融合流程预测的智能管理方法
By using multi-scale residual energy spectrum analysis and reversible time-frequency rearrangement technology, disturbances are peeled off layer by layer, a stable residual baseline is constructed, false critical signals are identified, and an adaptive intervention strategy is generated. This solves the problem of misjudgment of predicted residual amplification in high-frequency dynamic adjustment and improves the robustness and reliability of the process management system.
CN121745832BActive Publication Date: 2026-07-17ANHUI UNIV OF SCI & TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI UNIV OF SCI & TECH
- Filing Date
- 2025-11-17
- Publication Date
- 2026-07-17
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Figure CN121745832B_ABST
Abstract
本发明公开了融合流程预测的智能管理方法，涉及智能管理与预测分析技术领域，包括以下步骤：获取多尺度残差能谱指纹，采用可逆时频重排结合斜率同向度量方式，对动态序列中的随机扰动进行逐层剥离，形成稳定残差基线；在稳定残差基线的约束下，提取残差放大源核，构建微扰响应矩阵，采用微幅牵引试探方式识别残差放大效应的增益规律与边界漂移路径。本发明通过构建六级闭环控制流程，实现对预测残差的识别、判别与抑制，结合能谱指纹提取、流形嵌入判别及相位门控干预，具备主动熄灭误判信号与动态更新策略的能力，显著提升管理系统的稳健性与智能化水平。
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