Rail Vehicle Location Estimation Quality Assessment
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Solution Overview
Problem
Existing systems for determining the location of rail vehicles along a route rely solely on GPS or other positioning systems, which can be prone to errors due to satellite communication failures or memory inaccuracies, leading to unreliable distance estimations.
Innovation Solution
A system that combines speed and position sensors with a controller to provide both speed-based and position-based distance estimations, along with a quality value assessment, to ensure accurate location determination and reliability, using multiple sensors and a Kalman filter for data integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or other positioning systems are used to determine train location, then location information can be obtained, but measurement errors occur due to satellite communication failures or memory inaccuracies
Solution Approach 1:
The patent combines multiple independent distance measurement systems (GPS positioning system, odometry system based on wheel rotation, and inertial measurement unit) to determine train location. By merging these systems, the patent achieves both high measurement precision and reliability, as the failure or error in one system can be compensated by the others through sensor fusion algorithms.
Solution Approach 2:
The patent implements a feedback mechanism where the controller continuously monitors and compares distance measurements from multiple sources, evaluates their quality using confidence values, and adjusts the weighting of each measurement source based on its current reliability. This feedback loop ensures that the most accurate and reliable measurements are used for location determination.
2Reliability
If multiple independent distance measurements are used to ensure reliable distance estimation, then location reliability improves, but device complexity increases
Solution Approach 1:
The patent designs a multi-functional controller that performs both train control functions and multiple independent distance measurement functions. The controller integrates GPS reception, odometry calculation from wheel sensors, and inertial data processing within a single device, reducing overall system complexity while maintaining multiple measurement capabilities.
Solution Approach 2:
The patent introduces a data fusion algorithm as an intermediary that processes and integrates measurements from multiple independent sources. This intermediary layer simplifies the complexity by providing a unified interface for location determination, automatically reconciling data from GPS, odometry, and inertial sensors through weighted averaging based on confidence values.
Data Source
AI summary
A system is provided for determining a quality of a location estimation of a powered system at a location. The system includes a first sensor configured to measure a first parameter of the powered system at the location. The system further includes a second sensor configured to measure a second parameter of the powered system at the location. The system further includes a second controller configured to determine the location estimation of the powered system and the quality of the location estimation, based upon a first location of the powered system based on the first parameter, and a second location of the powered system based on the second parameter of the powered system. A method is also provided for determining a quality of a location estimation of a powered system at a location.