Train Braking Safety Factor Model Using Dynamic Weight and Grade
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing train braking systems face challenges in accurately predicting stopping distances, particularly on light trains or uphill grades, leading to unreasonably large stopping distances and potential safety issues if the train stops beyond the target location.
Innovation Solution
A computer-implemented method and system for determining a safety factor in a braking model that takes into account train speed, track grade, and train weight, using a formula that minimizes the chance of the train stopping too short of the target location, and implements emergency braking when necessary to ensure safe stopping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a speed-based safety factor is used in the braking model, then the train stopping distance is extended to ensure safety, but the stopping distance becomes unreasonably large for light trains or uphill grades
Solution Approach 1:
The patent changes the parameters used to calculate the safety factor from speed-only to a multi-parameter model including train weight, track grade, and speed. This allows the safety factor to be dynamically adjusted based on actual operating conditions, reducing it for light trains and uphill grades while maintaining it for heavy trains and downhill grades, thus resolving the contradiction between safety and reasonable stopping distance
Solution Approach 2:
The patent implements a dynamic safety factor that adjusts in real-time based on current train conditions (weight, grade, speed) rather than using a static speed-based factor. This dynamic adjustment allows the system to optimize stopping distance for each specific operating scenario while maintaining safety margins, directly addressing the contradiction
2Device complexity
If a fixed safety factor is applied to all train conditions, then the braking model is simple to implement, but the stopping distance prediction becomes inaccurate for varying train weights and grades
Solution Approach 1:
The patent introduces multiple parameters (train weight, track grade, speed) into the safety factor calculation instead of using a fixed or speed-only factor. This multi-parameter approach significantly improves stopping distance prediction accuracy across varying train conditions while maintaining computational efficiency through straightforward formula-based calculations
Solution Approach 2:
The patent creates a universal braking model that handles diverse train conditions (different weights, grades, speeds) through a single integrated formula. This multi-functional approach eliminates the need for multiple separate calculations or lookup tables, maintaining simplicity while achieving high prediction accuracy across all operating scenarios
Data Source
AI summary
Disclosed are a computer-implemented method for determining safety factors or a safety factor formula for use in a braking model of at least one train, a computer-implemented method for determining a plurality of safety factors for use in a braking model of at least one train, and braking systems for use on trains.