Device health analysis and early warning method and system

CN117331791BActive Publication Date: 2026-06-19HUIZHIAN INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUIZHIAN INFORMATION TECH CO LTD
Filing Date
2023-10-31
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In a distributed server system, server devices are prone to crashing under high data volume and high frequency task processing scenarios. However, existing monitoring methods have delays and errors, and cannot achieve real-time and accurate monitoring of all server devices, resulting in reduced monitoring reliability and efficiency.

Method used

By identifying whether server devices are in a preset working mode, a time-division communication channel is built with the Elasticsearch platform to listen to and store working data, analyze working performance information, predict lifecycles, and send task execution status information, thereby achieving comprehensive real-time health monitoring and early warning for all server devices.

Benefits of technology

It enables accurate real-time health monitoring of all server devices under the distributed server system, and promptly returns early warning notifications, ensuring the reliability and efficiency of monitoring.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method and system for device health analysis and early warning. It identifies each server device within a distributed server system, determines whether the server device is in a preset working mode, and establishes a time-division communication channel between all server devices in the preset working mode and the Elasticsearch platform. The Elasticsearch platform is then used to perform real-time data monitoring of the distributed server system. Furthermore, the working data monitored from the server devices is stored in the Elasticsearch platform's storage space, and the stored working data is analyzed to obtain the server device's performance information, thereby accurately and in real-time identifying the server device's working status. Based on the performance information, the lifecycle of the server device in its normal working state is predicted, and the task execution status information of the server device is returned to the user, ensuring monitoring reliability and efficiency.
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