Intelligent rust removal method, device, equipment and system of laser cleaning machine

By comprehensively judging the degree of rust through image analysis, environmental parameters, and spectral detection, the problem of inaccurate rust degree judgment in existing laser rust removal technology has been solved, enabling precise control of the laser cleaning machine and improving rust removal efficiency and effect.

CN119035178BActive Publication Date: 2026-06-09GUANGDONG XINQUANLI LASER CNC EQUIP CO LTD
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Patent Information

Application Number
CN202411404999.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-10
Publication Date
2026-06-09
Estimated Expiration
2044-10-10

AI Technical Summary

Technical Problem

Existing laser rust removal technology lacks accurate judgment and intelligent control of the degree of metal corrosion, resulting in poor rust removal effect, over-rust removal, or incomplete rust removal.

Method used

Images of the metal surface are captured by a camera, and the images are analyzed to identify rusted areas and determine the roughness level of the rust. Environmental parameters are collected using sensors to calculate the environmental impact index. A spectrometer is controlled to detect rusted areas and analyze the type of rust and the complexity of its chemical composition. These factors are combined to calculate a comprehensive rust degree index and determine the laser cleaning parameters for the laser cleaning machine.

Benefits of technology

It achieves efficient and precise rust removal in rusted areas of metal, avoiding damage to the metal substrate caused by over-rust removal or incomplete rust removal, and fully considers the impact of environmental factors.

✦ Generated by Eureka AI based on patent content.
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Abstract

The application discloses a kind of laser cleaning machine intelligent rust removal method, device, equipment and system, it is related to laser rust removal field, method includes: by controlling camera to the surface of target metal piece photographing obtains metal surface image, rust area is identified and rust rough grade is determined to image analysis;Utilize sensor to collect the environmental parameter of target metal piece application scene, calculate out environmental influence index total;Spectrometer is detected simultaneously to rust area by control, and spectrum detection data is obtained, rust type is determined and chemical composition complexity index is obtained by analysis;Chemical composition complexity index, rust rough grade, rust type and environmental influence index are weighted and summed to calculate out comprehensive rust degree index by synthesis;According to comprehensive rust degree index, the laser cleaning parameter of laser cleaning machine is determined, and laser cleaning machine is controlled to the rust area of target metal piece and carries out laser rust removal.The application can effectively improve the rust removal effect of metal rust.
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