Robot rust removal control method and system

A control method and control system technology, applied in the field of robot derusting control method and system, can solve the problems of low derusting efficiency, cumbersome manual operation, etc.

Active Publication Date: 2022-07-22
唐山雄炜机器人有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a robot derusting control method and system, aiming to solve the problem of cumbersome manual operation and low derusting efficiency caused by manually setting the derusting track in the existing robot derusting control process question

Method used

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  • Robot rust removal control method and system
  • Robot rust removal control method and system
  • Robot rust removal control method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] see figure 1 , is a schematic flowchart of the robot rust removal control method provided by the first embodiment of the present invention, including the steps:

[0043] Step S10, receiving the rust removal instruction, and acquiring the information to be removed rust stored in the rust removal instruction;

[0044] The rust-removing information includes the rust-removing image and the rust-removing coordinates. In this embodiment, the robot is provided with a camera or a terminal device with a camera function, and the camera is used under the control of the user's operating instructions. Shoot the image to be derusted;

[0045] Specifically, when a rust removal command from the user is received, the camera is controlled to shoot the to-be-rust-removed image, and the coordinates of the to-be-removed rust stored in the rust-removal command are acquired, and finally according to the to-be-removed image A rust image and the coordinates to be removed to generate the rust ...

Embodiment 2

[0052] see figure 2 , is a schematic flowchart of the robot rust removal control method provided by the second embodiment of the present invention, including the steps:

[0053] Step S11, receiving a rust removal instruction, and acquiring the information to be removed rust stored in the rust removal instruction;

[0054] The information to be derusted includes an image to be derusted and coordinates to be derusted. Preferably, a light source is provided on the main body of the robot, and the light source is used to ensure the brightness of the picture information collected by the camera, so as to reduce the impact of illumination changes on subsequent The influence of errors in the calculation of the preset neural network model;

[0055]Step S21, obtaining rust removal sample data, obtaining and marking the sample features of the sample image in the rust removal sample data;

[0056] Specifically, in this step, the step of acquiring and marking the sample features of the s...

Embodiment 3

[0089] see image 3 , is a schematic structural diagram of the robot rust removal control system 100 provided by the third embodiment of the present invention, including: an instruction receiving module 10, a data analysis module 11 and a rust removal control module 12, wherein:

[0090] The instruction receiving module 10 is configured to receive a rust removal instruction, and obtain the rust removal information stored in the rust removal instruction, where the rust removal information includes the rust removal image and the rust removal coordinates;

[0091] The data analysis module 11 is used to input the image to be derusted and the coordinates to be derusted into a preset neural network model, and control the preset neural network model to perform data analysis to obtain a derusting trajectory, derusting Travel direction and derusting speed;

[0092] The rust removal control module 12 is configured to control the robot to perform the rust removal operation according to ...

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Abstract

The present invention provides a method and system for controlling rust removal by a robot. The method includes the steps of: receiving a rust removal instruction, and acquiring information to be removed rust stored in the rust removal instruction, where the information to be removed rust includes an image to be removed and an image to be removed. Coordinates to be derusted; input the image to be derusted and the coordinates to be derusted into a preset neural network model, and control the preset neural network model to perform data analysis to obtain a derusting trajectory and a derusting travel direction and the rust removal speed; control the robot to perform the rust removal operation according to the rust removal track, the rust removal travel direction and the rust removal speed. Based on the neural network model, the invention automatically calculates the rust removal trajectory, the rust removal travel direction and the rust removal speed, so as to achieve the automatic control of the robot rust removal operation for different rust removal areas, thereby reducing the work operation and improving the efficiency. Rust removal efficiency.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to a method and system for controlling rust removal by a robot. Background technique [0002] Under the background of the integration of the two countries (that is, the high-level in-depth integration of informatization and industrialization), as the layout of artificial intelligence rises to the national strategic level, artificial intelligence must be closely integrated with various fields of industry to achieve a comprehensive understanding of the industrial field. promote. Oxidation, rusting and aging of metals are common problems all over the world. The traditional rust removal method requires manual control of the rust removal depth and action trajectory of the rust remover. Due to differences in human experience and visual errors, it is difficult to achieve full automation of rust removal. and optimized operation, wastes metal resources, electricity and labor, and when worker...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): B25J9/16B25J11/00B25J13/00G06K9/00G06N3/08
CPCB25J9/161B25J9/1664B25J11/005B25J13/00G06N3/084G06V20/10
Inventor孙军刘长清周尾
Owner唐山雄炜机器人有限公司