Machine vision-based slag salvaging method and robot system

A machine vision and robot technology, applied in the field of robot systems, can solve problems such as low efficiency of blind fishing and low accuracy of slag fishing, and achieve the effects of reducing fishing frequency, improving autonomy, and low power consumption/efficiency ratio

Active Publication Date: 2020-12-01
WUHAN UNIV OF SCI & TECH
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Problems solved by technology

[0005]Aiming at the problems of low efficiency and low precision of current slag-picking robots, the present invention provides a slag-picking method and robot system based on machine vision, which can automatically Identify and classify zinc slag, continuously iterate and optimize the obtained data, obtain the optimal order of fishing, reduce fishing frequency, improve fishing efficiency, reduce loss, and realize independent green slag fishing

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  • Machine vision-based slag salvaging method and robot system
  • Machine vision-based slag salvaging method and robot system
  • Machine vision-based slag salvaging method and robot system

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Embodiment Construction

[0052] The slag removal method and robot system based on machine vision implemented according to the present invention, such as Figure 1-6 As shown, the problem of low efficiency of the slag removal robot in the related art is solved.

[0053] The slag removal robot system based on machine vision provided by the present invention, the system flow chart is as follows Figure 1-2 As shown, the plane structure diagram of the slag removal system is shown in figure 2 As shown, the slag removal robot system includes the camera of the depth camera 1, the robot arm 2 of the slag removal robot, and the PLC controller 5. The working range of the robot arm 2 extends to the slag removal area C, and the depth camera 1 is arranged in the slag collection area C. The upper part of the district, the slag removal area C area is located at the rear of the furnace nose 3. Area A is the galvanized area, where zinc slag 4 is mainly generated, areas B and D are slag removal channels, zinc slag i...

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Abstract

The invention discloses a machine vision-based slag salvaging method and robot system. A thick slag area influencing the quality of a galvanized plate is identified and positioned through a vision technology, then, a slag salvaging sequence is obtained according to a slag salvaging area priority rule, and finally, a slag salvaging robot is controlled to salvage all thick slag and pour the thick slag into a nearby slag hopper. Compared with a traditional robot slag salvaging system, the machine vision-based slag salvaging scheme is provided, the optimal slag salvaging sequence is optimized anddetermined according to zinc slag distribution characteristics and a slag salvaging strategy, zinc consumption and power consumption caused by unnecessary slag salvaging times are reduced, the autonomy of the slag salvaging robot is remarkably improved, and the operation efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of hot-dip galvanizing slag removal, and in particular relates to an intelligent slag removal method based on machine vision and a robot system using the method. Background technique [0002] Hot-dip galvanizing is also called hot-dip galvanizing and hot-dip galvanizing. It is an effective metal anti-corrosion method. Generally, the rust-removed steel parts are immersed in a zinc solution that melts at about 460 ° C, so that the surface of the steel components is attached with a zinc layer. So as to achieve the purpose of anti-corrosion. During the galvanizing process, due to the continuous melting of iron on the surface of the strip into the zinc solution, the uneven composition and temperature of the zinc pot, and the oxidation caused by the air knife injection, the generation of zinc dross is inevitable. Zinc slag defects on the surface of hot-dip galvanized strip steel become one of the main quality def...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C23C2/00C23C2/06C23C2/40B25J9/08B25J9/16B25J19/02B25J11/00
CPCC23C2/003C23C2/06C23C2/40B25J9/08B25J9/1697B25J9/1602B25J19/023B25J11/00
Inventor 但斌斌陈刚张振洲李克波熊凌容芷君牛清勇付婷李颖罗钟邱
Owner WUHAN UNIV OF SCI & TECH
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