Segmented Braking Deceleration Model for Train Route Optimization
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Solution Overview
Problem
Existing sectional braking deceleration models are not accurate enough and cannot effectively handle complex and changeable conditions of train routes due to simple input data and inadequate consideration of route conditions during braking performance calculations.
Innovation Solution
A method that acquires and processes comprehensive route data, including slope, adhesion, and braking data, to build a sectional braking deceleration model, generating a train control speed monitoring curve by combining these data types and simplifying route change conditions through data fusion and processing, thereby improving deceleration calculation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional sectional braking deceleration model is used with simple input data, then the model structure is simple and easy to implement, but the calculation accuracy of deceleration values is insufficient and cannot handle complex route conditions
Solution Approach 1:
The patent segments the braking process into multiple speed intervals, with each interval having its own deceleration characteristics. The braking curve is divided into sections based on speed thresholds, allowing different deceleration values to be applied at different speed ranges, thereby improving calculation accuracy while maintaining manageable complexity
Solution Approach 2:
The patent introduces dynamic adjustment of deceleration values based on real-time speed feedback. The system continuously monitors train speed and adjusts the deceleration coefficient dynamically within each speed interval, rather than using fixed deceleration values, which improves accuracy without requiring overly complex model structures
2Adaptability or versatility
If a sectional braking deceleration model with fixed deceleration values is used, then the model is simple to calculate, but it cannot adapt to complex and changeable conditions of train running routes
Solution Approach 1:
The patent pre-calculates and stores optimal deceleration coefficients for different speed intervals and route conditions before actual braking operations. This preliminary preparation allows the system to quickly retrieve and apply appropriate deceleration values during braking, improving both adaptability to different route conditions and calculation efficiency during actual operation
Solution Approach 2:
The patent changes the deceleration parameter dynamically based on speed interval and route conditions. By adjusting the deceleration coefficient within predefined ranges according to actual operating conditions, the model achieves better adaptability while maintaining calculation efficiency through structured parameter adjustment rather than complex real-time optimization
Data Source
Figure 1~2
AI summary
The present invention provides a method for optimizing a sectional braking deceleration model. The method includes: acquiring input data in a train running route, the input data including route data and braking data, the route data being route condition data acquired during running of a train; combining the route data and the braking data to build a sectional braking deceleration model; and generating a speed monitoring curve for train control on the basis of the sectional braking deceleration model. According to features of the Qinghai-Tibet railway, the sectional braking deceleration model is optimized on the basis of an on-board electronic map in the present invention, which enables to complete an initial train positioning in a railway section and improve running efficiency of the train.