Touchscreen Diffusion Control for Precise Illumination Adjustment
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Solution Overview
Problem
Conventional illumination devices face challenges in achieving fine adjustment of light diffusion due to fluctuations in touch detection positions, making it difficult to control the diffusion degree accurately.
Innovation Solution
A control device with a touch sensor and display panel is used to adjust the diffusion degree of light emitted from a light source, employing coarse and fine adjustment processing to match a target diffusion degree, utilizing a plurality of detection elements and an adjustment screen for precise control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional touch position detection is used to adjust diffusion degree, then the adjustment can be performed, but the adjustment precision deteriorates due to fluctuations in touch detection position
Solution Approach 1:
The control device displays the current diffusion degree on the display panel and compares it with the target diffusion degree derived from touch position. Based on this feedback, the control device automatically determines appropriate adjustment steps, transitioning from manual to automated control to eliminate touch position fluctuations from affecting precision.
Solution Approach 2:
The control device introduces an intermediary processing layer between the touch input and the diffusion degree adjustment. This intermediary layer converts the touch position into a target diffusion degree, then uses coarse and fine adjustment algorithms to bridge the gap between current and target states, filtering out the noise from direct touch position mapping.
2Device complexity
If manual adjustment method is used, then the control device structure remains simple, but the adjustment speed and precision deteriorate
Solution Approach 1:
The control device performs preliminary coarse adjustment by calculating the difference between current and target diffusion degrees, then applying large-step adjustments to get close to the target value quickly. This preliminary action reduces the remaining adjustment range for subsequent fine adjustment, significantly improving overall adjustment speed without requiring complex real-time control systems.
Solution Approach 2:
The control device dynamically switches between different adjustment modes (coarse adjustment with larger steps and fine adjustment with smaller steps) based on the current state. This dynamic adjustment strategy allows the system to achieve both speed and precision automatically, with the control logic adapting the adjustment behavior based on the remaining distance to the target diffusion degree.
3Device complexity
If single-step adjustment is used, then the control algorithm is simple, but the adjustment precision and ease of operation deteriorate
Solution Approach 1:
The control algorithm is segmented into two distinct phases: coarse adjustment and fine adjustment. The coarse adjustment phase handles the bulk of the diffusion degree change with larger steps, while the fine adjustment phase completes the precision tuning with smaller steps. This segmentation allows each phase to be optimized independently, achieving high precision without requiring an overly complex single-step algorithm.
Data Source
AI summary
According to an aspect, a control device includes a touch sensor and a display panel configured to display an adjustment region for adjusting the diffusion degree of each illumination device. The control device is configured to: acquire a target diffusion degree corresponding to a touch detection position in the adjustment region; and execute coarse adjustment processing of adjusting the diffusion degree to be close to the target diffusion degree in steps of a first adjustment interval, matching processing of matching the diffusion degree to the target diffusion degree, and fine adjustment processing of adjusting the diffusion degree to be close to the target diffusion degree in steps of a second adjustment interval. The control device is configured to calculate a diffusion degree difference value and execute the coarse adjustment processing, the matching processing, or the fine adjustment processing depending on the diffusion degree difference value.