T/DZJN 47-2021 Active Group standards

T/DZJN 47-2021 Digital twin technology specification for data centers

Publish Date: 2021-10-20 Implement Date: 2021-11-20 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/DZJN 47-2021

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: \nElectricity measurement and load control system

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2021-10-20

Implement Date: 2021-11-20

Scope

Main Technical Content: 4.1 General Requirements 4.1.1 The digital twin of the data center should be based on the data center's geometric data, equipment performance data, equipment operation data, climate data, etc. Through mathematical modeling, big data analysis, simulation, and AI technology, a digital twin of the data center and related applications should be built to provide value-added services for intelligent data center design, construction, and safe, green, and efficient operation. 4.1.2 The digital twin of the data center should adopt an open architecture and be constructed independently of existing monitoring systems. It can also be extended and built on top of existing DCIM systems. 4.1.3 The digital twin of the data center should support multiple data sources and formats. Data sources include BIM model data, monitoring system data, and configuration management database data, while data formats include text, images, videos, audio, and audiovisual multimedia. 4.1.4 The connection methods, information transmission, interaction mechanisms, and connection testing methods between the physical entity of the data center, the digital twin, and related applications should comply with the requirements of international standards IEC 61158-1, IEC 61158-2, IEC 61784-1, IEC 61784-2, IEC 62026-1, and IEC 62026-2. 4.1.5 The digital twin of the data center should manage the data collected during its construction. Possible data governance techniques include filtering, parsing, correction, deduplication, classification, aggregation, sorting, and matching. Data should be categorized based on their content, forming different thematic datasets. 4.1.6 The digital twin of the data center should have a framework for account permissions management, data source management, and digital twin application management. 4.1.7 The digital twin of the data center should ensure the security and reliability of data and related applications. 4.1.8 The digital twin of the da