Visual display cooling fan and cooling monitoring method

Abstract

The invention provides a visual display cooling fan and a cooling monitoring method, and relates to the technical field of computer cooling. The method comprises the following steps: acquiring working performance data of the cooling fan, and extracting performance change data and performance effect data; performing performance feature analysis based on time dimension according to the performance change data to form performance change feature data; performing effect mapping analysis according to the performance effect data in combination with the performance change feature data to form performance effect feature data; collecting real-time heat dissipation data, and performing performance monitoring analysis according to the performance effect feature data to form performance effect monitoring analysis result data; and forming performance monitoring display information according to the performance effect monitoring analysis result data. According to the method, more intuitive and effective real-time monitoring of the cooling fan can be realized, and the individuation and intellectualization of use are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer heat dissipation, and in particular to a visual display heat dissipation fan and a heat dissipation monitoring method. Background Art

[0002] Computers, especially large computers or computing base stations, have high power consumption, resulting in high heat generation. This large amount of heat energy can affect computer performance, necessitating heat dissipation. Currently, there are two main methods for cooling computers: liquid cooling and air cooling. Liquid cooling primarily utilizes a refrigerant with high thermal conductivity to achieve sufficient heat exchange. However, the use of refrigerant increases costs, while air cooling achieves reasonable and efficient heat exchange at a lower cost, removing the large amount of heat generated by the computer and maintaining a stable operating temperature.

[0003] Of course, air cooling is mainly achieved in the form of a cooling fan. The current cooling fans mainly simply rotate the fan blades to accelerate the air flow and take away the heat. However, there is no intuitive and effective monitoring of the cooling fans, especially the effects of the fan blade rotation. Therefore, it is impossible to accurately and reasonably analyze and judge the operating efficiency and cooling effect of the cooling fans.

[0004] Therefore, designing a visual display cooling fan and cooling monitoring method to achieve more intuitive and effective real-time monitoring of the cooling fan and improve the personalization and intelligence of use is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of the present invention is to provide a heat dissipation monitoring method. By acquiring data on different working modes and working hours of a heat dissipation fan based on the time dimension, a mapping relationship between factors related to working time that affect its heat dissipation performance and power and heat dissipation effect is established. On the one hand, the two factors related to the working time and the working mode on the time parameter are mainly considered, which reduces the complexity of data analysis, but ensures the rationality of the relationship analysis of the impact of changes in the performance effect of the heat dissipation fan, and improves the efficiency of data analysis. On the other hand, all parameters that affect the performance effect of the heat dissipation fan are unified into the time dimension for consideration, that is, the effects of the factors that have a major impact on the performance effect are uniformly integrated into the working time and the way the working time changes based on the time dimension, so that the analysis is relatively rational while ensuring sufficiency. In this way, it is possible to accurately and reasonably monitor abnormal changes in the performance effect of the heat dissipation fan, realize reasonable monitoring display, and provide a data basis for the visual management of the heat dissipation fan.

[0006] The purpose of the present invention is also to provide a visual visual display cooling fan, which can provide the required power for driving the fan blades through a USB data cable, and can also realize data transmission between the fan and the PCB integrated circuit component. At the same time, the visual display module on the PCB integrated circuit component can reasonably and intuitively display the parameter data and analysis data monitored by the cooling fan, expanding the functions and application scenarios of the cooling fan in the field of computer heat dissipation, and bringing customers a more intelligent and humanized usage experience.

[0007] In a first aspect, the present invention provides a heat dissipation monitoring method, comprising: obtaining working performance data of a heat dissipation fan, extracting performance change data and performance effect data; performing a performance characteristic analysis based on a time dimension according to the performance change data to form performance change characteristic data; performing an effect mapping analysis according to the performance effect data and in combination with the performance change characteristic data to form performance effect characteristic data; collecting real-time heat dissipation data, and performing performance monitoring and analysis according to the performance effect characteristic data to form performance effect monitoring and analysis result data; and forming performance monitoring display information according to the performance effect monitoring and analysis result data.

[0008] In the present invention, the method establishes a mapping relationship between factors related to working time that affect the heat dissipation performance of the heat dissipation fan and power and heat dissipation effect by obtaining data on different working modes and working hours based on the time dimension. On the one hand, it mainly considers the two factors related to the working time and the working mode on the time parameter, which reduces the complexity of data analysis, but ensures the rationality of the relationship analysis of the impact of changes in the performance effect of the heat dissipation fan, and improves the efficiency of data analysis. On the other hand, all parameters that affect the performance effect of the heat dissipation fan are unified into the time dimension for consideration, that is, the effects of the factors that have a major impact on the performance effect are uniformly integrated into the working time and the way the working time changes based on the time dimension, so that the analysis is relatively reasonable while ensuring sufficiency. In this way, it is possible to accurately and reasonably monitor abnormal changes in the performance effect of the heat dissipation fan, realize reasonable monitoring and display, and provide a data basis for the visual management of the heat dissipation fan.

[0009] As a possible implementation method, a performance characteristic analysis based on the time dimension is performed based on the performance change data to form performance change characteristic data, including: determining the cumulative working time data of different cooling fans of the same type in the time dimension based on the performance change data, and forming the corresponding cumulative change function A of the same type of working time n (t), n represents the number of different cooling fans of the same type, and t represents the time parameter; according to the performance change data, the working time ratio change data of different cooling fans of the same type in the time dimension is determined to form the corresponding working time ratio change function R of the same type n(t); According to the performance change data, determine the power change data of different cooling fans of the same type in the time dimension, and form the corresponding power change data P of the same type n (t); For different cooling fans of the same type, the cumulative change function A of the corresponding same type of working time n (t), the change function of the proportion of working hours of the same type R n (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form same-type performance relationship data; collect same-type performance relationship data corresponding to different cooling fans of the same type to form performance change characteristic data.

[0010] In the present invention, reasonable and accurate monitoring of the working status of the cooling fan requires the establishment of reference comparative data on the normal performance and effect degradation of the cooling fan during use. It is understandable that there are multiple factors that affect the performance and effect of the cooling fan, and the types are different. If data collection and processing are performed separately for multiple influencing factors, the amount of data will be huge and the analysis difficulty will increase. Considering the changes in the performance and effect of the cooling fan, the most obvious is the change based on the influence of time parameters. Many factors that affect the performance and effect, such as the resistance value of the circuit, the friction performance of the mechanical structure, the quality of the point contact, the effect of the controller, etc., will change over time and have a significant time accumulation effect. Therefore, a reasonable and in-depth analysis of the time parameters can be performed to determine the impact of multiple factors on the performance and effect of the cooling fan projected on the time accumulation effect. This application mainly considers two aspects in terms of time parameters. On the one hand, it is the actual working time of the heat dissipation fan. The increase in the actual working time will inevitably cause the performance and effect of the heat dissipation fan to decline, and this decline also includes the effects of multiple factors under the cumulative effect of time. Of course, factors such as the friction performance of the mechanical structure and the quality of point contact will also affect the performance and effect when the heat dissipation fan is not working. However, considering that the actual use scenarios of the heat dissipation fan are mostly computers or workstations that work for a long time, it is rare to stop for a long time, and the impact of such factors on the performance and effect during non-working time can be ignored. On the other hand, it is the working mode of the heat dissipation fan. The working mode here is mainly the frequency of start and stop. After all, frequent start and stop and the interval between start and stop have a significant impact on electrical performance, especially, so the frequency of start and stop needs to be considered. Here, the start and stop frequency is characterized by the change in the proportion of working time relative to usage time. Combining two data based on time parameters can realize the analysis of the impact of the cumulative effect of multiple factors on the changes in the performance and effect of the heat dissipation fan.

[0011] As a possible implementation method, for different cooling fans of the same type, the cumulative change function A of the corresponding same type of working time is calculated. n(t), the change function of the proportion of working hours of the same type R n (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form the same type of performance relationship data, including: arbitrarily determine M time points during the use time of the cooling fan and record them as analysis time points And according to the same type of power change data P n (t) Determine the analysis time point The power at the corresponding time point m is the sequence number of the different time points determined; for different analysis time points From the cumulative change function A of the same type of work hours n (t) determines the time from the start of use to the analysis point Corresponding interception of the cumulative change function of the same type of work time From the change function of the same type of working hours ratio R n (t) Determine the time from the start of use to the analysis point Corresponding interception of the same type of working hours ratio change function According to different analysis time points According to the corresponding interception of the cumulative change function of the same type of work time Intercept the change function of the same type of working hours And the power at the time point The following intercept power impact relationships were determined: Among them, P0 is the rated power of the cooling fan, U k Expresses the cumulative impact of time, U k =α0+(α1) 1 +…+(α k ) k , α k is the cumulative impact factor of time, V i Indicates the influence of duration ratio, V i =β0+(β1) 1 +…+(β i ) i , β i is the cumulative impact factor of duration; the intercepted power impact relationship is verified and adjusted based on tolerance to form the same type of performance relationship data corresponding to the cooling fan.

[0012] In the present invention, the impact of different cooling fan time parameters on performance and effectiveness can lead to varying performance and effectiveness degradation due to differences in operating mode and operating duration, thus requiring separate determination of impact. Considering that analyzing the performance and effectiveness relationship based solely on the total duration of use ignores short-term performance fluctuations, particularly those caused by changes in frequency of use, this application employs a segmented extraction approach to obtain cumulative effect data of varying durations to establish separate impact relationships. Verification and analysis then determine whether there is data that reflects the overall trend of cooling fan performance degradation. It should be noted that to avoid similar results due to arbitrarily selected adjacent time points being too close together, each analysis time point can be determined by specifying a specific time interval. The two impact correlation equations for operating hours and work-hour ratio, which essentially reflect the cumulative effects of multiple factors on cooling fan performance and effectiveness over time, are not necessarily simple linear relationships and are therefore expressed as multiple powers. The terms in the impact correlation equations can be determined by extracting data from multiple time points within a selected time period to form a relationship. Of course, the extracted time point data must ensure that the number of terms in the two impact correlation equations is no less than that in the two impact correlation equations. The power can be determined based on actual conditions. Higher powers yield higher accuracy, but also increase the complexity of obtaining the data. Therefore, the power should be determined based on actual accuracy requirements. For cooling fans, performance changes are primarily reflected in power. Therefore, two time-based parameters are correlated with power data to characterize performance changes.

[0013] As a possible implementation method, the intercepted power influence relationship is verified and adjusted based on the tolerance to form the same type of performance relationship data corresponding to the cooling fan, including: arbitrarily determining the same analysis time point during the use time of the cooling fan Any three different verification time points T test , and obtain each verification time point T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours And the verification power P test ; According to the verification time point T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours Combined with the influence of different interception powers, the corresponding verification time point T is determined. test The corresponding calculation power According to different verification time points T test The corresponding calculation power and verification power P test, the following verification adjustment analysis is performed on the influence relationship of different interception powers: If there is an interception power influence relationship, the three verification time points T test Calculate power Same as verification power P test If the sum of the differences does not exceed the verification tolerance value, then all intercepted power influence relationships that meet the requirements are averaged and fitted with the same influence relationship formula to form the fitted power influence relationship, which is determined as the same type of performance relationship data corresponding to the cooling fan. If there is no interception power influence relationship, the three verification time points T test The upper computing power Same as verification power P test If the sum of the differences exceeds the validation tolerance, re-analysis of M non-repeated time points is performed. The selection of different interception power influence relationships is determined until there is an interception power influence relationship that makes the three verification time points T test Calculate power Same as verification power P test The sum of the differences does not exceed the verification tolerance value, and the fitted power influence relationship formed by the homogenization fitting of the same influence relationship formula for all the newly formed intercepted power influence relationships that meet the requirements is determined as the performance relationship data of the same type corresponding to the cooling fan.

[0014] In the present invention, for the performance relationship established for the cooling fan, considering that the arbitrariness of the analysis time point may affect the accuracy of the analysis, it is necessary to perform verification and adjustment. The verification and adjustment method here is to arbitrarily obtain three verification time points again and compare the power data corresponding to the time points with the power data determined based on the performance relationship for analysis and determination. Of course, since the performance relationship provides m data, it is possible to verify the applicability, that is, to determine the performance relationship that meets the requirements as reasonable relationship data. If multiple performance relationships are met, the same type of influence correlation is averaged and fitted based on the function, that is, the function curve of each influence correlation is determined, the average value on each coordinate is obtained and then fitted to form the corresponding influence correlation, and finally expressed as the same performance relationship, which is the corresponding same type of performance relationship data. If there is no performance relationship that meets the requirements, considering the impact of the arbitrariness of m on the establishment of the performance relationship, m analysis time points are re-obtained and the entire process from performance relationship to verification analysis is re-processed until a performance relationship that meets the requirements appears. The verification tolerance value can be set according to actual conditions or determined based on big data analysis. It should be noted here that the difference between different performance relationship data of the same type lies in the different usage methods and usage durations, and the same type means that the working conditions of the cooling fans are the same, that is, the computers and usage environments are the same or similar.

[0015] As a possible implementation method, based on the performance effect data and combined with the performance change characteristic data, effect mapping analysis is performed to form performance effect characteristic data, including: based on the performance effect data, determining the heat dissipation effect data of different cooling fans of the same type based on the time dimension, and forming the heat dissipation effect change data G of the same type. n (t); Map the same type of heat dissipation effect change data and the corresponding same type of performance relationship data based on the time dimension to form corresponding same type of performance effect characteristic data; collect the same type of performance effect characteristic data corresponding to all different cooling fans of the same type to form performance effect characteristic data.

[0016] In the present invention, it is understood that for a cooling fan, power data is the data that mainly characterizes the fan's electrical performance, and the cooling fan ultimately converts electrical energy into kinetic energy to drive the fan for heat dissipation, and fan heat dissipation is the ultimate effect to be seen. Meeting the power requirements does not necessarily achieve the corresponding effect. Therefore, it is necessary to map the fan's heat dissipation effect with the power data to provide a reference for analyzing both electrical performance and heat dissipation effects during subsequent monitoring and analysis. Here, the heat dissipation effect is expressed by the amount of heat dissipated per unit time, and the heat dissipation rate is mapped to the corresponding power change data in the time dimension to form complete performance and effect relationship data.

[0017] As a possible implementation method, based on the performance effect data, the heat dissipation effect data of different cooling fans of the same type based on the time dimension is determined to form the heat dissipation effect change data G of the same type. n (t), including: for different cooling fans of the same type, according to the performance effect data, respectively determine the working temperature monitoring change function W based on the time dimension n (t) and the ambient temperature monitoring function H n (t); According to the working temperature monitoring function W corresponding to the cooling fan n (t) and the ambient temperature monitoring change function t(t), determine the same type of heat dissipation change data L n (t), where L n (t)=C*Z*|W n (t)-H n (t)|, where C is the specific heat capacity of air and Z is the mass flow rate of the cooling fan; according to the same type of heat dissipation change data L n (t), determine the corresponding heat dissipation effect change data G of the same type n (t), where G n (t) is L n (t) The first derivative of the time parameter.

[0018] In this invention, the heat dissipation effect is characterized by the heat dissipation rate. Since the amount of heat dissipated at different operating times varies due to performance changes, the heat dissipation rate also changes with time, matching the power changes in the time dimension. The heat dissipation rate is mainly related to the ambient temperature and operating temperature in the time dimension. At the same time, the air mass flow rate provided by the fan is also data related to the fan speed. These all have time characteristics, so obtaining these parameters at the corresponding time point can determine the corresponding heat dissipation rate.

[0019] As a possible implementation method, real-time heat dissipation data is collected, and performance monitoring and analysis is performed based on the performance effect characteristic data to form performance effect monitoring and analysis result data, including: extracting the real-time working time cumulative change function A of the cooling fan based on the real-time heat dissipation data time (t), real-time working hours ratio change function R time (t), real-time power P time And real-time heat dissipation rate g time ;According to the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal ; According to the real-time power P time , combined with the performance effect characteristic data, determine the real-time mapping heat dissipation rate g cal ; According to the real-time power P time , real-time heat dissipation rate g time , Real-time calculation of power P cal And real-time mapping of heat dissipation rate g cal , conduct performance monitoring and analysis, and form performance effect monitoring and analysis result data.

[0020] In the present invention, after obtaining the characteristic data of the relationship between performance and effect corresponding to different working modes and working hours under big data, it can be used to monitor the real-time data of the cooling fan. The monitoring and analysis method is to determine the corresponding calculated power based on the working time change data and working hour ratio change data of the cooling fan at the current time combined with the matching working mode and working time performance and effect relationship characteristic data, and then determine the corresponding mapping heat dissipation rate through the mapping relationship, and then compare the two matched corresponding parameters with the real-time power and real-time heat dissipation rate to determine whether the performance and effect changes of the current cooling fan are normal. It is worth noting here that the characteristic data of the relationship between performance and effect corresponding to different working modes and working hours under big data are used as reference comparison data. In the initial stage of data collection, the average data can be used as the benchmark, that is, the relationship between performance and effect of the same working mode and working time can select the middle data as the corresponding representative characteristic data. The centrality can be determined by the power change rate. That is, the data with a power change rate close to the average value is used as the representative characteristic data, so that the subsequent analysis is more reasonable and accurate.

[0021] As a possible implementation method, according to the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal , including: based on the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), determine the real-time equivalent cumulative amount of working hours Q corresponding to the current time point time ,in, Among them, T time Indicates the real-time total duration of the cooling fan from the start of use to the current time point; for different performance relationship data of the same type, according to the real-time total duration T time And the corresponding cumulative change function A of the same type of work time n (t) and the change function of the same type of working hours ratio R n (t), determine the corresponding equivalent cumulative amount of the same type of working hours Q n ,in, According to the different equivalent cumulative amount of the same type of working hours Q n , determine the cumulative amount Q equivalent to the real-time working hours time The closest equivalent cumulative amount of the same type of working hours Q n , and determine the corresponding performance relationship data of the same type as the monitoring comparison data; based on the monitoring comparison data, and combined with the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time(t), determine the real-time calculation power P cal .

[0022] In the present invention, determining the real-time calculated power first requires determining the performance and effect relationship characteristic data that best matches the current cooling fan in terms of operating mode and operating hours. This is determined by comparing the cumulative effects of two time-based parameters for the same duration, that is, the performance and effect relationship characteristic data that is closest to the sum of the cumulative working hours and the cumulative working hours proportion in the corresponding real-time total duration is used as the reference data for analysis and comparison. It should be noted that although the sum of the cumulative working hours and the cumulative working hours proportion is general, they are also closely related. That is, when the working hours remain unchanged, the working hours proportion will decrease, and when the working hours increase, the working hours proportion will increase. Therefore, the existence of data with different operating modes and operating hours will not result in the same or similar cumulative working hours and working hours proportion after adding the cumulative working hours and working hours proportion of the data that matches the matching working mode and operating hours. Therefore, this matching judgment method is reasonable and accurate.

[0023] As a possible implementation method, according to the real-time power P time , real-time heat dissipation rate g time , Real-time calculation of power P cal And real-time mapping of heat dissipation rate g cal , perform performance monitoring and analysis, and form performance effect monitoring and analysis result data, including: time -P cal |≤P pass , and the absolute value |g time -g cal |≤g pass , then the performance effect is normal information.

[0024] The beneficial effects of the visual display heat dissipation fan and heat dissipation monitoring method provided by the present invention are:

[0025] This method establishes a mapping relationship between factors related to working time that affect the cooling performance of the cooling fan and power and cooling effect by acquiring data on different working modes and working hours based on the time dimension. On the one hand, it mainly considers the two factors of working time and working mode that are related to time parameters, which reduces the complexity of data analysis, but ensures the rationality of the relationship analysis of the impact of changes in the cooling fan performance effect, and improves the efficiency of data analysis. On the other hand, all parameters that affect the cooling fan performance effect are unified into the time dimension for consideration, that is, the effects of the factors that have a major impact on the performance effect are uniformly integrated into the working time and the way the working time changes based on the time dimension, so that the analysis is relatively reasonable while ensuring adequacy. In this way, it can accurately and reasonably realize the monitoring of abnormal changes in the performance effect of the cooling fan, realize reasonable monitoring display, and provide a data foundation for the visual management of the cooling fan.

[0026] The fan can provide the required power to drive the fan blades and realize data transmission between the fan and the PCB integrated circuit components through the USB data cable. At the same time, the visual display module on the PCB integrated circuit components can provide a reasonable and intuitive visual display of the parameter data and analysis data monitored by the cooling fan, expanding the functions and application scenarios of the cooling fan in the field of computer heat dissipation, and bringing customers a more intelligent and humanized user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0028] Figure 1 A diagram showing the steps of a heat dissipation monitoring method provided by an embodiment of the present invention;

[0029] Figure 2 A schematic diagram of the structure of a visually display heat dissipation fan provided by an embodiment of the present invention;

[0030] Figure 3 An expanded comparison diagram of a visual display of a heat dissipation fan provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

[0032] Computers, especially large computers or computing base stations, have high power consumption, resulting in high heat generation. This large amount of heat energy can affect computer performance, necessitating heat dissipation. Currently, there are two main methods for cooling computers: liquid cooling and air cooling. Liquid cooling primarily utilizes a refrigerant with high thermal conductivity to achieve sufficient heat exchange. However, the use of refrigerant increases costs, while air cooling achieves reasonable and efficient heat exchange at a lower cost, removing the large amount of heat generated by the computer and maintaining a stable operating temperature.

[0033] Of course, air cooling is mainly achieved in the form of a cooling fan. The current cooling fans mainly simply rotate the fan blades to accelerate the air flow and take away the heat. However, there is no intuitive and effective monitoring of the cooling fans, especially the effects of the fan blade rotation. Therefore, it is impossible to accurately and reasonably analyze and judge the operating efficiency and cooling effect of the cooling fans.

[0034] refer to Figure 1-Figure 2 , an embodiment of the present invention provides a heat dissipation monitoring method.

[0035] A heat dissipation monitoring method specifically includes the following steps:

[0036] S1: Obtain working performance data of the cooling fan, and extract performance change data and performance effect data.

[0037] The operating performance data primarily includes the operating performance data of different cooling fans of the same type. The performance change data to be extracted includes the change data of factors affecting the cooling fan's performance and the change data of corresponding performance parameters, so as to facilitate the subsequent extraction of reasonable interrelationship feature data. The performance effect data includes the cooling effect data of different cooling fans, providing a reference for subsequent reasonable cooling effect characterization.

[0038] S2: Perform performance characteristic analysis based on the time dimension according to the performance change data to generate performance change characteristic data.

[0039] Performing a time-based performance characteristic analysis based on the performance change data to form performance change characteristic data, including: determining the cumulative working time data of different cooling fans of the same type in the time dimension based on the performance change data, and forming a corresponding cumulative change function A of the same type of working time. n (t), n represents the number of different cooling fans of the same type, and t represents the time parameter; according to the performance change data, the working time ratio change data of different cooling fans of the same type in the time dimension is determined to form the corresponding working time ratio change function R of the same type n(t); According to the performance change data, determine the power change data of different cooling fans of the same type in the time dimension, and form the corresponding power change data P of the same type n (t); For different cooling fans of the same type, the cumulative change function A of the corresponding same type of working time n (t), the change function of the proportion of working hours of the same type R n (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form same-type performance relationship data; collect same-type performance relationship data corresponding to different cooling fans of the same type to form performance change characteristic data.

[0040] To properly and accurately monitor the working status of cooling fans, it is necessary to establish reference comparative data on the normal performance and effectiveness degradation of cooling fans during use. It is understandable that there are many factors that affect the performance and effectiveness of cooling fans, and they are of different types. If data collection and processing are performed separately for each of these factors, the amount of data will be enormous and the analysis will be difficult. When considering the changes in the performance and effectiveness of cooling fans, the most obvious is the change based on the influence of time parameters. Many factors that affect performance and effectiveness, such as circuit resistance, mechanical structure friction, point contact quality, and controller effectiveness, will change over time and have a significant time-accumulation effect. Therefore, a reasonable and in-depth analysis of time parameters can be performed to determine the impact of multiple factors on the performance and effectiveness of cooling fans projected on the time-accumulation effect. This application mainly considers two aspects in terms of time parameters. On the one hand, it is the actual working time of the heat dissipation fan. The increase in the actual working time will inevitably cause the performance and effect of the heat dissipation fan to decline, and this decline also includes the effects of multiple factors under the cumulative effect of time. Of course, factors such as the friction performance of the mechanical structure and the quality of point contact will also affect the performance and effect when the heat dissipation fan is not working. However, considering that the actual use scenarios of the heat dissipation fan are mostly computers or workstations that work for a long time, it is rare to stop for a long time, and the impact of such factors on the performance and effect during non-working time can be ignored. On the other hand, it is the working mode of the heat dissipation fan. The working mode here is mainly the frequency of start and stop. After all, frequent start and stop and the interval between start and stop have a significant impact on electrical performance, especially, so the frequency of start and stop needs to be considered. Here, the start and stop frequency is characterized by the change in the proportion of working time relative to usage time. Combining two data based on time parameters can realize the analysis of the impact of the cumulative effect of multiple factors on the changes in the performance and effect of the heat dissipation fan.

[0041] For different cooling fans of the same type, the cumulative change function A is calculated based on the corresponding working hours of the same type. n (t), the change function of the proportion of working hours of the same type Rn (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form the same type of performance relationship data, including: arbitrarily determine M time points during the use time of the cooling fan and record them as analysis time points And according to the same type of power change data P n (t) Determine the analysis time point The power at the corresponding time point m is the sequence number of the different time points determined; for different analysis time points From the cumulative change function A of the same type of work hours n (t) determines the time from the start of use to the analysis point Corresponding interception of the cumulative change function of the same type of work time From the change function of the same type of working hours ratio R n (t) Determine the time from the start of use to the analysis point Corresponding interception of the same type of working hours ratio change function According to different analysis time points According to the corresponding interception of the cumulative change function of the same type of work time Intercept the change function of the same type of working hours And the power at the time point The following intercept power impact relationships were determined: Among them, P0 is the rated power of the cooling fan, U k It represents the cumulative effect of time, H k =α0+(α1) 1 +…+(α k ) k , α k is the cumulative impact factor of time, V i Indicates the influence of duration ratio, V i =β0+(β1) 1 +…+(β i ) i , β i is the cumulative impact factor of duration; the intercepted power impact relationship is verified and adjusted based on tolerance to form the same type of performance relationship data corresponding to the cooling fan.

[0042] The impact of different cooling fans on performance and effectiveness over time parameters can lead to varying performance and effectiveness degradation due to varying operating modes and operating hours, necessitating separate determinations of these impacts. Considering that analyzing the relationship between performance and effectiveness based solely on total operating time ignores short-term performance fluctuations, particularly those caused by changes in frequency of use, this application employs a segmented extraction approach to obtain cumulative effect data of varying durations to establish separate impact relationships. Verification and analysis then determine whether there is data that reflects the overall trend of cooling fan performance degradation. It should be noted that to avoid similar results due to arbitrarily selected adjacent time points being too close together, each analysis time point can be determined by specifying a specific time interval. The two impact correlation equations for operating hours and work-hour ratios, which essentially reflect the cumulative effects of multiple factors on cooling fan performance and effectiveness over time parameters, are not necessarily simple linear relationships and are therefore expressed as multiple powers. The terms in the impact correlation equations can be determined by extracting data from multiple time points within a selected time period to form a relationship. However, the extracted time point data must ensure that the number of terms in the two impact correlation equations is no less than that in the two impact correlation equations. The power can be determined based on actual conditions. Higher powers yield higher accuracy, but also increase the complexity of obtaining the data. Therefore, the power should be determined based on actual accuracy requirements. For cooling fans, performance changes are primarily reflected in power. Therefore, two time-based parameters are correlated with power data to characterize performance changes.

[0043] Conduct tolerance-based verification and adjustment analysis on the intercepted power impact relationship to form the corresponding performance relationship data of the same type of cooling fan, including: arbitrarily determine the same analysis time point during the use time of the cooling fan Any three different verification time points T test , and obtain each verification time point T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours And the verification power P test ; According to the verification time point T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours Combined with the influence of different interception powers, the corresponding verification time point T is determined. test The corresponding calculation power According to different verification time points T test The corresponding calculation power and verification power P test, the following verification adjustment analysis is performed on the influence relationship of different interception powers: If there is an interception power influence relationship, the three verification time points T test Calculate power Same as verification power P test If the sum of the differences does not exceed the verification tolerance value, then all intercepted power influence relationships that meet the requirements are averaged and fitted with the same influence relationship formula to form the fitted power influence relationship, which is determined as the same type of performance relationship data corresponding to the cooling fan. If there is no interception power influence relationship, the three verification time points T test The upper computing power Same as verification power P test If the sum of the differences exceeds the validation tolerance, re-analysis of M non-repeated time points is performed. The selection of different interception power influence relationships is determined until there is an interception power influence relationship that makes the three verification time points T test Calculate power Same as verification power P test The sum of the differences does not exceed the verification tolerance value, and the fitted power influence relationship formed by the homogenization fitting of the same influence relationship formula for all the newly formed intercepted power influence relationships that meet the requirements is determined as the performance relationship data of the same type corresponding to the cooling fan.

[0044] For the performance relationship established for cooling fans, verification and adjustment are necessary, considering that the arbitrariness of analysis time points may affect the accuracy of the analysis. Verification and adjustment are performed by randomly obtaining three verification time points again and comparing the power data corresponding to those time points with the power data determined based on the performance relationship. Since the performance relationship provides m data, applicability verification can be performed. This means determining the performance relationship that meets the requirements as reasonable relationship data. If multiple performance relationships meet the requirements, the same type of influence correlation is fitted based on a function-based average. This means determining the function curve for each influence correlation, obtaining the average value at each coordinate, and then fitting the corresponding influence correlation. Finally, expressing the same performance relationship as the corresponding performance relationship data is the corresponding performance relationship data. If no performance relationship meets the requirements, considering the impact of the arbitrariness of m on the establishment of the performance relationship, m analysis time points are re-obtained and the entire process from performance relationship to verification analysis is repeated until a performance relationship that meets the requirements emerges. The verification tolerance value can be set based on actual conditions or determined based on big data analysis. It should be noted here that the difference between different performance relationship data of the same type lies in the different usage methods and usage durations, and the same type means that the working conditions of the cooling fans are the same, that is, the computers and usage environments are the same or similar.

[0045] S3: Perform effect mapping analysis based on the performance effect data and in combination with the performance change characteristic data to form performance effect characteristic data.

[0046] According to the performance effect data, and in combination with the performance change characteristic data, effect mapping analysis is performed to form performance effect characteristic data, including: according to the performance effect data, determining the heat dissipation effect data of different cooling fans of the same type based on the time dimension, and forming the heat dissipation effect change data G of the same type n (t); Map the same type of heat dissipation effect change data and the corresponding same type of performance relationship data based on the time dimension to form corresponding same type of performance effect characteristic data; collect the same type of performance effect characteristic data corresponding to all different cooling fans of the same type to form performance effect characteristic data.

[0047] It is understandable that for cooling fans, power data is the data that mainly characterizes the fan's electrical performance. The cooling fan ultimately converts electrical energy into kinetic energy to drive the fan for heat dissipation. Fan heat dissipation is the ultimate effect to be seen. Meeting the power requirements does not necessarily achieve the corresponding effect. Therefore, it is necessary to map the fan's heat dissipation effect with the power data to provide a reference for analyzing both electrical performance and heat dissipation effects during subsequent monitoring and analysis. Here, the heat dissipation effect is expressed by the amount of heat dissipated per unit time. The heat dissipation rate is mapped to the corresponding power change data in the time dimension to form complete performance and effect relationship data.

[0048] According to the performance effect data, the heat dissipation effect data of different cooling fans of the same type based on the time dimension are determined to form the heat dissipation effect change data G of the same type. n (t), including: for different cooling fans of the same type, according to the performance effect data, respectively determine the working temperature monitoring change function W based on the time dimension n (t) and the ambient temperature monitoring function H n (t); According to the working temperature monitoring function W corresponding to the cooling fan n (t) and the ambient temperature monitoring function H n (t), determine the same type of heat dissipation change data L n (t), where L n (t)=C*Z*|W n (t)-H n (t)|, where C is the specific heat capacity of air and Z is the mass flow rate of the cooling fan; according to the same type of heat dissipation change data L n (t), determine the corresponding heat dissipation effect change data G of the same type n (t), where G n (t) is L n (t) The first derivative of the time parameter.

[0049] The heat dissipation effect is characterized by the heat dissipation rate. Since heat dissipation varies with operating time due to performance changes, the heat dissipation rate also changes over time, matching the power changes in the time dimension. The heat dissipation rate is mainly related to the ambient temperature and operating temperature in the time dimension. The air mass flow provided by the fan is also related to the fan speed. These data also have time characteristics. Therefore, obtaining these parameters at the corresponding time point can determine the corresponding heat dissipation rate.

[0050] S4: Collect real-time heat dissipation data, and perform performance monitoring and analysis based on the performance effect characteristic data to form performance effect monitoring and analysis result data.

[0051] Collect real-time heat dissipation data and perform performance monitoring and analysis based on the performance effect characteristic data to form performance effect monitoring and analysis result data, including: extracting the real-time working time cumulative change function A of the cooling fan based on the real-time heat dissipation data time (t), real-time working hours ratio change function R time (t), real-time power P time And real-time heat dissipation rate g time ;According to the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal ; According to the real-time power P time , combined with the performance effect characteristic data, determine the real-time mapping heat dissipation rate g cal ; According to the real-time power P time , real-time heat dissipation rate g time , Real-time calculation of power P cal And real-time mapping of heat dissipation rate g cal , conduct performance monitoring and analysis, and form performance effect monitoring and analysis result data.

[0052] After obtaining the characteristic data on the relationship between performance and effect corresponding to different working modes and working hours under big data, it can be used to monitor the real-time data of the cooling fan. The monitoring and analysis method is to determine the corresponding calculated power based on the working hour change data and working hour ratio change data of the cooling fan at the current time combined with the matching working mode and working hour performance and effect relationship characteristic data, and then determine the corresponding mapping heat dissipation rate through the mapping relationship, and then compare the two matched corresponding parameters with the real-time power and real-time heat dissipation rate to determine whether the performance and effect changes of the current cooling fan are normal. It is worth noting here that the characteristic data on the relationship between performance and effect corresponding to different working modes and working hours under big data are used as reference comparison data. In the initial stage of data collection, the average data can be used as the benchmark, that is, the relationship between performance and effect of the same working mode and working hour can select the middle data as the corresponding representative characteristic data. The centrality can be determined by the power change rate, that is, the data with a power change rate close to the average value is used as the representative characteristic data, so that the subsequent analysis is more reasonable and accurate.

[0053] According to the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal , including: based on the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time(t), determine the real-time equivalent cumulative amount of working hours Q corresponding to the current time point time ,in, Among them, T time Indicates the real-time total duration of the cooling fan from the start of use to the current time point; for different performance relationship data of the same type, according to the real-time total duration T time And the corresponding cumulative change function A of the same type of work time n (t) and the change function of the same type of working hours ratio R n (t), determine the corresponding equivalent cumulative amount of the same type of working hours Q n ,in, According to the different equivalent cumulative amount of the same type of working hours Q n , determine the cumulative amount Q equivalent to the real-time working hours time The closest equivalent cumulative amount of the same type of working hours Q n , and determine the corresponding performance relationship data of the same type as the monitoring comparison data; based on the monitoring comparison data, and combined with the real-time working time cumulative change function A time (t) and real-time working hours ratio change function R time (t), determine the real-time calculation power P cal .

[0054] To determine the real-time calculated power, it is first necessary to determine the performance and effect relationship characteristic data that best matches the current cooling fan in terms of working mode and working hours. Here, this is determined by comparing the cumulative effects of two time-based parameters of the same duration. That is, the performance and effect relationship characteristic data that is closest to the sum of the cumulative working hours and the cumulative working hours proportion in the corresponding real-time total duration is used as the reference data for analysis and comparison. It should be noted that although the sum of the cumulative working hours and the cumulative working hours proportion is general, they are also closely related. That is, when the working hours remain unchanged, the working hours proportion will decrease, and when the working hours increase, the working hours proportion will increase. Therefore, the existence of data with different working modes and working hours will not result in the same or close working hours and working hours proportion after adding the cumulative working hours and working hours proportion of the data with the matching working mode and working hours. Therefore, this matching judgment method is reasonable and accurate.

[0055] According to the real-time power P time , real-time heat dissipation rate g time , Real-time calculation of power P cal And real-time mapping of heat dissipation rate g cal , perform performance monitoring and analysis, and form performance effect monitoring and analysis result data, including: time -P cal |≤P pass , and the absolute value |g time -gcal |≤g pass , then the performance effect is normal information; when |P time -P cal |>P pass , and the absolute value |g time -g cal |≤g pass , then abnormal energy consumption information is generated; when |P time -P cal |≤P pass , and the absolute value |g time -g cal |>g pass , then abnormal heat dissipation information is generated; when |P time -P cal |>P pass , and the absolute value |g time -g cal |>g pass , then a work abnormality message is generated.

[0056] The monitoring and analysis of performance and effects mainly involves comparing power and heat dissipation rate. If the power and heat dissipation rate are within a reasonable corresponding range, it means that although the performance of the cooling fan has changed, it is within the normal range of change. If the power is not within a reasonable range, it means that the power consumption has increased and the performance has dropped too quickly. It should also be reminded here that the heat dissipation fan targeted by this application is mainly for the case of constant power. The reduction in actual working power can directly determine the performance reduction. For heat dissipation fan whose power can change during operation, the initial power needs to be adaptively adjusted under different circumstances. If the heat dissipation rate is not within the range, it means that there may be dust accumulation that affects the efficiency of converting electrical energy into mechanical energy. For the case where both the power and heat dissipation rate are not within the range, it means that the cooling fan is working abnormally.

[0057] S5: Based on the performance effect monitoring and analysis result data, performance monitoring display information is generated.

[0058] Different analysis results can be converted into text, indication signals, etc. for output display, which can more intuitively and accurately confirm the working status and working effect of the cooling fan.

[0059] The present invention also provides a visual visual display heat dissipation fan, which includes: fan blades, a fan frame, a PCB integrated circuit component, a base, and a USB data cable; the PCB integrated circuit component is arranged on the base; the fan frame is arranged on the base and snapped with the base; the fan blades are rotationally connected to the motor on the PCB integrated circuit component; the USB data cable is located on one side of the base and is connected to the PCB integrated circuit component, and the visual display module of the PCB integrated circuit component is relatively arranged on two opposite sides of the base.

[0060] The fan blades, fan frame, and base form the foundation of the entire device. Their primary function is to drive air flow through the rotation of the fan blades, thereby achieving heat dissipation. While a traditional motor may be used to drive the fan blades, in this invention, they serve as both the carrier for visual display and the core of the heat dissipation technology.

[0061] The visual display module on the PCB integrated circuit assembly is a key component in achieving visualization. It provides visual communication, perhaps by integrating a small display screen, such as an LCD or an organic light-emitting diode (OLED) display, to display images, text, and other information. The displayed content can be customized to suit different needs, such as device temperature, operating status, or user-defined information. The heat dissipation monitoring method provided by the present invention can be used to output and display monitoring and analysis results, allowing the performance and effectiveness of the cooling fan to be more intuitively displayed.

[0062] A USB data cable is a widely used interface for data transmission and power supply in electronic devices. Here, the USB data cable powers the visual display module. This means that no additional, complex power wiring is required; any device with an available USB port can provide power to the display module.

[0063] In traditional cooling fan applications, achieving visualization often requires separate design and installation of cooling fans, independent display modules, and their respective power supply systems. This results in numerous internal wiring and a complex structure. The present invention integrates the cooling fan, visualization display module, and power supply module, significantly reducing the number of components and wiring connections within the device, making the overall structure more compact and concise. For example, in the chassis of some electronic equipment with limited space, this highly integrated design can be easily installed without taking up too much space, avoiding the heat dissipation risks and maintenance difficulties caused by cluttered wiring.

[0064] The integrated design allows the entire device to be installed and disassembled as a single unit, greatly reducing the installation difficulty. It is also more convenient for non-professionals to operate. In terms of maintenance, when problems arise, there is no need to separately troubleshoot the connection between the cooling fan, display module, and power supply module. Only the entire integrated device needs to be inspected and repaired, which improves maintenance efficiency. For example, in a data center, a large number of server equipment requires cooling fans. If this highly integrated visual cooling fan is used, operation and maintenance personnel can complete equipment installation and replacement more quickly, reducing downtime.

[0065] Due to its neat wiring and simplified structure, this invention is better suited to a variety of application scenarios. Whether in personal computers, AI computing servers, industrial control equipment, or smart homes, it can be easily integrated and used. For example, in a smart home environment, some small smart appliances such as air purifiers and humidifiers can also be easily equipped with this visual cooling fan, which does not affect the overall appearance and spatial layout of the device while achieving the functions of heat dissipation and visualization.

[0066] The fan can provide the required power to drive the fan blades and realize data transmission between the fan and the PCB integrated circuit components through the USB data cable. At the same time, the visual display module on the PCB integrated circuit components can provide a reasonable and intuitive visual display of the parameter data and analysis data monitored by the cooling fan, expanding the functions and application scenarios of the cooling fan in the field of computer heat dissipation, and bringing customers a more intelligent and humanized user experience.

[0067] like Figure 3 It should also be noted that cooling fans are primarily used to dissipate heat from computers or workstations. However, considering different types of heat being dissipated, the cooling fan can be expanded based on actual conditions, that is, providing different numbers of fan blades. Accordingly, the matching base, fan frame, and PCB integrated circuit components are also expanded accordingly. Of course, due to the change in the type of heat being dissipated, when conducting heat dissipation monitoring, the working performance data that forms the performance change characteristic data and performance effect characteristic data must also match the data of the computer being dissipated to ensure the accuracy and rationality of the monitoring analysis.

[0068] In summary, the beneficial effects of the visual display of the heat dissipation fan and the heat dissipation monitoring method provided by the embodiments of the present invention are as follows:

[0069] This method establishes a mapping relationship between factors related to working time that affect the cooling performance of the cooling fan and power and cooling effect by acquiring data on different working modes and working hours based on the time dimension. On the one hand, it mainly considers the two factors of working time and working mode that are related to time parameters, which reduces the complexity of data analysis, but ensures the rationality of the relationship analysis of the impact of changes in the cooling fan performance effect, and improves the efficiency of data analysis. On the other hand, all parameters that affect the cooling fan performance effect are unified into the time dimension for consideration, that is, the effects of the factors that have a major impact on the performance effect are uniformly integrated into the working time and the way the working time changes based on the time dimension, so that the analysis is relatively reasonable while ensuring adequacy. In this way, it can accurately and reasonably realize the monitoring of abnormal changes in the performance effect of the cooling fan, realize reasonable monitoring display, and provide a data foundation for the visual management of the cooling fan.

[0070] The fan can provide the required power to drive the fan blades and realize data transmission between the fan and the PCB integrated circuit components through the USB data cable. At the same time, the visual display module on the PCB integrated circuit components can provide a reasonable and intuitive visual display of the parameter data and analysis data monitored by the cooling fan, expanding the functions and application scenarios of the cooling fan in the field of computer heat dissipation, and bringing customers a more intelligent and humanized user experience.

[0071] In the embodiment of the present application, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved by means of the arrangement order of each piece of information agreed in advance (such as specified in the protocol), thereby reducing the indication overhead to a certain extent. At the same time, the common parts of each piece of information can also be identified and indicated uniformly to reduce the indication overhead caused by indicating the same information separately.

[0072] In addition, the specific indication method can also be various existing indication methods, such as but not limited to the above-mentioned indication methods and various combinations thereof. The specific details of the various indication methods can be referred to the prior art and will not be repeated herein. As can be seen from the above, for example, when it is necessary to indicate multiple information of the same type, there may be a situation where the indication methods for different information are different. In the specific implementation process, the required indication method can be selected according to specific needs. The embodiment of the present application does not limit the selected indication method. In this way, the indication method involved in the embodiment of the present application should be understood to cover various methods that can enable the party to be indicated to obtain the information to be indicated.

[0073] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information and sent separately, and the sending period and / or sending time of these sub-information can be the same or different. The specific sending method is not limited in the embodiments of this application. The sending period and / or sending time of these sub-information can be predefined, for example, predefined according to a protocol, or can be configured by the transmitting device by sending configuration information to the receiving device.

[0074] "Pre-definition" or "pre-configuration" can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device, and the embodiments of the present application do not limit the specific implementation method. Among them, "saving" can mean saving in one or more memories. The one or more memories can be set separately or integrated in an encoder or decoder, a processor, or a communication device. The one or more memories can also be partially set separately and partially integrated in a decoder, a processor, or a communication device. The type of memory can be any form of storage medium, and the embodiments of the present application do not limit this.

[0075] The "protocol" involved in the embodiments of the present application may refer to a protocol family in the communication field, a standard protocol with a similar protocol family frame structure, or a related protocol used in future communication systems. The embodiments of the present application do not make specific limitations on this.

[0076] In the embodiments of the present application, descriptions such as "when...", "in the case of...", "if" and "if" all mean that the device will perform corresponding processing under certain objective circumstances. It does not limit the time, nor does it require the device to perform judgment actions when implemented, nor does it mean that there are other limitations.

[0077] In the description of the embodiments of the present application, unless otherwise specified, " / " indicates that the objects associated with each other are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of the present application is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, in the description of the embodiments of the present application, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. In addition, in order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with basically the same functions and effects. Those skilled in the art will understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit differences. At the same time, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0078] It should be understood that the processor in the embodiments of the present application may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0079] It should also be understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DRRAM).

[0080] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (such as infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0081] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0082] In this application, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0083] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0084] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0085] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0088] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0089] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0090] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A heat dissipation monitoring method, characterized in that: include: Obtaining the working performance data of the cooling fan, and extracting the performance change data and performance effect data; Performing a time-based performance characteristic analysis on the performance change data to generate performance change characteristic data; Performing effect mapping analysis based on the performance effect data and in combination with the performance change characteristic data to form performance effect characteristic data; Collecting real-time heat dissipation data, and performing performance monitoring and analysis based on the performance effect characteristic data to form performance effect monitoring and analysis result data; Performance monitoring display information is generated based on the performance effect monitoring and analysis result data.

2. The heat dissipation monitoring method according to claim 1, characterized in that: The performing of a time-based performance characteristic analysis based on the performance change data to form performance change characteristic data includes: According to the performance change data, the cumulative working time data of different cooling fans of the same type in the time dimension are determined to form the corresponding cumulative change function A of the same type of working time. n (t), n represents the number of different cooling fans of the same type, and t represents the time parameter; According to the performance change data, the working time ratio change data of different cooling fans of the same type in the time dimension are determined to form the corresponding working time ratio change function R of the same type. n (t); According to the performance change data, the power change data of different cooling fans of the same type in the time dimension are determined to form the corresponding power change data P of the same type. n (t); For different cooling fans of the same type, according to the corresponding cumulative change function A of the same type of working time n (t), the same type of working hours ratio change function R n (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form performance relationship data of the same type; The same type of performance relationship data corresponding to different cooling fans of the same type are collected to form the performance change characteristic data.

3. The heat dissipation monitoring method according to claim 2, characterized in that: For different cooling fans of the same type, the cumulative change function A of the corresponding same type working time is used. n (t), the same type of working hours ratio change function R n (t) and the same type of power change data P n (t), perform performance relationship analysis based on working time parameters to form similar performance relationship data, including: Randomly determine M time points during the use time of the cooling fan and record them as analysis time points And according to the same type of power change data P n (t) Determine the analysis time point The power at the corresponding time point m is the sequential number of the different time points determined; Analysis at different time points From the cumulative change function A of the same type of work duration n (t) determines the time from the start of use to the analysis point Corresponding interception of the cumulative change function of the same type of work time From the same type of working hours proportion change function P n (t) The time from the start of use to the analysis point is determined Corresponding interception of the same type of working hours ratio change function According to different analysis time points According to the corresponding interception of the cumulative change function of the same type of working time The function of intercepting the change of the proportion of working hours of the same type And the power at the time point The following intercept power impact relationships were determined: Among them, P0 is the rated power of the cooling fan, U k Expresses the cumulative impact of time, U k =ɑ0+(ɑ1) 1 +…+(α k ) k , α k is the cumulative impact factor of time, V i Indicates the influence of duration ratio, V i =β0+(β1) 1 +…+(β i ) i , β i is the cumulative impact factor of duration; The intercepted power influence relationship is subjected to verification adjustment analysis based on tolerance to form the same type performance relationship data corresponding to the cooling fan.

4. The heat dissipation monitoring method according to claim 3, characterized in that: The performing of tolerance-based verification and adjustment analysis on the intercepted power impact relationship to form the same-type performance relationship data corresponding to the cooling fan includes: Arbitrarily determine the same analysis time point during the use time of the cooling fan Any three different verification time points T test , and obtain each of the verification time points T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours ratio And the verification power P test ; According to the verification time point T test Corresponding verification function for cumulative change of working hours of the same type Verify the change function of the same type of working hours ratio And combined with the different interception power influence relationships, the corresponding verification time point T is determined test The corresponding calculation power According to different verification time points T test The corresponding calculation power and the verification power P test , the impact relationship of different intercepted powers is verified and adjusted in the following ways: If the interception power influence relationship exists, the three verification time points T test The power calculated above Same as the verification power P test If the sum of the differences does not exceed the verification tolerance value, then all the intercepted power influence relationships that meet the requirements are subjected to the same influence relationship equation and the fitted power influence relationship formed is determined as the same type of performance relationship data corresponding to the cooling fan. If the interception power influence relationship does not exist, the three verification time points T test The power calculated above Same as the verification power P test If the sum of the differences exceeds the verification tolerance value, the M analysis time points of the non-repeated time points are repeated The selection determines a new different interception power influence relationship until the interception power influence relationship exists so that the three verification time points T test The power calculated above Same as the verification power P test The sum of the differences does not exceed the verification tolerance value, and the fitted power influence relationship formed by performing the same influence relationship equation on all the newly formed intercepted power influence relationships that meet the requirements is determined as the same type of performance relationship data corresponding to the cooling fan.

5. The heat dissipation monitoring method according to claim 4, characterized in that: The performing effect mapping analysis based on the performance effect data and in combination with the performance change characteristic data to form performance effect characteristic data includes: According to the performance effect data, the heat dissipation effect data of different cooling fans of the same type based on the time dimension are determined to form the heat dissipation effect change data G of the same type. n (t); Mapping the same type of heat dissipation effect change data and the corresponding same type of performance relationship data based on the time dimension to form corresponding same type of performance effect characteristic data; The same type of performance effect characteristic data corresponding to all different cooling fans of the same type are collected to form the performance effect characteristic data.

6. The heat dissipation monitoring method according to claim 5, characterized in that: According to the performance effect data, the heat dissipation effect data of different heat dissipation fans of the same type based on the time dimension are determined to form the heat dissipation effect change data G of the same type. n (t), including: For different cooling fans of the same type, the operating temperature monitoring change function W based on the time dimension is determined according to the performance effect data. n (t) and the ambient temperature monitoring function H n (t); According to the working temperature monitoring change function W corresponding to the cooling fan n (t) and the ambient temperature monitoring change function H n (t), determine the same type of heat dissipation change data L n (t), where L n (t)=C*Z*|W n (t)-H n (t)|, where C is the specific heat capacity of air and Z is the mass flow rate of the cooling fan; According to the same type of heat dissipation change data L n (t), determine the corresponding heat dissipation effect change data G of the same type n (t), where G n (t) is L n (t) The first derivative of the time parameter.

7. The heat dissipation monitoring method according to claim 6, characterized in that: The real-time heat dissipation data is collected, and performance monitoring and analysis is performed based on the performance effect characteristic data to form performance effect monitoring and analysis result data, including: According to the real-time heat dissipation data, the real-time working time cumulative change function A of the heat dissipation fan is extracted. time (t), real-time working hours ratio change function R time (t), real-time power P time And real-time heat dissipation rate g time ; According to the real-time working time cumulative change function A time (t) and the real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal ; According to the real-time power P time , combined with the performance effect characteristic data, determine the real-time mapping heat dissipation rate g cal ; According to the real-time power P time , the real-time heat dissipation rate g time , the real-time calculation power P cal And the real-time mapping heat dissipation rate g cal , perform performance monitoring and analysis to form the performance effect monitoring and analysis result data.

8. The heat dissipation monitoring method according to claim 7, characterized in that: The cumulative change function A according to the real-time working time time (t) and the real-time working hours ratio change function R time (t), and combined with the performance change characteristic data, determine the real-time calculation power P cal ,include: According to the real-time working time cumulative change function A time (t) and the real-time working hours ratio change function R time (t), determine the real-time equivalent cumulative amount of working hours Q corresponding to the current time point time ,in, Among them, T time Indicates the real-time total duration of the cooling fan from the start of use to the current time point; For different performance relationship data of the same type, according to the real-time total time T time and the corresponding cumulative change function A of the same type of working time n (t) and the same type of working hours ratio change function R n (t), determine the corresponding equivalent cumulative amount of the same type of working hours Q n ,in, According to different equivalent cumulative amount of the same type of working hours Q n , determine the cumulative amount Q equivalent to the real-time working hours time The closest equivalent cumulative amount of the same type of working hours Q n and determining the corresponding same type of performance relationship data as monitoring comparison data; According to the monitoring comparison data, combined with the real-time working time cumulative change function A time (t) and the real-time working hours ratio change function R time (t), determine the real-time calculation power P cal .

9. The heat dissipation monitoring method according to claim 8, characterized in that: According to the real-time power P time , the real-time heat dissipation rate g time , the real-time calculation power P cal And the real-time mapping heat dissipation rate g cal , perform performance monitoring and analysis to form the performance effect monitoring and analysis result data, including: When |P time -P cal |≤P pass , and the absolute value |g time -g cal |≤g pass , then the performance effect is normal information; When |P time -P cal |>P pass , and the absolute value |g time -g cal |≤g pass , then abnormal energy consumption information is generated; When |P time -P cal |≤P pass , and the absolute value |g time -g cal |>g pass , then abnormal heat dissipation information is generated; When |P time -P cal |>P pass , and the absolute value |g time -g cal |>g pass , then a work abnormality message is generated.

10. A visual display cooling fan and a heat dissipation monitoring method, using the heat dissipation monitoring method according to any one of claims 1 to 9, characterized in that: include: Fan blades, fan frame, PCB integrated circuit assembly, base, USB data cable; the PCB integrated circuit assembly is arranged on the base; The fan frame is arranged on the base and snapped with the base; the fan blades are rotationally connected to the motor on the PCB integrated circuit component; the USB data cable is located on one side of the base and is connected to the PCB integrated circuit component; the visual display module of the PCB integrated circuit component is relatively arranged on two opposite sides of the base.

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