Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang
{"title":"开放空间气体泄漏智能识别与定量检测研究","authors":"Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang","doi":"10.1109/CCDC52312.2021.9602397","DOIUrl":null,"url":null,"abstract":"Leakage is accident, leakage is emission. The accurate detection of gas leakage in open space will help enterprises to detect the leakage as early as possible, reducing the loss and impact of safety and environmental protection. Firstly, this paper introduces the current situation of gas leakage detection technology in the open space, and the principle of quantum cascade lasers detection technology, comparing the different technologies of open path Fourier transform infrared spectrometry, solar occultation flux, tunable diode laser absorption spectroscopy, optic gas image and so on. Then, according to the technical advantages of open path quantum cascade lasers, combined with the characterization analysis of gas type, a three-layer neural network intelligent recognition model is designed by taking the specific wavelength spectrum absorption detection value as the input and the material type as the output, 2480 groups of sample data were used to train and verify the detection accuracy. The results show that the accuracy rate of leakage gas identification is more than 98%, and the quantitative detection error is less than 8%. Finally, the paper describes an open space application test based on an unmanned aerial vehicle platform, with a horizontal distance of 150 meters and a vertical height of 30 meters, which provides a new method for rapid identification and quantitative detection of gas leakage in open space.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Intelligent Identification and Quantitative Detection of Gas Leakage in Open Space\",\"authors\":\"Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang\",\"doi\":\"10.1109/CCDC52312.2021.9602397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Leakage is accident, leakage is emission. The accurate detection of gas leakage in open space will help enterprises to detect the leakage as early as possible, reducing the loss and impact of safety and environmental protection. Firstly, this paper introduces the current situation of gas leakage detection technology in the open space, and the principle of quantum cascade lasers detection technology, comparing the different technologies of open path Fourier transform infrared spectrometry, solar occultation flux, tunable diode laser absorption spectroscopy, optic gas image and so on. Then, according to the technical advantages of open path quantum cascade lasers, combined with the characterization analysis of gas type, a three-layer neural network intelligent recognition model is designed by taking the specific wavelength spectrum absorption detection value as the input and the material type as the output, 2480 groups of sample data were used to train and verify the detection accuracy. The results show that the accuracy rate of leakage gas identification is more than 98%, and the quantitative detection error is less than 8%. Finally, the paper describes an open space application test based on an unmanned aerial vehicle platform, with a horizontal distance of 150 meters and a vertical height of 30 meters, which provides a new method for rapid identification and quantitative detection of gas leakage in open space.\",\"PeriodicalId\":143976,\"journal\":{\"name\":\"2021 33rd Chinese Control and Decision Conference (CCDC)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 33rd Chinese Control and Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC52312.2021.9602397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 33rd Chinese Control and Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC52312.2021.9602397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Intelligent Identification and Quantitative Detection of Gas Leakage in Open Space
Leakage is accident, leakage is emission. The accurate detection of gas leakage in open space will help enterprises to detect the leakage as early as possible, reducing the loss and impact of safety and environmental protection. Firstly, this paper introduces the current situation of gas leakage detection technology in the open space, and the principle of quantum cascade lasers detection technology, comparing the different technologies of open path Fourier transform infrared spectrometry, solar occultation flux, tunable diode laser absorption spectroscopy, optic gas image and so on. Then, according to the technical advantages of open path quantum cascade lasers, combined with the characterization analysis of gas type, a three-layer neural network intelligent recognition model is designed by taking the specific wavelength spectrum absorption detection value as the input and the material type as the output, 2480 groups of sample data were used to train and verify the detection accuracy. The results show that the accuracy rate of leakage gas identification is more than 98%, and the quantitative detection error is less than 8%. Finally, the paper describes an open space application test based on an unmanned aerial vehicle platform, with a horizontal distance of 150 meters and a vertical height of 30 meters, which provides a new method for rapid identification and quantitative detection of gas leakage in open space.