Server-based edge control system

CN122309128APending Publication Date: 2026-06-30百信信息技术有限公司
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
百信信息技术有限公司
Filing Date
2026-01-27
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing edge control systems rely on pre-written fixed scripts, which make it difficult to cope with dynamically changing physical environments and diverse business objectives. This results in slow response, insufficient adaptability, and resource conflicts and logical contradictions when controlling multiple devices collaboratively, affecting the reliability and efficiency of control.

Method used

The system employs a server-based edge control system. The policy instantiation module parses control requests, the policy graph module expands the node relationships of control policy instances, the path verification module detects resource conflicts and logical anomalies, the dynamic adjustment module restructures the system, and finally the deployment and execution module generates and executes the optimized control path.

Benefits of technology

It achieves automated conversion from abstract operational intent to specific control logic, improves the system's flexibility and reliability, reduces reliance on manual programming, enhances control efficiency and reliability, and avoids runtime failures and interruptions.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122309128A_ABST
    Figure CN122309128A_ABST
Patent Text Reader

Abstract

This invention relates to the field of edge intelligent control technology and discloses a server-based edge control system. The system includes a policy instantiation module, a policy graph module, a path verification module, a dynamic adjustment module, and a deployment execution module. The system automatically generates corresponding control policy instances by parsing the semantic elements of the original control requests from edge devices. It uses a pre-stored control knowledge graph to match and expand the node relationships of the instances, forming a complete policy execution path. This path undergoes resource conflict and logic anomaly detection in a simulated execution environment, and is structurally reorganized and optimized based on the results, ultimately transforming into a sequence of device command to be issued and executed. This invention achieves automatic generation and optimization of control policies from semantic understanding, improving the automation level, response speed, and operational reliability of edge control.
Need to check novelty before this filing date? Find Prior Art