Axle Counter Train Classification Using Axle Spacing Patterns
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Solution Overview
Problem
Existing train control systems struggle to reliably identify train types such as passenger or freight trains without additional sensors, which is crucial for safe and efficient train operation, especially in mixed traffic scenarios.
Innovation Solution
A method and device that utilize axle counters to determine axle spacings and apply pattern recognition to identify train types by comparing axle spacing patterns, with computer-aided analysis to assign trains as passenger or freight based on similarity and strict criteria, ensuring high safety standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional train control systems are used, then track occupancy detection is achieved, but train type recognition (passenger vs. freight) is not reliably provided
Solution Approach 1:
The axle counter system performs self-service by automatically determining train type characteristics from the axle spacing data it already collects during normal track occupancy detection. The computer analyzes the recorded axle spacings to identify patterns that indicate whether a passenger or freight train is present, eliminating the need for separate recognition systems while providing reliable train type information for operational decisions.
2Reliability
If operational control systems that recognize train type are used, then train type information is available, but the safety level is insufficient for safe operational decisions
Solution Approach 1:
The system segments train identification into distinct characteristic categories (axle spacing patterns, number of axles, train length) that can be independently analyzed. By breaking down the train type determination into these measurable segments from axle counter data, the system achieves both comprehensive train characteristics information and the high safety level required for operational decisions.
3Reliability
If a combination of technical and operational procedures is used to determine train type with required safety level, then safe train operation is achieved, but considerable effort and time are required
Solution Approach 1:
The system performs preliminary action by continuously monitoring and storing axle spacing data during normal train passage, building up a database of axle characteristics before operational decisions are needed. This preliminary data collection and analysis enables rapid train type determination when required, eliminating the need for time-consuming manual procedures while maintaining the required safety level.
Data Source
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AI summary
The invention relates to a method for identifying the characteristics of a rail vehicle (FZ), in which an axle counter (AZ1 ... AZ2) records measurement data during the passage of the rail vehicle (FZ). The measurement data is analyzed by a computer to determine the axle spacing of the rail vehicle (FZ). Based on the determined axle spacing, a first characteristic is determined by the computer, namely whether the rail vehicle (FZ) is a passenger train or a freight train. In a first test step, the determination of this first characteristic is checked to see if identical or similar patterns can be found in at least a predominant part of the sequence of axle spacings. If no pattern can be found, the rail vehicle (FZ) is assigned the characteristic of a freight train as its first attribute.Once a pattern has been identified, the railway vehicle (FZ) is assigned the characteristic of a passenger train as its first property, and/or a further test step is carried out to validate or extend the test result. This process can be supported by machine learning. Furthermore, the invention comprises a device for determining the properties of railway vehicles (FZ), a computer program, and a delivery device.