Air conditioner fin defrosting method and device, air conditioner and storage medium

Abstract

The application discloses a kind of air conditioner fin defrosting method, device, air conditioner and storage medium, the method is applied to air conditioner, air conditioner fin of air conditioner has shape memory function, method includes: whether air conditioner fin needs defrosting is judged;When needing defrosting, the target deformation parameter of air conditioner fin is determined;According to target deformation parameter control heating device is heated to air conditioner fin, makes air conditioner fin produce deformation to realize defrosting;Monitoring defrosting effect and according to monitoring result dynamically adjusts the control parameter of heating device, until reaching preset defrosting effect.Through the heating of target deformation parameter control to air conditioner fin with shape memory function, make air conditioner fin produce controlled deformation to break frost layer, and through monitoring defrosting effect and dynamically adjusting control parameter until reaching preset effect, to realize accurate controllable defrosting process, solve the technical problem that traditional defrosting mode needs to interrupt air conditioner operation.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and in particular to a method and device for defrosting air conditioner fins, an air conditioner, and a storage medium. Background Art

[0002] During air conditioning system operation, especially in low-temperature, high-humidity environments, frost easily forms on the heat exchange fins of the air conditioner's outdoor unit. This frost formation can affect the system's performance: first, it reduces the heat exchange efficiency between the fins and the air; second, it increases air flow resistance, leading to increased energy consumption. Currently, the mainstream defrosting method involves reverse-cycle defrosting. This method achieves defrost by reversing the refrigerant's flow direction, but this method temporarily interrupts normal air conditioning operation. Summary of the Invention

[0003] The main purpose of the present invention is to provide an air conditioner fin defrosting method, device, air conditioner and storage medium to solve the above technical problems.

[0004] In a first aspect, the present invention provides a method for defrosting air conditioner fins, the method being applied to an air conditioner, wherein the air conditioner fins of the air conditioner have a shape memory function, the method comprising:

[0005] Determining whether the air conditioner fins need to be defrosted;

[0006] When defrosting is required, determining a target deformation parameter of the air conditioner fin;

[0007] controlling a heating device to heat the air conditioner fins according to the target deformation parameter, so that the air conditioner fins are deformed to achieve defrosting;

[0008] The defrosting effect is monitored and the control parameters of the heating device are dynamically adjusted according to the monitoring results until a preset defrosting effect is achieved.

[0009] Wherein, the determining whether the air conditioner fins need to be defrosted includes:

[0010] monitoring the ambient temperature and humidity of the air conditioning fins;

[0011] When the ambient temperature is lower than a preset temperature threshold and the ambient humidity is higher than a preset humidity threshold for a period of time exceeding a preset time, it is determined that defrosting is required.

[0012] Wherein, the target deformation parameters include a target deformation amount and a target deformation rate; and determining the target deformation parameters of the air conditioner fins includes:

[0013] Obtaining target frost layer characteristic parameters of the air conditioner fin;

[0014] The target deformation amount and the target deformation rate corresponding to the target frost layer characteristic parameter are determined according to a preset correspondence between the frost layer characteristic parameter and the deformation parameter.

[0015] The target frost layer characteristic parameters include a frost layer thickness parameter and a frost layer hardness parameter; and obtaining the target frost layer characteristic parameters of the air conditioner fin includes:

[0016] Obtaining the frost layer thickness parameter according to the pressure exerted by the frost layer on the surface of the air conditioner fin;

[0017] The frost layer hardness parameter is obtained according to the frost layer thickness parameter, the ambient temperature of the air conditioner fin and the frost layer formation time.

[0018] The step of controlling the heating device to heat the air conditioner fins according to the target deformation parameter so as to deform the air conditioner fins to achieve defrosting includes:

[0019] determining the heating power and heating time of the heating device according to the target deformation parameter;

[0020] The heating device is controlled to heat the air-conditioning fins according to the heating power within the heating time, so that the air-conditioning fins are deformed to achieve defrosting.

[0021] The monitoring of the defrosting effect and the dynamic adjustment of the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved include:

[0022] Perform the following steps according to the preset sampling time interval:

[0023] Obtaining an actual deformation amount and an actual deformation rate of the air conditioner fin;

[0024] Calculating a first deviation between the actual deformation and the target deformation, and a second deviation between the actual deformation rate and the target deformation rate;

[0025] When the first deviation value exceeds a first preset range or the second deviation value exceeds a second preset range, the heating power and / or heating time of the heating device are adjusted accordingly;

[0026] It is determined whether a defrosting completion condition is met. When the defrosting completion condition is met, the heating of the heating device is stopped, and the shape of the air conditioner fin is controlled to return to an initial state.

[0027] Wherein, after controlling the heating device to heat the air conditioner fin according to the target deformation parameter so as to deform the air conditioner fin to achieve defrosting, the method further includes:

[0028] When the change in the environmental parameter is greater than a preset change, the control parameter of the heating device is adjusted accordingly.

[0029] In a second aspect, the present invention further provides an air conditioner fin defrosting device, the air conditioner fin defrosting device being deployed in an air conditioner, the air conditioner fins of the air conditioner having a shape memory function, the air conditioner fin defrosting device comprising:

[0030] a defrost judging unit, configured to judge whether the air conditioner fins need to be defrosted;

[0031] a target deformation parameter determining unit, configured to determine a target deformation parameter of the air conditioner fin when defrosting is required;

[0032] a deformation control unit, configured to control a heating device to heat the air-conditioning fins according to the target deformation parameter, so as to deform the air-conditioning fins to achieve defrosting;

[0033] The monitoring control unit is used to monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved.

[0034] In a third aspect, the present invention further provides an air conditioner comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the air conditioner fin defrosting method described in the first aspect when executing the computer program.

[0035] In a fourth aspect, the present invention further provides a storage medium storing a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor executes the air conditioner fin defrosting method described in the first aspect.

[0036] The beneficial technical effects of the present invention are as follows: by heating the air-conditioning fins with shape memory function under the control of target deformation parameters, the air-conditioning fins are caused to produce controlled deformation to break the frost layer, and by monitoring the defrosting effect and dynamically adjusting the control parameters until the preset effect is achieved, a precise and controllable defrosting process is achieved, solving the technical problem that the traditional defrosting method requires interruption of the air-conditioning operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] 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 description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A schematic flow chart of a method for defrosting air conditioner fins provided by an embodiment of the present invention;

[0039] Figure 2 A flowchart of judging whether defrosting is needed in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0040] Figure 3 A flowchart of determining the target deformation parameter of the fin of the air conditioner in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0041] Figure 4 A flowchart of obtaining the target frost layer characteristic parameter in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0042] Figure 5 A flowchart of heating control in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0043] Figure 6 A flowchart of environmental adaptability control in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0044] Figure 7 A flowchart of defrosting effect monitoring and adjustment in the fin defrosting method of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0045] Figure 8 A schematic block diagram of the fin defrosting device of the air conditioner provided by the embodiment of the present application is shown in the figure;

[0046] Figure 9 A schematic block diagram of the air conditioner provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0048] It should be understood that, when used in the present specification and the appended claims, the terms “comprise” and “include” indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0049] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0050] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0051] Please also refer to Figure 1-Figure 7 ,in Figure 1 A schematic flow chart of a method for defrosting air conditioner fins provided by an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of determining whether defrosting is required in a method for defrosting air conditioner fins provided by an embodiment of the present invention; Figure 3 A schematic diagram of a flow chart of determining target deformation parameters of air conditioner fins in a method for defrosting air conditioner fins provided by an embodiment of the present invention; Figure 4 A schematic diagram of a process for obtaining target frost layer characteristic parameters in a method for defrosting air conditioner fins provided by an embodiment of the present invention; Figure 5 A schematic diagram of a heating control flow of an air conditioner fin defrosting method provided by an embodiment of the present invention; Figure 6 A schematic flow chart of environmental adaptability control of an air conditioner fin defrosting method according to an embodiment of the present invention; Figure 7 A flow chart of monitoring and adjusting the defrosting effect of the air-conditioning fin defrosting method provided in an embodiment of the present invention. An embodiment of the present invention provides an air-conditioning fin defrosting method, which is applied to an air-conditioning, wherein the air-conditioning fins of the air-conditioning have a shape memory function. The air-conditioning fins are made of a memory alloy, and the memory alloy may be a nickel-titanium alloy, and its phase change temperature range is -15°C to 5°C, and it can achieve an automatic defrosting function through the shape memory effect. Specifically, when the air-conditioning fins made of the memory alloy (hereinafter referred to as air-conditioning fins or memory alloy air-conditioning fins) are heated to a temperature higher than the phase change temperature, they will restore the preset shape through the shape memory effect. This controlled deformation can generate sufficient mechanical force to destroy and peel off the frost layer on its surface.

[0052] like Figure 1 As shown, the method includes the following steps S100-S400.

[0053] S100: Determine whether air conditioner fins need to be defrosted.

[0054] In this embodiment, the judgment process mainly relies on the cooperation of temperature sensors and humidity sensors. The temperature sensor monitors the change of the ambient temperature in real time, and the humidity sensor continuously tracks the change of the ambient humidity. The two work together to accurately identify the environmental conditions that may cause frosting. When this environmental condition continues to run for a period of time, it means that the frost layer has accumulated to a certain extent, and at this time it is determined that defrosting operation is needed.

[0055] In other embodiments, whether defrosting is needed is determined by image recognition: a miniature camera is installed in the area of the air conditioner fin of the outdoor unit of the air conditioner to collect image data of the surface of the air conditioner fin; the reflective properties and texture features of the surface of the air conditioner fin are analyzed using an image processing algorithm. When obvious frost layer features (such as changes in reflectivity, surface texture blurring, etc.) are detected on the surface of the air conditioner fin; combined with a deep learning algorithm, the coverage degree (including area and thickness) of the frost layer in the image is identified through a pre-trained neural network model. When the coverage degree exceeds a preset threshold (for example, 30%), it is determined that defrosting operation is needed. Here, the coverage degree exceeding the preset threshold means that the coverage area and the coverage thickness exceed the preset threshold, respectively.

[0056] S200, when defrosting is needed, determining the target deformation parameter of the air conditioner fin.

[0057] In this embodiment, when it is determined that defrosting is needed, the target deformation parameter of the air conditioner fin is determined according to the current frost layer state. The target deformation parameter includes the deformation amount and the deformation rate that the air conditioner fin needs to achieve, which directly affect the effect and efficiency of defrosting. The determination process of the target deformation parameter considers factors such as frost layer thickness and hardness.

[0058] In this embodiment, the deformation amount refers to the degree of deformation of the air conditioner fin during the defrosting process, which can be represented by the displacement size: the maximum displacement distance of the air conditioner fin from the initial state to the deformed state, in millimeters (mm). The deformation rate represents the speed of deformation of the air conditioner fin, i.e. the change in deformation amount per unit time, which can be represented by the displacement rate: the displacement change per second, in millimeters per second (mm / s).

[0059] The deformation amount determines whether sufficient mechanical force can be generated to break and peel off the frost layer; the deformation rate affects the efficiency of defrosting and the stress impact on the air conditioner fin, and too fast deformation rate may damage the air conditioner fin, and too slow may affect the defrosting efficiency. Therefore, in actual application, these two parameters need to be controlled according to the characteristics of the frost layer to achieve the optimal defrosting effect.

[0060] S300, according to the target deformation parameter, controlling the heating device to heat the air conditioner fin to make the air conditioner fin deform to achieve defrosting.

[0061] In this embodiment, after determining the target deformation parameters, the operation of the heating device is controlled based on these parameters. The heating device can be an electric heater or other heating element. The desired deformation of the air conditioner fins is achieved by adjusting the heating power and duration. During the heating process, the fins gradually transform from their initial state to a predetermined curved or corrugated shape. This deformation effectively destroys and removes frost.

[0062] In this embodiment, the air conditioner fins are initially designed in a corrugated shape, and the heating device is controlled to transform the original corrugation into a tighter pleated shape. This change in the corrugation spacing generates sufficient mechanical force to effectively remove the frost layer.

[0063] S400: Monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved.

[0064] In this embodiment, the defrost effect is continuously monitored during the defrost process. Monitoring includes the actual deformation of the air conditioner fins, the actual deformation rate, and the frost shedding. Based on the monitoring results, the control parameters of the heating device, such as heating power and heating time, can be adjusted in real time to ensure that the defrost process remains optimal. This dynamic adjustment mechanism continues until the preset defrost effect is achieved. The preset defrost effect here is such that the pressure on the air conditioner fin surface returns to above 90% of its initial value, indicating that the frost layer has essentially shed.

[0065] In this embodiment, the defrost process is ensured to always remain in the optimal state. The optimal state here specifically refers to: the control parameters of the heating device (heating power, heating time) can ensure that the defrost process can be close to or achieve the expected effect without causing excessive stress on the air conditioner fins.

[0066] It can be seen that, through steps S100-S400 of the embodiment of the present invention, the air-conditioning fins with shape memory function are heated with target deformation parameters controlled, so that the air-conditioning fins produce controlled deformation to mechanically break the frost layer, avoiding the high energy consumption problem of traditional electric heating defrosting that requires complete melting of the frost layer, and by monitoring the defrosting effect and dynamically adjusting the control parameters until the preset effect is achieved, a precise and controllable defrosting process is realized, and at the same time solves the technical problem that the traditional defrosting method requires interruption of air-conditioning operation.

[0067] In one embodiment, S100, determining whether the air conditioner fins need to be defrosted, includes: S101, monitoring the ambient temperature and ambient humidity of the air conditioner fins; S102, when the ambient temperature is lower than a preset temperature threshold and the ambient humidity is higher than a preset humidity threshold for a period of time exceeding a preset time, determining that defrosting is required.

[0068] In this embodiment, when determining whether the air conditioner fins need to be defrosted, the decision is mainly made by monitoring two parameters: ambient temperature and ambient humidity. In specific implementation:

[0069] Temperature monitoring uses high-precision PT100 platinum resistance temperature sensors. Multiple temperature sensors are evenly distributed around the air conditioner fins to ensure accurate capture of local temperature changes. The preset temperature threshold is set to -15°C.

[0070] Humidity monitoring uses HIH-4000 series capacitive humidity sensors with a measurement range of 0-100% relative humidity. The preset humidity threshold is set to 70% relative humidity, and when the ambient humidity exceeds this threshold, the risk of frosting increases significantly.

[0071] When the monitored ambient temperature is below -15°C and the relative humidity is above 70% for more than a preset time (e.g., 30 minutes), it indicates that the air conditioner fin surface has formed a frost layer and accumulated to a certain extent, and the defrosting program needs to be started. This dual judgment mechanism can effectively avoid misjudgment and improve the accuracy and timeliness of defrosting control.

[0072] In an embodiment, the target deformation parameters include a target deformation amount and a target deformation rate; in S200, determining the target deformation parameters of the air conditioner fins includes: S201, obtaining target frost layer characteristic parameters of the air conditioner fins; S202, determining the target deformation amount and the target deformation rate corresponding to the target frost layer characteristic parameters according to a preset corresponding relationship between the frost layer characteristic parameters and the deformation parameters.

[0073] In this embodiment, when determining the target deformation parameters of the air conditioner fins, the target deformation amount and the target deformation rate need to be determined respectively. The specific implementation process is as follows:

[0074] First, the target frost layer characteristic parameters on the air conditioner fins are obtained through sensors. This parameter reflects the physical characteristics of the frost layer and is the basis for determining the target deformation parameters. By looking up the preset corresponding relationship between the frost layer characteristic parameters and the deformation parameters, the target frost layer characteristic parameters can be mapped to the optimal target deformation amount and target deformation rate.

[0075] The preset corresponding relationship between the frost layer characteristic parameters and the deformation parameters is a mapping table established through a large amount of experimental data, which contains the optimal deformation parameters under different frost layer conditions. For example, when detecting slight frosting (frost layer thickness less than 1mm), a smaller target deformation amount and a slower target deformation rate are selected. When detecting severe frosting (frost layer thickness greater than 3mm), the target deformation amount and the target deformation rate are increased accordingly.

[0076] The dynamic parameter determination mechanism based on the frost layer characteristics can ensure that the defrosting process can approach or achieve the expected effect, and will not cause excessive stress to the air conditioner fin, thereby prolonging the service life of the air conditioner fin.

[0077] In an embodiment, the target frost layer characteristic parameters include a frost layer thickness parameter and a frost layer hardness parameter; S201, obtaining the target frost layer characteristic parameters of the air conditioner fin, includes: S2011, obtaining the frost layer thickness parameter according to the pressure applied by the frost layer to the surface of the air conditioner fin; S2012, obtaining the frost layer hardness parameter according to the frost layer thickness parameter, the environmental temperature of the air conditioner fin, and the frost layer formation time.

[0078] In this embodiment, S2011, obtaining the frost layer thickness parameter according to the pressure applied by the frost layer to the surface of the air conditioner fin, specifically includes: arranging multiple pressure sensors on the surface of the air conditioner fin to form a measurement array; collecting the pressure values detected by the pressure sensors; and calculating the frost layer thickness parameter according to the following empirical formula: h=k×P+b, where h represents the frost layer thickness, the unit is mm; P represents the detected pressure value, the unit is kPa; k is a proportional coefficient, and b is a correction constant.

[0079] S2012, obtaining the frost layer hardness parameter according to the frost layer thickness parameter, the environmental temperature of the air conditioner fin, and the frost layer formation time, specifically includes: obtaining the real-time environmental temperature of the air conditioner fin and the frost layer formation time; and calculating the frost layer hardness parameter according to the following empirical formula: H=floor(α×h+β×t+γ×(1 / |T-(-15)|)), where H represents the frost layer hardness value; h represents the frost layer thickness, the unit is mm; t represents the frost layer formation time, the unit is min; T represents the environmental temperature, the unit is ℃; α is a thickness influence coefficient, β is a time influence coefficient, and γ is a temperature influence coefficient; floor() represents the floor function.

[0080] In this embodiment, the frost layer formation time refers to the cumulative time during which the environmental temperature is continuously lower than -15℃ and the relative humidity is continuously higher than 70% from the time when the environmental temperature is first lower than -15℃ and the relative humidity is first higher than 70% to the start of the defrosting operation.

[0081] In a specific embodiment, when obtaining the target frost layer characteristic parameters of the air conditioner fin, the frost layer thickness parameter and the frost layer hardness parameter need to be determined respectively. This embodiment provides a step of detecting the frost layer thickness parameter based on pressure and obtaining the frost layer hardness parameter based on the frost layer thickness parameter and other parameters.

[0082] First, to obtain the frost thickness parameter, an MPX5700 strain gauge pressure sensor is used to monitor the pressure on the air conditioner fin surface in real time. The pressure sensors are arranged in an array, with multiple measurement points evenly distributed across the fin surface. As the frost layer thickness increases, the pressure exerted by the frost on the fin surface gradually increases. The frost thickness parameter is determined using a pre-established relationship between pressure and frost thickness. Specifically, the relationship between frost layer thickness and pressure is empirically expressed as: h = k × P + b. The proportionality coefficient k and correction constant b can be determined experimentally.

[0083] Secondly, during the frost formation process, its hardness has a certain corresponding relationship with the frost thickness, ambient temperature, and formation time. When determining the frost hardness parameters, the pre-established mapping relationship between these parameters can achieve a reliable estimation of the frost hardness.

[0084] Specifically, frost hardness (H) is related to the following parameters: h represents frost thickness (mm), t represents frost formation time (min), and T represents ambient temperature (°C). The empirical formula is: H = floor(α × h + β × t + γ × (1 / |T - (-15)|)). Here, |T - (-15)| represents the absolute difference between the ambient temperature and -15°C. The coefficients α, β, and γ can be obtained experimentally.

[0085] In a more specific embodiment, the proportionality coefficient k and correction constant b in the empirical formula h = k × P + b relating frost thickness to pressure can be obtained in the laboratory through the following process: In a laboratory environment, frost growth experiments are conducted using air conditioner fins, controlled at a temperature of approximately -15°C and a relative humidity above 70%. Frost thickness is calibrated using a precision laser rangefinder as a reference, while simultaneously recording the output of a pressure sensor located on the fin surface. The specific experimental process is as follows:

[0086] In a temperature and humidity controlled laboratory, a standard air-conditioning fin sample was used, and 9 pressure sensors were evenly arranged on the surface of the air-conditioning fin to form a 3×3 measurement array.

[0087] A set of experimental data was recorded every 30 minutes; each set of experimental data included: pressure values ​​at 9 measurement points and frost thickness values ​​at the corresponding positions; the recording lasted for 8 hours, and a total of 16 sets of data were obtained; the experiment was repeated 3 times to ensure the reliability of the experimental data.

[0088] Calculate the average pressure value P_avg for each of the nine measurement points in each data set. Calculate the corresponding average frost layer thickness h_avg. Plot the data points in a coordinate system with pressure (kPa) on the horizontal axis and thickness (mm) on the vertical axis. Use the least squares method to perform a linear fit on the experimental data to obtain specific k and b values.

[0089] The advantages of this calibration method include: controllable experimental conditions and reliable experimental data; good repeatability, making it easy to replicate in other laboratories; consideration of the averaging effect of multiple-point measurements, improving accuracy; and facilitating verification of the applicability of empirical formulas under different operating conditions. This calibration method provides a reliable parameter basis for engineering practice, ensuring high accuracy and reliability in online monitoring of frost thickness.

[0090] In a more specific embodiment, the influencing coefficients in the empirical formula relating frost hardness to frost thickness, ambient temperature, and formation time can be obtained in the laboratory through the following process: Frost hardness testing is conducted using standard air conditioner fin specimens in a temperature and humidity controlled laboratory environment. To ensure the comprehensiveness and reliability of the experimental data, a multi-factor orthogonal experimental method is used to study the three main factors affecting frost hardness. The experimental design includes the following key variables: frost thickness range: 0.5-5mm, with test points every 1mm; ambient temperature range: -20°C to -10°C, with test points every 5°C; frost formation time range: 30-240 minutes, with test points every 30 minutes.

[0091] Under each operating condition, the following measurements were performed: a hardness tester was used to measure the hardness of the frost layer at five different locations on the surface; the current frost layer thickness, ambient temperature, and frost formation time were recorded; each set of operating conditions was tested three times and the average value was taken. Multiple linear regression analysis was used to determine the values ​​of the influence coefficients α, β, and γ.

[0092] The advantages of this experimental method are its strong systematicity and good repeatability, providing a reliable parameter basis for engineering practice. The influence coefficient obtained by this method can better reflect the quantitative relationship between frost hardness and various influencing factors.

[0093] In other embodiments, in obtaining the target frost layer characteristic parameters of the air-conditioning fins, the frost layer thickness parameters can also be calculated based on the change in ambient humidity before and after the air-conditioning fins are frosted. The specific measurement needs to be performed in a specific area around the air-conditioning fins to ensure the accuracy of the calculation. The principle of this calculation method for calculating the frost layer thickness by the change in ambient humidity is based on thermodynamics and phase change principles. Specifically, under certain temperature and pressure conditions, the amount of water vapor that can be accommodated in the air is limited. When saturation is reached, excess water vapor will condense into frost. By monitoring the changes in ambient humidity of the air near the surface of the air-conditioning fins before and after frosting, combined with the ideal gas state equation and the definition of relative humidity, the amount of water vapor condensed into frost can be calculated, and then the thickness of the frost layer on the surface of the air-conditioning fins can be roughly estimated. This embodiment calculates the frost layer thickness parameters by monitoring the changes in ambient humidity before and after the air-conditioning fins are frosted, and can be used as a non-contact frost layer detection method.

[0094] In an embodiment, S300, the heating device is controlled to heat the air conditioner fin according to the target deformation parameter, so that the air conditioner fin is deformed to achieve defrosting, comprising: S301, determining the heating power and heating time of the heating device according to the target deformation parameter; S302, controlling the heating device to heat the air conditioner fin according to the heating power within the heating time, so that the air conditioner fin is deformed to achieve defrosting.

[0095] In this embodiment, when the heating device is controlled to defrost according to the determined target deformation parameter, the heating power and heating time need to be calculated and controlled. In actual implementation process, the heating power is first determined according to the target deformation rate, and the heating time is determined according to the target deformation amount.

[0096] The calculation of the heating power needs to consider the phase change characteristics of the air conditioner fin containing the memory alloy material and the influence of the environmental temperature. The heat Q required for the memory alloy air conditioner fin to rise from the initial temperature T0 to the phase change temperature Tt can be calculated by the following formula: Q = m x c x (Tt - T0), wherein m is the mass of the memory alloy, and c is the specific heat capacity of the memory alloy. Considering the heat loss, the actual required heat should be increased by about 30% compensation on the basis of the theoretical value. Therefore, the heating power P can be represented as: P = k x Q / t, wherein k is a compensation coefficient, and t is the target time to reach the phase change temperature. The target time t is inversely proportional to the target deformation rate V, which can be represented as: t = a / V, wherein a is a proportional coefficient, which is obtained by experimental calibration.

[0097] The determination of the heating time mainly depends on the target deformation amount D. When the memory alloy air conditioner fin reaches the phase change temperature, the deformation amount gradually increases with the heating time until it reaches the target value. According to the experimental data fitting, the deformation amount and the heating time are approximately linearly related: T = b x D, wherein T is the required heating time, and b is a proportional coefficient calibrated by experiment. In order to ensure sufficient and stable deformation, the actual heating time should be appropriately extended by 10-15% on the basis of the theoretical value.

[0098] In actual control process, the heating power is dynamically adjusted according to the real-time temperature of the memory alloy air conditioner fin fed back by the temperature sensor, and the heating time is real-time corrected according to the actual deformation amount fed back by the displacement sensor, so as to ensure the defrosting effect.

[0099] In this embodiment, the heating device includes electric heating wires uniformly distributed on the surface of the air conditioner fin. In other embodiments, other heating devices can be used as long as the control of the heating power and the heating time can be realized.

[0100] In an embodiment, S400, the defrosting effect is monitored and the control parameters of the heating device are dynamically adjusted according to the monitoring results until the preset defrosting effect is achieved, comprising: the following steps are executed according to the preset sampling time interval:

[0101] S401, obtaining an actual deformation amount and an actual deformation rate of the air conditioner fin; S402, calculating a first deviation value of the actual deformation amount and a target deformation amount, and a second deviation value of the actual deformation rate and a target deformation rate; S403, when the first deviation value exceeds a first preset range or the second deviation value exceeds a second preset range, adjusting the heating power and / or the heating time of the heating device accordingly; S404, judging whether a defrosting completion condition is met, and stopping the heating of the heating device and controlling the shape of the air conditioner fin to return to an initial state when the defrosting completion condition is met.

[0102] In the embodiment, the control of the defrosting process is realized by establishing a defrosting effect monitoring and dynamic adjustment mechanism. The monitoring and adjustment cycle is performed once every preset sampling time interval (for example, every 30 seconds), and the specific implementation process is as follows:

[0103] Obtaining actual deformation parameters: a linear displacement sensor is used to monitor the actual deformation state of the air conditioner fin in real time. The displacement sensor sets multiple measurement points on the surface of the air conditioner fin, and the actual deformation amount and the actual deformation rate of the air conditioner fin are calculated through a data fusion algorithm. For example, when the displacement values of the three measurement points are 2.5 mm, 2.3 mm and 2.4 mm respectively, the actual deformation amount is obtained by weighted average as 2.4 mm. The displacement data is collected every 5 seconds, and the deformation amount difference between adjacent sampling time points is calculated by dividing the time interval to obtain the actual deformation rate.

[0104] Deviation calculation and evaluation: the first deviation value of the actual deformation amount and the target deformation amount, and the second deviation value of the actual deformation rate and the target deformation rate are calculated respectively. The specific calculation formula is: the first deviation value = |actual deformation amount-target deformation amount| / target deformation amount x 100%; the second deviation value = |actual deformation rate-target deformation rate| / target deformation rate x 100%.

[0105] The first preset range is set as ±5%, and the second preset range is set as ±10%. When any deviation value exceeds its preset range, the dynamic adjustment mechanism of the control parameter is triggered.

[0106] Dynamic adjustment of control parameters: according to the size and direction of the deviation value, the fuzzy control algorithm is used to adjust the control parameters of the heating device: when the first deviation value is positive and exceeds the range (the actual deformation amount is too large), the heating power is reduced by 15%-20%, or the heating time is shortened by 2-3 seconds. When the first deviation value is negative and exceeds the range (the actual deformation amount is insufficient), the heating power is increased by 15%-20%, or the heating time is extended by 2-3 seconds. When the second deviation value exceeds the range, the heating power is mainly adjusted to control the deformation rate. For example, when the actual deformation rate is too fast, the heating power is appropriately reduced.

[0107] Defrost completion determination: Defrosting is determined by comprehensively analyzing multiple parameters. Specific criteria include: Environmental parameter indicators: The ambient temperature rises above -10°C and the relative humidity drops below 65%. Air conditioner fin status indicator: The fin surface pressure returns to above 90% of its initial value, indicating that the frost layer has basically fallen off.

[0108] When either of these two conditions is met and remains stable for more than one minute, defrosting is considered complete. The heating device is then stopped, and the air conditioner fins are smoothly restored to their initial state. This multi-parameter closed-loop control-based defrosting solution improves the controllability and reliability of the defrost process.

[0109] In one embodiment, S300, controlling the heating device to heat the air-conditioning fins according to the target deformation parameters so that the air-conditioning fins are deformed to achieve defrosting, the method further includes: S303, when the change in the environmental parameters is greater than the preset change, adjusting the control parameters of the heating device accordingly.

[0110] In this embodiment, the environmental parameters include ambient temperature and ambient humidity. S303: When the change in the environmental parameters is greater than the preset change, the control parameters of the heating device are adjusted accordingly, specifically including: monitoring the changes in the ambient temperature and ambient humidity of the air conditioner fins;

[0111] When the change in ambient temperature is greater than a first preset change, a first parameter adjustment strategy is executed: for example, if the ambient temperature rises by more than 3°C / 5 minutes, the heating power of the heating device is reduced by 15%-20%, and the heating time is shortened by 2-3 minutes; if the ambient temperature drops by more than 3°C / 5 minutes, the heating power of the heating device is increased by 20%-25%, and the heating time is extended by 3-4 minutes;

[0112] When the change in ambient humidity exceeds a second predetermined change, the second parameter adjustment strategy is executed. For example, if the relative humidity changes by more than 10% within 5 minutes, the heating duration of the heating device is adjusted accordingly. When the ambient humidity increases by more than 10% per 5 minutes, the heating duration is extended (for example, from 3 minutes to 4-5 minutes); when the ambient humidity decreases by more than 10% per 5 minutes, the heating duration is shortened (for example, from 3 minutes to 2 minutes).

[0113] In a specific embodiment, by real-time monitoring of the changing trends of environmental parameters, the control strategy of the heating device is intelligently adjusted to ensure the stability of the defrosting effect.

[0114] The monitoring of environmental parameters mainly includes the following aspects:

[0115] Temperature change monitoring: A PT100 temperature sensor is used to continuously monitor ambient temperature changes. A temperature rise of more than 3°C within 5 minutes is considered a significant temperature rise; a temperature drop of more than 3°C within 5 minutes is considered a significant temperature drop.

[0116] Humidity change monitoring: HIH-4000 series humidity sensors are used to monitor changes in ambient humidity. Significant humidity changes are identified when the ambient humidity increases by more than 10% per 5 minutes or decreases by more than 10% per 5 minutes.

[0117] According to the changes in different environmental parameters, adopt corresponding control parameter adjustment strategies:

[0118] When the ambient temperature rises significantly, reduce the heating power by 15-20% and shorten the heating time by 2-3 minutes. A higher ambient temperature helps the frost layer to melt naturally, so the defrosting intensity can be appropriately reduced.

[0119] When the ambient temperature drops significantly, increase the heating power by 20-25% and extend the heating time by 3-4 minutes. Lower ambient temperatures help frost formation, so the defrosting intensity can be appropriately increased.

[0120] When the ambient humidity changes significantly, the heating duration is primarily adjusted. For example, when humidity rises, the heating duration is extended to prevent frost from quickly re-forming. Conversely, when humidity drops, the heating duration is shortened to save energy. This embodiment dynamically adjusts control parameters in real-time response to changes in environmental parameters, ensuring optimal defrosting performance under varying environmental conditions.

[0121] Figure 8 A schematic block diagram of an air conditioner fin defrosting device provided by an embodiment of the present invention; Figure 9 Schematic block diagram of an air conditioner provided by an embodiment of the present invention. Figure 8 As shown, corresponding to the above air conditioner fin defrosting method, an embodiment of the present invention further provides an air conditioner fin defrosting device 500, which is deployed in Figure 9 In the air conditioner 600 shown, the air conditioner fins of the air conditioner 600 have a shape memory function, and the air conditioner fin defrosting device 500 includes: a defrost judgment unit 501, used to judge whether the air conditioner fins need to be defrosted; a target deformation parameter determination unit 502, used to determine the target deformation parameters of the air conditioner fins when defrosting is required; a deformation control unit 503, used to control the heating device to heat the air conditioner fins according to the target deformation parameters, so that the air conditioner fins are deformed to achieve defrosting; a monitoring control unit 504, used to monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved.

[0122] In this embodiment, the defrost determination unit 501 collects environmental parameters to comprehensively determine whether the defrost process needs to be initiated. This determination process relies primarily on the collaborative work of a temperature sensor and a humidity sensor. The temperature sensor monitors changes in ambient temperature in real time, while the humidity sensor continuously tracks changes in ambient humidity. Together, these two sensors accurately identify environmental conditions that may lead to frost formation. When these conditions persist for a period of time, indicating that frost has accumulated to a certain level, a defrost operation is determined to be necessary.

[0123] When defrosting is determined to be necessary, target deformation parameter determination unit 502 determines target deformation parameters for the air conditioner fins based on the current frost layer state. These target deformation parameters include the desired deformation amount and deformation rate for the air conditioner fins, which directly impact the defrosting effect and efficiency. The target deformation parameter determination process comprehensively considers factors such as frost layer thickness and hardness.

[0124] After determining the target deformation parameters, the deformation control unit 503 controls the operation of the heating device based on these parameters. The heating device can be an electric heater or other heating element. By adjusting the heating power and duration, the air conditioner fins produce the desired deformation. During the heating process, the air conditioner fins gradually transform from their initial state to a preset curved or corrugated shape. This deformation effectively destroys and removes frost.

[0125] During the defrost process, the monitoring control unit 504 continuously monitors the defrost effect. This monitoring includes the actual deformation of the air conditioner fins, the deformation rate, and the shedding of the frost layer. Based on the monitoring results, the control parameters of the heating device, such as heating power and heating time, can be adjusted in real time to ensure that the defrost process remains optimal. This dynamic adjustment mechanism continues until the desired defrost effect is achieved.

[0126] These functional units exchange data and work together to form a complete defrost system. This system adaptively adjusts control parameters based on environmental changes and defrosting requirements, achieving efficient and energy-saving defrosting. This defrost system, based on the shape memory function and intelligent control of air conditioner fins, offers the following advantages over traditional defrosting methods: It utilizes the shape memory effect for active defrosting without changing the refrigerant flow direction; and it ensures effective defrosting through parameter control, avoiding energy waste caused by excessive heating.

[0127] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned air-conditioning fin defrosting device 500 and each unit can refer to the corresponding description in the aforementioned method embodiment. For the convenience and brevity of the description, it will not be repeated here.

[0128] like Figure 9 As shown, Figure 9This is a schematic block diagram of an air conditioner provided by an embodiment of the present invention. The air conditioner 600 includes a processor 602 , a memory, and a network interface 605 connected via a system bus 601 , wherein the memory may include a non-volatile storage medium 603 and an internal memory 604 .

[0129] The non-volatile storage medium 603 can store an operating system 6031 and a computer program 6032. The computer program 6032 includes program instructions, which, when executed, can cause the processor 602 to execute a method for defrosting air conditioner fins.

[0130] The processor 602 is used to provide computing and control capabilities to support the operation of the entire air conditioner 600.

[0131] The internal memory 604 provides an environment for the operation of the computer program 6032 in the non-volatile storage medium 603. When the computer program 6032 is executed by the processor 602, the processor 602 can execute a method for defrosting air conditioner fins.

[0132] The network interface 605 is used to communicate with other devices over the network. Figure 9 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention, and does not constitute a limitation on the air conditioner 600 to which the solution of the present invention is applied. The specific air conditioner 600 may include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0133] The processor 602 is configured to execute a computer program 6032 stored in the memory to implement the following steps:

[0134] Determine whether the air conditioner fins need to be defrosted;

[0135] When defrosting is required, the target deformation parameters of the air conditioner fins are determined;

[0136] Controlling the heating device to heat the air conditioner fins according to the target deformation parameter, so that the air conditioner fins are deformed to achieve defrosting;

[0137] Monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved.

[0138] In one embodiment, the processor 602 implements the following steps when determining whether the air conditioner fins need to be defrosted:

[0139] Monitor the ambient temperature and humidity of the air conditioning fins;

[0140] When the ambient temperature is lower than a preset temperature threshold and the ambient humidity is higher than a preset humidity threshold for a period of time exceeding a preset time, it is determined that defrosting is required.

[0141] In one embodiment, the processor 602 implements the following steps when determining the target deformation parameter of the air conditioner fin:

[0142] Obtain target frost layer characteristic parameters of air conditioner fins;

[0143] The target deformation amount and target deformation rate corresponding to the target frost layer characteristic parameters are determined according to the preset corresponding relationship between the frost layer characteristic parameters and the deformation parameters.

[0144] In one embodiment, the processor 602 implements the following steps when obtaining the target frost layer characteristic parameters of the air conditioner fins:

[0145] The frost layer thickness parameter is obtained according to the pressure exerted by the frost layer on the surface of the air conditioner fin;

[0146] The frost layer hardness parameter is obtained according to the frost layer thickness parameter, the ambient temperature of the air conditioner fin and the frost layer formation time.

[0147] In one embodiment, when the processor 602 controls the heating device to heat the air conditioner fins according to the target deformation parameter so as to deform the air conditioner fins to achieve defrosting, the processor 602 specifically implements the following steps:

[0148] Determine the heating power and heating time of the heating device according to the target deformation parameters;

[0149] The heating device is controlled to heat the air conditioner fins according to the heating power within the heating time, so that the air conditioner fins are deformed to achieve defrosting.

[0150] In one embodiment, the processor 602 implements the following steps when monitoring the defrosting effect and dynamically adjusting the control parameters of the heating device according to the monitoring result until the preset defrosting effect is achieved:

[0151] Perform the following steps according to the preset sampling time interval:

[0152] Obtain the actual deformation amount and actual deformation rate of the air conditioner fins;

[0153] Calculating a first deviation between the actual deformation amount and the target deformation amount, and a second deviation between the actual deformation rate and the target deformation rate;

[0154] When the first deviation value exceeds the first preset range or the second deviation value exceeds the second preset range, the heating power and / or heating time of the heating device are adjusted accordingly;

[0155] Determine whether the defrost completion condition is met. When the defrost completion condition is met, stop heating by the heating device and control the shape of the air conditioner fins to return to the initial state.

[0156] In one embodiment, after controlling the heating device to heat the air conditioner fins according to the target deformation parameter to cause the air conditioner fins to deform for defrosting, the processor 602 further implements the following steps:

[0157] When the change in the environmental parameter is greater than the preset change, the control parameter of the heating device is adjusted accordingly.

[0158] It should be understood that in the embodiment of the present invention, the processor 602 may be a central processing unit (CPU), and the processor 602 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.

[0159] Those skilled in the art will appreciate that all or part of the steps in the method of the above-described embodiment can be implemented by instructing the relevant hardware through a computer program. The computer program includes program instructions, which can be stored in a storage medium that is computer-readable. The program instructions are executed by at least one processor in the computer system to implement the steps in the method of the above-described embodiment.

[0160] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor performs the following steps:

[0161] Determine whether the air conditioner fins need to be defrosted;

[0162] When defrosting is required, the target deformation parameters of the air conditioner fins are determined;

[0163] Controlling the heating device to heat the air conditioner fins according to the target deformation parameter, so that the air conditioner fins are deformed to achieve defrosting;

[0164] Monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved.

[0165] The above storage medium can be any computer-readable storage medium that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk.

[0166] 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, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. 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 to be beyond the scope of the present invention.

[0167] In the several embodiments provided herein, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the various units is merely a functional division, and actual implementation may employ other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be omitted or not implemented.

[0168] The steps in the methods of the embodiments of the present invention may be adjusted in order, combined, or deleted as needed. The units in the devices of the embodiments of the present invention may be combined, divided, or deleted as needed. Furthermore, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0169] If this integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the existing technology, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, terminal, or network device, etc.) to execute all or part of the steps of the method described in various embodiments of the present invention.

[0170] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A method for defrosting air conditioner fins, characterized in that: The method is applied to an air conditioner, wherein the air conditioner fins of the air conditioner have a shape memory function, and the method comprises: Determining whether the air conditioner fins need to be defrosted; When defrosting is required, determining a target deformation parameter of the air conditioner fin; controlling a heating device to heat the air conditioner fins according to the target deformation parameter, so that the air conditioner fins are deformed to achieve defrosting; Monitoring the defrosting effect and dynamically adjusting the control parameters of the heating device according to the monitoring results until the preset defrosting effect is achieved; The target deformation parameters include a target deformation amount and a target deformation rate; and determining the target deformation parameters of the air conditioner fin includes: Obtaining target frost layer characteristic parameters of the air conditioner fin; The target deformation amount and the target deformation rate corresponding to the target frost layer characteristic parameter are determined according to a preset correspondence between the frost layer characteristic parameter and the deformation parameter.

2. The method according to claim 1, characterized in that The determining whether the air conditioner fins need to be defrosted includes: monitoring the ambient temperature and humidity of the air conditioning fins; When the ambient temperature is lower than a preset temperature threshold and the ambient humidity is higher than a preset humidity threshold for a period of time exceeding a preset time, it is determined that defrosting is required.

3. The method according to claim 1, characterized in that The target frost layer characteristic parameters include a frost layer thickness parameter and a frost layer hardness parameter; the step of obtaining the target frost layer characteristic parameters of the air conditioner fin includes: Obtaining the frost layer thickness parameter according to the pressure exerted by the frost layer on the surface of the air conditioner fin; The frost layer hardness parameter is obtained according to the frost layer thickness parameter, the ambient temperature of the air conditioner fin and the frost layer formation time.

4. The method according to claim 1, wherein The step of controlling the heating device to heat the air conditioner fins according to the target deformation parameter so as to deform the air conditioner fins to achieve defrosting includes: determining the heating power and heating time of the heating device according to the target deformation parameter; The heating device is controlled to heat the air-conditioning fins according to the heating power within the heating time, so that the air-conditioning fins are deformed to achieve defrosting.

5. The method according to claim 3, characterized in that The monitoring of the defrosting effect and dynamically adjusting the control parameters of the heating device according to the monitoring result until the preset defrosting effect is achieved includes: Perform the following steps according to the preset sampling time interval: Obtaining an actual deformation amount and an actual deformation rate of the air conditioner fin; Calculating a first deviation between the actual deformation and the target deformation, and a second deviation between the actual deformation rate and the target deformation rate; When the first deviation value exceeds a first preset range or the second deviation value exceeds a second preset range, the heating power and / or heating time of the heating device are adjusted accordingly; It is determined whether a defrosting completion condition is met. When the defrosting completion condition is met, the heating of the heating device is stopped, and the shape of the air conditioner fin is controlled to return to an initial state.

6. The method according to claim 1, characterized in that After controlling the heating device to heat the air conditioner fins according to the target deformation parameter so as to deform the air conditioner fins to achieve defrosting, the method further includes: When the change in the environmental parameter is greater than a preset change, the control parameter of the heating device is adjusted accordingly.

7. An air conditioner fin defrosting device, characterized in that: The air conditioner fin defrosting device is deployed in an air conditioner, the air conditioner fins of the air conditioner have a shape memory function, and the air conditioner fin defrosting device includes: a defrost judging unit, configured to judge whether the air conditioner fins need to be defrosted; a target deformation parameter determining unit, configured to determine a target deformation parameter of the air conditioner fin when defrosting is required; a deformation control unit, configured to control a heating device to heat the air-conditioning fins according to the target deformation parameter, so as to deform the air-conditioning fins to achieve defrosting; A monitoring control unit, configured to monitor the defrosting effect and dynamically adjust the control parameters of the heating device according to the monitoring results until a preset defrosting effect is achieved; The target deformation parameters include a target deformation amount and a target deformation rate; and determining the target deformation parameters of the air conditioner fin includes: Obtaining target frost layer characteristic parameters of the air conditioner fin; The target deformation amount and the target deformation rate corresponding to the target frost layer characteristic parameter are determined according to a preset correspondence between the frost layer characteristic parameter and the deformation parameter.

8. An air conditioner comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the air conditioner fin defrosting method according to any one of claims 1 to 6 is implemented.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the air conditioner fin defrosting method according to any one of claims 1 to 6.

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