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Digital twin model parameter optimization method and device, equipment and storage medium

A technology of model parameters and optimization methods, applied in electrical digital data processing, design optimization/simulation, special data processing applications, etc., can solve problems such as increasing the cost of digital twin production, and achieve cost savings and accurate parameter optimization.

Pending Publication Date: 2022-03-11
WUYI UNIV
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Problems solved by technology

However, in the existing technology, once there is a problem with the established model, the parameters need to be redesigned and simulated, which will greatly increase the cost of digital twin production

Method used

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  • Digital twin model parameter optimization method and device, equipment and storage medium
  • Digital twin model parameter optimization method and device, equipment and storage medium
  • Digital twin model parameter optimization method and device, equipment and storage medium

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] In the embodiments of the present invention, "at least one" means one or more, and "multiple" means two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three kinds of relationships, for example, A and / or B may indicate that A exists alone, A and B exist simultaneously, or B exists alone. Among them, A and B can be singular or plural. The text " / " generally indicates that the contextual objects are an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any c...

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Abstract

The invention discloses a digital twinborn model parameter optimization method and device, equipment and a storage medium, and relates to the field of digital twinborn models. The method comprises the following steps: constructing a structure model; obtaining an initial structure parameter model according to the structure model; extracting and operating the initial structure parameter model to obtain operating parameters; performing maturity evaluation on the operation parameters to obtain an evaluation result; and obtaining a final structure parameter model according to the evaluation result. Through the final structure parameter model obtained by performing maturity evaluation on the generated model, a model better meeting user requirements can be established, so that parameter optimization is more accurate, the method is suitable for various occasions, and the cost is saved.

Description

technical field [0001] The present invention relates to the field of digital twin models, in particular to a digital twin model parameter optimization method, device, equipment and storage medium. Background technique [0002] The existing parameter optimization methods for conceptual models of mechanical and electrical products such as screw conveyors have preliminarily possessed a relatively complete parameter design process. However, in the existing technology, once the established model has a problem, the parameters need to be redesigned and simulated, which will greatly increase the cost of digital twin production. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. For this reason, the present invention proposes a digital twin model parameter optimization method, device, equipment and storage medium, which can evaluate the maturity of the parameter model, make the parameter optimiza...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/20G06F119/14
CPCG06F30/17G06F30/20G06F2119/14
Inventor 康献民李宏宇王建生亢宗楠张迅罗源昌黄光润
Owner WUYI UNIV
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