Three-dimensional geometric cross section image generation method based on bounding box cross section images
A cross-sectional image and three-dimensional geometry technology, applied in the field of nuclear analysis, can solve the problems of high computational consumption, difficult model checking, low visualization efficiency, etc., and achieve the effect of improving the inspection efficiency and the generation speed.
Active Publication Date: 2017-12-05
中科超安科技有限公司
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But for complex Monte Carlo models, the generation of a single cross-sectional image involves tens of thousands of geometric bodies, which consumes a lot of computation, makes visualization inefficient, and makes model checking difficult
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[0020] 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.
[0021] Such as figure 1 As shown, this embodiment discloses a method for generating a three-dimensional geometric section image based on a bounding box section image, including the following steps:
[0022] S1. Input the Monte Carlo geometric model, traverse all the geometric bodies in the geometric model, and generate bounding boxes corresponding to each geometric body;
[0023] Specifically, yes figure 2 The geometric model shown is traversed to generate a bounding box corresponding to each geometric body, and each side of the bounding box is parallel to the x, y, and z axes of the space where the geometric body is located. among them, yes figure 2 A...
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The invention discloses a three-dimensional geometric cross section image generation method based on bounding box cross section images, and belongs to the nuclear analysis technology field. The three-dimensional geometric cross section image generation method comprises steps that S1, a Monte Carlo geometric model is input, and all of geometric bodies in the geometric model are traversed, and bounding boxes corresponding to the various geometric bodies are generated; S2, unique corresponding colors are set for all of the geometric bodies in the model, and the colors corresponding to the geometric bodies are used to color the bounding boxes corresponding to the geometric bodies; S3, the cross section images of the bounding boxes are generated; S4, the colors of the bounding box cross section images are counted, and a bounding box cross section image color list is acquired; S5, according to corresponding relations between the geometric bodies and the set colors, the list of the geometric bodies intersected with the cross sections is acquired based on the bounding box cross section image color list; S6, according to the list of the geometric bodies intersected with the cross sections, the corresponding geometric body cross section images are generated. The intersection and clipping calculation of the bounding box cross sections and a lot of geometric bodies is prevented, and the inspection efficiency of the model is improved.
Description
technical field [0001] The invention relates to the technical field of nuclear analysis, in particular to a method for generating a three-dimensional geometric section image based on a bounding box section image. 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 gene...
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IPC IPC(8): G06T17/00
CPCG06T17/005
Inventor 俞盛朋胡丽琴
Owner 中科超安科技有限公司