Multi-Train Operation Trend Deduction Under Temporary Speed Limits
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Solution Overview
Problem
In high-speed rail networks, dispatchers face challenges in accurately decoupling multi-train tracking and adjusting stage plans under dynamic, multi-source on-way information, especially during regional temporary speed limits, leading to difficulties in recovering train operation order efficiently and safely.
Innovation Solution
A method and device for multi-train operation trend deduction that involves obtaining temporary speed limit, scheduling, and train status information, calculating coupling relationships, and establishing operation tracking models under different block systems to determine time-saving driving strategies, including acceleration, speed, and passing time, and sending operation trends to the driving scheduling platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the dispatcher manually estimates train operation situation and adjusts stage plan based on dynamic on-way information, then the flexibility in responding to emergencies is improved, but the accuracy and timeliness of operation trend deduction deteriorates due to the complexity of multi-train tracking and correlation analysis
Solution Approach 1:
The patent introduces an operation trend deduction device as an intermediary system between the dispatcher and the complex multi-train tracking data. This device automatically calculates and deduces operation trends by processing dynamic on-way information, thereby maintaining dispatcher flexibility while improving deduction accuracy through automated computational analysis of train positions, speeds, and interval times
Solution Approach 2:
The patent replaces the manual mechanical estimation process with an automated computational system. The operation trend deduction device uses algorithms to automatically track multiple trains, correlate space-time data, and generate operation trend information, substituting human cognitive processing with automated mechanical computation to improve both accuracy and timeliness
2Reliability
If the coupling calculation of regional temporary speed limit under emergencies is performed comprehensively, then the safety of train operation is improved, but the time required to generate stage plan increases, affecting the speed of operation order recovery
Solution Approach 1:
The patent implements preliminary action by pre-establishing the operation trend deduction framework and calculation models before emergencies occur. The system continuously monitors and deduces operation trends in real-time during normal operations, so when emergencies occur, the stage plan can be rapidly adjusted using pre-prepared calculation models and real-time trend data, reducing the time required for comprehensive safety calculations
Solution Approach 2:
The patent implements real-time feedback mechanisms where the operation trend deduction device continuously provides updated operation trend information to the scheduling system. This real-time feedback allows the system to dynamically adjust stage plans based on current train positions, speeds, and interval times, enabling rapid response to emergencies while maintaining comprehensive safety calculations through continuous iterative optimization
3Productivity
If real-time multi-train operation trend deduction is implemented, then the efficiency of operation adjustment is improved, but the complexity of the scheduling system increases
Solution Approach 1:
The patent applies segmentation by dividing the complex scheduling system into modular functional components: data acquisition modules for collecting dynamic on-way information, calculation modules for computing train positions and speeds, deduction modules for analyzing operation trends, and output modules for generating stage plan adjustments. This modular segmentation improves efficiency by allowing parallel processing while managing system complexity through clear functional separation and standardized interfaces
Data Source
AI summary
A method and device of multi-train operation trend deduction. Temporary speed limit information, scheduling information, line information and train status information are obtained; the coupling relationship between the trains traction calculation and the area of space-time scope which is under temporary speed limit are analyzed, and the time saving driving strategy of the first train within the time domain is calculated; according to the running position and speed of the front train, a multi-train operation tracking model under different block systems is established; according to the temporary speed limit information, the driving strategy of following tracking train is deduced, and the operation of the multi-train is calculated; the operation trend of multi-train to the driving scheduling platform is sent.