DE-102025145607-A1 - Rail body defect detection system using deep learning

DE102025145607A1DE 102025145607 A1DE102025145607 A1DE 102025145607A1DE-102025145607-A1

Abstract

A rail body defect detection system according to one embodiment of the present disclosure can comprise a camera unit, a sensor unit, and a detection unit. The camera unit can comprise multiple cameras arranged in the lower part of a train to capture an image of the rail body. The sensor unit can comprise a position sensor that provides position information of the rail body. Based on the rail body image and the position information, the detection unit can determine whether the rail body is defective and provide a detection result. In the rail body defect detection system according to the present disclosure, the detection unit determines, on the basis of data obtained by mixing rail body images taken by a plurality of cameras contained in the camera unit and position information of the rail body depicted by the corresponding cameras, whether a defect exists in the rail body, thereby quickly and accurately identifying a location with a high risk of accident on the rail body.

Inventors

Eui Soon Hwang
Jamie Jangkook Choi

Assignees

STRANSPORT CO.Ltd

Dates

Publication Date: 20260513
Application Date: 20251106
Priority Date: 20241108

Claims (10)

Rail body defect detection system, comprising: a camera unit with multiple cameras arranged in the lower part of a train to capture a rail body image corresponding to an image of a rail body; a sensor unit with a position sensor that provides position information of the rail body; and a detection unit that, based on the rail body image and the position information, determines whether the rail body is defective and provides a detection result.
Rail body defect detection system, according to Claim 1 , wherein the camera unit comprises: a first camera unit with first rail body cameras that capture first rail body images of a top, a first side face and a second side face of a first rail body below the rail bodies; and a second camera unit with second rail body cameras that capture second rail body images of a top, a first side face and a second side face of a second rail body below the rail bodies.
Rail body defect detection system according to Claim 1 or 2 , wherein the sensor unit comprises: a first sensor unit providing position information of the first rail body, which is captured by the first rail body cameras encompassed by the first camera unit; and a second sensor unit providing position information of the second rail body, which is captured by the second rail body cameras encompassed by the second camera unit.
Rail body defect detection system according to one of the Claims 1 until 3 , which further includes a receiving unit that receives a sound signal transmitted from the track during the train's journey.
Rail body defect detection system according to one of the Claims 1 until 4 , which further includes an interval adjustment unit that adjusts a time interval during which the multiple track body cameras operate, based on the sound signal.
Rail body defect detection system according to Claim 4 or 5 , wherein the sound signal includes a sound signal with a specific frequency and an abrupt sound signal that have already been learned, and the time interval decreases with increasing strength of the sound signal.
Rail body defect detection system according to one of the Claims 1 until 6 , which further comprises: an image evaluation unit that provides an image evaluation determined on the basis of the rail body image provided by the camera unit; a sound evaluation unit that provides a sound evaluation determined on the basis of the strength of the sound signal; and a weighting unit that provides an image-weighted evaluation and a sound-weighted evaluation by applying weight values to the image evaluation and the sound evaluation.
Rail body defect detection system according to one of the Claims 1 until 7 , which further includes: a comparison unit that compares a sum of the image-weighted assessment and the sound-weighted assessment with a predetermined reference assessment and provides a comparison result; and a decision unit that determines, based on the comparison result, whether the train should be stopped.
Rail body defect detection system according to one of the Claims 1 until 8 , which further comprises: a first reset unit that resets the position information to a last saved position prior to the malfunction of the rail body defect detection system when the rail body defect detection system is restarted due to a malfunction of the rail body defect detection system; a second reset unit that sets the position information to an initial value when the rail body defect detection system receives a start signal; and a third reset unit that sets the position information to the initial value when the rail body defect detection system receives an audio signal corresponding to the start signal.
Rail body defect detection system according to one of the Claims 1 until 9 , the investigation unit further includes an artificial intelligence unit that learns the rail body image, position information and sound signal and provides a result as to whether the rail body has a defect.

Description

Reference to related registration(s) This application claims priority of Korean patent application no. 10-2024-0157927 , which was filed with the Korean Intellectual Property Office on November 8, 2024, and the disclosure of which is incorporated herein by reference in its entirety. background 1. Area The present disclosure relates to a system for the preventive detection of rail body defects. 2. Description of the state of the art Even if a sudden, dangerous situation arises during train operation, the train's weight and speed make sudden braking impossible. Due to the characteristics of a train's braking distance, the train's speed is controlled by railway signaling systems, thus limiting and safely managing sudden, dangerous situations. There is a growing need for safety measures that proactively detect and verify risks through deep learning by utilizing data on the condition of the track bed that can be collected by moving trains, and various studies are being conducted to reduce the risk of train accidents by implementing more effective response methods. [Relevant state-of-the-art documents] [Patent documents] Korean registration number. 10-2024-0126268 (published on August 20, 2024) overview One aspect of the present disclosure may provide a rail body defect detection system in which a detection unit determines whether a rail body is defective based on data obtained by combining rail body images taken by a plurality of cameras contained in a camera unit and position information of the rail bodies depicted by the relevant cameras, thereby enabling faster and more accurate identification of a high-risk location in a rail body. A rail body defect detection system according to one embodiment of the present disclosure may comprise a camera unit, a sensor unit, and a detection unit. The camera unit may comprise multiple cameras arranged in the lower part of a train to capture a rail body image corresponding to an image of the rail body. The sensor unit may comprise a position sensor that provides position information of the rail body. Based on the rail body image and the position information, the detection unit can determine whether the rail body is defective and provide a detection result. The camera unit can comprise a first camera unit and a second camera unit. The first camera unit can include first rail body cameras that capture first rail body images of a top, a first side, and a second side of a first rail body below the rail bodies. The second camera unit can comprise second rail body cameras that capture second rail body images of a top, a first side, and a second side of a second rail body below the rail bodies. The sensor unit can comprise a first sensor unit and a second sensor unit. The first sensor unit can provide position information of the first rail body, acquired by the first rail body cameras contained within the first camera unit. The second sensor unit can provide position information of the second rail body, acquired by the second rail body cameras contained within the second camera unit. The track defect detection system may also include a receiving unit. The receiving unit can receive an acoustic signal transmitted by the track while the train is in motion. The rail body defect detection system can also include an interval adjustment unit. The interval adjustment unit can adjust a time interval during which the majority of rail body cameras operate based on the acoustic signal. The sound signal can include a sound signal with a specific frequency and an abrupt sound signal, which have already been learned, and that The time interval may decrease if the strength of the sound signal increases. The rail body defect detection system can further include an image evaluation unit, an acoustic evaluation unit, and a weighting unit. The image evaluation unit can provide an image evaluation based on the rail body image provided by the camera unit. The acoustic evaluation unit can provide an acoustic evaluation based on the intensity of the acoustic signal. The weighting unit can provide image-weighted and acoustic-weighted evaluations by applying weighting values to the image and acoustic evaluations, respectively. The track defect detection system can further comprise a comparison unit and a decision unit. The comparison unit can compare the sum of the image-weighted assessment and the sound-weighted assessment with a predetermined reference assessment and provide a comparison result. Based on the comparison result, the decision unit can determine whether the train should be stopped. The track defect detection system may further comprise a first reset unit, a second reset unit, and a third reset unit. The first reset unit can reset the position information to a last saved position prior to the malfunction of the track defect detection system when the system is restarted due to a malfunction. The second reset unit can reset the position information to an initial value when the track defect de