Obstacle detection system and method for rail transit tunnel based on transponder information transmission

Abstract

The invention discloses a rail transit tunnel obstacle detection system and method based on transponder information transmission. The system performs video image processing on the basis of data acquired by an image acquisition module and a distance measurement module to complete one-time detection of obstacles. And it can transmit the primary detection result through the transponder over a long distance, and integrate the detection results of the on-board detection device to complete the secondary detection of obstacles. According to the results of the secondary detection, the impact degree of obstacles on the train operation is finally judged, so as to control the train early warning, deceleration or parking, and finally realize the purpose of monitoring the train operating environment and emergency treatment. The invention has 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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