开放空间气体泄漏智能识别与定量检测研究

Liang Zhu, Anshan Xiao, Xiaoming Chi, Guolong Wang, Mingjun Li, Shaohua Gao, Ming Ma, He Zhang, Shengjie Zhu, Ming Jiang
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引用次数: 0

摘要

泄漏是事故,泄漏是排放。对开放空间气体泄漏的准确检测,有助于企业尽早发现泄漏,减少损失和对安全环保的影响。本文首先介绍了开放空间气体泄漏检测技术的现状,以及量子级联激光检测技术的原理,比较了开放路径傅里叶变换红外光谱、太阳掩星通量、可调谐二极管激光吸收光谱、光学气体成像等不同技术。然后,根据开放路径量子级联激光器的技术优势,结合气体类型的表征分析,设计了以特定波长光谱吸收检出值为输入,材料类型为输出的三层神经网络智能识别模型,利用2480组样本数据进行训练并验证检测精度。结果表明,泄漏气体识别准确率大于98%,定量检测误差小于8%。最后,本文描述了一种基于无人机平台的开放空间应用试验,水平距离为150米,垂直高度为30米,为开放空间气体泄漏的快速识别和定量检测提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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