Touch Panel Noise Diagnosis Using Multi-Node Signal Thresholds
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Solution Overview
Problem
Noise generated by machine tools can interfere with electrostatic capacitive touch panels, leading to erroneous touch operations, as the existing systems fail to accurately distinguish between touch signals and noise-induced signals.
Innovation Solution
A diagnosis device and method that acquires signal intensities at multiple nodes of the touch panel and determines noise levels based on signal intensities below a touch sensing threshold, using a noise level determination unit to differentiate between touch operations and noise influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If signal intensities at multiple nodes are monitored to detect touch operations, then touch sensitivity is improved, but false detection due to noise increases
Solution Approach 1:
The touch panel is divided into multiple nodes for independent signal intensity measurement. By partitioning the panel into discrete nodes, the system can analyze spatial distribution of signal intensities, enabling differentiation between genuine touch patterns and noise through multi-point correlation analysis.
Solution Approach 2:
The system dynamically adjusts the touch sensing threshold based on environmental noise levels. By continuously monitoring signal intensities and adapting the threshold parameter, the system maintains optimal touch detection sensitivity while filtering out noise-induced false positives.
2Ease of operation
If the touch sensing threshold is lowered to detect weaker touches, then touch sensitivity is improved, but susceptibility to noise interference increases
Solution Approach 1:
The touch sensing threshold is made dynamic rather than fixed. The system continuously adapts the threshold based on real-time noise level assessment, allowing the threshold to be lower in low-noise environments for high sensitivity while automatically raising it in high-noise environments to prevent false detections.
Solution Approach 2:
The system implements feedback by continuously monitoring signal intensities at multiple nodes and using this information to adjust the touch sensing threshold. The noise level determination unit provides feedback about environmental conditions, enabling the threshold to be optimized for current operating conditions.
3Reliability
If noise level determination is implemented to reduce false detections, then reliability is improved, but system complexity increases
Solution Approach 1:
The signal intensity acquisition unit serves multiple functions: it detects touch operations, determines noise levels, and provides data for both immediate touch detection and environmental noise assessment. This multi-functionality reduces the need for separate dedicated noise sensing hardware.
Solution Approach 2:
The touch panel system performs self-diagnosis by using its own signal intensity measurements to determine noise levels and adjust its operation accordingly. The system serves itself by utilizing existing sensing capabilities for both touch detection and noise characterization without requiring external diagnostic equipment.
Data Source
AI summary
A diagnosis device according to one embodiment of the present invention includes: a signal strength acquisition unit that acquires the signal strength of each of a plurality of nodes that divide a touch panel; and a noise level determination unit that determines a noise level on the basis of the state of the signal strengths under a touch detection threshold, among the acquired signal strengths.