Elevator Camera Positioning via Reference Pattern Scaling
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Solution Overview
Problem
Existing elevator position-determination systems face challenges in maintaining robustness due to vibrations, which affect the camera's distance from the surface structure, leading to inconsistencies in image size and dimension recognition, hindering accurate position identification.
Innovation Solution
A position-determination system for elevators that includes a camera with a sensor and an analysis unit, which uses a reference pattern with specified dimensions within the camera's capturing range for calibration, allowing for accurate measurement of pattern dimensions irrespective of distance, and corrects for errors caused by varying distances through scalable image data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to capture surface structure images for position determination, then position identification is enabled, but vibrations cause distance variations that lead to image size inconsistencies and reduce measurement accuracy
Solution Approach 1:
The system dynamically adjusts the evaluation parameters for image pattern recognition based on the detected distance between camera and surface structure. By changing parameters such as pattern size thresholds and scaling factors according to the actual distance, the system maintains accurate position determination despite vibrations causing distance variations.
Solution Approach 2:
The system continuously monitors the distance between the camera and surface structure during operation and uses this feedback to adjust the image evaluation process. The detected distance information is fed back to modify the pattern recognition criteria, ensuring that position determination remains accurate even when vibrations cause the distance to fluctuate.
2Measurement precision
If the distance between camera and surface structure varies due to vibrations, then image size changes occur, but this makes it impossible to deduce true pattern dimensions and hinders unique reference image identification
Solution Approach 1:
The system adapts the pattern recognition parameters based on the detected distance. When the distance changes due to vibrations, the system automatically adjusts the expected pattern size and evaluation criteria to match the new distance conditions, allowing accurate dimension measurement without increasing system complexity.
Solution Approach 2:
The image analysis process is made dynamic by continuously adjusting the evaluation parameters according to the real-time distance between camera and surface structure. This dynamic adaptation allows the system to handle distance variations from vibrations without requiring a fundamentally more complex device architecture.
3Measurement precision
If reference images are stored for position determination, then position identification is enabled, but vibrations cause distance variations that make reference image sizes inconsistent with captured images, preventing unique identification
Solution Approach 1:
The system stores multiple reference images with associated distance information and dynamically selects and adjusts the appropriate reference images based on the currently detected distance. By changing the reference image parameters to match the actual distance conditions, the system ensures reliable pattern identification even when vibrations cause distance fluctuations.
Solution Approach 2:
The system uses the detected distance as feedback to select the most appropriate reference images for comparison. The distance information feeds back into the image matching process, allowing the system to compensate for distance variations caused by vibrations and maintain reliable position identification.
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 system achieves robust and accurate position determination of the elevator car by ensuring sub-pixel accuracy and continuous correction of position and velocity values, even under conditions of significant vibrations, through calibration and scaling of image data.
Implementation Method 1
the camera contains a sensor with a defined number of light-sensitive pixels. By means of this sensor, the camera generates image data of a surface structure of hoistway material
Data Source
AI summary
A position-determination system for an elevator uses a camera arranged on an elevator car, which camera has a sensor with a defined number of light-sensitive pixels for generating image data of a surface structure of hoistway material arranged along a travel path of the elevator car. An analysis unit, based on the image data, determines a position and/or velocity of the elevator car. The position-determination system recognizes a reference pattern with a specified dimension which lies in a capturing range of the camera, wherein, based on the reference pattern, the analysis unit performs a scaling of the image data.