3D information-based automatic fault identification and detection system and detection method

Abstract

The invention relates to a 3D information based fault automatic identification and detection system and a detection method. Along with continuously increasing in railway transport of passengers and railway freight transport volume, railway vehicles and locomotives act as a core part of railway transport, components and the like of a vehicle body, and the traffic safety is seriously affected if a fault or abnormity occurs in components and the like of a vehicle body, so that safety detection for the railway vehicles and the locomotives becomes more important. The 3D information based fault automatic identification and detection system is composed of a 3D information acquisition unit (1), wherein the 3D information acquisition unit is connected with a vehicle type and vehicle number identification unit (2), the vehicle type and vehicle number identification unit is connected with a 3D information retrieval unit (3), the 3D information retrieval unit is connected with a 3D information registration unit (4), the 3D information registration unit is connected with a 3D information fault automatic identification unit (5), the 3D information fault automatic identification unit is connected with an alarm unit (6), and the alarm unit is connected with a database input unit (7). The 3D information based fault automatic identification and detection system and the detection method are applied to traffic transportation.

Description

Technical field: [0001] The invention relates to an automatic fault identification and detection system and detection method based on 3D information, which can automatically identify and detect faults of various railway vehicles and locomotives such as bullet trains, passenger cars, freight cars, and locomotives. Background technique: [0002] With the continuous increase of railway passenger and freight volumes, 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 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...

AI Technical Summary

Problems solved by technology

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 also 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 for automatic fault identification, which is easy Affected by external environmental factors such as light, dust, stains, rain and snow, resulting in a large number of missed and false positives, increasing the workload and difficulty of manual confirmation, and affecting the efficiency of vehicle inspection

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