Rail traffic tunnel obstacle detection system and method based on transponder information transmission

Abstract

The invention discloses a rail traffic tunnel obstacle detection system and a rail traffic tunnel obstacle detection method based on transponder information transmission. The system performs video image processing according to data acquired by an image acquisition module and a distance-measuring module to complete first-time detection on the obstacle. The first-time detection result is transmittedin a long distance by the transponder and fused with the detection result of a vehicle-mounted detection device, so that second-time detection on the obstacle is completed. The influence degree on train operation by the obstacle is finally judged according to the second-time detection result, so that train early warning, reduced-speed operation or stopping is controlled and the aim of performingmonitoring and emergency processing on the train operation environment is finally fulfilled. The system and the method have the advantages of low hardware cost, high development efficiency and high detection precision.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic detection, in particular to a rail transit tunnel obstacle detection system based on transponder information transmission. Background technique [0002] As an algorithm to ensure the safety of train operation, obstacle detection has achieved good results both in theory and in practice, but it still faces the following problems in the detection accuracy and analysis of detection objects: 1) Common detection algorithms can distinguish static obstacles Objects and dynamic obstacles, the detection process is cumbersome, and the detection algorithm is complex and changeable. When the detection object is a dynamic obstacle, the trajectory of the obstacle is usually obtained, and it is difficult to obtain the morphological characteristics of the obstacle; 2) when the vehicle-mounted detection device is used When detecting obstacles, the detectable range and distance are limited, and it is gre...

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Problems solved by technology

[0002] As an algorithm to ensure the safety of train operation, obstacle detection has achieved good results both in theory and in practice, but it still faces the following problems in the detection accuracy and analysis of detection objects: 1) Common detection algorithms can distinguish static obstacles Objects and dynamic obstacles, the detection process is cumbersome, and the detection algorithm is complex and changeable. When the detection object is a dynamic obstacle, the trajectory of the obstacle is usually obtained, and it is difficult to obtain the morphological characteristics of the obstacle; 2) when the vehicle-mounted detection device is used When detecting obstacles, the detectable range and distance are limited, and it is greatly affected by external interference. When only devices fixed on both sides of the line are used for detection, the flexibility is not high, and communication is easily interrupted; 3) Video image processing can only get the information of obstacles Two-dimensional information cannot obtain the height information of obstacles, so the impact of obstacles on train operation may be misjudged; 4) The common emergency treatment method for rail transit is to control the train to slow down or stop when the driver sees the obstacles ahead. method may lead to untimely emergency response, resulting in serious traffic accidents

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