The Digital Twin Data Center relies on digital twin technology to 1:1 replicate physical entities and integrates AI algorithms to create a "visual, manageable, controllable, and predictable" digital intelligence management platform. It achieves real-time control of the global status through the overall overview screen, achieves early warning and proactive maintenance of faults through the device management screen, optimizes resource allocation and minimizes PUE through capacity management and environmental perception screens, supports green low-carbon operation and carbon trading data protection through the carbon perception screen, and achieves active security and emergency drill verification through the security warning screen; Ultimately, it is like an 'AI butler', simplifying complex management, revealing hidden risks, reducing huge energy consumption, ensuring sustainable business operations, improving operational efficiency, and maximizing investment returns.
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Primary Module |
Secondary Module |
Description |
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Domestic innovation support |
Domestic hardware |
CPU with c86 architecture |
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Operating System |
Galaxy Kirin Advanced Server Operating System V10SP3 (kernel version 4.19) |
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Tongxin Desktop Operating System V20 (kernel version 5.10) |
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Winning the bid for the Kirin operating system |
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Domestic Database |
KingbaseESV8 Database Management System |
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Rendering Architecture |
Public Cloud |
Provide services through Internet shared resource pool, support elastic expansion and annual payment |
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Private Cloud |
Dedicated cloud environment for a single organization, deployable locally or in a hosted data center, with exclusive and secure resources |
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3D Scene |
Large scale scene presentation |
Supports city level loading of all elements (including buildings, roads, water systems, terrain, and other urban features) with an area of over 2500km ² (currently up to 50000km ²) |
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Model rendering carrying capacity |
Compatible with LOD100-LOD500 full-size BIM models, the maximum number of rendered surfaces in 3D scenes is no less than 1 billion, and the mapping accuracy can reach up to centimeter level |
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Scene environment settings |
Support the use of real physical lighting models, support 24-hour lighting settings, and can simulate various weather environments such as clouds, rain, snow, fog, haze, dust, etc |
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Particle Effects |
Can support particle effects such as flames, smoke, and water |
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Image Resolution |
Supports 4K material resolution. The minimum resolution should not be lower than 1080P, and the minimum operating frame rate of the system should not be lower than 24fps, with a typical value of 30fps and support for 60fps |
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Output Method |
Support access to desktop computers, laptops, mobile phones, large screens, iPads, H5 and other terminals |
The Digital Twin Data Center relies on digital twin technology to 1:1 replicate physical entities and integrates AI algorithms to create a "visual, manageable, controllable, and predictable" digital intelligence management platform. It achieves real-time control of the global status through the overall overview screen, achieves early warning and proactive maintenance of faults through the device management screen, optimizes resource allocation and minimizes PUE through capacity management and environmental perception screens, supports green low-carbon operation and carbon trading data protection through the carbon perception screen, and achieves active security and emergency drill verification through the security warning screen; Ultimately, it is like an 'AI butler', simplifying complex management, revealing hidden risks, reducing huge energy consumption, ensuring sustainable business operations, improving operational efficiency, and maximizing investment returns.
|
Primary Module |
Secondary Module |
Description |
|
Domestic innovation support |
Domestic hardware |
CPU with c86 architecture |
|
Operating System |
Galaxy Kirin Advanced Server Operating System V10SP3 (kernel version 4.19) |
|
|
Tongxin Desktop Operating System V20 (kernel version 5.10) |
||
|
Winning the bid for the Kirin operating system |
||
|
Domestic Database |
KingbaseESV8 Database Management System |
|
|
Rendering Architecture |
Public Cloud |
Provide services through Internet shared resource pool, support elastic expansion and annual payment |
|
Private Cloud |
Dedicated cloud environment for a single organization, deployable locally or in a hosted data center, with exclusive and secure resources |
|
|
3D Scene |
Large scale scene presentation |
Supports city level loading of all elements (including buildings, roads, water systems, terrain, and other urban features) with an area of over 2500km ² (currently up to 50000km ²) |
|
Model rendering carrying capacity |
Compatible with LOD100-LOD500 full-size BIM models, the maximum number of rendered surfaces in 3D scenes is no less than 1 billion, and the mapping accuracy can reach up to centimeter level |
|
|
Scene environment settings |
Support the use of real physical lighting models, support 24-hour lighting settings, and can simulate various weather environments such as clouds, rain, snow, fog, haze, dust, etc |
|
|
Particle Effects |
Can support particle effects such as flames, smoke, and water |
|
|
Image Resolution |
Supports 4K material resolution. The minimum resolution should not be lower than 1080P, and the minimum operating frame rate of the system should not be lower than 24fps, with a typical value of 30fps and support for 60fps |
|
|
Output Method |
Support access to desktop computers, laptops, mobile phones, large screens, iPads, H5 and other terminals |