Container automatic landing device based on expert system and control method thereof

Abstract

The invention discloses a container automatic landing device based on an expert system and a control method thereof. The container automatic landing device comprises at least four cameras and at leastsix single-point laser devices. The at least four cameras and the four single-point laser devices of the at least six single-point laser devices are arranged at the four hosting tool corners of a hoisting tool fixing support. The two single-point laser devices of the at least six single-point laser devices are arranged on the outer sides of two short sides of the hoisting tool fixing support. Thefront end of the hoisting tool fixing support is lower than the rear end of the hoisting tool fixing support. The first and second cameras of the at least four cameras, the first and second laser devices, the third and fourth cameras and the third and fourth laser devices are arranged at the front end and the rear end of the hoisting tool fixing support correspondingly. Through combination of multiple types of sensors and the experience of manual container landing, the container automatic landing device controls a hoisting tool through sensing signals to implement low-point and high-point landing of containers, realizes automatic and dynamic landing of the containers and improves the container landing precision and efficiency through cooperation of the cameras and high-precision measurement of the single-point laser devices.

Description

technical field [0001] The invention relates to the field of container loading and unloading, in particular to an expert system-based automatic container loading device and a control method thereof. Background technique [0002] With the continuous growth of my country's import and export trade, the requirements for throughput and efficiency of port container packing business are also increasing. Among them, tire-type container gantry cranes are common container handling equipment on the wharf. In the case of manual boxing, a key step that affects efficiency is the alignment and placement of the final stage of boxing, especially when the box is shaking due to movement or strong wind. This process is also a technical difficulty in the fully automated crane system. Some existing solutions have some limitations. For example, the camera-based solution is easily affected by the weather, is inaccurate, has a large delay, and has a long waiting time, which affects efficiency; ther...

AI Technical Summary

Problems solved by technology

Some existing solutions have some limitations. For example, the camera-based solution is easily affected by the weather, is inaccurate, has a large delay, and has a long waiting time, which affects efficiency; there is also a change in the mechanical structure of the spreader to reduce shaking, but it cannot Completely removes sloshing, while retrofitting is costly

Images