Intelligent diagnosis decision-making method and system based on power grid big data analysis
A technology of intelligent diagnosis and decision-making method, applied in the direction of electrical digital data processing, data processing application, digital data information retrieval, etc., can solve the problems of power system hazards, daily life impact, information characteristics cannot be mined, etc., to ensure safety The effect of stable operation
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Embodiment 1
[0064] Such as figure 1 As shown, this embodiment provides an intelligent diagnosis and decision-making method based on power grid big data analysis, including the following steps:
[0065] S1. Obtain fault data collected by the smart grid system and preprocess the data;
[0066] Among them, preprocessing the data includes the following steps:
[0067] Perform missing value processing on the data. When the missing data of a tuple exceeds the threshold, ignore the tuple. When the missing data of a tuple is less than or equal to the threshold, fill the missing value of the tuple;
[0068] Perform noise processing on the data, and smooth the data by fitting the data with a preset function;
[0069] The data is reduced, and the data reduction is carried out by using the preset data cube summary description method.
[0070] Ensure the integrity of the data through data preprocessing, reduce noise intrusion in the data, improve data quality, and facilitate subsequent data analysi...
Embodiment 2
[0089] Such as figure 2 As shown, this embodiment provides an intelligent diagnosis and decision-making system based on power grid big data analysis, including a data processing module 1, a vectorization module 2, a training adjustment module 3, a repetitive training module 4, and a diagnostic analysis module 5;
[0090] The data processing module 1 is used to obtain the fault data collected by the smart grid system and preprocess the data;
[0091] The data processing module 1 includes a missing value processing unit, a noise processing unit, and a data reduction unit;
[0092] The missing value processing unit is used to process the missing value of the data. When the missing data of a tuple exceeds the threshold, the tuple is ignored, and when the missing data of a tuple is less than or equal to the threshold, the tuple is deleted. value fill;
[0093] The noise processing unit is used to perform noise processing on the data, and smooth the data by fitting the data with ...
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