CPS Modeling and Analysis Method Based on Aspect-Oriented Grey GSPN

Through the aspect-oriented gray generalized random Petri net model and weaving algorithm, the problems of abstract complexity and difficulty in dealing with uncertainty in existing CPS modeling methods are solved, and accurate modeling and performance analysis of industrial CPS are realized.

CN114647960BActive Publication Date: 2025-06-27HANGZHOU DIANZI UNIV
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Patent Information

Application Number
CN202210381340.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-12
Publication Date
2025-06-27
Estimated Expiration
2042-04-12

AI Technical Summary

Technical Problem

The existing CPS modeling methods are relatively abstract and complex, lack of descriptive analysis capabilities, and it is difficult to accurately deal with uncertainties in industrial CPS.

Method used

A CPS modeling and analysis method based on aspect-oriented gray generalized random Petri net (AGGSPN) is proposed. By introducing aspect-oriented technology, gray system theory and weaving algorithm, a complete weaving net is built for performance analysis.

Benefits of technology

Accurate modeling and performance analysis of industrial CPS is realized, the authenticity and accuracy of the model are improved, and the uncertainty in CPS can be effectively handled.

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Abstract

The present invention discloses a CPS modeling and analysis method based on aspect-oriented grey GSPN. First, according to the specific situation of the CPS to be modeled, an AGGSPN model is constructed; the grey system theory is introduced, and the greying processing method is used to solve the transition firing rate and the triggering probability of the stochastic switch in the AGGSPN model; the Markov method is used to solve the grey steady-state probability of the AGGSPN; a mathematical programming model is constructed based on the obtained grey steady-state probability to solve the final interval grey number representation; finally, the performance indicators of the industrial CPS are analyzed using the final interval grey number representation. The present invention adopts the analysis methods of grey theory, Markov chain and mathematical programming, effectively dealing with the uncertainties in the CPS, so that the results have high precision.
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