An air conditioner frosting control method and device, computer equipment and storage medium

Abstract

The application provides a kind of air conditioner frosting control method, device, computer equipment and storage medium, the method comprises: obtaining outdoor environment parameter and the system parameter of outdoor unit;Wherein, the outdoor environment parameter is obtained by weather forecast data;Based on the outdoor environment parameter and the system parameter, the frosting probability when outdoor unit future setting time runs is predicted;According to the frosting probability, the frosting risk level is judged, and the outdoor unit is prevented frost control by adopting hierarchical control strategy.This application can accurately predict the frosting probability of future setting time in advance by the outdoor environment parameter obtained by weather forecast and the real-time system parameter of outdoor unit, realizes the early prevention and control of frosting risk and the effective inhibition of frost layer generation;And through the hierarchical control strategy based on risk level, the dynamic balance of frost prevention effect and operating energy consumption is realized, the heating interruption and energy waste caused by defrosting are avoided, which is beneficial to create efficient and energy-saving air conditioning products.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more specifically to an air conditioning frost control method, device, computer equipment, and storage medium. Background Technology

[0002] Air source heat pump air conditioners, with their convenient installation, excellent energy efficiency, and wide applicability, have become one of the core devices for winter heating in residential buildings. In low-temperature and high-humidity winter environments, when the air conditioner is in heating mode, the outdoor unit's heat exchanger, acting as the system's evaporator, easily experiences a surface temperature below the air dew point. When the evaporator surface temperature further drops below 0°C, water vapor in the air condenses and freezes on the heat exchanger surface, or directly sublimates to form frost. This frost significantly increases the heat transfer resistance of the heat exchanger and the airflow resistance, drastically reducing the system's heat exchange efficiency and increasing the unit's energy consumption. In severe cases, it can even cause compressor liquid return and system high-pressure protection shutdowns, not only shortening the unit's lifespan but also interrupting indoor heating output, and even resulting in the indoor unit blowing cold air, severely impacting the user's heating experience.

[0003] Currently, the industry's control solutions for the frosting problem of outdoor units of air conditioners mainly rely on real-time frosting detection and passive defrosting strategies. These strategies suffer from problems such as slow response and high energy consumption. In addition, existing control systems mostly only consider single environmental parameters, such as current ambient temperature or humidity, lacking dynamic fusion of multi-source data and failing to consider the impact of future weather changes and real-time operating status data of the air conditioner system. This makes it difficult to predict the risk of frosting in advance and accurately in the future, and thus cannot effectively suppress the formation of frost.

[0004] Therefore, there is an urgent need for an air conditioning frost control solution that is energy-saving, accurate in prediction, and can achieve effective frost prevention. Summary of the Invention

[0005] The purpose of this invention is to overcome the defects of the prior art and provide an air conditioner frost control method, device, computer equipment and storage medium to solve the technical problems of high energy consumption, inaccurate prediction and poor anti-frost effect in the existing air conditioner frost control technology.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides an air conditioner frosting control method, the method being applied to an air conditioner in heating mode, the method comprising: S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data; S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future; S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost. S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

[0007] Secondly, the present invention provides an air conditioner frosting control device, including a module for performing the above-described air conditioner frosting control method.

[0008] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the above-mentioned air conditioner frost control method.

[0009] Fourthly, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the above-described air conditioner frosting control method.

[0010] The beneficial effects of this invention compared with the prior art are as follows: This invention can accurately predict the probability of frost formation at a future set time by using outdoor environmental parameters obtained from weather forecasts and real-time system parameters of the outdoor unit, thus achieving early prevention and control of frost risk and effective suppression of frost formation; and through a hierarchical control strategy based on risk level, it achieves a dynamic balance between anti-frost effect and operating energy consumption, avoiding heating interruption and energy waste caused by defrosting, which is conducive to creating highly efficient and energy-saving air conditioning products.

[0011] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other objects, features and advantages of the present invention more obvious and understandable, preferred embodiments are described in detail below. Attached Figure Description

[0012] Figure 1 This is a flowchart illustrating an air conditioner frosting control method according to an embodiment of the present invention; Figure 2 yes Figure 1 A schematic diagram of a specific implementation method for step S20; Figure 3 yes Figure 2 A flowchart illustrating a specific implementation of step S23; Figure 4 yes Figure 3 A flowchart illustrating a specific implementation of step S234; Figure 5 yes Figure 1 A schematic diagram of a specific implementation method for step S30; Figure 6 yes Figure 1 Another flowchart illustrating a specific implementation of step S30; Figure 7 yes Figure 1 Another flowchart illustrating a specific implementation of step S30; Figure 8 This is a schematic diagram of an air conditioner frosting control device according to an embodiment of the present invention; Figure 9 This is a schematic diagram of the structure of a computer device according to an embodiment of the present invention; Figure 10 This is another structural schematic diagram of a computer device according to one embodiment of the present invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The technical solutions in the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0014] It should be understood that, when used in this specification and the appended claims, the terms “comprising” and “including” indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0015] 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 invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0016] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0017] This embodiment discloses an air conditioner frosting control method, which is applied to an air conditioner with an outdoor unit, the outdoor unit being equipped with an evaporator, a fan and an expansion valve; specifically, the air conditioner frosting control method of this embodiment is applied to the heating mode of the air conditioner.

[0018] Please see Figure 1As shown, Figure 1 This is a schematic flowchart illustrating an air conditioner frosting control method provided in an embodiment of the present invention. The air conditioner frosting control method includes the following steps S10-S40.

[0019] S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data.

[0020] In this embodiment, when the air conditioner starts heating mode, i.e., operates in heating condition, the frosting control process is automatically started and this step is executed. When the air conditioner exits heating condition or is turned off, the process is automatically terminated.

[0021] Understandably, in this embodiment, outdoor environmental parameters are obtained based on weather forecast data, collecting outdoor environmental parameters for the current time period and a future set time period, while the outdoor unit's system parameters are obtained at a set frequency. The future set time is preferably the next 2 hours, and the set frequency is preferably 10 minutes, that is, the outdoor unit's system parameters are obtained every 10 minutes.

[0022] The outdoor environmental parameters include outdoor temperature, outdoor humidity, and outdoor wind speed. The system parameters include evaporator outlet temperature, refrigerant evaporation temperature, fan speed, and expansion valve opening. It is understood that an environmental temperature sensor can be installed in the outdoor unit to collect the evaporator outlet temperature and refrigerant evaporation temperature, while the fan speed and expansion valve opening can be collected through the air conditioner's control system. It is also understood that in other embodiments, the surface temperature of other parts of the evaporator can be collected instead of the outlet temperature. However, the evaporator outlet temperature is the preferred evaporator surface temperature. When the air conditioner is operating in heating mode, the evaporator outlet temperature is the lowest temperature point of the entire evaporator. Therefore, as long as frost does not form at the outlet, there is no risk of frost formation on the entire evaporator, thus greatly simplifying the calculation complexity of the overall temperature field.

[0023] As mentioned above, step S10 collects the multi-source data required for frost prediction, covering both forward-looking data on future weather changes and real-time operating status data of air conditioners. This solves the problem that existing technologies only consider a single environmental parameter and lack sufficient data dimensions, providing reliable data support for accurate prediction of subsequent frost risk.

[0024] S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future.

[0025] In practical applications, taking a future time of 2 hours as an example, the probability of frost formation on the air conditioning system in the next 2 hours is calculated. Preferably, the frost probability is updated and calculated every hour. When the time advances to the first future hour that has been calculated, the frost probability of the newly added 1-hour period is calculated simultaneously.

[0026] Specifically, in step S20, this embodiment first calculates the basic boundary conditions for frost formation through thermodynamic calculations and dynamic model construction. Then, through risk assessment and probability quantification calculations, it achieves a quantitative prediction of the probability of frost formation in future periods, thus completing the transformation from basic parameters to frost probability. Furthermore, the advance prediction of the probability of frost formation on the outdoor unit of the air conditioner in future periods solves the problem of traditional frost control relying on real-time detection and experiencing response lag. Through forward-looking probability prediction, it provides a decision-making basis for subsequent tiered preventative control.

[0027] In some embodiments of the present invention, such as Figure 2 As shown, a specific prediction scheme is provided. In S20, based on the outdoor environmental parameters and the system parameters, the probability of frost formation when the outdoor unit runs at a set time in the future is predicted, which specifically includes the following steps S21-S23.

[0028] S21: Calculate the outdoor dew point temperature based on the outdoor temperature and outdoor humidity.

[0029] Understandably, based on thermodynamics, frost formation occurs in two scenarios: First, when the evaporator surface temperature (in this embodiment, the evaporator outlet temperature represents the evaporator surface temperature) is lower than the outdoor dew point temperature, and the outdoor dew point temperature is below 0°C, water vapor in the air will condense and then freeze into frost. Second, when the evaporator surface temperature is below 0°C, even if the outdoor dew point temperature is above 0°C, water vapor will directly sublimate into frost on the surface. Therefore, the critical condition for frost formation is: the evaporator outlet temperature is lower than the smaller of the outdoor dew point temperature and 0°C.

[0030] The outdoor dew point temperature can be calculated using the Magnus formula. Specifically, the formula for calculating the outdoor dew point temperature is as follows: ; in, T represents the outdoor dew point temperature at time t. and RH Let a and b represent the outdoor temperature and humidity at time t, respectively, where a and b are constants.

[0031] Preferably, the constant 'a' in the formula is 17.625, and the constant 'b' is 243.04. When the calculated outdoor dew point temperature at time t... When the value is less than 0, it can be determined that there is a risk of frost formation at that moment.

[0032] S22: Calculate the temperature at the evaporator outlet of the outdoor unit within a future set time based on outdoor environmental parameters and outdoor unit system parameters.

[0033] For step S22, the temperature at the evaporator outlet of the outdoor unit within a future set time is calculated to compare with the outdoor dew point temperature within the future set time, thereby accurately locking the future probability of frost and / or the start time of frost, realizing the early prediction of frost risk.

[0034] In a further embodiment, the temperature at the evaporator outlet of the outdoor unit within the set future time period is calculated by a dynamic differential equation relating the outdoor environment and the evaporator; the dynamic differential equation is: ; Where t+τ is a future set time, representing the future time t+τ; This represents the temperature at the evaporator outlet at time t+τ in the future. The value at time t represents the temperature at the evaporator outlet, which can be obtained from the ambient temperature sensor in the outdoor unit; ρ is the air density (usually taken as 1.2 kg / m³). 3 ), This is the cross-sectional area of ​​the outdoor unit's fan blades, which is set at the factory when the air conditioner leaves the factory. This represents the surface wind speed of the evaporator at a future time t+τ; The specific heat capacity of air (usually taken as 1005 J / kg·K); This represents the outdoor temperature at the future time t+τ, obtained from weather forecast data; m and n are convective heat transfer coefficient constants, typically m=10 and n=7.5; Ae represents the evaporator area, which is set at the factory; the formula for calculating the surface wind speed of the evaporator at the future time t+τ is: ; k is the fan blade air volume coefficient, usually taken as 0.5; r(t+ ) represents the rotational speed of the fan blade at the future time t+τ. If the fan blade speed is not adjusted, it will remain at the original speed at time t. If the fan blade speed is adjusted, the speed value needs to be updated.

[0035] As described above, step S22 constructs a dynamic differential equation model of the evaporator surface temperature based on the theory of convective heat transfer and the dynamic heat transfer characteristics of the evaporator. Combining the currently measured evaporator outlet temperature, future environmental parameters, and fan operating parameters, it quantitatively predicts the temperature change at the evaporator outlet over a set time in the future, clarifies the critical temperature boundary for frosting on the evaporator side, and solves the problem that existing technologies can only monitor the real-time evaporator temperature and cannot predict temperature changes in advance. This provides a quantitative indicator for the accurate determination of subsequent frosting risks.

[0036] S23: Based on the outdoor dew point temperature and the evaporator outlet temperature, determine the frost start time and calculate the frost probability based on the time difference between the current time and the frost start time.

[0037] Specifically, for step S23, this embodiment first calculates the frost risk value for each time period from the current time to a future set time. When a time period with frost risk is detected, the time period is further subdivided and solved to determine the frost start time, and finally the quantification calculation of the frost probability is completed. After each calculation of the frost risk value, if there is a case where F(t)>0, it indicates that the air conditioning system has a risk of frost in the corresponding time period, and the subsequent subdivision and frost probability calculation steps are executed. Otherwise, it indicates that there is no frost risk, and the process can continue until the current time is rounded down +1, and then return to the calculation steps of outdoor dew point temperature and evaporator outlet temperature to continue calculating the frost risk value.

[0038] Understandably, by quantifying the risk of frost formation from its presence or absence to its occurrence time and probability, the severity of the risk can be clearly defined, and the time window for the risk to occur can be determined, providing a basis for decision-making regarding the triggering of subsequent tiered control strategies.

[0039] In some embodiments of the present invention, such as Figure 3 As shown, a specific scheme for calculating the probability of frost formation is provided. In S23, the frost start time is determined based on the outdoor dew point temperature and the evaporator outlet temperature, and the frost probability is calculated based on the time difference between the current time and the frost start time. Specifically, it includes the following steps S231-S233.

[0040] S231: Construct a frosting risk function based on the preset frosting critical conditions.

[0041] The above analysis shows that the critical condition for frosting is: the temperature at the evaporator outlet is lower than the smaller of the outdoor dew point temperature and 0°C. Therefore, the frosting risk function is: When the evaporator surface temperature is lower than the smaller of the outdoor dew point temperature and 0°C, F(t) = 1, indicating that there is a risk of frost formation at time t; otherwise, F(t) = 0, indicating that there is no risk of frost formation at time t.

[0042] S232: Based on the aforementioned frost risk function, calculate the frost risk from the current... From Moment to the Future Frost risk value at any time .

[0043] From the above frost risk function, we can obtain that the current From Moment to the Future The expression for the frost risk value within a given time period is: ;in, Indicates to Round down to the nearest integer.

[0044] In this embodiment, with For example, =2, that is, the current From Moment to the Future Taking a specific moment as an example, this section explains the calculation of frost risk value and frost probability. From the current... From Moment to the Future At time 15:20, the frost risk value of the air conditioning system is always calculated for the next 2 hours. The calculation is performed once every hour. For example, if the air conditioner is started and running continuously at 15:20, the frost risk value at 15:20 is calculated first, and the frost risk values ​​at 16:00 and 17:00 are calculated simultaneously. When time t reaches 16:00, the calculated value at 17:00 is updated, and the frost risk value at 18:00 is calculated simultaneously.

[0045] For step S232, using the frost risk function as the criterion, the current... From Moment to the Future The system calculates the frost risk value point by point throughout the entire time period. By assigning risk values ​​for different time periods, it completes a scanning judgment of the frost risk for the entire future time period, clarifies the time interval in which there is a risk of frost in the future, and defines the target range for locating the start time of subsequent frost.

[0046] S233: Detect current From Moment to the Future If there is a period in the frost risk value within a given time period where F(t) > 0, then there is a frost risk in that period; otherwise, there is no frost risk.

[0047] For step S233, after completing the detection of the frost risk value for the entire time period, if there is no time period where F(t)>0, that is, the frost risk value is 0 at all times, it is determined that there is no frost risk in the future set time. The air conditioner can continue to run until the current time is rounded down +1, and then return to the calculation steps of outdoor dew point temperature and evaporator outlet temperature to recalculate the frost risk value; if there is a time period where F(t)>0, then proceed to the subsequent step of subdividing the frost start time solution.

[0048] S234: Subdivide the time periods with frost risk to determine the frost start time and the relationship between the frost start time and the current time. The time difference is used to calculate the frost probability based on the frost rate coefficient and the time difference.

[0049] Specifically, in this step, we first determine the interval in which the frost begins. If the risk calculation value F(t) at time t is 1 and t-1 is greater than the current time t0, then the frost begins between time t-1 and time t. Otherwise, the frost begins between time t0 and time t. We then further subdivide the corresponding interval to determine the precise frost start time.

[0050] That is, by narrowing the solution range for the start time of frost by interval positioning, and then by further subdividing the solution by time period discretization, the specific moment when frost begins can be accurately located. Then, the time window for risk warning can be calculated. Finally, by combining the frost cumulative effect model, the probability of frost occurrence can be quantified, which makes it easier to clarify the urgency and probability of frost risk.

[0051] In some embodiments of the present invention, such as Figure 4 As shown, a specific time difference and frost probability calculation scheme is provided. In S234, the time period with frost risk is subdivided and solved to determine the frost start time and the relationship between the frost start time and the current time. The time difference between the two points is used to calculate the frosting probability based on the frosting rate coefficient and the time difference, specifically including the following steps S2341-S2342.

[0052] S2341: Discretize the time periods with a preset time step to identify the period at which frost is likely to form. Calculate the outdoor dew point temperature and the evaporator outlet temperature segment by segment. Record the moment when F(t) first equals 1 as the start of frost formation. .

[0053] Understandably, to accurately assess the evaporator's frosting risk level, it is necessary to obtain the time difference from the current time t0 to the actual frosting start time t1. Since the frosting start time... The frost may not necessarily occur at a specific hour in the future, so the exact start time of frost needs to be calculated. Therefore, in this embodiment, the preset time step is 10 minutes. When discretizing the time period with a risk of frost, the corresponding 1-hour period is divided into 6 sub-periods of 10 minutes each. Starting from the beginning of the interval, the outdoor dew point temperature T is calculated every 10 minutes. d Meanwhile, setting τ=10 / 60, the relevant parameters are substituted into the dynamic differential equation to calculate the evaporator outlet temperature T for the corresponding sub-period. s .

[0054] Specifically, if the frost-forming start interval is from t-1 to t, then the time period from time t-1 to time t is discretely calculated. Based on weather forecast data, the outdoor dew point temperature T is calculated every 10 minutes starting from time t-1. d For the evaporator outlet temperature T s The calculation is performed by setting τ = 10 / 60, substituting the relevant parameters into the dynamic differential equation, and calculating T. s Given the value of (t+τ), set t to the value of t+τ, and calculate T after the next 10 minutes. s The values ​​were calculated in this way, and a total of 6 10-minute evaporator outlet temperatures were obtained.

[0055] If the frost-forming start interval is from t0 to t, then the time period from t0 to t is discrete. Based on weather forecast data, the outdoor dew point temperature T is calculated every 10 minutes starting from t0. d For the evaporator outlet temperature T s The calculation is performed by setting τ = 10 / 60, substituting the relevant parameters into the dynamic differential equation, and calculating T. s The (t+τ) value is then updated, and the t value is updated to the t+τ value. The T value is then calculated after the next 10 minutes. s The values ​​were calculated in this way, and a total of 6 surface temperatures at the evaporator outlet were obtained over 10 minutes.

[0056] After completing the parameter calculations for the six 10-minute sub-periods in sequence, each set of data is substituted into the frost risk function to determine the moment when F(t) = 1 for the first time.

[0057] Understandably, step S2341 improves the accuracy of the frost start time calculation from the hour level to the minute level, achieving precise positioning of the critical moment of frost formation. This solves the problems of insufficient accuracy in predicting frost risk and inaccurate control of the timing of regulation in the existing technology, and provides a high-precision time reference for the subsequent accurate calculation of frost probability and selection of the timing of regulation.

[0058] S2342: Calculate the current... Time until the start of frosting Time difference = - The probability of frost formation was calculated based on the cumulative frost effect and the frost rate coefficient. .

[0059] The formula for calculating the probability of frost formation is as follows: ; e is the base of the natural logarithm, The frost rate coefficient has a base value of h0 = 0.15, and is calculated using the formula h(t1) = h0[RH(t1) / 90%]. 1.2 .

[0060] Understandably, the probability of frost formation It will vary with the time difference t e As the temperature rises, the temperature gradually decreases. The earlier the risk of frost is detected, the earlier the air conditioner can be adjusted, reducing the difficulty of adjustment and thus reducing the probability of frost, thereby optimizing the anti-frost effect. The frost rate coefficient will be dynamically adjusted with the change of outdoor humidity at the time when frost begins. With an outdoor humidity of 90% as the benchmark, the higher the outdoor humidity, the larger the frost rate coefficient, and the higher the probability of frost under the same time difference.

[0061] As described above, step S2342, based on the cumulative effect of frost, combines the warning time with the frost rate coefficient dynamically adjusted by outdoor humidity to construct a quantitative calculation model for the probability of frost formation. This achieves dynamic quantification of the likelihood of frost occurrence. The time difference reflects the advance warning of risk, and the frost rate coefficient reflects the environmental impact of frost. The combination of these two factors achieves standardized quantification of risk levels, which is beneficial for reflecting the severity of frost risk. This solves the problems of existing technologies lacking quantitative basis for risk level classification and imprecise triggering of control strategies, providing a precise quantitative threshold basis for the subsequent implementation of hierarchical control strategies.

[0062] S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost.

[0063] Specifically, this embodiment divides the frost risk level into three levels: low, medium, and high, and implements different control strategies accordingly to achieve the anti-frost effect with minimal energy consumption. After the control strategy is executed, the system parameter values ​​of the air conditioning system are updated, and parameter collection and frost risk calculation are performed again according to a preset cycle to cyclically optimize the control parameters. In addition, the hierarchical response control logic can match control measures of different intensities to different risk levels. Specifically, energy consumption optimization is the main focus when the risk is low, the anti-frost effect and energy consumption are balanced when the risk is medium, and the anti-frost effect is prioritized when the risk is high. This solves the problem of traditional anti-frost control strategies being too simplistic and unable to balance the anti-frost effect and operating energy consumption. It achieves full-level coverage control of frost risk, avoids energy waste caused by excessive control, and ensures the continuity and stability of the air conditioner's heating operation.

[0064] In some embodiments of the present invention, such as Figure 5 As shown, a specific control scheme is provided. In S30, the frost risk level is determined based on the frost probability, and a hierarchical control strategy is adopted to control the outdoor unit against frost. Specifically, it includes the following steps S31-S32.

[0065] S31: When the frosting probability is... Less than the first preset threshold At that time, the risk level of frost formation was determined to be low.

[0066] In this embodiment, the first preset threshold The value is 0.3, when the probability of frost formation P f When the value is less than 0.3, the air conditioner's frost risk level is determined to be low. At this risk level, the probability of frost occurring is low, and there is no need to implement high-intensity anti-frost control measures. This avoids excessive control in low-risk scenarios and ensures the economic efficiency of air conditioner operation.

[0067] S32: Control the outdoor unit's fan speed to decrease according to the new fan speed calculation formula.

[0068] Understandably, a low frosting risk level indicates a low risk of frosting in the air conditioner. Energy consumption can be appropriately reduced by decreasing the fan speed without significantly altering the overall system's heat exchange efficiency. Specifically, reducing the fan speed decreases the airflow velocity over the evaporator surface, slowing down the refrigerant's heat absorption efficiency within the evaporator tubes. This, in turn, increases the evaporator's surface temperature, ensuring the evaporator outlet temperature exceeds the critical frosting temperature. This allows for low-energy anti-frosting control without altering the system's refrigerant circulation.

[0069] And the new speed of the fan The calculation formula is: In the process of adjusting the fan speed, a minimum wind speed threshold v needs to be set. min To prevent excessively low wind speeds from significantly reducing heat exchange efficiency, it is generally recommended that the heat exchange efficiency decrease by more than 15% when the surface wind speed of the evaporator is below 1 m / s. Therefore, a minimum wind speed threshold of v is set. min =1m / s, then the corresponding minimum speed r min The value can be calculated using the above formula for the surface wind speed of the evaporator at a future time t+τ. Please obtain.

[0070] Therefore, when the frost risk level is low, the formula for calculating the new fan speed is: ; in, Let t be the fan speed at time t. This refers to the set minimum speed of the fan. In practical applications, the calculation of the new fan speed must ensure that the final value is not lower than the minimum speed. .

[0071] As mentioned above, in low-frosting-risk scenarios, pre-emptive control of anti-frosting is achieved with minimal energy consumption. This effectively suppresses the tendency of frost formation, avoids a significant decrease in heat exchange efficiency and an excessive increase in energy consumption, and ensures the continuity of air conditioning heating operation, thereby improving the user experience.

[0072] In some embodiments of the present invention, such as Figure 6 As shown, a specific control scheme is provided. In S30, the frost risk level is determined based on the frost probability, and a hierarchical control strategy is adopted to control the outdoor unit against frost. Specifically, it also includes the following steps S33-S34.

[0073] S33: When the frosting probability is... Greater than or equal to the first preset threshold And less than the second preset threshold At that time, the risk level of frost formation was determined to be medium.

[0074] In this embodiment, the second preset threshold The value is 0.7. When 0.3≤Pf<0.7, the air conditioner frost risk level is determined to be medium. Under this risk level, the probability of frost occurrence is moderate. The anti-frost requirements are usually not met by adjusting the fan speed alone. It is necessary to implement multi-parameter coordinated control simultaneously.

[0075] S34: Control the outdoor unit's fan speed to decrease according to the new fan speed calculation formula, and increase the opening of the outdoor unit's expansion valve according to the new expansion valve opening value calculation formula.

[0076] Understandably, when the frosting risk level is medium, a dual-parameter coordinated control logic of fan speed and expansion valve opening is adopted. On the one hand, the temperature at the evaporator outlet is increased by reducing the fan speed; on the other hand, the refrigerant circulation flow is adjusted by increasing the expansion valve opening, thereby increasing the evaporation temperature of the evaporator. This dual-dimensional coordinated increase in evaporator surface temperature enhances the anti-frosting effect. At the same time, phased control avoids large fluctuations in heat exchange efficiency. This effectively suppresses the further expansion of the frosting risk and avoids the limitations of single-parameter control. It also ensures the stability of the air conditioner's heat exchange efficiency and heating effect, preventing a decline in heating effect from affecting the user experience.

[0077] To balance energy consumption and frost prevention, the fan speed needs to be adjusted in stages to avoid a rapid decrease that would reduce heat exchange efficiency. Specifically, when the frost risk level is medium, the formula for calculating the new fan speed is: In the formula, For the new fan speed, Let t be the fan speed at time t. This is the set minimum fan speed. Similar to lower-level control, it's necessary to ensure the new fan speed is maintained. It must not be lower than the minimum speed. .

[0078] By increasing the opening of the expansion valve to regulate the refrigerant flow, and simultaneously coordinating with fan speed control, a balance can be achieved between anti-frost performance and energy consumption. When the frosting risk level is medium, the formula for calculating the new opening value of the expansion valve is: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system, where, =4.

[0079] In some embodiments of the present invention, such as Figure 7As shown, a specific control scheme is provided. In S30, the frost risk level is determined based on the frost probability, and a hierarchical control strategy is adopted to control the outdoor unit against frost. Specifically, it also includes the following steps S35-S39.

[0080] S35: When the frosting probability is... Greater than the second preset threshold At that time, the risk level of frost formation was determined to be high.

[0081] Understandably, the likelihood of frost formation is high at this risk level, necessitating the activation of emergency anti-frost control measures to prioritize preventing damage to system performance from frost and ensuring the safe operation of the air conditioning system.

[0082] S36: Controls the outdoor unit's fan speed to reduce to the minimum speed. The opening degree of the outdoor unit's expansion valve is increased according to the formula for calculating the new opening degree of the expansion valve.

[0083] Specifically, the fan speed is first reduced to the minimum to maximize the surface temperature of the evaporator. At the same time, the refrigerant circulation is optimized by significantly adjusting the opening of the expansion valve, which further increases the evaporator evaporation temperature. This dual-dimensional approach maximizes the anti-frost effect and prioritizes the suppression of frost formation.

[0084] When the frost risk level is high, the formula for calculating the new opening degree of the expansion valve is as follows: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system, where, =4.

[0085] S37: Determine the calculated new opening degree of the expansion valve. Is it less than the maximum opening of the expansion valve?

[0086] In this embodiment, the maximum opening degree of the expansion valve is 100%, which is the calculated new opening degree of the expansion valve. Whether it is less than 100% is used to determine whether there is still room for further adjustment of the expansion valve, avoiding system failure caused by the expansion valve opening being adjusted beyond its range. Then, based on the judgment result, different subsequent control measures are implemented to ensure the effectiveness and safety of the control measures.

[0087] S38: If the expansion valve is newly opened If the opening degree is less than the maximum opening degree of the expansion valve, and the calculated frosting probability does not decrease after a preset adjustment time, then the electric heating function of the outdoor unit will be activated.

[0088] In this embodiment, the preset adjustment time is 10 minutes. If the expansion valve opening degree is less than 100%, the fan speed and expansion valve opening degree adjustment measures are executed first. After 10 minutes, the system parameters of the air conditioner are collected again, and the frosting probability P is updated and calculated. f If the probability of frost formation does not decrease, it means that simply adjusting the fan speed and expansion valve opening is not enough to meet the anti-frost requirements. It is necessary to activate the electric heating belt function of the air conditioner to raise the temperature of the outdoor unit and inhibit the formation of frost.

[0089] As can be seen, step S38 achieves progressive execution of control measures in high-frosting-risk scenarios. It first attempts to control the risk through basic low-energy control, and then starts high-energy electric heating auxiliary control when it fails. This not only ensures the effectiveness of emergency frost prevention, but also avoids unnecessary energy consumption increases to the greatest extent, and avoids system failures caused by frost formation.

[0090] S39: If the expansion valve is newly opened If the opening is greater than or equal to the maximum opening of the expansion valve, the opening of the expansion valve will remain unchanged, and the electric heating function of the outdoor unit will be activated.

[0091] Understandably, if the calculated new opening degree of the expansion valve... If the opening is ≥100%, the expansion valve opening will be maintained at its maximum opening of 100%, and the electric heating function of the air conditioner will be activated directly to raise the temperature inside the outdoor unit, prioritizing the anti-frost effect. In other words, for scenarios where the expansion valve has no adjustment margin, the basic control state of the expansion valve's maximum opening will be locked, and the electric heating auxiliary control will be activated. By actively raising the outdoor unit's ambient temperature, the critical temperature condition for frost formation will be disrupted, achieving the highest priority emergency anti-frost control and prioritizing the prevention of frost formation and damage to the system.

[0092] S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

[0093] Preferably, the update cycle is 10 minutes, meaning that the system parameters of the air conditioner and the outdoor environmental parameters are collected again every 10 minutes, and the entire process of frosting risk calculation, risk level determination, and anti-frost control is repeated. When the air conditioner exits heating mode or is turned off, the frosting control process automatically ends, and the cycle of this step stops. Furthermore, this embodiment achieves dynamic monitoring and closed-loop control of frosting risk throughout the entire heating cycle through a fixed-cycle cyclic execution mechanism. Based on the real-time changes in the air conditioner's operating status and environmental parameters, the frosting risk prediction results are continuously updated, and the control strategy is dynamically optimized, forming a complete closed-loop control from data collection to prediction to control. This ensures the real-time nature of frosting risk prediction and the dynamic adaptability of the control strategy, solving the problems of poor adaptability and inability to dynamically adjust to changes in the environment and system status of traditional control methods. It also ensures the stability of the air conditioner's heating operation, anti-frost effect, and energy economy, while avoiding the problems of hot air stagnation and cold air delivery caused by the start of the defrosting program, significantly improving user satisfaction.

[0094] As can be seen, in the above solution, the outdoor environmental parameters obtained through weather forecasts and the real-time system parameters of the outdoor unit can accurately predict the probability of frost formation at a set time in advance, thus achieving early prevention and control of frost risk and effective suppression of frost formation. Furthermore, through a hierarchical control strategy based on risk level, a dynamic balance between anti-frost effect and operating energy consumption is achieved, avoiding heating interruption and energy waste caused by defrosting, which is conducive to creating a highly efficient and energy-saving air conditioning product.

[0095] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0096] In one embodiment, the present invention provides an air conditioner frosting control device 100, which corresponds one-to-one with the air conditioner frosting control method described in the above embodiments. For example... Figure 8 As shown, the air conditioner frosting control device 100 includes a data acquisition module 101, a prediction module 102, a control module 103, and a circulation module 104. Detailed descriptions of each functional module are as follows: The acquisition module 101 is used to acquire outdoor environmental parameters and system parameters of the outdoor unit; wherein, the outdoor environmental parameters are acquired from weather forecast data.

[0097] The analysis module 102 is used to predict the probability of frost formation when the outdoor unit operates at a set time in the future, based on the outdoor environmental parameters and the system parameters.

[0098] The conversion module 103 is used to determine the frost risk level based on the frost probability and to use a hierarchical control strategy to control the outdoor unit against frost.

[0099] The processing module 104 is used to repeatedly start the acquisition module 101, the parsing module 102, and the conversion module 103 according to a preset update cycle until the air conditioner exits the heating mode.

[0100] The outdoor environmental parameters include outdoor temperature, outdoor humidity, and outdoor wind speed, while the system parameters include evaporator outlet temperature, refrigerant evaporation temperature, fan speed, and expansion valve opening.

[0101] In one embodiment, the parsing module 102 is specifically used for: Calculate the outdoor dew point temperature based on the outdoor temperature and outdoor humidity. Calculate the temperature at the evaporator outlet of the outdoor unit within a set timeframe based on outdoor environmental parameters and outdoor unit system parameters; Based on the outdoor dew point temperature and the evaporator outlet temperature, the frost start time is determined, and the frost probability is calculated based on the time difference between the current time and the frost start time.

[0102] The outdoor dew point temperature is calculated using the outdoor dew point temperature calculation formula, which is: ;in, T represents the outdoor dew point temperature at time t. and RH Let a and b represent the outdoor temperature and humidity at time t, respectively, where a and b are constants.

[0103] The temperature at the evaporator outlet of the outdoor unit within the specified future time period is calculated using a dynamic differential equation relating the outdoor environment and the evaporator. The dynamic differential equation is as follows: ; Where t+τ is a future set time, representing the future time t+τ; This represents the temperature at the evaporator outlet at time t+τ in the future. This represents the temperature at time t at the evaporator outlet, where ρ is the air density. This refers to the cross-sectional area of ​​the outdoor unit's fan blades. This represents the surface wind speed of the evaporator at the future time t+τ. The specific heat capacity of air, Let Ae represent the outdoor temperature at the future time t+τ obtained from weather forecast data, m and n be the convective heat transfer coefficient constants, and Ae represent the evaporator area; the formula for calculating the surface wind speed of the evaporator at the future time t+τ is: ; k is the air volume coefficient of the fan blade, r(t+ Let t be the rotational speed of the wind turbine blades at the future time t+τ.

[0104] The step of determining the frost start time based on the outdoor dew point temperature and the evaporator outlet temperature, and calculating the frost probability based on the time difference between the current moment and the frost start time, includes: Based on preset frosting critical conditions, a frosting risk function is constructed; wherein, the frosting risk function is: When the evaporator surface temperature is lower than the smaller of the outdoor dew point temperature and 0°C, F(t) = 1, indicating that there is a risk of frosting at time t; otherwise, F(t) = 0, indicating that there is no risk of frosting at time t. Based on the aforementioned frost risk function, calculate from the current... From Moment to the Future Frost risk value at any time The current From Moment to the Future The expression for the frost risk value within a given time period is: ;in, Indicates to Round down; Detect current From Moment to the Future If there is a period in the frost risk value within a given time period where F(t) > 0, then there is a frost risk in the corresponding period; otherwise, there is no frost risk. The calculation is performed in subdivided periods where there is a risk of frost to determine the start time of frost and the relationship between the start time of frost and the current time. The time difference is used to calculate the frost probability based on the frost rate coefficient and the time difference.

[0105] Specifically, the process involves subdividing the time periods at risk of frost formation to determine the frost start time and the relationship between the frost start time and the current time. The time difference between moments is used to calculate the frosting probability based on the frosting rate coefficient and the time difference, including: The time periods with a risk of frosting are discretized using a preset time step. The outdoor dew point temperature and the evaporator outlet temperature are calculated segment by segment. The moment when F(t) first equals 1 is recorded as the start of frosting. ; Calculate the current Time until the start of frosting Time difference = - The probability of frost formation was calculated based on the cumulative frost effect and the frost rate coefficient. ; The formula for calculating the probability of frost formation is as follows: ; e is the base of the natural logarithm, The frost rate coefficient has a base value of h0 = 0.15, and is calculated using the formula h(t1) = h0[RH(t1) / 90%]. 1.2 .

[0106] In one embodiment, the control module 103 is specifically used for: When the frosting probability Less than the first preset threshold At that time, the risk level of frost formation was determined to be low; The outdoor unit's fan speed is reduced according to the new fan speed calculation formula; When the frosting risk level is low, the formula for calculating the new fan speed is: ; Let t be the fan speed at time t. This is the set minimum speed for the fan.

[0107] In one embodiment, the control module 103 is further specifically used for: When the frosting probability Greater than or equal to the first preset threshold And less than the second preset threshold At that time, the risk level of frost formation was determined to be medium. The outdoor unit's fan speed is reduced according to the new fan speed calculation formula, and the outdoor unit's expansion valve opening is increased according to the new expansion valve opening value calculation formula. When the frost risk level is medium, the formula for calculating the new fan speed is: In the formula, Let t be the fan speed at time t. This is the set minimum fan speed; Wherein, when the frost risk level is medium, The calculation formula is: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system.

[0108] In one embodiment, the control module 103 is further specifically used for: When the frosting probability Greater than the second preset threshold At that time, the risk level of frost formation was determined to be high; Control the outdoor unit's fan speed to reduce to the minimum speed. The opening degree of the outdoor unit's expansion valve is increased according to the formula for calculating the new opening degree of the expansion valve; wherein, when the frosting risk level is high, the formula for calculating the new opening degree of the expansion valve is: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system; Determine the calculated new opening degree of the expansion valve Is it less than the maximum opening of the expansion valve? If the expansion valve is newly opened If the opening degree of the expansion valve is less than the maximum opening degree, and the calculated frosting probability does not decrease after a preset adjustment time, then the electric heating function of the outdoor unit will be activated. If the expansion valve is newly opened If the opening is greater than or equal to the maximum opening of the expansion valve, the opening of the expansion valve will remain unchanged, and the electric heating function of the outdoor unit will be activated.

[0109] Specific limitations regarding the air conditioner frosting control device 100 can be found in the above description of the air conditioner frosting control method, and will not be repeated here. Each module in the aforementioned air conditioner frosting control device 100 can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0110] In one embodiment, a computer device 200 is provided, which may be a server, and its internal structure diagram may be as follows: Figure 9 As shown. The computer device 200 includes a processor 220, memory, and a network interface 250 connected via a system bus 210. The processor 220 provides computing and control capabilities. The memory of the computer device 200 includes non-volatile and / or volatile storage media and internal memory 240. The non-volatile storage media 230 stores an operating system 231, computer programs 232, and a database 233. The internal memory 240 provides an environment for the operation of the operating system and computer programs in the non-volatile storage media 230. The network interface 250 of the computer device 200 is used to communicate with external clients via a network connection. When the computer program is executed by the processor 220, it implements the functions or steps of an air conditioning frost control method server. That is, when the processor 220 executes the computer program, it implements the following steps: S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data; S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future; S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost. S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

[0111] In one embodiment, a computer device 300 is provided, which may be a client, and its internal structure diagram may be as follows: Figure 10 As shown. The computer device includes a processor 320, memory, network interface 350, display screen 370, and input device 360 ​​connected via a system bus 310. The processor 320 provides computing and control capabilities. The memory includes a non-volatile storage medium 330 and internal memory 340. The non-volatile storage medium 330 stores an operating system 331 and a computer program 332. The internal memory provides an environment for the operation of the operating system 331 and the computer program 332 in the non-volatile storage medium 330. The network interface 350 of the computer device 300 is used for communication with an external server via a network connection. When the computer program is executed by the processor 320, it implements the functions or steps of an air conditioning frost control method on the client side. That is, when the processor 320 executes the computer program 332, it implements the following steps: S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data; S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future; S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost. S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

[0112] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor: S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data; S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future; S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost. S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

[0113] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0114] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0115] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0116] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

[0117] The above examples are merely illustrative of the technical content of the present invention to facilitate reader understanding, but do not imply that the implementation of the present invention is limited thereto. Any technical extensions or re-creations made based on the present invention are protected by the present invention. The scope of protection of the present invention is defined by the claims.

Claims

1. A frost control method for an air conditioner, applied to a heating operation of the air conditioner, the method comprising: determining whether a temperature of the air conditioner is lower than a predetermined temperature; and controlling a defrost operation of the air conditioner based on the determination. The method includes: S10: Obtain outdoor environmental parameters and outdoor unit system parameters; wherein, the outdoor environmental parameters are obtained from weather forecast data; S20: Based on the outdoor environmental parameters and the system parameters, predict the probability of frost formation when the outdoor unit operates at a set time in the future; S30: Determine the frost risk level based on the frost probability, and use a hierarchical control strategy to control the outdoor unit against frost. S40: Repeat steps S10 to S30 according to the preset update cycle until the air conditioner exits the heating mode.

2. The air conditioner frosting control method of claim 1, wherein, The outdoor environmental parameters include outdoor temperature, outdoor humidity and outdoor wind speed, and the system parameters include evaporator outlet temperature, refrigerant evaporation temperature, fan speed and expansion valve opening. The method of predicting the probability of frosting on the outdoor unit during a future set operating time based on the outdoor environmental parameters and the system parameters includes: Calculate the outdoor dew point temperature based on the outdoor temperature and outdoor humidity. Calculate the temperature at the evaporator outlet of the outdoor unit within a set timeframe based on outdoor environmental parameters and outdoor unit system parameters; Based on the outdoor dew point temperature and the evaporator outlet temperature, the frost start time is determined, and the frost probability is calculated based on the time difference between the current time and the frost start time.

3. The air conditioner frosting control method according to claim 2, characterized in that, The outdoor dew point temperature is calculated by an outdoor dew point temperature calculation formula, the outdoor dew point temperature calculation formula is: ; wherein, represents the outdoor dew point temperature at time t, T and RH respectively represent the outdoor temperature and the outdoor humidity at time t, and a and b are constants.

4. The air conditioner frosting control method according to claim 3, characterized in that, The temperature at the evaporator outlet of the outdoor unit within the specified future time period is calculated using a dynamic differential equation relating the outdoor environment and the evaporator; the dynamic differential equation is: ； Where t+τ is a future set time, representing the future time t+τ; This represents the temperature at the evaporator outlet at time t+τ in the future. This represents the temperature at time t at the evaporator outlet, where ρ is the air density. This refers to the cross-sectional area of ​​the outdoor unit's fan blades. This represents the surface wind speed of the evaporator at the future time t+τ. The specific heat capacity of air, Let Ae represent the outdoor temperature at the future time t+τ obtained from weather forecast data, m and n be the convective heat transfer coefficient constants, and Ae represent the evaporator area; the formula for calculating the surface wind speed of the evaporator at the future time t+τ is: ; k is the air volume coefficient of the fan blade, r(t+ Let t be the rotational speed of the wind turbine blades at the future time t+τ.

5. The air conditioner frosting control method according to claim 4, characterized in that, The step of determining the frost start time based on the outdoor dew point temperature and the evaporator outlet temperature, and calculating the frost probability based on the time difference between the current moment and the frost start time, includes: Based on preset frosting critical conditions, a frosting risk function is constructed; wherein, the frosting risk function is: When the evaporator surface temperature is lower than the smaller of the outdoor dew point temperature and 0°C, F(t) = 1, indicating that there is a risk of frosting at time t; otherwise, F(t) = 0, indicating that there is no risk of frosting at time t. Based on the aforementioned frost risk function, calculate from the current... From Moment to the Future Frost risk value at any time The current From Moment to the Future The expression for the frost risk value within a given time period is: ;in, Indicates to Round down; Detect current From Moment to the Future If there is a period in the frost risk value within a given time period where F(t) > 0, then there is a frost risk in the corresponding period; otherwise, there is no frost risk. The calculation is performed in subdivided periods where there is a risk of frost to determine the start time of frost and the relationship between the start time of frost and the current time. The time difference is used to calculate the frost probability based on the frost rate coefficient and the time difference.

6. The air conditioner frosting control method according to claim 5, characterized in that, The process involves subdividing the time periods at risk of frost formation to determine the frost onset time and the relationship between the frost onset time and the current time. The time difference between moments is used to calculate the frosting probability based on the frosting rate coefficient and the time difference, including: The time periods with a risk of frosting are discretized using a preset time step. The outdoor dew point temperature and the evaporator outlet temperature are calculated segment by segment. The moment when F(t) first equals 1 is recorded as the start of frosting. ; Calculate the current Time until the start of frosting Time difference = - The probability of frost formation was calculated based on the cumulative frost effect and the frost rate coefficient. ; The formula for calculating the probability of frost formation is as follows: ; e is the base of the natural logarithm, The frost rate coefficient has a base value of h0 = 0.15, and is calculated using the formula h(t1) = h0[RH(t1) / 90%]. 1.2 .

7. The air conditioner frosting control method according to claim 6, characterized in that, The step of determining the frost risk level based on the frost probability and using a tiered control strategy to control the outdoor unit against frost includes: When the frosting probability Less than the first preset threshold At that time, the risk level of frost formation was determined to be low; The outdoor unit's fan speed is reduced according to the new fan speed calculation formula; When the frosting risk level is low, the formula for calculating the new fan speed is: ; Let t be the fan speed at time t. This is the set minimum speed for the fan.

8. The air conditioner frosting control method according to claim 6, characterized in that, The step of determining the frost risk level based on the frost probability and using a tiered control strategy to regulate the outdoor unit against frost includes: When the frosting probability Greater than or equal to the first preset threshold And less than the second preset threshold At that time, the risk level of frost formation was determined to be medium. The outdoor unit's fan speed is reduced according to the new fan speed calculation formula, and the outdoor unit's expansion valve opening is increased according to the new expansion valve opening value calculation formula. When the frost risk level is medium, the formula for calculating the new fan speed is: In the formula, For the new fan speed, Let t be the fan speed at time t. This is the set minimum fan speed; When the frost risk level is medium, the formula for calculating the new opening degree of the expansion valve is: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system.

9. The air conditioner frosting control method according to claim 6, characterized in that, The step of determining the frost risk level based on the frost probability and using a tiered control strategy to control the outdoor unit against frost includes: When the frosting probability Greater than the second preset threshold At that time, the risk level of frost formation was determined to be high; Control the outdoor unit's fan speed to reduce to the minimum speed. The opening degree of the outdoor unit's expansion valve is increased according to the formula for calculating the new opening degree of the expansion valve; wherein, when the frosting risk level is high, the formula for calculating the new opening degree of the expansion valve is: In the formula, This is the new opening value of the expansion valve. Let t be the opening degree of the expansion valve. To control the proportional gain of the system; Determine the calculated new opening degree of the expansion valve Is it less than the maximum opening of the expansion valve? If the expansion valve is newly opened If the opening degree of the expansion valve is less than the maximum opening degree, and the calculated frosting probability does not decrease after a preset adjustment time, then the electric heating function of the outdoor unit will be activated. If the expansion valve is newly opened If the opening is greater than or equal to the maximum opening of the expansion valve, the opening of the expansion valve will remain unchanged, and the electric heating function of the outdoor unit will be activated.

10. An air conditioner frosting control device, characterized in that, The device includes a module for performing the air conditioning frost control method as described in any one of claims 1-9.

11. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the air conditioning frost control method as described in any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that, when executed by a processor, can implement the air conditioning frost control method as described in any one of claims 1-9.

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