Intelligent Drawing-Model Checking via Color Mixing
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Solution Overview
Problem
Manual checking of drawing models after modifications is labor-intensive, time-consuming, and prone to errors, with difficulties in quickly identifying modified regions due to the lack of visual differentiation between pre- and post-modification models.
Innovation Solution
An intelligent drawing-model checking method that aligns drawing models into a common reference coordinate system, uses color mixing to distinguish between aligned and modified elements, and calculates cosine values to facilitate rotational alignment and visual representation of changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual checking mode is used to compare drawing models before and after modification, then checking can be performed, but workload increases greatly and checking time becomes long
Solution Approach 1:
The patent replaces the manual mechanical checking process with an automated computer-based system. The checking apparatus automatically acquires drawing models before and after modification, performs coordinate system alignment, identifies modified regions, and generates checking reports without manual intervention, thereby dramatically improving checking efficiency while maintaining reliability
Solution Approach 2:
The patent creates a digital copy of the drawing model before modification and compares it with the post-modification model. By acquiring and storing the pre-modification drawing model as a reference, the system enables automated comparison and change detection, eliminating the need for manual sequential comparison while ensuring accurate change identification
2Measurement precision
If manual sequential comparison of drawing models is performed, then differences can be identified, but checking time increases significantly
Solution Approach 1:
The patent performs preliminary coordinate system alignment and model preprocessing before the actual comparison. By establishing the coordinate system transformation relationship in advance and pre-processing the drawing models, the system prepares the data structure for efficient automated comparison, reducing the time required for the actual difference detection process
Solution Approach 2:
The patent replaces the time-consuming manual sequential comparison with automated image processing and pattern recognition algorithms. The system uses computer vision techniques to automatically detect modified regions by comparing pixel-level or feature-level differences between pre- and post-modification models, achieving rapid and precise change identification
3Reliability
If drawing models are compared without visual differentiation, then checking can be performed, but modified regions cannot be quickly positioned
Solution Approach 1:
The patent applies color-coded visualization to differentiate modified regions from unchanged areas in the drawing models. By assigning different colors to pre-modification and post-modification elements or highlighting changed regions with distinct color markers, the system enables checkers to quickly locate and assess modifications while maintaining complete checking coverage
Solution Approach 2:
The patent adds a visual dimension to the comparison process by generating overlay images or side-by-side views with graphical annotations. Instead of presenting only raw data differences, the system creates visual representations showing modified regions through color overlays, boundary highlights, or annotation markers, making it easier to locate and understand changes
4Productivity
If automated alignment and comparison is performed, then checking efficiency improves, but device complexity increases
Solution Approach 1:
The patent designs a multi-functional checking apparatus that integrates multiple capabilities into a single system: acquiring drawing models, performing coordinate system alignment, detecting modified regions, generating visual comparisons, and creating checking reports. This universal device handles the entire checking workflow automatically, improving efficiency while consolidating complexity into one integrated system rather than multiple separate tools
Data Source
AI summary
An intelligent drawing-model checking method includes: acquiring a first drawing model and a second drawing model, determining an alignment base point according to the first drawing model and the second drawing model, and aligning the first drawing model and the second drawing model into a same reference coordinate system using the alignment base point; determining axis vectors in the first drawing model and the second drawing model according to a standard axis net, calculating a cosine value between the axis vectors, and rotationally aligning at least one of the first drawing model and the second drawing model according to the cosine value; and displaying lines and points in the first drawing model after the rotational alignment in a first color, displaying lines and points in the second drawing model after the rotational alignment in a second color, and checking the drawing models by color mixing distinguishing.