An IT equipment asset maintenance intelligent management method and system

By designing an intelligent management system for IT equipment asset maintenance and collecting and analyzing multi-dimensional parameters in real-time, the problem of lack of systematization and intelligence in IT equipment management is solved, and the equipment status is accurately monitored and fault prediction is achieved, maintenance costs and downtime are reduced, and equipment reliability and enterprise competitiveness are improved.

CN119420662BActive Publication Date: 2025-03-28SHENZHEN LINGXIONG RENT SERVICE CO LTD
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Patent Information

Application Number
CN202510016568.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-06
Publication Date
2025-03-28
Estimated Expiration
2045-01-06

AI Technical Summary

Technical Problem

The existing technology lacks systematization and intelligence in IT equipment management, resulting in equipment failure not being discovered in time, affecting operational efficiency and productivity, and increasing maintenance costs, wasted resources, and decreasing customer satisfaction.

Method used

An intelligent management system for asset maintenance of IT equipment is designed, including data acquisition module, data processing module, device status analysis module, historical data comparison module, intelligent prediction module and result report generation module. By collecting multi-dimensional parameters, data preprocessing, device status analysis, historical data comparison and intelligent prediction in real time, comprehensive reports are generated to support management decision-making.

Benefits of technology

Real-time monitoring and accurate evaluation of IT equipment, timely identification of potential faults, reduce equipment downtime and maintenance costs, improve equipment reliability and performance, and enhance enterprise market competitiveness and response speed.

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Abstract

The present invention discloses an intelligent management method and system for IT equipment asset maintenance, which relates to the field of intelligent management technology. During operation, the system collects multi-dimensional parameters of IT equipment in real time and transmits them to a data processing module, pre-processes the collected data, comprehensively analyzes the current status of the equipment, and calculates the health status coefficient H of the equipment. state , obtain the current equipment operation status, establish a baseline for the equipment's historical operation data, compare the current status with historical data, analyze the equipment's performance trends and changes, and calculate and obtain: trend analysis coefficient T trend Through the accumulation of long-term data, potential problems and performance degradation trends of equipment are identified, and the final failure prediction probability index P is calculated. failure , and at the same time compare it with the set threshold, obtain the level prediction plan, and generate early warning information, prompting the system administrator to sort and allocate tasks according to the urgency and priority of the tasks. The system automatically generates a comprehensive report to provide decision support for managers.
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