Causal link analysis method and device and computer readable storage medium

Abstract

The invention discloses a causal link analysis method, causal link analysis equipment and a computer readable storage medium. The method comprises the steps: carrying out the recording and analysis ofa production process of a specified object, and obtaining a plurality of specified variables corresponding to the production process; determining an undirected correlation link among the plurality ofspecified variables based on a relevancy judgment rule; predicting the undirected correlation link according to a causal probability prediction model to obtain a directed causal probability value corresponding to the undirected correlation link; determining a directed causal link among the plurality of specified variables according to the directed causal probability values, wherein the directed causal link is used for representing a causal relationship of the specified object production process; and the mutual influence sequence of the specified variables in the production process can be known.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a causal link analysis method, device and computer-readable storage medium. Background technique [0002] In the industrial field, there are many process parameters in the production process, and the process parameters are strongly coupled with each other. The change of one process parameter often causes the change of one or more other process parameters, thus affecting the final product. When people adjust the process parameters according to experience, it may cause a "chain reaction", such as increasing the temperature at A, which may cause the temperature at B to be too high. At present, in the process of process parameter modeling and analysis, the process parameters are usually adjusted by analyzing the correlation between the process parameters. What is the result, so that the process parameters cannot be accurately controlled, and the effect is not id...

AI Technical Summary

Problems solved by technology

When people adjust the process parameters according to experience, it may cause a "chain reaction", such as increasing the temperature at A, which may cause the temperature at B to be too high

At present, in the process of process parameter modeling and analysis, the process parameters are usually adjusted by analyzing the correlation between the process parameters, but the correlation analysis can only confirm that there is a correlation between the process parameters, and it is impossible to accurately predict the impact of the process parameters after adjustment. As a result, the process parameters cannot be precisely controlled, and the effect is not ideal in terms of improving product quality and intelligent early warning of devices.

Images