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    基于分布式光纤传感三维干涉校正的高精度智能专业仓温度环境监测

    High Precision Intelligent Professional Warehouse Temperature Environment Monitoring Based on Distributed Fiber Sensing Multi-Dimensional Interference Correction

    • 摘要: 针对智能型供电所专业仓内部温度监测抗干扰性差的问题,提出了高精度三维空间校正方法,适用于弱反射光栅温度监测阵列。对3×3耦合器端口的多路干涉输出构建空间级数据,通过坐标旋转和最小二乘法得到空间矩阵变换,并进一步通过空间映射矩阵求解,最后计算出三路信号直流分量和交流分量系数,通过系数校正输出高精度干涉信号。仿真结果表明,该方法能有效计算三路信号直流及交流分量系数,相对传统二维椭圆拟合结果更有优势,Pearson相关系数R2可达0.999 703 4以上。利用所提出算法进行重复性实验,计算干涉信号直流及交流分量系数,得到了标准差小于0.006的稳定结果,证明了该方法对温度监测的有效性,对未来事件分类后续处理具有一定工程应用前景。

       

      Abstract: Aiming at the problem of poor anti-interference of temperature monitoring in professional warehouse of intelligent power supply station, a high-precision three-dimensional space correction method is proposed, which is suitable for temperature monitoring array with weak reflection grating. The three-dimensional spatial data of the three interference signals output by the 3×3 coupler is constructed, and the space matrix transformation is obtained by coordinate rotation and least square method, and further solved by space mapping matrix. Finally, the DC component and AC component coefficients of the three signals are calculated, and the high-precision interference signals are output by coefficient correction. The simulation results show that the proposed method can effectively calculate the DC and AC component coefficients of the three-way signal, and has more advantages than the traditional two-dimensional ellipse fitting results. The Pearson correlation coefficient R2 can reach more than 0.999 703 4. The proposed algorithm is used to carry out repeated experiments, calculate the DC and AC component coefficients of interference signals, and obtain stable results with standard deviation less than 0.006, which proves the effectiveness of the method for temperature monitoring, and has a certain engineering application prospect for future event classification and subsequent processing.

       

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