Automatic container identifying and positioning method

Abstract

The invention discloses an automatic identification and positioning method for a container. The method comprises an industrial personal computer, a binocular camera, a monocular camera and a light source, a WinCC process monitoring system application program with an SQL Server database is installed on an industrial personal computer. Container number position information of containers is stored inthe database. The WinCC process monitoring system is provided with a set of warehouse-in and warehouse-out programs. The binocular camera is installed on a container lifting appliance and used for conducting secondary recognition and positioning on a container, the monocular camera is installed at a container warehousing position and used for automatically recognizing the number of the warehousedcontainer, the light source and the camera are installed in a matched mode, and the brightness can be automatically adjusted according to changes of ambient light. Firstly, the theoretical position of a container is stored through a database; then, a binocular camera is adopted to collect container pictures, and a set of algorithm based on machine vision is designed to carry out secondary identification and positioning on the container; the method has the advantages that the positioning precision is high, the algorithm processing is simple, the efficiency is high, the applicability is high, the mechanical automation level of places such as wharfs, ports and goods yards can be improved, and the container hoisting efficiency of cranes is improved.

Description

technical field [0001] The invention relates to the field of automation, in particular to a container automatic identification and positioning method. Background technique [0002] With the rapid development of the logistics industry and the rise of labor costs, docks, ports, freight yards and other places urgently need to increase the efficiency of cargo turnover and reduce labor management costs by improving the automation level of machinery. Among them, the link of lifting the container by the crane has higher requirements on the driver's operation, and it takes a long time to use manual operation to align the spreader with the container. The key to improving the efficiency of this link is to realize the automatic alignment of the spreader and the keyhole on the container. With the advancement of computer, image processing, artificial intelligence, intelligent control and other technologies, the flexible automation technology based on machine vision has been realized and...

AI Technical Summary

Problems solved by technology

Among them, in the link of lifting the container by the crane, the driver's operation requirements are relatively high, and it takes a long time to use manual operation to align the spreader with the container

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