Line icing monitoring system based on micro-meteorological monitoring and svm algorithm

Abstract

The invention discloses a line icing monitoring system based on micro-meteorological monitoring and SVM algorithm, comprising: a Raman sensing module, a Brillouin sensing module, a comprehensive Rayleigh scattering module, a time division multiplexing module, and an icing area monitoring module, ice coating thickness monitoring module, wind speed monitoring module, and SVM-based ice coating alarm module, monitoring the icing area of ​​overhead transmission line based on the temperature value of each point on the OPGW; monitoring the icing area of ​​the overhead transmission line based on the strain value of each point on the OPGW, etc. The thickness of ice coating is measured; the wind speed of the overhead transmission line is monitored according to the vibration frequency of the OPGW; the early warning of ice coating is carried out according to the temperature value, strain value and wind speed of each point on the OPGW. The line icing monitoring system based on the micro-meteorological monitoring and the SVM algorithm disclosed in the embodiment of the present invention can improve the accuracy of judging the icing of the power transmission line.

Description

technical field [0001] The power grid technology of the embodiments of the present invention particularly relates to a line icing monitoring system based on micro-meteorological monitoring and SVM algorithm. Background technique [0002] High-voltage overhead lines are exposed to the wild for a long time, especially EHV / UHV transmission lines have long distances, wide distribution, and complex terrain. In hilly, mountainous areas and other areas, under extreme weather such as freezing rain, ice and snow in winter, the line is more likely to be produce ice. The icing of the transmission line can lead to the damage of electrical insulation performance and cause flashover in light, and it can lead to disasters such as disconnection and tower collapse. [0003] At present, the main methods for monitoring the icing state of lines in the power system are: video monitoring method, weighing / tension sensor and inclination sensor. Distributed optical fiber sensors have high sensitiv...

AI Technical Summary

Problems solved by technology

At present, Polarization Optical Time-Domain Reflectometer (POTDR) technology and Brillouin Optical Time-Domain Reflectometer (BOTDR) sensors are mainly used to monitor ice coverage, but these methods can only measure a single physical quantity, Insufficient sensing distance, difficulty in decoupling strain temperature, etc.

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