南方电网技术2024，Vol.18Issue(11)：141-149,168,10.DOI:10.13648/j.cnki.issn1674-0629.2024.11.015
基于LM算法的CRDS绝缘气体特征分解产物H2S检测技术
H2S Detection Technology of CRDS Insulating Gas Characteristic Decomposition Products Based on LM Algorithm
摘要
Abstract
With the high sensitivity and fast detection speed of cavity ring-down spectroscopy(CRDS),CRDS has been applied to the field of online detection of H2S of characteristic decomposition components of insulating gases,which is of great significance for the fault state diagnosis of insulated electrical equipment.Ring-down time as the key parameter for concentration calculation,how to fit the ring-down curve to achieve the accurate solution of the ring-down time has become a major difficulty in this technical field.The high-precision fitting algorithm of the decay curve is the key factor determining the accuracy of CRDS.STM32F407 models of single-chip microcomputers are selected to establish the decay curve model,and the Levenberg-Marquardt(LM)algorithm is used to fit and combine the attenuation signals collected by H2S gas at 1578.1nm to build a CRDS experimental platform for verification.Simulations and experiments are conducted based on the LM algorithm,and compared with the least squares method.The simulation results show that the coefficient of determination R2 of the microcontroller fitting reaches 0.996,which is highly close to the offline software platform.The experimental results at different gas concentrations show that the fitting accuracies show an increasing trend.The accurate measurement of trace H2S is achieved by concentration calibration experiment,the correlation coefficient between the actual value of the gas and the measured value is 0.9925,and the absolute errors of the result do not exceed 0.5×10-6.Compared with the concentration measurement results based on the least squares method,the root mean square values of the concentration data based on the LM algorithm are smaller and the detection accuracies are higher.关键词
光腔衰荡光谱法/列文伯格-马夸尔特算法/STM32单片机/衰荡时间/非线性拟合Key words
cavity ring-down spectroscopy(CRDS)/Levenberg-Marquardt(LM)algorithms/STM32 microcontroller/ring-down time/nonlinear fitting分类
信息技术与安全科学引用本文复制引用
张欣冉,吴芳芳,吕浩楠,钱文超,蒋安昊,张潮海..基于LM算法的CRDS绝缘气体特征分解产物H2S检测技术[J].南方电网技术,2024,18(11):141-149,168,10.基金项目
国家重点研发计划资助项目(2021YFF0603100) （2021YFF0603100）
浙江省领军型创新创业团队项目(2019R01014). Supported by National Key Research and Development Program of China(2021YFF0603100) （2019R01014）
the Project of Zhejiang Provincial Leading Innovation and Entrepreneurship Team(2019R01014). （2019R01014）
