 nm和280～320 nm波段的检测极限分别为0.108μL/L和0.444μL/L,H_2S在190～230 nm波段检测极限为0.490μL/L,为现场检测应用奠定了基础。
The decomposition products SO_2 and H_2S characterize the internal defects of SF_6 electrical equipment and they are also mandatory inspection items for testing of SF_6 electrical equipment. Accurate quantitative analyses of these two gases are directly related to the correct judgment of the defect type judgment and defect location within the SF_6 electrical equipment. The existing detection technology is not sufficient to solve the problem of interference between gas components. Therefore, related selection and design work have been carried out in this paper. A SO_2 and H_2S mixed gas detection device based on ultraviolet differential absorption spectroscopy has been obtained. Differential methods are used to extract the fast-changing part of the UV absorption spectra of SO_2 and H_2S, and remove the intersection problem between SO_2 and H_2S in the UV-absorbing spectral region by absorbance deduction and concentration inversion. The original spectrum is processed by digital filtering, a smooth waveform is obtained after denoising, and further FFT transformation and linear fitting are carried out. The result of the goodness of fit is 0.999 9, proving that the detection sensitivity of SO_2 and H_2S mixed gases in background gas SF_6 has been improved. Using this device, when the signal-to-noise ratio of system is 1, the detection limit of SO_2 in the mixed gas at 190 nm to 230 nm is 0.108 μL/L, and 280 nm to 320 nm is 0.444 μL/L, the detection limit of H_2S at 190 nm to 230 nm is 0.490 μL/L, which lays the foundation for on-site inspection applications.
The decomposition products SO_2 and H_2S characterize the internal defects of SF_6 electrical equipment and they are also mandatory inspection items for testing of SF_6 electrical equipment. Accurate quantitative analyses of these two gases are directly related to the correct judgment of the defect type judgment and defect location within the SF_6 electrical equipment. The existing detection technology is not sufficient to solve the problem of interference between gas components. Therefore, related selection and design work have been carried out in this paper. A SO_2 and H_2S mixed gas detection device based on ultraviolet differential absorption spectroscopy has been obtained. Differential methods are used to extract the fast-changing part of the UV absorption spectra of SO_2 and H_2S, and remove the intersection problem between SO_2 and H_2S in the UV-absorbing spectral region by absorbance deduction and concentration inversion. The original spectrum is processed by digital filtering, a smooth waveform is obtained after denoising, and further FFT transformation and linear fitting are carried out. The result of the goodness of fit is 0.999 9, proving that the detection sensitivity of SO_2 and H_2S mixed gases in background gas SF_6 has been improved. Using this device, when the signal-to-noise ratio of system is 1, the detection limit of SO_2 in the mixed gas at 190 nm to 230 nm is 0.108 μL/L, and 280 nm to 320 nm is 0.444 μL/L, the detection limit of H_2S at 190 nm to 230 nm is 0.490 μL/L, which lays the foundation for on-site inspection applications.
引文
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[2]唐炬.防御变电设备内绝缘故障引发电网停电事故的基础研究[J].高电压技术,2012,38(6):1281-1291.
[3]林涛,韩冬,钟海峰,等.工频交流电晕放电下SF6气体分解物形成的影响因素[J].电工技术学报,2014(2):219-225.
[4]唐炬,李涛,万凌云,等. SF6气体分解组分的多功能试验装置研制[J]. 高电压技术,2008,34(8):1583-1588.
[5]汲胜昌,钟理鹏,刘凯,等.SF6放电分解组分分析及其应用的研究现状与发展[J].中国电机工程学报,2015,35(9):2318-2332.
[6]唐炬,陈长杰,张晓星,等. 微氧对SF6局部放电分解特征组份的影响[J]. 高电压技术,2011,37(1):8-14.
[7]ZHANG Xiaoxing, ZHANG Jinbin, JIA Yichao, et al. TiO2 nanotube array sensor for detecting the SF6 decomposition product SO2[J].Sensors,2012,12(3):3302-3313.
[8]国家能源局.六氟化硫电气设备故障气体分析和判断方法:DL/T 1359—2014 [S]. 北京:中国电力出版社,2015.
[9]电力设备检修试验规程:Q/CSG 1206007—2017[S].
[10]ZHANG Xiaoxing, LIU Heng, REN Jiangbo, et al. Fourier transform infrared spectroscopy quantitative analysis of SF6 partial discharge decomposition components[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2015, 136: 884-889.
[11]唐炬,范敏,谭志红,等.SF6局部放电分解组分光声检测信号交叉响应处理技术[J].高电压技术,2013,39(2):257-264.
[12]ZHANG X, CHENG Z, LI X. Cantilever enhanced photoacoustic spectrometry: Quantitative analysis of the trace H2S produced by SF6 decomposition [J]. Infrared physics & technology, 2016, 78:31-39.
[13]ZHAO Y,WANG X,DAI D,et al.Partial discharge early-warning through ultraviolet spectroscopic detection of SO2[J]. Measurement Science & Technology,2014,25(3):116-121.
[14]李亚飞,蔡小舒. 差分吸收光谱法在线监测烟气SO2浓度的直接反演法[J]. 中国电机工程学报,2010,30(29): 74-79.
[15]YAN R,EDWARDS T J,PANKRATZ L M,et al.A fast cross-validation method for alignment of electron tomography images based on Beer-Lambert law[J]. Journal of Structural Biology,2015,192(2):297-306.
[16]张自嘉,潘琦,陈海秀.带电粒子的瑞利散射研究[J].光学学报,2015,35(5):376-382.
[17]韦民红,童敏明,肖建于,等.基于差分吸收光谱技术的大气痕量气体重建算法[J].仪器仪表学报,2015,36(2):287-293.
[18]王达成. 长程差分吸收检测大气方法的研究[D].长春:长春理工大学,2008.