Front-Rear Wheel Load Sensing for Human-Powered Vehicle Motion Detection
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Solution Overview
Problem
Existing human-powered vehicle detection systems lack accuracy in determining motion information and rider technical level due to insufficient data on load applied to the wheels.
Innovation Solution
A detection system comprising a load sensor and electronic controller circuitry that obtains load information, including air pressure, to determine motion information and rider technical level, using front and rear load sensors to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional detection methods are used without load sensors, then the device complexity is low, but the measurement precision of motion information is insufficient
Solution Approach 1:
The detection system is segmented into multiple independent load sensors (front load sensor and rear load sensor) that separately measure load at different locations. This segmentation allows precise measurement of motion information by analyzing load distribution patterns, while keeping each individual sensor simple in structure.
Solution Approach 2:
The controller acts as an intermediary that processes raw load data from the load sensors and converts it into meaningful motion information. The controller receives load measurements and intermediary calculations to determine motion parameters, bridging the gap between simple sensor data and useful motion information.
2Reliability
If only single-point load measurement is used, then the device complexity is low, but the reliability of motion detection is insufficient
Solution Approach 1:
The system uses multiple load sensors positioned at different locations (front and rear) to segment the measurement process. This segmentation provides multiple data points that can be cross-validating, improving reliability through redundancy while maintaining simple individual sensor designs.
Solution Approach 2:
The system transitions from single-point measurement to multi-point spatial measurement by adding the front load sensor. This dimensional expansion from one measurement point to two provides additional information about motion characteristics, improving detection reliability through enhanced data dimensionality.
3Measurement precision
If air pressure measurement is not included, then the device complexity is low, but the measurement precision of load information is insufficient
Solution Approach 1:
The load sensors are designed with multi-functionality, serving both as mechanical load measurement devices and as air pressure sensing devices. This universal design allows the same sensor hardware to provide both load information and air pressure data, improving measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system utilizes the relationship between air pressure and load by measuring air pressure changes as an additional parameter. The controller analyzes both mechanical load data and air pressure data together, using parameter changes in the air pressure field to enhance the precision of load information extraction.
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 the accuracy of motion information and rider technical level determination by utilizing load information, particularly air pressure, to enhance the detection system's reliability.
Implementation Method 1
the load information includes air pressure information relating to an air pressure of the wheel
Data Source
AI summary
A detection system comprises a load sensor and electronic controller circuitry. The load sensor is configured to obtain load information relating to a load applied, while a rider rides a human-powered vehicle, to a wheel of the human-powered vehicle. The electronic controller circuitry is configured to obtain, based on the load information, motion information relating to a motion of the human-powered vehicle.