Road Surface State Determination Using Tire-Specific Support Vectors
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Solution Overview
Problem
Current road surface state determination devices struggle to accurately and quickly assess road conditions due to variations in tire types and manufacturers, leading to reduced determination accuracy and longer processing times.
Innovation Solution
A tire system with a vibration detection unit, waveform processing, and data communication capabilities that identifies tire types and uses corresponding support vectors to determine road surface states, enabling precise and timely assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a general road surface state determination method is used without tire identification, then the device complexity is reduced, but the measurement precision of road surface state deteriorates due to variations in tire types and manufacturers
Solution Approach 1:
The system performs preliminary tire identification by extracting identification information from vibration detection signals before conducting road surface state determination. This preliminary action enables the selection of appropriate support vectors specific to each tire type, thereby improving measurement precision without requiring complex real-time adjustments during the determination process
Solution Approach 2:
The system changes the parameter set used for road surface state determination based on the identified tire type. By selecting different support vectors and determination parameters tailored to specific tire characteristics, the system achieves high measurement precision while maintaining relatively simple device architecture through parameter adaptation rather than structural complexity
2Measurement precision
If tire identification and type-specific support vectors are used, then the measurement precision of road surface state is improved, but the processing time increases due to additional identification steps
Solution Approach 1:
The system merges the tire identification process and road surface state determination into a single integrated processing flow. By extracting identification information and determination information simultaneously from the same vibration detection signals and processing them through unified waveform processing, the system achieves type-specific accurate determination without significant time penalty
Solution Approach 2:
The system performs partial tire identification by extracting only the necessary identification information from vibration signals sufficient for selecting the appropriate support vector category, rather than performing complete tire characterization. This partial action approach achieves the needed precision while minimizing additional processing time
3Productivity
If vibration detection signals are processed without waveform processing and identification extraction, then the processing speed is increased, but the measurement precision of road surface state deteriorates
Solution Approach 1:
The system extracts only the essential identification information and determination information from the vibration detection signals through waveform processing, rather than analyzing the entire signal spectrum. This selective extraction maintains high processing speed by focusing computational resources on the most relevant signal features while achieving sufficient measurement precision
Solution Approach 2:
The system performs partial waveform processing that extracts sufficient identification and determination information without conducting exhaustive signal analysis. By processing only the necessary portions of the vibration signal required for accurate road surface state determination, the system maintains high processing speed while achieving the needed measurement precision
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 accurately determines road surface states by using support vectors tailored to specific tire types, enhancing both accuracy and speed of determination.
Implementation Method 1
a vibration detection unit that outputs a detection signal according to a magnitude of the vibration of the tire
Data Source
AI summary
A vehicle body side system has a second data communication unit that receives road surface data transmitted from a first data communication unit, a storage unit that stores teacher data, a road surface determination unit that determines a road surface state on a traveling road surface of a vehicle based on the road surface data and the teacher data, and a tire identification unit that identifies a predetermined type as an identification target and identifies which content the tire corresponds to in the type. The tire identification unit identifies the tire based on the identification data transmitted from the tire side device, and the road surface determination unit determines the road surface state using a teacher data corresponding to the tire identification result, when the road surface determination unit determines the road surface state.