Fault Root Cause Location and Hardware Reset System for Cloud-Edge Collaborative Architecture

By constructing a component association graph and quantifying the residual degree of abnormal data, the problem of diagnostic offset caused by multi-granularity reset in the cloud-edge collaborative architecture was solved, achieving accurate fault root cause location and controlled hardware reset, and improving fault diagnosis accuracy and automated self-healing capability.

CN122064522BActive Publication Date: 2026-06-30ST MAX INTELLIGENT TECH (JIANGSU) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ST MAX INTELLIGENT TECH (JIANGSU) CO LTD
Filing Date
2026-04-17
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Under the cloud-edge collaborative architecture, the existing fault location and recovery system cannot accurately identify the differences in component-level traces caused by multi-granularity resets, resulting in diagnostic deviations and blind whole-machine resets, which affect the high availability and automated operation and maintenance level of the cloud-edge collaborative cluster.

Method used

A component association graph is constructed. The mapping module quantifies the residual degree of abnormal data, the boundary extraction module calculates the data retention gap, the root cause localization module determines the root cause component domain, and the reset selection module selects the controlled hardware reset instruction. The execution module releases the data domain by domain, and the write-back module generates reset effectiveness indicators.

Benefits of technology

It enables precise fault root cause localization for multi-granularity resets, avoids blind whole-machine resets, and improves the fault diagnosis accuracy and automated self-healing capability of cloud-edge collaborative clusters.

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Abstract

This invention relates to the field of industrial operation and maintenance technology, and discloses a fault root cause localization and hardware reset system for a cloud-edge collaborative architecture. The system includes: a graph construction module for constructing a component association graph containing power supply dependencies and reset spillover spans; a mapping module for converting the record sets before and after protective reset into abnormal data residues in component domains; a boundary extraction module for calculating the data residue difference between adjacent component domains to extract the boundary of the largest record mutation; a root cause localization module for determining the root cause component domain by combining the distance to the mutation boundary and the fault interpretability; a reset selection module for selecting the least costly controlled hardware reset command for the abnormal propagation component set; a reset execution module for performing domain-by-domain release according to the power supply sequence and based on the first read of observable data after record management is extracted; and a verification write-back module for generating reset effectiveness indicators. This invention avoids misjudgment of reset byproducts and achieves accurate localization and a high degree of preservation of on-site clues.
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