Low-noise ice galloping monitoring of OPGW lines based on reference sensors
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摘要:
针对外场环境下光纤复合架空地线舞动周期监测困难等问题，提出一种基于参考传感器输入的弱反射光栅低噪声舞动监测阵列，通过理论模型推导了参考传感器及监测传感器信号模型及自适应滤波器信号处理步骤，并基于不同相关系数的噪声输入进行仿真，对比分析了监测传感器的降噪效果，最后将低噪声分布式弱反射光栅舞动监测系统布设于西部某自治州220 kV输电线路。外场实验结果表明，经过参考传感器构建输入信号实现自适应滤波后，平均噪声功率谱密度在100 Hz带宽内降低6.34 dB，且阵列监测强度图谱经过算法优化后，能够明显观测到监测档距内呈现约100 m舞动周期事件。该研究成果为进一步完善典型事件分类数据处理及模式识别数据库创造了一定条件，有一定的工程应用前景。
Abstract:Aiming at the difficulties in monitoring the galloping period of optical power grounded waveguide in the external field environment, a low-noise galloping monitoring array based on the input of reference sensor for weak fiber Bragg grating was proposed. The signal models for reference sensor and monitoring sensor were analyzed, and then the signal processing steps of adaptive filter through theoretical model were derived. Besides, by changing noise input with different correlation coefficients, the corresponding simulation results were calculated, so that the noise reduction effect of the monitoring sensor was compared and analyzed. Finally, the low-noise distributed galloping monitoring system based on weak fiber Bragg grating was deployed in a western autonomous prefecture with 220 kV power transmission line. The results of the field experiment show that, after self-adaptive filtering for the input signal constructed by the reference sensor, the average noise power spectral density is reduced by 6.34 dB within 100 Hz bandwidth, the monitoring intensity spectrum is optimized by the algorithm, and the galloping period events of about 100 m can be obviously observed within the monitoring interval. The research results create certain conditions for further improving the typical event classification data processing and pattern recognition database, and prove the effective prospects in engineering application.
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图 1 基于参考传感器的OPGW光缆低噪声舞动监测原理图.
Figure 1. Schematic diagram of low-noise galloping monitoring of OPGW cable based on reference sensor
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图 2 基于参考传感器的自适应算法流程图
Figure 2. Flow chart of adaptive algorithm based on reference sensor
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图 3 不同相关系数下自适应滤波对比结果
Figure 3. Comparison results of adaptive filtering under different correlation coefficients
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图 4 基于参考传感器的OPGW光缆低噪声舞动监测阵列施工现场
Figure 4. Construction site of low-noise galloping monitoring array of OPGW cable based on reference sensor
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图 5 参考传感器自适应滤波前后时域结果对比
Figure 5. Comparison of time-domain results before and after adaptive filtering of reference sensors
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图 6 参考传感器自适应滤波前后频域结果对比
Figure 6. Comparison of frequency-domain results before and after adaptive filtering of reference sensors
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