Health degree diagnosis system and diagnosis method applied to cold rolling laser welding machine

By constructing a health diagnosis system, the status of laser welding machine equipment is collected, cleaned, and analyzed. Important variables are screened, and core component models are built. This solves the problem of inaccurate status judgment of laser welding machines, realizes intelligent diagnosis and early warning of equipment status, and improves the stability and reliability of production.

CN122087599APending Publication Date: 2026-05-26BAOSHAN IRON & STEEL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BAOSHAN IRON & STEEL CO LTD
Filing Date
2024-11-26
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In the existing technology, the equipment status of laser welding machines is handled by manual judgment, which results in low timeliness and accuracy of judgment, failure to detect faults in a timely manner, and affects the welding reliability of the welding machine and the normal production of the unit.

Method used

A health diagnostic system is constructed by collecting, cleaning, and analyzing the status data of welding equipment, using the Boruta algorithm to screen important variables, building health models for each core component, using a joint analysis model to calculate the overall health of the welding machine, and performing trend analysis and early warning.

Benefits of technology

It enables effective and timely control of the laser welding machine's status, improves the reliability of the welding machine's operation and the stability of production, and reduces maintenance costs and inventory capital occupation.

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Abstract

The invention discloses a health degree diagnosis system and method applied to a cold rolling laser welding machine. Firstly, state data of welding machine equipment are collected; analyzing and cleaning the collected state data of the welding machine equipment, and sending the data to a unit area server; then, dimensions are screened, variable weights are obtained, and an overall laser welding machine health degree model is formed by constructing a single core equipment health degree model, a laser source high-frequency cabinet health degree model, a resonant cavity health degree model, a welding machine body health degree model and a heater health degree model; and finally calculating to obtain the overall health degree of the welding machine. According to the method, more necessary equipment parameters are obtained by additionally arranging a sensor and a data collector, and an overall laser welding machine health degree model is constructed; according to the method, the current overall state of the welding machine can be deduced in the forward direction, the abnormity of a certain core device or a certain part can be traced in the reverse direction, effective control and intelligent control of the state of the laser welding machine are achieved, and the defects in the prior art are overcome.
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