Motorcycle Fall Detection Using Noise-Resistant Variable Interval Sensing
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Solution Overview
Problem
Conventional vehicle falling-over detection systems are prone to erroneous engine shutdown due to noise from disturbance factors like vibrations and electromagnetic waves, which can lead to false inclinations being detected, potentially causing accidents during travel.
Innovation Solution
A vehicle falling-over detection device that uses an acceleration sensor to detect inclination angles at irregular intervals, determined by an interval adjusting device, to prevent noise-induced false determinations of vehicle fall, thereby ensuring accurate detection and preventing engine shutdown errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the inclination angle detector detects the inclination angle at constant intervals, then the detection is simple and systematic, but noise from disturbance factors occurring at similar cycles can cause erroneous detection of vehicle falling-over
Solution Approach 1:
The patent applies the dynamics principle by making the detection interval variable rather than fixed. The interval deciding unit dynamically adjusts the detection interval based on vehicle operating conditions, ensuring that detection timing does not consistently coincide with periodic noise cycles from engine vibration or other disturbance factors. This dynamic adjustment prevents systematic erroneous detection while maintaining detection effectiveness.
Solution Approach 2:
The patent utilizes periodic action by implementing regular detection cycles but varying their timing. The inclination angle detector performs detection at periodic intervals determined by the interval deciding unit, which sets different intervals based on vehicle state. This periodic yet variable approach ensures comprehensive monitoring while avoiding resonance with external noise cycles that could cause false positives.
2Reliability
If the device uses a counter to verify successive detections, then false positives due to single-instance noise are reduced, but the system may still fail when noise occurs at regular intervals matching the detection cycle
Solution Approach 1:
The patent implements feedback through the counter mechanism that tracks successive detection results. When the inclination angle exceeds the threshold, the counter increments; when it falls below, the counter resets. This feedback loop continues until the counter reaches a predetermined value, at which point falling-over is confirmed. This feedback-based approach filters out transient noise while maintaining responsive detection of actual falling-over events.
Solution Approach 2:
The patent applies preliminary action by requiring the counter to reach a predetermined value before confirming falling-over. This preliminary verification process ensures that transient noise or single-instance erroneous detections do not trigger false engine shutdown. The system prepares by accumulating evidence through successive detections before taking the final action of confirming falling-over.
3Reliability
If the detection interval is made irregular to avoid noise cycles, then detection accuracy improves, but the predictability and systematic nature of the detection system is reduced
Solution Approach 1:
The patent applies dynamics by making the detection interval adaptive rather than fixed. The interval deciding unit adjusts detection intervals based on vehicle operating conditions, creating an irregular but purposeful pattern. This dynamic approach maintains systematic control through rule-based adjustment while achieving noise resistance by avoiding consistent timing with disturbance cycles.
Solution Approach 2:
The patent utilizes parameter changes by varying the detection interval parameter based on vehicle state. The interval deciding unit changes the time parameter between detections according to operating conditions, such as engine speed or vibration levels. This parameter adjustment allows the system to adapt to different noise environments while maintaining controlled and predictable behavior within each operating regime.
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 effectively reduces the impact of noise on inclination angle detection, preventing erroneous engine shutdowns and enhancing the reliability of falling-over detection, thus minimizing the risk of accidents.
Implementation Method 1
inclination angle detector that detects an inclination angle of a vehicle
Data Source
AI summary
A falling-over detection device is mounted on a motorcycle. The falling-over detection device includes an acceleration sensor that detects acceleration at an interval decided by an interval adjusting device, a threshold value determining device that determines whether or not a detected angle is larger than a predetermined threshold value, a counting device that counts the number of times it is determined that the detected angle is larger than the threshold value, and a falling-over determining device that determines that the motorcycle has fallen over in a case where the count is successive a predetermined number of times. The interval adjusting device uses a pulse generated based on white noise as an interval, and therefore noise does not successively affect a value detected by the acceleration sensor.