Intelligent induction type computer hardware heat dissipation control system

Abstract

The invention discloses an intelligent induction type computer hardware heat dissipation control system, belongs to the technical field of computer heat dissipation, and effectively prevents overheating and guarantees the stability and the service life of hardware by monitoring the temperature change of the hardware in real time and responding to heat generation in time. The system control unit automatically optimizes the heat dissipation mode according to the temperature data, the heat dissipation efficiency is improved, and energy waste is reduced. The self-adaptive adjustment algorithm further optimizes the heat dissipation strategy according to the use mode and historical temperature data, and the performance and the energy-saving effect are improved. The user interface allows personalized setting of temperature thresholds and heat dissipation preferences, enhancing experience. The environment temperature detection unit accurately adjusts the heat dissipation state, the display module displays the temperature and the working state in real time, and monitoring management is facilitated. The system has remarkable advantages in the aspects of heat dissipation efficiency, energy conservation, consumption reduction and user experience.

Description

Technical Field

[0001] The invention belongs to the technical field of computer heat dissipation, and in particular relates to an intelligent induction type computer hardware heat dissipation control system. Background Art

[0002] As computer hardware performance continues to improve, the heat it generates also increases accordingly, and overheating becomes a key factor affecting hardware stability and service life. Traditional cooling solutions often use fans with fixed speeds or passive cooling methods, which cannot be effectively adjusted according to the actual temperature changes of the hardware, resulting in low cooling efficiency or excessive cooling causing energy waste. In addition, users have personalized needs for the temperature control and cooling effects of computer hardware, but the existing technology lacks an intelligent cooling control system that can achieve precise control and user-defined settings.

[0003] Therefore, developing an intelligent sensing computer hardware cooling control system that can monitor hardware temperature in real time and automatically adjust the working status of the cooling device, while allowing users to set cooling parameters according to personal preferences, is of great significance for improving cooling efficiency, saving energy and reducing consumption, and enhancing user experience. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent inductive computer hardware heat dissipation control system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: an intelligent inductive computer hardware heat dissipation control system, characterized in that it includes:

[0006] (a) a temperature sensing module, the module being configured to detect and monitor temperature changes of computer hardware in real time;

[0007] (b) a control unit, electrically connected to the temperature sensing module and configured with a processor for receiving temperature data from the temperature sensing module and adjusting the working state of the heat dissipation device according to the data;

[0008] (c) a heat dissipation device, electrically connected to the control unit and responding to an instruction of the control unit to perform a heat dissipation operation;

[0009] (d) a power management module configured to provide stable power to the temperature sensing module, the control unit and the heat dissipation device;

[0010] (e) a communication interface configured to enable the control unit to communicate with an external device so as to receive external control instructions or send system status information to the external device.

[0011] Preferably, the temperature sensing module further comprises at least one thermistor sensor configured to accurately measure the temperature of the computer hardware and provide accurate temperature readings.

[0012] Preferably, the control unit comprises a microprocessor which is configured with a memory and a preset algorithm and can automatically calculate and determine the optimal working mode of the heat dissipation device according to the received temperature data.

[0013] Preferably, the heat dissipation device comprises at least one fan and a heat sink, wherein the rotation speed of the fan is dynamically adjusted by the control unit according to real-time temperature data to achieve efficient heat dissipation.

[0014] Preferably, it also includes a display module, which is configured to display the current temperature data and the working status of the heat dissipation device in real time for user monitoring.

[0015] Preferably, the control unit also includes an adaptive adjustment algorithm for automatically optimizing the heat dissipation strategy according to the usage pattern and historical temperature data of the computer hardware.

[0016] Preferably, the system further comprises an ambient temperature detection unit, which is connected to the control unit and is used to monitor the temperature of the environment in which the computer is located, so that the control unit can adjust the working state of the heat dissipation device according to the comprehensive information of the ambient temperature and the hardware temperature.

[0017] Preferably, the system further comprises a user interface, which allows the user to manually set temperature thresholds and cooling preferences, wherein the control unit will consider these user settings as parameters for automatically adjusting the cooling strategy.

[0018] Preferably, the core goal of the adaptive adjustment algorithm is to automatically optimize the heat dissipation strategy according to the real-time temperature data and historical temperature information to achieve efficient and stable heat dissipation performance. The algorithm usually adopts the PID (proportional-integral-differential) control algorithm as the basic framework, and adjusts its parameters in real time to adapt to different temperature changes. In the PID control algorithm, the output of the controller (i.e., the working state adjustment amount of the heat dissipation device) is determined by the sum of the deviation (e), the integral of the deviation (∫e dt) and the differential of the deviation (de / dt).

[0019] Specifically:

[0020] Proportional term (P): Proportional to the current deviation, used to instantly reflect the difference between the current temperature and the target temperature.

[0021] Integral term (I): is proportional to the accumulation of deviation over time and helps to eliminate steady-state errors.

[0022] Differential term (D): Proportional to the rate of change of the deviation, it can predict the trend of temperature change and make adjustments in advance.

[0023] Therefore, the adaptive adjustment algorithm can be formalized as the following formula:

[0024]

[0025] Where u(t) is the output of the controller, e(t) is the deviation between the current temperature and the target temperature, and K p , K i and K d They are proportional constant, integral constant and differential constant that need to be adaptively adjusted. In order to achieve adaptive adjustment of these parameters, the system will dynamically update K based on historical temperature data and current temperature change trends using specific rules or machine learning models. p , K i and K d For example, if the system detects a rapid increase in temperature, it may increase |K p and K d | value to speed up the heat dissipation reaction; conversely, if the temperature is stable near the target value, K may be increased i | to reduce the steady-state error.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The system can respond to the heat generation of the hardware in a timely manner by real-time monitoring of the temperature changes of the computer hardware, thereby effectively preventing the occurrence of overheating problems and ensuring the stability and service life of the hardware. Secondly, the control unit adopted by the system can automatically calculate and determine the optimal working mode of the heat dissipation device according to the temperature data, realize the precise control of the heat dissipation process, and avoid the low heat dissipation efficiency or energy waste caused by excessive heat dissipation due to the fixed speed fan or passive heat dissipation method in the traditional heat dissipation scheme. In addition, the adaptive adjustment algorithm of the system can automatically optimize the heat dissipation strategy according to the use mode of the computer hardware and the historical temperature data, further improving the heat dissipation efficiency and energy saving and consumption reduction effects. At the same time, the design of the user interface enables the user to set the temperature threshold and heat dissipation preference according to their personalized needs, thereby enhancing the user experience. The addition of the ambient temperature detection unit enables the system to comprehensively consider the comprehensive information of the ambient temperature and the hardware temperature to adjust the working state of the heat dissipation device, thereby improving the accuracy and intelligence of the heat dissipation control. Finally, the real-time display function of the display module enables the user to intuitively understand the current temperature data and the working state of the heat dissipation device, which is convenient for the user to monitor and manage. In summary, the intelligent induction computer hardware heat dissipation control system of the present invention has significant beneficial effects in improving heat dissipation efficiency, energy saving and consumption reduction, and improving user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a hardware diagram of the present invention;

[0029] Figure 2 It is a system diagram of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] See also Figure 1-Figure 2 The present invention provides an intelligent inductive computer hardware heat dissipation control system, which is characterized by comprising:

[0032] (a) a temperature sensing module, the module being configured to detect and monitor temperature changes of computer hardware in real time;

[0033] (b) a control unit, electrically connected to the temperature sensing module and configured with a processor for receiving temperature data from the temperature sensing module and adjusting the working state of the heat dissipation device according to the data;

[0034] (c) a heat dissipation device, electrically connected to the control unit and responding to an instruction of the control unit to perform a heat dissipation operation;

[0035] (d) a power management module configured to provide stable power to the temperature sensing module, the control unit and the heat dissipation device;

[0036] (e) a communication interface configured to enable the control unit to communicate with an external device so as to receive external control instructions or send system status information to the external device.

[0037] Furthermore, this comprehensive configuration enables the system to monitor the hardware temperature in real time and automatically adjust the working state of the heat dissipation device through the control unit, thereby effectively avoiding the occurrence of overheating problems and ensuring the stability and service life of the hardware. In addition, communicating with external devices through the communication interface increases the interactivity and flexibility of the system, allowing users or external systems to conduct remote monitoring and management, improving the user experience and the practicality of the system.

[0038] In this embodiment, the temperature sensing module further includes at least one thermistor sensor, which is configured to accurately measure the temperature of the computer hardware and provide accurate temperature readings.

[0039] Furthermore, this high-precision temperature detection capability ensures that the system can accurately respond to the actual heat generation of the hardware and adjust the cooling strategy in time to avoid overheating or unnecessary energy waste caused by inaccurate temperature detection. Accurate temperature readings are the key to achieving efficient heat dissipation and energy saving, and are essential to improving the performance of the entire cooling system.

[0040] In this embodiment, the control unit includes a microprocessor, which is configured with a memory and a preset algorithm, and can automatically calculate and determine the optimal working mode of the heat dissipation device according to the received temperature data.

[0041] Furthermore, this intelligent design enables the system to dynamically adapt to different temperature changes and automatically optimize the heat dissipation strategy, avoiding the energy waste caused by low heat dissipation efficiency or excessive heat dissipation caused by fixed speed fans or passive heat dissipation in traditional heat dissipation solutions. Through the introduction of intelligent algorithms, the heat dissipation process is more accurate and efficient, greatly improving heat dissipation performance and energy utilization.

[0042] In this embodiment, the heat dissipation device includes at least one fan and a heat sink, wherein the rotation speed of the fan is dynamically adjusted by the control unit according to real-time temperature data to achieve efficient heat dissipation.

[0043] Furthermore, this design allows the system to flexibly adjust the heat dissipation intensity according to actual needs, which not only ensures efficient heat dissipation but also avoids unnecessary energy consumption. The ability to dynamically adjust the fan speed enables the system to maintain the best heat dissipation effect under different operating conditions, while saving energy and reducing noise pollution.

[0044] In this embodiment, a display module is also included, and the display module is configured to display the current temperature data and the working status of the heat dissipation device in real time to facilitate user monitoring.

[0045] Furthermore, this feature provides users with an intuitive means of system monitoring, enhancing their understanding and control of system operation. Real-time temperature and status information display enables users to promptly identify potential cooling problems and adjust settings as needed, thereby improving system reliability and user satisfaction.

[0046] In this embodiment, the control unit also includes an adaptive adjustment algorithm for automatically optimizing the heat dissipation strategy according to the usage pattern and historical temperature data of the computer hardware.

[0047] Furthermore, this self-learning capability enables the system to continuously optimize heat dissipation performance based on long-term data accumulation and adapt to different usage environments and user needs. The application of adaptive algorithms significantly improves heat dissipation efficiency and energy saving and consumption reduction, while also reducing the need for manual adjustments by users, making the system more intelligent and user-friendly.

[0048] In this embodiment, the system also includes an ambient temperature detection unit, which is connected to the control unit and is used to monitor the temperature of the computer environment so that the control unit can adjust the working state of the heat dissipation device according to the comprehensive information of the ambient temperature and the hardware temperature.

[0049] Furthermore, this feature enables the system to adjust the working state of the heat dissipation device by comprehensively considering the comprehensive information of ambient temperature and hardware temperature, thus improving the accuracy and intelligence of heat dissipation control. Through real-time monitoring of ambient temperature, the system can more accurately predict and respond to the heat dissipation needs of the hardware, thereby maintaining the best operating efficiency and stability under various environmental conditions.

[0050] In this embodiment, the system further comprises a user interface, which allows the user to manually set the temperature threshold and the heat dissipation preference, wherein the control unit will consider these user settings as parameters for automatically adjusting the heat dissipation strategy.

[0051] Furthermore, this design fully considers the personalized needs of users and enhances the user experience. Users can customize the cooling parameters according to their specific usage and comfort requirements, making the cooling system more in line with personal preferences and usage habits. The user-friendly interface allows users to easily adjust settings, improving the flexibility and applicability of the system.

[0052] The working principle and use process of the present invention:

[0053] First, the temperature sensing module detects and monitors the temperature changes of the computer hardware in real time. The module includes at least one thermistor sensor for accurately measuring the temperature of the computer hardware and providing accurate temperature readings. These temperature data are transmitted to the control unit. The control unit includes a microprocessor, which is configured with a memory and a preset algorithm, and can automatically calculate and determine the optimal working mode of the heat dissipation device according to the received temperature data. Secondly, the heat dissipation device is electrically connected to the control unit and responds to the instructions of the control unit to perform heat dissipation operations. The heat dissipation device includes at least one fan and a heat sink, wherein the speed of the fan is dynamically adjusted by the control unit according to the real-time temperature data to achieve efficient heat dissipation. This dynamic adjustment method can avoid the energy waste caused by low heat dissipation efficiency or excessive heat dissipation caused by fixed speed fans or passive heat dissipation methods in traditional heat dissipation solutions. In addition, the power management module provides stable power to the temperature sensing module, the control unit and the heat dissipation device to ensure the normal operation of the system. The communication interface enables the control unit to communicate with external devices. In order to receive external control instructions or send system status information to external devices, the control unit also includes an adaptive adjustment algorithm for automatically optimizing the heat dissipation strategy according to the usage pattern of the computer hardware and historical temperature data. This adaptive adjustment algorithm further improves the heat dissipation efficiency and energy saving and consumption reduction effects. In addition, the system also includes an ambient temperature detection unit, which is connected to the control unit and is used to monitor the temperature of the computer environment. In this way, the control unit can adjust the working state of the heat dissipation device according to the comprehensive information of the ambient temperature and the hardware temperature, thereby improving the accuracy and intelligence of the heat dissipation control. The design of the user interface allows users to set temperature thresholds and heat dissipation preferences according to their own personalized needs. These user-set parameters will be considered by the control unit as the basis for automatically adjusting the heat dissipation strategy. Finally, the display module displays the current temperature data and the working state of the heat dissipation device in real time for user monitoring. This real-time display function allows users to intuitively understand the current temperature data and the working state of the heat dissipation device, making it convenient for users to monitor and manage.

[0054] The electronic components and modules used in the invention can be parts commonly used in the market and can realize the specific functions in this case, and the specific models and sizes can be selected and adjusted according to actual needs.

[0055] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent inductive computer hardware heat dissipation control system, characterized in that: include: (a) a temperature sensing module, the module being configured to detect and monitor temperature changes of computer hardware in real time; (b) a control unit, electrically connected to the temperature sensing module and configured with a processor for receiving temperature data from the temperature sensing module and adjusting the working state of the heat dissipation device according to the data; (c) a heat dissipation device, electrically connected to the control unit and responding to an instruction of the control unit to perform a heat dissipation operation; (d) a power management module configured to provide stable power to the temperature sensing module, the control unit and the heat dissipation device; (e) a communication interface configured to enable the control unit to communicate with an external device so as to receive external control instructions or send system status information to the external device.

2. The intelligent inductive computer hardware heat dissipation control system according to claim 1, characterized in that: The temperature sensing module further includes at least one thermistor sensor configured to accurately measure the temperature of the computer hardware and provide accurate temperature readings.

3. The intelligent inductive computer hardware heat dissipation control system according to claim 2, characterized in that: The control unit comprises a microprocessor which is configured with a memory and a preset algorithm and can automatically calculate and determine the optimal working mode of the heat dissipation device according to the received temperature data.

4. The intelligent induction computer hardware heat dissipation control system according to claim 3, characterized in that: The heat dissipation device includes at least one fan and a heat sink, wherein the rotation speed of the fan is dynamically adjusted by a control unit according to real-time temperature data to achieve efficient heat dissipation.

5. The intelligent inductive computer hardware heat dissipation control system according to claim 4, characterized in that: It also includes a display module, which is configured to display current temperature data and the working status of the heat dissipation device in real time for user monitoring.

6. The intelligent inductive computer hardware heat dissipation control system according to claim 5, characterized in that: The control unit also includes an adaptive adjustment algorithm for automatically optimizing the cooling strategy based on the usage pattern and historical temperature data of the computer hardware.

7. The intelligent inductive computer hardware heat dissipation control system according to claim 6, characterized in that: The system also includes an environment temperature detection unit, which is connected to the control unit and is used to monitor the temperature of the environment where the computer is located, so that the control unit can adjust the working state of the heat dissipation device according to the comprehensive information of the environment temperature and the hardware temperature.

8. The intelligent inductive computer hardware heat dissipation control system according to claim 7, characterized in that: The system also includes a user interface that allows a user to manually set temperature thresholds and cooling preferences, wherein the control unit will take these user settings into account as parameters for its automatic adjustment of the cooling strategy.

9. The method of an intelligent inductive computer hardware heat dissipation control system according to claims 1-8, characterized in that: The method comprises the following steps: (a) Real-time detection of the temperature of computer hardware through the temperature sensing module; (b) transmitting the detected temperature data to a control unit; (c) the control unit processes the temperature data according to a preset algorithm and issues an instruction to adjust the working state of the heat dissipation device; (d) the heat dissipation device performs heat dissipation operation according to the instruction of the control unit; (e) receiving external control instructions or sending status information through the communication interface; (f) the control unit automatically optimizes the heat dissipation strategy according to an adaptive adjustment algorithm; (g) an environmental temperature detection unit monitors the temperature of the environment where the computer is located and provides the data to the control unit; (h) The user sets temperature thresholds and cooling preferences through the user interface; (i) The display module displays the current temperature data and the working status of the heat dissipation device in real time for user monitoring.

10. An intelligent induction computer hardware heat dissipation control system according to claims 1-8, characterized in that: The core goal of the adaptive adjustment algorithm is to automatically optimize the heat dissipation strategy based on real-time temperature data and historical temperature information to achieve efficient and stable heat dissipation performance. The algorithm usually uses the PID (proportional-integral-differential) control algorithm as the basic framework, and adjusts its parameters in real time to adapt to different temperature changes. In the PID control algorithm, the output of the controller (i.e., the working state adjustment amount of the heat dissipation device) is determined by the sum of the deviation (e), the integral of the deviation (∫e dt) and the differential of the deviation (de / dt). Specifically: Proportional term (P): Proportional to the current deviation, used to instantly reflect the difference between the current temperature and the target temperature. Integral term (I): is proportional to the accumulation of deviation over time and helps to eliminate steady-state errors. Differential term (D): Proportional to the rate of change of the deviation, it can predict the trend of temperature change and make adjustments in advance. Therefore, the adaptive adjustment algorithm can be formalized as the following formula: Where u(t) is the output of the controller, e(t) is the deviation between the current temperature and the target temperature, and K p , K i and K d They are proportional constant, integral constant and differential constant that need to be adaptively adjusted. In order to achieve adaptive adjustment of these parameters, the system will dynamically update K based on historical temperature data and current temperature change trends using specific rules or machine learning models. p , K i and K d For example, if the system detects a rapid increase in temperature, it may increase |K p and K d | value to speed up the heat dissipation reaction; conversely, if the temperature is stable near the target value, K may be increased i to reduce the steady-state error.

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