Data-driven anomaly detection and early warning of 21 May Day C

21 May Day Games C topic

subject ：

C topic Data driven anomaly detection and early warning

Promote the high-quality development of production enterprises , The most fundamental bottom line is to ensure safety 、 Guard against risks , The data generated in the production process can reflect the potential risks in real time . The attachment 1 For a manufacturing enterprise on a certain day 00:00:00-22:59:59 Time series data recorded by instruments and equipment in the production area （ Data desensitization has been performed ）, This question does not give the specific name of the data , These data may be temperature 、 concentration 、 Pressure and other data closely related to safety .

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Data description ：100 A sensor 24 Hour time series data （ No data name given ）

Data processing ：100 A sensor , Do not know the data name , It is necessary to filter variables . The first calculation is 100 The Euclidean distance between columns is clustered and then filtered . This is the simplest , An effective plan .

 

Question 1 ： Establish risk abnormal data detection model

According to the picture above , The above four properties of the time series of detection data are analyzed one by one ......

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