GPU-and-neural-network-oriented grid quality detection method

Abstract

The invention discloses a GPU (Graphics Processing Unit)-and-neural-network-oriented grid quality detection method, thereby solving the problems of high time overhead, low automation degree and the like of a current grid quality detection method. According to the technical scheme, a detection system based on a neural network is built by utilizing the powerful computing power of a GPU and the powerful fitting learning power of the neural network, a grid sample training set is built, the network is trained, the trained neural network is adopted to detect the computing grids, and a quality classification result of the computing grids is obtained. And the detection system analyzes the quality classification result and outputs a final grid quality detection result. The four feature extraction modules are composed of convolution layers with different channel numbers and convolution kernel sizes, the grid high-dimensional features related to the calculation result precision are fully extracted, and the detection accuracy is ensured; the advantage of high calculation speed of GPU data is fully utilized, and the calculation burden of a CPU is reduced; and the grid quality detection processis accelerated by compressing the high-dimensional features.

Description

technical field [0001] The invention belongs to a grid quality detection method, in particular to a grid quality detection method oriented to a GPU and a neural network. Background technique [0002] Numerical calculation is the main research method for solving complex aerodynamic and thermal problems in the aerospace field, and provides aerodynamic data under real flight parameters for the aircraft aerodynamic research process. With the improvement of computing power, numerical computing technology has run through the whole process of aircraft design and is playing an increasingly important role. It is an important technical basis and support for the development of aerospace industry. [0003] The first step in numerical calculation is to generate a computational grid, that is, to divide the continuous computational domain into grid cells. The obtained calculation grid is composed of many grid units, which is the basis and premise of the entire numerical calculation. The q...

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to propose an efficient grid quality detection method to improve detection efficiency, shorten grid quality detection time overhead, and promote The Development of Automated Mesh Quality Inspection Process

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