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A Visualization Method for Monte Carlo Geometric Sections with Adaptive Resolution

A resolution and self-adaptive technology, applied in the field of nuclear analysis, can solve the problems of low efficiency and accuracy of Monte Carlo geometric model inspection, and achieve the effect of improving visualization speed, ensuring clarity, and optimizing speed

Active Publication Date: 2018-10-12
中科超安科技有限公司
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Problems solved by technology

[0005] The object of the present invention is to provide a Monte Carlo geometric cross-section visualization method with self-adaptive resolution to solve the problem of low efficiency and low accuracy of Monte Carlo geometric model inspection

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  • A Visualization Method for Monte Carlo Geometric Sections with Adaptive Resolution
  • A Visualization Method for Monte Carlo Geometric Sections with Adaptive Resolution
  • A Visualization Method for Monte Carlo Geometric Sections with Adaptive Resolution

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Embodiment Construction

[0031] In order to further illustrate the features of the present invention, please refer to the following detailed description and accompanying drawings of the present invention. The accompanying drawings are for reference and description only, and are not intended to limit the protection scope of the present invention.

[0032] Such as Figure 1 to Figure 2 As shown, this embodiment discloses a Monte Carlo geometric section visualization method with adaptive resolution, including the following steps S1 to S5:

[0033] S1. Using a discrete point sampling method to process the Monte Carlo geometric model to generate three-dimensional spatial texture data of the Monte Carlo geometric model;

[0034] Wherein, step S1 includes the following subdivision steps:

[0035] According to the set discrete quantity, N X , N Y , N Z a discrete point;

[0036] Among them, the setting process of the number of discrete points is: after inputting the Monte Carlo geometric model, in the C...

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Abstract

The invention discloses a Monte Carlo geometric cross section visualization method capable of self-adapting to the resolution, and belongs to the technical field of nuclear analysis. The Monte Carlo geometric cross section visualization method comprises the steps of S1, processing a Monte Carlo geometric model by adopting a discrete point sampling method to generate three-dimensional space texture data of the Monte Carlo geometric model; S2, performing cross section visualization processing on the Monte Carlo geometric model to obtain a visualization graph and the visualization resolution Res of the Monte Carlo geometric model; S3, judging whether the visualization resolution Res is greater than a set resolution threshold Dens or not, if so, executing a step S4, and if not, executing a step S5; S4, realizing cross section visualization based on a cross section visualization method of scanning lines; and S5, realizing the cross section visualization based on the three-dimensional space texture data. According to the invention, the Monte Carlo cross section visualization speed at different resolutions is optimized, and the definition of cross section visualization at different resolutions is ensured at the same time.

Description

technical field [0001] The invention relates to the technical field of nuclear analysis, in particular to a Monte Carlo geometric section visualization method with self-adaptive resolution. Background technique [0002] High-fidelity numerical simulation plays an increasingly important role in nuclear system design optimization and safety assessment, such as: advanced reactor design, life extension of existing reactors, reduction of nuclear waste and improvement of fuel utilization, and overall process safety assessment. However, with the society's attention to nuclear energy safety and the development of new nuclear energy systems, the urgency of high-fidelity numerical simulation has become increasingly prominent. [0003] For the high-fidelity simulation of nuclear systems, compared with the deterministic method, the Monte Carlo method has significant advantages such as strong set description ability and high calculation accuracy. However, for general nuclear energy syst...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/04G06T17/30
CPCG06T15/04G06T17/30
Inventor 俞盛朋胡丽琴
Owner 中科超安科技有限公司
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