Train Control System for Managing In-Train Forces
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Solution Overview
Problem
Existing railroad train operations face challenges in managing in-train forces to prevent damage to trains and railcars, as operators must manually control tractive and braking efforts to maintain acceptable coupler forces, which can be difficult due to varying terrain and railcar compositions, and current systems lack effective methods to predict and adjust for slack conditions in real-time.
Innovation Solution
A system and method that predict coupler forces and slack conditions along a track segment by analyzing planned and actual tractive and braking efforts, allowing for the creation or modification of trip plans to maintain designated force limits, including speed and power trajectories, using a computer-based approach that can be implemented in a data processing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control of tractive and braking efforts is used to maintain acceptable coupler forces, then train operation flexibility is preserved, but the difficulty of controlling in-train forces increases due to varying terrain and railcar compositions
Solution Approach 1:
The system performs preliminary calculations of slack conditions and predicted coupler forces before the train actually traverses the track segment. By pre-determining the slack condition at multiple locations along the track and predicting the coupler forces that will occur, the system enables the operator to plan and execute appropriate tractive and braking applications in advance, reducing the difficulty of controlling in-train forces during actual operation.
Solution Approach 2:
The system provides feedback to the operator by displaying the determined slack condition, predicted coupler forces, and recommended tractive and braking applications. This feedback loop allows the operator to adjust their control actions based on real-time information about the train's mechanical state and the predicted effects of their actions, thereby improving ease of controlling in-train forces despite varying terrain and railcar compositions.
2Reliability
If automatic train control systems are used to determine timing and magnitude of braking applications, then consistency of train control is improved, but the system complexity increases
Solution Approach 1:
The automatic train control system performs self-service by independently calculating slack conditions, predicting coupler forces, and determining optimal braking applications without requiring constant operator intervention. The system uses the train's own operational data (speed, location, applied forces) and track information to automatically generate control recommendations, improving consistency while managing complexity through automation rather than requiring complex manual procedures.
Solution Approach 2:
The patent replaces complex mechanical judgment and manual calculation with electronic computation and automated control algorithms. By substituting the mechanical process of operator experience-based control with electronic systems that automatically calculate slack conditions and predict coupler forces, the system achieves more consistent train control while the complexity is managed through software-based solutions rather than mechanical complexity.
3Reliability
If real-time determination of slack condition is implemented, then train damage prevention is improved, but the computational requirements and system complexity increase
Solution Approach 1:
The system performs preliminary computation of slack conditions and predicted coupler forces before the train reaches the critical track segment. By pre-calculating the slack condition at multiple locations along the track and determining the predicted coupler forces in advance, the system reduces the computational burden during real-time operation while still providing timely information for damage prevention.
Solution Approach 2:
The system computes slack conditions and predicted coupler forces at multiple discrete locations along the track rather than continuously throughout the entire track segment. This partial action approach provides sufficient information for damage prevention while reducing computational complexity. The system calculates values at specific points of interest where slack conditions are most likely to change or become critical.
Data Source
AI summary
An apparatus includes a first element for identifying planned applications of tractive effort and braking effort for a railway vehicle while traversing a track segment. The apparatus includes a second element for determining a slack condition of the railway vehicle at one or more locations on the track segment in advance of the railway vehicle traversing the track segment based on the planned applications of tractive effort and braking effort. The apparatus includes a third element for redetermining the slack condition at the one or more locations based on at least one deviation from the planned applications of tractive effort and braking effort.