大型油罐不同深度的温度检测技术研究
发布时间：2018-11-23 13:45
【摘要】：电类传感器在易燃易爆环境下测量具有极大的潜在危险性,如在油罐温度、矿井粉尘浓度测量等环境中易引发爆炸,造成重大事故。基于拉曼散射理论,提出了全分布式光纤测温方案,对系统的光功率进行了估算,提出了器件选型方案、传感光纤封装与布设方案、解调与定标方案。在数据采集与处理方面,提出了整体去噪方法,即线性累加平均与小波变换软阈值配合使用的去噪方法。最后对测温系统进行了实验标定,在标定过程中,针对背向拉曼散射光强比随距离衰减的问题,提出了以e为底的指数修正方案,并用MATLAB进行了定标曲线拟合。通过测温实验、空间分辨率实验验证了系统的性能指标,测温精度为0.7℃,空间分辨率为0.7m,达到系统设计要求。
[Abstract]:The measurement of electric sensors in flammable and explosive environment has great potential danger, such as oil tank temperature, mine dust concentration measurement and so on, which can easily lead to explosion and cause serious accidents. Based on the Raman scattering theory, a fully distributed optical fiber temperature measurement scheme is proposed, the optical power of the system is estimated, the device selection scheme, the sensor fiber packaging and layout scheme, the demodulation and calibration scheme are proposed. In the aspect of data acquisition and processing, a global denoising method is proposed, that is, linear cumulative average and wavelet transform soft threshold. Finally, the temperature measurement system is calibrated experimentally. In the process of calibration, aiming at the attenuation of backscatter intensity ratio with distance, an exponential correction scheme based on e is proposed, and the calibration curve is fitted by MATLAB. The performance index of the system is verified by the experiments of temperature measurement and spatial resolution. The precision of temperature measurement is 0.7 鈩，
本文编号：2351801
[Abstract]:The measurement of electric sensors in flammable and explosive environment has great potential danger, such as oil tank temperature, mine dust concentration measurement and so on, which can easily lead to explosion and cause serious accidents. Based on the Raman scattering theory, a fully distributed optical fiber temperature measurement scheme is proposed, the optical power of the system is estimated, the device selection scheme, the sensor fiber packaging and layout scheme, the demodulation and calibration scheme are proposed. In the aspect of data acquisition and processing, a global denoising method is proposed, that is, linear cumulative average and wavelet transform soft threshold. Finally, the temperature measurement system is calibrated experimentally. In the process of calibration, aiming at the attenuation of backscatter intensity ratio with distance, an exponential correction scheme based on e is proposed, and the calibration curve is fitted by MATLAB. The performance index of the system is verified by the experiments of temperature measurement and spatial resolution. The precision of temperature measurement is 0.7 鈩，
本文编号：2351801
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