Adaptive Warning Device for Bicycle Brake Light Sensitivity
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Solution Overview
Problem
Existing bicycle brake lights struggle to accurately detect gentle deceleration on smooth or less bumpy road surfaces, leading to inadequate warning signals during gentle braking, which can increase the risk of collisions, especially at night.
Innovation Solution
A warning device for movable devices that includes a sensing unit, data processing unit, and motion analyzing unit, which uses a weighted-average algorithm to adjust warning sensitivity based on acceleration data, allowing for more accurate triggering of warning signals by comparing vibration values with predetermined thresholds, thereby enhancing the detection of gentle deceleration on various road surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If an acceleration sensor is used to detect braking, then the brake light can be controlled automatically, but gentle deceleration on smooth surfaces cannot be detected accurately
Solution Approach 1:
The patent applies dynamics by making the threshold value dynamic rather than fixed. The threshold is adjusted in real-time based on road surface conditions detected by the sensor. When the road surface is smooth (low vibration), the threshold is lowered to detect gentle deceleration. When the road surface is rough (high vibration), the threshold is raised to avoid false positives. This dynamic adjustment resolves the contradiction between automatic control and detection accuracy.
Solution Approach 2:
The patent changes the parameter of the threshold value based on detected road surface conditions. By monitoring vibration levels and adjusting the deceleration threshold accordingly, the system adapts to different road surfaces. This parameter change enables accurate detection of gentle deceleration on smooth surfaces while maintaining reliability on rough surfaces, resolving the measurement precision issue.
2Ease of operation
If a fixed threshold value is used for warning activation, then the device operation is simple, but the warning accuracy varies on different road surfaces
Solution Approach 1:
The system transitions from a static fixed threshold to a dynamic adaptive threshold. The threshold automatically adjusts based on real-time road surface vibration detection. This maintains ease of operation (no manual intervention needed) while significantly improving reliability across different road conditions by adapting to smooth versus rough surfaces.
Solution Approach 2:
The system performs self-adjustment by automatically detecting road surface conditions and modifying its own threshold parameter accordingly. The sensor monitors vibration levels and the processor autonomously adjusts the threshold, eliminating the need for manual calibration or user intervention. This self-service mechanism maintains operational simplicity while enhancing warning accuracy across varying road surfaces.
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 dynamically adjusts warning sensitivity to ensure more accurate and timely warning signals, even during gentle braking on smooth or less bumpy surfaces, reducing the risk of collisions by improving the detection of deceleration events.
Implementation Method 1
The sensing unit senses the movement of the moveable device to generate a plurality of acceleration data associated with a motion identification of the movement
Data Source
AI summary
A method for adjusting a warning sensitivity of a movable device having a movement includes the following steps: The movement of the movable device is sensed to generate a plurality of acceleration data associated with a motion identification of the movement. The plurality of acceleration data is sampled to obtain a plurality of parameters within a specific sampling interval. Each of the plurality of parameters is compared with a first pre-determined threshold value to generate a first result; and adjusting a second pre-determined threshold value reflecting the warning sensitivity based on the first result.