Time series data abnormal point detection method and system
A technology of time series and data anomalies, applied in manufacturing computing systems, data processing applications, forecasting, etc., can solve problems such as the inability to accurately detect the time series data anomalies, the severity of data anomalies cannot be quantified, etc., to improve information diversity Effects on Sex and Accuracy
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no. 1 example
[0052] This embodiment provides a method for detecting anomalies in time series data, and the method may be implemented by an electronic device, and the electronic device may be a terminal or a server.
[0053] The execution flow of the time series data outlier detection method is as follows: figure 1 shown, including the following steps:
[0054] S101, acquiring time series data to be detected;
[0055] It should be noted that the above-mentioned time series data to be detected may include multiple sub-time series, and each data in the sequence may correspond to the process control data generated by the industrial process. The generated real-time original time series data set; preprocess the original time series data set to remove incorrect time series data and incomplete time series data containing null values in the original time series data set to obtain the time to be detected sequence data.
[0056] For anomaly detection problems, normal time series data is not nece...
no. 2 example
[0076] In this embodiment, the above method for detecting outliers in time series data is applied to the detection of outliers in actual time series data generated by the continuous casting process in the iron and steel industry, so as to verify and analyze the above methods.
[0077] The iron and steel continuous casting data set includes the time series data of the casting speed of the continuous casting machine, the time series data of the cooling water flow rate of the secondary cooling section, and the time series data of the cooling water pressure of the secondary cooling section. Among them, the casting speed refers to the speed at which the cast slab is pulled out from the mold by the dummy rod. Due to the impact of continuous casting speed changes on the surface fluctuations of molten steel in the mold, it is of great significance to study the data changes in continuous casting speed to obtain high-quality slabs and improve production efficiency. Since the secondary c...
no. 3 example
[0108] This embodiment provides a time series data abnormal point detection system, the system includes the following modules:
[0109] A time-series data acquisition module, configured to acquire time-series data to be detected, the time-series data comprising multiple sub-time series;
[0110] A correlation vector machine calculation module, used to calculate the predicted probability distribution of the current observation data in the time series data acquired by the time series data acquisition module by using the correlation vector machine;
[0111] The Bayesian framework judgment module is used to determine whether the current observation data is an abnormal point based on the predicted probability distribution of the current observation data calculated by the correlation vector machine calculation module, so as to obtain the time series data Outlier location and outlier probability value;
[0112] The outlier merging processing module is used for merging the outlier po...
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