Rollable Display Magnetic Sensor Calibration Through Structural Changes
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Solution Overview
Problem
Rollable electronic devices face challenges in maintaining accurate geomagnetic sensor data due to environmental factors, requiring inconvenient user operations for calibration, which can lead to device damage and reduced portability.
Innovation Solution
An electronic device with a rollable display and magnetic sensor that moves between positions within the device structure, allowing for automatic calibration of geomagnetic data through changes in coupling states, eliminating the need for additional user operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user manually calibrates the geomagnetic sensor by moving the device in a circle or figure eight shape, then the sensor accuracy is improved, but the device complexity increases and the ease of operation deteriorates
Solution Approach 1:
The system automatically performs sensor calibration by detecting the device's own structural changes during rolling operations. The processor identifies when the device transitions between rolled and unrolled states, and automatically triggers calibration routines using the magnetic sensor data from these positional changes, eliminating the need for users to manually perform calibration gestures.
Solution Approach 2:
The system performs calibration automatically at predetermined moments when the device's structural state changes (when rolling in or out). This preliminary automatic calibration ensures sensor accuracy is maintained without requiring users to perform manual calibration operations, resolving the contradiction between maintaining precision and ease of operation.
2Measurement precision
If the user manually calibrates the geomagnetic sensor, then the sensor accuracy is improved, but the time required increases and productivity decreases
Solution Approach 1:
The device automatically performs calibration routines by utilizing its own structural changes during normal rolling operations. The processor detects when the device transitions between rolled and unrolled states and automatically executes calibration algorithms, eliminating the time users would otherwise need to spend on manual calibration while maintaining sensor accuracy.
Solution Approach 2:
The system performs calibration automatically at predetermined moments when structural changes occur, ensuring sensor accuracy is maintained without requiring users to allocate time for manual calibration operations. This resolves the contradiction between maintaining measurement precision and minimizing time loss.
3Measurement precision
If the device is extended to a large size for calibration operations, then the sensor calibration can be performed, but the risk of device damage increases and reliability decreases
Solution Approach 1:
The device uses its own normal rolling structural changes as the basis for calibration, rather than requiring the device to be fully extended for manual calibration gestures. The processor detects calibration opportunities during routine rolling in and out operations, eliminating the need to maintain the device in a fully extended state and reducing damage risk while maintaining calibration capability.
4Measurement precision
If additional operations are required for sensor calibration, then the sensor accuracy can be maintained, but the device complexity increases
Solution Approach 1:
The system merges the calibration function with the normal rolling operations. The processor detects when the device transitions between rolled and unrolled states and automatically triggers calibration routines, combining what were previously separate operations (rolling and calibration) into a single integrated process. This reduces device complexity while maintaining sensor accuracy.
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
Improves geomagnetic sensor accuracy by automating calibration during structural changes, enhancing user convenience and reducing the risk of device damage.
Implementation Method 1
a magnetic sensor disposed at a first position in the second housing coupled with the first housing in a first state. The magnetic sensor is configured to move from the first position to a second position based on a movement of the second housing in the first state relative to the first housing
Data Source
AI summary
An electronic device includes a first housing, a second housing, a rollable display, a magnetic sensor, and a processor. The magnetic sensor is disposed at a first position in the second housing coupled with the first housing in a first state. The magnetic sensor is configured to move from a first position to a second position based on a movement of the second housing in the first state so that the first housing and the second housing are coupled in a second state and to move from the second position to the first position based on a switching from the second state to the first state. The processor is configured to: electrically connect to the magnetic sensor, obtain geomagnetic data based on a movement of the magnetic sensor, and obtain correction data based on the obtained geomagnetic data.