Automobile part labeling method and visualization system based on data identification

Abstract

The invention provides an automobile part labeling method based on data identification and a visualization system, and belongs to the technical field of data visualization. The method comprises the following steps: S100, inputting parameter characteristics of a replacement part; s200, matching part replacement positions in the automobile frame parameter structure chart; s300, after part replacement is executed, parameter characteristics of replacement parts are marked in the automobile frame parameter structure chart; s400, judging whether the part replacement position has a symmetrical position in the automobile frame parameter structure chart or not; if yes, existing part parameters of the symmetrical positions are displayed; and S500, difference comparison is carried out on the replacement part parameter characteristics and the existing part parameters at the symmetrical positions, and a difference comparison result is marked in a comparison chart of the automobile frame parameter structure chart. The visualization system comprises a human-computer interaction interface which provides a plurality of human-computer interaction buttons and a comparison display interface. The invention further provides the electronic equipment 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 recognition-based auto parts labeling method, a visualization system and electronic equipment for realizing the method. Background technique [0002] With the continuous development of my country's automobile industry, the structure and driving form of vehicles at home and abroad are different, 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 parts location data, which involves the operation guidance of the automobile maintenance industry. Vehicle collisions may damage parts calculations. Flooded vehicles may be involved in water parts statistics, but the real position coordinates of parts can refer to data Still blank. The auto main...

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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