Method and device for identifying abnormal data of monitoring index data
A technology of index data and data anomalies, applied in the field of operation and maintenance, can solve problems such as large number of alarms, high maintenance costs, and easy complaints, etc., to achieve the effect of reducing data errors, improving accuracy, and increasing real-time performance
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[0112] Such as image 3 as shown, image 3 An exemplary schematic diagram showing a method for identifying abnormal data of monitoring index data, the specific steps are as follows:
[0113] Step 301, delete outliers.
[0114] Obtain historical indicator data from 15:1 to 15:10 every day in the 28 days before the current moment, with a total of 280 samples. Then, for the 10 historical index data of each day, the outliers in the 10 sample data of each day are deleted by the Gaussian function.
[0115] In step 302, a sample set is determined.
[0116] Calculate the average of the daily historical index data after removing outliers to obtain the daily sample data, and then determine that there are 28 sample sets J.
[0117] Step 303, judging whether there is periodicity, if so, go to step 304, otherwise go to step 305.
[0118] Step 304, generating predicted values.
[0119] For a periodic sample set J, the sample set J is input into the LSTM training model to obtain the pr...
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