Support vector machine-based method for correcting measurement voltage values of insulator detection robots

Abstract

The invention relates to a support vector machine-based method for correcting measurement voltage values of insulator detection robots. The method comprises the following steps of: simulating insulator conditions with different low values and zero values according to an insulator distribution parameter model and an insulator detection robot equivalent circuit model, respectively calculating an insulator string voltage distribution value and when a robot does not exists and an insulator string voltage distribution value measured by the robot at each insulator, and taking the two groups of dataas samples to form a sample library; selecting a sample set, carrying out training by utilizing a support vector machine model, carrying out correction to obtain practical voltage distribution, and completing model training through model parameter optimization; and correcting measurement data by utilizing the trained model, so as to obtain real insulator string voltage distribution. According to the method, a complicated nonlinear relationship between measured voltage values and practical insulator string distribution voltage can be obtained through sample data training and learning under typical defect conditions, so as to correctly correcting measured voltage values under normal conditions and different low / zero-value insulation conditions.

Description

technical field [0001] The invention relates to the technical field of insulator robot detection for transmission line insulator strings, in particular to a support vector machine-based insulator detection robot measurement voltage value correction method. Background technique [0002] Transmission line insulators work in an outdoor environment and are affected by harsh weather or industrial pollution for a long time. They may be eroded by dust, natural hydrochloric acid, smog, acid rain, industrial waste gas and other pollutants. As the operation time prolongs, the insulation performance will decrease. In order to ensure the safe operation of transmission line insulators, it is necessary to regularly detect the deterioration of porcelain insulators. The traditional detection method is mainly manual detection, using the spark fork method, voltage distribution method, etc. to identify insulators. It is very inconvenient for long strings of insulators due to long operating rod...

AI Technical Summary

Problems solved by technology

[0003] However, the insulator detection robot may change the electric field distribution of the original insulator string during the measurement process

The equivalent electrical model of the detection robot is composed of the capacitance between the probes, the measurement resistance and the equivalent impedance of the measurement circuit. When the detection robot measures a piece of insulator, it is equivalent to connecting a branch in parallel next to the insulator, so that the overall impedance is reduced, thus The partial voltage decreases, the measured voltage value is smaller than the real value, and there is a certain deviation, which may cause misjudgment of low and zero value insulators

Moreover, when the insulator robot detects the voltage of each piece of insulator in the insulator string, the position is different, so the equivalent electrical network is constantly changing, so the measured distribution voltage value of the entire string and the distribution voltage value of the actual insulator string are complicated and nonlinear relation

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