Train anomaly recognition detection method and system

A detection method and train technology, applied in image data processing, instruments, calculations, etc., can solve the problems of rail transit safety hazards, short stop time, and complexity, so as to improve safety monitoring capabilities, reduce system false alarm rates, Effects that are easy to find quickly

Active Publication Date: 2014-12-10
SUZHOU NEW VISION SCI & TECH
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Problems solved by technology

[0002] The traditional abnormality detection of the whole train parts is usually manually detected. This method needs to be detected when the train enters the station or enters the warehouse. Because the train (including freight cars, passenger cars, EMUs and other types of rail trains) stops for a long time In addition, there are many parts and complex structures on the train, it is difficult for maintenance personnel to pay attention to the normal status of each part in a short period of time
In particular, there are occlusions between the parts at the bottom and top of the train and there are visual blind spots, which not only further increases the probability of missed detec

Method used

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  • Train anomaly recognition detection method and system

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specific Embodiment 1

[0041] Step 1, collect the depth information of the train to be detected: real-time detection of the speed of the passing train, the control system adjusts the image acquisition pulse form according to the real-time speed, the embedded timing generation circuit in the modular binocular acquisition subsystem analyzes the acquisition pulse, and Timing synchronization is performed on the acquisition timing of each camera in the module to ensure that the 3D data conforms to the image fusion specification in time and space. The method for collecting the depth information of the entire vehicle of the train to be detected may be the pulse ranging method or the laser triangulation method, but it is not limited to the above method.

[0042] Step 2. Establish vehicle model and vehicle number index: obtain the vehicle model and vehicle number of each vehicle through the AEI vehicle number recognition system, and use it to match the reference train to obtain the full vehicle depth informat...

specific Embodiment 2

[0059] Step 1. Arrange the camera array in the way of the middle linear array and the two side arrays in the forward direction of the train, and collect the 3D image information of the whole vehicle and the information of the middle line array and the two side arrays in real time through the camera array, and use the time-sharing exposure technology when collecting The trigger frequency of the laser line is controlled to obtain several three-dimensional image information collected from multiple angles, and the depth information of the train to be detected is extracted from the above three-dimensional image information.

[0060] Wherein, the method for collecting the depth information of the train to be detected may be, but not limited to, at least one of the pulse ranging method, the binocular ranging method and the laser triangulation method.

[0061] Step 2: Establish a car model number index, match the car model number information of the train to be detected to obtain a refe...

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Abstract

The invention discloses a train anomaly recognition detection method and system and belongs to the technical field of automatic image recognition. The recognition method includes the steps of collecting whole train depth information of a train to be detected and a reference train, matching a train model and a train number with the whole train depth information of the train to be detected and the reference train for recognizing faulty components, and matching depth information of the faulty components with that of reference parts for determining faulty parts. The recognition system comprises a collection module for collecting the whole train depth information of the train to be detected, a reference train information acquisition module and a faulty part detection module. A method of collecting three-dimensional image information of a running train with the depth information overcomes the visual function limitation of traditional two-dimensional image information so as to facilitate quick find of actual faulty points of a detection worker, reduce the false positive rate of the system and improve the maintenance efficiency of the detection worker.

Description

technical field [0001] The invention discloses a detection method and system for identifying train anomalies, belonging to the technical field of automatic image recognition. Background technique [0002] The traditional abnormality detection of the whole train parts is usually manually detected. This method needs to be detected when the train enters the station or enters the warehouse. Since the train (including freight cars, passenger cars, EMUs and other types of rail trains) stops for a long time Coupled with the fact that there are many parts and complex structures on the train, it is difficult for maintenance personnel to pay attention to the normal status of each part in a short period of time. In particular, there are occlusions between the parts at the bottom and top of the train and there are visual blind spots, which not only further increases the probability of missed detection of abnormal train parts, but also further reduces the efficiency and accuracy of abnor...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 袁宁宋野许皓李骏
Owner SUZHOU NEW VISION SCI & TECH
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