Patent ID: 11860608
Assignee: QILU UNIVERSITY OF TECHNOLOGY
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 5:
6. An industrial equipment parameter adjustment path generation system based on a complex network model, comprising circuitry configured to:
obtain data of all sensors of industrial equipment; and calculate a Spearman correlation coefficient between data of every two of the sensors within a same time period;
use each sensor as a node, and use the Spearman correlation coefficient as a weight of a network edge, to construct a fully connected weighted network;
obtain, when a parameter adjustment instruction for a feature of a production target is received, a currently optimal parameter adjustment path for the target feature of the production target based on the fully connected weighted network; and
perform an appropriacy check by:
receiving a selection of a user for the production target,
obtaining a correlation coefficient matrix between data of a sensor of the industrial equipment corresponding to the production target and data of another sensor,
removing a sensor of which a correlation with the sensor corresponding to the production target is less than a specified threshold, and
checking appropriacy of the correlation coefficient based on a support vector regression model according to data of remaining sensors,

wherein the currently optimal parameter adjustment path is obtained by searching, based on the fully connected weighted network, for at least one directly related feature and at least one indirectly related feature of which correlations with the feature of the production target are greater than a specified threshold, and visualizing the at least one directly related feature, the at least one indirectly related feature, and correlation coefficients therebetween, and
the feature of the production target is selected by the user according to a result of the visualization, and at least one corresponding parameter is adjusted.