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Component state estimation method based on digital twin model

A component state, twinning technology, applied in character and pattern recognition, computing, computer components and other directions, can solve problems such as difficult to solve models, achieve the effect of improving accuracy, easy real-time solution, and speeding up inference speed

Pending Publication Date: 2022-01-25
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, in a real-time, multi-query environment, traditional large-scale physics-based models are often difficult to solve, which requires the digital twin to adapt to the computational model in the face of model parameter changes, and quickly evaluate the model to provide analysis and prediction, in order to effectively for operational decisions

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  • Component state estimation method based on digital twin model
  • Component state estimation method based on digital twin model
  • Component state estimation method based on digital twin model

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Embodiment Construction

[0052] 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 making creative efforts belong to the protection scope of the present invention.

[0053] The present invention proposes a component state estimation method based on a digital twin model, such as figure 1 As shown, the method includes: obtaining component parameters in real time, inputting the component parameters into the improved digital twin model, and obtaining the state estimation result of the prototype component;

[0054] The process of processing the parameters of the prototype components with the improved digital twin model includes...

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Abstract

The invention belongs to the technical field of digital twin data driving, and particularly relates to a component state estimation method based on a digital twin model. The method comprises the following steps: acquiring component parameters in real time, and inputting the component parameters into an improved digital twinborn model to obtain a state estimation result of a prototype component. Compared with a traditional single model simplification technology, the method can be effectively expanded to a large complex system, and a flexible expression framework is provided for rapid self-adaption of the model; the rapid increase of the calculation cost along with the increase of parameters in a single model reduction method is avoided; and Bayesian reasoning speed is greatly increased by using a reduced-order model, real-time solution is easier, generated probability classification provides a basis for the updating of digital twinning, meanwhile, uncertainty in the model is quantified, and precision of the model is improved.

Description

technical field [0001] The invention belongs to the technical field of digital twin data drive, and in particular relates to a component state estimation method based on a digital twin model. Background technique [0002] Since the high-order complex system model is simplified to a low-order approximate model, it is simpler in calculation and analysis than the original high-order system model, and can also provide enough information about the original system. The system model is simplified to a low-order approximate model. This model simplification method can be called a mathematical model-based reduction method. However, due to the complex relationship between the physical model and the mathematical model parameters, it is difficult to make a physical analysis of the dynamic behavior of the system. Explanation. [0003] The single static model is a common model in existence, but the single static model ignores the differences between similar projects, fundamentally limitin...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06K9/62G06F111/08
CPCG06F30/23G06F2111/08G06F18/24G06F18/295
Inventor 付蔚刘庆童世华胡灿炜李正张棚吴志强冯建强
Owner CHONGQING UNIV OF POSTS & TELECOMM
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