GIS中SO2气体紫外光谱检测及数据处理

摘要

Partial discharge of Gas Insulated Switchgear ( GIS) brings SF6 decomposition,and then the safety of the device de-clines.To address this problem,the SO2 was selected as the feature label of partial discharge detection,then quantitatively the SO2 was detected and the experimental platform based on the ultraviolet spectrum detection method was set up.This method was easy to realize rapid on-site test.In order to improve the accuracy of the equipment,firstly,the principle of singular value decomposition ( SVD) was used to filter spectral data,then the absorbencies of three special wavelength were chosen as basis of SO 2 detection to jointly detect the SO2 volume fraction to avoid error.The experimental results show that the error of SO2 volume fraction is within 5 percent,so it can satisfy the requirements of on-site test.%气体绝缘组合电器（ GIS）设备内发生的局部放电会使绝缘气体SF6分解，从而导致设备安全性下降。针对此问题选取SO2作为局放检测的特征标识物，依据紫外光谱检测法对SO2进行定量检测并搭建实验平台，该方法便于实现现场快速检测。为提高设备精度，首先利用奇异值分解原理对光谱数据进行滤波处理，为减小系统误差选取3个特定波长点的吸光度作为SO2检测依据进行联合检测体积分数。实验结果表明，应用紫外检测SO2体积分数误差率在5％以内，满足现场检测要求。