Intelligent image analysis system of railway cargo inspection robot

Abstract

The invention discloses an intelligent image analysis system of a railway goods inspection robot. A robot erected beside a railway rail slides on a customized rail for routing inspection, and the appearance state and the cargo loading state of a freight boxcar are collected in real time, wherein the appearance state and the cargo loading state include the appearance damage, the physical deformation, the sealing state and the like, and the data is transmitted to a station intelligent analysis terminal through a station WIFI, a 5G technology or a wired transmission mode, so that the inspection content and an inspection result during the cargo inspection process are presented in real time. By combining the information, such as the cargo inspection professional inspection standard, the normalappearance state of the cargo boxcar, etc., through a rear-end image analysis software, and by means of a machine learning algorithm and the model comparison, the functions of automatic inspection, fault warning, early warning and the like of the appearance state and the cargo loading state of the cargo boxcar, are achieved.

Description

technical field [0001] The present invention relates to the technical field of safety detection of railway freight, in particular to an intelligent image analysis system for a railway freight inspection robot. The above-mentioned system can realize functions such as automatic inspection of the appearance state of the freight box car and the loading state of the goods, fault alarm, early warning, and unified information release. . Background technique [0002] Railway cargo inspection management is an important link to ensure railway traffic safety and cargo safety, and is an important component of railway freight safety management. The traditional manual cargo inspection operation method has high labor intensity, low efficiency, and occupies a large number of staff. Once negligence is easy The problem of omission, the existing railway cargo inspection management has the following problems: single inspection method: the current railway cargo inspection operation is generally ...

AI Technical Summary

Problems solved by technology

[0002] Railway cargo inspection management is an important link to ensure railway traffic safety and cargo safety, and is an important component of railway freight safety management. The traditional manual cargo inspection operation method has high labor intensity, low efficiency, and occupies a large number of staff. Once negligence is easy The problem of omission, the existing railway cargo inspection management has the following problems: single inspection method: the current railway cargo inspection operation is generally done manually on foot, with low efficiency, high work intensity, and harsh working environment; inspection accuracy is not high: the inspection results Relying on personal experience, missed inspections and false inspections are prone to occur, and the inspection results are strongly related to the enthusiasm and sense of responsibility of the inspection workers; the inspection equipment is not advanced: the current inspection tools are relatively backward, and they stay in human eyes. The handheld terminal takes photos and uploads, and the judgment of disposal decisions depends on personal experience; the records of the inspection process are incomplete: the inspection results of the cargo inspection process are mainly manually entered into paper forms, supplemented by defect image data, and the process records are insufficient to effectively support post-event data. analyze

It can be seen that although the above-mentioned documents have solved the problem of low efficiency of manual inspection, and the system can monitor the safety of railway freight in real time, clearly, intuitively and automatically, it is only for automatic data collection of railway freight for monitoring and query Vehicle information, which does not address how to improve maintenance efficiency and how to enhance the pertinence of truck inspections

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