Intelligent heat dissipation method and system for case heat dissipation

Abstract

The invention discloses an intelligent heat dissipation method and system for case heat dissipation, and belongs to the technical field of server case heat dissipation, and the intelligent heat dissipation method comprises the following steps: S1, arranging a heat detection unit and a diversion unit in a case; s2, acquiring real-time temperature information in the case, comparing the real-time temperature information with a temperature threshold value to judge whether a hot spot appears or not, and if the hot spot appears, turning to step S3; s3, confirming a hot spot coordinate, reconstructing a cold air conveying path, and calculating to obtain deflection angle information of the flow guide unit; and S4, the flow guide unit conducts corresponding deflection, cold air conveying path reconstruction is completed, and meanwhile the system capable of achieving the method is provided. According to the intelligent heat dissipation method and system for heat dissipation of the case, the cold air conveying path in the case is reconstructed, so that targeted efficient heat dissipation is carried out on the hot spot position in the case, energy consumption waste is avoided, and the heat dissipation efficiency is improved.

Description

Technical Field

[0001] This invention belongs to the field of server chassis heat dissipation technology, specifically relating to an intelligent heat dissipation method and system for chassis heat dissipation. Background Technology

[0002] As the computing density of servers, data centers, and high-performance computing (HPC) devices continues to increase, the heat concentration of internal components has significantly increased. In 1U and 2U server chassis, multiple high-power CPUs, GPUs, memory, storage modules, and power supplies are concentrated in a limited space, forming multiple heat sources. This uneven heat distribution often leads to significant localized high-heat effects, which in turn causes performance degradation and shortens the lifespan of local components.

[0003] Current cooling technologies typically address hotspots by increasing global fan speed or liquid cooling flow, but this approach wastes energy and overcools other areas. Furthermore, the fixed airflow path prevents dynamic changes in airflow direction, forcing cool air to detour when the hotspot's location shifts, leading to delayed localized cooling.

[0004] Therefore, there is an urgent need for an intelligent heat dissipation method that can adjust the path of cold air delivery so that it can directly reach hot areas, thereby improving heat dissipation efficiency and reducing energy consumption. Summary of the Invention

[0005] In response to one or more of the above-mentioned defects or improvement needs of the prior art, the present invention provides an intelligent heat dissipation method and system for chassis heat dissipation, wherein the airflow inside the chassis is adjusted by real-time temperature information inside the chassis to improve the heat dissipation efficiency of hot spots.

[0006] To achieve the above objectives, the present invention provides an intelligent heat dissipation method for chassis heat dissipation, which includes the following steps: S1. Arrange thermal detection units in the chassis to build a temperature sensing network model, and configure airflow guiding units in the chassis to build a heat dissipation airflow model; S2. Obtain the real-time temperature information of each heating element through the thermal detection unit, and compare the real-time temperature information with the temperature threshold. If the real-time temperature information is greater than the temperature threshold, it is determined that a hot spot has appeared, and then proceed to step S3. S3. Based on the temperature sensing network model, confirm the hot spot coordinates and import them into the heat dissipation airflow model to reconstruct the cold air delivery path and calculate the deflection angle information of the airflow guiding unit. S4. The deflection angle information is sent to the flow guiding unit, which then deflects accordingly to complete the reconstruction of the cold air delivery path.

[0007] As a further improvement of the present invention, step S1 includes the following steps: S11. Determine the chassis structure information, which includes chassis structure layout information and the location information of each heat-generating element; S12. Arrange thermal detection units around each of the heat-generating elements inside the chassis, construct a temperature sensing network model, and associate the temperature sensing network model with the chassis structure information; S13. Arrange airflow guiding units inside the chassis, determine the location information of the airflow guiding units, and construct a heat dissipation airflow model based on the chassis structure information.

[0008] As a further improvement of the present invention, the temperature threshold includes a fixed temperature threshold and a dynamic temperature threshold, and the calculation formula for the dynamic temperature threshold is as follows: In the formula, T th For dynamic temperature threshold, T avy This is the background temperature value. denoted as standard deviation, and k is a predefined coefficient.

[0009] As a further improvement of the present invention, the predefined coefficient is set to be dynamically adjusted, and the dynamic adjustment process includes the following steps: A1. Store real-time temperature information as historical data; A2. Analyze the frequency of hotspot occurrence based on historical data. If the frequency of hotspot occurrence is greater than the preset frequency, reduce the predefined coefficient. If no hotspot occurs within a specified time, increase the predefined coefficient.

[0010] As a further improvement of the present invention, step S3 includes the following steps: S31. Obtain the hotspot coordinates and import them into the heat dissipation airflow model; S32. Calculate the shortest cold air delivery path and determine the guide units along the path; S33. Calculate the deflection angle of the guide element. The formula for the angle deflection of the guide element is: In the formula, For the deflection angle, (x) h y h (x) represents the coordinates of the target point. in y in ( ) represents the coordinates of the starting point.

[0011] As a further improvement of the present invention, when there is only one flow guiding unit, the starting point is the flow guiding unit and the target point is the hot spot; or, When there are multiple air guiding units, the cold air delivery path includes multiple air sections. The starting point is the air outlet guiding unit of the air section, and the target point is the air inlet guiding unit or the hot spot of the air section.

[0012] As a further improvement of the present invention, when there are multiple hot spots, the hot spot with the highest temperature value is taken as the main hot spot, and the main cold air delivery path is calculated. After the main cold air delivery path is completed, the secondary cold air delivery paths are calculated for the other hot spots respectively.

[0013] As another aspect of the present invention, an intelligent heat dissipation system for chassis heat dissipation is also proposed, including a thermal detection unit, a flow guiding unit, a hot spot positioning module, and an airflow calculation module. The thermal detection units are multiple units arranged around each heat-generating element in the chassis, and the thermal detection units are arranged in an array. The hotspot location module is communicatively connected to each of the thermal detection units, and is used to receive real-time temperature information, compare the real-time temperature information with the temperature threshold to determine whether a hotspot has appeared, and determine the hotspot coordinates through the temperature sensing network model. The wind path calculation module is communicatively connected to the hot spot positioning module, and is used to receive hot spot coordinates, reconstruct the cold air delivery path through the heat dissipation wind path model, and calculate the deflection angle information of the flow guiding unit. The airflow guiding unit consists of multiple units arranged in the chassis, and each airflow guiding unit is communicatively connected to the airflow calculation module to receive the deflection angle information and thereby change the direction of the cold airflow.

[0014] As a further improvement of the present invention, the thermal detection unit is a MEMS thermistor or an infrared microradiometer; And / or, The airflow guiding unit includes a drive mechanism and at least one adjustable air guide vane.

[0015] As a further improvement of the present invention, a visualization module is also included. The visualization module is communicatively connected to the hotspot positioning module and the wind path calculation module, respectively, and is used to receive the hotspot coordinates and the deflection angle information of the guide unit, so as to visualize the deflection state of the hotspot and the guide unit.

[0016] The aforementioned improved technical features can be combined with each other as long as they do not conflict with each other.

[0017] In summary, the beneficial effects of the above-described technical solutions conceived by this invention compared with the prior art include: (1) The intelligent heat dissipation method for chassis heat dissipation of the present invention obtains real-time temperature information inside the chassis by arranging a thermal detection unit in the chassis, and identifies hot spot locations, re-plans the cold air delivery path based on the hot spot locations, and completes the reconstruction of the cold air delivery path through a deflection and guiding unit, thereby achieving targeted and efficient heat dissipation of hot spot locations inside the chassis. (2) The intelligent heat dissipation method for chassis heat dissipation of the present invention constructs a temperature sensing network model and a heat dissipation airflow model based on the chassis structure, and determines a unified coordinate origin to unify the two models, so that the hot spot location information in the temperature sensing network model can be directly imported into the heat dissipation airflow model to improve computational efficiency and achieve fast response. (3) The intelligent heat dissipation method for chassis heat dissipation of the present invention sets the temperature threshold as a fixed temperature threshold and a dynamic temperature threshold. The dynamic temperature threshold can be dynamically adjusted according to the temperature of the internal environment of the chassis to improve the judgment sensitivity, while retaining the fixed temperature threshold to prevent the dynamic temperature threshold from being set too high and failing to identify hot spots. (4) The intelligent heat dissipation method for chassis heat dissipation of the present invention arranges the air guiding unit and deflects the air guiding unit to reconstruct the cold air path, thereby shortening the distance of cold air delivery to the hot spot, so that the cold air can quickly reach the hot spot and improve the heat dissipation efficiency. (5) The intelligent heat dissipation system for chassis heat dissipation of the present invention performs temperature sensing and airflow adjustment by means of a heat detection unit and a flow guiding unit arranged inside the chassis, and performs corresponding calculations by means of a hot spot positioning module and an airflow calculation module, so as to realize intelligent heat dissipation inside the chassis. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the intelligent heat dissipation method for chassis heat dissipation in an embodiment of the present invention; Figure 2 This is a schematic diagram of the overall structure of the intelligent heat dissipation system for chassis heat dissipation in an embodiment of the present invention; In all the accompanying drawings, the same reference numerals indicate the same technical features, specifically: 1. Thermal detection unit; 2. Hotspot location module; 3. Wind path calculation module; 4. Airflow guiding unit; 5. Visualization module. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0020] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," and "circumferential" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0021] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0022] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0023] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0024] Example: Please see Figure 1 , 2The intelligent heat dissipation method for chassis heat dissipation in a preferred embodiment of the present invention acquires real-time temperature information of the chassis interior and each heat-generating component by arranging a thermal detection unit 1 in the chassis, determining whether hot spots have appeared based on the real-time temperature information, and reconstructing the cool air delivery path. The method includes the following steps: S1. Arrange thermal detection unit 1 in the chassis, construct a temperature sensing network model, and configure airflow guiding unit 4 in the chassis to construct a heat dissipation airflow model; S2. The real-time temperature information of each heating element is obtained through the thermal detection unit 1, and the real-time temperature information is compared with the temperature threshold. If the real-time temperature information is greater than the temperature threshold, it is determined that a hot spot has appeared, and then proceed to step S3. S3. Based on the temperature sensing network model, the coordinates of the hot spot to be cooled are identified and imported into the cooling airflow model to reconstruct the cold air delivery path and calculate the deflection angle information of the flow guiding unit 4. S4. The deflection angle information is sent to the flow guiding unit 4, and the flow guiding unit 4 deflects accordingly to complete the reconstruction of the cold air delivery path.

[0025] Furthermore, in step S1, a thermal detection unit 1 for real-time detection needs to be arranged, and a flow guiding unit 4 for airflow path reconstruction also needs to be arranged. Based on this, a temperature sensing network model and a heat dissipation airflow path model are constructed accordingly, which includes the following specific steps: S11. Determine the internal structure information of the chassis. The internal structure information of the chassis includes the chassis structure layout information and the location information of each heat-generating component, which will then serve as the basis for the temperature sensing network model and the heat dissipation airflow model. S12. Arrange thermal detection units 1 around each heat-generating component inside the chassis, construct a temperature sensing network model, and associate the temperature sensing network model with the chassis structure information, especially the location information of each heat-generating component. S13. Arrange the airflow guiding unit 4 inside the chassis, determine the position information of the airflow guiding unit 4 in the chassis, and construct a heat dissipation airflow model based on the chassis structure information.

[0026] Furthermore, in both the temperature sensing network model and the heat dissipation airflow model, a certain point on the chassis is used as the reference point (which can be the endpoint of any corner of the chassis), so that the coordinate values ​​in the temperature sensing network model can be directly applied to the heat dissipation network model.

[0027] More preferably, the temperature information of each heat-generating element detected by the thermal detection unit 1 can also be marked as a data tag in the heat dissipation airflow model.

[0028] Furthermore, in step S2, when a hotspot is detected, a time-based determination is required. The airflow path can only be reconfigured if the detected real-time temperature remains above a temperature threshold for a certain period. This is to avoid misjudgments leading to frequent switching of the flow guiding unit 4's state, thereby increasing unnecessary energy consumption. Preferably, the time period is within 20s to 30s.

[0029] More preferably, the temperature threshold includes a fixed temperature threshold and a dynamic temperature threshold, wherein the dynamic temperature threshold can be dynamically adjusted to achieve more accurate hotspot detection. The formula for calculating the dynamic temperature threshold is as follows: In the formula, T th For dynamic temperature threshold, T avy This is the background temperature value. denoted as standard deviation, and k is a predefined coefficient with a value between 1.5 and 2.5.

[0030] To further explain, the background temperature value can be set to the average temperature of the entire internal environment of the chassis, or it can be set to the average temperature value of a certain area within the chassis. The division of the chassis into different areas can correspond to the settings of each heat-generating element.

[0031] In one embodiment, when the background temperature value is averaged, its standard deviation is small. Correspondingly, the dynamic temperature threshold is close to the average background temperature, which can ensure high sensitivity recognition.

[0032] In another embodiment, when the background temperature values ​​are uneven, the standard deviation is large, resulting in a larger dynamic temperature threshold, in order to avoid misjudging hotter areas as hot spots and prevent overreaction.

[0033] Furthermore, the fixed temperature threshold and the dynamic temperature threshold work together. When the dynamic temperature threshold is less than the fixed temperature threshold, the dynamic temperature threshold is used as the benchmark, and when the fixed temperature threshold is less than the dynamic temperature threshold, the fixed temperature threshold is used as the benchmark, so as to ensure the safety of the chassis as much as possible.

[0034] Furthermore, the predefined coefficients are set to be dynamically adjusted, and the dynamic adjustment process includes the following steps: A1. Store real-time temperature information as historical data; A2. Analyze the frequency of hotspot occurrences based on historical data. If the frequency of hotspot occurrences is greater than the preset frequency, the predefined coefficient will be reduced. If no hotspot occurs within a specified time, the predefined coefficient will be increased.

[0035] To further explain, when hot spots occur frequently, it can be determined that the heat-generating components inside the chassis are in an unstable state during this period. Therefore, by reducing the k-value, the sensitivity of the determination can be improved, thereby increasing the detection accuracy. Preferably, based on historical data, if the hot spots trigger three times per minute within 5 minutes but do not form a sustained high-temperature period, it can be determined that the internal system of the chassis is in a fluctuating state, thus reducing the k-value.

[0036] Additionally, when no hotspots appear for an extended period, the k value can be appropriately increased to provide a certain margin to maintain the stable state without requiring higher sensitivity.

[0037] Further, step S3 includes the following steps: S31. Obtain the hotspot coordinates and import them into the heat dissipation airflow model; S32. Calculate the shortest cold air delivery path and determine the guide unit 4 on the path; S33. Calculate the deflection angle of the flow guiding unit 4. The formula for the angle deflection of the flow guiding unit 4 is: In the formula, For the deflection angle, (x) h y h (x) represents the coordinates of the target point. in y in ( ) represents the coordinates of the starting point.

[0038] In one embodiment, when there is only one flow guiding unit 4 on the reconstructed shortest cold air delivery path, the starting point is the flow guiding unit 4, the coordinates of the starting point are the coordinates of the center point of the air outlet of the flow guiding unit 4, and the target point is the hot spot, the coordinates of the target point are the coordinates of the hot spot.

[0039] In another embodiment, when there are multiple air guiding units 4, the cold air delivery path can be divided into multiple air sections. The starting point is the air outlet air guiding unit 4 of the air section, and the target point is the air inlet air guiding unit 4 or the hot spot of the air section. Then, the deflection angle of each air guiding unit 4 can be calculated.

[0040] Furthermore, if multiple hotspots exist simultaneously, the hotspot with the highest temperature value is taken as the primary hotspot, and the main cold air delivery path is calculated. After completing the main cold air delivery path, secondary cold air delivery paths are calculated for the other hotspots respectively.

[0041] More preferably, when the temperature of the main hot spot is far from that of other hot spots, the influence of the secondary cold air delivery path on the main cold air delivery path should be avoided. If the temperature of the main hot spot is not much different from that of other hot spots, the overall cooling effect of each hot spot should be considered.

[0042] Furthermore, after the flow guiding unit 4 completes the deflection, the thermal detection unit 1 continuously detects the temperature. After the detected real-time temperature drops, the flow guiding unit 4 resets. If the detected real-time temperature does not drop and remains at a high temperature, an alarm signal is issued, and personnel are dispatched to the site for handling.

[0043] As another aspect of the present invention, an intelligent heat dissipation system for chassis heat dissipation is also proposed, including a thermal detection unit 1, a flow guiding unit 4, a hot spot positioning module 2, and an airflow calculation module 3. The thermal detection unit 1 consists of multiple units arranged around each heat-generating element in the chassis, and the thermal detection units 1 are arranged in an array. Hotspot location module 2 is communicatively connected to each thermal detection unit 1 to receive real-time temperature information, compare the real-time temperature information with the temperature threshold to determine whether a hotspot has appeared, and determine the coordinates of the hotspot through the temperature sensing network model. The airflow calculation module 3 is communicatively connected to the hotspot positioning module 2, and is used to receive the hotspot coordinates, reconstruct the cold air delivery path through the heat dissipation airflow model, and calculate the deflection angle information of the flow guiding unit 4. Multiple airflow guiding units 4 are arranged in the chassis, and each airflow guiding unit 4 is communicatively connected to the airflow calculation module 3 to receive deflection angle information and thereby change the direction of cold airflow.

[0044] Furthermore, the thermal detection unit 1 is configured as a MEMS thermistor or an infrared microradiometer, and each thermal detection unit 1 is arranged in an array with a spacing between 2–5 mm. The sampling frequency of the thermal detection unit 1 is ≥50Hz.

[0045] More preferably, each thermal detection unit 1 is respectively located around the CPU, GPU, memory, power supply module and other high-heat components to realize overall temperature sensing inside the chassis.

[0046] Furthermore, the flow guiding unit 4 includes a driving mechanism and an adjusting air guide vane, wherein at least one adjusting air guide vane is connected to the output end of the driving mechanism, and preferably, the number of adjusting air guide vanes is 3 to 5.

[0047] More preferably, the regulating air guide is made of a high thermal conductivity lightweight aluminum alloy material, and the thickness of the regulating air guide is 0.8–1.2 mm.

[0048] Meanwhile, the output end of the drive mechanism is made of carbon steel, with ball bearings to reduce friction, and the adjustment angle range of the guide vane is 0°–45°. Preferably, the deflection angle of the guide vane is 15°–25°.

[0049] Furthermore, the airflow guiding unit 4 can be installed at the air duct outlet, the front end of the fan, or a key airflow node of the chassis.

[0050] Furthermore, the existing fan can also communicate with the hotspot location module 2 to increase the fan output when cooling is required, so as to continuously remove the waste heat from the hotspot.

[0051] Furthermore, it also includes a visualization module 5, which is communicatively connected to the hotspot positioning module 2 and the wind path calculation module 3, respectively, and is used to receive the hotspot coordinates and the deflection angle information of the guide unit 4, so as to visualize the deflection status of the hotspot and the guide unit 4.

[0052] Furthermore, it also includes an alarm module, which is communicatively connected to the hotspot location module 2. It is used to receive the hotspot determination signal issued by the hotspot location module 2 after the hotspot is detected. In particular, if the hotspot determination signal in the hotspot location module 2 does not show the disappearance of the hotspot after the flow guiding unit 4 is deflected, it can be determined that the flow guiding unit 4 cannot solve the problem of the heating element being too hot, and then a warning will be issued to the staff.

[0053] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An intelligent heat dissipation method for chassis heat dissipation, characterized in that, Includes the following steps: S1. Arrange thermal detection units in the chassis to build a temperature sensing network model, and configure airflow guiding units in the chassis to build a heat dissipation airflow model; S2. Obtain the real-time temperature information of each heating element through the thermal detection unit, and compare the real-time temperature information with the temperature threshold. If the real-time temperature information is greater than the temperature threshold, it is determined that a hot spot has appeared, and then proceed to step S3. S3. Based on the temperature sensing network model, confirm the hot spot coordinates and import them into the heat dissipation airflow model to reconstruct the cold air delivery path and calculate the deflection angle information of the airflow guiding unit. S4. The deflection angle information is sent to the flow guiding unit, which then deflects accordingly to complete the reconstruction of the cold air delivery path.

2. The intelligent heat dissipation method for chassis heat dissipation according to claim 1, wherein, Step S1 includes the following steps: S11. Determine the chassis structure information, which includes chassis structure layout information and the location information of each heat-generating element; S12. Arrange thermal detection units around each of the heat-generating elements inside the chassis, construct a temperature sensing network model, and associate the temperature sensing network model with the chassis structure information; S13. Arrange airflow guiding units inside the chassis, determine the location information of the airflow guiding units, and construct a heat dissipation airflow model based on the chassis structure information.

3. The intelligent heat dissipation method for chassis heat dissipation according to claim 1 or 2, wherein, The temperature threshold includes a fixed temperature threshold and a dynamic temperature threshold, and the dynamic temperature threshold is calculated using the following formula: In the formula, T th For dynamic temperature threshold, T avy This is the background temperature value. denoted as standard deviation, and k is a predefined coefficient.

4. The intelligent heat dissipation method for chassis heat dissipation according to claim 3, wherein, The predefined coefficient is set to be dynamically adjusted, and the dynamic adjustment process includes the following steps: A1. Store real-time temperature information as historical data; A2. Analyze the frequency of hotspot occurrence based on historical data. If the frequency of hotspot occurrence is greater than the preset frequency, reduce the predefined coefficient. If no hotspot occurs within a specified time, increase the predefined coefficient.

5. The intelligent heat dissipation method for chassis heat dissipation according to claim 1 or 2, wherein, Step S3 includes the following steps: S31. Obtain the hotspot coordinates and import them into the heat dissipation airflow model; S32. Calculate the shortest cold air delivery path and determine the guide units along the path; S33. Calculate the deflection angle of the guide element. The formula for the angle deflection of the guide element is: In the formula, For the deflection angle, (x) h y h (x) represents the coordinates of the target point. in y in ( ) represents the coordinates of the starting point.

6. The intelligent heat dissipation method for chassis heat dissipation according to claim 5, wherein, When there is only one flow guiding unit, the starting point is the flow guiding unit, and the target point is the hot spot; or, When there are multiple air guiding units, the cold air delivery path includes multiple air sections. The starting point is the air outlet guiding unit of the air section, and the target point is the air inlet guiding unit or the hot spot of the air section.

7. The intelligent heat dissipation method for chassis heat dissipation according to claim 5, wherein, When there are multiple hotspots, the hotspot with the highest temperature value is taken as the main hotspot, and the main cold air delivery path is calculated. After the main cold air delivery path is completed, the secondary cold air delivery paths are calculated for the other hotspots respectively.

8. An intelligent heat dissipation system for chassis heat dissipation, characterized in that, It includes a thermal detection unit, a flow guiding unit, a hotspot location module, and a wind path calculation module; The thermal detection units are multiple units arranged around each heat-generating element in the chassis, and the thermal detection units are arranged in an array. The hotspot location module is communicatively connected to each of the thermal detection units, and is used to receive real-time temperature information, compare the real-time temperature information with the temperature threshold to determine whether a hotspot has appeared, and determine the hotspot coordinates through the temperature sensing network model. The wind path calculation module is communicatively connected to the hot spot positioning module, and is used to receive hot spot coordinates, reconstruct the cold air delivery path through the heat dissipation wind path model, and calculate the deflection angle information of the flow guiding unit. The airflow guiding unit consists of multiple units arranged in the chassis, and each airflow guiding unit is communicatively connected to the airflow calculation module to receive the deflection angle information and thereby change the direction of the cold airflow.

9. The intelligent heat dissipation system for chassis heat dissipation according to claim 8, wherein, The thermal detection unit is a MEMS thermistor or an infrared microradiometer. And / or, The airflow guiding unit includes a drive mechanism and at least one adjustable air guide vane.

10. The intelligent heat dissipation system for chassis heat dissipation according to claim 8, wherein, It also includes a visualization module, which is communicatively connected to the hotspot positioning module and the wind path calculation module, respectively, and is used to receive the hotspot coordinates and the deflection angle information of the guide unit, so as to visualize the deflection status of the hotspot and the guide unit.

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