Auto Parts Labeling Method and Visualization System Based on Data Recognition

Abstract

The invention proposes a data recognition-based auto parts labeling method and a visualization system, belonging to the technical field of data visualization. The method includes step S100 inputting the parameter characteristics of the replacement part; S200 matching the replacement position of the part in the automobile frame parameter structure diagram; S300 marking the parameter characteristic of the replacement part in the automobile frame parameter structure diagram after executing the part replacement; S400 judging the part Whether there is a symmetrical position in the replacement position in the car frame parameter structure diagram; if it exists, it will display the existing component parameters at the symmetrical position; S500 will perform a difference comparison between the parameter characteristics of the replaced component and the existing component parameters at the symmetrical position, And mark the difference comparison results in the comparison diagram of the automobile frame parameter structure diagram. The visualization system includes a human-computer interaction interface that provides a plurality of human-computer interaction buttons and a contrastive display interface. The invention also proposes an electronic device for implementing the method.

Description

technical field [0001] The invention belongs to the technical field of data visualization, and in particular relates to a data identification-based marking method for auto parts, a visualization system and an electronic device for implementing the method. Background technique [0002] With the continuous development of my country's automobile industry, the differences in vehicle structure and driving form at home and abroad, and the installation positions of different vehicle parts are different. It is difficult to find the location of the parts to be queried, and it even takes a lot of time. [0003] The existing automobile-related industries in the market have a high utilization rate of the location data of parts and components, which involve the operation guidance of the automobile maintenance industry, the calculation of parts that may be damaged by vehicle collision, and the statistics of parts and components that may be waded by flooded vehicles, but the real location c...

AI Technical Summary

Problems solved by technology

[0005] However, due to the different configuration data structures of different models, the use of three-dimensional data structures requires a dedicated visualization database for each model, resulting in high development costs; at the same time, in practical applications, such as insurance surveys, car maintenance, etc., and There is no need to refine to obtain the 3D structure of each precise accessory part, so 3D structure data is not necessary

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