Axle Load Measurement Using Road Displacement and Correction Data
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Solution Overview
Problem
Existing axle-load measuring technologies face challenges in accurately measuring axle loads of vehicles from captured images, as they fail to account for various factors influencing road surface displacement, such as tire state, atmospheric temperature, and vehicle speed, leading to inaccuracies in measurement.
Innovation Solution
An axle-load measuring apparatus and method that utilize a displacement calculator, correction information obtaining unit, and axle-load calculator to detect road surface displacement and calculate axle load from captured images, considering factors like tire state, temperature, and vehicle speed through spatial information, state determination, and speed measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If road surface displacement is measured using captured images to calculate axle load, then measurement can be performed non-contact and efficiently, but measurement precision deteriorates due to failure to account for influencing factors such as tire state, atmospheric temperature, and vehicle speed
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the displacement-to-load conversion based on multiple influencing parameters including tire state (inflated/deflated), atmospheric temperature, and vehicle speed. The system selects different conversion parameters from a database according to the detected conditions, thereby maintaining high measurement precision while using efficient image-based displacement measurement.
Solution Approach 2:
The patent introduces correction information as an intermediary element that mediates between the simple displacement measurement and the accurate axle load calculation. This correction information, derived from image data and environmental sensors, acts as a bridge that accounts for various influencing factors and enables precise load determination without direct contact with the vehicle.
2Device complexity
If simple displacement measurement from images is used, then device complexity is reduced, but measurement precision deteriorates due to lack of correction for environmental and vehicle state factors
Solution Approach 1:
The patent implements multi-functionality by using a single imaging device to perform multiple functions: capturing road surface displacement, detecting tire state (inflated/deflated), and gathering spatial information. This universal approach maintains device simplicity while obtaining multiple parameters needed for precise axle load measurement through intelligent image analysis.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with an optical/image-based system. Instead of using physical sensors that directly contact the road or vehicle, the system uses captured images to measure displacement and detect vehicle state, thereby reducing mechanical complexity while maintaining or improving measurement precision through digital processing and correction algorithms.
Data Source
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AI summary
Axle-load measuring apparatus (200) measures an axle load of a vehicle by using a captured image where a road and the vehicle on the road are imaged, and axle-load measuring apparatus (200) includes displacement calculator (250), correction information obtaining unit (260), and axle-load calculator (270). Displacement calculator (250) detects a displacement of the road by using the captured image. The displacement is caused by receiving the axle load. Correction information obtaining unit (260) obtains correction information. Axle-load calculator (270) calculates the axle load by using the displacement and the correction information.