An adaptive cooling control method for industrial personal computer based on thermal response neural network

By constructing a coupled control LTCs model and optimizing the heat dissipation control parameters of the industrial control computer, the problems of temperature control lag and energy waste under multiple heat source coupling conditions were solved, and stability and energy efficiency were improved.

CN122195233APending Publication Date: 2026-06-12KONGXUN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
KONGXUN TECH (SHENZHEN) CO LTD
Filing Date
2026-03-30
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing industrial computer heat dissipation control methods lack unified modeling of the coupling relationship of multiple heat sources, making it difficult for the temperature control process to reflect the actual thermal evolution law. The control strategy has lag and energy waste, and lacks a continuous optimization mechanism.

Method used

A coupled control LTCs model based on thermal sensing neural network is constructed. By using the continuous-time thermal state input sequence and the heat source coupling structure, dynamic time constant and thermal evolution trajectory are generated, heat dissipation control parameters are optimized, and continuous updating thermal state evolution calculation is realized.

Benefits of technology

It improves the foresight and stability of temperature control, reduces the amplitude of temperature fluctuations, enhances energy efficiency, and improves the response continuity and reliability of heat dissipation control through a closed-loop regulation mechanism.

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Abstract

The application discloses a kind of based on thermal induction neural network's industrial computer adaptive heat dissipation control method, comprising the following steps: obtaining the multi-source heat state data in the operation process of industrial computer, generates continuous time heat state input sequence;Continuous time heat state input sequence is mapped as heat state subunit, generates heat source coupling structure representation;Based on continuous time heat state input sequence and heat source coupling structure representation, construct coupling control LTCs model;Based on heat source coupling structure representation, generate multi-heat source coupling heat state representation;Based on multi-heat source coupling heat state representation, generate dynamic time constant and generate heat evolution trajectory;Based on heat evolution trajectory and dynamic time constant, generate target control parameter set;Based on target control parameter set, execute heat dissipation control operation, generate continuously updated heat state evolution result.The application realizes stable control and energy consumption constraint optimization facing heat evolution trajectory.
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