Method and system for identifying obstacle 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 invention relates to the technical field of rail transit, in particular to a method and system for identifying obstacles on rails. Background technique [0002] The track is the direct carrier for the rail transit to move, and the obstacles in the track section have a great impact on driving safety. Therefore, the locomotive of train is generally provided with the stone sweeper that is used to remove the obstacle on the track and the obstacle remover that is used to remove the obstacle in the middle of the track. However, the removal function of the stone sweeper and the obstacle remover is usually relatively simple. For most obstacles, the purpose of removal can be achieved. For the obstacles that cannot be removed directly, the driver needs to be reminded to take corresponding measures in advance to avoid the occurrence of train derailment accidents. [0003] In order to improve the safety of train running, there are already some obstacle detect...

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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