Vehicle Wear Mitigation Routing Platform
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Solution Overview
Problem
Vehicle components experience degradation and wear due to mechanisms like vibration and friction, with varying wear rates on different surfaces and road defects that are location-specific.
Innovation Solution
A vehicle control system that monitors surface characteristics using sensors and assesses driving routes to mitigate wear on vehicle components, employing methods such as machine learning models, transfer functions, and frequency domain analysis to identify correlations between routes and wear patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicle components operate on rough surfaces with defects, then productivity and route flexibility are improved, but wear on vehicle components increases
Solution Approach 1:
The system performs preliminary assessment of road surfaces and wear patterns before routing decisions are made. By analyzing historical wear data and surface characteristics in advance, the system can pre-determine optimal routes that minimize wear while maintaining productivity, rather than reacting to wear issues after they occur.
Solution Approach 2:
The system implements continuous feedback loops where sensor data from vehicle components monitors actual wear in real-time. This feedback is used to update routing algorithms dynamically, allowing the system to adjust routes based on accumulated wear data and surface conditions, thereby reducing overall component wear while maintaining operational efficiency.
2Device complexity
If traditional routing systems are used without wear consideration, then device complexity is minimized, but loss of time due to maintenance increases
Solution Approach 1:
The routing system performs self-optimization by automatically analyzing wear sensor data and adjusting routes without requiring external intervention. The system serves itself by using its own operational data to improve its routing decisions, reducing the need for complex external management systems while minimizing maintenance downtime through autonomous adaptability.
Solution Approach 2:
The system changes routing parameters dynamically based on wear accumulation. Instead of using fixed routes, the system adjusts route parameters (such as selecting alternative paths or modifying timing) based on real-time wear data, thereby reducing vehicle downtime without requiring overly complex system architecture.
3Reliability
If wear monitoring and routing assessment systems are implemented, then component reliability is improved, but device complexity increases
Solution Approach 1:
The control system is designed with multi-functionality, where a single integrated platform performs multiple tasks including wear monitoring, surface assessment, routing optimization, and predictive maintenance scheduling. By consolidating these functions into one universal system rather than separate specialized systems, the complexity increase is minimized while achieving comprehensive wear mitigation.
Solution Approach 2:
The system merges wear sensing capabilities with existing routing and navigation systems into an integrated control platform. By combining previously separate functions (wear monitoring and route planning) into a unified system, the patent reduces overall device complexity compared to having independent systems, while still achieving improved component reliability through coordinated wear mitigation strategies.
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 wear on vehicle components, decreases vehicle downtime, and lowers maintenance costs by providing routing recommendations that minimize exposure to wear-causing road surfaces.
Implementation Method 1
receiving signals generated by a number of sensors built into specific locations on the vehicle, the sensors including at least one vibration sensor
Implementation Method 2
applying a machine learning (ML) model trained to predict component wear to at least a first portion of the signals
Implementation Method 3
generating a frequency domain representation of at least a third portion of the signals
Data Source
AI summary
A method for assessing driving routes to mitigate wear on a vehicle may include determining a driving route traversed by a vehicle, the driving route including an origin and a destination. The method may include receiving signals generated by a number of sensors built into specific locations on the vehicle, the sensors including at least one vibration sensor. The method may include assessing wear on the vehicle due to one or more wear mechanisms based on the signals. The method may include identifying a correlation between the driving route and the assessed wear on the vehicle, transmitting information associated with the correlation between the driving route and the assessed wear on the vehicle, receiving a routing recommendation based on information about an alternate route, and displaying the routing recommendation.