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Wheel tread defect three-dimensional detection method and system

A technology for wheel tread and three-dimensional detection, applied in image data processing, instrumentation, calculation, etc., can solve problems such as low reliability of detection results

Pending Publication Date: 2021-04-13
CHENGDU TIEAN SCI & TECH
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Problems solved by technology

[0005] In view of this, the present invention provides a three-dimensional detection method for wheel tread defects and its system, which solves the problem of low reliability of detection results in the existing three-dimensional detection methods for wheel tread defects by improving image acquisition and processing methods

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  • Wheel tread defect three-dimensional detection method and system
  • Wheel tread defect three-dimensional detection method and system

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Embodiment Construction

[0022] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] like figure 1 As shown, a three-dimensional detection method for wheel tread defects, including:

[0024] S1: if Figure 4 As shown, the wheel raster image data of the train wheel is collected.

[0025] S2: Extract the real wheel deformation data corresponding to the wheel raster image data.

[0026] Further, the S2 includes: obtaining a data set composed of multiple raster photos of train wheels, collecting the real deformation of the train wheels corresponding to each of the raster photos, and analyzing the grating deformation area of ​​each of the raster photos Marking, constructing the mapping relationship between the grating deformation region of each grating photo and the real deformation of the train whee...

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Abstract

The invention discloses a wheel tread defect three-dimensional detection method and a wheel tread defect three-dimensional detection system. The method comprises the following steps: S1, collecting wheel grating image data of a train wheel; S2, extracting real wheel deformation data corresponding to the wheel grating image data; S3, generating a wheel three-dimensional point cloud image based on the wheel real deformation data and the camera shooting unit parameters; and S4, generating a wheel size and a defect area based on the wheel three-dimensional point cloud image. According to the invention, the grating deformation area is extracted through the pre-trained network model and the wheel real deformation data is generated based on the direct mapping relationship between the deformation grating and the real deformation, so that the reconstruction of the wheel three-dimensional point cloud image is completed. And the influence on the accuracy of reconstructing the three-dimensional point cloud image of the wheel when stains exist on the surface of the wheel tread to influence the stripe effect is avoided. The wheel size and the defect area are accurately extracted based on the wheel three-dimensional point cloud image, and the problem that an existing wheel tread defect three-dimensional detection method is low in detection result reliability is solved.

Description

technical field [0001] The invention relates to the technical field of rail vehicle detection, in particular to a three-dimensional detection method and system for wheel tread defects. Background technique [0002] The train wheel is a key part related to the safety of train operation. It transmits the load of the vehicle to the rail and rotates on the rail to complete the operation of the train. It is the final stressed part of the train operation. The wheel set tread is the part where the train wheel contacts the top surface of the rail. The integrity of the wheel set tread is an important factor for driving safety. During the operation, the wheel tread will experience excessive wear, tread scratches, peeling, bruises, etc. Quality problems such as rim surface defects may directly lead to derailment accidents and affect the safety of EMU operations. In view of this, it is necessary to carry out daily dynamic detection on the tread of train wheels to ensure the safety of t...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0002G06T7/11G06T2207/10028
Inventor 张渝赵波彭建平黄炜马莉胡继东王小伟章祥王楠牟科瀚
Owner CHENGDU TIEAN SCI & TECH
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