Rail vehicle compartment state non-contact detection device and method

Abstract

The invention discloses a rail vehicle compartment state non-contact detection device and method. The device comprises three groups of data acquisition units, each of which is formed by a laser scanner and a high-definition camera, and a control unit for carrying out image identification processing on data collected by the data acquisition units. The data acquisition units collect relevant data of rail vehicles and send the data to the control unit; and the control unit is used for carrying out training with compartment surface contour and image data being as samples through an image recognition algorithm based on a deep belief network model, and carrying out fast and accurate detection on each compartment under a non-contact condition. The device and method can judge vehicle arrival, measure vehicle speed, identify compartment types, reduce a three-dimensional image of each compartment, judge overlimit and load information of each compartment, identify compartment cargo kind and covering information and detect opening and closing state of a compartment door and damage degree of a door lock and the like, so that detection efficiency is greatly improved, and operating personnel are free from tedious operation.

Description

technical field [0001] The invention relates to a non-contact detection device and a detection method, in particular to a non-contact detection device and method for detecting the state of a rail vehicle compartment. Background technique [0002] At present, the carriages required for rail transportation in my country mainly include box cars, gondola cars, tank cars, and air-conditioned passenger vehicles. Whether the lock is in good condition, recording the type of goods and covering information, estimating the loading capacity of the compartment, judging whether the height of the goods exceeds the limit and the position of the overrun, etc. [0003] At present, the detection and recording of the status of the truck compartments are mainly done manually, but due to the large number of compartments and the long distances between them, it is difficult to perform effective manual detection in a relatively short period of time. Several electronic pre-inspection systems are also...

AI Technical Summary

Problems solved by technology

However, it is still necessary to manually participate in the identification and pre-inspection of the vehicle when the vehicle passes. It cannot automatically identify the type of compartment and the type of cargo, and cannot check the state of the cover of the open car, so there is a lack of real-time performance.

And it is impossible to accurately calculate the speed of the vehicle, automatically identify the front and rear of the vehicle, automatically identify the joints of the carriages, calculate the number of carriages, and restore the three-dimensional digital images of the carriages. There are still certain difficulties in management

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