基于近红外DOAS法的充油电力设备中CH_4浓度在线检测系统的设计

Design of Online Defect Detection System for CH_4's Concentration in Oil-filled Power Equipment Based on Near Infrared DOAS

针对充油电力设备中主要特征气体的光谱重叠问题,设计了近红外DOAS法的在线检测CH4浓度的系统模型,分析并实现了充油电力设备中CH4气体的实验测量技术和数据处理方法;根据Lambert-Beer定律,利用CH4气体吸收光谱的快变部分在线测定其浓度,为分析判断充油电力设备的潜伏性故障奠定基础。

In view of spectral overlap of main characteristic gas in oil-filled power equipment,a near infrared DOAS system model was designed to detect CH4,s concentration on-line,which aimed at studying on its experimental measurement techniques and data processing methods.According to the Lambert-Beer＇s law,fast part of CH4＇s absorption spectrum was adopted to determine its concentration on-line,which laid the foundation for analysis and assessment of the oil-filled power equipment latent faults.