Temperature control device and temperature control method for tablet personal computer

By implementing a software-defined temperature control method of dynamic thermal field modeling and multi-objective optimization on tablets, the performance fluctuations and response lag problems of the existing central temperature control system are solved, and higher temperature control accuracy and overall performance are achieved, and power consumption is reduced.

CN120123137AActive Publication Date: 2025-06-10SHENZHEN CONNECT-ME ELECTRONIC CO LTD
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Patent Information

Application Number
CN202510617622.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-14
Publication Date
2025-06-10
Estimated Expiration
2045-05-14

AI Technical Summary

Technical Problem

The existing tablet temperature control system has large performance fluctuations, delayed response, inability to accurately predict local heat diffusion paths, and difficulty in dynamically adjusting the balance between heat dissipation, performance, noise and energy consumption.

Method used

A software-defined temperature control method based on dynamic thermal field modeling and multi-objective optimization is adopted, including perceived data acquisition, data preprocessing and fusion, thermal field prediction, objective function definition, multi-objective optimization algorithm and fuzzy logic decision-making, and the hardware parameters are dynamically adjusted to achieve the optimal temperature control strategy.

Benefits of technology

Through accurate thermal field prediction, reduce temperature fluctuations, improve the stability of the tablet in high load state, reduce the frequency of CPU frequency reduction, enhance the stability of frame rate, improve the temperature control accuracy and overall performance, and achieve lower overall power consumption and smoothness of user experience.

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Abstract

The invention provides a temperature control device and method for a tablet personal computer, and belongs to the technical field of temperature control. The device fuses collected sensing data into a high-dimensional feature vector, and inputs the high-dimensional feature vector and the posture of the tablet personal computer into a thermal field prediction model adopting a convolutional long-short-term memory network; predicting temperature data of each area of the tablet computer, and outputting a predicted thermal field distribution thermodynamic diagram; according to temperature distribution in the thermal field distribution thermodynamic diagram, a target function is defined in combination with the multiple target parameters, and the target function dynamically distributes the weight of each target parameter according to the use environment of the tablet personal computer; and generating a Pareto optimal solution set by adopting a multi-objective optimization algorithm, selecting an optimal temperature control strategy suitable for the current application scene from a plurality of candidate temperature control strategies through a fuzzy logic decision, and adjusting hardware parameters of the tablet computer according to the optimal temperature control strategy. Through accurate thermal field prediction, temperature fluctuation is reduced, and the stability of equipment in a high-load state is improved.
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