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Intelligent modeling method and device for digital twin system in complex industrial process, equipment and storage medium

An industrial process and complex technology, applied in the field of industrial artificial intelligence, to solve modeling problems and improve modeling accuracy

Pending Publication Date: 2021-03-26
NORTHEASTERN UNIV
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Problems solved by technology

However, due to the above-mentioned characteristics of complex industrial processes, it is difficult to use existing mechanism modeling methods or deep learning methods to establish a digital twin system that meets the accuracy requirements

Method used

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  • Intelligent modeling method and device for digital twin system in complex industrial process, equipment and storage medium
  • Intelligent modeling method and device for digital twin system in complex industrial process, equipment and storage medium
  • Intelligent modeling method and device for digital twin system in complex industrial process, equipment and storage medium

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] figure 1 Realize the flowchart for the complex industrial process digital twin system intelligent modeling method of the embodiment of the present invention, the method includes the following steps:

[0043] S1: Establish a mechanism model of a complex industrial process, the mechanism model includes two parts: an identifiable model and an unmodeled dynamic part.

[0044] Specifically, the unknown constant F is used to indicate that the model parameter is a n...

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Abstract

The invention provides an intelligent modeling method and device for a digital twinning system in a complex industrial process, equipment and a storage medium. The intelligent modeling method for thedigital twin system in the complex industrial process comprises the following steps: establishing a mechanism model of the complex industrial process, wherein the mechanism model comprises an identifiable model and an unmodeled dynamic model; estimating parameters of the identifiable model to obtain an identification model; adopting an identification model error and the unmodeled dynamics to forman unknown nonlinear dynamic system; establishing an intelligent model of the unknown nonlinear dynamic system; establishing an intelligent model of the complex industrial process digital twin systemby adopting the identification model and the intelligent model of the unknown nonlinear dynamic system, wherein the identification model error is a model output error caused when parameters in the identifiable model are replaced by identification values of the parameters. Aiming at the problem that the precision of a digital twinning system in a complex industrial process is difficult to guarantee, a system identification method based on a mechanism model is combined with a deep learning method based on big data, and an intelligent model of the digital twinning system in the complex industrialprocess is established by adopting an end-to-side cloud cooperation mode. The modeling problem of a digital twin system in a complex industrial process is solved, and the modeling precision is improved.

Description

technical field [0001] The invention belongs to the technical field of industrial artificial intelligence, and in particular relates to an intelligent modeling method, device, equipment and storage medium of a complex industrial process digital twin system. Background technique [0002] There are a large number of complex industrial processes in process industries such as iron and steel, metallurgy, mineral processing, petrochemical, and electric power. The mechanism models of these industrial processes have the following complexity: the model contains nonlinear terms between input and output variables, and multi-variable strong coupling , unknown frequently changing disturbances, unknown part of the model structure, unknown order of input and output variables, and unknown changing dynamic characteristics. Therefore, the existing system identification methods based on mechanism models cannot establish dynamic models of these industrial processes. The interaction of material ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/049G06N3/084G06N3/048G06N3/045Y02P90/02
Inventor 柴天佑王维洲
Owner NORTHEASTERN UNIV
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