Rail Wagon Load Index Estimation Using AI Image Comparison
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Solution Overview
Problem
Existing systems for determining the load index of railway vehicles, particularly those without pneumatic suspensions, face energy inefficiencies, noise, and inaccuracies due to the non-linear relationship between suspension pressure and vehicle mass, necessitating complex empirical calibrations and imprecise mass measurements.
Innovation Solution
A system utilizing image acquisition means, such as cameras and AI algorithms, to estimate the load index by comparing real-time images with predefined samples, enabling accurate mass determination without pneumatic suspensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pneumatic suspensions are used to measure vehicle mass through suspension pressure, then mass measurement capability is provided, but energy consumption increases and noise is generated
Solution Approach 1:
The patent replaces the pneumatic suspension system (which uses compressed air and consumes energy) with an image acquisition system using cameras and AI algorithms. The mechanical/optical imaging system captures images of the vehicle and its load, then processes these images to estimate the load index and vehicle mass without requiring pneumatic pressure measurement, thereby eliminating the energy consumption associated with pneumatic compressors.
Solution Approach 2:
The patent creates a visual copy (image) of the vehicle and its cargo, then uses AI algorithms to analyze this copy and infer the load characteristics. Instead of physically measuring suspension pressure, the system captures an optical copy of the scene and processes it computationally to determine mass information, replacing physical measurement with informational processing.
2Measurement precision
If pneumatic suspensions are used to measure vehicle mass, then mass determination is enabled, but noise and complexity are introduced
Solution Approach 1:
The patent substitutes the complex pneumatic suspension system (including compressors, pressure sensors, and control valves) with a simpler image acquisition and processing system. The camera-based system with AI algorithms provides mass determination capability without requiring the mechanical complexity of pneumatic components, reducing both noise and system complexity.
Solution Approach 2:
The system uses image copies to represent the physical vehicle state, replacing the need for complex physical sensing infrastructure. By capturing and analyzing visual information, the system simplifies the measurement approach while maintaining mass determination capability.
3Use of energy by moving object
If image acquisition means are used to estimate load index, then energy efficiency and cost-effectiveness are improved, but measurement accuracy may be compromised
Solution Approach 1:
The patent changes the measurement parameter from physical suspension pressure to visual image characteristics. By analyzing image parameters (such as the position, size, and distribution of visible load elements relative to the vehicle), the AI algorithms estimate the load index with sufficient accuracy for braking control applications, achieving a balance between energy efficiency and measurement precision.
Solution Approach 2:
The patent introduces AI algorithms as an intermediary between the raw image data and the load index estimation. These algorithms process the visual information, extract relevant features, and translate them into quantitative load estimates, bridging the gap between simple image capture and accurate mass determination.
Data Source
AI summary
A system for estimating a load index of a railway vehicle is described, comprising:an image acquisition means arranged to acquire a real-time image of a predetermined area inside a wagon of such a railway vehicle; anda control means arranged to determine the load index of the railway vehicle as a function of this image acquired by the image acquisition means.