Abnormal power grid data identification method and device, terminal equipment and storage medium
A recognition method and data technology, applied in data processing applications, neural learning methods, character and pattern recognition, etc., can solve the problem of low recognition accuracy of abnormal power grid data, and achieve the effect of improving recognition accuracy and high accuracy
Pending Publication Date: 2022-05-24
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID QINGHAI ELECTRIC POWER COMPANY +2
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[0005] The main purpose of the present invention is to provide a method, device, terminal equipment and storage medium for identifying abnormal power grid data, aiming to solve the technical problem of low identification accuracy of abnormal power grid data using existing technical means in the prior art
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[0050]The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0051] refer to figure 1 , figure 1 It is a schematic structural diagram of a terminal device of the hardware operating environment involved in the solution of the embodiment of the present invention.
[0052] Generally, the terminal device includes: at least one processor 301, a memory 302, and a program for identifying abnormal grid data stored on the memory and executable on the processor, the program for identifying abnormal grid data...
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The invention discloses a method for identifying abnormal power grid data, which comprises the following steps of: dividing power grid data to be identified by utilizing a date division strategy to obtain a plurality of initial division data; dividing the plurality of initial divided data by using an event division strategy to obtain a plurality of result divided data; determining a plurality of selected classifiers corresponding to the plurality of result divided data in a preset classifier set, wherein the preset classifier set comprises classifiers corresponding to different divided data; inputting each group of result division data into a corresponding selected classifier to obtain a classification result corresponding to each group of result division data; and obtaining abnormal power grid data corresponding to the to-be-identified power grid data based on the plurality of classification results. The invention further discloses an abnormal power grid data recognition device, terminal equipment and a storage medium. By using the method provided by the invention, the accuracy of the obtained classification result is relatively high, so that the technical effect of improving the recognition accuracy of the abnormal power grid data is achieved.
Description
technical field [0001] The invention relates to the technical field of power grid data management, in particular to a method, device, terminal device and storage medium for identifying abnormal power grid data. Background technique [0002] When the power grid resonates, it will cause overvoltage and inrush current, which will cause problems such as malfunction of power grid protection, threat to the insulation of power equipment, and burning of power grid voltage transformers. In recent years, with the rapid development of new energy sources, the grid topology has become more complex, resulting in an increased possibility of grid resonance. [0003] Existing resonance identification technologies usually perform feature extraction based on grid voltage, current and other information to obtain valid grid data. At present, a method for identifying abnormal power grid data has been proposed, which can be used to identify abnormal power grid data by distance, or identify abnorm...
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Login to View More IPC IPC(8): G06K9/62G06N3/04G06N3/08G06Q50/06
CPCG06Q50/06G06N3/08G06N3/045G06F18/2415Y04S10/50
Inventor 刘可车克杉王轩王昕闫涵杨嘉杨放南李剑武刘冬平郭财张启晟韩峰俊邰向花王少飞杨军王学斌刘禹彤赵金朝罗敏杨文丽徐国祥祝学年
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID QINGHAI ELECTRIC POWER COMPANY