A method and apparatus for predicting defrosting time

Abstract

This invention provides a method and apparatus for predicting defrosting time. The method collects detection parameter information corresponding to the operation of a target device, and calculates the real-time cumulative frost amount of the target device by combining it with a preset regional frost map and the detection parameter information. Then, based on the real-time cumulative frost amount, the defrosting time of the target device is predicted. Based on the method provided by this invention, accurate prediction of device defrosting time can be achieved by combining it with a preset regional frost map.

Description

Technical Field

[0001] This invention relates to the field of automatic control, and more specifically to a defrosting time prediction method and apparatus, an air conditioner, and a non-transitory computer-readable medium. Background Technology

[0002] Currently, most air source heat pump air conditioners use defrosting control methods based on operating time to determine whether defrosting should occur. Some methods also use methods that predict the amount of frost buildup to provide a defrosting decision mechanism. However, these defrosting technologies largely fall under the category of timed defrosting and do not yet offer comprehensive prediction and control over frost rate, frost accumulation, defrosting time, and shutdown defrosting. Therefore, they often fail to meet the technical requirement of maintaining accurate defrosting throughout the entire operating cycle of the air conditioner. Summary of the Invention

[0003] This invention provides a defrosting time prediction method and apparatus, which can solve the technical problem of predicting the amount of frost during the operation of equipment such as air source heat pump air conditioners, and effectively improve the defrosting prediction accuracy of air conditioning equipment, thereby improving the overall performance of air conditioning equipment.

[0004] According to a first aspect of the present invention, a method for predicting defrosting time is provided, comprising:

[0005] Collect detection parameter information corresponding to the operation process of the target equipment;

[0006] The real-time cumulative frost amount of the target device is calculated by combining the preset regional frost pattern and the detection parameter information;

[0007] The defrosting time of the target device is predicted based on the real-time cumulative frost amount.

[0008] Optionally, the detection parameter information includes: outdoor dry-bulb temperature, relative humidity, and / or the cumulative operating time of the target device;

[0009] The calculation of the real-time cumulative frost amount of the target device by combining the preset regional frost map and the detection parameter information includes:

[0010] Based on the detection parameter information, the target zone corresponding to the operating condition of the target device in the regional frost map is determined.

[0011] The detection parameter information is input into the frost rate prediction equation corresponding to the target partition to calculate the frost rate corresponding to the target device.

[0012] The real-time frost amount of the target device is calculated using the frost rate, and then the real-time cumulative frost amount of the target device is calculated based on the real-time frost amount and the cumulative running time.

[0013] Optionally, the regional frosting map includes multiple zones, each zone having a corresponding frosting accumulation line; determining the target zone in the regional frosting map corresponding to the operating condition of the target device based on the detection parameter information includes:

[0014] Based on the outdoor dry-bulb temperature and relative humidity of the air in the detection parameter information, the target zone is determined in multiple zones of the regional frost map.

[0015] Optionally, predicting the defrosting time of the target device based on the real-time cumulative frost amount includes:

[0016] The remaining operating time of the target device is predicted based on the real-time cumulative frost amount.

[0017] The defrosting time point of the target device is determined based on the remaining running time, so that the target device can be controlled to defrost after the defrosting time point is reached.

[0018] Optionally, predicting the remaining operating time of the target device based on the real-time cumulative frost amount includes:

[0019] Determine the frost accumulation line corresponding to the target partition;

[0020] The target running time corresponding to the real-time accumulated frost amount is calculated in reverse using the frost accumulation line.

[0021] The remaining operating time of the target device is calculated based on the cumulative operating time of the target device and the target operating time.

[0022] Optionally, after collecting the detection parameter information corresponding to the operation process of the target device, the method further includes:

[0023] Obtain reference parameter information of the target device prior to a preset time interval;

[0024] By comparing the reference parameter information and the detection parameter information, the parameter changes are obtained, and the defrosting action of the target device is adjusted accordingly based on the parameter changes.

[0025] Optionally, comparing the reference parameter information and the detection parameter information to obtain the parameter changes, and adjusting the defrosting action of the target device accordingly based on the parameter changes, includes:

[0026] Compare the reference parameter information and the detection parameter information;

[0027] If the change in the detection parameter information compared to the reference parameter information exceeds a set range, the defrosting time of the target device is re-predicted.

[0028] If the detected parameter information does not change compared to the reference parameter information or the change is within the set range, the operating state of the target device remains unchanged.

[0029] According to a second aspect of the present invention, a defrosting time prediction device is provided, comprising one or more processors and a non-transitory computer-readable storage medium storing program instructions, wherein when the one or more processors execute the program instructions, the one or more processors are configured to implement the method according to any one of the first aspects.

[0030] According to a third aspect of the invention, a non-transitory computer-readable storage medium is provided, having stored thereon program instructions that, when executed by one or more processors, enable the one or more processors to implement the method according to any one of the first aspects.

[0031] According to a fourth aspect of the invention, an air conditioner is provided that employs the method described in any one of the first aspects, or includes the apparatus described in the second aspect, or has a non-transitory computer-readable storage medium according to the third aspect.

[0032] This invention provides a defrosting time prediction method and apparatus. By collecting detection parameter information corresponding to the operation of a target device, and combining it with a preset regional frosting map and the detection parameter information, the real-time cumulative frosting amount of the target device is calculated. Then, based on the real-time cumulative frosting amount, the defrosting time of the target device is predicted. Based on the method provided by this invention, accurate prediction of device defrosting time can be achieved by combining it with a preset regional frosting map. Furthermore, by predicting the frosting rate, real-time cumulative frosting amount, and defrosting time using the cumulative frosting map, the prediction accuracy of the air conditioner's frosting amount and defrosting time under varying operating conditions is improved, effectively enhancing the overall performance of the air source heat pump air conditioner in all operating conditions. Attached Figure Description

[0033] 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.

[0034] Figure 1This is a schematic flowchart of the defrosting time prediction method according to an embodiment of the present invention;

[0035] Figure 2 This is a schematic diagram of a regional frosting pattern according to an embodiment of the present invention;

[0036] Figure 3 This is a schematic diagram of frost rate zoning prediction according to an embodiment of the present invention;

[0037] Figure 4 This is a schematic diagram of the cumulative frost amount according to an embodiment of the present invention;

[0038] Figure 5 This is a schematic diagram of the overall control flow according to an embodiment of the present invention;

[0039] Figure 6 This is a schematic diagram of the frost accumulation sliding (light frost → heavy frost) according to an embodiment of the present invention;

[0040] Figure 7 This is a schematic diagram of the frost accumulation sliding (heavy frost → light frost) according to an embodiment of the present invention. Detailed Implementation

[0041] 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.

[0042] 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.

[0043] 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.

[0044] Furthermore, it should be understood that one or more of the following methods or aspects can be performed by at least one control system, 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, and the term "air conditioner" can refer to a device similar to a heating or cooling system. 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.

[0045] This invention provides a method for predicting defrosting time, such as... Figure 1 As shown, the defrosting time prediction method of this invention embodiment may include at least the following steps S101~S103. The method provided by this invention embodiment can be mainly applied to equipment with cooling and heating functions such as air conditioners.

[0046] S101, Collect detection parameter information corresponding to the operation process of the target equipment.

[0047] The target device in this embodiment can be an air conditioner or a device with cooling and heating functions or that requires defrosting. This embodiment primarily uses an air conditioner as an example for explanation. The detection parameters collected during the operation of the target device may include: outdoor dry-bulb temperature, relative humidity, and / or the cumulative operating time of the target device. The outdoor dry-bulb temperature and relative humidity can be collected by sensors installed on the target device, and the cumulative operating time can be the cumulative operating time obtained from the time the target device has been running since it was turned on.

[0048] S102, calculates the real-time cumulative frost amount of the target device by combining the preset regional frost pattern and detection parameter information.

[0049] The regional frost pattern in this embodiment is formed by pre-setting multiple zones corresponding to different dry-bulb temperatures and relative humidities. For details, please refer to [link / reference needed]. Figure 2 The frost pattern in this embodiment includes five zones: heavy frost zone, general frost zone I, general frost zone II, light frost zone I, and light frost zone II.

[0050] Optionally, the above steps, combined with the preset regional frost pattern and detection parameter information, to calculate the real-time cumulative frost amount of the target device may include the following steps A1 to A3.

[0051] A1. Based on the detection parameter information, determine the target zone corresponding to the operating condition of the target equipment in the regional frost map. As mentioned above, the regional frost map includes multiple zones. Determining the target zone corresponding to the operating condition of the target equipment in the regional frost map includes: determining the target zone among the multiple zones of the regional frost map based on the outdoor dry-bulb temperature and relative humidity of the air in the detection parameter information.

[0052] A2. Input the detection parameter information into the frost rate prediction equation corresponding to the target partition, and calculate the frost rate corresponding to the target device.

[0053] For each partition, there can be a corresponding frosting rate prediction equation. The target device in this embodiment can have a central control unit, and the central control unit is equipped with a frosting rate prediction encapsulation module. The frosting rate can be calculated using this frosting rate prediction encapsulation module.

[0054] Specifically, by collecting the outdoor dry-bulb temperature Ta (°C) and relative humidity RH (%) during the operation of the air-source heat pump air conditioner, the real-time frosting rate of the air conditioner is calculated, combined with... Figure 3 It can be seen that the prediction equations for frost rate corresponding to different zones are as follows:

[0055] (1) Heavy frost area:

[0056] and Then the frosting rate is set to ;

[0057] (2) General Frost Zone I:

[0058] and Then the frosting rate is set to ;

[0059] (3) General frosting zone II:

[0060] and Then the frosting rate is set to ;

[0061] (4) Light Frost Zone I:

[0062] and Then the frosting rate is set to ;

[0063] (5) Light Frost II Zone:

[0064] and Then the frosting rate is set to ;

[0065] In this embodiment, the temperature range The interval is 2℃. As in the above equation... K 1A , K 2A K 3A ~ K 3D The parameters can be learned based on different types of air conditioners and other equipment during actual application. The specific values ​​of these parameters are not limited in this embodiment of the invention.

[0066] A3 calculates the real-time frost amount of the target device using the frost rate, and then calculates the corresponding real-time cumulative frost amount of the target device based on the real-time frost amount and the cumulative running time.

[0067] In this embodiment, the real-time frost amount can be calculated based on the real-time frost rate obtained in step A2 above. The specific calculation formula is as follows:

[0068]

[0069] in, δA i - The frosting rate of the regulator in each sub-zone of the heavy frost zone, in g / s;

[0070] T A - The time the air conditioner operates in each sub-zone of the heavy frost zone, in seconds (s);

[0071] δB i - The frosting rate of the air conditioner in each sub-zone of the general frosting zone I, in g / s;

[0072] T B - The time, in seconds, during which the air conditioner operates in each sub-zone of the general frosting zone I;

[0073] δC i - The frosting rate of the air conditioner in each sub-zone of the general frosting zone II, in g / s;

[0074] T C - The time, in seconds, during which the air conditioner operates in each sub-zone of the general frost zone II;

[0075] δD i - The frosting rate of the air conditioner in each sub-zone of the light frost zone I, in g / s;

[0076] T D- The time, in seconds, during which the air conditioner operates in each sub-zone of the Light Frost Zone I;

[0077] δE i - The frosting rate of the air conditioner in each sub-zone of the light frost zone II, in g / s;

[0078] T E - The time, in seconds, during which the air conditioner operates in each sub-zone of the Light Frost II zone;

[0079] In practical applications, although only one frost rate is detected each time, from a time perspective, the operation of an air conditioner is a continuous and dynamic process. During a period of operation, the air conditioner may switch between multiple frost zones. Therefore, the calculation of the amount of frost must take into account the frost rate and operating time in each frost zone. This formula can take into account the above requirements, and the calculated amount of frost is based on the frost rate and frost time of the air conditioner in each frost zone.

[0080] After obtaining the real-time frost amount, the real-time cumulative frost amount corresponding to the target device can be calculated based on the real-time frost amount and the cumulative running time of the target device.

[0081] S103 predicts the defrosting time of the target device based on the real-time cumulative frost amount.

[0082] In this embodiment, predicting the defrosting time of the target device based on the real-time cumulative frost amount may further include the following steps B1 to B2.

[0083] B1 predicts the remaining operating time of the target device based on the real-time cumulative frost amount.

[0084] The central control unit of the target device can also be equipped with a frosting accumulation line judgment module. In this embodiment, the real-time accumulated frosting amount is determined by the frosting accumulation line judgment module. Predicting the remaining running time of the target device may include the following steps:

[0085] B1-1, determine the frost accumulation line corresponding to the target partition;

[0086] Optionally, for each section in the map, there can be a corresponding frost accumulation line, and the specific calculation equation is as follows:

[0087] (1) Frost accumulation line in the heavy frost area:

[0088]

[0089] (2) Frost accumulation line in general frosting zone I:

[0090]

[0091] (3) General frosting zone II frosting accumulation line:

[0092]

[0093] (4) Frost accumulation line in Zone I of Light Frost:

[0094]

[0095] (5) Frost accumulation line in Zone II of Light Frost:

[0096]

[0097] Figure 4 This is a schematic diagram of the cumulative frost amount according to an embodiment of the present invention.

[0098] B1-2 uses the frost accumulation line to calculate the target running time corresponding to the real-time accumulated frost amount in reverse.

[0099] Once the frost accumulation line corresponding to the target partition is determined, the running time corresponding to different frost accumulation lines can be calculated backwards based on the real-time frost amount. The calculation equation for calculating the running time corresponding to different frost accumulation lines based on the real-time frost amount is as follows:

[0100] (1) Heavy frost area:

[0101]

[0102] A6, B6, C6, and D6 are correction coefficients for the reverse calculation of the running time equation based on the cumulative frost line in the heavy frost area, while a6, b6, and c6 are control coefficients for the frost amount curve in the reverse calculation of the running time equation based on the cumulative frost line in the heavy frost area.

[0103] (2) General Frost Zone I:

[0104]

[0105] A7, B7, C7, and D7 are correction coefficients for the reverse calculation of the running time equation based on the frost accumulation line in general Frost Zone I. a7, b7, and c7 are control coefficients for the frost amount curve in general Frost Zone I based on the reverse calculation of the running time equation based on the frost accumulation line.

[0106] (3) General frosting zone II:

[0107]

[0108] A8, B8, C8, and D8 are correction coefficients for the reverse calculation of the running time equation based on the frost accumulation line in general Frost Zone II, while a8, b8, and c8 are control coefficients for the frost amount curve in general Frost Zone II based on the reverse calculation of the running time equation based on the frost accumulation line.

[0109] (4) Light Frost Zone I:

[0110]

[0111] A9, B9, C9, and D9 are correction coefficients for the reverse calculation of the running time equation based on the cumulative frost line in Zone I of Light Frost, while a9, b9, and c9 are control coefficients for the frost amount curve in Zone I of Light Frost, based on the cumulative frost line.

[0112] (5) Light Frost II Zone:

[0113]

[0114] A 10 B 10 C 10 D 10 It is the correction coefficient for the reverse calculation of the running time equation based on the frost accumulation line in the Light Frost II zone, a 10 b 10 c 10 The control coefficients for the frost amount curve in the light frost zone II are calculated in reverse based on the cumulative frost line in the running time equation.

[0115] Since different machine models, operating opening control, and compressor operating frequency will all affect the parameters of the above equations, the embodiments of the present invention do not impose specific limitations on the values ​​of the above parameters.

[0116] B1-3, calculate the remaining operating time of the target equipment based on the cumulative operating time and the target operating time of the target equipment.

[0117] By calculating the target running time corresponding to different frost accumulation lines based on the real-time frost amount, the remaining running time can be calculated. The equation for calculating the remaining running time is as follows:

[0118] (1) Heavy frost area:

[0119] (2) General Frost Zone I:

[0120] (3) General frosting zone II:

[0121] (4) Light Frost Zone I:

[0122] (5) Light Frost II Zone:

[0123] B2. Determine the defrosting time point of the target equipment based on the remaining running time, and control the target equipment to defrost after the defrosting time point is reached.

[0124] The defrosting time of the target device can be calculated based on the current time and remaining running time. Then, once the defrosting time is reached, the target device can be controlled to defrost. The control strategy for defrosting can be as follows:

[0125] (1) Heavy frost area:

[0126] If the remaining running time of the T heavy frost zone is 0, stop the machine to defrost; if the remaining running time of the T heavy frost zone is not equal to 0, continue running.

[0127] (2) General Frost Zone I:

[0128] If the remaining running time of General Frost Zone I is 0, stop the machine to defrost; if the remaining running time of General Frost Zone I is not 0, continue running.

[0129] (3) General frosting zone II:

[0130] If the remaining running time of the general frosting zone II is 0, stop the machine to defrost; if the remaining running time of the general frosting zone II is not equal to 0, continue running.

[0131] (4) Light Frost Zone I:

[0132] If the remaining runtime of Zone T (Light Frost I) is 0, stop the machine to defrost; if the remaining runtime of Zone T (Light Frost I) is not 0, continue running.

[0133] (5) Light Frost II Zone:

[0134] If the remaining runtime of the T Light Frost II zone is 0, stop the machine to defrost; if the remaining runtime of the T Light Frost II zone is not equal to 0, continue running.

[0135] In this embodiment of the invention, after collecting the detection parameter information corresponding to the operation process of the target device in step S101, the method further includes: obtaining reference parameter information of the target device before a preset time interval; comparing the reference parameter information and the detection parameter information to obtain the parameter change situation; and adjusting the defrosting action of the target device according to the parameter change situation. Specifically, after comparing the reference parameter information and the detection parameter information, if the change in the detection parameter information compared to the reference parameter information exceeds a set range, the defrosting time of the target device is re-predicted; if the detection parameter information does not change compared to the reference parameter information or the change is within the set range, the operating state of the target device remains unchanged.

[0136] Generally, the target equipment may operate continuously in changing outdoor environments. In this embodiment, a condition monitoring module can also be set in the target equipment to control defrosting under changing conditions. The specific operation of the condition monitoring module is as follows: by monitoring the outdoor dry-bulb temperature Ta and relative humidity RH, when the dry-bulb temperature Ta and relative humidity RH change, the feedback frost rate prediction module executes the above-mentioned defrosting prediction process once; when the dry-bulb temperature Ta and relative humidity RH do not change, the system will continue to execute the previous operating state.

[0137] The method provided in this embodiment predicts the frost rate, real-time cumulative frost amount, and defrost time using a frost accumulation map, making the prediction accuracy of frost amount and defrost time under varying operating conditions more accurate. This effectively improves the overall performance of air source heat pump air conditioners under all operating conditions. The overall process can be found in [reference needed]. Figure 5 As shown.

[0138] To more clearly illustrate the specific implementation method of the present invention, the following two examples will be used for further explanation.

[0139] Operating Condition Example 1

[0140] Operating condition example 1 Figure 6 As shown, this working condition mainly illustrates the specific execution flow controlled by the embodiment of the present invention as C1 to C19 when the accumulated frost slides from the light frost area to the heavy frost area.

[0141] C1, the air conditioner starts running, assuming it is operating in the light frost zone II. The amount of frost in the system changes according to the increasing trend of the cumulative frost amount in the light frost zone II. It should be noted that when initially identifying the operating zone, the frost rate can be calculated by substituting the temperature and humidity parameters into the frost rate prediction equation, and then the frost zone attribute can be determined according to the frost zone division criteria.

[0142] C2, when the system reaches time T1, the accumulated frost amount is Φ1. At this time, the outdoor side changes from operating condition 1 to operating condition 2. The system inputs the changed dry-bulb temperature Ta´ and relative humidity RH´ into the frost rate prediction encapsulation module. The frost rate prediction encapsulation module calculates the real-time frost amount Φ´. The frost rate can be calculated by substituting the real-time detected temperature and humidity parameters into the frost rate prediction equation.

[0143] C3, the system inputs the real-time frost amount Φ´ and running time T´ into the frost accumulation line judgment module. The frost accumulation line judgment module identifies that the current air conditioner's operating state belongs to the light frost zone I. That is, at this time, the frost rate prediction encapsulation module calculates the frost amount change Φ´ and records the corresponding running time T´. In order to determine the frost zone type to which the air conditioner belongs at this time, it is necessary to return to the above frost accumulation line to calculate the running time equation in reverse, substitute the real-time frost amount change Φ´ and running time T´ into the equation, and then determine the matching frost zone.

[0144] C4, then the defrosting time prediction module calculates the equivalent operating time T1´ in the light frost zone I based on the cumulative settlement amount Φ1 during the operation of the air conditioner in the light frost zone II. Then the shutdown defrosting prediction module calculates the remaining operating time of the system △T=150-T1´.

[0145] C5, after the system runs T2 in the light frost zone I, if T2-△T=0, then the system will shut down for defrosting;

[0146] C6, if T2-△T<0, the outdoor side changes from operating condition 3 to operating condition 4, and the system inputs the changed dry-bulb temperature Ta´´ and relative humidity RH´´ into the frosting rate prediction package module.

[0147] C7, the frosting rate prediction encapsulation module calculates the change in frosting amount Φ´´, and the system inputs the change in frosting amount Φ´´ and the running time T´´ into the frosting accumulation line judgment module;

[0148] C8, the frost accumulation line judgment module uses the real-time detected temperature and humidity parameters to identify that the current air conditioner operation status belongs to the general frost zone I. Then, the defrosting time prediction module calculates the equivalent operating time T2´ in the general frost zone I based on the accumulated settlement amount Φ2 during the operation of the air conditioner in the light frost zone I.

[0149] C9, then the shutdown defrosting prediction module calculates the remaining system running time △T=45-T2´. After the system runs for T3 in the light frost zone I, if T3-△T=0, the system executes shutdown defrosting; otherwise, it continues to execute according to the control program.

[0150] Operating Condition Example 2

[0151] Example 2 of operating condition Figure 7 As shown, this working condition mainly illustrates the specific execution flow controlled by the embodiment of the present invention as D1~D9 when the accumulated frost slides from the heavy frost area to the light frost area.

[0152] D1, the air conditioner starts running and operates in the heavy frost zone. The amount of frost in the system changes according to the increasing trend of the cumulative frost amount in the heavy frost zone.

[0153] D2, when the system runs to time T1, the cumulative frost amount is Φ1. At this time, the outdoor side changes from operating condition 1 to operating condition 2. The system inputs the changed air dry bulb temperature Ta´ and relative humidity RH´ to the frost rate prediction package module. The frost rate prediction package module calculates the change in frost amount Φ´.

[0154] D3, the system inputs the change in frost amount Φ´ and the running time T´ to the frost accumulation line judgment module. The frost accumulation line judgment module identifies that the current air conditioner's operating status belongs to the general frost II zone.

[0155] D4. Next, the defrosting time prediction module calculates the equivalent operating time T1´ in the general frost II zone based on the cumulative settlement amount Φ1 during the operation of the air conditioner in the heavy frost zone. Then, the shutdown defrosting prediction module calculates the remaining operating time of the system △T=60-T1´.

[0156] D5, after the system runs T2 in the light frost zone I, if T2-△T=0, then the system will shut down for defrosting;

[0157] D6. If T2-△T<0, the outdoor side changes from operating condition 3 to operating condition 4. The system inputs the changed dry-bulb temperature Ta´´ and relative humidity RH´´ into the frosting rate prediction package module.

[0158] D7, the frosting rate prediction encapsulation module calculates the change in frosting amount Φ´´, and the system inputs the change in frosting amount Φ´´ and the running time T´´ into the frosting accumulation line judgment module;

[0159] D8, the frost accumulation line judgment module identifies that the current air conditioner operation status belongs to the light frost zone I. Then the defrosting time prediction module calculates the equivalent operating time T2´ in the light frost zone I based on the accumulated settlement amount Φ2 during the air conditioner's operation in the general frost zone II.

[0160] D9, then the shutdown defrosting prediction module calculates the remaining system running time △T=150-T2´, the system runs in the light frost zone I for T3; if T3-△T=0, the system executes shutdown defrosting; otherwise, it continues to execute according to the control program.

[0161] According to one or more embodiments of the present invention, the present invention also provides a non-transitory computer-readable storage medium having program instructions stored thereon. When the program instructions are executed by one or more processors, the one or more processors are used to implement the methods or processes shown in the various embodiments of the present invention above. According to one embodiment of the present invention, the air conditioner rinsing control method of the present invention is stored as a program in a readable storage medium. In addition to storing the program that implements each function in a computer, it can also be stored in a recording medium such as a USB flash drive, a portable hard drive, an optical disc, or a hard disk.

[0162] According to one or more embodiments of the present invention, the present invention also provides a defrosting time prediction device, which includes one or more processors and a non-transitory computer-readable storage medium storing program instructions. When the one or more processors execute the program instructions, the one or more processors are used to implement the methods or processes shown in the various embodiments of the present invention above.

[0163] According to one or more embodiments of the present invention, the present invention also includes an air conditioner that employs the method described above, or includes the defrosting time prediction device of the present invention, or has the non-transitory computer-readable storage medium described above.

[0164] According to one or more embodiments of the present invention, the defrost time prediction method of the present invention can implement the processing of the control method 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 time period (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 propagated signals and transmission media.

[0165] According to one or more embodiments of the present invention, the main control system or control module of the air conditioner may include one or more processors and may also internally include a non-transitory computer-readable medium. Specifically, in the defrost time prediction device of the present invention (main control system or control module), a microcontroller (MCU) may be included, which is arranged in the air conditioner for predicting various operations of the air conditioner and implementing various functions. The processor of the air conditioner with rinsing control function may be, such as, 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 device, and may be configured to execute instructions stored in memory / storage device to implement various applications and / or operating systems running on the controller in the present invention.

[0166] 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.

[0167] 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.

Claims

1. A method for predicting defrosting time, characterized in that, include: Collect detection parameter information corresponding to the operation process of the target equipment; Based on the detection parameter information, the target zone corresponding to the operating condition of the target device in the regional frost map is determined. The real-time cumulative frost amount of the target device is calculated by combining the preset regional frost pattern and the detection parameter information; The defrosting time of the target device is predicted based on the real-time cumulative frost amount. The step of predicting the defrosting time of the target device based on the real-time cumulative frost amount includes: The remaining operating time of the target device is predicted based on the real-time cumulative frost amount. The defrosting time point of the target device is determined based on the remaining running time, so that the target device is controlled to defrost after the defrosting time point is reached; The prediction of the remaining operating time of the target device based on the real-time cumulative frost amount includes: Determine the frost accumulation line corresponding to the target partition; The target running time corresponding to the real-time accumulated frost amount is calculated in reverse using the frost accumulation line. The remaining operating time of the target device is calculated based on the cumulative operating time of the target device and the target operating time.

2. The method according to claim 1, characterized in that, The detection parameters include: outdoor dry-bulb temperature, relative humidity, and / or the cumulative operating time of the target device; The calculation of the real-time cumulative frost amount of the target device by combining the preset regional frost map and the detection parameter information includes: The detection parameter information is input into the frost rate prediction equation corresponding to the target partition to calculate the frost rate corresponding to the target device. The real-time frost amount of the target device is calculated using the frost rate, and then the real-time cumulative frost amount of the target device is calculated based on the real-time frost amount and the cumulative running time.

3. The method according to claim 2, characterized in that, The regional frosting map includes multiple zones; the determination of the target zone corresponding to the operating condition of the target device in the regional frosting map based on the detection parameter information includes: Based on the outdoor dry-bulb temperature and relative humidity of the detected parameters, the target zone is determined among multiple zones of the regional frost map.

4. The method according to any one of claims 1-3, characterized in that, After collecting the detection parameter information corresponding to the operation process of the target device, the method further includes: Obtain reference parameter information of the target device prior to a preset time interval; By comparing the reference parameter information and the detection parameter information, the parameter changes are obtained, and the defrosting action of the target device is adjusted accordingly based on the parameter changes.

5. The method according to claim 4, characterized in that, The step of comparing the reference parameter information and the detection parameter information to obtain the parameter changes, and then adjusting the defrosting action of the target device accordingly based on the parameter changes, includes: Compare the reference parameter information and the detection parameter information; If the change in the detection parameter information compared to the reference parameter information exceeds a set range, the defrosting time of the target device is re-predicted. If the detected parameter information does not change compared to the reference parameter information or the change is within the set range, the operating state of the target device remains unchanged.

6. A defrosting time prediction device, comprising one or more processors and a non-transitory computer-readable storage medium storing program instructions, wherein when the one or more processors execute the program instructions, the one or more processors are configured to implement the method according to any one of claims 1-5.

7. A non-transitory computer-readable storage medium having stored program instructions thereon, which, when executed by one or more processors, are configured to implement the method according to any one of claims 1-5.

8. An air conditioner, characterized in that, Includes the defrosting time prediction device of claim 6, or has the non-transitory computer-readable storage medium of claim 7.

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