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Automatic fault recognition and detection system and method based on 3D information

An automatic identification and detection system technology, applied in three-dimensional object recognition, character and pattern recognition, instruments, etc., can solve problems such as technical bias, and achieve the effect of reducing the number of false alarms, improving work efficiency, and reducing detection accuracy

Active Publication Date: 2016-01-13
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This is also a common detection method in the field, but it is essentially a technical bias

Method used

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  • Automatic fault recognition and detection system and method based on 3D information
  • Automatic fault recognition and detection system and method based on 3D information
  • Automatic fault recognition and detection system and method based on 3D information

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specific Embodiment approach 1

[0040] Specific implementation mode one: refer to figure 1 and figure 2 Description This embodiment is specifically described, the automatic fault identification and detection system based on 3D information, which includes: a 3D information acquisition module, a vehicle model and vehicle number identification module, a retrieval module, an information registration module and an automatic fault identification module;

[0041] 3D information acquisition module: used to acquire 3D images from various angles of railway vehicles or locomotives, the 3D images include three-dimensional spatial information and grayscale information;

[0042] Model and car number recognition module: used to identify the car model and car number of railway vehicles or locomotives by using 3D or 2D image information;

[0043] Retrieval module: used to use 3D or 2D image information or only use the vehicle number to retrieve various templates and historical data information corresponding to the current ...

specific Embodiment approach 2

[0054] Embodiment 2. This embodiment is a further limitation of the 3D information-based automatic fault identification and detection system described in Embodiment 1, which also includes an alarm module and a warehousing module;

[0055] Alarm module: used to display the alarm information to the user in the form of two-dimensional or three-dimensional graphics, and display different levels of faults and abnormalities with different colors, different shades, and different shapes of signs in the graphic display;

[0056]Storage module: used to store the information of the 3D image of the current passing vehicle and the corresponding faults and abnormalities into the database, and can dynamically track the fault information in the database.

specific Embodiment approach 3

[0057] Embodiment 3. This embodiment is a further limitation of the 3D information-based automatic fault identification and detection system described in Embodiment 1. The information registration module includes a No. 1 call sub-module and an information registration sub-module;

[0058] The No. 1 calling submodule is used to call two types of 2D images converted in the automatic fault identification module;

[0059] The information registration sub-module performs information registration in one of the following three ways:

[0060] 1) Use the 3D image information to register various templates and historical data information corresponding to the current vehicle passing;

[0061] 2), using the information of the first type of 2D image to register various templates and historical data information corresponding to the current vehicle passing;

[0062] 3) Using the information of the second type of 2D image to register various templates and historical data information correspon...

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Abstract

The invention relates to the field of automatic fault recognition and detection of railway vehicles and haulage motors, in particular to an automatic fault recognition and detection system and method based on 3D information. The problems that the prior art has certain limitation and is poor in systematicness and comprehensiveness are solved. In the process of automatic fault recognition with the 3D information, the dimensionality reduction mode is adopted, and dimensionality reduction is carried out on 3D images to obtain 2D images to be processed; in the fault recognition flow path, the mode of coexistence and complement of multiple detection sequences is adopted to achieve fault judgment. The automatic fault recognition and detection system and method are suitable for automatic fault recognition of railway vehicles and haulage motors.

Description

technical field [0001] The invention relates to the field of automatic fault identification and detection of railway vehicles and locomotives. Background technique [0002] With the continuous increase of railway passenger and freight volume, railway vehicles and locomotives are the core parts of railway transportation, and failure or abnormality of car body parts will seriously affect driving safety. Therefore, the safety detection of railway vehicles and locomotives has become more and more important. important. The traditional manual inspection of vehicles has problems such as untimely inspection, heavy workload, easy missed inspection, and many blind spots, which pose great safety hazards. [0003] At present, there are some systems and methods for automatic fault identification and detection, but most of them use 2D images taken by line array cameras and area array cameras, which are easily affected by external environmental factors such as light, dust, rain and snow, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/647G06V20/64
Inventor 朱金良
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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