Overload Detection via Tire Deformation Imaging and Sensor Fusion
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Solution Overview
Problem
Conventional overload detection systems for freight vehicles face inaccuracies due to reliance on tire deformation measurements alone, which are influenced by environmental and situational factors, leading to potential erroneous overload determinations.
Innovation Solution
An overload detection processing apparatus that acquires a determination value from image data of vehicle tires and combines it with data on environmental and situational conditions, such as temperature and traveling situations, to accurately determine if the vehicle's loading weight exceeds a predetermined reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If tire deformation is measured using image data alone, then the measurement process is simple and quick, but the measurement precision deteriorates due to environmental and situational factors
Solution Approach 1:
The patent combines multiple detection approaches by merging tire deformation measurement from image data with additional situational data (vehicle speed, acceleration, road gradient, tire pressure) to create a comprehensive overload detection system that compensates for environmental factors affecting single-method measurements
Solution Approach 2:
The patent introduces an intermediary processing system that collects and integrates data from multiple sources including cameras, sensors, and environmental monitors, then uses machine learning models to synthesize this information into accurate overload determinations, mediating between raw data and final detection results
2Measurement precision
If weight measuring instruments are embedded in the road, then weight measurement is direct and accurate, but the road must be blocked during maintenance and traffic flow is interrupted
Solution Approach 1:
The patent replaces mechanical weight measurement systems (embedded scales requiring road closure) with an optical and sensor-based imaging system that measures tire deformation non-contactly, allowing continuous traffic flow while maintaining detection capability
Solution Approach 2:
The patent creates a virtual model of the weight measurement process by capturing images of tires and analyzing deformation patterns, replacing the need for physical contact with road-embedded instruments while achieving comparable measurement objectives
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 approach allows for more accurate overload detection by accounting for various factors influencing tire deformation, reducing errors and improving the reliability of determining overloaded vehicles.
Implementation Method 1
image data obtained by photographing the tire of the vehicle
Implementation Method 2
acquiring a determination value related to magnitude of deformation of a tire from image data obtained by photographing the tire
Data Source
AI summary
An overload detection processing apparatus, an overload detection system and a computer-readable recording medium storing a program capable of determining overload more accurately are provided. An overload detection processing apparatus for determining a vehicle whose loading weight exceeds a predetermined reference is provided with a processor. The processor acquires a determination value relating to magnitude of deformation of a tire from image data obtained by photographing the tire of the vehicle and determines whether or not the loading weight of the vehicle exceeds a predetermined reference based on data corresponding to the determination value and a situation relating to the tire.