A method and system for identifying obstacles on track

Abstract

The invention discloses a method for identifying an obstacle on a track. The method comprises the following steps: obtaining the vibration signal of a train; and qualitatively identifying impact according to the vibration signal to determine whether the obstacle exists on the track or not. The obstacle is identified in a contact manner, so the identification method is simple, the identification isnot affected by the size and the color of the obstacle, and is also not affected by illumination and the bent and straight lines of the track, thereby the method has the advantages of low detection requirements, wide application range and accurate identification result. The invention also discloses a system for identifying the obstacle on the track. The system has the same advantages with the method.

Description

Technical field [0001] The present invention relates to the technical field of rail transit, in particular to a method and system for identifying obstacles on a rail. Background technique [0002] Rail is the direct carrier for rail transit to move, and obstacles in the rail section have a greater impact on driving safety. Therefore, the front of the train is generally provided with a stone sweeper for removing obstacles on the track and an obstacle remover for removing obstacles in the middle of the track. However, the removal functions of the stone sweeper and the obstacle remover are usually relatively simple. Most obstacles can be removed. For obstacles that cannot be directly removed, the driver needs to be reminded in advance to take corresponding measures to avoid train derailment accidents. [0003] In order to improve the safety of train operation, there are already some obstacle detection methods in the prior art. These detection methods are mainly based on non-contact d...

AI Technical Summary

Problems solved by technology

The premise that these non-contact obstacle detection technologies can distinguish the existence of obstacles is that these obstacles are larger in size and brighter in color and are located in a straight line with a larger visual range. Obstacles that are close to the environment or where the visual range is small at night, especially where derailment accidents are likely to occur, cannot be monitored. It can be seen that the detection method of obstacles in the prior art has strict requirements and a small scope of application. Thereby reducing the safety of the train

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