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通过集成数据中心数字孪生体来增强现有 IT 采购和部署工作流程.pdf

上传人: 明**** 编号:1011991 2025-12-21 15页 2.57MB

1、Matthew Kufeler,CadenceAugmenting Existing IT Procurement and Deployment Workflows Through the Integration of a Data Center Digital TwinAugmenting Existing IT Procurement and Deployment Workflows Through the Integration of a Data Center Digital TwinMatthew Kufeler,CadenceDigital TwinsDisconnect betw

2、een teams managing IT systems and teams managing the data center infrastructureInhibits coordination and impacts data center performance and capacity utilizationImplementation of a digital twin for capacity planning bridges the gapThe Value of a Capacity-Planning Digital TwinPoint-in-time CFD analys

3、is had been used to understand cooling performance retrospectivelyPerformance improvements achieved through retrospective troubleshooting made the case for proactive analysis of plans for new IT deploymentsAdoption of a capacity-planning digital twin offered understanding of multiple capacity vertic

4、alsThermal and airflow analysisPower availability and distributionSpace and floor loading(weight)Initially,the digital twin enabled informed deployment decisions downstream,but didnt automatically capture incoming deployment requirementsThe Grounds for ImplementationData Center Digital Twin Structur

5、eTypical Digital Twin Data Stack1.Objects on the floorplan What is it and where is it?Mechanical,electrical,and IT2.Assets in the racks What is it,where is it,and how many kW consumed?3.Circuits and power chain How does power distribute downstream to the assets?4.Historical power readings What is th

6、e furthest downstream kW draw measured?5.Perf tiles and supply/return grates What kind of tiles and where?Dampers?6.Historical environmental readings Do simulation results track against field measurements?Digital TwinData StackData Hall FloorplanHistorical PowerCircuits andPower ChainHistorical Envi

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根据报告的内容,全文主要内容概括如下: 1. **数据中心数字孪生价值**:通过整合数据中心数字孪生,解决IT系统管理团队与数据中心基础设施管理团队之间的脱节,提高协调性和数据中心性能。 2. **容量规划数字孪生**:利用点时CFD分析进行冷却性能回顾,通过前瞻性分析新IT部署计划,实现性能改进。 3. **数字孪生结构**:包括对象、资产、电路、功率链、历史功率读数、性能瓷砖和供应/返回格栅、历史环境读数等数据。 4. **数据到数字孪生的转换**:通过提取、转换和加载数据,实现系统间数据交换。 5. **集成架构**:使用Cadence Reality DC Gateway等工具,实现采购和部署系统之间的数据交换。 6. **OCP数字孪生工作组**:旨在开发基于OCP社区需求的标准框架,促进数字孪生数据交换和生态系统开放。
提升数据中心效率?" 数字孪生如何助力?" 数字孪生标准化的意义?"
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