Tire Sensor Road Condition Prediction Using Temperature and Humidity
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Solution Overview
Problem
Current tire monitoring systems rely on sensors that measure tire pressure and temperature but lack a comprehensive method to non-destructively examine tire conditions, such as tread wear and road hazards, which can lead to unsafe driving conditions.
Innovation Solution
The implementation of radar tomography for non-destructive examination of tires, which uses tire sensors to collect data on ambient air temperature and relative humidity, and then employs a road condition prediction system to analyze this data and predict current road conditions, thereby enhancing tire monitoring capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional tire sensors are used to monitor tire pressure and temperature, then basic tire safety monitoring is achieved, but comprehensive tire condition examination and road hazard detection are insufficient
Solution Approach 1:
The patent combines multiple sensing capabilities (pressure sensing, temperature sensing, and radar tomography) into an integrated tire monitoring system. The radar tomography system is merged with traditional tire sensors to create a comprehensive examination system that simultaneously monitors internal tire conditions and external road hazards, resolving the information gap while maintaining safety monitoring reliability
Solution Approach 2:
The tire monitoring system is enhanced to perform multiple functions: traditional pressure and temperature monitoring plus radar-based tomographic imaging for internal structure examination and road hazard detection. This multi-functional approach allows a single system to provide comprehensive tire condition assessment and external environment awareness, addressing the limitation of traditional single-function sensors
2Measurement precision
If radar tomography is implemented for comprehensive tire examination, then tire monitoring accuracy is improved, but system complexity increases
Solution Approach 1:
The radar tomography system is divided into discrete functional components: radar signal generators positioned around the tire, signal reception elements, and processing subsystems. This segmentation allows the complex tomography function to be implemented as modular additions to the existing tire sensor system, improving measurement precision while managing system complexity through structured component organization
Solution Approach 2:
The patent introduces radar signals as an intermediary mechanism to indirectly probe tire internal conditions and external road hazards. Rather than requiring direct physical contact or complex mechanical examination devices, the radar signals serve as mediators that carry information about tire structure and road conditions back to the processing system, achieving high measurement precision with relatively simple sensing elements
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
This solution enables more accurate and comprehensive tire monitoring, allowing for early detection of potential tire issues and improved road condition awareness, which can enhance safety and extend tire lifespan.
Implementation Method 1
radar tomography for non-destructive examination of tires
Data Source
AI summary
Disclosed is a road condition prediction system for vehicles. First, a computing device receives ambient temperature and relative humidity data from a vehicle, the ambient temperature and relative humidity data having been collected by a tire sensor mounted to an exterior of a tire of the vehicle or an exterior of a wheel of the vehicle. Then, the computing device applies a machine-learning model to the temperature and humidity data from the vehicle to predict a road condition for the vehicle. Subsequently, the computing device sends the road condition for the vehicle to a control system of the vehicle.