一种氧化铝纤维制胶工艺中自动投加铝粉的方法及系统

By constructing a high-quality production process trajectory library for alumina fiber adhesive production and analyzing multimodal production status characteristics, the problem of real-time accuracy in aluminum powder addition was solved, achieving stability and uniformity of alumina fiber product performance and supporting refined management of the production process.

CN121766843BActive Publication Date: 2026-07-17RONGRONG NEW MATERIAL TECHNOLOGY (GUANGXI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
RONGRONG NEW MATERIAL TECHNOLOGY (GUANGXI) CO LTD
Filing Date
2025-12-26
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the existing alumina fiber adhesive manufacturing process, the addition of aluminum powder relies on manual experience, resulting in large fluctuations in process conditions. It is difficult to accurately reproduce the optimal reaction path, which affects the uniformity and stability of product performance. Furthermore, the existing automatic addition technology cannot cope with complex nonlinear reaction kinetics and batch differences in raw materials.

Method used

By acquiring full-process monitoring data of historical high-quality production batches, a high-quality production process trajectory library is constructed. Real-time deviation analysis and future trend inference are performed using multimodal production status characteristics. A differential game model is constructed to optimize the aluminum powder addition strategy and achieve dynamic control.

Benefits of technology

It achieves real-time precision in aluminum powder addition and refined management of the production process, improves the uniformity and stability of alumina fiber product performance, and supports digital management of the production process.

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Abstract

本发明公开了一种氧化铝纤维制胶工艺中自动投加铝粉的方法及系统,包括:获取历史优质生产批次的全流程监测数据,构建关联不同生产质量的优质生产工艺轨迹库。基于当前批次的反应釜状态与原料信息,在轨迹库中匹配理想最优生产轨迹,并依据实时监测数据构建融合统计特征与关联关系的多模态生产态势特征。通过实时生产态势轨迹与理想轨迹的偏差分析推断未来偏移趋势。构建铝粉投加与反应态势间的微分博弈模型,通过求解纳什均衡获取全局投加计划序列实现铝粉的自适应、闭环投加管控。生产结束后,将符合标准的批次数据用于增强工艺轨迹库。实现了对复杂制胶反应的智能化动态调控,提升了产品质量稳定性与工艺自适应能力。
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