An improved quadratic polynomial fitting method is applied to extract Brillouin frequency shift from Brillouin spectrum along optical fiber to improve the real-time performance of strain measurement along optical fiber composite overhead lines in the distribution Internet of Things in electricity. The principle of the improved quadratic polynomial fitting method is to use the median filter algorithm to improve the accuracy of spectrum peak location, and then select the symmetric Brillouin spectrum for quadratic polynomial fitting. The spectrum fitting method based on the Lorentzian model, the original and improved quadratic polynomial fitting methods are used to extract Brillouin frequency shift according to the Brillouin spectra with different signal-to-noise ratios. The results reveal that the improved quadratic polynomial fitting method has the similar accuracy with the spectrum fitting method based on the Lorentzian model, and the computation time is only about 1/100 of that of the latter. This work provides a reference to improve the real-time performance of strain measurement for overhead lines in distribution Internet of Things in electricity.
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