Virtual Measurement Simulation for Automated Optical Inspection Setup
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Solution Overview
Problem
Current measurement systems in automated production, such as those using optical measuring systems with robots, often require manual setup of projector and detector positions, which is time-consuming and may result in suboptimal or unfeasible measurements due to positioning issues, lack of view, or interference from environmental factors.
Innovation Solution
A method involving the creation and use of virtual models to simulate the measurement process, allowing for quick testing, validation, and optimization of the measurement setup, including the positioning of detection devices and components relative to each other, to determine optimal measurement parameters and configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setup of projector and detector positions is used, then measurement can be performed, but setup time is excessive and measurement optimality is compromised
Solution Approach 1:
The patent applies preliminary action by performing virtual simulations of the measurement setup before actual physical setup. Virtual models of the component, projector, and detector are created, and multiple measurement configurations are simulated in advance to identify optimal positions and parameters. This preliminary virtual preparation eliminates the need for time-consuming trial-and-error manual setup, directly resolving the contradiction between measurement optimality and setup time.
Solution Approach 2:
The patent uses copying by creating virtual copies (digital twins) of the physical measurement system components. A virtual model of the component to be measured is created, along with virtual models of the projector and detector. These virtual copies allow for rapid testing and optimization of measurement configurations without affecting the physical system, enabling fast determination of optimal setup parameters before actual measurement.
2Measurement precision
If manual positioning of detection device is used, then measurement can be performed, but positioning accuracy and view optimization are insufficient
Solution Approach 1:
The patent determines optimal positions of the detection device through preliminary virtual simulations. The system evaluates multiple candidate positions virtually, assessing factors such as viewing angles, occlusions, and measurement quality metrics. The best position identified through simulation is then directly applied to the physical detection device, eliminating the need for difficult manual positioning and ensuring optimal viewing conditions.
Solution Approach 2:
The patent employs feedback by using the results of virtual measurements to guide physical setup. The simulation provides quantitative feedback about measurement quality at different positions, which is then used to adjust the physical detection device to the optimal position. This feedback loop ensures high positioning accuracy while simplifying the operation, as the system tells you exactly where to position the device rather than requiring manual optimization.
3Productivity
If virtual simulation is performed, then setup time is reduced and measurement optimization is improved, but computational resources and simulation complexity increase
Solution Approach 1:
The patent creates simplified virtual models (copies) of the physical system that capture the essential geometric and optical characteristics without requiring full physical fidelity. These virtual models include the component geometry, projector characteristics, and detector parameters, allowing for efficient simulation of measurement configurations. The copying approach enables rapid virtual testing while keeping computational requirements manageable.
Solution Approach 2:
The patent systematically varies key parameters in the virtual simulation, such as detector position, projector orientation, and measurement patterns, to evaluate different measurement configurations. By focusing simulation efforts on the most influential parameters rather than modeling every detail, the system achieves high setup efficiency without excessive computational complexity. The simulation optimizes parameters like position coordinates and orientation angles to identify the best measurement setup.
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
This approach enables efficient, cost-effective, and accurate determination of component features, improving measurement precision and reducing manual effort by simulating the measurement process, accounting for disruptive influences and optimizing measurement situations before actual setup.
Implementation Method 1
one or more transmitters, in particular transmitters for emitting electromagnetic radiation such as visible or invisible, in particular ultraviolet, light
Implementation Method 2
one or more receivers, in particular for receiving such electromagnetic radiation, for example in the form of one or more CCD or CMOS cameras
Implementation Method 3
Triangulation, in particular light line or light section triangulation, can preferably be used
Data Source
Figure 1~3
AI summary
The method involves providing a measuring situation with a detection device i.e. transmitter-receiver-head (1), and a component (2). Characteristic (2.1) of the component is measured by the detection device, and a virtual measuring situation is provided with a virtual model of the detection device and a virtual model of the characteristic. Characteristic model is virtually measured by the virtual model of the detection device, where the detection device and/or the virtual model of the detection device comprises a transmitter for transmitting light or radio waves and/or sound. Independent claims are also included for the following: (1) a device for measuring characteristic of a cascaded component (2) a computer program comprising instructions to perform a method for measuring characteristic of a cascaded component (3) a computer program product with a program code to perform a method for measuring characteristic of a cascaded component.