Unmanned Rail Vehicle Position Sensing With Error Compensation

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Solution Overview

Problem

Existing systems for measuring and controlling the position of unmanned rail vehicles in harsh outdoor environments are costly, bulky, complex, and prone to detection errors, leading to undesirable positioning inaccuracies.

Innovation Solution

The use of a combination of marker-detecting and progression-detecting position sensor systems, along with a position determining unit, to accurately measure and control the position of an unmanned rail vehicle by interacting with preassigned reference markers and detecting progression, while compensating for individual sensor errors and ensuring reliable positioning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If rugged and reliable position sensor systems are used in harsh outdoor environments, then reliability is improved, but device complexity and cost increase

Engineering Contradiction:
Improveposition measurement reliabilityVSAvoidsensor system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The position sensor system is divided into multiple independent sensor units (first position sensor, second position sensor, etc.), each capable of independently measuring position. This segmentation allows the system to maintain reliability through redundancy while keeping individual sensor units simple and manageable in complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Multiple position sensor systems are combined and their position measurements are integrated by the position determining unit. This merging approach enhances reliability through cross-validation and error compensation while distributing the complexity across multiple simpler components rather than requiring one complex sensor

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If multiple position sensor systems are used to compensate for detection errors, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveposition measurement precisionVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Different position sensors are positioned at different locations on the rail vehicle (e.g., different longitudinal positions, different heights). Each sensor measures position from its specific local perspective, and the position determining unit integrates these local measurements to achieve accurate overall position determination, compensating for local errors through spatial diversity

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The position determining unit receives position measurements from multiple sensors and uses feedback mechanisms to identify and compensate for detection errors. By comparing measurements from different sensors and using the discrepancies to correct individual sensor readings, the system improves measurement precision while managing complexity through intelligent processing

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12365374B2Unmanned rail vehicle and method of determining its position
Publication Date: 2025.07.22 ABB (SCHWEIZ) AG
  • US12365374B2 patent drawing
  • US12365374B2 patent drawing
  • US12365374B2 patent drawing

AI summary

An unmanned rail vehicle for surveillance, inspection and/or maintenance of an infrastructure, the infrastructure including a rail structure with a rail, the unmanned rail vehicle being movable along the rail and the unmanned rail vehicle including a first position sensor system configured for measuring, by interaction with the rail structure, first position data indicative of a position of the unmanned rail vehicle along the rail, a second position sensor system configured for measuring, by interaction with the rail structure, second position data indicative of a position of the unmanned rail vehicle along the rail, a position determining unit configured for receiving and combining first and second position data to determine the position of the unmanned rail vehicle along the rail.