Tire Fatigue Index Calculation Using Sensor Maps
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Solution Overview
Problem
Existing tire state detection methods for mine transportation vehicles require extensive manual corrections due to variations in vehicle types, mine conditions, and road surfaces, leading to significant man-hours spent on data adjustments.
Innovation Solution
A tire state detection device equipped with temperature, acceleration, and pressure sensors that calculate fatigue indices using stored maps, allowing for real-time tire condition assessment independent of specific vehicle or mine variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction by various parameters such as physical parameters of a mine and a vehicle is used to grasp tire state, then measurement precision is improved, but device complexity and loss of time increase due to requiring large number of man-hours for correction
Solution Approach 1:
The system uses the vehicle's own existing sensors (acceleration sensor, temperature sensor, pressure sensor) to automatically detect and calculate tire stress indices without requiring external manual correction. The tire state detection device self-services by utilizing already-collected vehicle operation data to compute the stress index through map-based calculation, eliminating the need for manual parameter adjustment while maintaining high measurement precision.
2Measurement precision
If correction by various parameters such as physical parameters of a mine and a vehicle is used to grasp tire state, then measurement precision is improved, but ease of operation deteriorates due to requiring extensive manual corrections
Solution Approach 1:
The system automatically performs tire state detection using pre-stored maps and real-time sensor data from the vehicle. The calculation unit computes the stress index by referencing the map with detected acceleration, temperature, and pressure values, completely automating the process and making it easy to operate without manual intervention while maintaining high precision through the map-based correction approach.
Solution Approach 2:
The correction parameters and calculation maps are prepared in advance and stored in the system. By pre-configuring the stress index calculation maps that incorporate mine physical parameters and vehicle characteristics, the system eliminates the need for manual correction during operation, improving both ease of operation and measurement precision simultaneously.
3Measurement precision
If product of load and travel distance is calculated and corrected by physical parameters to obtain stress index, then measurement precision is improved, but device complexity increases due to requiring multiple correction parameters
Solution Approach 1:
The system merges multiple correction factors (mine physical parameters, vehicle characteristics, road surface conditions) into a single integrated stress index calculation map. Instead of applying separate corrections for each parameter, the map combines all these factors into one comprehensive lookup table that correlates acceleration, temperature, and pressure with stress index, simplifying the device while maintaining high measurement precision.
Solution Approach 2:
The system changes the approach from multiple separate correction parameters to a map-based parameter transformation. The stress index is determined by transforming the detected parameters (acceleration, temperature, pressure) through pre-calculated maps that embed all necessary correction relationships, reducing device complexity while preserving measurement precision through the transformed parameter relationships.
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
Enables efficient and accurate tire state detection, reducing manual effort and improving prediction of tire replacement timing, while allowing for flexible charging and usage patterns based on tire fatigue indices.
Implementation Method 1
a temperature sensor that detects a temperature in a tire air chamber
Implementation Method 2
an acceleration sensor that detects acceleration associated with rotation of a tire
Implementation Method 3
a pressure sensor that detects pressure in the tire air chamber
Data Source
AI summary
A tire state detection device that includes: a temperature sensor that detects a temperature in a tire air chamber; an acceleration sensor that detects acceleration associated with rotation of a tire; a pressure sensor that detects pressure in the tire air chamber; a storage unit that stores a plurality of maps for calculating a fatigue state of the tire on the basis of the detected temperature, the detected acceleration and the detected pressure; and a tire fatigue index calculation unit that calculates, by referring to each of the plurality of maps, a tire fatigue index from the detected acceleration, the detected temperature, and the detected pressure.