AI-based centralized air conditioner efficient machine room control method and system

By carefully monitoring local temperature changes and air flow vectors in the computer room, identifying heat accumulation areas, and optimizing air supply and exhaust systems, the problems of heat accumulation and air reflux in the existing technology are solved, and efficient energy consumption management and temperature regulation of the air conditioning system are achieved.

CN120456496APending Publication Date: 2025-08-08GUANGZHOU SJ ENERGY SAVING TECH CO LTD
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Patent Information

Application Number
CN202510429622.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-08
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

In the prior art, local temperature fluctuations in the computer room are insufficient, and air flow vector calculations are not included in the temperature control optimization system, which makes it difficult to accurately identify the heat accumulation area, and lacks detailed analysis of the temperature difference calculations at the intersection of hot and cold air flows. The air supply angle and air volume adjustment rely on static parameters. The air flow path is difficult to accurately match the equipment's heat dissipation needs, increase the probability of air reflux, reduce the refrigeration efficiency, exhaust control fails to effectively adjust dynamically with the heat diffusion path, and wind direction adjustment depends on fixed strategies. The heat emission in high-temperature areas is uneven, which affects the overall heat discharge effect. The calculation of refrigeration demand fails to fully consider the temperature change rate in a short time, resulting in insufficient air coverage or excessive air supply in local areas, increasing system energy consumption.

Method used

By obtaining the temperature distribution and equipment temperature data of the machine room, identifying the temperature gradient and airflow direction, calculating the airflow velocity and heat accumulation area, adjusting the air supply angle and air volume, optimizing the exhaust mode, calculating the refrigeration demand in combination with the equipment load data, realizing dynamic adjustment of the air supply and air exhaust system, optimizing the air flow path and air volume, ensuring the accurate matching of the air supply volume with the equipment load, and reducing energy consumption.

Benefits of technology

It improves the identification ability of the heat accumulation area, reduces the return of the air conditioner, improves the conveying efficiency, optimizes the heat discharge efficiency, ensures the accurate matching of the air supply volume with the equipment load, reduces energy consumption, and improves the adaptive regulation capability and energy efficiency of the air conditioner system.

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Abstract

The invention relates to the technical field of self-adaptive control, in particular to an AI-based centralized air-conditioning efficient machine room control method and system, which comprises the following steps: acquiring temperature distribution of a machine room, calling temperature data of an air supply outlet, an air outlet and equipment, identifying temperature gradient, calculating airflow direction and wind speed, screening temperature abnormal areas, and analyzing the relationship between temperature fluctuation and equipment operation. And acquiring a temperature flow state. According to the invention, through fine monitoring of local temperature changes and air flow vectors in the machine room, the recognition capability of a heat accumulation area, accurate analysis of a cold and hot air flow intersection and dynamic adjustment of an air supply angle and an air volume are improved, cold air backflow is effectively reduced, the conveying efficiency is improved, exhaust control is combined with heat diffusion path optimization, and the heat extraction efficiency is improved; real-time calculation of the short-time temperature change rate ensures accurate matching of the air supply amount and the equipment load, energy consumption is reduced, optimization of an air supply system and an air exhaust system is achieved through comprehensive state analysis, and the self-adaptive adjusting capacity and energy efficiency of the air conditioning system are improved.
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