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 GUI FEIFEI, ZHENG ZHIWEN, YU LEI, CUI XIAOHONG, ZHANG FAN, ZHAO YUFANG, HUANG ZHIYONG, ZOU YIN, XIONG PENG, HE HONGTAI, ZHANG YU, WANG YUEXIANG, YU GUOHUA
Format Patent
LanguageChinese
English
Published 09.07.2024
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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
Bibliography:Application Number: CN202410420590