Virtual Circle Center Alignment for Multi-Device Positioning
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Solution Overview
Problem
Existing methods for positioning target devices are cumbersome and imprecise, making it difficult to align the center of a virtual circle including multiple devices with a predetermined position, such as the center of a turntable, which is essential for accurate radiated emission testing.
Innovation Solution
A position adjustment device that includes a position acquisition means, a center position identification means, and a movement information calculation means to automatically align the center of a virtual circle with a predetermined position, using a moving mechanism to adjust the base on which the devices are placed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual positioning methods are used to place target devices on a turntable, then the operation is simple, but the positioning precision and alignment accuracy with the rotation axis center are insufficient
Solution Approach 1:
The patent replaces manual mechanical positioning with an automated computer vision system. The imaging device captures images of the target device, and the control unit automatically calculates the position and orientation, substituting the mechanical manual alignment process with an optical-digital system that achieves higher precision without requiring complex mechanical positioning mechanisms.
Solution Approach 2:
The system enables self-positioning of the target device by using the device's own features (such as display content or visual markers) as reference points. The imaging device captures images of the target device itself, and the control unit uses this information to automatically determine positioning parameters, allowing the target device to serve its own positioning needs without external complex fixtures.
2Measurement precision
If automated positioning systems are introduced to improve alignment accuracy, then the positioning precision improves, but the system complexity and cost increase
Solution Approach 1:
The control unit serves multiple functions: it processes images from the imaging device, calculates the position and orientation of the target device, determines the movement amount and direction, and controls the moving mechanism. This multi-functionality consolidates what could be separate complex subsystems into a single integrated unit, achieving high alignment accuracy without proportionally increasing system complexity.
Solution Approach 2:
The patent introduces an image as an intermediary between the target device and the positioning system. Instead of direct mechanical measurement or complex sensor arrays, the system uses optical imaging to capture position information, which is then processed digitally to determine alignment parameters. This intermediary approach simplifies the physical system while maintaining high measurement precision.
3Productivity
If manual adjustment methods are used, then the system is simple, but the time required for positioning and the reproducibility of results are poor
Solution Approach 1:
The system performs preliminary capture of the target device's position and orientation information through imaging before any physical movement occurs. The control unit calculates the required adjustments based on this preliminary data, and only then activates the moving mechanism. This sequence of preliminary information gathering followed by precise execution reduces iterative adjustments and speeds up the overall positioning process.
Solution Approach 2:
The system establishes a feedback loop where the imaging device continuously monitors the position of the target device, the control unit processes this visual feedback to calculate alignment status, and the moving mechanism makes real-time adjustments based on this feedback. This closed-loop control ensures rapid convergence to the correct position and improves both speed and reproducibility compared to open-loop manual adjustment.
Data Source
AI summary
A position adjustment device acquires positions of multiple target devices, identifies a center position of a virtual circle so that the plurality of target devices are located within the virtual circle, and calculates movement information for aligning the center position with a predetermined position.