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光纤应变监测系统的数据不可避免的存在噪声,导致系统的虚假预警。为了有效的消除数据噪声,提高数据准确性,减小系统的预警误报,提出了一种新的数据处理方法。首先对应变数据进行小波多层滤波处理,然后用FFT低通滤波获得信号的轮廓,再用小波滤波后的信号减去FFT低通滤波后的信号,得到消除温度影响后的应变变化信号。结果表明:该方法能够有效减小温度与噪声的影响,提高光纤应变监测系统的准确率。
There is inevitable noise in the data of the optical fiber strain monitoring system, leading to a false warning of the system. In order to eliminate the data noise effectively, improve the data accuracy and reduce the false alarms of the system, a new data processing method is proposed. Firstly, the strain data is processed by wavelet multi-layer filtering, and then the contour of the signal is obtained by FFT low-pass filtering. Then the signal after the wavelet low-pass filtering is subtracted from the wavelet-filtered signal to obtain the strain change signal after eliminating the influence of temperature. The results show that this method can effectively reduce the influence of temperature and noise, and improve the accuracy of optical fiber strain monitoring system.