Data preprocessing method
A data preprocessing and data technology, applied in the field of machine learning, can solve problems such as data redundancy and data loss, and achieve the effect of ensuring data, ensuring diversity, and avoiding data redundancy
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Embodiment 1
[0031] Such as figure 1 As shown, this embodiment provides a data preprocessing method, which is used to process the collected data before the disaster risk prediction of the power towers, power transmission lines and power channels of the State Grid. The preprocessing provided by this embodiment The method is used to process the collected data before icing disaster or lightning disaster risk prediction, including the following steps:
[0032] Collection of historical information, including field maintenance department deployment history information, tower and line ledger history information, and meteorological history information. Among them, field maintenance department deployment history information includes line defect sub-information, hidden danger sub-information, and fault sub-information; meteorological historical information includes Weather condition sub-information, temperature sub-information, humidity sub-information, wind speed sub-information, wind direction sub...
Embodiment 2
[0043] Such as figure 2 As shown, this embodiment provides a data preprocessing method, which is used to process the collected data before the disaster risk prediction of the power towers, power transmission lines and power transmission channels of the State Grid. The preprocessing provided by this embodiment The processing method is used to process the collected data before the treeline discharge disaster, geological disaster or mechanical failure risk prediction, including the following steps:
[0044] Collection of historical information, including field maintenance department deployment history information, tower and line ledger history information, and meteorological history information. Among them, field maintenance department deployment history information includes line defect sub-information, hidden danger sub-information, and fault sub-information; meteorological historical information includes Weather condition sub-information, temperature sub-information, humidity ...
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