A process parameter intelligent optimization system for automobile steel wire production

By constructing a Lagrange coordinate system and implementing feedforward control in the production of automotive steel wire, the problem of ignoring the cumulative historical influence in traditional control modes was solved, achieving high consistency and low scrap rate of automotive steel wire products, and improving the adaptability of the production line and the accuracy of quality control.

CN122239494APending Publication Date: 2026-06-19WUHAN MINGYU METAL PARTS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN MINGYU METAL PARTS CO LTD
Filing Date
2026-05-21
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing feedback control modes based on fixed-point monitoring ignore the historical cumulative effects of materials in different processes in automotive steel wire production, resulting in an inability to effectively guarantee product performance consistency. Traditional control systems are unable to cope with nonlinear quality fluctuations caused by multi-parameter coupling.

Method used

A Lagrange coordinate system is constructed to discretize the automotive steel wire into material particles. Time-series data is acquired through a data acquisition module and mapped to the particles. A deviation calculation module is used to evaluate the state deviation trajectory, a prediction module evaluates the performance loss, and a control module implements feedforward control to generate process parameter compensation quantities, thereby realizing feedforward control of the equipment.

Benefits of technology

By tracking the historical cumulative effects of material particles, product performance fluctuations caused by cumulative damage are reduced, the quality consistency of finished automotive steel wire products is improved, the scrap rate is reduced, and a standardized evaluation benchmark is provided to promote the optimization of production processes.

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Abstract

This invention belongs to the field of industrial automation control technology, specifically relating to an intelligent optimization system for process parameters in automotive steel wire production. The system includes: a data acquisition module, a deviation calculation module, a prediction module, and a control module. The data acquisition module constructs a Lagrange coordinate system with material particles as the core, collects time-series process data throughout the entire process, and maps it to the material particles. The deviation calculation module calculates the historical deviation modulus of the material particles based on the arc-length integral of the state deviation trajectory. The prediction module constructs a dissipative damping model based on the historical deviation modulus and calculates the performance loss of the material particles. The control module generates process parameter compensation quantities through inverse projection based on a preset historical regression gradient vector and performance loss, and implements feedforward control of the equipment. This invention achieves closed-loop compensation for historical accumulated damage, improving the consistency of automotive steel wire product performance.
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