A method and system for automatic train benchmarking based on satellite differential positioning

Abstract

The invention discloses a method and system for automatic benchmarking of trains based on satellite differential positioning, which improves automation and intelligence, and can avoid operation risks caused by drivers misinputting departure parameters, and avoid the occurrence of benchmarking signals at continuous departure stations Set the error phenomenon to eliminate the distance error caused by manual marking. Its technical solution is: automatically confirm the precise coordinates of the locomotive to check whether the driver’s input of departure parameters is accurate, avoid the operation risk caused by the driver’s misinput of departure parameters, confirm the number of the signal machine in front, and avoid the occurrence of benchmarking signals when consecutive departure stations Machine setting error phenomenon, automatic marking after reaching the position of the marking signal machine, eliminating the distance error caused by manual marking.

Description

technical field [0001] The invention relates to a train benchmarking technology, in particular to an automatic train benchmarking method and system based on satellite differential positioning. Background technique [0002] The current train operation monitoring device LKJ basically adopts the method of manual driving and benchmarking. The train driver sets the departure parameters before the departure, including information such as the starting station, departure track and running route. Usually, the exit signal at the starting station is used as the driving benchmarking point. When the train runs to the position of the exiting signal, the driver manually enters the on-board data control mode (normal mode), and the manual driving benchmarking process is completed at this point. After entering the normal mode, LKJ can indicate information such as the speed limit, slope, and distance from the signal machine on the current line of the locomotive, so as to guide the driver to c...

AI Technical Summary

Problems solved by technology

[0004] 1. The departure parameters entered by the driver are not consistent with the actual departure lane, or the departure lane is correct, but the set benchmarking signal is inconsistent with the actual situation, so that the car control data will be completely wrong after driving the benchmark.

[0005] 2. In addition, the manual benchmarking process itself has human operation errors. It may also be due to factors such as low weather visibility that it is impossible to confirm the number and exact position of the benchmarking signal in front of it, resulting in early or delayed benchmarking, resulting in distance errors.

This method is generally used on CTCS-2 level lines, but the CTCS-0 section does not have the conditions for this method, and this method cannot automatically identify whether the departure parameters input by the driver match the actual departure position of the locomotive before departure, nor can it Confirm whether the signal in front is the benchmarking signal set in the departure parameters

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