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. Overheating has become a key factor affecting hardware stability and lifespan. Traditional cooling solutions often use fixed-speed fans or passive cooling methods, which cannot effectively adjust to the actual temperature changes of the hardware, resulting in inefficient cooling or excessive cooling that wastes energy. In addition, users have personalized requirements for temperature control and cooling effects of computer hardware, but existing technologies lack intelligent cooling control systems 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 object 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-mentioned 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, which is 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 temperature 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 precisely measure the temperature of the computer hardware and provide accurate temperature readings.

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

[0013] Preferably, 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.

[0014] Preferably, it further comprises 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 further comprises 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 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.

[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 based on real-time temperature data and historical temperature information to achieve efficient and stable heat dissipation performance. This algorithm generally uses the PID (proportional-integral-derivative) control algorithm as its basic framework, and adapts to different temperature changes by adjusting its parameters in real time. In the PID control algorithm, the controller output (i.e., the operating 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 gap between the current temperature and the target temperature.

[0021] Integral term (I): Proportional to the accumulation of deviation over time, it 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 the 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 using specific rules or machine learning models based on historical temperature data and current temperature change trends. p , K i and K d For example, when the system detects a rapid increase in temperature, it may increase |K p and K d | value to speed up the heat dissipation reaction; on the contrary, 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 monitors the temperature changes of computer hardware in real time and can respond to the heat generation of the hardware in a timely manner, 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 operating mode of the heat dissipation device based on the temperature data, thereby achieving precise control of the heat dissipation process and avoiding the low heat dissipation efficiency or energy waste caused by excessive heat dissipation due to fixed speed fans or passive heat dissipation in traditional heat dissipation solutions. In addition, the system's adaptive adjustment algorithm can automatically optimize the heat dissipation strategy based on the usage pattern and historical temperature data of the computer hardware, further improving the heat dissipation efficiency and energy saving and consumption reduction effects. At the same time, the user interface design allows users to set temperature thresholds and heat dissipation preferences according to their personalized needs, enhancing the user experience. The addition of the ambient temperature detection unit enables the system to comprehensively consider the comprehensive information of ambient temperature and 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 allows users to intuitively understand the current temperature data and the working state of the heat dissipation device, facilitating user monitoring and management. In summary, the intelligent sensing 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 enhancing user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a hardware diagram of the present invention. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0030] See also Figure 1 The present invention provides an intelligent inductive computer hardware heat dissipation control system, which is characterized by comprising:

[0031] (a) a temperature sensing module, which is configured to detect and monitor temperature changes of computer hardware in real time;

[0032] (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 temperature data;

[0033] (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;

[0034] (d) a power management module configured to provide stable power to the temperature sensing module, the control unit, and the heat dissipation device;

[0035] (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.

[0036] Furthermore, this integrated configuration enables the system to monitor hardware temperature in real time and automatically adjust the operating status of the heat dissipation device through the control unit, effectively preventing overheating and ensuring hardware stability and service life. Furthermore, communication with external devices through the communication interface increases the system's interactivity and flexibility, allowing users or external systems to remotely monitor and manage the system, improving the user experience and system practicality.

[0037] 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.

[0038] Furthermore, this high-precision temperature sensing capability ensures the system accurately responds to the hardware's actual heat generation, allowing timely adjustments to cooling strategies to avoid overheating or unnecessary energy waste caused by inaccurate temperature sensing. Accurate temperature readings are key to achieving efficient cooling and energy savings, and are crucial to improving the performance of the entire cooling system.

[0039] In this embodiment, the control unit includes a microprocessor configured with a memory and a preset algorithm, which can automatically calculate and determine the optimal working mode of the heat dissipation device based on the received temperature data.

[0040] Furthermore, this intelligent design enables the system to dynamically adapt to varying temperature changes and automatically optimize cooling strategies, avoiding the inefficient cooling and energy waste caused by excessive cooling, often associated with fixed-speed fans or passive cooling methods. The introduction of intelligent algorithms makes the cooling process more precise and efficient, significantly improving cooling performance and energy efficiency.

[0041] 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.

[0042] Furthermore, this design allows the system to flexibly adjust cooling intensity based on actual needs, ensuring efficient heat dissipation while avoiding unnecessary energy consumption. The ability to dynamically adjust fan speed allows the system to maintain optimal cooling under varying operating conditions, while also saving energy and reducing noise pollution.

[0043] In this embodiment, a display module is further included, which is configured to display current temperature data and the working status of the heat dissipation device in real time for user monitoring.

[0044] Furthermore, this feature provides users with intuitive system monitoring, enhancing their understanding and control over system health. Real-time temperature and status information allows users to identify potential cooling issues and adjust settings as needed, thereby improving system reliability and user satisfaction.

[0045] In this embodiment, the control unit further includes an adaptive adjustment algorithm for automatically optimizing the heat dissipation strategy based on the usage pattern and historical temperature data of the computer hardware.

[0046] Furthermore, this self-learning capability enables the system to continuously optimize cooling performance based on long-term data accumulation, adapting to different usage environments and user needs. The application of adaptive algorithms significantly improves cooling efficiency and energy savings, while also reducing the need for manual adjustments, making the system more intelligent and user-friendly.

[0047] 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 based on the comprehensive information of the ambient temperature and hardware temperature.

[0048] Furthermore, this feature enables the system to adjust the cooling device's operating state based on a combination of ambient and hardware temperature information, improving the accuracy and intelligence of cooling control. By monitoring ambient temperature in real time, the system can more accurately predict and respond to hardware cooling needs, maintaining optimal operating efficiency and stability under various environmental conditions.

[0049] In this embodiment, the system further includes a user interface that 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.

[0050] Furthermore, this design fully considers the user's individual needs and enhances the user experience. Users can customize cooling parameters based on their specific usage and comfort requirements, making the cooling system more tailored to their preferences and usage habits. The user-friendly interface allows users to easily adjust settings, enhancing the system's flexibility and applicability.

[0051] The working principle and use process of the present invention:

[0052] 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. It can automatically calculate and determine the optimal working mode of the heat dissipation device based on 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 fan speed 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 low heat dissipation efficiency or energy waste caused by excessive heat dissipation due to 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, control unit and 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 and historical temperature data of the computer hardware. 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 personalized needs. These user-set parameters will be considered by the control unit as the basis for its automatic adjustment of 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.

[0053] The electronic components and modules used in the present invention may be parts commonly used in the market that can realize the specific functions in this case, and the specific models and sizes can be selected and adjusted according to actual needs.

[0054] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent inductive computer hardware heat dissipation control system, characterized in that: include: (a) a temperature sensing module, which is 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 precisely 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 includes a microprocessor 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 inductive 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 heat dissipation 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 ambient temperature detection unit connected to the control unit for monitoring 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.

8. The intelligent inductive computer hardware heat dissipation control system according to claim 7, characterized in that: The system further comprises 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 computer hardware temperature 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 instructions for adjusting the working state of the heat dissipation device; (d) the heat dissipation device performs heat dissipation operations according to the instructions 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 the adaptive adjustment algorithm; (g) an ambient temperature detection unit that monitors the temperature of the environment in which 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 inductive 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 cooling strategy based on real-time temperature data and historical temperature information to achieve efficient and stable cooling performance. This algorithm typically uses the PID (Proportional-Integral-Derivative) control algorithm as its basic framework, adjusting its parameters in real time to adapt to different temperature changes. In the PID control algorithm, the controller output (i.e., the operating state adjustment of the cooling device) is determined by the sum of the error (e), the integral of the error (∫e dt), and the differential of the error (de / dt). Specifically: Proportional term (P): Proportional to the current deviation, used to instantly reflect the gap between the current temperature and the target temperature. Integral term (I): Proportional to the accumulation of deviation over time, it 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 the 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 using specific rules or machine learning models based on historical temperature data and current temperature change trends. p , K i and K d For example, when the system detects a rapid increase in temperature, it may increase |K p and K d | value to speed up the heat dissipation reaction; on the contrary, if the temperature is stable near the target value, K may be increased i to reduce the steady-state error.

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