Yongtao Chen, Shiling Zhang, Q. Yao, Y. Miao, Ni Qiu
{"title":"Quantitative Detection of SO2 H2S and CS2 Based on Ultraviolet Absorption Spectrometry and Least Squares Algorithm","authors":"Yongtao Chen, Shiling Zhang, Q. Yao, Y. Miao, Ni Qiu","doi":"10.1109/ei250167.2020.9347117","DOIUrl":null,"url":null,"abstract":"$SO_{2}, CS_{2}$ and $H_{2}S$ are important decomposition gases of $SF\\epsilon$. Their kinds and contents are of great significance for the diagnosis of $SF\\epsilon$ gas insulation equipment. In this paper, a method combining UV absorption spectroscopy with least square fitting is proposed for the quantitative calculation of three kinds of $SF\\epsilon$ decomposition components. Therefore, we have obtained the correction formula for the calculation of $H_{2}S$ concentration in the higher concentration range. Combined with this formula, we can realize the accurate quantitative detection of three gases. The detection range is 1-10ppm for SO2 and $H_{2}S$, and 30-300ppb for CS2. This paper provides a simple and efficient detection method, which is easy to integrate into the detection equipment, and provides a method support for the online monitoring of $SF\\epsilon$ insulation equipment","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ei250167.2020.9347117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
$SO_{2}, CS_{2}$ and $H_{2}S$ are important decomposition gases of $SF\epsilon$. Their kinds and contents are of great significance for the diagnosis of $SF\epsilon$ gas insulation equipment. In this paper, a method combining UV absorption spectroscopy with least square fitting is proposed for the quantitative calculation of three kinds of $SF\epsilon$ decomposition components. Therefore, we have obtained the correction formula for the calculation of $H_{2}S$ concentration in the higher concentration range. Combined with this formula, we can realize the accurate quantitative detection of three gases. The detection range is 1-10ppm for SO2 and $H_{2}S$, and 30-300ppb for CS2. This paper provides a simple and efficient detection method, which is easy to integrate into the detection equipment, and provides a method support for the online monitoring of $SF\epsilon$ insulation equipment