Air output determination method and device, air conditioner and storage medium

Abstract

The invention relates to an air supply amount determining method and device, an air conditioner and a storage medium. The method comprises the steps that the relative air humidity of an air return opening and the temperature of an air outlet at the current moment are obtained, and the current air gear of an indoor unit is determined; determining an air volume correction coefficient according to the current air gear, the relative air humidity of the return air inlet and the temperature of the air outlet; and the target nominal air supply volume corresponding to the current air gear is obtained, and the air supply volume of the indoor unit is determined according to the air volume correction coefficient and the target nominal air supply volume. The air volume correction coefficient is determined according to the current air gear of the indoor unit, the air return port air relative humidity and the air outlet temperature, the air supply volume of the indoor unit is determined according to the target nominal air supply volume corresponding to the current air gear and the air volume correction coefficient, and therefore the actual air supply volume of the indoor unit under the wet working condition can be determined. Therefore, the accuracy of the calculated operation capability of the air conditioner is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, and in particular to a method and device for determining air supply volume, an air conditioner, and a storage medium. Background Art

[0002] With the rapid development of air conditioning technology, innovative features such as energy-saving functions, energy management, and visualization are increasingly being incorporated into air conditioning products. The implementation of these features is highly dependent on the operational capabilities of the air conditioner. These features not only help optimize energy-saving control by room, but also provide key support for the development of reasonable energy use plans and for users to clearly understand the energy status of buildings.

[0003] Currently, air conditioner operating capacity is often calculated using the wind-side method. This method calculates the enthalpy difference between the air at the air inlet and outlet of the indoor unit and combines it with the unit's nominal air delivery volume to determine operating capacity. The enthalpy value of the air at the indoor unit's inlet and outlet is calculated using data measured by temperature and humidity sensors installed at the return air vent and outlet.

[0004] However, under actual wet operating conditions, condensation easily forms on the indoor unit's heat exchanger surface, increasing wind resistance. Even if the indoor unit's fan speed remains constant, the unit's actual airflow rate will be significantly lower than the nominal airflow rate due to increased wind resistance, significantly compromising the accuracy of the air conditioner's operating capacity calculated using the traditional wind-side method. Summary of the Invention

[0005] To address the aforementioned technical problem of condensation easily forming on the surface of the indoor unit heat exchanger under actual wet operating conditions, resulting in increased wind resistance. Even if the indoor unit fan speed remains constant, the actual air volume of the indoor unit will be significantly lower than the nominal air volume due to the increased wind resistance, significantly reducing the accuracy of the air conditioner operating capacity calculated based on the traditional wind-side method. This application provides a method, device, air conditioner, and storage medium for determining the air volume. The specific technical solution is as follows:

[0006] In a first aspect, the present application provides a method for determining air supply volume, which is applied to an air conditioner, wherein an air relative humidity detection module is provided at the return air outlet of an indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit, and a temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. The method comprises:

[0007] Obtaining the current relative humidity of the return air outlet and the air outlet temperature, and determining the current windshield of the indoor unit;

[0008] Determining an air volume correction coefficient based on the current windshield, the relative humidity of the return air outlet, and the air outlet temperature;

[0009] The target nominal air supply volume corresponding to the current windshield is obtained, and the air supply volume of the indoor unit is determined according to the air volume correction coefficient and the target nominal air supply volume.

[0010] In an optional embodiment, determining the air volume correction coefficient according to the current windshield, the relative humidity of the return air outlet, and the air outlet temperature includes:

[0011] Obtaining a pre-trained air volume dynamic correction model set, wherein the pre-trained air volume dynamic correction model set includes a plurality of pre-trained air volume dynamic correction models;

[0012] Searching the pre-trained target wind volume dynamic correction model corresponding to the current windshield from the pre-trained wind volume dynamic correction model set;

[0013] The return air relative humidity and the outlet air temperature are input into the pre-trained target air volume dynamic correction model to obtain an air volume correction coefficient.

[0014] In an optional embodiment, determining the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume includes:

[0015] The air volume correction coefficient is multiplied by the target nominal air volume to obtain the air volume of the indoor unit.

[0016] In an optional embodiment, the pre-trained air volume dynamic correction model set is generated by:

[0017] For any windshield of the indoor unit, obtain a training sample corresponding to the windshield, the training sample including a sample return air relative humidity and a sample outlet air temperature;

[0018] Inputting the sample return air relative humidity and the sample outlet air temperature into the air volume dynamic correction model to obtain a predicted air volume correction coefficient;

[0019] Determining a coefficient loss between a sample air volume correction coefficient corresponding to the training sample and the predicted air volume correction coefficient;

[0020] The wind volume dynamic correction model is trained according to the coefficient loss, and when the coefficient loss converges, the training is stopped to obtain a pre-trained wind volume dynamic correction model corresponding to the windshield;

[0021] A pre-trained wind volume dynamic correction model set is formed according to the pre-trained wind volume dynamic correction model corresponding to each windshield.

[0022] In an optional embodiment, the training samples are generated in the following manner:

[0023] In the case where the indoor unit has a wet load, for any damper of the indoor unit, setting the indoor unit to the damper;

[0024] Collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit;

[0025] The sample return air relative humidity and the sample outlet air temperature are used as training samples of the windshield, and the nominal air supply volume corresponding to the windshield is obtained;

[0026] A sample air volume correction coefficient corresponding to the training sample is determined according to the actual air supply volume and the nominal air supply volume.

[0027] In an optional embodiment, before collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit, the method further includes:

[0028] Adjusting the operation mode of the indoor unit to the air supply mode, and detecting whether the deviation between the actual air supply volume and the nominal air supply volume corresponding to the windshield is less than a preset deviation threshold;

[0029] When the deviation is less than the preset deviation threshold, adjusting the operation mode of the indoor unit to a cooling mode;

[0030] Within a preset time, the step of collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit is performed.

[0031] In an optional embodiment, determining the sample air volume correction coefficient corresponding to the training sample based on the actual air volume and the nominal air volume includes:

[0032] The actual air supply volume is divided by the nominal air supply volume to obtain a sample air volume correction coefficient corresponding to the training sample.

[0033] In an optional embodiment, the nominal air supply volume is generated by:

[0034] Setting the operation mode of the indoor unit to the air supply mode, and setting any windshield of the indoor unit to the windshield;

[0035] The average air supply volumes of each of the plurality of preset time steps are collected, and the nominal air supply volume corresponding to the windshield is determined based on the plurality of the average air supply volumes.

[0036] In an optional embodiment, determining the nominal air supply volume corresponding to the windshield based on the multiple average air supply volumes includes:

[0037] determining a variance of a plurality of the average air supply volumes, and detecting whether the variance is less than a preset variance threshold;

[0038] When the variance is smaller than the preset variance threshold, an average value of the plurality of average air supply volumes is determined as the nominal air supply volume corresponding to the windshield.

[0039] In a second aspect, the present application provides an air supply volume determination device, which is applied to an air conditioner, wherein an air relative humidity detection module is provided at the return air outlet of an indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit, and a temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. The device comprises:

[0040] A parameter acquisition module, configured to obtain the relative humidity of the return air outlet and the air outlet temperature at the current moment, and determine the current windshield of the indoor unit;

[0041] A coefficient determination module, configured to determine an air volume correction coefficient based on the current windshield, the relative humidity of the return air outlet, and the air outlet temperature;

[0042] The air supply volume determination module is used to obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume.

[0043] In a third aspect, an air conditioner is provided, comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0044] Memory for storing computer programs;

[0045] The processor is configured to implement any of the air supply volume determination methods described in the first aspect above when executing a program stored in the memory.

[0046] In a fourth aspect, a storage medium is further provided, wherein instructions are stored in the storage medium, and when the storage medium is run on a computer, the computer executes any of the air supply volume determination methods described in the first aspect.

[0047] In a fifth aspect, a computer program product comprising instructions is also provided, which, when run on a computer, enables the computer to execute any of the above-mentioned methods for determining the air supply volume.

[0048] The above-mentioned technical solution provided by the embodiment of the present application has the following advantages compared with the existing technology: the method for determining the air supply volume provided by the embodiment of the present application obtains the relative humidity of the return air outlet air and the air outlet temperature at the current moment, and determines the current windshield of the indoor unit. According to the current windshield, the relative humidity of the return air outlet air and the air outlet temperature, the air volume correction coefficient is determined, and the target nominal air supply volume corresponding to the current windshield is obtained. According to the air volume correction coefficient and the target nominal air supply volume, the air supply volume of the indoor unit is determined.

[0049] The air volume correction coefficient is determined by the current windshield of the indoor unit, the relative humidity of the return air outlet, and the outlet temperature. The air volume of the indoor unit is determined based on the target nominal air volume corresponding to the current windshield and the air volume correction coefficient. In this way, the actual air volume of the indoor unit under wet working conditions can be determined, and the accuracy of the calculated air conditioning operating capacity is guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0052] One or more embodiments are exemplarily illustrated by pictures in the corresponding drawings. These exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0053] Figure 1 A schematic diagram of an implementation flow of a method for determining air supply volume provided in an embodiment of the present application;

[0054] Figure 2 A schematic diagram of an implementation flow of another method for determining the air supply volume provided in an embodiment of the present application;

[0055] Figure 3 A schematic diagram of an implementation flow of a method for generating a pre-trained air volume dynamic correction model set provided in an embodiment of the present application;

[0056] Figure 4 A schematic diagram of an implementation flow of a training sample generation method provided in an embodiment of the present application;

[0057] Figure 5 A schematic diagram of an implementation flow of a method for generating a nominal air supply volume provided in an embodiment of the present application;

[0058] Figure 6 A schematic diagram of an implementation flow of another method for determining the air supply volume provided in an embodiment of the present application;

[0059] Figure 7 A schematic structural diagram of an air supply volume determination device provided in an embodiment of the present application;

[0060] Figure 8 A schematic structural diagram of an air conditioner provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0062] The disclosure below provides many different embodiments or examples for implementing different structures of the present application. In order to simplify the disclosure of the present application, the components and settings of specific examples are described below. Of course, these are merely examples and are not intended to limit the present application. In addition, the present application may repeat reference numbers and / or letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed.

[0063] like Figure 1 FIG. 1 is a schematic diagram of an implementation flow of a method for determining an air supply volume provided in an embodiment of the present application. The method is applied to an air conditioner. An air relative humidity detection module is provided at the return air outlet of the indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit. A temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. Specifically, the method may include the following steps:

[0064] S101, obtaining the current relative humidity of the return air outlet and the air outlet temperature, and determining the current windshield of the indoor unit.

[0065] In an embodiment of the present application, the relative humidity of the return air outlet and the air outlet temperature at the current moment are obtained, and the current windshield of the indoor unit is determined.

[0066] For example, the relative humidity of the return air outlet is 50% (0.5) and the air outlet temperature is 13° C. at the current moment, and the current windshield of the indoor unit is determined to be 5.

[0067] S102, determining an air volume correction coefficient according to the current windshield, relative humidity of the return air outlet, and air outlet temperature.

[0068] In an embodiment of the present application, for the return air relative humidity and outlet temperature obtained in the above steps, and the current windshield of the indoor unit determined, the air volume correction coefficient can be determined based on the current windshield, return air relative humidity and outlet temperature.

[0069] For example, assuming that the relative humidity of the return air is 50% (0.5), the outlet temperature is 13°C, and the current windshield of the indoor unit is 5, the air volume correction coefficient is determined to be 0.74 based on the current windshield, the relative humidity of the return air, and the outlet temperature.

[0070] S103: Obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume.

[0071] In an embodiment of the present application, for the current windshield of the indoor unit, the target nominal air supply volume corresponding to the current windshield is obtained, and the air supply volume of the indoor unit is determined based on the air volume correction coefficient and the target nominal air supply volume. The air supply volume is the actual air supply volume under the wet working condition of the indoor unit.

[0072] For example, if the current windshield of the indoor unit is 5, then the target nominal air supply volume corresponding to the current windshield is 810m 3 / h, the air volume correction coefficient is 0.74, then the air volume of the indoor unit is determined according to the air volume correction coefficient and the target nominal air volume. The two can be multiplied to obtain the air volume of the indoor unit, that is, the air volume of the indoor unit is 810×0.74=599m 3 / h.

[0073] Through the above description of the technical solution provided in the embodiment of the present application, the relative humidity of the return air outlet and the outlet temperature at the current moment are obtained, and the current windshield of the indoor unit is determined. According to the current windshield, the relative humidity of the return air outlet and the outlet temperature, the air volume correction coefficient is determined, and the target nominal air supply volume corresponding to the current windshield is obtained. According to the air volume correction coefficient and the target nominal air supply volume, the air supply volume of the indoor unit is determined.

[0074] The air volume correction coefficient is determined by the current windshield of the indoor unit, the relative humidity of the return air outlet, and the outlet temperature. The air volume of the indoor unit is determined based on the target nominal air volume corresponding to the current windshield and the air volume correction coefficient. In this way, the actual air volume of the indoor unit under wet working conditions can be determined, and the accuracy of the calculated air conditioning operating capacity is guaranteed.

[0075] In addition, in an embodiment of the present application, a corresponding air volume dynamic correction model is pre-trained for each windshield of the indoor unit. Therefore, the relative humidity of the return air outlet and the air outlet temperature at the current moment are input into the air volume dynamic correction model under the corresponding windshield to obtain the air volume correction coefficient, which is then multiplied by the nominal air supply volume under the corresponding windshield to calculate the actual air supply volume of the indoor unit at the current moment.

[0076] Based on this, Figure 2 FIG. 1 is a schematic diagram of an implementation flow of another method for determining the air supply volume provided in an embodiment of the present application. The method is applied to an air conditioner. An air relative humidity detection module is provided at the return air outlet of the indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit. A temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. Specifically, the method may include the following steps:

[0077] S201, obtaining the current relative humidity of the return air outlet and the air outlet temperature, and determining the current windshield of the indoor unit.

[0078] In the embodiment of the present application, this step is similar to the above-mentioned step S101, and the embodiment of the present application will not be described in detail here.

[0079] S202: Obtain a pre-trained air volume dynamic correction model set, wherein the pre-trained air volume dynamic correction model set includes multiple pre-trained air volume dynamic correction models.

[0080] In an embodiment of the present application, a pre-trained air volume dynamic correction model set is obtained, wherein the pre-trained air volume dynamic correction model set includes multiple pre-trained air volume dynamic correction models, and each pre-trained air volume dynamic correction model corresponds to a windshield of the indoor unit, which means that the windshield of the indoor unit corresponds one-to-one to the pre-trained air volume dynamic correction model.

[0081] It should be noted that the airflow attenuation characteristics vary significantly across different windshields. Therefore, it is necessary to design a pre-trained dynamic airflow correction model for each windshield in the indoor unit. The specific reasons for the significant differences in airflow attenuation characteristics across different windshields are as follows.

[0082] Differences in fluid mechanics: When the windshield is high, the fan speed is fast, the turbulence intensity is large when the air flows through the duct, and the friction loss with the duct wall is higher. The air volume attenuation rate (actual air volume / theoretical air volume) may be lower. When the windshield is low, the air flow speed is slow and the turbulence effect is weak, but the attenuation rate may be different due to the offset of the fan efficiency range.

[0083] Equipment physical characteristics: Duct design: Under different wind speeds, the vortex and pressure distribution in the duct change, resulting in nonlinear air volume attenuation; fan characteristics: the wind pressure-air volume curve of the fan at different speeds is different, which requires targeted correction.

[0084] Influence of environmental factors: High windshields are more sensitive to airflow disturbances caused by indoor obstacles (such as furniture) and have greater attenuation fluctuations; low windshields are more significantly affected by indoor natural convection and have different attenuation patterns.

[0085] S203: Searching for a pre-trained target air volume dynamic correction model corresponding to the current windshield from a set of pre-trained air volume dynamic correction models.

[0086] In an embodiment of the present application, for a pre-trained air volume dynamic correction model set, the pre-trained air volume dynamic correction model set includes multiple pre-trained air volume dynamic correction models, and each pre-trained air volume dynamic correction model corresponds to a windshield of the indoor unit, so the pre-trained target air volume dynamic correction model corresponding to the current windshield is searched from the pre-trained air volume dynamic correction model set.

[0087] For example, the pre-trained air volume dynamic correction model set includes multiple pre-trained air volume dynamic correction models, and each pre-trained air volume dynamic correction model corresponds to a windshield of the indoor unit, as shown in Table 1 below. Assuming that the current windshield of the indoor unit is 2, the pre-trained air volume dynamic correction model B corresponding to the current windshield 2 is searched from the pre-trained air volume dynamic correction model set and used as the pre-trained target air volume dynamic correction model.

[0088] windshield Pre-trained air volume dynamic correction model 1 Pre-trained air volume dynamic correction model A 2 Pre-trained air volume dynamic correction model B …… ……

[0089] Table 1

[0090] S204: Input the return air relative humidity and the outlet air temperature into a pre-trained target air volume dynamic correction model to obtain an air volume correction coefficient.

[0091] In an embodiment of the present application, the return air relative humidity and outlet temperature obtained in the above steps can be input into a pre-trained target air volume dynamic correction model to obtain an air volume correction coefficient.

[0092] For example, the above-mentioned pre-trained air volume dynamic correction model B is a pre-trained target air volume dynamic correction model. The return air relative humidity and the outlet air temperature can be input into the pre-trained air volume dynamic correction model B to obtain an air volume correction coefficient of 0.74.

[0093] For example, the pre-trained dynamic air volume correction model B is z = a*x + b*y + c, where z is the air volume correction coefficient, x is the outlet temperature, y is the return air relative humidity, and a, b, and c are constants. Assuming a is 0.012, b is 0.563, and c is 0.379, the return air relative humidity is 50% (0.5), and the outlet temperature is 13°C, then inputting the return air relative humidity and outlet temperature into the pre-trained dynamic air volume correction model B yields an air volume correction coefficient of 0.74.

[0094] S205: Obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume.

[0095] In the embodiment of the present application, the target nominal air supply volume corresponding to the current windshield is obtained, and the air supply volume of the indoor unit is determined based on the air volume correction coefficient and the target nominal air supply volume. The air supply volume of the indoor unit is obtained by multiplying the air volume correction coefficient by the target nominal air supply volume.

[0096] For example, if the current windshield of the indoor unit is 5, then the target nominal air supply volume corresponding to the current windshield is 810m 3 / h, the air volume correction coefficient is 0.74, then multiply the air volume correction coefficient by the target nominal air volume to obtain the air volume of the indoor unit, that is, the air volume of the indoor unit is 810×0.74=599m 3 / h.

[0097] In this way, for each air conditioner indoor unit windshield, the air volume dynamic correction model under the corresponding windshield is selected, and the return air relative humidity and outlet temperature at the current moment are input into the air volume dynamic correction model under the corresponding windshield to obtain the air volume correction coefficient, which is then multiplied by the nominal air supply volume under the corresponding windshield to calculate the actual air supply volume of the indoor unit at the current moment. The accuracy of the calculated air conditioner operating capacity is guaranteed.

[0098] In addition, in the embodiment of the present application, the pre-trained air volume dynamic correction model corresponding to each windshield of the indoor unit needs to be obtained through training, thereby forming a pre-trained air volume dynamic correction model set.

[0099] Based on this, Figure 3 FIG. 1 is a schematic diagram of an implementation process of a method for generating a pre-trained air volume dynamic correction model set provided in an embodiment of the present application. The method is applied to air conditioners and may specifically include the following steps:

[0100] S301: For any windshield of the indoor unit, obtain a training sample corresponding to the windshield, where the training sample includes a sample return air relative humidity and a sample outlet air temperature.

[0101] In an embodiment of the present application, there are usually multiple windshields for an air-conditioning indoor unit, and thus a training sample corresponding to any windshield of the indoor unit is obtained, wherein the training sample includes the sample return air relative humidity, the sample outlet temperature, and the training sample also has a corresponding sample air volume correction coefficient.

[0102] For example, for any windshield of the indoor unit, a training sample corresponding to the windshield is obtained, wherein the training sample includes a sample return air relative humidity of 50% (0.5), a sample outlet temperature of 13°C, and the training sample also has a corresponding sample air volume correction coefficient, and the sample air volume correction coefficient is 0.74.

[0103] S302: Input the sample return air relative humidity and the sample outlet air temperature into the air volume dynamic correction model to obtain the predicted air volume correction coefficient.

[0104] In an embodiment of the present application, for the sample return air relative humidity and sample outlet temperature contained in the training samples obtained above, the sample return air relative humidity and sample outlet temperature are input into the air volume dynamic correction model to obtain the predicted air volume correction coefficient.

[0105] It should be noted that the wind volume dynamic correction model can correspond one-to-one to the windshield, which means that the wind volume dynamic correction model corresponding to each windshield is different. Of course, all windshields can also correspond to one wind volume dynamic correction model, that is, during the training phase, each windshield is trained using a unified wind volume dynamic correction model, and the trained wind volume dynamic correction model corresponds one-to-one to the windshield. The embodiments of the present application do not limit this.

[0106] S303: Determine the coefficient loss between the sample air volume correction coefficient corresponding to the training sample and the predicted air volume correction coefficient.

[0107] In an embodiment of the present application, for a training sample, there is a corresponding sample air volume correction coefficient, for example, 0.74, and the coefficient loss between the sample air volume correction coefficient corresponding to the training sample and the predicted air volume correction coefficient is determined.

[0108] It should be noted that, for determining the coefficient loss between the sample air volume correction coefficient corresponding to the training sample and the predicted air volume correction coefficient, a mature loss function currently available on the market can be used, and the embodiments of the present application do not limit this.

[0109] S304 , training the wind volume dynamic correction model according to the coefficient loss, and stopping the training when the coefficient loss converges, to obtain a pre-trained wind volume dynamic correction model corresponding to the windshield.

[0110] In an embodiment of the present application, for the coefficient loss between the sample air volume correction coefficient corresponding to the training sample determined above and the predicted air volume correction coefficient, the air volume dynamic correction model can be trained based on the coefficient loss, and when the coefficient loss converges (for example, the coefficient loss is less than a certain threshold), the training is stopped to obtain a pre-trained air volume dynamic correction model corresponding to the windshield.

[0111] S305 , forming a pre-trained wind volume dynamic correction model set based on the pre-trained wind volume dynamic correction models corresponding to the respective windshields.

[0112] In an embodiment of the present application, through the above steps, a pre-trained wind volume dynamic correction model corresponding to each windshield can be obtained, thereby forming a pre-trained wind volume dynamic correction model set based on the pre-trained wind volume dynamic correction model corresponding to each windshield.

[0113] For example, as shown in Table 1 above, windshield 1 corresponds to the pre-trained wind volume dynamic correction model A, windshield 2 corresponds to the pre-trained wind volume dynamic correction model B, ..., thus forming a pre-trained wind volume dynamic correction model set based on the pre-trained wind volume dynamic correction models corresponding to each windshield.

[0114] In addition, in the embodiment of the present application, for the training samples of each windshield, the following can be used: Figure 4 The method shown is generated. Figure 4 FIG. 1 is a schematic diagram of an implementation flow of a training sample generation method provided in an embodiment of the present application. The method is applied to air conditioners and may specifically include the following steps:

[0115] S401: When there is a wet load on the indoor unit, for any windshield of the indoor unit, the indoor unit is set as a windshield.

[0116] S402, collecting sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit.

[0117] S403: Using the sample return air relative humidity and the sample outlet air temperature as training samples for the windshield, and obtaining the nominal air supply volume corresponding to the windshield.

[0118] S404: Determine a sample air volume correction coefficient corresponding to the training sample according to the actual air supply volume and the nominal air supply volume.

[0119] In this embodiment, an air conditioner is adjusted to a wet cooling condition. This adjustment method involves placing the air conditioner in a laboratory, adjusting the indoor and outdoor ambient temperatures and the air conditioner setpoint temperature to ensure a wet load on the indoor unit. The indoor unit is then simulated with multiple windshields installed. Sample return air relative humidity, sample outlet temperature, and actual air volume are collected for each windshield. Training samples and their corresponding sample air volume correction coefficients are then generated.

[0120] To this end, when there is a wet load on the indoor unit, the indoor unit is set to any windshield of the indoor unit, and then the sample return air outlet air relative humidity, sample outlet temperature and actual air supply volume of the indoor unit are collected. The sample return air outlet air relative humidity and sample outlet temperature are used as training samples of the windshield, and the nominal air supply volume corresponding to the windshield is obtained. According to the actual air supply volume and the nominal air supply volume, the sample air volume correction coefficient corresponding to the training sample is determined.

[0121] Among them, when the simulation operation is performed on each windshield, it is necessary to set it to the air supply mode before starting the operation to blow dry the condensed water attached to the surface of the heat exchanger. That is, when the deviation between the measured air supply volume and the nominal air supply volume under the current windshield is less than n (for example, n can be 1%, 2%, etc.), it means that the condensed water has been blown dry. Then it is set to the cooling mode and it needs to run continuously for n unit time steps after starting (n can be 1 hour, 2 hours, 3 hours, etc.). During this period, the sample return air relative humidity, sample outlet temperature and actual air supply volume of the indoor unit are collected.

[0122] To this end, when there is a wet load on the indoor unit, for any windshield of the indoor unit, the indoor unit is set to the windshield, the operation mode of the indoor unit is adjusted to the air supply mode, and it is detected whether the deviation between the actual air supply volume and the nominal air supply volume corresponding to the windshield is less than the preset deviation threshold. When the deviation is less than the preset deviation threshold, the operation mode of the indoor unit is adjusted to the cooling mode. Within the preset time, the sample return air outlet air relative humidity, sample air outlet temperature and actual air supply volume of the indoor unit are collected, and the sample return air outlet air relative humidity and sample air outlet temperature are used as training samples of the windshield, and the nominal air supply volume corresponding to the windshield is obtained. According to the actual air supply volume and the nominal air supply volume, the sample air volume correction coefficient corresponding to the training sample is determined.

[0123] For example, by setting the laboratory working condition machine, the outdoor temperature is kept at 28℃, the indoor temperature is kept at 21℃, the indoor unit is set to wind gear 5, and the indoor unit is set to air supply mode. When the measured air supply volume is 800m 3 / h and the nominal air supply volume under this wind gear is 810m 3If the deviation is 1.23% per hour and less than 2%, the air conditioner can be set to cooling mode to start the simulation. Run continuously for 2 hours during this period. During this time, the sample return air relative humidity, sample outlet temperature, and actual air supply volume of the indoor unit are collected in real time. The sample return air relative humidity and sample outlet temperature are used as training samples for the windshield. The nominal air supply volume corresponding to the windshield is obtained. Based on the actual air supply volume and the nominal air supply volume, the sample air volume correction coefficient corresponding to the training sample is determined. After switching the windshield, the above process is repeated.

[0124] It should be noted that, for the sample air volume correction coefficient corresponding to the training sample, the actual air supply volume can be divided by the nominal air supply volume to obtain the sample air volume correction coefficient corresponding to the training sample, which is not limited in the embodiment of the present application.

[0125] In addition, in the embodiment of the present application, the nominal air supply volume corresponding to each windshield can be calculated as follows: Figure 5 The method shown is generated. Figure 5 FIG. 1 is a schematic diagram of an implementation flow of a method for generating a nominal air supply volume provided in an embodiment of the present application. The method is applied to an air conditioner and may specifically include the following steps:

[0126] S501, setting the operation mode of the indoor unit to the air supply mode, and setting any windshield of the indoor unit to the windshield.

[0127] S502 , collecting the average air supply volumes of each of the plurality of preset time steps, and determining the nominal air supply volume corresponding to the windshield based on the plurality of average air supply volumes.

[0128] In an embodiment of the present application, for a certain model of air-conditioning indoor unit, the operating mode of the indoor unit is set to the air supply mode. For any windshield of the indoor unit, the indoor unit is set to the windshield, and the average air supply volume of each of the multiple preset time steps is collected. Based on the multiple average air supply volumes, the nominal air supply volume corresponding to the windshield is determined.

[0129] For each of the average air supply volumes within multiple preset time steps, air volume fluctuations need to be detected. When the air volume fluctuations are small, the nominal air supply volume corresponding to the windshield is determined based on the multiple average air supply volumes. The air volume fluctuations are reflected in the form of variance, which is not limited in this embodiment of the application.

[0130] To this end, the variance of the multiple average air supply volumes is determined, and it is detected whether the variance is less than a preset variance threshold. When the variance is less than the preset variance threshold, the average value of the multiple average air supply volumes is determined as the nominal air supply volume corresponding to the windshield.

[0131] For example, an air conditioner indoor unit has 1 to 7 fan gears. If the wind speed is set to 5 and it is in air supply mode, the average air supply volume per minute measured by the air volume detection instrument within 3 minutes is 800m3 and 800m4, respectively. 3 / h、810m 3 / h and 820m 3 / h, the air volume fluctuation is less than 2%, then the nominal air volume of the indoor unit at wind gear 5 is 810m 3 / h.

[0132] The following describes a method for determining the air supply volume provided by the embodiment of the present application in conjunction with specific embodiments. Figure 6 As shown, the following steps may be specifically included:

[0133] S601: Arrange a collection module in the air conditioner indoor unit to collect the operating data of the air conditioner indoor unit in real time, including: relative humidity of return air outlet and air outlet temperature.

[0134] The indoor unit of the air conditioner is equipped with a real-time operation data acquisition device for the air conditioner: an air relative humidity detection device is installed at the return air outlet of the unit to measure the relative humidity of the air at the return air outlet; a temperature sensing package is installed at the air outlet of the unit to measure the air outlet temperature of the air conditioner.

[0135] S602, for air conditioner indoor units at different indoor unit wind speeds, set air supply modes in a laboratory and measure corresponding nominal air supply volumes.

[0136] For a certain model of air conditioner indoor unit, different wind speeds can be set. The air conditioner is set at different wind speeds and the operation mode is set to air supply mode. After the operation is stable, the real-time air supply volume is tested by the laboratory air volume detection instrument within n unit time steps (n can be 1 minute, 2 minutes, etc.). The air volume fluctuation is lower than x, and the average air supply volume within the time step is defined as the nominal air volume. For example, an air conditioner indoor unit has a total of 7 fan speeds, 1-7, and the wind speed is set to 5 and in air supply mode. The average air supply volume per minute measured by the air volume tester within 3 minutes is 800m3 and 800m4, respectively. 3 / h、810m 3 / h and 820m 3 / h, and the air volume fluctuation is less than 2%, then the nominal air volume of the indoor unit at windshield 5 is 810m 3 / h.

[0137] S603, for the air conditioner indoor unit at different indoor unit wind speeds, perform wet working condition simulation operation in the laboratory, and save the measured real-time air outlet temperature data, real-time return air outlet air relative humidity data, and real-time air supply volume data.

[0138] The air conditioning working condition is adjusted to the cooling wet condition. The adjustment method is to set the indoor and outdoor ambient temperature and the air conditioning set temperature to ensure that the indoor unit has a wet load; set multiple indoor unit wind speeds for laboratory simulation operation, and collect the real-time outlet air temperature, real-time return air relative humidity and real-time supply air volume of the indoor unit under each wind speed experimental simulation. Under each wind speed experimental simulation, before starting the operation, it is necessary to set it to the supply air mode to blow dry the condensed water attached to the surface of the heat exchanger. That is, when the deviation between the measured supply air volume and the nominal air volume under the current wind speed is less than n (n can be 1%, 2%, etc.), it means that the condensed water has been blown dry; after setting it to the cooling mode and starting it, it needs to run continuously for n unit time steps (n can be 1 hour, 2 hours, 3 hours, etc.). For example, by setting the laboratory working condition machine, the outdoor temperature is maintained at 28℃, the indoor temperature is maintained at 21℃, the indoor unit is set to wind speed 5, and the indoor unit is first set to the supply air mode. When the measured supply air volume is 800m 3 / h and the nominal air supply volume under this wind gear is 810m 3 The deviation of 1.23% per hour is less than 2%. The air conditioner can be set to cooling mode to start the simulation. Run it continuously for 2 hours, during which time the outlet air temperature, return air relative humidity, and actual air volume data are collected in real time. After switching the wind speed, repeat the above process.

[0139] S604: Calculate the real-time air volume correction coefficient based on the experimentally measured air conditioning wet condition operation data, select the real-time return air relative humidity and the real-time outlet air temperature as characteristic parameters, and establish a mapping relationship with the real-time air volume correction coefficient.

[0140] The following processing is performed on the air outlet temperature data, return air relative humidity and actual air supply volume data collected at different wind speeds:

[0141] Calculate the real-time air volume correction factor:

[0142]

[0143] Where K n,t , Q n,t , Q n,0 They respectively represent the air volume correction coefficient at time t under the indoor unit wind speed n, the measured air supply volume and the nominal air supply volume under the wind speed.

[0144] Determine the mathematical mapping relationship between the outlet air temperature, return air relative humidity, and air volume correction factor for each wind speed setting. For example, when the air conditioner is at wind speed setting 5, the mathematical mapping relationship between the air volume correction factor, the outlet air temperature, and the return air relative humidity is: z = a*x + b*y + c (z represents the air volume correction factor, x represents the outlet air temperature, y represents the return air relative humidity, and a, b, and c are constants). For example, if a is 0.012, b is 0.563, and c is 0.379, and the real-time collected outlet air temperature data is 13°C and the return air relative humidity is 50% (0.5), the calculated measured air volume correction factor is 0.74.

[0145] S605 , based on the wind speed of the indoor unit, select the air volume correction coefficient mapping function at the corresponding wind speed to achieve real-time calculation of the air supply volume under the wet working condition of the air conditioner.

[0146] For each air conditioner indoor unit wind speed, select the air volume correction coefficient calculation function under the corresponding wind speed, substitute the current real-time air outlet temperature and return air relative humidity into the function to calculate the real-time air volume correction coefficient, and then multiply it by the current nominal air volume of the corresponding wind speed to calculate the real-time air volume at the current moment. For example, the current wind speed is 5 and the nominal air volume is 810m 3 / h, the real-time air volume correction coefficient is calculated to be 0.74, so the real-time air volume is 810×0.74=599m 3 / h.

[0147] Corresponding to the above method embodiment, the embodiment of the present application further provides an air supply volume determination device, which is applied to an air conditioner, wherein an air relative humidity detection module is provided at the return air outlet of the indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit, and a temperature detection module is provided at the air outlet of the indoor unit to detect the outlet temperature of the indoor unit. Figure 7 As shown, the device may include: a parameter acquisition module 710, a coefficient determination module 720, and an air supply volume determination module 730.

[0148] The parameter acquisition module 710 is used to obtain the relative humidity of the return air outlet and the air outlet temperature at the current moment, and determine the current windshield of the indoor unit;

[0149] A coefficient determination module 720 is configured to determine an air volume correction coefficient based on the current windshield, the relative humidity of the return air outlet, and the air outlet temperature;

[0150] The air supply volume determination module 730 is configured to obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume.

[0151] The embodiment of the present application also provides an air conditioner, such as Figure 8 As shown, it includes a processor 81, a communication interface 82, a memory 83 and a communication bus 84, wherein the processor 81, the communication interface 82, and the memory 83 communicate with each other through the communication bus 84.

[0152] Memory 83, for storing computer programs;

[0153] The processor 81 is configured to execute the program stored in the memory 83 by performing the following steps:

[0154] Obtain the return air relative humidity and the outlet temperature at the current moment, and determine the current windshield of the indoor unit; determine the air volume correction coefficient based on the current windshield, the return air relative humidity and the outlet temperature; obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit based on the air volume correction coefficient and the target nominal air supply volume.

[0155] The communication bus mentioned in the air conditioner above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. This communication bus can be divided into address buses, data buses, control buses, etc. For ease of illustration, the figure shows only one thick line, but this does not mean that there is only one bus or only one type of bus.

[0156] The communication interface is used for communication between the above air conditioner and other devices.

[0157] The memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage. Alternatively, the memory may be at least one storage device located away from the processor.

[0158] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.

[0159] In another embodiment provided in the present application, a storage medium is further provided, in which instructions are stored. When the storage medium is run on a computer, the computer executes the air supply volume determination method described in any of the above embodiments.

[0160] In another embodiment provided in the present application, a computer program product including instructions is also provided, which, when executed on a computer, enables the computer to execute the air supply volume determination method described in any one of the above embodiments.

[0161] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a storage medium or transmitted from one storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0162] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0163] Each embodiment in this specification is described in a related manner. Similar parts between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the system embodiment is generally similar to the method embodiment, so the description is relatively simple. For related parts, refer to the description of the method embodiment.

[0164] The above description is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application are included in the scope of protection of the present application.

Claims

1. A method for determining air supply volume, characterized in that: Applied to an air conditioner, an air relative humidity detection module is provided at the return air outlet of the indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit, and a temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. The method includes: Obtaining the current relative humidity of the return air outlet and the air outlet temperature, and determining the current windshield of the indoor unit; Determining an air volume correction coefficient based on the current windshield, the relative humidity of the return air outlet, and the air outlet temperature; The target nominal air supply volume corresponding to the current windshield is obtained, and the air supply volume of the indoor unit is determined according to the air volume correction coefficient and the target nominal air supply volume.

2. The method according to claim 1, characterized in that The determining of the air volume correction coefficient according to the current windshield, the relative humidity of the return air outlet, and the air outlet temperature includes: Obtaining a pre-trained air volume dynamic correction model set, wherein the pre-trained air volume dynamic correction model set includes a plurality of pre-trained air volume dynamic correction models; Searching the pre-trained target wind volume dynamic correction model corresponding to the current windshield from the pre-trained wind volume dynamic correction model set; The return air relative humidity and the outlet air temperature are input into the pre-trained target air volume dynamic correction model to obtain an air volume correction coefficient.

3. The method according to claim 1, characterized in that The determining the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume includes: The air volume correction coefficient is multiplied by the target nominal air volume to obtain the air volume of the indoor unit.

4. The method according to claim 2, characterized in that The pre-trained air volume dynamic correction model set is generated in the following way: For any windshield of the indoor unit, obtain a training sample corresponding to the windshield, the training sample including a sample return air relative humidity and a sample outlet air temperature; Inputting the sample return air relative humidity and the sample outlet air temperature into the air volume dynamic correction model to obtain a predicted air volume correction coefficient; Determining a coefficient loss between a sample air volume correction coefficient corresponding to the training sample and the predicted air volume correction coefficient; The wind volume dynamic correction model is trained according to the coefficient loss, and when the coefficient loss converges, the training is stopped to obtain a pre-trained wind volume dynamic correction model corresponding to the windshield; A pre-trained wind volume dynamic correction model set is formed according to the pre-trained wind volume dynamic correction model corresponding to each windshield.

5. The method according to claim 4, characterized in that The training samples are generated in the following way: In the case where the indoor unit has a wet load, for any damper of the indoor unit, setting the indoor unit to the damper; Collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit; The sample return air relative humidity and the sample outlet air temperature are used as training samples of the windshield, and the nominal air supply volume corresponding to the windshield is obtained; A sample air volume correction coefficient corresponding to the training sample is determined according to the actual air supply volume and the nominal air supply volume.

6. The method according to claim 5, characterized in that Before collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit, the method further includes: Adjusting the operation mode of the indoor unit to the air supply mode, and detecting whether the deviation between the actual air supply volume and the nominal air supply volume corresponding to the windshield is less than a preset deviation threshold; When the deviation is less than the preset deviation threshold, adjusting the operation mode of the indoor unit to a cooling mode; Within a preset time, the step of collecting the sample return air relative humidity, sample outlet air temperature and actual air supply volume of the indoor unit is performed.

7. The method according to claim 5, characterized in that The determining, based on the actual air supply volume and the nominal air supply volume, a sample air volume correction coefficient corresponding to the training sample includes: The actual air supply volume is divided by the nominal air supply volume to obtain a sample air volume correction coefficient corresponding to the training sample.

8. The method according to claim 5, characterized in that The nominal air supply volume is generated by: Setting the operation mode of the indoor unit to the air supply mode, and setting any windshield of the indoor unit to the windshield; The average air supply volumes of each of the plurality of preset time steps are collected, and the nominal air supply volume corresponding to the windshield is determined based on the plurality of the average air supply volumes.

9. The method according to claim 8, characterized in that Determining the nominal air supply volume corresponding to the windshield according to the plurality of average air supply volumes includes: determining a variance of a plurality of the average air supply volumes, and detecting whether the variance is less than a preset variance threshold; When the variance is smaller than the preset variance threshold, an average value of the plurality of average air supply volumes is determined as the nominal air supply volume corresponding to the windshield.

10. A device for determining air supply volume, characterized in that: Applied to an air conditioner, an air relative humidity detection module is provided at the return air outlet of the indoor unit of the air conditioner to detect the relative humidity of the return air outlet of the indoor unit, and a temperature detection module is provided at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit. The device includes: A parameter acquisition module, configured to obtain the relative humidity of the return air outlet and the air outlet temperature at the current moment, and determine the current windshield of the indoor unit; A coefficient determination module, configured to determine an air volume correction coefficient based on the current windshield, the relative humidity of the return air outlet, and the air outlet temperature; The air supply volume determination module is used to obtain the target nominal air supply volume corresponding to the current windshield, and determine the air supply volume of the indoor unit according to the air volume correction coefficient and the target nominal air supply volume.

11. An air conditioner, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory for storing computer programs; A processor, configured to implement the method according to any one of claims 1 to 9 when executing a program stored in a memory.

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

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