Drawing recognition recommendation method and system based on data analysis

Abstract

The invention provides a drawing recognition recommendation method and system based on data analysis, and the method comprises the steps: obtaining a to-be-recognized drawing and a recognition demand,determining a to-be-recognized object on the to-be-recognized drawing, and obtaining the design parameter information corresponding to the to-be-recognized object; obtaining an input format requirement corresponding to the identification object, and determining to-be-input parameters and an input sequence of the to-be-input parameters according to the input format requirement; determining a recommendation parameter corresponding to the current to-be-input parameter according to the input sequence and the position relationship of the design parameter information; and in response to the recommendation parameter selection operation, determining the recommendation parameter as an input parameter corresponding to the current to-be-input parameter until all the to-be-input parameters are input.By determining the to-be-identified object on the to-be-identified drawing, the recommendation parameter corresponding to the current to-be-input parameter is determined from the design parameter information, so that the manual identification efficiency of the user is improved; verification is completed in the process of user selection, so that the operation is simpler and more convenient, and the drawing recognition efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of computer information processing, in particular to a drawing recognition and recommendation method and system based on data analysis. Background technique [0002] In the application of 3D BIM (Building Information Modeling, Building Information Modeling), it is unavoidable to perform the flipping operation from 2D CAD to 3D model. During the manual recognition during the flipping operation, the user generally selects the primitives to be recognized manually, and then Fill in the corresponding attributes to complete the recognition. In this process, the selection of the primitives to be recognized and the filling of attributes are completely selected or filled by the user based on experience, resulting in problems such as low efficiency, high error rate, high experience and professional knowledge, etc. The bottleneck of the process leads to the inefficiency of the overall process. Contents of the inventi...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a drawing recognition and recommendation method and system based on data analysis, which solves the problems in the prior art of low efficiency, high error rate and professional knowledge in the mold turning process due to subjective judgment

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