Method for intelligently sensing and recognizing state of lifting appliance of portal crane based on AI

Abstract

The invention discloses a method for intelligently sensing and recognizing the state of a lifting appliance of a portal crane based on AI. A plurality of cameras are arranged on multiple sides in a lifting hook of the lifting appliance walking transversely of the portal crane; a three-dimensional image is formed by synthesizing data of the camera, and whether locking and unlocking states are completed or not is judged by analyzing loading and unloading of a lifting hook in the three-dimensional image. The camera is arranged on the transverse walking lifting appliance of the portal crane, video monitoring is performed on the states of the lifting hook and the hook ring through the camera, monitoring is simple and fast, positioning information collection of the states of the lifting hook and the hook ring of the lifting appliance of the portal crane is achieved, systematic automatic management is facilitated, and the working efficiency is improved. And the operation efficiency and the management effect of the operation of the portal crane are improved. The patent comes from the science and technology research subject of the railway container intelligent station key technology research of the Chinese railway group limited company, and the subject number is N2020X009.

Description

technical field [0001] The invention belongs to the technical field of railway container crane hoisting, and in particular relates to a method for identifying the state of a gantry crane spreader based on AI intelligent perception. Background technique [0002] In the existing railway container yard operations, gantry cranes have been widely used for hoisting operations. The opening and closing signals of the spreader on the gantry cranes are mostly detected by ultrasonic sensors or Hall switches, which cannot be intelligently identified and judged, and can only be output indirectly. Whether the opening / closing signal is completed or not, the signal of the opening / closing of the spreader is wrong at the scene, and the safety risk increases. In particular, the rotation degree of the hook of the spreader and the operation image are not output, so that the driver of the gantry crane can only judge the unlocking of the spreader by the signal of opening and closing the lock. But...

AI Technical Summary

Problems solved by technology

[0002] In the existing railway container yard operations, gantry cranes have been widely used for hoisting operations. The opening and closing signals of the spreader on the gantry cranes are mostly detected by ultrasonic sensors or Hall switches, which cannot be intelligently identified and judged, and can only be output indirectly. Whether the opening and closing signal is completed, the signal of the opening and closing of the spreader is wrong on site, and the safety risk increases

In particular, the rotation degree of the hook of the spreader and the operation image are not output, so that the driver of the gantry crane can only judge the unlocking of the spreader by the signal of opening and closing the lock

However, it is still impossible to ensure the locking state of the hook, which affects the lifting efficiency and affects the safety of production.

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