An edge-computing-based industrial data real-time processing system and method

CN122412925APending Publication Date: 2026-07-17SHANDONG GUOYAN AUTOMATION CO LTD
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Patent Information

Application Number
CN202610873253.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing industrial data processing methods, with limited computing power at the edge, struggle to balance low-latency response with fine-grained optimization under abnormal disturbances, resulting in control link jitter and delayed analysis results, failing to meet the needs of real-time energy efficiency optimization and condition assessment for industrial equipment.

Method used

An industrial data real-time processing system based on edge computing is deployed on an edge gateway. It includes a first processing core, a second processing core, and shared memory. Through a manifold computing power routing module and a deep analysis module, it realizes hierarchical routing for high-frequency real-time control and low-frequency complex analysis. It uses entropy increase exponent and eigenvalue decomposition techniques to generate state optimization parameters and update the control baseline.

Benefits of technology

Under the condition of limited edge computing power, low-latency control and energy efficiency optimization are coordinated, avoiding control delay and analysis lag, improving the stability and response determinism of equipment operation, and supporting long-term state assessment.

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Abstract

本发明涉及工业边缘计算与智能控制技术领域,具体为一种基于边缘计算的工业数据实时处理系统及方法,部署于含第一处理核心、第二处理核心与共享内存的边缘网关,包括:实时获取工业设备多维时间序列数据;基于滑动时间窗口和延迟步长进行相空间重构并计算滑动协方差矩阵;计算迹变化率生成熵增指数;比较熵增阈值,超阈时进行特征分解、正交投影生成降维残差序列并发出唤醒指令;第二处理核心基于预设损失函数执行局部梯度更新生成状态优化参数并写入共享内存;第一处理核心读取所述参数更新控制基准,实现低延迟能效优化控制,本发明精准满足了工业现场的状态评估需求。
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