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Leakage source location based on Gaussian plume diffusion model using a near-infrared sensor
Infrared Physics & Technology ( IF 3.3 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.infrared.2020.103411
Weilin Ye , Bo Zhou , Zihan Tu , Xupeng Xiao , Jingwen Yan , Tao Wu , Fupei Wu , Chuantao Zheng , Frank K. Tittel

Abstract Developing sensitive sensors to measure trace gas concentration levels is important for environmental monitoring. Leakage source location based on measured concentration levels to prevent potential danger is of significance. A near-infrared methane (CH4) sensor system with a modulation frequency of 4 kHz targeting the absorption line at 6046.95 cm−1 and an Allan deviation of 850 parts-per-billion by volume (ppbv) was employed for leakage source location. A static odor source localization algorithm based on the Gauss plume diffusion model and a least square method is proposed. Formulations and equations of leakage location were deduced. An iterative search program was used to obtain the optimal solution. Simulation result showed the synthetic location error of 7.91%, which was close to the experimental result of 8.93%. Feasibility of the location algorithm was verified through the comparison.

中文翻译:

使用近红外传感器基于高斯羽流扩散模型的泄漏源定位

摘要 开发灵敏的传感器来测量痕量气体浓度水平对于环境监测非常重要。根据测得的浓度水平定位泄漏源以防止潜在危险具有重要意义。具有 4 kHz 调制频率的近红外甲烷 (CH4) 传感器系统以 6046.95 cm-1 处的吸收线为目标,Allan 偏差为 850 ppbv,用于泄漏源定位。提出了一种基于高斯羽流扩散模型和最小二乘法的静态气味源定位算法。推导出泄漏位置的公式和方程。使用迭代搜索程序来获得最佳解决方案。仿真结果表明,综合定位误差为7.91%,与实验结果8.93%接近。
更新日期:2020-09-01
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