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Multi-block structure grid data deep compression storage and decompression method

A grid data, compressed storage technology, applied in electrical digital data processing, CAD numerical modeling, instruments, etc., can solve the problems of accelerated storage hardware aging, huge data storage, increased storage cost, etc., to reduce bandwidth requirements, The effect of solving insufficient compression and improving compression performance

Active Publication Date: 2022-03-11
CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These grid data storage formats all use the method of storing all grid points, and the data storage capacity is huge. With the increase of CFD numerical simulation precision, the grid scale gradually increases. The current file storage format is very difficult for grid data storage and transmission bring a lot of pressure
However, a large number of calculation states involved in optimization design, unsteady simulation, and load analysis will bring greater challenges to file storage of grid data. Repeated access to storage units will accelerate the aging of storage hardware and bring the risk of data loss, resulting in Storage costs are skyrocketing

Method used

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  • Multi-block structure grid data deep compression storage and decompression method

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Embodiment 1

[0061] In this embodiment, the multi-block structured grid data deep compression storage and decompression method of the present invention is applied to a multi-block structured grid with 2 structured grids.

[0062] Step 100: figure 2 Represents a multi-block structured grid containing 2 grid blocks, reads the grid block information and grid geometry data of the multi-block structured grid from the uncompressed grid data file, and caches them in the computer memory. The grid block information of the multi-block structured grid includes the number of grid blocks N block (with a value of 2), Figure 3a , Figure 3b Logical information NI of grid block 1 in 1 (value 13), NJ 1 (value 33), NK 1 (with a value of 77), Figure 4a , Figure 4b Logical information NI of grid block 2 in 2 (value 13), NJ2 (value 33), NK 2 (with a value of 41). Mesh geometry data for multiblock structured meshes includes Figure 3a , Figure 3b The three-dimensional space coordinates of the g...

Embodiment 2

[0079] This embodiment utilizes DLR-F6 model multi-block structured grids of different scales to test the multi-block structured grid data depth compression storage and decompression method of the present invention. The test examples show that the present invention can significantly improve The storage efficiency of the multi-block structured grid can compress the storage space occupied by the multi-block structured grid data of billions of units to less than 1% of the original, and as the number of grid units increases, the compression ratio will increase non-linearly. As shown in Table 1, the information statistics before and after deep compression of multi-block structure grids of different scale DLR-F6 models, such as Figure 9 Shown is the deep compression effect of multi-block structure grids of DLR-F6 models of different scales.

[0080] Table 1

[0081]

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Abstract

The invention discloses a method for deeply compressing, storing and decompressing multi-block structured grid data. The multi-block structure grid data deep compression storage and decompression method of the present invention judges the type of each window in the grid block, classifies, extracts and stores the grid window boundary ridgeline grid point or grid window surface of the grid block Grid points, in order to keep the shape of the original grid, and encode and compress the geometric data of the original grid to improve the compression performance of the grid data. Fast recovery of mesh geometry data in different storage formats. The multi-block structure grid data deep compression storage and decompression method of the present invention can resolve the storage and transmission crisis caused by the use of all geometric data storage formats in current mainstream software, and solve the problem of insufficient compression caused by surface grid data storage methods question.

Description

technical field [0001] The method belongs to the technical field of multi-block structured grid storage in CFD (Computational Fluid Dynamics), and specifically relates to a multi-block structured grid data deep compression storage and decompression method. Background technique [0002] CFD (Computational Fluid Dynamics) is one of the important means to study the mechanism of fluid mechanics, and it plays an increasingly important role in the design and performance evaluation of aerospace vehicles. CFD discretizes the flow field space by calculating the grid, and then solves the algebraic discrete equations to obtain flow variables, such as density, pressure, and temperature, and integrates along the surface of the aircraft to obtain the overall performance characteristics of the aircraft. Therefore, the calculation grid is the basis of CFD numerical simulation, which determines the calculation accuracy and calculation efficiency of numerical analysis. According to the conne...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/28
CPCG06F30/28G06F2111/10G06F2113/08G06F2119/14
Inventor 孙岩江盟孟德虹王昊赵莹罗骁邓彦增邓学霖
Owner CALCULATION AERODYNAMICS INST CHINA AERODYNAMICS RES & DEV CENT
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