Processing model construction method and processing method for monitoring data of extra-high voltage transformer
The invention discloses a processing model construction method and a processing method for monitoring data of an extra-high voltage transformer. The processing model construction method comprises the following steps: acquiring historical monitoring data of the extra-high voltage transformer; preproc...
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Main Authors | , , , , , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a processing model construction method and a processing method for monitoring data of an extra-high voltage transformer. The processing model construction method comprises the following steps: acquiring historical monitoring data of the extra-high voltage transformer; preprocessing the historical monitoring data; performing abnormal point detection on the preprocessed historical monitoring data by using an abnormal point detection algorithm; based on the preprocessed historical monitoring data and the detection result, a random forest processing model is constructed, the random forest processing model is used for processing to-be-processed monitoring data of the extra-high voltage transformer and outputting a processing result, and the processing result represents distribution characteristics of the to-be-processed monitoring data; the distribution characteristic is used for determining a storage mode of the to-be-processed monitoring data in the data warehouse. According to the method |
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Bibliography: | Application Number: CN202410420590 |