Methods, devices, and air conditioners for predicting frost buildup.

By constructing a regional frost map, determining the frost zone using dry-bulb temperature and relative humidity, and normalizing the frost rate and time, the problem of frost amount prediction error in air conditioners is solved, and precise defrosting control is achieved.

CN117267869BActive Publication Date: 2026-07-17GREE ELECTRIC APPLIANCE INC OF ZHUHAI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GREE ELECTRIC APPLIANCE INC OF ZHUHAI
Filing Date
2022-06-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing air conditioners frequently exhibit "defrosting without frost" and "not defrosting with frost" phenomena due to errors in predicting the amount of frost during defrosting. They are unable to promptly identify the frost rate based on changes in the outdoor environment, resulting in inaccurate defrosting control.

Method used

By constructing regional frost maps, determining frost zones using dry-bulb temperature and relative humidity, and normalizing the frost rate and time, the amount of frost on the air conditioner can be calculated for accurate prediction.

Benefits of technology

It improves the accuracy of air conditioner frost prediction, ensures the accuracy of defrosting control, and reduces the phenomena of false defrosting and failure to defrost when frost is present.

✦ Generated by Eureka AI based on patent content.

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Abstract

A method, apparatus, and air conditioner for predicting air conditioner frost amount are provided. The method includes: acquiring the dry-bulb temperature and relative humidity of the air during air conditioner operation in real time; constructing a regional frost map of the air conditioner and normalizing the frost rate and frost time of each frost zone in the regional frost map, wherein the regional frost map includes frost zones, and each frost zone includes multiple frost sub-zones; determining the frost sub-zone entered during air conditioner operation based on the dry-bulb temperature and relative humidity; calculating the frost amount in each frost sub-zone during air conditioner operation based on the frost sub-zone entered during air conditioner operation, and the frost rate and frost time of the normalized frost sub-zones; and predicting the frost amount of the air conditioner by normalizing the frost amount in each frost sub-zone. This invention can predict the frost amount of air source heat pump air conditioners, improve the prediction accuracy of frost amount, and thus achieve precise defrosting.
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Description

Technical Field

[0001] This invention relates to the field of automatic control, and more specifically to a method, apparatus and air conditioner for predicting the amount of frost buildup in an air conditioner. Background Technology

[0002] When defrosting an air conditioner, the key is to accurately judge the amount of frost. In existing defrosting control strategies for air conditioners, errors in predicting or identifying the amount of frost lead to frequent instances of "false defrosting" (defrosting when there is no frost) and "false defrosting when there is frost" (not defrosting when there is frost). In actual operation, the frost rate is a dynamic and variable value due to changes in the outdoor environment.

[0003] Therefore, a defrosting control strategy is needed that can identify and calculate the frost rate in a timely manner based on changes in the outdoor environment, thereby improving the accuracy of frost amount prediction.

[0004] The information disclosed in the background section above is only used to further understand the background of the present invention, and therefore may include information known to those skilled in the art that does not constitute prior art. Summary of the Invention

[0005] This invention relates to an air conditioner frost prediction device and method, as well as an air conditioner. The solution of this invention can determine the frost rate during air conditioner operation based on the dry-bulb temperature Ta and relative humidity RH; and can predict the amount of frost during air conditioner operation based on regional frost patterns.

[0006] The first aspect of the present invention provides a method for predicting the amount of frost on an air conditioner, the method comprising: S1: acquiring the dry-bulb temperature and relative humidity of the air conditioner in real time during operation; S2: constructing a regional frost map of the air conditioner, and normalizing the frost rate and frost time of each frost zone in the regional frost map, wherein the regional frost map includes frost zones, and the frost zones include multiple frost zones; S3: determining the frost zones entered during the operation of the air conditioner based on the dry-bulb temperature and relative humidity of the air conditioner; S4: calculating the amount of frost in each frost zone during the operation of the air conditioner based on the frost zones entered during the operation of the air conditioner, and the frost rate and frost time of the frost zones after normalization, and predicting the amount of frost on the air conditioner by normalizing the amount of frost in each frost zone.

[0007] A second aspect of the present invention provides an air conditioner frost amount prediction device, including a memory and a processor; the memory is used to store a computer program; the processor is used to implement the air conditioner frost amount prediction method of the present invention when the computer program is executed.

[0008] A third aspect of the present invention provides one or more non-transitory storage media, characterized in that the storage media stores a computer program, which, when executed by a processor, implements the air conditioner frost prediction method of the present invention.

[0009] A fourth aspect of the present invention provides an air conditioner that uses the air conditioner frost amount prediction method of the present invention, or includes the air conditioner frost amount prediction device of the present invention, or includes one or more non-temporary storage media of the present invention.

[0010] This invention divides the frosting rate based on the frosting spectrum into regions through theoretical analysis and experimental verification of the frosting rate of air source heat pump air conditioners. This spectrum can more accurately identify the frosting rate during the operation of air source heat pump air conditioners, thereby predicting the amount of frosting in air source heat pump air conditioners, improving the accuracy of the air conditioner's prediction of the amount of frosting, and thus achieving precise defrosting. Attached Figure Description

[0011] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a regional frosting map of an exemplary embodiment of the present invention.

[0013] Figure 2 This is a flowchart of a method for predicting the amount of frost on an air conditioner according to an exemplary embodiment of the present invention.

[0014] Figure 3 This is a regional frost map of equal frost rate zones according to an exemplary embodiment of the present invention.

[0015] Figure 4 This is a regional frost map showing the frost rate points in different regions according to an exemplary embodiment of the present invention.

[0016] Figure 5 This is a schematic diagram of the normalized frosting rate in a sub-interval of a regional frosting map according to an exemplary embodiment of the present invention.

[0017] Figure 6 This is a schematic diagram of the predictive control process for the amount of frost on an air conditioner according to an exemplary embodiment of the present invention. Specific Implementation

[0019] As used herein, the terms "first," "second," etc., can be used to describe elements in exemplary embodiments of the present invention. These terms are used only to distinguish one element from another, and the inherent features or order of the corresponding elements are not limited by the term. Unless otherwise defined, all terms used herein (including technical or scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in common dictionaries are interpreted as having the same meaning as in the context of the relevant technical field, and are not interpreted as having an ideal or overly formal meaning, unless explicitly defined as having such a meaning in this invention.

[0020] Those skilled in the art will understand that the apparatus and methods of the present invention described herein and illustrated in the accompanying drawings are non-limiting exemplary embodiments, and the scope of the invention is defined only by the claims. Features illustrated or described in conjunction with an exemplary embodiment may be combined with features of other embodiments. Such modifications and variations are included within the scope of the invention.

[0021] In the following description, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the drawings, detailed descriptions of known functions or configurations are omitted to avoid unnecessarily obscuring the key technical aspects of the invention. Furthermore, throughout the description, the same reference numerals always refer to the same circuits, modules, or units, and for the sake of brevity, repeated descriptions of the same circuits, modules, or units are omitted.

[0022] Furthermore, it should be understood that one or more of the following methods or aspects can be performed by at least one control unit or controller. The terms "control unit," "controller," "control module," or "main control module" can refer to a hardware device including a memory and a processor. The memory or computer-readable storage medium is configured to store program instructions, and the processor is specifically configured to execute the program instructions to perform one or more processes, which will be further described below. Moreover, it should be understood that, as those skilled in the art will recognize, the following methods can be performed by including a processor in conjunction with one or more other components.

[0023] This invention proposes a method for predicting frost amount by collecting the outdoor dry-bulb temperature Ta and relative humidity RH during the operation of an air conditioner, and then based on a regional frost pattern.

[0024] Figure 1 This is a regional frosting map of an exemplary embodiment of the present invention.

[0025] like Figure 1 As shown, the regional frost map includes the horizontal axis representing dry-bulb temperature Ta, the vertical axis representing relative humidity RH, the critical frost line, and the critical dew line (L). E) and six equal frosting rate lines (L0, L A L B L C L D L E Critical condensation line (L) E The area bounded by the upper part of the curve, the lower part of the curve below the 100% relative humidity line, and the left side of the critical frost line at -16℃ is the frost zone. Curve L... A And curve L C The frosting area is divided into a heavy frosting area, a normal frosting area, and a light frosting area. Additionally, curve L... B And curve L E The general frost zone and the light frost zone are further subdivided into two sub-zones, I and II. The air temperature Ta on the horizontal axis, from -16℃ to 4℃, is divided into 10 temperature zones at 2℃ intervals, plus a temperature zone from 4℃ to 5℃, for a total of 11 temperature zones. Twelve isotherms and five isothermal rates further divide the frost zone into 53 frost pattern sub-zones.

[0026] According to one or more embodiments of the present invention, the main environmental factors affecting air conditioner frosting are the outdoor dry-bulb temperature and relative humidity. -16℃≤Ta≤5℃ represents the outdoor dry-bulb temperature range where frosting will occur during air conditioner operation. Within this temperature range, the frosting rate of the air conditioner is mainly affected by the relative humidity. Within the -16℃≤5℃ temperature range, under the same frosting rate, the relationship between relative humidity and dry-bulb temperature is non-linear. The mathematical expression for this non-linear relationship is K1+K2Ta+K3Ta. 2 =RH.

[0027] According to one or more embodiments of the present invention, L0, L A L B L C L D L E This indicates that in curves L0 and L... A L B L C L D L E The frosting rate values ​​calculated from the air temperature and relative humidity are six different equal values, i.e., the air conditioner is based on curves L0, L... A L B L C L D L E When the outdoor dry-bulb temperature and relative humidity are operating, the frosting rate is 6 different equal values.

[0028] According to one or more embodiments of the present invention, the meaning of the isofrost rate line is that the frost rate on the curve is a constant value. The air temperature Ta on the horizontal axis is divided into 10 temperature intervals from -16℃ to 4℃, with intervals of 2℃. 2℃ is the optimal value of the present invention. If the temperature scale is smaller, the control accuracy can be improved to some extent, but the computational load will increase significantly. However, the frost rate value of each interval will not differ greatly. Considering the current accuracy of temperature sensors, outdoor air fluctuations, and frost rate value fluctuations, a temperature scale of 2℃ is more suitable. Furthermore, the range of the event interval can be 0.5℃ to 3℃, preferably 2℃. According to one or more embodiments of the present invention, the temperature interval division can be a combination of the above-mentioned uniform and non-uniform division, i.e., a uniform division of -16℃ to 4℃ into 10 temperature intervals with intervals of 2℃, and a non-uniform division of 4℃ to 5℃. Those skilled in the art will understand that, in order to better predict the amount of frost, the temperature interval division can be further refined while meeting the computational requirements.

[0029] Figure 2 This is a flowchart of a method for predicting the amount of frost on an air conditioner according to an exemplary embodiment of the present invention.

[0030] like Figure 2 In step S1, the dry bulb temperature Ta and relative humidity RH of the air conditioner are acquired in real time during operation.

[0031] In step S2, a regional frost map of the air conditioner is constructed, and the frost rate and frost time of each frost zone in the regional frost map are normalized. The regional frost map includes frost zones, and each frost zone includes multiple frost zones.

[0032] In step S3, the defrosting zone entered during air conditioner operation is determined based on the dry-bulb temperature and relative humidity of the air.

[0033] In step S4, the amount of frost in each defrosting zone during the operation of the air conditioner is calculated based on the normalized frost rate, frost time, and the defrosting zone entered by the air conditioner. The amount of frost in each defrosting zone is then normalized to predict the amount of frost in the air conditioner.

[0034] Figure 3 This is a regional frost map of equal frost rate zones according to an exemplary embodiment of the present invention. Figure 4 This is a regional frost map showing the frost rate points in different regions according to an exemplary embodiment of the present invention.

[0035] like Figure 3 and Figure 4 As shown, 12 isotherms and 5 isoflag rate lines divide the frosting region into 53 frosting pattern sub-intervals. The isoflag rate line L... AL B L C L D L E The equation is: a nonlinear regression equation of air dry-bulb temperature and air relative humidity when the air dry-bulb temperature meets the predetermined conditions and at the predicted frost rate.

[0036] Equal frosting rate lines L0, L A L B L C L D L E The equation is:

[0037]

[0038]

[0039]

[0040]

[0041]

[0042]

[0043] in, This refers to the frost rate curve when the outdoor relative humidity is 100%. The subscript =100% indicates that the outdoor relative humidity is 100%, and it is a straight line; K 1A ~K 1E K 2A K 2E K 3A ~K 3E These are the equation coefficients.

[0044] According to one or more embodiments of the present invention, the main environmental factors affecting the frosting of the air conditioner are the outdoor dry-bulb temperature and relative humidity. -16℃≤Ta≤5℃ represents the outdoor dry-bulb temperature range in which frosting will occur during the operation of the air conditioner. Within this temperature range, the frosting rate of the air conditioner is mainly affected by the relative humidity. Within the temperature range of -16℃≤Ta≤5℃, under the same frosting rate, the relationship between relative humidity and dry-bulb temperature is nonlinear. The mathematical expression for this nonlinear relationship is K1+K2Ta+K3Ta=RH.

[0045] According to one or more embodiments of the present invention, L0, L A L B L C L D L EThis indicates that in curves L0 and L... A L B L C L D L E The frosting rate values ​​calculated from the air temperature and relative humidity are six different equal values, i.e., the air conditioner is based on curves L0, L... A L B L C L D L E When the outdoor dry-bulb temperature and relative humidity are measured, the frost rate is at six different constant values. A constant frost rate curve means that the frost rate is constant along this curve. This means the frost rate curve when the outdoor relative humidity is 100%. Since the maximum relative humidity of the air is 100%, therefore... It is a straight line, such as Figure 1 , Figure 3 and Figure 4 As shown.

[0046] According to one or more embodiments of the present invention, K 1A ~K 1E K 2A K 2E K 3A ~K 3E The coefficients are those of the regression equation between relative humidity and dry-bulb temperature under constant frost rate control. They do not have specific physical meaning and are dimensionless. The equation model is not incompatible with temperature and humidity due to their different dimensions, because the regression model calculates the mapping relationship between them, not a direct conversion relationship.

[0047] Figure 5 This is a schematic diagram of the normalized frosting rate in a sub-interval of a regional frosting map according to an exemplary embodiment of the present invention.

[0048] According to one or more embodiments of the present invention, such as Figure 3 , Figure 4 and Figure 5 As shown, the normalization process for frost rate and frost time in the regional frost map includes: normalizing the frost rate within the sub-interval to a fixed value related to the vertex of the sub-interval.

[0049] Specifically, the intersection of the 12 isotherms and the 6 isotherms of frost rate is the frost rate point δ, and each frost rate zone is enclosed by 3 to 4 frost rate points. For example: frost rate zones. It is by , , and The region enclosed by four frosting rate points. This invention considers the frosting rate to be equal within this region, and the formula for calculating the frosting rate is as follows:

[0050]

[0051] In the formula, i = A, B, C, D, E (frost rate lines); j = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 (temperature range); specifically, for i, when i = A, i+1 = 0; when i = B, i+1 = A; and so on, for example:

[0052]

[0053] According to one or more embodiments of the present invention, in step S3 above, as Figure 4 As shown, during the operation of the air conditioner, the outdoor dry-bulb temperature Ta and outdoor relative humidity RH are collected to determine which defrosting zone or sub-zone within the defrosting zone the air conditioner enters during operation.

[0054] (1) -16℃≤Ta≤5℃&K 1A +K 2A Ta+K 3A Ta 2 When RH is ≤, the operating range is divided into heavy frost zones, and then the heavy frost zones are further divided according to the outdoor dry-bulb temperature. ~ There are a total of 9 frosting rate ranges. Timing starts based on the air conditioner's operating time in each zone. For example, if it enters... The interval is T, which is the start time. A1 ,Enter The interval is T, which is the start time. A2 I will not go into detail here.

[0055] (2) When -16℃≤Ta≤5℃&K 1B +K 2B Ta+K 3B Ta 2 ≤RH≤K 1A +K 2A Ta+K 3A Ta 2 At that time, the operating area is divided into general frost zone I, and then the heavy frost zone is divided according to the outdoor dry-bulb temperature. ~ There are a total of 11 frosting rate ranges. Timing starts based on the air conditioner's operating time in each zone. For example, if it enters... The interval is T, which is the start time. B1 ,Enter The interval is T, which is the start time. B2 wait;

[0056] (3) When -16℃≤Ta≤5℃&K 1C +K 2C Ta+K 3C Ta 2 ≤RH≤K 1B +K 2B Ta+K 3B Ta 2 At that time, the operating area is divided into a general frost zone II, and then the heavy frost zone is divided according to the outdoor dry-bulb temperature. ~ There are a total of 11 frosting rate sub-ranges. Timing starts based on the air conditioner's operating time within each frosting zone. For example, if it enters... The interval is T, which is the start time. C1 ,Enter The interval is T, which is the start time. C2 wait;

[0057] (4) When -16℃≤Ta≤5℃&K 1D +K 2D Ta+K 3D Ta 2 ≤RH≤K 1C +K 2C Ta+K 3C Ta 2 At that time, the operating area was divided into a light frost zone I, and then the heavy frost zone was divided according to the outdoor dry-bulb temperature. ~ There are a total of 11 frosting rate sub-ranges. Timing starts based on the air conditioner's operating time within each frosting zone. For example, if it enters... The interval is T, which is the start time. D1 ,Enter The interval is T, which is the start time. D2 wait;

[0058] (5) -16℃≤when Ta≤5℃&K 1E +K 2E Ta+K 3E Ta 2 ≤RH≤K 1D +K 2D Ta+K 3D Ta 2 At that time, the operating area is divided into a light frost zone II, and then the heavy frost zone is divided according to the outdoor dry-bulb temperature. ~ There are a total of 11 frosting rate zones. Timing starts based on the air conditioner's operating time within each frosting zone. For example, if it enters... The interval is T, which is the start time. E1 ,Enter The interval is T, which is the start time. E2 wait.

[0059] The '&' symbol represents the logical AND in the above conditions.

[0060] According to one or more examples of the present invention, in step S4 above, the amount of frost in each defrosting zone during air conditioner operation is... for:

[0061]

[0062] in, This represents the normalized frosting rate of the sub-intervals of the frosting region. Σ represents the normalized frost time of the sub-interval of the frost division region, and Σ represents the summation of the normalized frost rate and normalized frost time for all sub-intervals of the frost division region.

[0063] Specifically, the cumulative frost amount of each frost zone is calculated based on the frost rate and frost zone during the operation of the air conditioner. The cumulative frost amount of the heavy frost zone is: The cumulative frost amount in general Frost Zone I is: The cumulative frost amount in the general frosting zone II is: The cumulative frost amount in Zone I of Light Frost is The cumulative amount of frost in the Light Frost II zone is: .

[0064] in, This indicates that the air conditioner is operating at A. i The frosting rate, A i This represents the sub-interval of equal frosting rates; see details below. Figure 3 Even within the same defrost zone, the defrosting rate of an air conditioner will vary due to differences in dry-bulb temperature and relative humidity. The division into defrost zones only reflects the overall defrosting rate; it does not imply that the defrosting rate is equal for all operating conditions within that zone. Therefore, to facilitate the calculation of the defrosting rate, this patent subdivides each defrost zone into several equal defrosting rate intervals based on different dry-bulb temperatures and relative humidity. Specifically, each defrost zone is divided at intervals of Δ2°C based on dry-bulb temperature. express Figure 3 The normalized frosting rate of A1 between sub-regions (or between sub-regions) of the central frosting zone, and so on for others. T Ai This indicates the time the air conditioner operates in different defrosting zones (or sub-zones), such as T. A1 This indicates the operating time of the air conditioner in sub-zone A1 of the heavy frost zone, and so on for the others.

[0065] According to one or more embodiments of the present invention, i represents the coordinates of a sub-interval (or sub-interval) of the frost-covered area, as detailed in the following figures. Figure 3 For example, A1 represents... Figure 3 Subintervals A1 and A2 of the heavy frost region represent Figure 3 Subintervals A2, ... of the heavy frost region; express Figure 3 The normalized frosting rate of sub-interval A1 in the heavy frost region. ,express Figure 3 Normalized frosting rate of subinterval A2 in the heavy frost region, ...; T A1 T represents the operating time of the air conditioner in sub-zone A1 of the heavy frost zone. A2 This indicates the operating time of the air conditioner in sub-zone A2 of the heavy frost zone, and so on for the others.

[0066] Then, the total cumulative frost amount during operation is normalized. By normalizing the total frost amount in each frost zone, the frost amount of the air conditioner can be predicted. The specific formula for predicting the amount of frost on the air conditioner is as follows:

[0067]

[0068] in, To predict the amount of frost buildup on an air conditioner, The amount of frost in each frost zone, This is the sum of the normalized frosting times across all sub-intervals within the frosting zone. This represents the total time spent entering the frosting zone.

[0069] For example, the calculation method is as follows:

[0070]

[0071] in, To predict the amount of frost buildup on air conditioners; The normalization coefficient for the heavy frost region; This is the normalization coefficient for the typical frosting region I; This is the normalization coefficient for the typical frosting zone II. The normalization coefficient for a light frost region I; This is the normalization coefficient for the Light Frost II region.

[0072] In the above formula, the numbers 30, 45, 60, 150, and 240 represent minutes; the calculation time interval for summation can be 0 to 20 minutes, preferably calculated every 10 minutes to reduce the amount of calculation.

[0073] Figure 6 This is a schematic diagram of the predictive control process for the amount of frost on an air conditioner according to an exemplary embodiment of the present invention.

[0074] like Figure 6 As shown, the dry-bulb temperature and relative humidity (Ta and RH) of the air are first acquired in real time during the operation of the air conditioner.

[0075] Secondly, the obtained dry-bulb temperature and relative humidity of the air are substituted into the isoflag rate lines L0 and L2. A L B L C L D L E Determine which defrosting zone the air conditioner is operating in, as shown in step S3 above.

[0076] Furthermore, based on the constructed regional frosting map of the air conditioner, the frosting rate and frosting time are normalized in the regional frosting map, specifically as follows: Figure 6 As shown, the frosting rate and frosting time in the 53 sub-intervals are normalized according to step S2.

[0077] In addition, the cumulative frost amount in the heavy frost area is calculated as follows: The cumulative frost amount in general Frost Zone I is: The cumulative frost amount in the general frosting zone II is: The cumulative frost amount in Zone I of Light Frost is The cumulative amount of frost in the Light Frost II zone is: And calculate the predicted amount of frost based on the cumulative amount of frost in each frost zone:

[0078] .

[0079] According to one or more embodiments of the present invention, the present invention also provides a frosting amount prediction device, including a memory and a processor; the memory is used to store a computer program; the processor is used to implement the above-described air conditioner frosting amount prediction method when the computer program is executed.

[0080] According to one or more embodiments of the present invention, the present invention also provides one or more non-transitory storage media, characterized in that the storage media stores a computer program, which, when executed by a processor, implements the above-described method for predicting the amount of air conditioning frost.

[0081] According to one or more embodiments of the present invention, the present invention also provides an air conditioner that uses the above-described method for predicting the amount of frost on an air conditioner, or includes the above-described device for predicting the amount of frost on an air conditioner, or includes one or more of the above-described non-temporary storage media.

[0082] According to one or more embodiments of the present invention, the control logic of the present invention can implement the processing of the processes in the system described above using encoded instructions (e.g., computer and / or machine-readable instructions) stored on a non-transitory computer and / or machine-readable medium (e.g., hard disk drive, flash memory, read-only memory, optical disk, digital multifunction disk, cache, random access memory, and / or any other storage device or storage disk), storing information for any period of time (e.g., extended time periods, permanent, transient instances, temporary caches, and / or information caches) in the non-transitory computer and / or machine-readable medium. As used herein, the term "non-transitory computer-readable medium" is explicitly defined to include any type of computer-readable storage device and / or storage disk, excluding propagation signals and transmission media.

[0083] According to one or more embodiments of the present invention, the logic in the system of the present invention can be implemented using control circuitry (control logic, main control system, or control module), which may include one or more processors and may also internally include non-transitory computer-readable media. Specifically, the main control system or control module may include a microcontroller (MCU). The processor used to implement the processing of the logic in the system of the present invention may be, for example, but not limited to, one or more single-core or multi-core processors. The processor (one or more) may include any combination of general-purpose processors and special-purpose processors (e.g., graphics processors, application processors, etc.). The processor may be coupled thereto and / or may include memory / storage devices and may be configured to execute instructions stored in the memory / storage devices to implement various applications and / or operating systems running on the controller in the present invention.

[0084] The accompanying drawings and detailed description of the invention, cited above as examples, serve to explain the invention but do not limit its meaning or scope as described in the claims. Therefore, those skilled in the art can readily make modifications from the above description. Furthermore, those skilled in the art can remove some of the components described herein without degrading performance, or add other components to improve performance. Additionally, those skilled in the art can change the order of steps in the method described herein depending on the process or equipment environment. Therefore, the scope of the invention should not be determined by the embodiments described above, but rather by the claims and their equivalents.

[0085] Although the invention has been described in conjunction with embodiments now considered to be achievable, it should be understood that the invention is not limited to the disclosed embodiments, but rather is intended to cover various modifications and equivalent configurations included within the spirit and scope of the appended claims.

[0086] The following are further examples of the present invention:

[0087] Example 1. A method for predicting the amount of frost buildup in an air conditioner, comprising:

[0088] S1: Real-time acquisition of dry-bulb temperature and relative humidity of the air during air conditioner operation;

[0089] S2: Construct a regional frosting map of the air conditioner, wherein the regional frosting map includes frosting areas, and the frosting areas include multiple frosting sub-areas. Normalize the frosting rate and frosting time of each frosting sub-area in the frosting area.

[0090] S3: Determine the defrosting zone entered during air conditioner operation based on the dry-bulb temperature and relative humidity of the air;

[0091] S4: Calculate the amount of frost in each frost zone during air conditioner operation based on the frost zone entry point, the frost rate of the frost zone after normalization, and the frost time of the frost zone. Predict the amount of frost in the air conditioner by normalizing the amount of frost in each frost zone.

[0092] Example 2. According to the method described in Example 1, wherein in step S2, the horizontal axis of the regional frost map is the dry-bulb temperature of the air and the vertical axis is the relative humidity of the air, and the regional frost map includes frost area, condensation area and non-frost area.

[0093] Example 3. According to the method described in Example 1, wherein in step S2, the regional frost map includes a critical frost line, a critical dew line, and six isofluraneous frost rate lines L0, L1, L2, L3, L4, L5, L6, L7, L8, L9, L1, L1, L1, L2, L1, L2, L3, L1, L2, L3, L4, L5, L6, L7, L8, A L B L C L D L E ;

[0094] Among them, the critical condensation line L E The area bounded by the upper side, the lower side of the predetermined humidity line L0 for relative humidity, and the left side of the predetermined temperature line for dry-bulb temperature (critical frosting line) is the frosting zone; and

[0095] The relative humidity is the predetermined humidity line L0 and curve L. A The area between them is a region of heavy frost, and curve L is the curve for this region. A And curve L C The area between these two curves is the typical frosting zone. C Curve L D The area between these two sections is a light frost zone; additionally, curve L... B And curve L D The general frosting area and the light frosting area are further subdivided into two sub-areas, I and II.

[0096] Example 4. The method according to Example 3, wherein the predetermined humidity line is the predetermined humidity 100% line of relative humidity, and the predetermined temperature line of dry bulb temperature is the dry bulb temperature -16°C line.

[0097] Example 5. According to the method described in Example 4, wherein the isoflurane rate line L A L B L C L D L E The equation is: a nonlinear regression equation of air dry-bulb temperature and air relative humidity when the air dry-bulb temperature meets the predetermined conditions and at the predicted frost rate.

[0098] Example 6. The method according to Example 5, wherein the isoflurane rate lines L0, L... A L B L C L D L E The equation is:

[0099]

[0100]

[0101]

[0102]

[0103]

[0104]

[0105] in, The meaning is the frost rate curve when the outdoor relative humidity is 100%, which is a straight line; K 1A ~K 1E K 2A K 2E K 3A ~K 3E These are the equation coefficients.

[0106] Example 7. The method according to Example 6, wherein, in step S2, in the regional frosting map, isotherms at predetermined temperature intervals and isothermal lines L0, L1 are connected. A L B L C L D L E The frosted area is divided into multiple sub-areas.

[0107] Example 8. The method according to Example 2, wherein the dry-bulb temperature of the air in the frosting zone is between -16°C and 5°C.

[0108] Example 9. According to the method described in Example 7, wherein, in step S2, normalizing the frost rate and frost time in the regional frost map includes: normalizing the frost rate within the sub-interval to a fixed value associated with the vertices of the sub-interval.

[0109] Example 10. The method according to Example 9, wherein the fixed value is:

[0110]

[0111] in, , , and Let be the frosting rate value at the vertex of the sub-interval, where i is the i-th temperature interval and j is the j-th temperature curve.

[0112] Example 11. The method according to Example 10, wherein, in step S2, normalizing the frosting time in the regional frosting map includes:

[0113] The operating time of the air conditioner in each sub-zone is used as the normalized frosting time of that sub-zone.

[0114] Example 12. The method according to Example 11, wherein, in step S4, the amount of frost is summarized in each defrosting zone during air conditioner operation. for:

[0115]

[0116] in, This represents the normalized frosting rate of the sub-intervals of the frosting region. Σ represents the normalized frost time of the sub-interval of the frost division region, and Σ represents the summation of the normalized frost rate and normalized frost time for all sub-intervals of the frost division region.

[0117] Example 13. The method according to Example 6, wherein in step S3,

[0118] When -16℃≤Ta≤5℃&K 1A +K 2A Ta+K 3A Ta 2 When RH is ≤, the air conditioner is confirmed to be in the heavy defrosting zone during operation;

[0119] When -16℃≤Ta≤5℃&K 1B +K 2B Ta+K3B Ta 2 ≤RH≤K 1A +K 2A Ta+K 3A Ta 2 At that time, it was determined that the air conditioner was in general frosting zone I during operation;

[0120] When -16℃≤Ta≤5℃&K 1C +K 2C Ta+K 3C Ta 2 ≤RH≤K 1B +K 2B Ta+K 3B Ta 2 At that time, it is determined that the air conditioner has entered the general frosting zone II during operation;

[0121] When -16℃≤Ta≤5℃&K 1D +K 2D Ta+K 3D Ta 2 ≤RH≤K 1C +K 2C Ta+K 3C Ta 2 At that time, determine whether the air conditioner is in light frost zone I during operation;

[0122] When -16℃≤WhenTa≤5℃&K 1E +K 2E Ta+K 3E Ta 2 ≤RH≤K 1D +K 2D Ta+K 3D Ta 2 At that time, determine whether the air conditioner is in light frost zone II during operation;

[0123] Example 14. The method according to Example 12, wherein, in step S4, the amount of frost on the air conditioner is predicted by normalizing the total frost amount. include:

[0124]

[0125] in To predict the amount of frost buildup on an air conditioner, To summarize the frost amount in each frost zone, This is the sum of the normalized frosting times across all sub-intervals within the frosting zone. This represents the total time spent entering the frosting zone.

[0126] Example 15. The method according to Example 7, wherein isothermal lines at predetermined temperature intervals and the isothermal frosting rate lines L0, L...A L B L C L D L E Dividing the frosted area into multiple sub-areas includes:

[0127] The air temperature Ta on the horizontal axis of the regional frost pattern is divided into 10 temperature ranges from -16℃ to 4℃, with each range being 4℃ to 5℃.

[0128] Example 16. The method described in Example 13, wherein the time interval for predicting the amount of frost on the air conditioner is in the range of 0-20 minutes.

[0129] Example 17. According to the method described in Example 14, wherein The time intervals for heavy frost, general frost I, general frost II, light frost I, and light frost II are 240 minutes, 150 minutes, 60 minutes, 45 minutes, and 30 minutes, respectively.

[0130] Example 18. An air conditioner frost amount prediction device, comprising a memory and a processor; the memory is used to store a computer program; the processor is used to implement the above-described air conditioner frost amount prediction method when the computer program is executed.

[0131] Example 19. One or more non-transitory storage media, characterized in that the storage media stores a computer program that, when executed by a processor, implements the above-described method for predicting the amount of frost on an air conditioner.

[0132] Example 20. An air conditioner that uses the above-described method for predicting the amount of frost on an air conditioner, or includes the above-described device for predicting the amount of frost on an air conditioner, or includes one or more of the above-described non-temporary storage media.

Claims

1. A method for predicting the amount of frost buildup in an air conditioner, comprising: S1: Real-time acquisition of dry-bulb temperature and relative humidity of the air during air conditioner operation; S2: Construct a regional frost map of the air conditioner, and normalize the frost rate and frost time of each frost zone in the regional frost map, wherein the regional frost map includes frost zones, and each frost zone includes multiple frost zones. The regional frost map includes a critical frost line, a critical dew line, and six isoflag rate lines L0, L1, L2, L3, L4, L5, L6, L7, L8, L9, L1, L1, L2, L1, L2, L3, L1, L2, L3, L4, L5, L6, L7, L8, L9, L1, L1, L2, L1, L2, L1, L2, L1, L A L B L C L D L E ; Among them, the critical condensation line L E The area bounded by the upper side, the lower side of the predetermined humidity line L0 for relative humidity, and the left side of the predetermined temperature line for dry-bulb temperature (critical frosting line) is the frosting zone; and The predetermined humidity line L0 and curve L of relative humidity A The area between them is a region of heavy frost, and curve L is the curve for this region. A And curve L C The area between these two curves is the typical frosting zone. C And curve L E The area between them is a light frost zone; curve L B And curve L D The general frosting area and the light frosting area are further subdivided into two sub-areas, I and II. In the sectional frosting pattern, isotherms at predetermined temperature intervals and isothermal lines L0 and L1 are connected. A L B L C L D L E The frosted area is divided into multiple sub-areas; Normalizing the frost rate of each frost sub-region in the frost zone includes: normalizing the frost rate within the sub-interval to a fixed value related to the vertex of the sub-interval; S3: Determine the defrosting zone to be entered during air conditioner operation based on the dry-bulb temperature and relative humidity of the air; S4: Calculate the amount of frost in each frost zone during air conditioner operation based on the frost zone entry point, the frost rate of the frost zone after normalization, and the frost time of the frost zone. Predict the amount of frost in the air conditioner by normalizing the amount of frost in each frost zone.

2. The method according to claim 1, wherein, In step S2, the horizontal axis of the regional frost map is the dry-bulb temperature of the air, and the vertical axis is the relative humidity of the air. The regional frost map includes frost areas, dew areas, and non-frost areas.

3. The method according to claim 1, wherein, The predetermined humidity line is the predetermined humidity 100% line for relative humidity, and the predetermined dry-bulb temperature line is the dry-bulb temperature -16℃ line for air.

4. The method according to claim 3, wherein, The constant frost rate line L A L B L C L D L E The equation is: a nonlinear regression equation of air dry-bulb temperature and air relative humidity when the air dry-bulb temperature meets different predetermined conditions and at the predicted frost rate.

5. The method according to claim 4, wherein, In step S2, normalizing the frosting time of each frosting zone in the frosting area includes: The operating time of the air conditioner in each sub-zone is used as the normalized frosting time of that sub-zone.

6. The method according to claim 5, wherein, In step S4, the amount of frost formed in the defrosting zone during air conditioner operation. for: in, This represents the normalized frosting rate of the sub-intervals of the frosting region. Σ represents the normalized frost time of the sub-interval of the frost division region, and Σ represents the summation of the normalized frost rate and normalized frost time for all sub-intervals of the frost division region.

7. The method according to claim 6, wherein, In step S4, the amount of frost on the air conditioner is predicted by normalizing the amount of frost in each frost zone. include: in To predict the amount of frost buildup on an air conditioner, The amount of frost in each frost zone, This is the sum of the normalized frosting times across all sub-intervals within the frosting zone. This represents the total time spent entering the frosting zone.

8. An air conditioner frost amount prediction device, comprising a memory and a processor; the memory is used to store a computer program; the processor is used to implement the air conditioner frost amount prediction method as described in any one of claims 1 to 7 when the computer program is executed.

9. An air conditioner, comprising the air conditioner frost amount prediction device according to claim 8.