Classifier training method of optical cable vibration interruption early warning system
A technology of early warning system and training method, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve problems such as the inability to identify the cause of vibration, and achieve the effect of improving efficiency
Active Publication Date: 2019-09-10
GUANGDONG POWER GRID CO LTD +1
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[0006] The embodiment of the invention discloses a classifier training method for an optical cable vibration interruption early warning system, which is used to solve the technical problem that the optical fiber vibration detection system in the prior art cannot identify the cause of vibration
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[0037] The embodiment of the invention discloses a classifier training method for an optical cable vibration interruption early warning system, which is used to solve the technical problem that the optical fiber vibration detection system in the prior art cannot identify the cause of vibration.
[0038] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0039] see figure 1 and figure 2 One embodiment of a classifier training method of an optical cable vibration in...
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The embodiment of the invention discloses a classifier training method of an optical cable vibration interruption early warning system. The classifier training method is used for solving the technicalproblem that an optical fiber vibration detection system in the prior art cannot identify vibration reasons. The method comprises the steps of obtaining a training signal sample; extracting the maximum values of the amplitudes, the duration time and the absolute values of the first-order difference values of the obtained training signal samples as feature vectors; randomly dividing all training signal samples into two groups, taking 3 / 4 training signal samples as training group samples, and taking the rest 1 / 4 training signal samples as test group samples; taking all training signal samples in each group as a whole, and calculating feature vectors of the group; calculating a feature vector value for the test group samples, and then classifying the test group samples by using a classifier;comparing the test grouping result of each test group sample plate signal with the actual grouping result of the signal so as to obtain the classification accuracy, and finishing the training of theclassifier when the accuracy is within a preset range.
Description
technical field [0001] The invention relates to the technical field of power communication cable maintenance, in particular to a classifier training method for an optical cable vibration interruption early warning system. Background technique [0002] Power communication optical cables carry a large number of real-time control services for power production, and the interruption of the main communication optical cables will seriously threaten the safe operation of the power grid. Therefore, preventing power communication optical cable interruption is the key work of power communication operation and maintenance. According to the statistical data over the years, the main reason for the failure of the power optical cable is that the optical cable is damaged by external forces, including various types of construction digging and hanging up, mice and other small animals biting and breaking, cable trenches burning and burning, roadbed collapse and crushing, typhoons, mountain fire...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/08G06F2218/12G06F18/214
Inventor 张珮明
Owner GUANGDONG POWER GRID CO LTD