Train protection early warning system based on multi-technology fusion

Abstract

The invention discloses a train protection early warning system based on multi-technology fusion, and the system comprises a vehicle-mounted detection device, a trackside detection device, a switch machine communication device, a vehicle-mounted computing platform, a vehicle-mounted display device and an alarm buzzer. The vehicle-mounted detection device collects real-time scene data in front of a train in the advancing process and transmits the real-time scene data to the vehicle-mounted calculation platform. the trackside detection device collects real-time data in a fixed scene, detects whether foreign matters invade in the scene, and transmits the detection data to the vehicle-mounted computing platform; and the vehicle-mounted computing platform identifies whether an obstacle exists or not according to the real-time scene data and the real-time data in the fixed scene, calculates a risk level when the obstacle exists, and sends an obstacle image and the risk level to the vehicle-mounted display equipment for display. No-dead-angle detection judgment and distance measurement can be carried out on obstacles in front of a train during running, the range beyond the visual range is detected, and safety and reliability are achieved.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a multi-technology fusion train protection and early warning system. Background technique [0002] At present, rail train obstacle warning is of great significance and is developing rapidly. Laser radar, radio wave ranging, ultrasonic sensor and other technologies are mostly used to detect obstacles. There are following disadvantages: [0003] 1) The range of obstacle detection is limited. Due to the physical characteristics of the sensors involved, there is a certain detection dead angle. In the actual application process, there are potential safety hazards. [0004] 2) Cameras, lidars, and sensors cannot distinguish obstacles in front of them at tunnel bends, posing potential safety hazards. [0005] 3) The monocular camera cannot measure the distance of the obstacles in front, and there is a problem of poor reliability. [0006] 4) Multiple sensors are redundant, beca...

AI Technical Summary

Problems solved by technology

[0003] 1) The range of obstacle detection is limited, and the sensors involved have a certain detection dead angle due to their physical characteristics. In the actual application process, there are potential safety hazards

[0004] 2) Cameras, lidars, and sensors cannot distinguish obstacles in front of them at tunnel bends, posing potential safety hazards

[0005] 3) The monocular camera cannot measure the distance of the obstacles in front, and there is a problem of poor reliability

[0006] 4) Multiple sensors are redundant, because different sensors have different applicable detection ranges, which may easily cause false positives and false positives

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