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Data anomaly detection method in cloud environment

A technology for data anomaly and detection methods, which is applied in data processing applications, complex mathematical operations, instruments, etc., and can solve problems such as hidden safety hazards and inability to detect abnormal data.

Pending Publication Date: 2021-05-18
HEFEI POWER SUPPLY COMPANY OF STATE GRID ANHUI ELECTRIC POWER +2
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Problems solved by technology

[0003] The purpose of the present invention is to provide a data anomaly detection method in a cloud environment in order to solve the above-mentioned problem that abnormal data cannot be detected in the smart grid and there are potential safety hazards, which can detect abnormal data in the power grid, reduce potential safety hazards, and facilitate power grid Management, can handle a large amount of data, and has the advantages of high detection efficiency

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0040] see figure 1 As shown, a data anomaly detection method in a cloud environment includes the following steps:

[0041] S1. Obtain the data of each meter node in the power grid, and preprocess the data. The data preprocessing method includes using the Newton interpolation method to complete missing data. The steps are as follows:

[0042] Suppose corresponding to the time series T={t 1 ,...,t n} The original data set is X={x 1 ,,...,x n}={f(t 1 ),......

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Abstract

The invention discloses a data anomaly detection method in a cloud environment, and belongs to the technical field of data anomaly detection, and the method comprises the following steps: S1, obtaining data of each ammeter node in a power grid, and preprocessing the data; S2, decomposing the processed data into sequence data of a trend component, a periodic component and a residual component according to a time sequence; and S3, performing anomaly detection on the sequence data of the residual component, searching for abnormal data exceeding a threshold value, and storing the abnormal data. Abnormal point detection is carried out on the statistical ammeter data in a decomposition mode, more serious electric quantity loss and equipment damage caused by untimely fault processing can be effectively avoided, management of a power grid is facilitated, the method is suitable for storage and calculation of a large amount of data, and the abnormal data detection efficiency is also improved.

Description

technical field [0001] The invention relates to the technical field of data anomaly detection, in particular to a data anomaly detection method in a cloud environment. Background technique [0002] With the continuous expansion of the scale of power construction, the coverage of the smart grid is also increasing, and the various power operation data in the power grid system are also increasing. When there is a problem in the grid system, such as substation equipment failure, ammeter fuse blown, transmission line interruption, etc., the data of the ammeter in the smart grid will be abnormal. Therefore, traditional cloud computing big data cannot perform continuous real-time monitoring and anomaly detection on the meter data in the power grid, which will lead to abnormalities or accidents in the power grid, and more seriously, power loss and equipment damage. Contents of the invention [0003] The purpose of the present invention is to provide a data anomaly detection metho...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06K9/62G06Q10/06G06Q50/06
CPCG06F17/18G06Q10/0639G06Q50/06G06F18/2433Y04S10/50
Inventor 周开保陈小龙张谢吴朝文陈朔王尉桂宁李文芳张照王双
Owner HEFEI POWER SUPPLY COMPANY OF STATE GRID ANHUI ELECTRIC POWER
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