Fanless heat dissipation system based on domestic CPU and optimization method thereof

Abstract

The application discloses a fanless heat dissipation system based on a domestic CPU and an optimization method thereof, and belongs to the technical field of passive heat dissipation of equipment. The fanless heat dissipation system comprises the following steps: obtaining temperature data of the domestic CPU, and generating a temperature health index of the domestic CPU; judging whether the current domestic CPU is in an abnormal temperature state according to the temperature health index of the domestic CPU; obtaining state data of a heat dissipation fin and a natural wind input angle value of the heat dissipation fin, establishing a theoretical tilt angle analysis model of the heat dissipation fin, and generating a theoretical tilt angle adjustment value of the heat dissipation fin; obtaining a natural wind output angle value of the heat dissipation fin, establishing an adjustment angle correction model, and generating an adjustment correction value of the tilt angle of the heat dissipation fin; and adjusting the tilt angle of the heat dissipation fin according to the adjustment correction value of the tilt angle of the heat dissipation fin. The application can dynamically adjust the angle of the heat dissipation fin, optimize an air circulation path, ensure that the heat dissipation fin can maximally exchange heat with external air, effectively reduce the temperature of the CPU, improve the heat dissipation effect of the heat dissipation fin, and realize optimization of fanless heat dissipation of the domestic CPU.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of passive heat dissipation of equipment, and particularly relates to a fanless heat dissipation system based on a domestic CPU and an optimization method thereof. BACKGROUND

[0002] With the rapid development of science and technology, the performance of computer hardware, especially central processing units (CPUs), is constantly improving. However, a large amount of heat is generated during the operation of the CPU, which has a great impact on the stability and service life of the equipment. In order to ensure the stable operation of the system, the traditional heat dissipation method usually relies on active heat dissipation devices such as fans. However, while providing effective heat dissipation, fans also increase noise, power consumption and volume.

[0003] In some low-power, compact devices such as embedded systems, ultra-thin laptops and smart devices, due to strict requirements on volume, noise and power consumption, active heat dissipation devices such as fans cannot be effectively applied. At present, some passive heat dissipation designs, such as heat sinks and heat pipes, have been widely used in various devices to reduce CPU temperature through the heat conduction of materials and natural convection heat dissipation.

[0004] However, the design of traditional heat sinks is usually fixed and cannot be dynamically adjusted according to environmental temperature and load conditions, so the heat dissipation effect cannot be optimized under different working conditions. In order to solve this problem, a new idea is proposed for the dynamic adjustment design of heat sinks. SUMMARY

[0005] In view of the deficiencies of the prior art, the application provides a fanless heat dissipation system based on a domestic CPU and an optimization method thereof, which solves the above problems.

[0006] To achieve the above purpose, the application is implemented by the following technical scheme: a fanless heat dissipation optimization method based on a domestic CPU, comprising the following steps:

[0007] Obtain temperature data of the domestic CPU to generate a domestic CPU temperature health index; wherein the temperature data includes real-time temperature value and temperature change value;

[0008] According to the domestic CPU temperature health index, determine whether the current domestic CPU is in a temperature abnormal state;

[0009] If the current domestic CPU is in a temperature abnormal state, obtain the state data of the heat sink and the natural wind input angle value of the heat sink, establish a heat sink theoretical inclination angle analysis model, and generate a heat sink theoretical inclination angle adjustment value; wherein the state data of the heat sink includes the length of the heat sink and the relative gap of the heat sink; the natural wind input angle value of the heat sink refers to the wind direction angle value of the natural wind blowing to the heat sink;

[0010] Based on the heat dissipation fin theory inclination angle adjustment value, the natural wind output angle value of the heat dissipation fin is obtained, the adjustment angle correction model is established, and the heat dissipation fin inclination angle adjustment correction value is generated; the natural wind output angle value of the heat dissipation fin refers to the natural wind direction angle value blown out from the heat dissipation fin;

[0011] According to the heat dissipation fin inclination angle adjustment correction value, the inclination angle of the heat dissipation fin is adjusted.

[0012] On the basis of the above technical solutions, the application further provides the following optional technical solutions:

[0013] Further technical solutions: the generation mode of the CPU temperature health index specifically includes the following steps:

[0014] The real-time temperature value and the temperature change value of the domestic CPU are obtained;

[0015] According to the real-time temperature value, a real-time temperature evaluation index is generated;

[0016] According to the temperature change value, a temperature change evaluation index is generated; wherein the temperature change evaluation index refers to the ratio between the difference between the temperature change value and the temperature change threshold value and the temperature change threshold value;

[0017] According to the real-time temperature evaluation index and the temperature change evaluation index, a health analysis model is established, and a domestic CPU temperature health index is generated.

[0018] Further technical solutions: the generation mode of the real-time temperature evaluation index is specifically:

[0019] The real-time temperature value is compared with the standard operating temperature range;

[0020] If the real-time temperature value is not within the standard operating temperature range, it is determined that the temperature of the current domestic CPU is not within the normal range;

[0021] When the temperature of the current domestic CPU is not within the standard operating temperature range, a real-time temperature deviation value is generated according to the real-time temperature value and the near end point of the standard operating temperature range; wherein the real-time temperature deviation value refers to the difference between the real-time temperature value and the near end point of the standard operating temperature range;

[0022] According to the real-time temperature deviation value and the near end point of the standard operating temperature range, a real-time temperature evaluation index is generated; wherein the real-time temperature evaluation index refers to the ratio between the real-time temperature deviation value and the near end point of the standard operating temperature range.

[0023] Further technical solutions: the expression of the health analysis model is specifically:

[0024] ;

[0025] In the expression, Indicates the domestic CPU temperature health index, Indicates the real-time temperature evaluation index, Indicates the temperature change evaluation index.

[0026] Further technical solutions: the generation mode of the theoretical inclination angle adjustment value of the heat dissipation fin specifically includes the following steps:

[0027] Obtain the length of the heat dissipation fin, the relative gap of the heat dissipation fin and the natural wind input angle value of the heat dissipation fin;

[0028] According to the relative gap of the heat dissipation fin and the natural wind input angle value of the heat dissipation fin, the wind-heat dissipation fin contact point distance value is generated;

[0029] According to the wind-heat dissipation fin contact point distance value, it is judged whether the natural wind input angle value of the heat dissipation fin meets the ventilation requirement of the heat dissipation fin;

[0030] If the natural wind input angle value of the heat dissipation fin does not meet the ventilation requirement of the heat dissipation fin, according to the length of the heat dissipation fin and the wind-heat dissipation fin contact point distance value, a heat dissipation fin theoretical inclination angle analysis model is established, and a heat dissipation fin theoretical inclination angle adjustment value is generated.

[0031] Further technical solutions: the generation mode of the wind-heat dissipation fin contact point distance value is specifically:

[0032] Through the formula:

[0033] ;

[0034] The wind-heat dissipation fin contact point distance value L is generated;

[0035] In the formula, h represents the relative gap of the heat dissipation fin, Indicates the natural wind input angle value of the heat dissipation fin, Indicates the vertical length difference between the heat dissipation fins.

[0036] Further technical solutions: the expression of the heat dissipation fin theoretical inclination angle analysis model is specifically:

[0037] ;

[0038] In the expression, Indicates the heat dissipation fin theoretical inclination angle adjustment value, Indicates the heat dissipation fin ventilation requirement evaluation index threshold, h represents the relative gap of the heat dissipation fin, Indicates the natural wind input angle value of the heat dissipation fin.

[0039] Further technical solutions: the generation mode of the fin inclination angle adjustment correction value specifically includes the following steps:

[0040] Obtain the natural wind output angle value of the fin, and generate an outflow angle evaluation index; wherein the outflow angle evaluation index refers to the ratio between the natural wind output angle value of the fin and the maximum natural wind output angle value;

[0041] According to the outflow angle evaluation index, determine whether the natural wind output angle value of the fin meets the outflow demand;

[0042] If the natural wind output angle value of the fin does not meet the outflow demand, an adjustment angle correction model is established, and the theoretical fin inclination angle adjustment value and the outflow angle evaluation index are substituted into the adjustment angle correction model to generate the fin inclination angle adjustment correction value.

[0043] Further technical solutions: the expression of the adjustment angle correction model is specifically:

[0044] ;

[0045] In the expression, represents the fin inclination angle adjustment correction value, represents the theoretical fin inclination angle adjustment value, represents the natural wind output angle value of the fin, represents the maximum natural wind output angle value, and n is a constant.

[0046] A fanless heat dissipation system based on a domestic CPU, the system comprising:

[0047] A temperature state analysis unit for obtaining temperature data of the domestic CPU and generating a domestic CPU temperature health index; wherein the temperature data includes real-time temperature value and temperature change value;

[0048] A temperature state judgment module for determining whether the current domestic CPU is in a temperature abnormal state according to the domestic CPU temperature health index;

[0049] A theoretical adjustment analysis unit, if the current domestic CPU is in a temperature abnormal state, the theoretical adjustment analysis unit is used to obtain state data of the fin and a natural wind input angle value of the fin, establish a theoretical fin inclination angle analysis model, and generate a theoretical fin inclination angle adjustment value; wherein the state data of the fin includes the fin length and the fin relative gap; the natural wind input angle value of the fin refers to the natural wind direction angle value blowing to the fin;

[0050] The adjustment correction unit is used for obtaining a natural wind output angle value of the heat dissipation fin based on the heat dissipation fin theoretical tilt angle adjustment value, establishing an adjustment angle correction model, and generating a heat dissipation fin tilt angle adjustment correction value; the natural wind output angle value of the heat dissipation fin refers to a natural wind direction angle value blown out from the heat dissipation fin;

[0051] The adjustment control module is used for adjusting the tilt angle of the heat dissipation fin according to the heat dissipation fin tilt angle adjustment correction value.

[0052] The application provides a fanless heat dissipation system based on a domestic CPU and an optimization method thereof, which has the following beneficial effects compared with the prior art:

[0053] The application generates a heat dissipation fin theoretical tilt angle adjustment value by analyzing the natural wind input angle value of the heat dissipation fin, corrects the heat dissipation fin theoretical tilt angle adjustment value according to the natural wind output angle value of the heat dissipation fin, generates a heat dissipation fin tilt angle adjustment correction value, dynamically adjusts the angle of the heat dissipation fin according to the heat dissipation fin tilt angle adjustment correction value, optimizes the air flow path, ensures that the heat dissipation fin can maximize heat exchange with external air, effectively reduces the CPU temperature, improves the heat dissipation effect of the heat dissipation fin, and realizes the optimization of the fanless heat dissipation of the domestic CPU. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 The application provides a flowchart of the fanless heat dissipation optimization method based on the domestic CPU.

[0055] Figure 2 The application provides a flowchart of step S10.

[0056] Figure 3 The application provides a flowchart of step S30.

[0057] Figure 4 The application provides a flowchart of step S40.

[0058] Figure 5 The application provides a structural schematic diagram of the fanless heat dissipation system based on the domestic CPU.

[0059] Figure 6 The application provides a module block diagram of the temperature state analysis unit.

[0060] Figure 7 The application provides a module block diagram of the theoretical adjustment analysis unit.

[0061] Figure 8 The application provides a module block diagram of the adjustment correction unit. DETAILED DESCRIPTION

[0062] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0063] The specific implementation of the present application will be described in detail below with reference to specific embodiments.

[0064] Please refer to Figure 1 The fan-free heat dissipation optimization method based on a domestic CPU provided by an embodiment of the present application includes the following steps:

[0065] Step S10: Obtain temperature data of the domestic CPU to generate a domestic CPU temperature health index; wherein the temperature data includes real-time temperature values and temperature change values;

[0066] Step S20: Determine whether the current domestic CPU is in a temperature abnormal state according to the domestic CPU temperature health index;

[0067] Step S30: If the current domestic CPU is in a temperature abnormal state, obtain state data of the heat dissipation fin and a natural wind input angle value of the heat dissipation fin, establish a heat dissipation fin theoretical tilt angle analysis model, and generate a heat dissipation fin theoretical tilt angle adjustment value; wherein the state data of the heat dissipation fin includes the length of the heat dissipation fin and the relative gap of the heat dissipation fin; the natural wind input angle value of the heat dissipation fin refers to the angle value of the direction of the natural wind blowing towards the heat dissipation fin;

[0068] In this embodiment, the natural wind input angle value of the heat dissipation fin refers to the included angle between the straight line formed by the moving track of the natural wind and the plane of the heat dissipation plate;

[0069] Step S40: Obtain a natural wind output angle value of the heat dissipation fin based on the heat dissipation fin theoretical tilt angle adjustment value, establish an adjustment angle correction model, and generate a heat dissipation fin tilt angle adjustment correction value; the natural wind output angle value of the heat dissipation fin refers to the angle value of the direction of the natural wind blowing out of the heat dissipation fin;

[0070] In this embodiment, the natural wind output angle value of the heat dissipation fin refers to the included angle between the straight line formed by the moving track of the natural wind blowing out of the heat dissipation fin and the straight line formed by the heat dissipation outlet;

[0071] Step S50: Adjust the tilt angle of the heat dissipation fin according to the heat dissipation fin tilt angle adjustment correction value.

[0072] Please refer to Figure 2 As a preferred embodiment of the present application, the generation method of the CPU temperature health index specifically includes the following steps:

[0073] S11: obtaining a real-time temperature value and a temperature change value of the domestic CPU;

[0074] In the embodiment, the temperature change value refers to a difference between the current temperature value and the historical temperature value of the domestic CPU, i.e., the temperature change value;

[0075] S12: generating a real-time temperature evaluation index according to the real-time temperature value;

[0076] S13: generating a temperature change evaluation index according to the temperature change value; wherein the temperature change evaluation index refers to a ratio between a difference between the temperature change value and a temperature change threshold value and the temperature change threshold value;

[0077] For example, the temperature change evaluation index is generated by the following formula:

[0078] ;

[0079] generating the temperature change evaluation index ;

[0080] In the formula, represents the temperature change value, represents the temperature change threshold value;

[0081] It should be explained that the temperature change threshold value refers to a maximum temperature change value of the domestic CPU in a unit time;

[0082] In the embodiment, the unit time is the same as the time corresponding to the temperature change value; for example, the temperature change value is x, and the time interval is n, and then the unit time corresponding to the temperature change threshold value is n;

[0083] S14: establishing a health analysis model according to the real-time temperature evaluation index and the temperature change evaluation index, and generating a temperature health index of the domestic CPU.

[0084] As a preferred embodiment of the present application, the generation method of the real-time temperature evaluation index is specifically as follows:

[0085] comparing the real-time temperature value with a standard running temperature range;

[0086] It should be explained that the standard running temperature range refers to a temperature safety range of the domestic CPU under a standard working condition;

[0087] If the real-time temperature value is within the standard running temperature range, it is determined that the temperature of the current domestic CPU is within a normal range; when the temperature of the current domestic CPU is within the normal range, the real-time temperature evaluation index is 0;

[0088] If the real-time temperature value is not in the standard running temperature range, it is determined that the temperature of the current domestic CPU is not in the normal range;

[0089] When the temperature of the current domestic CPU is not in the standard running temperature range, a real-time temperature deviation value is generated according to the real-time temperature value and the near end point of the standard running temperature range; wherein the real-time temperature deviation value refers to the difference between the real-time temperature value and the near end point of the standard running temperature range;

[0090] A real-time temperature evaluation index is generated according to the real-time temperature deviation value and the near end point of the standard running temperature range; wherein the real-time temperature evaluation index refers to the ratio between the real-time temperature deviation value and the near end point of the standard running temperature range.

[0091] As a preferred embodiment of the present application, the expression of the health analysis model is specifically:

[0092] ;

[0093] In the expression, represents the domestic CPU temperature health index, represents the real-time temperature evaluation index, represents the temperature change evaluation index.

[0094] As a preferred embodiment of the present application, the way of judging whether the current domestic CPU is in a temperature abnormal state is specifically:

[0095] The domestic CPU temperature health index is compared with the domestic CPU temperature health index threshold value;

[0096] It needs to be explained that the domestic CPU temperature health index threshold value is a set value, which is set by the relevant personnel in the field;

[0097] When the domestic CPU temperature health index is less than or equal to the domestic CPU temperature health index threshold value, it is determined that the current domestic CPU is in a temperature normal state; at this time, the smaller the domestic CPU temperature health index, the more normal the temperature state of the current domestic CPU is;

[0098] When the domestic CPU temperature health index is greater than the domestic CPU temperature health index threshold value, it is determined that the current domestic CPU is in a temperature abnormal state; at this time, the greater the domestic CPU temperature health index, the more abnormal the temperature state of the current domestic CPU is.

[0099] Please refer to Figure 3 , as a preferred embodiment of the present application, the generation method of the theoretical inclination angle adjustment value of the heat dissipation fin specifically includes the following steps:

[0100] S31: Obtain the length of the fins, the relative gap of the fins, and the natural wind input angle value of the fins;

[0101] S32: Generate a wind-fin contact point distance value according to the relative gap of the fins and the natural wind input angle value of the fins;

[0102] It should be explained that the wind-fin contact point distance value refers to the distance from the edge of the fin when the natural wind first contacts the fin when flowing;

[0103] S33: Determine whether the natural wind input angle value of the fins meets the ventilation requirement of the fins according to the wind-fin contact point distance value;

[0104] S34: If the natural wind input angle value of the fins does not meet the ventilation requirement of the fins, establish a theoretical fin inclination angle analysis model according to the length of the fins and the wind-fin contact point distance value, and generate a theoretical fin inclination angle adjustment value.

[0105] As a preferred embodiment of the present application, the generation method of the wind-fin contact point distance value is specifically:

[0106] Through the formula:

[0107] ;

[0108] Generate a wind-fin contact point distance value L;

[0109] In the formula, h represents the relative gap of the fins, represents the natural wind input angle value of the fins, represents the vertical length difference between the fins;

[0110] It should be explained that if the edges of the two fins are not on the same vertical plane (i.e., the vertical lines of the fin edges are not the same vertical line), the vertical distance between the two vertical lines is the vertical length difference between the fins.

[0111] As a preferred embodiment of the present application, the determination method of whether the natural wind input angle value of the fins meets the ventilation requirement of the fins is specifically:

[0112] Through the formula:

[0113] ;

[0114] Generate a fin ventilation requirement evaluation index K;

[0115] In the formula, represents the length of the fins, and L represents the wind-fin contact point distance value;

[0116] The fin ventilation demand evaluation index K is compared with the fin ventilation demand evaluation index threshold value;

[0117] It should be explained that the fin ventilation demand evaluation index threshold value is a set value, which is set by the relevant personnel in the field; in addition, the fin ventilation demand evaluation index threshold value refers to the minimum proportion of the wind-fin contact point distance value to the length of the fin;

[0118] When the fin ventilation demand evaluation index K is less than or equal to the fin ventilation demand evaluation index threshold value, it is determined that the natural wind input angle value of the fin meets the ventilation demand of the fin; at this time, the smaller the fin ventilation demand evaluation index K, the more the natural wind input angle value of the fin meets the ventilation demand of the fin;

[0119] When the fin ventilation demand evaluation index K is greater than the fin ventilation demand evaluation index threshold value, it is determined that the natural wind input angle value of the fin does not meet the ventilation demand of the fin; at this time, the greater the fin ventilation demand evaluation index K, the less the natural wind input angle value of the fin meets the ventilation demand of the fin.

[0120] As a preferred embodiment of the present application, the expression of the fin theoretical inclination angle analysis model is specifically:

[0121]

[0122] In the expression, represents the fin theoretical inclination angle adjustment value, represents the fin ventilation demand evaluation index threshold value, and h represents the relative gap of the fin, represents the natural wind input angle value of the fin.

[0123] Please refer to Figure 4 As a preferred embodiment of the present application, the generation method of the fin inclination angle adjustment correction value specifically includes the following steps:

[0124] S41: Obtain the natural wind output angle value of the fin, and generate an outflow angle evaluation index; wherein the outflow angle evaluation index refers to the ratio between the natural wind output angle value of the fin and the maximum natural wind output angle value;

[0125] S42: According to the outflow angle evaluation index, it is judged whether the natural wind output angle value of the fin meets the outflow demand;

[0126] ​S43: If the natural wind output angle value of the heat dissipation fin does not meet the air outlet requirement, an adjustment angle correction model is established, the heat dissipation fin theoretical tilt angle adjustment value and the air outlet angle evaluation index are substituted into the adjustment angle correction model, and the heat dissipation fin tilt angle adjustment correction value is generated.

[0127] As a preferred embodiment of the present application, the way of judging whether the natural wind output angle value of the heat dissipation fin meets the air outlet requirement is specifically:

[0128] The air outlet angle evaluation index is compared with the air outlet angle evaluation index threshold value;

[0129] It should be explained that the air outlet angle evaluation index threshold value is a set value, which is set by the relevant personnel in the field;

[0130] When the air outlet angle evaluation index is less than or equal to the air outlet angle evaluation index threshold value, it is judged that the natural wind output angle value of the heat dissipation fin meets the air outlet requirement; at this time, the smaller the air outlet angle evaluation index, the more the natural wind output angle value of the heat dissipation fin meets the air outlet requirement;

[0131] When the air outlet angle evaluation index is greater than the air outlet angle evaluation index threshold value, it is judged that the natural wind output angle value of the heat dissipation fin does not meet the air outlet requirement; at this time, the greater the air outlet angle evaluation index, the less the natural wind output angle value of the heat dissipation fin meets the air outlet requirement.

[0132] As a preferred embodiment of the present application, the expression of the adjustment angle correction model is specifically:

[0133]

[0134] In the expression, represents the heat dissipation fin tilt angle adjustment correction value, represents the heat dissipation fin theoretical tilt angle adjustment value, represents the natural wind output angle value of the heat dissipation fin, represents the maximum value of the natural wind output angle, and n is a constant;

[0135] It should be explained that the constant n is a set value, which is set by the relevant personnel in the field, and the way of taking the value includes but is not limited to expert consultation method, multiplication analysis method, etc.

[0136] In addition, it should be supplemented that the value of n is mainly to balance the heat dissipation fin theoretical tilt angle adjustment value and the natural wind output angle (i.e. the angle formed between the wind direction blown out of the heat dissipation fin and the air outlet), so as to try to ensure that the natural wind blown out of the heat dissipation fin flows out of the air outlet when adjusting the tilt angle of the heat dissipation fin, prevent the natural wind blown out of the heat dissipation fin from flowing back to the surrounding of the heat dissipation fin, thereby causing the temperature around the heat dissipation fin to rise, resulting in reduced heat dissipation effect.​

[0137] Referring to Figure 5 As a preferred embodiment of the present application, the present application further provides a fanless heat dissipation system based on a domestic CPU, which comprises:

[0138] a temperature state analysis unit 10 configured to acquire temperature data of the domestic CPU and generate a temperature health index of the domestic CPU, wherein the temperature data comprises a real-time temperature value and a temperature change value;

[0139] a temperature state judgment module 20 configured to judge whether the current domestic CPU is in a temperature abnormal state according to the temperature health index of the domestic CPU;

[0140] a theoretical adjustment analysis unit 30 configured to acquire state data of the heat dissipation fin and a natural wind input angle value of the heat dissipation fin, establish a theoretical tilt angle analysis model of the heat dissipation fin, and generate a theoretical tilt angle adjustment value of the heat dissipation fin if the current domestic CPU is in the temperature abnormal state, wherein the state data of the heat dissipation fin comprises a length of the heat dissipation fin and a relative gap of the heat dissipation fin, and the natural wind input angle value of the heat dissipation fin refers to a wind direction angle value of natural wind blowing towards the heat dissipation fin;

[0141] an adjustment correction unit 40 configured to acquire a natural wind output angle value of the heat dissipation fin based on the theoretical tilt angle adjustment value of the heat dissipation fin, establish an adjustment angle correction model, and generate an adjustment correction value of the tilt angle of the heat dissipation fin, wherein the natural wind output angle value of the heat dissipation fin refers to a wind direction angle value of natural wind blowing out of the heat dissipation fin;

[0142] an adjustment control module 50 configured to adjust the tilt angle of the heat dissipation fin according to the adjustment correction value of the tilt angle of the heat dissipation fin.

[0143] Referring to Figure 6 As a preferred embodiment of the present application, the temperature state analysis unit specifically comprises:

[0144] a temperature data acquisition module 11 configured to acquire the real-time temperature value and the temperature change value of the domestic CPU;

[0145] a real-time temperature evaluation module 12 configured to generate a real-time temperature evaluation index according to the real-time temperature value;

[0146] a temperature change evaluation module 13 configured to generate a temperature change evaluation index according to the temperature change value, wherein the temperature change evaluation index refers to a ratio between a difference between the temperature change value and a temperature change threshold value and the temperature change threshold value;

[0147] a health index generation module 14 configured to establish a health analysis model according to the real-time temperature evaluation index and the temperature change evaluation index, and generate the temperature health index of the domestic CPU.

[0148] Referring to Figure 7 , as a preferred embodiment of the present application, the theoretical adjustment analysis unit specifically comprises:

[0149] A data acquisition module 31 is configured to acquire the length of the heat dissipation fin, the relative gap of the heat dissipation fin, and the natural wind input angle value of the heat dissipation fin.

[0150] A contact point distance analysis module 32 is configured to generate a wind-heat dissipation fin contact point distance value according to the relative gap of the heat dissipation fin and the natural wind input angle value of the heat dissipation fin.

[0151] A ventilation demand judgment module 33 is configured to judge whether the natural wind input angle value of the heat dissipation fin meets the ventilation demand of the heat dissipation fin according to the wind-heat dissipation fin contact point distance value.

[0152] An adjustment value generation module 34 is configured to, if the natural wind input angle value of the heat dissipation fin does not meet the ventilation demand of the heat dissipation fin, establish a heat dissipation fin theoretical tilt angle analysis model according to the length of the heat dissipation fin and the wind-heat dissipation fin contact point distance value, and generate a heat dissipation fin theoretical tilt angle adjustment value.

[0153] Referring to Figure 8 , as a preferred embodiment of the present application, the adjustment correction unit specifically comprises:

[0154] An air outlet angle evaluation module 41 is configured to acquire a natural wind output angle value of the heat dissipation fin, and generate an air outlet angle evaluation index; wherein the air outlet angle evaluation index refers to the ratio between the natural wind output angle value of the heat dissipation fin and the maximum natural wind output angle value.

[0155] An air outlet angle judgment module 42 is configured to judge whether the natural wind output angle value of the heat dissipation fin meets the air outlet demand according to the air outlet angle evaluation index.

[0156] A correction value generation module 43 is configured to, if the natural wind output angle value of the heat dissipation fin does not meet the air outlet demand, establish an adjustment angle correction model, and input the heat dissipation fin theoretical tilt angle adjustment value and the air outlet angle evaluation index into the adjustment angle correction model to generate a heat dissipation fin tilt angle adjustment correction value.

[0157] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A fanless heat dissipation optimization method based on domestically produced CPUs, characterized in that: The following steps are involved: Obtain temperature data of domestic CPUs and generate a domestic CPU temperature health index; the temperature data includes real-time temperature values ​​and temperature change values; According to the domestic CPU temperature health index, determine whether the current domestic CPU is in an abnormal temperature state; If the current domestic CPU is in an abnormal temperature state, obtain the status data of the heat sink and the natural wind input angle value of the heat sink, establish a heat sink theoretical tilt angle analysis model, and generate the heat sink theoretical tilt angle adjustment value; wherein the status data of the heat sink includes the heat sink length and the relative gap between the heat sinks; the natural wind input angle value of the heat sink refers to the angle value of the natural wind direction blowing towards the heat sink; Based on the theoretical tilt angle adjustment value of the heat sink, the natural wind output angle value of the heat sink is obtained, an adjustment angle correction model is established, and the heat sink tilt angle adjustment correction value is generated; the natural wind output angle value of the heat sink refers to the wind direction angle value of the natural wind blown out from the heat sink; Adjust the tilt angle of the heat sink according to the correction value of the heat sink tilt angle.

2. The fanless heat dissipation optimization method based on domestic CPU according to claim 1 is characterized in that: The method for generating the CPU temperature health index specifically includes the following steps: Get the real-time temperature value and temperature change value of domestic CPU; Generate a real-time temperature evaluation index based on the real-time temperature value; Generate a temperature change evaluation index based on the temperature change value; wherein the temperature change evaluation index refers to the ratio between the difference between the temperature change value and the temperature change threshold and the temperature change threshold; Based on the real-time temperature evaluation index and temperature change evaluation index, a health analysis model is established to generate the domestic CPU temperature health index.

3. The fanless heat dissipation optimization method based on domestic CPU according to claim 2 is characterized in that: The real-time temperature evaluation index is generated in the following manner: Compare the real-time temperature value with the standard operating temperature range; If the real-time temperature value is not within the standard operating temperature range, it is determined that the temperature of the current domestic CPU is not within the normal range; When the temperature of the current domestic CPU is not within the standard operating temperature range, a real-time temperature deviation value is generated based on the real-time temperature value and the near end point of the standard operating temperature range; the real-time temperature deviation value refers to the difference between the real-time temperature value and the near end point of the standard operating temperature range; A real-time temperature evaluation index is generated based on the real-time temperature deviation value and the near end point of the standard operating temperature range; wherein the real-time temperature evaluation index refers to the ratio between the real-time temperature deviation value and the near end point of the standard operating temperature range.

4. The fanless heat dissipation optimization method based on domestic CPU according to claim 2 is characterized in that: The expression of the health analysis model is specifically: ； In the expression, It represents the temperature health index of domestic CPU. It represents the real-time temperature evaluation index. It represents the temperature change assessment index.

5. The fanless heat dissipation optimization method based on domestic CPU according to claim 1 is characterized in that: The method for generating the heat sink theoretical tilt angle adjustment value specifically includes the following steps: Obtain the length of the heat sink, the relative gap between the heat sink and the natural wind input angle of the heat sink; Generate the wind-heat sink contact point distance value based on the relative gap between the heat sink and the natural wind input angle value of the heat sink; According to the distance between the air and the heat sink contact point, determine whether the natural wind input angle value of the heat sink meets the ventilation requirements of the heat sink; If the natural wind input angle value of the heat sink does not meet the ventilation requirements of the heat sink, a heat sink theoretical tilt angle analysis model is established based on the length of the heat sink and the distance between the wind and the heat sink contact point to generate the heat sink theoretical tilt angle adjustment value.

6. The fanless heat dissipation optimization method based on domestic CPU according to claim 5 is characterized in that: The method for generating the air-heat sink contact point distance value is specifically as follows: By formula: ； Generate the air-heat sink contact point distance value L; In the formula, h represents the relative gap between the heat sink and the fin. It represents the natural wind input angle value of the heat sink. Indicates the vertical length difference between the heat sink fins.

7. The fanless heat dissipation optimization method based on domestic CPU according to claim 5 is characterized in that: The specific expression of the heat sink theoretical tilt angle analysis model is: ； In the expression, It indicates the theoretical tilt angle adjustment value of the heat sink. It represents the heat sink ventilation demand assessment index threshold, h represents the relative gap of the heat sink, It represents the natural wind input angle value of the heat sink.

8. The fanless heat dissipation optimization method based on domestic CPU according to claim 1 is characterized in that: The method for generating the heat sink tilt angle adjustment correction value specifically includes the following steps: Obtaining the natural wind output angle value of the heat sink and generating an air outlet angle evaluation index; wherein the air outlet angle evaluation index refers to the ratio between the natural wind output angle value of the heat sink and the maximum natural wind output angle; According to the air outlet angle evaluation index, determine whether the natural wind output angle value of the heat sink meets the air outlet requirements; If the natural wind output angle value of the heat sink does not meet the air outlet requirements, an adjustment angle correction model is established, and the heat sink theoretical tilt angle adjustment value and the air outlet angle evaluation index are substituted into the adjustment angle correction model to generate the heat sink tilt angle adjustment correction value.

9. The fanless heat dissipation optimization method based on domestic CPU according to claim 8, characterized in that: The expression of the adjustment angle correction model is specifically: ； In the expression, It indicates the correction value of the heat sink tilt angle adjustment. It indicates the theoretical tilt angle adjustment value of the heat sink. It represents the natural wind output angle value of the heat sink. It represents the maximum value of natural wind output angle, and n is a constant.

10. Fanless cooling system based on domestic CPU, characterized by: The system is used to implement the fanless heat dissipation optimization method based on a domestically produced CPU as described in any one of claims 1 to 9; the system comprises: The temperature status analysis unit is used to obtain the temperature data of the domestic CPU and generate the domestic CPU temperature health index; wherein the temperature data includes the real-time temperature value and the temperature change value; The temperature status judgment module is used to judge whether the current domestic CPU is in an abnormal temperature state based on the domestic CPU temperature health index; A theoretical adjustment analysis unit, wherein if the domestically produced CPU is currently in an abnormal temperature state, the theoretical adjustment analysis unit is used to obtain status data of the heat sink and a natural wind input angle value of the heat sink, establish a theoretical tilt angle analysis model for the heat sink, and generate a theoretical tilt angle adjustment value for the heat sink; wherein the status data of the heat sink includes the length of the heat sink and the relative gap between the heat sinks; and the natural wind input angle value of the heat sink refers to the wind direction angle value of the natural wind blowing toward the heat sink; An adjustment correction unit is used to obtain a natural wind output angle value of the heat sink based on a theoretical heat sink tilt angle adjustment value, establish an adjustment angle correction model, and generate a heat sink tilt angle adjustment correction value; the natural wind output angle value of the heat sink refers to a wind direction angle value of the natural wind blown out from the heat sink; The adjustment control module is used to adjust the correction value according to the inclination angle of the heat sink to adjust the inclination angle of the heat sink.

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