Depth anomaly detection method based on data relevance

The invention discloses a depth anomaly detection method based on data relevance, and the method comprises the steps: S1, determining a data anomaly judgment standard, inputting the data anomaly judgment standard into a database, and storing the data anomaly judgment standard; S2, inputting new data...

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Bibliographic Details
Main Authors MA PENGBIN, ZHANG FENGBIN, LIANG LU
Format Patent
LanguageChinese
English
Published 11.06.2021
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention discloses a depth anomaly detection method based on data relevance, and the method comprises the steps: S1, determining a data anomaly judgment standard, inputting the data anomaly judgment standard into a database, and storing the data anomaly judgment standard; S2, inputting new data, inputting the data into the database, and comparing the data with data in the database; S3, judging whether the data is abnormal or not, if the data is not abnormal, returning to the step S2, if the data is abnormal, correcting the abnormal data, and returning to the step S2 after correction is completed; and S4, finding a correction method in the database according to the abnormal data, and performing autonomous correction. The method has the beneficial effects that by determining the standard for judging the abnormal data in advance, the new data can be compared with the data in the database, related personnel are reminded to correct the detected abnormal data, a correction method is provided according to the a
Bibliography:Application Number: CN202110355665