Equipment-oriented digital twin dynamic credibility calculation method and system
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A calculation method and reliability technology, applied in the field of modeling and simulation, can solve problems such as high uncertainty, achieve high reference value, and enhance the effect of physical meaning of reality
Pending Publication Date: 2022-06-03
BEIHANG UNIV
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Therefore, the digital twin model is highly dynamic and highly interactive, which also generates high uncertainty
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Embodiment 1
[0063] The embodiment of the present invention discloses an equipment-oriented digital twin dynamic credibility calculation method, including:
[0064] Identify the characteristics of the life cycle stage of the model.
[0065] Perform user demand analysis based on the characteristics of the life cycle stage, quantitatively transform the user demand to obtain demand indicators, and perform multi-dimensional refinement of the demand indicators according to the evaluation object to obtain multiple evaluation indicators.
[0066] The multiple evaluation indicators are data, basic unit model, evolutionary unit model, integrated model and supporting elements.
[0067] Among them, the data and basic unit model are used to evaluate the basic models and data that have not yet been connected to the actual system; the evolutionary unit model, integrated model, and supporting elements are used to evaluate the closed-loop digital twin, and the data sample at time T needs to be input. . ...
Embodiment 2
[0107] The embodiment of the present invention discloses an equipment-oriented digital twin dynamic credibility computing system, including:
[0108] Determination module: used to determine the characteristics of the life cycle stage of the model.
[0109] Analysis module: used to analyze user needs based on the characteristics of life cycle stages, and obtain multiple evaluation indicators.
[0110] Calculation module: used to calculate the credibility of multiple evaluation indicators to obtain multiple credibility index values.
[0111] Aggregation module: used to aggregate multiple credibility index values and output credibility calculation values.
[0112] Judgment module: used to judge whether the user needs change after outputting the calculated value of credibility.
[0113] The invention discloses an equipment-oriented digital twin dynamic credibility calculation method and system. The method and system are based on analysis of user requirements, data evaluation, ...
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Abstract
The invention discloses an equipment-oriented digital twinning dynamic credibility calculation method and system, which are applied to the field of modeling simulation, and the method comprises the following steps: determining life cycle stage characteristics of a model; performing user demand analysis based on the life cycle stage characteristics to obtain a plurality of evaluation indexes; carrying out credibility calculation on the plurality of evaluation indexes to obtain a plurality of credibility index values; and aggregating the plurality of credibility index values, and outputting a credibility calculation value. According to the method and the system, the complexity, the dynamism, the interactivity and the uncertainty of digital twinning can be fully reflected through analysis of user requirements and evaluation of data, a basic unit model, an evolution unit model, an integration model and support; through multi-layer dynamic judgment and time binding of a data body and credibility, factors which can change the credibility of the digital twinning are emphatically investigated, including demand change, time sequence driving, evolution event driving and the like, so that the credibility of the digital twinning emphasizing dynamic interaction has effectiveness.
Description
technical field [0001] The invention relates to the field of modeling and simulation, in particular to an equipment-oriented digital twin dynamic credibility calculation method and system. Background technique [0002] Digital twin (DT) has become a research hotspot in recent years, which refers to a simulation model that is highly consistent with physical objects. The digital twin assimilates the real-time data collected, thereby maintaining consistency with the physical object in real-time after the model is built. This enables the digital twin system to perform simulation tests on twin objects that are more in line with the real state in the virtual environment, and obtain more realistic and instructive simulation results. [0003] Digital twins belong to the field of Modeling and Simulation (M&S). In the field of M&S, if the model has not been evaluated for credibility, it cannot be of practical value. Digital twin systems also require a set of trusted assessment meth...
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