Container data center power supply and distribution dynamic scheduling method based on Al prediction

By combining AI prediction models and high-precision temperature acquisition modules, the power supply and heat dissipation systems of container data centers are adjusted in real time, solving the problem of high temperatures inside the container data centers and achieving dynamic temperature control and energy consumption reduction.

CN122890428APending Publication Date: 2026-10-09QINGSHU ZHIYUAN SYSTEM INTEGRATION (JIANGSU) CO LTD
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Patent Information

Application Number
CN202610818583.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-08
Publication Date
2026-10-09

AI Technical Summary

Technical Problem

The high power density and heat generation of IT equipment inside containerized data centers, coupled with their compact space and limited ventilation and heat dissipation conditions, make it easy for the working environment temperature to rise, potentially leading to safety incidents.

Method used

An AI prediction model is built to divide the power supply and distribution scheduling cycle into multiple heat dissipation zones, and heat dissipation and power supply and distribution commands are fine-tuned in real time. Combined with a high-precision temperature acquisition module, dual detection is performed to dynamically adjust the power supply and heat dissipation system.

Benefits of technology

Effectively regulate the temperature of container data centers, reduce safety accidents, lower energy consumption, and improve the flexibility and security of power supply systems.

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Abstract

The application discloses a container data center power supply and distribution dynamic scheduling method based on Al prediction applied to the field of container data center power supply and distribution, a period of power supply and distribution scheduling is divided into multiple heat dissipation intervals, heat dissipation instructions and power supply and distribution scheduling instructions are real-time fine-tuned according to the heat dissipation effect of the multiple heat dissipation intervals, power supply demand of the heat dissipation system is reduced, normal work of container data center equipment is maintained, when the heat dissipation system reaches the limit, current processing work is classified, only work needing real-time processing is processed, the rest of the work is suspended, the energy consumption of the container data center is reduced while the heat generation of the container data center is reduced, the temperature of the container data center is reasonably regulated and controlled through double regulation of the power supply and distribution system and the heat dissipation system, and the safety accidents of the container data center are reduced.
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