Laser Processing Control for Curved Surface Measurement
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Solution Overview
Problem
Existing laser processing technologies face challenges in accurately measuring and processing curved and planar surfaces, particularly in end-user applications where cost-effective and flexible solutions are required.
Innovation Solution
A processing control method and system that utilize a light beam to form a light beam coverage region on a processing object, obtaining positional information of pixel points from an image, and using a pre-configured calibration relationship to determine the coordinate information of measurement points, enabling precise processing of curved and planar surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional laser processing technologies are used, then processing can be performed on flat surfaces, but accurate measurement and processing of curved and planar surfaces is not achieved
Solution Approach 1:
The patent divides the measurement and processing area into multiple measurement points distributed across the light beam coverage region. By segmenting the surface into discrete measurable points, the system can accurately capture the geometry of both flat and curved surfaces, enabling precise measurement regardless of surface shape.
Solution Approach 2:
The patent introduces a vertical dimension by projecting measurement points onto the surface using a light beam, creating a three-dimensional measurement system. This allows the system to measure both planar and curved surfaces by capturing spatial coordinates in multiple dimensions, thereby improving adaptability to different surface geometries.
2Measurement precision
If complex measurement systems are used to measure curved surfaces, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The patent employs a single light beam projection system that serves multiple functions: it projects measurement points, captures images of the projected points, and enables both planar and curved surface measurement. This multi-functional approach eliminates the need for separate complex measurement devices while maintaining high measurement precision.
Solution Approach 2:
The patent creates a visual copy of the measurement points on the surface by projecting light beams. The camera captures this optical copy, and through calibration relationships between the projected points and pixel coordinates, the system determines the spatial coordinates of measurement points on both flat and curved surfaces without requiring complex physical measurement apparatus.
3Productivity
If manual measurement methods are used, then device complexity is reduced, but measurement efficiency and productivity decrease
Solution Approach 1:
The patent implements an automated measurement system where the light beam projection and camera capture process occurs autonomously. The system automatically determines measurement point coordinates through image processing and calibration algorithms, eliminating manual measurement operations and significantly improving measurement efficiency without requiring overly complex device architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method and system enable accurate measurement and processing of complex surfaces, improving measurement efficiency and reducing computational complexity, while being cost-effective and suitable for end-user applications.
Implementation Method 1
A light beam is emitted to a processing object to form a light beam coverage region on the processing object through lights in the light beam
Implementation Method 2
Positional information of pixel points mapped by the measurement points is obtained from an image corresponding to the light beam coverage region
Data Source
AI summary
A processing control method, a processing device, a processing system are provided. The method includes the following. A light beam is emitted to a processing object to form a light beam coverage region on the processing object through lights in the light beam. Positional information of pixel points mapped by the measurement points is obtained from an image corresponding to the light beam coverage region. Coordinate information of each measurement point in the light beam coverage region is obtained according to a pre-configured calibration relationship and the positional information of the pixel points.


