Integrated asymmetric radiation enclosure heat dissipation system for computing power room

Abstract

The application relates to the technical field of heat dissipation devices, in particular to an integrated asymmetric radiation envelope structure heat dissipation system for a computing power computer room, which comprises a heat dissipation module, a running module, a heat import optimization module, an image sensing module, a data acquisition module, a data processing module, a data analysis module and an execution module. The system preprocesses the running data of the received heat dissipation module, judges the heat dissipation efficiency of the system through the effective net radiation heat dissipation power density and a preset threshold value, adjusts the average mirror reflectivity of the photon mirror based on the judgment result, and further determines the standard effective net radiation heat dissipation power density according to the adjustment result. The application realizes the unified processing and analysis performance optimization of the heat dissipation system, effectively reduces the effective net radiation heat dissipation power density of the envelope structure heat dissipation system of the application, and improves the resource utilization rate.

Description

Technical Field

[0001] This invention relates to the field of heat dissipation device technology, and in particular to an integrated asymmetric radial enclosure heat dissipation system for computing rooms. Background Technology

[0002] In the heat dissipation process of building envelopes used in computing room construction, the side facing the outside radiates heat while strongly absorbing long-wave infrared radiation, resulting in a unidirectional heat flow that allows heat to enter but not exit. This causes significant inconvenience for handling and maintenance, leading to deviations in the heat dissipation process. The system cannot optimize based on feedback, making it difficult to guarantee the reliability and stability of the processing results. To avoid potential risks, quantifying the heat dissipation efficiency of different treatment methods and optimizing technical routes places higher demands on the reliability and comparability of analysis results. Many improvement measures have been implemented, enabling timely detection of anomalies and significantly increasing heat dissipation power, thus becoming a necessary means. Therefore, traditional mechanical refrigeration regulation remains an important method.

[0003] However, existing technologies mostly use cooling materials for heat dissipation, which severely weakens their ability to dissipate heat towards the sky due to the limited viewing angle. This can cause heat to be transferred back into the room, increasing the cooling load.

[0004] Meanwhile, the existing system is not adaptable to the effective solid angle of the vertical surface facing the sky. The key data involved in the system often rely on empirically set or fixed standard values, lacking real-time monitoring data based on the specific environment, and thus failing to form a dynamic adjustment mechanism, which reduces the reliability of net cooling power.

[0005] Chinese Patent Publication No. CN105696725A discloses a heat dissipation-type enclosure structure suitable for high-density heat-generating objects, including an air inlet and a direct evaporative cooler set on the outside of the wall, heat dissipation by setting a fan in the spray system, and improving heat dissipation efficiency based on the filling medium.

[0006] Therefore, although the proposed solution can improve the heat dissipation process, it still has the following problems: 1. This solution only uses a single heat dissipation device for heat dissipation. When there are outliers in the collected data, the device cannot intelligently optimize the data, which leads to the inability to effectively collect the deviation signals of the spray volume of each device, thereby reducing the effective heat radiation heat dissipation power density of the heat dissipation system. 2. This scheme uses fixed processing decisions. When the solid angle density changes, there will be deviations in the operating power, which will affect the subsequent working status of the module based on data processing and analysis, and further reduce the effective heat radiation heat dissipation power density of the heat dissipation system. Summary of the Invention

[0007] To address this issue, the present invention provides an integrated asymmetric radiation envelope heat dissipation system for computing power rooms, which overcomes the problem in the prior art where the effective thermal radiation heat dissipation power density of the heat dissipation system is reduced due to data processing deviations caused by the inability to generate corresponding processing update instructions based on device deviations.

[0008] To achieve the above objectives, the present invention provides an integrated asymmetric radial envelope heat dissipation system for computing data centers, comprising: The heat dissipation module is located between the heat source inside the computing room and the building envelope, and includes a dual-mode infrared asymmetric photonic mirror, a sealed air interlayer and a high-reflection coating, which is used to provide a unidirectional radiative heat dissipation path from the inside of the computing room to the outdoor environment. The operating module, which is connected to the heat dissipation module, includes a cleaning device for spraying the heat dissipation surface. The heat import optimization module, which is connected to the heat dissipation module, includes an electrostatic adsorption device to suppress and remove charged particulate contaminants attached to the surface of the photonic mirror. The image sensing module is connected to the heat dissipation module and is used to collect image parameters of the ambient temperature of the building envelope. The image parameters include the thermal radiation surface, distance, overlap area and included angle of the area around the photon mirror. The data acquisition module is connected to the heat import optimization module, the operation module and the image perception module, and is used to collect the state parameters of the two sides of the photon mirror, the sealed air gap and the inside and outside of the machine room in real time during each detection cycle. The state parameters include temperature gradient and mirror reflectivity. The data processing module is connected to the data acquisition module and is used to preprocess the received state parameters and image parameters. The data analysis module, which is connected to the data processing module, is used to determine whether the heat dissipation performance of the current system meets the standard based on the preprocessed state parameters and image parameters output by the data processing module; the data analysis module is also used to determine whether to generate a corresponding processing decision based on the determination result, and to determine whether to issue a processing decision for the power of the execution module based on the preprocessed state parameters and image parameters re-acquired after executing the processing decision. The execution module is connected to the data analysis module and is used to adjust the operating parameters of the corresponding module to the corresponding values ​​according to the processing decision output by the data analysis module.

[0009] Furthermore, the data analysis module is used to determine whether the heat dissipation performance of the current system meets the standard based on the processing results of the data processing module and the calculated effective net radiative heat dissipation density, and to determine the cause based on the effective unidirectional radiative temperature difference if the system is found to be non-compliant with the standard; wherein, the effective net radiative heat dissipation density is the sum of the difference between the measured net radiative power value and the actual heat loss value and the additional heat dissipation gain value.

[0010] Furthermore, the data analysis module is also used to determine the cause of non-compliance based on the effective unidirectional radiation temperature difference when it is determined that the heat dissipation performance of the current system does not meet the standard, and to make corresponding processing decisions based on the determined results, including issuing a processing decision on the average specular reflectivity of the photonic mirror when the cause is determined to be the degradation of the unidirectional radiation suppression function of the asymmetric photonic mirror, or issuing a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror when the cause is determined to be insufficient driving force for heat to be introduced from the inside of the computer room to the photonic mirror; wherein, the effective unidirectional radiation temperature difference is the difference between the average temperature of the inner surface of the photonic mirror and the average temperature of the inner wall surface of the sealed air gap.

[0011] Furthermore, when the data analysis module determines that the unidirectional radiation suppression function of the asymmetric photonic mirror has deteriorated, it reduces the average specular reflectivity of the photonic mirror according to the spray volume of the cleaning device, and the reduction in average specular reflectivity is positively correlated with the spray volume of the cleaning device; wherein, the spray volume of the cleaning device is the volumetric flow rate of the cleaning medium per unit area, and the average specular reflectivity of the photonic mirror is the average value of the ratio of the specular reflected light intensity to the incident light intensity measured by the Fourier transform infrared spectrometer.

[0012] Furthermore, after adjusting the average specular reflectivity, the data analysis module is also used to correct the adjusted average specular reflectivity according to the neutralizing liquid ion exchange rate, and the increase in the adjusted average specular reflectivity is positively correlated with the neutralizing liquid ion exchange rate; wherein, the neutralizing liquid ion exchange rate is the number of moles of ions effectively removed from the surface of a unit area photonic mirror through a neutralization chemical reaction.

[0013] Furthermore, in response to the first repeated detection condition, the data analysis module determines that the reason for not meeting the standard is that the driving force for heat to be introduced from the inside of the computer room to the photonic mirror is insufficient, and issues a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror. The first repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after adjusting the average specular reflectivity of the photonic mirror.

[0014] Furthermore, the data analysis module is used to increase the preset effective thermal radiation heat dissipation power density according to the geometric degradation coefficient of the image perception module, and the increase in the preset effective thermal radiation heat dissipation power density is positively correlated with the geometric degradation coefficient; wherein, the geometric degradation coefficient is the reciprocal of the product of the solid angle density of the external interference source and the relative angle.

[0015] Furthermore, the data analysis module is also used to correct and adjust the preset effective thermal radiation heat dissipation power density according to the solid angle density of the nearby heat source, and the increase in the adjusted effective thermal radiation heat dissipation power density is positively correlated with the solid angle density of the nearby heat source; wherein, the solid angle density of the nearby heat source is a characterization parameter calculated based on the orientation of the photon mirror through spatial solid angle integration.

[0016] Furthermore, in response to the second repeated detection condition, the data analysis module determines that the reason for not meeting the standard is that the final path resistance of heat dissipation is too large, and issues a processing decision on the grating depth of the photonic mirror; wherein, the second repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after completing the adjustment of the preset effective net radiation heat dissipation density.

[0017] Furthermore, the data analysis module is also used to increase the grating depth of the photonic mirror according to the driving voltage of the operating module, and the increase in the grating depth of the photonic mirror is positively correlated with the driving voltage; wherein, the driving voltage is the measured DC voltage value at both ends of the inner side of the photonic mirror.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: by setting up a data analysis module, the present invention can effectively determine whether there are acquisition deviations or processing deviations in the acquired signal by analyzing the effective thermal radiation heat dissipation power density in each acquisition cycle. At the same time, the data analysis module can also output corresponding processing decisions based on the determined actual situation, thereby effectively eliminating the deviation caused by abnormal data during data processing. While effectively improving the processing decision for different environmental changes, it effectively avoids the impact of the degradation of the photon mirror's unidirectional radiation suppression function on the effective thermal radiation heat dissipation power density, thereby effectively improving the effective net radiation heat dissipation density of the heat dissipation system described in the present invention.

[0019] Furthermore, the data analysis module of the present invention is used to determine whether the heat dissipation performance of the current system meets the standard based on the processing results of the data processing module and the calculated effective net radiative heat dissipation density. In the case of failure to meet the standard, the reason is determined based on the effective unidirectional radiative temperature difference. This makes the determination result of compliance with the standard more scenario-based and intelligent. While effectively avoiding the misjudgment and omission of the effective thermal radiative heat dissipation power density by the data analysis module with a single fixed threshold, it effectively improves the heat dissipation performance of the system according to the solution of the present invention.

[0020] Furthermore, the data analysis module of the present invention is also used to determine the reason for non-compliance with the standard based on the effective unidirectional radiation temperature difference when it is determined that the heat dissipation performance of the current system does not meet the standard, and to make corresponding processing decisions based on the determined results. It can intuitively determine the relationship of excessive, moderate or insufficient data processing in the current data processing process. While further improving the agility of the data analysis module, it further avoids resource waste, thereby further effectively improving the heat dissipation performance of the system according to the solution of the present invention.

[0021] Furthermore, the data analysis module of the present invention, when determining that the unidirectional radiation suppression function of the asymmetric photonic mirror is deteriorated, reduces the average specular reflectivity of the photonic mirror according to the spray volume of the cleaning device, thereby effectively outputting the corresponding processing decision. While further improving the data processing within the cycle, it avoids the influence of the spray volume of the cleaning device on the effective thermal radiation heat dissipation power density, thereby effectively improving the heat dissipation efficiency of the system described in the present invention.

[0022] Furthermore, after adjusting the average specular reflectivity, the data analysis module of the present invention is also used to correct the adjusted average specular reflectivity according to the ion exchange rate of the neutralizing liquid. This can effectively improve the accuracy of the average specular reflectivity of the photonic mirror, thereby effectively avoiding deviations in the comparison results and further improving the heat dissipation performance of the system described in the present invention.

[0023] Furthermore, in response to the first repeated detection condition, the data analysis module of the present invention determines that the reason for non-compliance with the standard is insufficient driving force for heat to be introduced from the inside of the computer room to the photon mirror, and issues a processing decision on the effective convective heat transfer coefficient of the inner surface of the photon mirror. This can specifically improve the agility of the data analysis module, further refine the adjustment range, and thus further effectively improve the heat dissipation performance of the system according to the present invention.

[0024] Furthermore, the data analysis module of the present invention is used to increase the preset effective thermal radiation heat dissipation power density according to the geometric degradation coefficient of the image perception module, which can intuitively determine the corresponding processing decisions under different conditions. While further improving the completeness of the data processing, it also accurately adjusts the direction, thereby further effectively improving the heat dissipation performance of the system according to the present invention.

[0025] Furthermore, the data analysis module of the present invention is also used to adjust the preset effective thermal radiation heat dissipation power density according to the solid angle density of the nearby heat source, which can intuitively determine the working state of the system. At the same time, it stores preset values ​​of various adjustment ranges, thereby making the judgment results that meet the standards more scenario-based. The standard effective thermal radiation heat dissipation power density adjusted by the adjustment coefficient ensures more accurate processing results, thereby further improving the heat dissipation efficiency of the system according to the present invention.

[0026] Furthermore, in response to the second repeated detection condition, the data analysis module of the present invention determines that the reason for non-compliance with the standard is that the final path resistance of heat dissipation is too large, and issues a processing decision on the grating depth of the photonic mirror. It can intuitively and accurately adjust the range and clarify the adjustment direction. While further improving the processing accuracy, it further avoids the occurrence of deviation in the comparison results, thereby further effectively improving the heat dissipation performance of the system described in the present invention.

[0027] Furthermore, the data analysis module of the present invention is also used to increase the grating depth of the photonic mirror according to the driving voltage of the running module, thereby further quantifying the driving voltage. This ensures the stability of the solution in the data processing process while effectively improving the accuracy of processing decisions, thereby further improving the heat dissipation performance of the solution for the system. Attached Figure Description

[0028] Figure 1 This is a structural block diagram of the integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms described in this invention; Figure 2 This is a flowchart illustrating whether the heat dissipation performance of the system meets the standard based on the effective thermal radiation heat dissipation power density. Figure 3 This is an optimization flowchart of the system described in this invention to address the degradation of the unidirectional radiation suppression function of the photonic mirror; Figure 4 This is an optimized flowchart of the system described in this invention for addressing insufficient heat transfer driving force. Detailed Implementation

[0029] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0030] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0031] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0032] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; 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; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0033] It should be noted that the data in this embodiment are all derived from a comprehensive analysis and evaluation of historical test data and corresponding historical test results from the system described in this invention over the three months prior to this test. Before this test, the system described in this invention comprehensively determines the preset values ​​stored in the database based on the analysis results of 25,863 cumulative tests over the previous three months and the processing results after handling 19,584 specific cases. Those skilled in the art will understand that the system described in this invention can determine the above-mentioned parameters for a single item by selecting the value with the highest proportion based on the data distribution as the preset standard parameter, using weighted summation to obtain the value as the preset standard parameter, substituting each historical data point into a specific formula and using the value obtained by the formula as the preset standard parameter, or other selection methods, as long as the system described in this invention can clearly define different specific situations in the single-item judgment process through the obtained values.

[0034] Please see Figure 1 As shown, it is a structural block diagram of the integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to the present invention, including: The heat dissipation module is located between the heat source inside the computing room and the building envelope. It includes a dual-mode infrared asymmetric photonic mirror, a sealed air gap and a high-reflection coating, which is used to provide a unidirectional radiative heat dissipation path from the inside of the computing room to the outdoor environment. The operating module, which is connected to the heat dissipation module, includes a cleaning device for spraying the heat dissipation surface. A heat transfer optimization module, which is connected to the heat dissipation module, includes an electrostatic adsorption device to suppress and remove charged particulate contaminants attached to the surface of the photonic mirror. An image sensing module, connected to the heat dissipation module, is used to collect image parameters of the ambient temperature of the building envelope. The image parameters include the thermal radiation surface, distance, overlap area, and angle of the area surrounding the photon mirror. The data acquisition module is connected to the heat import optimization module, the operation module and the image perception module, and is used to collect the state parameters of the two sides of the photon mirror, the sealed air gap and the inside and outside of the machine room in real time during each detection cycle. The state parameters include temperature gradient and mirror reflectivity. A data processing module, which is connected to the data acquisition module, is used to preprocess the received status parameters and image parameters; A data analysis module, connected to the data processing module, is used to determine whether the heat dissipation performance of the current system meets the standard based on the preprocessed state parameters and image parameters output by the data processing module; the data analysis module is also used to determine whether to generate a corresponding processing decision based on the determination result, and to determine whether to issue a processing decision for the power of the execution module based on the preprocessed state parameters and image parameters re-acquired after executing the processing decision. An execution module, which is connected to the data analysis module, is used to adjust the operating parameters of the corresponding module to the corresponding values ​​according to the processing decisions output by the data analysis module.

[0035] Specifically, during operation, the system of the present invention transmits the real-time operating data of the heat dissipation module, which is collected by the operation module, the heat import optimization module and the image perception module, to the data processing module. The data analysis module compares the pre-processed operating data with the preset parameters stored in the database to determine whether the effective heat radiation heat dissipation power density of the current system meets the standard. If it is determined that the standard is not met, a corresponding processing decision is generated based on the determined reason. The execution module outputs the results based on the received processing decision.

[0036] Specifically, the system described in this invention stores and manages the received processing results and constructs a database that can be continuously updated.

[0037] Please see Figure 2As shown, this is a flowchart illustrating how the system of the present invention determines whether its heat dissipation performance meets the standard based on the effective thermal radiation power density. The process includes: Specifically, the data analysis module described in this embodiment of the invention is used to determine whether the heat dissipation performance of the current system meets the standard based on the processing results of the data processing module and the calculated effective net radiative heat dissipation density, and to determine the cause based on the effective unidirectional radiative temperature difference if the system is found to be non-compliant with the standard. The effective net radiative heat dissipation density is the sum of the difference between the measured net radiative power value and the actual heat loss value and the additional heat dissipation gain value. The effective radiative heat dissipation power density is calculated using the following formula: , Where Pa is the measured net radiant power value, Lα is the actual heat loss value, and Gβ is the additional heat dissipation gain value.

[0038] In this embodiment, the preset effective thermal radiation heat dissipation power density P0 = 425 W / m 2 ; If the effective thermal radiation heat dissipation power density P is less than or equal to the preset effective thermal radiation heat dissipation power density P0, the data analysis module determines that the heat dissipation performance of the current system meets the standard. If the effective thermal radiation heat dissipation power density P is greater than the preset effective thermal radiation heat dissipation power density P0, the data analysis module determines that the heat dissipation performance of the current system does not meet the standard, and the data analysis module determines the cause based on the effective unidirectional radiation temperature difference conducted outward from inside the computer room.

[0039] It is understood that the database pre-stores minimum allowable effective thermal radiation heat dissipation power density thresholds for different types of data. Therefore, the above-mentioned assignment of the preset effective thermal radiation heat dissipation power density is only a preferred embodiment of the system of the present invention. The present invention does not impose specific restrictions on the value of the preset effective thermal radiation heat dissipation power density, as long as the comparison result between the obtained effective thermal radiation heat dissipation power density and the preset effective thermal radiation heat dissipation power density can directly determine the analysis status of the data analysis module.

[0040] Specifically, the data analysis module described in this embodiment of the invention is further used to determine the cause of non-compliance based on the effective unidirectional radiation temperature difference when it is determined that the heat dissipation performance of the current system does not meet the standard, and to make corresponding processing decisions based on the determined results. This includes issuing a processing decision on the average specular reflectivity of the photonic mirror when the cause is determined to be the degradation of the unidirectional radiation suppression function of the asymmetric photonic mirror, or issuing a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror when the cause is determined to be insufficient driving force for heat to be introduced from inside the computer room to the photonic mirror; wherein, the effective unidirectional radiation temperature difference is the difference between the average temperature of the inner surface of the photonic mirror and the average temperature of the inner wall surface of the sealed air gap. Specifically, the average temperature calculation benchmark is definitely obtained from the temperature of multiple measuring points, including setting two types of nodes: type A normal nodes, which are nodes in un-etched positions, and type B etched nodes, which are nodes that have been etched to obtain grooves of a specific depth. Specifically, the process of obtaining the effective unidirectional radiation temperature difference includes: acquiring the temperature data of type A and type B temperature measuring nodes distributed on the inner wall of the sealed air gap; wherein, type A nodes are located behind the orthographic projection of the non-etched area of ​​the high reflectivity surface of the photonic mirror, and type B nodes are located behind the orthographic projection of the etched groove area of ​​the high reflectivity surface of the photonic mirror; the ratio of the effective data acquisition quantity of type A nodes to type B nodes corresponds to the ratio of the area of ​​the non-etched area to the area of ​​the etched area on the high reflectivity surface of the photonic mirror; In this embodiment, the preset effective unidirectional radiation temperature difference T0 = 7k; If the effective one-way radiation temperature difference is greater than the preset effective one-way radiation temperature difference, the data analysis module determines that the cause is the degradation of the one-way radiation suppression function of the photonic mirror and issues a processing decision for the average specular reflectivity of the photonic mirror. If the effective unidirectional radiation temperature difference is less than or equal to the preset effective unidirectional radiation temperature difference, the data analysis module determines that the reason is insufficient driving force for heat to be introduced into the photon mirror from inside the computer room and issues a processing decision for the standard effective thermal radiation heat dissipation power density.

[0041] Please see Figure 3 The diagram shown is an optimization flowchart for the system described in this invention to address the degradation of the unidirectional radiation suppression function of the photonic mirror. The process includes: Specifically, in this embodiment of the invention, the data analysis module, upon determining that the unidirectional radiation suppression function of the asymmetric photonic mirror has deteriorated, reduces the average specular reflectivity of the photonic mirror based on the spray volume of the cleaning device, and the reduction in average specular reflectivity is positively correlated with the spray volume of the cleaning device; wherein, the spray volume of the cleaning device is the volumetric flow rate of the cleaning medium per unit area, and the average specular reflectivity of the photonic mirror is the average value of the ratio of the specular reflected light intensity to the incident light intensity measured by the Fourier transform infrared spectrometer; in this embodiment, the first preset spray volume Q1 = 25 mL / ( The second preset spray volume Q2 = 100 mL / ( The first reflection adjustment coefficient a1 = 1.25, the second reflection adjustment coefficient a2 = 1.35, and the third reflection adjustment coefficient a3 = 1.45; If the spray volume Q is greater than the second preset spray volume Q2, the data analysis module determines to use the third reflection adjustment coefficient a3 to adjust the average specular reflectivity R. If the spray volume Q is less than or equal to the second preset spray volume Q2 and greater than the first preset spray volume Q1, the data analysis module determines to use the second reflection adjustment coefficient a2 to adjust the average specular reflectivity R. If the spray volume Q is less than or equal to the first preset spray volume Q1, the data analysis module determines to use the first reflection adjustment coefficient a1 to adjust the average specular reflectivity R. When the data analysis module uses the j-th reflection adjustment coefficient aj to adjust the average specular reflectivity R, j=1, 2, 3, the adjusted average specular reflectivity R'=R×aj is set.

[0042] Specifically, in this embodiment of the invention, after adjusting the average specular reflectivity, the data analysis module further corrects the adjusted average specular reflectivity based on the neutralizing liquid ion exchange rate, and the increase in the adjusted average specular reflectivity is positively correlated with the neutralizing liquid ion exchange rate; wherein, the neutralizing liquid ion exchange rate is the number of moles of ions effectively removed from the surface of a unit area photonic mirror through a neutralization chemical reaction; in this embodiment, the first preset neutralizing liquid ion exchange rate v1 = 1.5 × 10 －6 (mol / ( The second preset neutralization liquid ion exchange rate v2 = 7.5 × 10⁻⁶ －6 (mol / ( The first reflection correction factor is f1 = 1.15, the second reflection correction factor is f2 = 1.25, and the third reflection correction factor is f3 = 1.35. If the neutralizing liquid ion exchange rate v is greater than the second preset neutralizing liquid ion exchange rate v2, the data analysis module determines to use the third reflection correction coefficient f3 to correct and adjust the average specular reflectivity R'. If the neutralizing liquid ion exchange rate v is less than or equal to the second preset neutralizing liquid ion exchange rate v2 and greater than the first preset neutralizing liquid ion exchange rate v1, the data analysis module determines to use the second reflection correction coefficient f2 to correct and adjust the average specular reflectivity R'. If the neutralizing liquid ion exchange rate v is less than or equal to the first preset neutralizing liquid ion exchange rate v1, the data analysis module determines to use the first reflection correction coefficient f1 to correct and adjust the average specular reflectivity R'. When the data analysis module uses the x-th reflection correction coefficient fx to correct the adjusted average specular reflectivity R', x=1, 2, 3, the corrected average specular reflectivity R”=R'×fx is set.

[0043] Specifically, in response to the first repeated detection condition, the data analysis module of this embodiment determines that the reason for not meeting the standard is that the driving force for heat to be introduced from the inside of the computer room to the photonic mirror is insufficient, and issues a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror. The first repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after adjusting the average specular reflectivity of the photonic mirror.

[0044] Please see Figure 4 As shown, this is an optimization flowchart of the system described in this invention for insufficient heat import driving force, and the process includes: Specifically, in this embodiment of the invention, the data analysis module is used to increase a preset effective thermal radiation heat dissipation power density based on the geometric degradation coefficient of the image perception module, and the increase in the preset effective thermal radiation heat dissipation power density is positively correlated with the geometric degradation coefficient; wherein, the geometric degradation coefficient is the reciprocal of the product of the solid angle density of the external interference source and the relative angle; in this embodiment, the first preset geometric degradation coefficient γ1=0.5, the second preset geometric degradation coefficient γ2=0.85, and the first power adjustment coefficient... 1 = 1.25, the second power regulation coefficient 2 = 1.45, the third power adjustment coefficient 3 = 1.65; If the geometric degradation coefficient γ is greater than the second preset geometric degradation coefficient γ2, the data analysis module determines to use the third power adjustment coefficient. 3. Adjust the preset effective heat radiation heat dissipation power density P0; If the geometric degradation coefficient γ is less than or equal to the second preset geometric degradation coefficient γ2 and greater than the first preset geometric degradation coefficient γ1, the data analysis module determines to use the second power adjustment coefficient. 2. Adjust the preset effective heat radiation heat dissipation power density P0; If the geometric degradation coefficient γ is less than or equal to the first preset geometric degradation coefficient γ1, the data analysis module determines to use the first power adjustment coefficient. 1. Adjust the preset effective thermal radiation heat dissipation power density P0; When the data analysis module uses the b-th power adjustment coefficient When adjusting the preset effective thermal radiation heat dissipation power density P0, b = 1, 2, 3, and the adjusted preset effective thermal radiation heat dissipation power density P0' = P0 × b.

[0045] Specifically, the data analysis module described in this embodiment of the invention is further used to adjust the preset effective thermal radiation heat dissipation power density according to the solid angle density of the nearby heat source, and the increase in the adjusted effective thermal radiation heat dissipation power density is positively correlated with the solid angle density of the nearby heat source; wherein, the solid angle density of the nearby heat source is a characterization parameter calculated based on the orientation of the photon mirror through spatial solid angle integration; in this embodiment, the first preset solid angle density of the nearby heat source Ω1=0.02, the second preset solid angle density of the nearby heat source Ω2=0.1, the first power correction coefficient λ1=1.05, the second power correction coefficient λ2=1.25, and the third power correction coefficient λ3=1.65; If the solid angle density of the nearby heat source is greater than the second preset solid angle density of the nearby heat source, the data analysis module determines that the preset effective heat radiation heat dissipation power density is corrected and adjusted using the third power correction coefficient λ3. If the solid angle density of the nearby heat source is less than or equal to the second preset solid angle density of the nearby heat source and greater than the first preset solid angle density of the nearby heat source, the data analysis module determines that the preset effective heat radiation heat dissipation power density after correction and adjustment is corrected using the second power correction coefficient λ2. If the solid angle density of the nearby heat source is less than or equal to the first preset solid angle density of the nearby heat source, the data analysis module determines that the preset effective heat radiation heat dissipation power density after correction and adjustment is used with the first power correction coefficient λ1. When the data analysis module uses the r-th power correction coefficient λr to correct the adjusted preset effective thermal radiation heat dissipation power density, r=1,2,3, the corrected adjusted preset effective thermal radiation heat dissipation power density P0”=P0'×λr is set.

[0046] Specifically, in response to the second repeated detection condition, the data analysis module of this embodiment determines that the reason for not meeting the standard is that the final path resistance of heat dissipation is too large, and issues a processing decision on the grating depth of the photonic mirror; wherein, the second repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after completing the adjustment of the preset effective net radiation heat dissipation density.

[0047] Specifically, the data analysis module described in this embodiment of the invention is further used to increase the grating depth of the photonic mirror according to the driving voltage of the operating module, and the increase in the grating depth of the photonic mirror is positively correlated with the driving voltage; wherein, the driving voltage is the measured DC voltage value at both ends of the inner side of the photonic mirror; in this embodiment, the first preset driving voltage U1=50V, the second preset driving voltage U2=150V, the first voltage adjustment coefficient n1=1.25, the second voltage adjustment coefficient n2=1.45, and the third voltage adjustment coefficient n3=1.65; If the driving voltage U is greater than the second preset driving voltage U2, the data analysis module determines to use the third voltage adjustment coefficient n3 to adjust the grating depth H. If the driving voltage U is less than or equal to the second preset driving voltage U2 and greater than the first preset driving voltage U1, the data analysis module determines to use the second voltage adjustment coefficient n2 to adjust the grating depth H. If the driving voltage U is less than or equal to the first preset driving voltage U1, the data analysis module determines to use the first voltage adjustment coefficient n1 to adjust the grating depth H. When the data analysis module uses the c-th voltage adjustment coefficient cn to adjust the grating depth H, c=1,2,3, the adjusted grating depth H'=H×cn is set.

[0048] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0049] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., 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 integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms, characterized in that, include: The heat dissipation module is located between the heat source inside the computing room and the building envelope. It includes a dual-mode infrared asymmetric photonic mirror, a sealed air gap and a high-reflection coating, which is used to provide a unidirectional radiative heat dissipation path from the inside of the computing room to the outdoor environment. The operating module, which is connected to the heat dissipation module, includes a cleaning device for spraying the heat dissipation surface. A heat transfer optimization module, which is connected to the heat dissipation module, includes an electrostatic adsorption device to suppress and remove charged particulate contaminants attached to the surface of the photonic mirror. An image sensing module, connected to the heat dissipation module, is used to collect image parameters of the ambient temperature of the building envelope. The image parameters include the thermal radiation surface, distance, overlap area, and angle of the area surrounding the photon mirror. The data acquisition module is connected to the heat import optimization module, the operation module and the image perception module, and is used to collect the state parameters of the two sides of the photon mirror, the sealed air gap and the inside and outside of the machine room in real time during each detection cycle. The state parameters include temperature gradient and mirror reflectivity. A data processing module, which is connected to the data acquisition module, is used to preprocess the received status parameters and image parameters; A data analysis module, connected to the data processing module, is used to determine whether the heat dissipation performance of the current system meets the standard based on the preprocessed state parameters and image parameters output by the data processing module; the data analysis module is also used to determine whether to generate a corresponding processing decision based on the determination result, and to determine whether to issue a processing decision for the power of the execution module based on the preprocessed state parameters and image parameters re-acquired after executing the processing decision. An execution module, which is connected to the data analysis module, is used to adjust the operating parameters of the corresponding module to the corresponding values ​​according to the processing decisions output by the data analysis module.

2. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 1, characterized in that, The data analysis module is used to determine whether the heat dissipation performance of the current system meets the standard based on the processing results of the data processing module and the calculated effective net radiative heat dissipation density, and to determine the cause based on the effective unidirectional radiative temperature difference if the system is found to be non-compliant with the standard. The effective net radiative heat dissipation density is the sum of the difference between the measured net radiative power value and the actual heat loss value and the additional heat dissipation gain value.

3. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 2, characterized in that, The data analysis module is also used to determine the cause of non-compliance based on the effective unidirectional radiation temperature difference when it is determined that the heat dissipation performance of the current system does not meet the standard, and to make corresponding processing decisions based on the determined results. This includes issuing a processing decision on the average specular reflectivity of the photonic mirror when the cause is determined to be the degradation of the unidirectional radiation suppression function of the asymmetric photonic mirror, or issuing a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror when the cause is determined to be insufficient driving force for heat to be introduced from the inside of the computer room to the photonic mirror; wherein, the effective unidirectional radiation temperature difference is the difference between the average temperature of the inner surface of the photonic mirror and the average temperature of the inner wall surface of the sealed air gap.

4. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 3, characterized in that, The data analysis module, upon determining that the unidirectional radiation suppression function of the asymmetric photonic mirror has deteriorated, reduces the average specular reflectivity of the photonic mirror based on the spray volume of the cleaning device, and the reduction in average specular reflectivity is positively correlated with the spray volume of the cleaning device; wherein, the spray volume of the cleaning device is the volumetric flow rate of the cleaning medium per unit area, and the average specular reflectivity of the photonic mirror is the average value of the ratio of the intensity of the reflected light to the intensity of the incident light measured by the Fourier transform infrared spectrometer.

5. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 4, characterized in that, After adjusting the average specular reflectivity, the data analysis module further corrects the adjusted average specular reflectivity based on the neutralizing liquid ion exchange rate. The increase in the adjusted average specular reflectivity is positively correlated with the neutralizing liquid ion exchange rate. The neutralizing liquid ion exchange rate is the number of moles of ions effectively removed from the surface of a unit area photonic mirror through a neutralization chemical reaction.

6. The integrated asymmetric radial enclosure heat dissipation system for computing rooms according to claim 5, characterized in that, In response to the first repeated detection condition, the data analysis module determines that the reason for non-compliance with the standard is insufficient driving force for heat to be introduced from inside the computer room to the photonic mirror, and issues a processing decision on the effective convective heat transfer coefficient of the inner surface of the photonic mirror. The first repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after adjusting the average specular reflectivity of the photonic mirror.

7. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 6, characterized in that, The data analysis module is used to increase the preset effective thermal radiation heat dissipation power density according to the geometric degradation coefficient of the image perception module, and the increase in the preset effective thermal radiation heat dissipation power density is positively correlated with the geometric degradation coefficient; wherein, the geometric degradation coefficient is the reciprocal of the product of the solid angle density of the external interference source and the relative angle.

8. The integrated asymmetric radial enclosure heat dissipation system for computing power rooms according to claim 7, characterized in that, The data analysis module is also used to correct the preset effective thermal radiation heat dissipation power density according to the solid angle density of the nearby heat source, and the increase in the adjusted effective thermal radiation heat dissipation power density is positively correlated with the solid angle density of the nearby heat source; wherein, the solid angle density of the nearby heat source is a characterization parameter calculated by spatial solid angle integration based on the orientation of the photon mirror.

9. The integrated asymmetric radial enclosure heat dissipation system for computing power computer rooms according to claim 8, characterized in that, The data analysis module responds to the second repeated detection condition, determines that the reason for not meeting the standard is that the final path resistance of heat dissipation is too large, and issues a processing decision on the grating depth of the photonic mirror; wherein, the second repeated detection condition is that the data analysis module re-determines that the heat dissipation performance of the current system does not meet the standard after adjusting the preset effective net radiation heat dissipation density.

10. The integrated asymmetric radial enclosure heat dissipation system for computing rooms according to claim 9, characterized in that, The data analysis module is also used to increase the grating depth of the photonic mirror according to the driving voltage of the operating module, and the increase in the grating depth of the photonic mirror is positively correlated with the driving voltage; wherein, the driving voltage is the measured DC voltage value at both ends of the inner side of the photonic mirror.

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