Intelligent optimization control system for data center energy management

By constructing energy, network, and business twins for data centers, cross-domain dynamic linkage is achieved. By using twin simulation technology to simulate the impact of optimization strategies, the problem of local optimization and global imbalance in data center energy management systems is solved, enhancing system resilience and stability, and providing an objective basis for selecting optimization control strategies.

CN120848210AActive Publication Date: 2025-10-28SHIJIAZHUANG JIANG NETWORK TECH CO LTD
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Patent Information

Application Number
CN202511074915.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-01
Publication Date
2025-10-28
Estimated Expiration
2045-08-01

AI Technical Summary

Technical Problem

Existing data center energy management systems lack a systematic consideration of the inherent relationships between energy, network, and business systems, leading to local optimization and global imbalance, difficulties in strategy verification and optimization iteration, lack of automated collaborative response mechanisms, insufficient system resilience, lack of objective standards for evaluating optimization effects, and difficulty in meeting dynamic management needs.

Method used

Construct energy-side, network-side, and business-side twins of the data center, achieve cross-domain dynamic linkage through twin collaboration modules, simulate the impact of optimization strategies using twin pre-simulation technology, establish energy optimization control analysis and execution modules, update the optimization control strategy library in real time, evaluate the optimization effect through three-dimensional feedback values, and provide objective decision-making basis.

Benefits of technology

It achieves a balance between energy and computing resources while ensuring the level of business services, reduces offline debugging time, lowers the risk of core business interruption, enhances system resilience and stability, provides objective basis for selecting optimization control strategies, and avoids subjective bias.

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Abstract

The invention relates to the technical field of data center management, in particular to an intelligent optimization control system for data center energy management, which realizes cross-domain dynamic linkage by constructing energy, network and business three-side collaborative twinbodies, balances energy and computing power resources while guaranteeing business service levels, avoids global loss of local optimization, and improves the service quality. By using the twinborn rehearsal technology, the system can simulate the whole-process influence of different optimization strategies in a virtual space, and through a cooperative fault processing mechanism of a service and network side twinborn body, the system constructs a'fault early warning-load transfer-energy consumption compensation 'closed loop, thereby greatly reducing the risk of core service interruption, and improving the reliability of the system. The system toughness and the stable operation capability of optimization control in an extreme scene are enhanced, a contribution degree, reputation and benefit evaluation method is provided, an abstract optimization effect is converted into a comparable numerical system, an objective and explainable decision basis is provided for selection of an optimization control strategy, and subjective deviation driven by experience is avoided.
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