Stereoscopic Model Calibration for Automation Machining Position Errors
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Solution Overview
Problem
Automation machining apparatuses face errors in processing objects due to varying position relationships between the apparatus and the object, which are not accurately accounted for by preset parameters.
Innovation Solution
A calibration method using stereoscopic images to build characteristic models, compare error parameters, and adjust machining parameters, incorporating image capturing devices, storage, and controlling modules to ensure precise alignment and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If preset parameters are used for machining, then automation and productivity are improved, but manufacturing precision deteriorates due to position relationship variations
Solution Approach 1:
The system captures stereoscopic images of the object, builds characteristic models, compares them with preset models to obtain error parameters, and uses these error parameters to calibrate machining parameters. This closed-loop feedback mechanism continuously corrects position relationship variations, maintaining processing accuracy while preserving automation efficiency.
Solution Approach 2:
The system dynamically adjusts machining parameters based on error parameters derived from stereoscopic image comparison. By changing parameters in real-time according to actual position relationships, the system maintains high precision machining despite variations in object positioning.
2Manufacturing precision
If stereoscopic image calibration is implemented, then manufacturing precision is improved, but device complexity increases due to additional imaging and processing components
Solution Approach 1:
The system introduces stereoscopic image characteristic models as an intermediary between the object and the machining process. These models serve as a bridge to detect and correct position relationship variations without requiring direct complex mechanical measurement systems, thereby achieving high precision with manageable system complexity.
Solution Approach 2:
The system creates digital characteristic models (copies) of the object's stereoscopic features and compares them with preset models. This copying approach allows for precise position detection and calibration without requiring complex physical measurement apparatus, maintaining simplicity while achieving high accuracy.
Data Source
AI summary
A calibration method applicable for an automation machining apparatus includes building a first stereoscopic characteristic model corresponding to an object, obtaining a stereoscopic image of the object, building a second stereoscopic characteristic model corresponding to the object based on the stereoscopic image, obtaining at least one error parameter corresponding to the second stereoscopic characteristic model by comparing the second stereoscopic characteristic model with the first stereoscopic characteristic model, and calibrating a machining parameter of the automation machining apparatus based on the at least one error parameter.