Power system reliability evaluation model construction method and evaluation method for data center
By building a power system reliability evaluation model, conducting multi-level impact analysis and risk quantification, the problem of difficulty in evaluating the reliability of the data center power system in the existing technology is solved, and accurate assessment of fault modes and risk identification is achieved, which significantly improves system reliability.
CN119646741APending Publication Date: 2025-03-18NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Patent Information
- Application Number
- CN202411723700.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
The prior art is difficult to scientifically and effectively evaluate the reliability of the data center power system, and it is impossible to accurately identify weak links in the system.
Method used
By constructing a power system reliability assessment model, including a failure mode impact category database, a severity category database and a failure mode probability level database, combined with a risk assessment model, multi-level impact analysis and risk quantification are carried out.
Benefits of technology
Accurate assessment and risk identification of power system failure modes are achieved, system design and maintenance are optimized, and the overall reliability of the data center power system is significantly improved.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a power system reliability evaluation model construction method for a data center and an evaluation method. The method comprises the following steps: constructing a fault mode influence category database, a fault mode severity category database and a fault mode probability grade database based on a power system fault mode; a risk assessment model of the fault mode is established and determined, the risk assessment model is used for carrying out severity category calibration on the fault mode severity category database and carrying out probability grade calibration on the fault mode probability grade database, and according to a severity category calibration result and a probability grade calibration result under the same product fault mode, the risk assessment model of the fault mode is determined; and obtaining a calibration result for evaluating the reliability of the current product. Through fault mode analysis, fault influence evaluation and hazard analysis of the system, the reliability of the data center power system can be improved.
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