Vehicle Damage Detector Using Suspension Displacement Sensors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an effective method to estimate and project vehicle damage based on road conditions, vehicle type, and mechanical status, which hinders accurate assessment of potential damage and its impact on vehicle value.
Innovation Solution
A vehicle damage detection system that includes sensors to report suspension displacement, processors to estimate existing and projected suspension damage, and calculate the marginal decrease in vehicle value from a projected route, utilizing mathematical models to simulate suspension movements and road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mathematical models and sensors are used to estimate and project vehicle damage, then measurement precision of damage assessment is improved, but device complexity increases
Solution Approach 1:
The damage detection system is segmented into distinct functional modules: suspension displacement sensors, road condition sensors, mathematical modeling components, and value calculation modules. This segmentation allows each component to perform its specific function independently, improving overall measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The system performs preliminary actions by continuously collecting suspension displacement data and road condition information before actual damage occurs. Mathematical models process this data in advance to estimate existing damage and project future damage, enabling proactive assessment rather than reactive evaluation after damage has already impacted vehicle value.
2Reliability
If the system projects marginal future suspension damage based on route and existing damage, then reliability of damage prediction is improved, but loss of time for data processing increases
Solution Approach 1:
The system implements periodic action by continuously and regularly collecting suspension displacement data at scheduled intervals during vehicle operation. This periodic data collection, combined with continuous mathematical modeling, maintains reliable damage predictions without requiring excessive processing time, as the system processes data in regular cycles rather than attempting to analyze every instantaneous measurement.
Solution Approach 2:
The system uses feedback mechanisms where projected damage estimates are continuously updated based on actual measured suspension displacement data. The mathematical models compare predicted damage with actual sensor readings, refining future predictions and improving reliability over time while maintaining efficient processing through iterative rather than exhaustive analysis.
Data Source
AI summary
A vehicle damage detector includes: a vehicle with a motor, a suspension, a wheel, a sensor configured to report a suspension displacement; processor(s) configured to: estimate existing suspension damage based on the reports, project marginal future suspension damage based on a route and the existing suspension damage, calculate a marginal decrease in vehicle value from taking the projected route.