Automated 3D Component Measurement via Neural Network Parsing
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Solution Overview
Problem
The manual process of measuring key components in 3D product designs is time-consuming, error-prone, and dependent on operator experience, making it challenging to accurately generate measurement reports.
Innovation Solution
A component matching and reporting system that parses 3D files to identify features, analyzes them using feature analysis and judgment parameters, locates components, and generates measurement reports using neural network models or intuitive approaches to automate the measurement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual measurement process is used, then operator can control product quality, but the process is time-consuming and error-prone
Solution Approach 1:
The system enables automatic self-measurement of components by parsing 3D files and using neural network models to identify and measure key components without human intervention. The computer automatically performs feature extraction, component identification, and measurement calculation, eliminating the need for manual operator involvement while maintaining high accuracy through algorithmic precision.
Solution Approach 2:
The patent replaces the manual mechanical measurement process with an automated computational system. Instead of operators manually navigating 3D files and taking measurements, the system uses computer algorithms, neural networks, and automated parsing to perform all measurement tasks, substituting human cognitive and manual operations with computational processes.
2Measurement precision
If manual measurement process is used, then operator can generate measurement reports, but the process is tiring and dependent on operator experience
Solution Approach 1:
The system performs automatic component identification and measurement without requiring operator expertise. The neural network model autonomously analyzes 3D file structures, identifies key components based on learned patterns, and executes measurements, making the process independent of operator experience while maintaining consistent precision across all measurements.
Solution Approach 2:
The system transforms the measurement process from a skill-dependent manual operation to a parameter-driven automated process. By converting operator expertise into configurable algorithm parameters and neural network training data, the system achieves consistent measurement precision through standardized computational parameters rather than variable human skill levels.
3Reliability
If manual measurement process is used, then operator can ensure no key parts are lost, but the process requires repeated file traversal
Solution Approach 1:
The system performs continuous automated measurement by systematically traversing the entire 3D file structure in a single pass. The computer algorithm continuously analyzes all components and features without interruption, ensuring complete coverage of all key parts while eliminating the need for repeated manual traversals that waste time and increase the risk of missing components.
Solution Approach 2:
The system implements automated feedback mechanisms where the computer algorithm continuously monitors measurement progress, verifies component identification accuracy, and adjusts its analysis accordingly. This feedback loop ensures that all key components are identified and measured while providing real-time verification to maintain measurement completeness without requiring repeated manual reviews.
Data Source
AI summary
The present disclosure provides a component matching and reporting method, which includes steps as follows. A 3D file is parsed to obtain features; the features is analyzed according to a feature analysis parameter to find out at least one component feature; it is judged whether the at least one component feature corresponds to a component according to a feature judgment parameter; when the at least one component feature corresponds to the component, the component is located; after the component is located, the component is measured to output a measurement report.