Method and device for status evaluation of power transmission equipment based on multi-source heterogeneous data

Abstract

The present invention provides a method and device for state evaluation of power transmission equipment based on multi-source heterogeneous data. Among the heterogeneous data, the multi-source heterogeneous data includes parameters and the parameter values ​​corresponding to the parameters, and key data matching the parameter set in the state evaluation guide are extracted; key data are input into the pre-trained transmission equipment defect classification model , to obtain the classification result of transmission equipment defect; input the classification result of transmission equipment defect into the pre-trained transmission equipment defect evaluation model, and judge the current operation status of power transmission equipment according to the output result of the transmission equipment defect evaluation model. The embodiment of the present invention adopts defect classification and defect evaluation for multi-source heterogeneous data, and uses multi-algorithm cooperation to improve the intelligent analysis level of power transmission equipment evaluation, thereby improving the accuracy of power transmission equipment evaluation.

Description

technical field [0001] The present invention relates to the technical field of power systems, in particular to a method and device for evaluating the status of power transmission equipment. Background technique [0002] The safety of power transmission equipment is the basis for safe, reliable and stable operation of the power grid. Effective and accurate assessment, diagnosis and prediction of equipment status will not only directly affect subsequent risk assessment and maintenance decisions, but also improve power supply reliability and power grid An important way to run the level of intelligence. [0003] In order to ensure the stable operation of the power system to a greater extent and grasp the operating status of the power system in real time, my country has proposed the construction of a smart grid, which requires the use of new technical methods to realize online monitoring of the operating status of transmission lines and equipment. , On the transmission line, the ...

AI Technical Summary

Problems solved by technology

[0004] In order to better evaluate the status of power transmission equipment, relevant data processing methods based on big data have gradually matured and have begun to be applied to power systems, such as neural networks, support vector machines, Bayesian networks, rough set theory, correlation analysis, Gray theory and other related algorithms have been applied to a certain extent in the engineering practice of power system data analysis, and have achieved corresponding results, but a single algorithm will expose the shortcomings of the algorithm itself when dealing with certain problems, and the application process will In the state evaluation of power transmission equipment, the information system is isolated, the judgment is highly subjective, and the intelligent analysis is insufficient.

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