Heat dissipation part cleaning method, device and equipment, storage medium and program product

Abstract

The invention relates to a heat dissipation part cleaning method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a heat dissipation performance evaluation index of a heat dissipation part in the air cooling system under at least one evaluation dimension; according to a preset incidence relation model, the heat dissipation performance evaluation indexes are fused, a cleanliness index for feeding back the heat dissipation performance maintaining level of the heat dissipation component is obtained, and the preset incidence relation model is used for representing the incidence relation between the heat dissipation performance index of the heat dissipation component and the cleanliness index; and according to the cleanliness index, whether the heat dissipation component is cleaned or not is determined. By adopting the method, the cleaning accuracy of the cooling part of the air cooling system is improved.

Description

Technical Field

[0001] The present application relates to the field of air cooling and heat dissipation technology, and in particular to a method and apparatus for cleaning heat dissipation components, a computer device, a computer-readable storage medium, and a computer program product. Background Art

[0002] With the continuous development of science and technology, heat dissipation technology has also been continuously iterating. For example, compared with wet cooling technology, air cooling technology has the advantages of water saving, environmental protection, easy maintenance and strong adaptability. Therefore, it is widely used in many fields such as industrial production, power systems and transportation. However, the heat dissipation components of the air cooling system are inevitably affected by dirt during use.

[0003] At present, the degree of dirtiness of the heat sink components is usually qualitatively assessed manually, and the heat sink components are cleaned when the degree of dirtiness affects the heat exchange efficiency of the air cooling system. However, since the qualitative assessment of the degree of dirtiness of the heat sink components is easily affected by subjective factors, it is impossible to objectively feedback the actual cleaning needs of the heat sink components, which makes it easy for cleaning to be untimely or excessive. Therefore, the cleaning accuracy of the heat sink components of the current air cooling system is poor. Summary of the invention

[0004] Based on this, it is necessary to provide a heat dissipation component cleaning method, device, computer equipment, computer-readable storage medium and computer program product to improve the cleaning accuracy of heat dissipation components in an air cooling system in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for cleaning a heat dissipation component, comprising:

[0006] Obtaining a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension;

[0007] According to a preset correlation model, each of the heat dissipation performance evaluation indicators is integrated to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance indicator of the heat dissipation component and the cleanliness indicator;

[0008] Whether to clean the heat dissipation component is determined according to the cleanliness index.

[0009] In one embodiment, the heat dissipation component is deployed in an air cooling unit, the air cooling system includes at least one of the air cooling units, the heat dissipation performance evaluation index includes a heat dissipation efficiency evaluation index and a heat dissipation effectiveness evaluation index; the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension is obtained, including:

[0010] For any of the air cooling units, obtaining a water temperature deviation value and a heat exchange deviation value of the air cooling unit;

[0011] By fusing the water temperature deviation values, the heat dissipation efficiency evaluation index is obtained, and by fusing the heat exchange deviation values, the heat dissipation performance evaluation index is obtained.

[0012] The heat exchange deviation value includes a first heat exchange deviation value and a second heat exchange deviation value; and obtaining the water temperature deviation value and the heat exchange deviation value of the air cooling unit includes:

[0013] Obtaining the water inlet temperature, water outlet temperature, air inlet temperature and air outlet temperature of the air cooling unit;

[0014] Difference between the water inlet temperature and the water outlet temperature to obtain the water temperature deviation value;

[0015] The first heat exchange deviation value is obtained by subtracting the water inlet temperature from the inlet air temperature, and the second heat exchange deviation value is obtained by subtracting the water outlet temperature from the outlet air temperature.

[0016] In one embodiment, the heat dissipation performance evaluation index includes a first heat dissipation performance evaluation index and a second heat dissipation performance evaluation index; the heat dissipation performance evaluation indexes are merged according to a preset correlation model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, including:

[0017] Determine a first actual heat dissipation performance index of the heat dissipation component according to the first heat dissipation performance evaluation index and the corresponding first evaluation index threshold, and determine a second actual heat dissipation performance index of the heat dissipation component according to the second heat dissipation performance evaluation index and the corresponding second evaluation index threshold;

[0018] Determining a first characteristic value of the heat dissipation performance correlation index in the preset correlation relationship model according to the first heat dissipation performance actual index and the second heat dissipation performance actual index;

[0019] Determining a second characteristic value of the heat dissipation efficiency correlation index in the preset correlation relationship model according to the heat dissipation efficiency evaluation index;

[0020] The first characteristic value and the second characteristic value are combined to form a cleanliness index that provides feedback on the heat dissipation performance maintenance level of the heat dissipation component.

[0021] In one embodiment, the cleanliness index includes a cleanliness index of each of the air cooling units; and determining whether to clean the heat dissipation component according to the cleanliness index includes:

[0022] According to each of the cleanliness sub-indicators, a positioning result is obtained as to whether there is an area to be cleaned on the heat dissipation component;

[0023] According to the positioning result, it is determined whether to clean the heat dissipation component.

[0024] In one of the embodiments, before obtaining the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension, the method further includes:

[0025] Predicting the probability of cleaning requirement of the heat dissipation component according to the real-time operation parameter information of the heat dissipation component during operation;

[0026] According to the cleaning requirement probability, it is determined whether to obtain a heat dissipation performance evaluation index of a heat dissipation component in the air cooling system under at least one evaluation dimension.

[0027] In a second aspect, the present application also provides a heat dissipation component cleaning device, the device comprising:

[0028] An acquisition module, used to acquire a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension;

[0029] A fusion module, used to fuse the heat dissipation performance evaluation indicators according to a preset correlation model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance indicator of the heat dissipation component and the cleanliness indicator;

[0030] A determination module is used to determine whether to clean the heat dissipation component according to the cleanliness index.

[0031] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0032] Obtain a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension; fuse the heat dissipation performance evaluation indexes according to a preset association relationship model to obtain a cleanliness index that feeds back a heat dissipation performance maintenance level of the heat dissipation component, wherein the preset association relationship model is used to characterize the association between the heat dissipation performance index of the heat dissipation component and the cleanliness index; determine whether to clean the heat dissipation component according to the cleanliness index.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0034] Obtain a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension; fuse the heat dissipation performance evaluation indexes according to a preset association relationship model to obtain a cleanliness index that feeds back a heat dissipation performance maintenance level of the heat dissipation component, wherein the preset association relationship model is used to characterize the association between the heat dissipation performance index of the heat dissipation component and the cleanliness index; determine whether to clean the heat dissipation component according to the cleanliness index.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] Obtain a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension; fuse the heat dissipation performance evaluation indexes according to a preset association relationship model to obtain a cleanliness index that feeds back a heat dissipation performance maintenance level of the heat dissipation component, wherein the preset association relationship model is used to characterize the association between the heat dissipation performance index of the heat dissipation component and the cleanliness index; determine whether to clean the heat dissipation component according to the cleanliness index.

[0037] The above-mentioned heat dissipation component cleaning method, device, computer equipment, computer-readable storage medium and computer program product first obtain the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension, and then fuse each heat dissipation performance evaluation index through a preset correlation relationship model that characterizes the correlation relationship between the heat dissipation performance index and the cleanliness index of the heat dissipation component to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, that is, taking the heat dissipation performance index of the heat dissipation component as the starting point, the heat dissipation performance evaluation index that evaluates the heat dissipation performance of the heat dissipation component is fused into a cleanliness index that characterizes the heat dissipation performance maintenance level, and then the heat dissipation performance of the heat dissipation component can be established through the cleanliness index. The correlation between the cleanliness index and the heat dissipation performance maintenance level can be determined, and finally, whether the heat dissipation components should be cleaned can be determined through the quantitative cleanliness index, so that the purpose of cleaning the heat dissipation components can be achieved based on the cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation components. That is, it provides a quantitative basis for the cleaning of the heat dissipation components, and then can objectively evaluate the actual cleaning needs of the heat dissipation components. Therefore, it overcomes the technical defect that the qualitative evaluation of the dirtiness of the heat dissipation components is easily affected by human subjective factors, resulting in the inability to objectively feed back the actual cleaning needs of the heat dissipation components, which makes it easy to cause untimely or excessive cleaning. Therefore, the cleaning accuracy of the heat dissipation components of the air cooling system is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of a process for cleaning a heat dissipation component in one embodiment;

[0040] Figure 2 A partial schematic diagram of a rack and pinion drive system of a method for cleaning a heat dissipation component in an embodiment;

[0041] Figure 3 A schematic flow chart of a method for cleaning a heat dissipation component in another embodiment;

[0042] Figure 4 is a structural block diagram of a heat dissipation component cleaning device in one embodiment;

[0043] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] First of all, it should be understood that the heat dissipation components of the air cooling system are prone to absorb dirt during use. Taking the heat dissipation fins of the direct air cooling system as an example, the heat dissipation fins will inevitably be covered and blocked by pollutants such as poplar fluff or ash during the heat dissipation process. The heat dissipation fins will directly affect the heat exchange efficiency of the direct air cooling system after they are dirty. The reason is that the air cooling array of the direct air cooling system uses air for cooling, and the cooling capacity of the direct air cooling system depends on the cooling efficiency of the air entering the air cooling array. When the heat dissipation fins are too dirty, the cooling capacity will be reduced. At the same time, it will also reduce the vacuum of the direct air cooling system and limit the output of the direct air cooling system. That is, due to the long-term outdoor operation of the air cooling array, fine sand, dust and other debris in the air are deposited on the heat dissipation fins, resulting in dust, scale and debris on the surface of the heat dissipation fins. The dirt on the fins can also cause under-scale corrosion of the metal, thus affecting the service life of the fins. Therefore, users usually make a qualitative assessment of the degree of dirtiness of the heat dissipation components and clean the components after determining that the degree of dirtiness of the heat dissipation components is high. However, there is currently a lack of quantifiable and objective standards for assessing the degree of dirtiness of the heat dissipation components, resulting in an inability to objectively feedback the actual cleaning needs of the heat dissipation components, which in turn makes it easy for cleaning to be untimely or excessive. Therefore, there is an urgent need for a heat dissipation component cleaning method that can improve the cleaning accuracy of the heat dissipation components of an air cooling system.

[0046] In one embodiment, Figure 1As shown, a method for cleaning a heat dissipation component is provided. This embodiment takes the method applied to a terminal as an example. The terminal includes but is not limited to a personal computer, a laptop computer, a smart phone, and a tablet computer. The heat dissipation component cleaning system includes an acquisition module, a fusion module, and a determination module. The acquisition module is used to obtain a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system in at least one evaluation dimension. The fusion module is used to fuse each heat dissipation performance evaluation index according to a preset association relationship model to obtain a cleanliness index that feeds back a heat dissipation performance maintenance level of the heat dissipation component, wherein the preset association relationship model is used to characterize the association relationship between the heat dissipation performance index and the cleanliness index of the heat dissipation component. The determination module is used to determine whether to clean the heat dissipation component according to the cleanliness index. By acquiring the model The information interaction between the block, the fusion module and the determination module can use the heat dissipation performance evaluation indicators of the heat dissipation components under different evaluation dimensions to integrate the cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation components, and finally use the cleanliness index as a quantitative basis for determining whether to clean the heat dissipation components. Therefore, it can overcome the technical defects that the qualitative evaluation of the degree of dirtiness of the heat dissipation components is easily affected by human subjective factors, resulting in the inability to objectively feed back the actual cleaning needs of the heat dissipation components, and thus making it easy to clean untimely or excessively. Therefore, it can improve the cleaning accuracy of the heat dissipation components of the air cooling system. It is understandable that this method can also be applied to servers, and can also be applied to systems including terminals and servers, and is implemented through the interaction between terminals and servers. In this embodiment, the method includes the following steps:

[0047] Step 202: obtaining a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension.

[0048] It should be noted that the air cooling system is used to characterize an air-cooling unit with air-cooling heat dissipation technology, which can be a direct air cooling system or an indirect air cooling system. For example, in an implementable manner, the air cooling system is a direct air cooling system, which may include an exhaust device and an air cooling array, which consists of a heat dissipation component, an air cooling unit, a condensate branch pipe, a steam distribution pipe, and a windshield wall, etc., wherein the heat dissipation component is used to transfer heat from a heat source to the air, and the heat dissipation component can be specifically a heat dissipation fin, a heat dissipation pipe, and a heat dissipation fin, etc. When the heat dissipation component is highly dirty, the heat dissipation component can be cleaned by a cleaning mechanism, wherein the cleaning mechanism can be specifically a cleaning trolley or a cleaning gun, etc., and the cleaning process of the heat dissipation component by the cleaning mechanism can be controlled and executed by the terminal. For example, in an implementable manner, the terminal determines to clean the heat dissipation component, and controls the cleaning trolley through the PLC control program to rely on the frequency converter, the reducer and the gear transmission system to go to the designated area to perform the cleaning operation of the heat dissipation component.

[0049] It should be noted that the heat dissipation components in the air cooling system can be an integrated structure or a distributed structure. For example, in one feasible method, the air cooling system is composed of at least one air cooling unit, and an air cooling unit includes a heat dissipation component, a fan, a supporting structure, a piping system, and a control device, wherein multiple air cooling units share the same air chamber, and the air cooling system includes multiple air chambers. In this case, the heat dissipation components in the air cooling system refer to the collection of heat dissipation components of each air cooling unit. The heat dissipation performance evaluation index is used to evaluate the heat dissipation performance of the heat dissipation component, which can specifically be the inlet and outlet water temperature deviation value of the heat dissipation component, the deviation value between the inlet wind temperature of the heat dissipation component and the inlet water temperature, and the deviation value between the outlet wind temperature of the heat dissipation component and the outlet water temperature. The evaluation dimensions can specifically include the heat dissipation efficiency dimension, the heat dissipation performance dimension, and the heat dissipation uniformity dimension, etc. By integrating the heat dissipation performance evaluation indicators under multiple evaluation dimensions, the heat dissipation performance of the heat dissipation component can be objectively fed back.

[0050] As an example, step 202 includes: obtaining the water inlet temperature and the water outlet temperature of the heat dissipation component, subtracting the water inlet temperature from the water outlet temperature to obtain a heat dissipation performance evaluation index under the heat dissipation efficiency dimension, obtaining the water inlet temperature and the inlet air temperature of the heat dissipation component, subtracting the water inlet temperature from the inlet air temperature to obtain a heat dissipation performance evaluation index under the heat dissipation efficiency dimension.

[0051] Step 204 , according to a preset correlation model, each heat dissipation performance evaluation index is integrated to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance index and the cleanliness index of the heat dissipation component.

[0052] It should be noted that the preset association model is used to characterize the association between the heat dissipation performance index and the cleanliness index of the heat dissipation component. The cleanliness index is used to characterize the degree of dirtiness of the heat dissipation component. Since the degree of dirtiness of the heat dissipation component will directly affect the heat dissipation performance of the heat dissipation component, and the cleanliness index can provide feedback on the heat dissipation performance maintenance level of the heat dissipation component, the preset association model can be used to establish the association between the heat dissipation performance and the degree of dirtiness of the heat dissipation component. Specifically, the preset association model can be a preset functional relationship expression, and the various heat dissipation performance evaluation indicators are integrated into a cleanliness index through the preset functional relationship expression, thereby providing a cleaning decision basis for the heat dissipation component.

[0053] As an example, step 204 includes: inputting the heat dissipation performance evaluation index under the heat dissipation efficiency dimension and the heat dissipation performance evaluation index under the heat dissipation effectiveness dimension into a preset association model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component.

[0054] In an implementable manner, the expression of the preset association relationship model may be as follows:

[0055]

[0056] Among them, Y is the cleanliness index, It is the heat dissipation performance evaluation index under the heat dissipation efficiency dimension. It is a heat dissipation performance evaluation index under the heat dissipation efficiency dimension. is the first indicator coefficient, is the second indicator coefficient, and are all constants.

[0057] Step 206: Determine whether to clean the heat dissipation component according to the cleanliness index.

[0058] It should be noted that after quantitatively evaluating the degree of dirtiness of the heat dissipation components based on the cleanliness index, the heat dissipation components can be cleaned when the degree of dirtiness is high, and not cleaned when the degree of dirtiness is low, thereby accurately providing a basis for cleaning decisions, wherein the cleaning process of the heat dissipation components can be performed fully automatically or semi-automatically. For example, in one feasible method, assuming that the air cooling system is a direct air cooling system, a rack and pinion drive system can be installed in parallel with the lower guide rail of the cleaning mechanism. The driving force of the rack and pinion drive system ensures the smooth operation of the cleaning mechanism, thereby allowing the cleaning water pipe to be easily dragged to avoid the phenomenon of the cleaning slide being stuck. In addition, the cleaning mechanism and the rack and pinion drive system can rely on a PLC (Programmable Logic Controller) program in combination with a DCS (Distributed Control System) to achieve remote automated operations.

[0059] As an example, step 206 includes: when the cleanliness index is greater than or equal to a preset cleanliness index threshold, determining to clean the heat dissipation component; when the cleanliness index is less than the preset cleanliness index threshold, determining not to clean the heat dissipation component, wherein the cleanliness index can specifically be 70% or 80%, etc.

[0060] In one practicable manner, referring to Figure 2 , Figure 2 It is a partial schematic diagram of the rack and pinion drive system, wherein the rack and pinion drive system includes a rack, a gear and a reduction motor, etc. After the terminal determines that the heat dissipation component needs to be cleaned, the cleaning mechanism is controlled by the PLC program to move to the designated position to clean the heat dissipation component under the drive of the rack and pinion drive system.

[0061] In the above-mentioned heat dissipation component cleaning method, the water inlet temperature, water outlet temperature and inlet air temperature of the heat dissipation component in the air cooling system are first obtained, and the difference between the water inlet temperature and the water outlet temperature is used as the heat dissipation performance evaluation index under the heat dissipation efficiency dimension, and the difference between the water inlet temperature and the inlet air temperature is used as the heat dissipation performance evaluation index under the heat dissipation efficiency dimension, and then the heat dissipation performance evaluation index under the heat dissipation efficiency dimension and the heat dissipation performance evaluation index under the heat dissipation efficiency dimension are jointly input into the preset association relationship model, and the cleanliness index of the heat dissipation performance maintenance level of the feedback heat dissipation component is obtained by fusion. Finally, according to the size relationship between the cleanliness index and the preset cleanliness index threshold, it is determined whether to clean the heat dissipation component, that is, taking the heat dissipation performance index of the heat dissipation component as the starting point, the heat dissipation performance evaluation index of the heat dissipation component is used to evaluate the heat dissipation performance of the heat dissipation component. The indicators are integrated into a cleanliness index that characterizes the level of heat dissipation performance maintenance, and the cleanliness index can be used to establish a correlation between the heat dissipation performance of the heat dissipation component and the heat dissipation performance maintenance level. Finally, through the quantitative cleanliness index, it is determined whether to clean the heat dissipation component, so that the purpose of cleaning the heat dissipation component can be achieved based on the cleanliness index that feeds back the level of heat dissipation performance maintenance of the heat dissipation component. That is, it provides a quantitative basis for the cleaning of the heat dissipation component, and can objectively evaluate the actual cleaning needs of the heat dissipation component. Therefore, it overcomes the technical defect that the qualitative evaluation of the degree of dirtiness of the heat dissipation component is easily affected by human subjective factors, resulting in the inability to objectively feedback the actual cleaning needs of the heat dissipation component, which makes it easy to cause untimely or excessive cleaning. Therefore, the cleaning accuracy of the heat dissipation components of the air cooling system is improved.

[0062] In one embodiment, Figure 3 As shown, the heat dissipation component is deployed in an air cooling unit, the air cooling system includes at least one air cooling unit, and the heat dissipation performance evaluation index includes a heat dissipation efficiency evaluation index and a heat dissipation effectiveness evaluation index; obtaining the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension includes:

[0063] Step 302: for any air cooling unit, obtain a water temperature deviation value and a heat exchange deviation value of the air cooling unit;

[0064] It should be noted that when the air cooling system is composed of multiple air cooling units, the heat dissipation component is a collection of unit heat dissipation components of each air cooling unit, and thus there will be differences between the specific operating parameters of different air cooling units. Therefore, when evaluating the heat dissipation performance evaluation indicators of the heat dissipation components, it is necessary to integrate the heat dissipation performance evaluation indicators of different air cooling units for comprehensive evaluation.

[0065] It should be noted that the heat dissipation efficiency evaluation index refers to an index for evaluating heat dissipation performance from the dimension of heat dissipation efficiency, and the heat dissipation efficiency evaluation index refers to an index for evaluating heat dissipation performance from the dimension of heat dissipation efficiency. When evaluating the heat dissipation performance of heat dissipation components by using the heat dissipation efficiency evaluation index and the heat dissipation efficiency evaluation index, more accurate feedback on the heat dissipation performance can be provided in limited dimensions, and both evaluation accuracy and evaluation efficiency can be taken into account when evaluating the heat dissipation performance of heat dissipation components.

[0066] As an example, step 302 includes: for any air-cooling unit, obtaining the inlet exhaust temperature of the air-cooling array composed of each air-cooling unit of the air-cooling system, using the inlet exhaust temperature as the inlet water temperature of the air-cooling unit, using the average return water temperature of the condensate branch pipe corresponding to the air-cooling unit as the outlet water temperature of the air-cooling unit, using the air chamber inlet temperature of the air-cooling unit as the inlet wind temperature of the air-cooling unit, subtracting the inlet water temperature and the outlet water temperature of the air-cooling unit to obtain the water temperature deviation value of the air-cooling unit, and subtracting the inlet wind temperature and the inlet water temperature of the air-cooling unit to obtain the heat exchange deviation value of the air-cooling unit.

[0067] As another example, step 302 includes: for any air-cooling unit, obtaining the inlet exhaust temperature of the air-cooling array composed of each air-cooling unit of the air-cooling system, using the inlet exhaust temperature as the inlet water temperature of the air-cooling unit, using the average return water temperature of the condensate branch pipe corresponding to the air-cooling unit as the outlet water temperature of the air-cooling unit, using the lowest average temperature of the wind chamber where the air-cooling unit is located as the outlet air temperature of the air-cooling unit, subtracting the inlet water temperature and the outlet water temperature of the air-cooling unit to obtain the water temperature deviation value of the air-cooling unit, and subtracting the outlet air temperature and the outlet water temperature of the air-cooling unit to obtain the heat exchange deviation value of the air-cooling unit.

[0068] Step 304, obtaining a heat dissipation efficiency evaluation index by fusing the water temperature deviation values, and obtaining a heat dissipation performance evaluation index by fusing the heat exchange deviation values.

[0069] As an example, step 304 includes: taking the average value of each water temperature deviation value as the heat dissipation efficiency evaluation index of the heat dissipation component, and taking the average value of each heat exchange deviation value as the heat dissipation performance evaluation index of the heat dissipation component.

[0070] In this embodiment, firstly, the exhaust temperature at the inlet of the air-cooling island of the air-cooling system, the average return water temperature of the condensate branch pipe corresponding to the air-cooling unit, the inlet temperature of the wind chamber where the air-cooling unit is located, and the lowest average temperature of the wind chamber where the air-cooling unit is located are input, and the water inlet temperature, the water outlet temperature, the inlet wind temperature of the air-cooling unit, and the outlet wind temperature of the air-cooling unit are determined to determine the water temperature deviation value and the heat exchange deviation value of each air-cooling unit. Finally, the water temperature deviation values ​​and the heat exchange deviation values ​​of different air-cooling units are integrated to obtain the heat dissipation efficiency evaluation index and the heat dissipation effectiveness evaluation index of the heat dissipation component, so as to achieve the purpose of determining the heat dissipation performance evaluation index of the heat dissipation component from only two evaluation dimensions. Since the heat dissipation effectiveness dimension and the heat dissipation efficiency dimension can fully characterize the heat dissipation capacity of the heat dissipation component, the evaluation dimensions are reduced when evaluating the heat dissipation capacity of the heat dissipation component. Therefore, while laying the foundation for improving the cleaning accuracy of the heat dissipation components of the air-cooling system, it also lays the foundation for improving the cleaning efficiency of the heat dissipation components of the air-cooling system.

[0071] In one embodiment, the heat exchange deviation value includes a first heat exchange deviation value and a second heat exchange deviation value; obtaining the water temperature deviation value and the heat exchange deviation value of the air cooling unit includes:

[0072] Obtain the inlet water temperature, outlet water temperature, inlet air temperature and outlet air temperature of the air cooling unit; subtract the inlet water temperature from the outlet water temperature to obtain a water temperature deviation value; subtract the inlet water temperature from the inlet air temperature to obtain a first heat exchange deviation value, and subtract the outlet water temperature from the outlet air temperature to obtain a second heat exchange deviation value.

[0073] It should be noted that the first heat exchange deviation value and the second heat exchange deviation value are heat exchange deviation values ​​for evaluating heat dissipation efficiency in different dimensions. For example, in an practicable manner, the first heat exchange deviation value may be the difference between the inlet water temperature and the inlet air temperature of the air cooling unit, and the second heat exchange deviation value may be the difference between the outlet water temperature and the outlet water air temperature of the air cooling unit. The specific expressions are as follows:

[0074]

[0075] in, is the first heat exchange deviation value, is the second heat exchange deviation value, is the water temperature deviation value, A is the water inlet temperature of the air cooling unit, B is the inlet air temperature of the air cooling unit, C is the outlet water temperature of the air cooling unit, and D is the outlet temperature of the air cooling unit.

[0076] As an example, the inlet exhaust temperature of the air-cooling array composed of each air-cooling unit of the air-cooling system is obtained, and the inlet exhaust temperature is used as the inlet water temperature of the air-cooling unit, the average return water temperature of the condensate branch pipe corresponding to the air-cooling unit is used as the outlet water temperature of the air-cooling unit, the air chamber inlet temperature of the air-cooling unit is used as the inlet wind temperature of the air-cooling unit, and the lowest average temperature of the wind chamber where the air-cooling unit is located is used as the outlet wind temperature of the air-cooling unit; the inlet water temperature and the outlet water temperature of the air-cooling unit are subtracted to obtain the water temperature deviation value of the air-cooling unit; the inlet wind temperature and the inlet water temperature of the air-cooling unit are subtracted to obtain the first heat exchange deviation value of the air-cooling unit, and the outlet wind temperature and the outlet water temperature of the air-cooling unit are subtracted to obtain the second heat exchange deviation value of the air-cooling unit. This embodiment obtains the heat exchange deviation value of the heat dissipation efficiency evaluation index, and determines the heat exchange deviation values ​​for evaluating the heat dissipation efficiency of the heat dissipation components at different angles through the inlet water temperature, outlet water temperature, inlet air temperature and outlet air temperature of the air cooling unit. Therefore, the heat dissipation efficiency evaluation index obtained by fusing the heat exchange deviation values ​​for evaluating the heat dissipation efficiency of the heat dissipation components at different angles can more objectively characterize the heat dissipation performance of the heat dissipation components. Therefore, it lays a foundation for further improving the cleaning accuracy of the heat dissipation components of the air cooling system.

[0077] In one embodiment, the heat dissipation performance evaluation index includes a first heat dissipation performance evaluation index and a second heat dissipation performance evaluation index. According to a preset correlation model, each heat dissipation performance evaluation index is integrated to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, including:

[0078] If the first heat dissipation performance evaluation index is greater than the first evaluation index threshold, the first heat dissipation performance evaluation index is determined to be the first heat dissipation performance actual index of the heat dissipation component; if the first heat dissipation performance evaluation index is less than or equal to the first evaluation index threshold, the first evaluation index threshold is determined to be the first heat dissipation performance actual index of the heat dissipation component; and if the second heat dissipation performance evaluation index is less than or equal to the second evaluation index threshold, the second evaluation index threshold is determined to be the second heat dissipation performance evaluation index of the heat dissipation component; if the second heat dissipation performance evaluation index is greater than the second evaluation index threshold, the second heat dissipation performance evaluation index is determined to be the second heat dissipation performance evaluation index of the heat dissipation component; according to the first heat dissipation performance actual index and the second heat dissipation performance actual index, a first eigenvalue of the heat dissipation performance associated index in the preset association relationship model is determined; according to the heat dissipation efficiency evaluation index, a second eigenvalue of the heat dissipation efficiency associated index in the preset association relationship model is determined; the first eigenvalue and the second eigenvalue are combined to form a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component;

[0079] In this embodiment, it should be noted that, since the actual heat dissipation efficiency of the heat dissipation components reflected by the inlet and outlet of the air cooling unit is different, different performance factors can be set for heat dissipation efficiency evaluation indicators at different angles for evaluation. For example, in an practicable manner, the air cooling system has a total of n air cooling units, and the first heat exchange deviation values ​​of each air cooling unit are respectively , the second heat exchange deviation values ​​of each air cooling unit are , then the calculation expressions of the first heat dissipation performance evaluation index and the second heat dissipation performance evaluation index are as follows:

[0080]

[0081] in, It is the first heat dissipation performance evaluation indicator. is the second heat dissipation performance evaluation index, n is the number of air cooling units, and the calculation expressions of the first heat dissipation performance actual index and the second heat dissipation performance actual index are as follows:

[0082]

[0083] in, It is the first practical indicator of heat dissipation performance. It is the second actual indicator of heat dissipation performance. is the first evaluation index threshold, is the second evaluation index threshold, for example, the first evaluation index threshold is 0.2, and the second evaluation index threshold is 0.1.

[0084] In this embodiment, it should be noted that after determining the first actual heat dissipation efficiency index and the second actual heat dissipation efficiency index, the cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component can be obtained by substituting the preset correlation model into the corresponding characteristic value. For example, in an implementable manner, the calculation expression of the cleanliness index is as follows:

[0085]

[0086] T = L 1 / L 2 L 1 = ( A − B ) · L g { MAX [ ( B − D ) ， 0 . 1 ] } L 2 = MAX [ ( A − C ) ， 0 . 2 ] / { MAX [ ( A − C ) ， 0 . 2 ] − MAX [ ( B − D ) ， 0 . 1 ] }

[0087] Where T is the cleanliness index, is the first characteristic value of the heat dissipation efficiency related index, L2 is the second characteristic value of the heat dissipation efficiency related index, A is the water inlet temperature of the air cooling unit, B is the inlet air temperature of the air cooling unit, C is the water outlet temperature of the air cooling unit, and D is the outlet temperature of the air cooling unit.

[0088] As an example, a first heat dissipation performance evaluation indicator is matched with a first evaluation indicator threshold value, and when the first heat dissipation performance evaluation indicator is greater than the first evaluation indicator threshold value, the first heat dissipation performance evaluation indicator is output as a first heat dissipation performance actual indicator, and when the first heat dissipation performance evaluation indicator is less than or equal to the first evaluation indicator threshold value, the first evaluation indicator threshold value is output as a first heat dissipation performance actual indicator, and a second heat dissipation performance evaluation indicator is matched with a second evaluation indicator threshold value, and when the second heat dissipation performance evaluation indicator is greater than the second evaluation indicator threshold value, the second heat dissipation performance evaluation indicator is output as a second heat dissipation performance actual indicator, and when the second heat dissipation performance evaluation indicator is less than or equal to the second evaluation indicator threshold value, the second heat dissipation performance evaluation indicator is output as a second heat dissipation performance actual indicator. When evaluating the index threshold, the second evaluation index threshold is used as the second actual heat dissipation efficiency index; the first actual heat dissipation efficiency index and the second actual heat dissipation efficiency index are input into the preset association relationship model to obtain the first characteristic value of the heat dissipation efficiency association index, wherein the heat dissipation efficiency association index is used to characterize the index associated with the association relationship between the actual heat dissipation efficiency index and the cleanliness index; the heat dissipation efficiency evaluation index is input into the preset association relationship model to obtain the second characteristic value of the heat dissipation efficiency association index in the preset association relationship model; the first characteristic value and the second characteristic value are substituted into the preset association relationship model to obtain the cleanliness index of the heat dissipation performance maintenance level of the feedback heat dissipation component. The cleanliness index determination method provided in this embodiment can reduce the calculation complexity of the cleanliness index of the heat dissipation performance maintenance level of the feedback heat dissipation component, so while laying the foundation for improving the cleaning accuracy of the heat dissipation components of the air cooling system, it also simultaneously lays the foundation for improving the cleaning efficiency of the heat dissipation components of the air cooling system.

[0089] In one embodiment, the cleanliness index includes a cleanliness index of each air cooling unit; and determining whether to clean the heat dissipation component according to the cleanliness index includes:

[0090] According to each cleanliness index, a positioning result is obtained to determine whether there is an area to be cleaned on the heat dissipation component; and according to the positioning result, it is determined whether to clean the heat dissipation component.

[0091] It should be noted that in the process of determining whether to clean the heat dissipation components, the degree of dirtiness of different areas can be determined in a targeted manner, so that the cleaning mechanism can be controlled to clean the areas with higher degrees of dirtiness separately. For example, in one feasible method, any air-cooling unit has a corresponding cleanliness sub-index, which is used to characterize the degree of dirtiness of the unit heat dissipation components in the air-cooling unit. Whether the unit heat dissipation components are dirty can be determined based on the relationship between the cleanliness sub-index and a preset cleanliness sub-index threshold.

[0092] As an example, when there is a cleanliness index greater than the preset cleanliness index threshold among the cleanliness indexes, a first positioning result is obtained that there is a region to be cleaned of the heat dissipation component; when there is no cleanliness index greater than the preset cleanliness index threshold among the cleanliness indexes, a second positioning result is obtained that there is a region to be cleaned of the heat dissipation component; if the positioning result is determined to be the first positioning result, the region to be cleaned of the heat dissipation component is cleaned; if the positioning result is determined to be the second positioning result, the heat dissipation component is not cleaned. The degree of dirtiness of the unit heat dissipation components of different air-cooling units in the air-cooling system is determined by the cleanliness index, thereby providing a decision-making basis for the regional cleaning of the heat dissipation components, thereby improving the targeted cleaning of the heat dissipation components in the air-cooling system.

[0093] In one embodiment, before obtaining the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension, the method further includes:

[0094] According to the real-time operating parameter information of the heat dissipation component during operation, the cleaning requirement probability of the heat dissipation component is predicted; according to the cleaning requirement probability, it is determined whether to obtain the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension.

[0095] It should be noted that the real-time operating parameter information is used to characterize the real-time operating condition characteristics, which may be temperature parameters, environmental parameters, and accumulated operating time, etc. The neural network model is used to actively predict whether there is a need for cleaning during the operation of the heat dissipation component, so that when there is a need for cleaning, the heat dissipation performance evaluation indicators of the heat dissipation component in different dimensions can be directly obtained. Among them, the probability of cleaning need is used to characterize the degree of cleaning need for the heat dissipation component.

[0096] As an example, feature extraction is performed on the real-time operating parameter information of the heat dissipation component during operation to obtain real-time operating parameter features, and the real-time operating parameter features are input into a preset cleaning requirement probability prediction model, and the cleaning requirement probability of the heat dissipation component is output through the preset cleaning requirement probability prediction model; when the cleaning requirement probability is greater than the preset cleaning requirement probability threshold, it is determined to obtain the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension; when the cleaning requirement probability is less than or equal to the preset cleaning requirement probability threshold, it is determined not to obtain the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension. Through this embodiment, the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system in different dimensions can be actively captured during the operation of the heat dissipation component, thereby avoiding the collection of invalid data. Therefore, while laying the foundation for improving the cleaning accuracy of the heat dissipation component of the air cooling system, the effectiveness of obtaining the heat dissipation performance evaluation index is improved.

[0097] In one feasible manner, assuming that the air cooling system is a direct air cooling system, whether the heat dissipation components need to be cleaned is mainly determined by the correlation between the heat dissipation performance and the degree of dirtiness of the heat dissipation components, that is, the current degree of dirtiness of the heat dissipation fins is determined by heat exchange efficiency calculation, wherein the input parameters mainly include the exhaust steam temperature at the inlet of the air cooling island, the average return water temperature of the condensate branch pipe, the inlet temperature and the lowest average temperature of the wind chamber unit, and then the inlet water temperature, outlet water temperature, inlet air temperature and outlet air temperature of the air cooling unit are determined by the above input parameters, and finally the "cleanliness index" (or cleanliness factor) is output through functional relationship calculation to determine the degree of dirtiness of the heat dissipation fins in the current wind chamber unit area, and based on the above judgment, a cleaning decision basis is provided to the operating personnel, and after determining that cleaning is needed, the on-site cleaning equipment is linked to clean the areas with more serious dirtiness.

[0098] That is, taking the heat dissipation performance index of the heat dissipation component as the starting point, the heat dissipation performance evaluation index for evaluating the heat dissipation performance of the heat dissipation component is integrated into the cleanliness index that characterizes the heat dissipation performance maintenance level, and then the correlation between the heat dissipation performance of the heat dissipation component and the heat dissipation performance maintenance level can be established through the cleanliness index, and finally through the quantitative cleanliness index, it is determined whether to clean the heat dissipation component, so that the purpose of cleaning the heat dissipation component based on the cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component can be achieved, that is, a quantitative basis is provided for the cleaning of the heat dissipation component, and then the actual cleaning needs of the heat dissipation component can be objectively evaluated. Therefore, the technical defect that the qualitative evaluation of the dirtiness of the heat dissipation component is easily affected by human subjective factors, resulting in the inability to objectively feed back the actual cleaning needs of the heat dissipation component, and then the situation of untimely cleaning or excessive cleaning is prone to occur is overcome. Therefore, the cleaning accuracy of the heat dissipation component of the air cooling system is improved.

[0099] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0100] Based on the same inventive concept, the embodiment of the present application also provides a heat dissipation component cleaning device for implementing the heat dissipation component cleaning method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more heat dissipation component cleaning device embodiments provided below can refer to the limitations of the heat dissipation component cleaning method above, and will not be repeated here.

[0101] In an exemplary embodiment, Figure 4 As shown, a heat dissipation component cleaning device is provided, including: an acquisition module 401, a fusion module 402 and a determination module 403, wherein:

[0102] An acquisition module 401 is used to acquire a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension;

[0103] A fusion module 402 is used to fuse the heat dissipation performance evaluation indicators according to a preset correlation model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance indicator of the heat dissipation component and the cleanliness indicator;

[0104] The determination module 403 is used to determine whether to clean the heat dissipation component according to the cleanliness index.

[0105] In one embodiment, the heat dissipation component is deployed in an air cooling unit, the air cooling system includes at least one air cooling unit, the heat dissipation performance evaluation index includes a heat dissipation efficiency evaluation index and a heat dissipation effectiveness evaluation index; the acquisition module 401 is also used to:

[0106] For any of the air-cooling units, the water temperature deviation value and the heat exchange deviation value of the air-cooling unit are obtained; the heat dissipation efficiency evaluation index is obtained by fusing the water temperature deviation values, and the heat dissipation performance evaluation index is obtained by fusing the heat exchange deviation values.

[0107] In one embodiment, the heat exchange deviation value includes a first heat exchange deviation value and a second heat exchange deviation value; the acquisition module 401 is further used for:

[0108] Obtain the inlet water temperature, outlet water temperature, inlet air temperature and outlet air temperature of the air cooling unit; subtract the inlet water temperature from the outlet water temperature to obtain the water temperature deviation value; subtract the inlet water temperature from the inlet air temperature to obtain the first heat exchange deviation value, and subtract the outlet water temperature from the outlet air temperature to obtain the second heat exchange deviation value.

[0109] In one embodiment, the heat dissipation performance evaluation index includes a first heat dissipation performance evaluation index and a second heat dissipation performance evaluation index; the fusion module 402 is further used to:

[0110] According to the first heat dissipation efficiency evaluation index and the corresponding first evaluation index threshold, the first heat dissipation efficiency actual index of the heat dissipation component is determined, and according to the second heat dissipation efficiency evaluation index and the corresponding second evaluation index threshold, the second heat dissipation efficiency actual index of the heat dissipation component is determined; according to the first heat dissipation efficiency actual index and the second heat dissipation efficiency actual index, the first eigenvalue of the heat dissipation efficiency associated index in the preset association relationship model is determined; according to the heat dissipation efficiency evaluation index, the second eigenvalue of the heat dissipation efficiency associated index in the preset association relationship model is determined; the first eigenvalue and the second eigenvalue are combined to form a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component.

[0111] In one embodiment, the cleanliness index includes a cleanliness index of each of the air cooling units; the cleaning module 403 is further used for:

[0112] According to each of the cleanliness sub-indicators, a positioning result is obtained to determine whether there is an area to be cleaned on the heat dissipation component; and according to the positioning result, it is determined whether to clean the heat dissipation component.

[0113] In one embodiment, the heat dissipation component cleaning device is also used for:

[0114] According to the real-time operating parameter information of the heat dissipation component during operation, the probability of cleaning requirement of the heat dissipation component is predicted; according to the cleaning requirement probability, it is determined whether to obtain the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension.

[0115] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for cleaning a heat dissipation component is implemented. Those skilled in the art can understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0116] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0117] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0118] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0119] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0120] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0121] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for cleaning a heat dissipation component, characterized in that: The method comprises: Obtaining a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension; According to a preset correlation model, each of the heat dissipation performance evaluation indicators is integrated to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance indicator of the heat dissipation component and the cleanliness indicator; Whether to clean the heat dissipation component is determined according to the cleanliness index.

2. The method according to claim 1, characterized in that: The heat dissipation component is deployed in an air cooling unit, the air cooling system includes at least one of the air cooling units, the heat dissipation performance evaluation index includes a heat dissipation efficiency evaluation index and a heat dissipation effectiveness evaluation index; the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension is obtained, including: For any of the air cooling units, obtaining a water temperature deviation value and a heat exchange deviation value of the air cooling unit; By fusing the water temperature deviation values, the heat dissipation efficiency evaluation index is obtained, and by fusing the heat exchange deviation values, the heat dissipation performance evaluation index is obtained.

3. The method according to claim 2, characterized in that The heat exchange deviation value includes a first heat exchange deviation value and a second heat exchange deviation value; and obtaining the water temperature deviation value and the heat exchange deviation value of the air cooling unit includes: Obtaining the water inlet temperature, water outlet temperature, air inlet temperature and air outlet temperature of the air cooling unit; Difference between the water inlet temperature and the water outlet temperature to obtain the water temperature deviation value; The first heat exchange deviation value is obtained by subtracting the water inlet temperature from the inlet air temperature, and the second heat exchange deviation value is obtained by subtracting the water outlet temperature from the outlet air temperature.

4. The method according to claim 3, characterized in that The heat dissipation performance evaluation index includes a first heat dissipation performance evaluation index and a second heat dissipation performance evaluation index; the heat dissipation performance evaluation indexes are merged according to a preset correlation model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, including: Determine a first actual heat dissipation performance index of the heat dissipation component according to the first heat dissipation performance evaluation index and the corresponding first evaluation index threshold, and determine a second actual heat dissipation performance index of the heat dissipation component according to the second heat dissipation performance evaluation index and the corresponding second evaluation index threshold; Determining a first characteristic value of the heat dissipation performance correlation index in the preset correlation relationship model according to the first heat dissipation performance actual index and the second heat dissipation performance actual index; Determining a second characteristic value of the heat dissipation efficiency correlation index in the preset correlation relationship model according to the heat dissipation efficiency evaluation index; The first characteristic value and the second characteristic value are combined to form a cleanliness index that provides feedback on the heat dissipation performance maintenance level of the heat dissipation component.

5. The method according to claim 2, characterized in that: The cleanliness index includes a cleanliness index of each of the air cooling units; and determining whether to clean the heat dissipation component according to the cleanliness index includes: According to each of the cleanliness sub-indicators, a positioning result is obtained as to whether there is an area to be cleaned on the heat dissipation component; According to the positioning result, it is determined whether to clean the heat dissipation component.

6. The method according to claim 1, characterized in that Before obtaining the heat dissipation performance evaluation index of the heat dissipation component in the air cooling system under at least one evaluation dimension, the method further includes: Predicting the probability of cleaning requirement of the heat dissipation component according to the real-time operation parameter information of the heat dissipation component during operation; According to the cleaning requirement probability, it is determined whether to obtain a heat dissipation performance evaluation index of a heat dissipation component in the air cooling system under at least one evaluation dimension.

7. A heat dissipation component cleaning device, characterized in that: The device comprises: An acquisition module, used to acquire a heat dissipation performance evaluation index of a heat dissipation component in an air cooling system under at least one evaluation dimension; A fusion module, used to fuse the heat dissipation performance evaluation indicators according to a preset correlation model to obtain a cleanliness index that feeds back the heat dissipation performance maintenance level of the heat dissipation component, wherein the preset correlation model is used to characterize the correlation between the heat dissipation performance indicator of the heat dissipation component and the cleanliness indicator; A determination module is used to determine whether to clean the heat dissipation component according to the cleanliness index.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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