Data center multi-mode thermal load safety regulation and control method and device

By combining a large language model with a multimodal fusion structure, the problems of multimodal data fusion and security boundary in data center thermal management are solved, realizing multi-objective dynamic optimization and security control of the data center, and improving response speed and equipment security.

CN122094059APending Publication Date: 2026-05-26INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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Patent Information

Application Number
CN202610056792.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-16
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing data center thermal management solutions suffer from difficulties in integrating multimodal data, lack of security boundaries in black-box control, and challenges in cross-target collaborative optimization, resulting in fragmented control logic, delayed response, and security vulnerabilities.

Method used

By adopting a large language model and multimodal fusion structure, a unified multimodal thermal load safety control method is constructed through data preprocessing, semantic representation, trusted action cone generation, and security policy generation. Combined with equipment control limits and industry standards, multi-objective dynamic optimization is achieved.

Benefits of technology

It enables unified perception and security control of multimodal data, improves the response speed and policy flexibility of data centers in complex scenarios, ensures equipment security and business quality, and optimizes energy consumption and thermal management.

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Abstract

The invention relates to the technical field of data center operation and maintenance and intelligent control, and particularly provides a data center multi-mode thermal load safety regulation and control method and device, and the method comprises the following steps: S1, data collection and preprocessing; s2, multi-modal semantic representation is generated; s3, constructing a trusted action cone; s4, generating and executing a security policy; and S5, performing control feedback and strategy iteration. Compared with the prior art, the method can solve the problems that in an existing data center thermal management scheme, multi-modal data is difficult to fuse, black box control does not have a safety boundary, and cross-target collaborative optimization is difficult.
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