Multi-split air conditioner, return air relative humidity calculation method of multi-split air conditioner, storage medium and calculation device

Abstract

The invention relates to a multi-split air conditioner humidity calculation technology, in particular to a multi-split air conditioner, a return air relative humidity calculation method of the multi-split air conditioner, a storage medium and a calculation device. The multi-split air conditioner comprises a reference indoor unit and a correction indoor unit, the reference indoor unit is provided with a return air humidity sensor, and the method comprises the steps that the air supply volume air quantity, the air supply relative humidity, the air supply temperature, the return air temperature and the total refrigerating capacity of the multi-split air conditioner in the running state are obtained, and the return air relative humidity measured value of the reference indoor unit is obtained through the return air humidity sensor, the indoor units in the running state comprise a reference indoor unit and a correction indoor unit; according to the air supply volume air quantity, the air supply relative humidity, the air supply temperature, the air return temperature and the total refrigerating capacity, the indoor unit air return relative humidity calculation initial value is determined; determining a return air relative humidity correction value based on the reference indoor unit return air relative humidity calculation initial value and the return air relative humidity measurement value; and according to the return air relative humidity correction value, the return air relative humidity calculation initial value of the correction indoor unit in the operation state is corrected.

Description

Technical Field

[0001] This invention relates to multi-split humidity calculation technology, and more particularly to a method for calculating the return air relative humidity of a multi-split indoor unit, a computer-readable storage medium, a device for calculating the return air relative humidity of a multi-split indoor unit, and a multi-split air conditioner. Background Technology

[0002] Currently, people's demand for air conditioners is no longer limited to basic cooling, heating, energy saving, and comfort. Instead, they are increasingly focusing on the precise regulation of indoor humidity, especially in the dry climate of the north and the humid climate of the south. Humidifying and dehumidifying with air conditioners can effectively improve people's living experience. Therefore, air conditioners with humidity control capabilities are gradually becoming the mainstream demand in the market.

[0003] However, in related technologies, most air conditioner indoor units are not equipped with temperature and humidity sensors. If humidity regulation is achieved through the coordinated operation of multiple indoor units, sensors usually need to be installed in multiple locations, which leads to a significant increase in hardware costs and makes the system layout and subsequent maintenance more complex. These problems not only increase the consumer burden but also bring practical difficulties to the market promotion of the product. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in related technologies. Therefore, the first objective of this invention is to propose a method for calculating the return air relative humidity of a multi-split air conditioning unit, enabling the multi-split air conditioning system to accurately determine the humidity values ​​of multiple indoor units with only one set of temperature and humidity sensors, effectively saving on the manufacturing and maintenance costs of multi-split air conditioning systems.

[0005] According to an embodiment of the present invention, a method for calculating the return air relative humidity of a multi-split indoor unit includes a reference indoor unit and multiple correction indoor units. The reference indoor unit is equipped with a return air humidity sensor. The method includes: acquiring the supply air volumetric air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity of the multi-split system of the indoor units in operation; and acquiring the measured return air relative humidity of the reference indoor unit through the return air humidity sensor. The indoor units in operation include the reference indoor unit and the correction indoor units. An initial value for calculating the return air relative humidity of the indoor units in operation is determined based on the supply air volumetric air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity. A correction value for the return air relative humidity is determined based on the initial value and the measured value of the return air relative humidity of the reference indoor unit. The initial value for calculating the return air relative humidity of the correction indoor units in operation is corrected based on the correction value.

[0006] According to an embodiment of the present invention, a method for calculating the return air relative humidity of a multi-split indoor unit determines an initial value for the return air relative humidity of the indoor unit in operation based on the supply air volumetric volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity. The method includes: determining the sensible heat capacity of the indoor unit based on the supply air volumetric ...

[0007] According to an embodiment of the present invention, a method for calculating the return air relative humidity of a multi-split indoor unit, based on an initial value of the return air relative humidity of a reference indoor unit and a measured value of the return air relative humidity, determines a correction value for the return air relative humidity. This includes: employing an optimization algorithm to optimize the initial values ​​of the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity used to determine the initial value of the return air relative humidity of the reference indoor unit, to obtain optimized values ​​for the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity; and then, based on the optimized values ​​of the supply air volumetric airflow and supply air relative humidity, the method further optimizes the return air relative humidity. The initial value for calculating the return air relative humidity of the reference indoor unit is re-determined based on the optimal values ​​for relative humidity, supply air temperature, return air temperature, and total cooling capacity. The above steps are repeated until the preset number of repetitions is reached or the difference between the initial calculated value for return air relative humidity of the reference indoor unit and the measured value for return air relative humidity converges. Then, a correction value for return air relative humidity is determined based on the optimal values ​​for supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, total cooling capacity, initial values ​​for supply air volumetric airflow, initial values ​​for supply air relative humidity, initial values ​​for supply air temperature, initial values ​​for return air temperature, and initial values ​​for total cooling capacity.

[0008] According to the method for calculating the return air relative humidity of a multi-split indoor unit of the present invention, the relative humidity correction value includes multiple values ​​among the following: supply air volume volume correction value, supply air relative humidity correction value, supply air temperature correction value, return air temperature correction value, and total cooling capacity correction value.

[0009] According to an embodiment of the present invention, the method for calculating the return air relative humidity of a multi-split indoor unit further includes: obtaining the correction transmission method for each input parameter in the return air relative humidity correction value, wherein the transmission method includes at least one of the following: direct transmission method, difference method, ratio method, and partial derivative method, wherein the cooling capacity of a single indoor unit of both the reference indoor unit and the correction indoor unit is obtained from the total cooling capacity, and the total cooling capacity correction value adopts a fixed direct transmission method; and transmitting the return air relative humidity correction value to each input parameter of the corresponding correction indoor unit according to the transmission method.

[0010] According to an embodiment of the present invention, the method for calculating the return air relative humidity of a multi-split indoor unit further includes: when the multi-split unit is first powered on, sampling and preprocessing the measured values ​​of the supply air volume, supply air relative humidity, supply air temperature, return air temperature, and return air relative humidity of a reference indoor unit and the total cooling capacity of the multi-split unit within a first preset time period; determining an initial correction value for the return air relative humidity based on the measured values ​​of the supply air volume, supply air relative humidity, supply air temperature, return air temperature, and return air relative humidity of the reference indoor unit after data sampling and preprocessing, and the total cooling capacity of the multi-split unit; and continuously acquiring historical data of the reference indoor unit participating in operation to update and correct the return air relative humidity correction value.

[0011] According to the present invention, the method for calculating the return air relative humidity of a multi-split indoor unit includes data sampling methods including at least one of fixed time interval sampling, sliding window sampling, data down-conversion, data interpolation and smoothing, and random sampling. The preprocessing includes at least one of data cleaning, data standardization, data smoothing, data transformation, data analysis, and feature extraction.

[0012] The method for calculating the return air relative humidity of a multi-split indoor unit provided in this invention obtains various parameters of the operating indoor unit, calculates an initial value for the return air relative humidity of a baseline indoor unit, and further corrects the initial value based on the return air relative humidity measured by sensors. Simultaneously, the initial value for the return air relative humidity of the correction indoor unit is corrected based on the corrected return air relative humidity value. This allows for the accurate acquisition of humidity values ​​from multiple indoor units in a multi-split air conditioner using only one set of temperature and humidity sensors, effectively reducing the hardware cost of the multi-split air conditioner and facilitating after-sales maintenance.

[0013] To achieve the above objectives, a second aspect of the present invention provides a computer-readable storage medium storing a return air relative humidity calculation program for a multi-split indoor unit. When the return air relative humidity calculation program for the multi-split indoor unit is executed by a processor, the return air relative humidity calculation method for the multi-split indoor unit described in the first aspect is implemented.

[0014] The computer-readable storage medium provided in this invention executes a return air relative humidity calculation program for a multi-split indoor unit, obtains various parameters of the running indoor unit, calculates an initial value for the return air relative humidity of a baseline indoor unit, and further corrects the initial value based on the return air relative humidity measured by sensors. Simultaneously, it corrects the initial value for the return air relative humidity of the correction indoor unit based on the corrected return air relative humidity value. This achieves accurate acquisition of humidity values ​​for multiple indoor units in a multi-split air conditioner using only one set of temperature and humidity sensors, effectively reducing the hardware cost of the multi-split air conditioner and facilitating after-sales maintenance.

[0015] To achieve the above objectives, a third aspect of the present invention provides a device for calculating the return air relative humidity of a multi-split indoor unit. The multi-split unit includes a reference indoor unit and multiple correction indoor units. The reference indoor unit is equipped with a return air humidity sensor. The device includes: an acquisition module, used to acquire the supply air volumetric air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity of the multi-split unit in operation, and to acquire the measured return air relative humidity of the reference indoor unit through the return air humidity sensor, wherein the indoor units in operation include the reference indoor unit and the correction indoor units; a determination module, used to determine the initial value of the return air relative humidity of each indoor unit in operation based on the supply air volumetric air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity, and to determine the correction value of the return air relative humidity based on the initial value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity; and a correction module, used to correct the initial value of the return air relative humidity of the correction indoor units in operation based on the correction value of the return air relative humidity.

[0016] The return air relative humidity calculation device for multi-split indoor units provided in this invention calculates the initial value of the return air relative humidity of the reference indoor unit by acquiring various parameters of the operating indoor unit, and further corrects the initial value of the return air relative humidity based on the measured return air relative humidity value of the sensor. At the same time, it corrects the initial value of the return air relative humidity of the correction indoor unit based on the corrected return air relative humidity value, so as to realize the accurate acquisition of humidity values ​​of multiple indoor units in multi-split air conditioners using only one set of temperature and humidity sensors, effectively reducing the hardware cost of multi-split air conditioners and facilitating after-sales maintenance.

[0017] To achieve the above objectives, a fourth aspect of the present invention provides a multi-split air conditioner, including the return air relative humidity calculation device of the multi-split indoor unit described in the third aspect.

[0018] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the structure of the reference internal unit provided in an embodiment of the present invention; Figure 2 A flowchart illustrating the method for calculating the relative humidity of return air in a multi-split indoor unit, as provided in an embodiment of the present invention; Figure 3 A flowchart for calculating the initial value of the return air relative humidity of an indoor unit in operation, provided as an embodiment of the present invention; Figure 4 A flowchart for determining the return air relative humidity correction value provided in an embodiment of the present invention; Figure 5 A flowchart of the method for initializing indoor unit data acquisition and calculation in a multi-unit air conditioning system provided in an embodiment of the present invention; Figure 6 This invention provides a device for calculating the relative humidity of return air in a multi-split indoor unit.

[0020] Reference numerals: 1-Electronic expansion valve; 2-Distributor; 3-Evaporator; 4-Gas collection pipe; 5-Supply air temperature sensor; 6-Return air temperature sensor; 7-Return air humidity sensor; 8-Evaporator inlet temperature sensor; 9-Evaporator mid-section temperature sensor; 10-Evaporator outlet temperature sensor; 600-Return air relative humidity calculation device for multi-split indoor units; 610-Acquisition module; 620-Determination module; 630-Correction module. Detailed Implementation

[0021] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0022] The following description, with reference to the accompanying drawings, describes an embodiment of the multi-split indoor unit of the present invention, its return air relative humidity calculation method, storage medium, and calculation device.

[0023] The multi-split indoor unit of this invention includes a reference indoor unit and multiple correction indoor units, wherein the structural schematic diagram of the reference indoor unit is shown below. Figure 1 As shown, the reference indoor unit includes refrigerant-side components and sensor components.

[0024] The refrigerant-side components control the flow and heat exchange of the refrigerant, including an electronic expansion valve 1, a distributor 2, an evaporator 3, and a gas collection pipe 4. The electronic expansion valve 1 precisely adjusts its opening to control the flow and pressure of the refrigerant entering the evaporator 3, thereby controlling the evaporation temperature of the evaporator 3 and adjusting the cooling, heating, or dehumidifying capacity of the indoor unit. The distributor 2, located after the electronic expansion valve 1, ensures that the refrigerant is evenly distributed to each branch of the evaporator 3, maximizing the surface utilization of the evaporator 3 and preventing insufficient heat exchange capacity due to uneven refrigerant distribution. The evaporator 3 is the core heat exchange component of the indoor unit. The refrigerant evaporates and absorbs heat in the internal pipes of the evaporator, and the fan forces the indoor air to convect and exchange heat with the evaporator 3, thereby reducing the air temperature. At the same time, water vapor in the air can condense upon cooling to achieve a dehumidifying effect. The gas collection pipe 4 collects the refrigerant gas flowing out from each branch of the evaporator 3 and guides it into the compressor return pipe for circulation.

[0025] The sensor components include a supply air temperature sensor 5, a return air temperature sensor 6, a return air humidity sensor 7, an evaporator inlet temperature sensor 8, an evaporator mid-section temperature sensor 9, and an evaporator outlet temperature sensor 10. The supply air temperature sensor 5 monitors the outlet air temperature after processing by the evaporator 3; the return air temperature sensor 6 monitors the actual temperature of the current indoor environment; the return air humidity sensor 7 monitors the actual relative humidity of the return air in the current indoor environment; the evaporator inlet temperature sensor 8 monitors the temperature of the refrigerant immediately entering the evaporator 3, determining whether the opening of the electronic expansion valve 1 is appropriate and whether there is insufficient or excessive refrigerant; the evaporator mid-section temperature sensor 9 monitors the temperature of the middle area of ​​the evaporator to reflect the average temperature of the evaporator surface; and the evaporator outlet temperature sensor 10 monitors the temperature of the refrigerant leaving the evaporator 3, converting it into refrigerant superheat. The refrigerant superheat is the feedback signal of the closed-loop control of the electronic expansion valve 1, and by determining the refrigerant superheat, it can be determined whether the refrigerant has completely evaporated in the evaporator 3.

[0026] refer to Figure 2 This is a flowchart of a method for calculating the relative humidity of return air in a multi-split indoor unit, provided in an embodiment of the present invention.

[0027] Step S201: Obtain the air volume, air relative humidity, air temperature, return air temperature and total cooling capacity of the indoor unit in operation, and obtain the return air relative humidity measurement value of the reference indoor unit through the return air humidity sensor 7. The indoor units in operation include the reference indoor unit and the correction indoor unit.

[0028] Specifically, during multi-split system operation, the system acquires the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity of the reference and modified indoor units. It also acquires the return air relative humidity measurement of the reference indoor unit via return air humidity sensor 7. The supply air volumetric airflow can be determined based on fan speed and static pressure. Considering the high supply air humidity in cooling mode, the supply air relative humidity is typically preferred to be a certain value between 90% and 100%, serving as a reasonable initial value for subsequent optimization, eliminating the need for an additional supply air humidity sensor. The supply air temperature is monitored by supply air temperature sensor 5. For systems without this sensor, the value monitored by evaporator outlet temperature sensor 10 can be used instead, serving as a reasonable initial value for subsequent optimization. The return air temperature is monitored by return air temperature sensor 6. The total cooling capacity is adjusted according to the actual operating conditions of the multi-split system, typically related to compressor status, system pressure, indoor and outdoor temperatures, electrical parameters, and user requirements.

[0029] Step S202: Determine the initial value of the return air relative humidity of the indoor unit in operation based on the supply air volume, supply air relative humidity, supply air temperature, return air temperature and total cooling capacity.

[0030] Specifically, the supply air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity have a definite functional relationship with the initial calculated value of the return air relative humidity of the indoor unit in operation. That is, the initial calculated value of the return air relative humidity can be expressed as:

[0031] in, Initial values ​​for calculating the relative humidity of the return air; Total cooling capacity; This refers to the air volume of the air supply. The relative humidity of the supply air; Return air temperature; This refers to the supply air temperature.

[0032] Step S203: Determine the correction value of return air relative humidity based on the initial value of return air relative humidity calculated from the reference indoor unit and the measured value of return air relative humidity.

[0033] Specifically, the error between the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity of the reference indoor unit, i.e., the return air relative humidity correction value, can be expressed as:

[0034] in, This is the correction value for the relative humidity of the return air; This represents the initial value for calculating the relative humidity of the return air from the reference indoor unit; The relative humidity of the return air in the indoor unit is the reference value.

[0035] Step S204: Correct the initial value of the return air relative humidity of the indoor unit in operation based on the return air relative humidity correction value.

[0036] Specifically, after determining the return air relative humidity correction value in the reference indoor unit, the initial calculation value of the return air relative humidity of the other indoor units in operation in the multi-split system can be corrected based on the return air relative humidity correction value. The calculation method of the initial calculation value of the return air relative humidity of the indoor units is the same as that of the reference indoor unit.

[0037] refer to Figure 3 This is a flowchart for calculating the initial value of the return air relative humidity of an indoor unit in operation, provided by an embodiment of the present invention.

[0038] Step S301: Determine the sensible heat capacity of a single indoor unit based on the supply air volume, supply air temperature, and return air temperature.

[0039] Specifically, based on the energy conservation equation, the sensible heat capacity of a single indoor unit is determined using the supply air volume, supply air temperature, and return air temperature. In other words, the formula for calculating the sensible heat capacity of a single indoor unit can be expressed as:

[0040] in, The cooling and sensible heat capacity of a single internal unit; This is the density value of moist air; This refers to the specific heat capacity of air; the contents of other parameters are described in the relevant descriptions of the calculation formula for the initial value of the return air relative humidity above, and will not be repeated here.

[0041] Step S302: Determine the cooling capacity of a single indoor unit based on the total cooling capacity.

[0042] Specifically, further, the cooling capacity of a single indoor unit is determined based on the total cooling capacity, flow coefficient, and change in heat transfer enthalpy. The flow coefficient represents the amount of refrigerant flowing from the electronic expansion valve 1 to the indoor unit, and the change in heat transfer enthalpy represents the change in enthalpy per unit mass of the refrigerant in the evaporator 3. The formula for calculating the cooling capacity of the indoor unit can be expressed as:

[0043] in, The cooling capacity of the i-th indoor unit is applicable to both the baseline indoor unit and the modified indoor unit. Let be the flow coefficient of the i-th indoor unit; Let be the heat transfer enthalpy difference of the i-th indoor unit; The total enthalpy difference of heat transfer. Let be the change in heat transfer enthalpy of the i-th internal unit.

[0044] Step S303: Determine the latent heat capacity of the indoor unit based on the cooling capacity and sensible heat capacity of a single indoor unit.

[0045] Specifically, cooling capacity can be calculated using sensible heat capacity and latent heat capacity, meaning that cooling capacity can also be expressed as:

[0046] in, This refers to the latent heat capacity for cooling.

[0047] The latent heat capacity of the indoor unit can be further determined based on the cooling capacity and sensible heat capacity calculated above.

[0048] Step S304: Determine the humidity content of the air supplied to the indoor unit based on the supply air temperature and supply air relative humidity.

[0049] Specifically, the moisture content of the supplied air in the indoor unit has a functional relationship with the supplied air temperature and the relative humidity of the supplied air, that is, the moisture content of the supplied air can be expressed as:

[0050] in, This refers to the humidity content of the supplied air.

[0051] Step S305: Determine the return air humidity of the indoor unit based on the cooling latent heat capacity of a single indoor unit, the moisture content of the supply air, and the supply air volume.

[0052] Specifically, according to the energy conservation equation, the latent heat capacity for cooling can be expressed as:

[0053] in, The latent heat of vaporization of water; The density of dry air; This refers to the humidity content of the return air. Based on the above formula, the humidity content of the return air in the indoor unit can be derived and calculated. The value of .

[0054] Step S306: Determine the initial value for calculating the relative humidity of the return air based on the humidity content and temperature of the return air.

[0055] Specifically, the initial value for calculating the relative humidity of the return air is determined based on the moisture content and temperature of the return air. That is, the initial value for calculating the relative humidity of the return air can be expressed as:

[0056] in, This is the initial value for calculating the relative humidity of the return air, applicable to both the baseline indoor unit and the modified indoor unit.

[0057] It should be noted that the density of moist air is usually affected by the combined effects of temperature, atmospheric pressure, and relative humidity. However, in this embodiment of the invention, under typical air conditioning operating conditions (temperature 15°C), the density is not as high as that of moist air. 30℃, relative humidity 30% At 70%, the density error introduced by the relative humidity of the return air is less than 1%. Therefore, in order to maintain the feasibility of the calculation model and the efficiency and accuracy of the calculation, the return air temperature, standard atmospheric pressure and dry air gas constant can be used to simplify the calculation of the humid air density in the first calculation. The calculation error of the humid air density to the relative humidity can be compensated in the subsequent optimization process, so that the overall accuracy of the system is not affected.

[0058] refer to Figure 4 This is a flowchart for determining the correction value of the return air relative humidity provided in an embodiment of the present invention.

[0059] Step S401: An optimization algorithm is used to optimize the initial values ​​of the supply air volume volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity used to determine the initial values ​​of the return air relative humidity of the reference indoor unit, so as to obtain the optimized values ​​of the supply air volume volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity.

[0060] Step S402: Based on the optimized values ​​of supply air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity, re-determine the initial value of the return air relative humidity of the reference indoor unit.

[0061] Step S403: Repeat the above steps until the number of repetitions reaches the preset number or the difference between the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity converges. Then, determine the return air relative humidity correction value based on the optimized values ​​of the supply air volume volume, supply air relative humidity, supply air temperature, return air temperature, total cooling capacity, initial values ​​of the supply air volume volume, initial values ​​of the supply air relative humidity, initial values ​​of the supply air temperature, initial values ​​of the return air temperature, and initial values ​​of the total cooling capacity.

[0062] Specifically, since the initial value of the return air relative humidity provided in the embodiments of the invention has a definite functional relationship with the supply air volume, supply air relative humidity, supply air temperature, return air temperature and total cooling capacity, that is, the initial value of the return air relative humidity is a white box model, the embodiments of the invention can preferably use the gradient descent method as the optimization algorithm. By using the optimized value of the return air relative humidity, the partial derivative (gradient) of the optimized value of the return air relative humidity with respect to each parameter to be optimized is calculated to optimize the initial values ​​of the supply air volume, supply air relative humidity, supply air temperature, return air temperature and total cooling capacity.

[0063] Total cooling capacity For example, calculate the partial derivative of the initial value of the return air relative humidity with respect to the total cooling capacity. To determine the total cooling capacity while keeping other parameters constant. When changes occur, the corresponding initial value of the return air relative humidity is calculated accordingly. The optimization methods for other parameters such as supply air volume, supply air relative humidity, supply air temperature, and return air temperature are similar.

[0064] Furthermore, based on the total cooling capacity The gradient formula is:

[0065] in, The total cooling capacity optimization value obtained from the latest optimization; The total cooling capacity optimization value obtained in the previous optimization is used when performing the initial optimization. This is the initial value of the total cooling capacity; The learning rate controls the step size of each update, i.e., the magnitude of parameter updates along the gradient direction in each iteration. Since an excessively large learning rate can cause update oscillations or even divergence, while an excessively small learning rate can lead to slow convergence, in this embodiment of the invention, the learning rate can preferably be 0.001, or an adaptive learning rate strategy can be adopted to ensure that the optimization value can converge stably.

[0066] By repeatedly executing the optimization calculation process, when the number of optimization repetitions reaches the preset maximum number of iterations (e.g., 100 times), or when the difference between the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity converges (i.e., the change between two adjacent iterations is less than the preset threshold or reaches the error accuracy requirement), the iterative calculation stops, and the optimized values ​​of multiple parameters are substituted into the initial calculated value of the return air relative humidity to obtain a return air relative humidity calibration value that is close to the return air relative temperature measurement. The difference between the return air relative humidity calibration value and the initial calculated value of the return air relative humidity is determined as the return air relative humidity correction value.

[0067] It should be noted that the optimization algorithm can also be a genetic algorithm, particle swarm optimization algorithm, Bayesian algorithm and / or deep learning algorithm. When applying the method provided in the embodiments of the present invention, the corresponding optimization algorithm can be determined according to the actual needs.

[0068] As an optional embodiment, the relative humidity correction value includes multiple input parameters from the following: supply air volume volume correction value, supply air relative humidity correction value, supply air temperature correction value, return air temperature correction value, and total cooling capacity correction value.

[0069] Specifically, based on the initial formula for calculating return air relative humidity, it can be seen that return air relative humidity is jointly affected by supply air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity. During the optimization process, the above five parameters are iteratively adjusted through an optimization algorithm to obtain the corresponding correction values. Therefore, the final corrected value of return air relative humidity is closely related to the correction values ​​of these five input parameters. It can be understood that the improvement in humidity calculation accuracy is not achieved by adjusting a single parameter, but by systematically and jointly optimizing and correcting multiple source parameters that affect calculation accuracy. Through the multi-parameter collaborative correction mechanism, the physical causal relationship of the white-box model is fully utilized, so that the correction of the initial value of humidity calculation has clear physical meaning and higher overall accuracy.

[0070] As an optional embodiment, the method further includes: obtaining the correction transmission method of each input parameter in the return air relative humidity correction value, wherein the transmission method includes at least one of the following: direct transmission method, difference method, ratio method, and partial derivative method, wherein the cooling capacity of a single indoor unit of both the reference indoor unit and the correction indoor unit is obtained from the total cooling capacity, and the total cooling capacity correction value adopts a fixed direct transmission method; and transmitting the return air relative humidity correction value to each input parameter of the corresponding correction indoor unit according to the transmission method.

[0071] Specifically, after determining the return air relative humidity correction value, the correction information needs to be transmitted to other correction indoor units so that the correction indoor units can correct their initial return air relative humidity calculation value based on the correction information. For different parameter values ​​that affect the return air relative humidity correction value, different parameter transmission methods can be used. The transmission methods include at least one of the following: direct transmission method, difference method, ratio method, and partial derivative method. The cooling capacity of a single indoor unit of both the reference indoor unit and the correction indoor unit is obtained from the total cooling capacity, and the total cooling capacity correction value adopts a fixed direct transmission method.

[0072] The difference method involves taking the optimized values ​​of multiple parameters of the baseline internal machine as correction values ​​and directly superimposing them onto the corresponding parameters of the correction internal machine. This method is typically suitable for parameters where the correction values ​​have absolute significance.

[0073] The comparison method involves using the ratio of the corrected value of the baseline indoor unit parameter to the initial value as a correction coefficient to proportionally scale the corresponding parameters of the corrected indoor unit. In this embodiment of the invention, the air volume airflow correction value can be transferred using the comparison method, that is, the optimized air volume airflow value can be expressed as:

[0074] in, This refers to the air volume transfer value, which is the parameter transferred from the reference indoor unit to the modified indoor unit; This is the correction value for the air volumetric airflow. This represents the initial value of the air volumetric airflow.

[0075] The partial derivative method is used when there is a certain difference between the operating points of the modified internal machine and the reference internal machine. It can estimate the amount of parameter adjustment required for the modified internal machine by using the gradient information calculated during the optimization process of the reference internal machine, and combining the difference in parameters between the reference internal machine and the modified internal machine.

[0076] It should be noted that, in this embodiment of the invention, since each indoor unit of the multi-split air conditioner is equipped with a corresponding temperature sensor, the supply air temperature and return air temperature do not need to be corrected for transmission.

[0077] in, To correct the return air temperature correction value of the indoor unit; To correct the measured return air temperature value of the indoor unit; To correct the air supply temperature correction value of the indoor unit; To correct the measured air supply temperature value of the indoor unit.

[0078] In this embodiment of the invention, due to the total cooling capacity This is a global parameter for the entire multi-split air conditioning system. Its specific value is usually determined by the operating status of the outdoor unit and is shared by multiple indoor units. Therefore, to ensure that the humidity calculation models for multiple indoor units (including the baseline and correction units) in a multi-split system are based on the same foundation, the correction unit can directly use the system's total capacity value, optimized and calibrated by the baseline unit, as the correction value for the total cooling capacity when correcting the total cooling capacity.

[0079] in, To correct the total cooling capacity of the indoor unit; This is a correction value for the total cooling capacity of the base indoor unit.

[0080] In this embodiment of the invention, since the relative humidity of the supply air has little impact on the return air humidity, it can be assumed that the air supply effect of multiple indoor units is similar. Therefore, the correction value of the relative humidity of the supply air of the indoor unit can be directly adopted as the correction value of the supply air temperature of the reference indoor unit, that is:

[0081] in, To correct the relative humidity of the indoor unit's air supply; This is the relative humidity correction value for the air supply of the baseline indoor unit.

[0082] refer to Figure 5 This is a flowchart of a multi-unit initialization data acquisition and calculation method provided in an embodiment of the present invention.

[0083] Step S501: When the multi-split air conditioner is powered on for the first time, control the reference indoor unit to run for a first preset time.

[0084] Specifically, to ensure that the corrected indoor unit is corrected every time it runs, this embodiment requires the reference indoor unit to be forced to run for a period of time when the multi-split unit is first powered on to determine the initial correction value of the return air relative humidity. More specifically, the reference indoor unit is first controlled to run for a first preset time (e.g., 10 minutes) to ensure that the reference indoor unit has entered a stable working state and that parameters such as the evaporator surface temperature, air volume, and supply air temperature and humidity of the reference indoor unit have reached a balanced state. This ensures the reliability of subsequent data acquisition and avoids the influence of transient fluctuations under initial operating conditions on the correction value, which could cause significant errors.

[0085] Step S502: Data sampling and preprocessing are performed on the measured values ​​of air volume, air relative humidity, air temperature, return air temperature, return air relative humidity, and total cooling capacity of the multi-split unit within the first preset time period, as the initial data source for correction.

[0086] Specifically, further, after the multi-split unit has been running for a first preset duration, the air volume, air relative humidity, air temperature, return air temperature, return air relative humidity, and total cooling capacity of the reference indoor unit are acquired at second preset intervals. In this embodiment of the invention, the second preset duration is preferably 1 minute to ensure that a sufficient number of data samples can be collected.

[0087] In some other embodiments, it is necessary for the reference indoor unit to first collect a certain amount of data over a certain period of time. Specifically, the reference indoor unit first collects a certain amount of data over a certain period of time, and then processes the data by averaging using a sliding window. A sliding window of 1 minute can be used for sampling and averaging, or other durations can be used; there is no limitation here. Furthermore, it is understood that by collecting a certain amount of data from the reference indoor unit to obtain its historical operating data, historical data can be obtained by forcing the reference indoor unit to start for a preset time upon initial power-on. During subsequent operation, the data from the reference indoor unit's operation is expanded into the correction database to update the initial value for return air relative humidity correction. The collected raw data on supply air volume, supply air relative humidity, supply air temperature, return air temperature, return air relative humidity, and the total cooling capacity of the multi-split unit may contain noise, outliers, or non-stationary fluctuations. Directly using these data for optimization calculations may affect the accuracy and robustness of the correction values. Therefore, data sampling and preprocessing are necessary to determine the effective data samples.

[0088] Step S503: Determine the initial correction value for return air relative humidity based on the measured values ​​of supply air volume, supply air relative humidity, supply air temperature, return air temperature, and return air relative humidity of the reference indoor unit after data sampling and preprocessing, and the total cooling capacity of the multi-split unit.

[0089] Step S504: Continuously acquire historical data of the baseline indoor unit's operation to update the correction value for return air relative humidity.

[0090] Specifically, the data of the reference indoor unit after data sampling and preprocessing, including the supply air volume, supply air relative humidity, supply air temperature, return air temperature, return air relative humidity, and the total cooling capacity of the multi-split unit, are used to form an initial optimization dataset. The initial optimization dataset is then processed to determine the initial correction value, calculate the optimization value of each parameter, and determine the initial correction value of the return air relative humidity based on the corresponding optimization value. Subsequently, when the reference indoor unit is in operation, the historical data of the reference indoor unit is continuously acquired to update and correct the return air relative humidity correction value.

[0091] The multi-split air conditioner initialization data acquisition and calculation method provided in the above embodiments can effectively ensure that the multi-split air conditioner can quickly establish an accurate humidity calculation correction benchmark when it is first powered on or restarted after a long period of power failure.

[0092] As an optional embodiment, data sampling includes multiple time-series data sampling methods, including at least one of fixed time interval sampling, sliding serial port sampling, data down-sampling, data interpolation and smoothing, and random sampling. Preprocessing includes multiple time-series data processing methods, including at least one of data cleaning, data standardization, data smoothing, data transformation, data analysis, and feature extraction.

[0093] Specifically, in order to improve the accuracy and robustness of the return air relative humidity correction provided in the embodiments of the present invention, it is necessary to sample and preprocess the obtained measured values ​​of supply air volume, supply air relative humidity, supply air temperature, return air temperature, return air relative humidity and total cooling capacity of the multi-split unit.

[0094] In this embodiment of the invention, data sampling includes at least one time-series data sampling method selected from fixed time interval sampling, sliding serial port sampling, data frequency reduction, data interpolation and smoothing, and random sampling. For example, random sampling involves selecting samples completely randomly from the overall dataset, ensuring that each data point has an equal probability of being selected, and is a basic and general model for data sampling. In addition to the above-mentioned time-series data sampling methods, other methods such as hierarchical sampling and system sampling can also be used. For instance, hierarchical sampling involves sampling according to categories when the data contains different categories or different operating modes. This requires first identifying and dividing the category layers to which the region belongs, then performing independent random sampling within each layer, and finally merging the samples from each layer to ensure that all operating conditions are reflected in the data samples. System sampling involves selecting samples from the data at fixed time intervals; it is simple to operate and suitable for scenarios with large amounts of data and relatively uniform distribution. Cluster sampling is a method of sampling after grouping data based on the similarity of the data's features. It aggregates historical data into multiple categories and further selects the center point or points near the center point from each category as representative samples. Cluster sampling can select the most representative samples for various operating conditions. The data points significantly improve the optimization efficiency of the samples; undersampling and oversampling are used to deal with the situation where the number of samples of each category in the collected dataset is severely unbalanced. Undersampling randomly reduces the number of samples for most operating conditions, while oversampling increases the number of samples for a few operating conditions by copying or generating new samples based on existing samples. This balances the data and prevents the optimization process from being dominated by a large number of operating condition data, resulting in insufficient correction ability for a few operating conditions; time series sampling is used to sample data with time dependence. By sampling a single time point and a data segment of a time window past the current sampling time point, a sequence of input and output relationship is formed, which can capture the dynamic characteristics of the data, so that the calculation model can reflect a more realistic process of humidity physical change, thereby improving the calculation accuracy of transient operating conditions.

[0095] In this embodiment of the invention, preprocessing includes various time-series data processing methods, including at least one of data cleaning, data standardization, data smoothing, data transformation, data analysis, and feature extraction. For example, data cleaning is used to identify and process missing values, outliers, and erroneous data, removing values ​​exceeding the constraint range. For missing values, adjacent value interpolation or direct deletion are used to effectively ensure the basic quality of the data. Data standardization, also known as data normalization, transforms features of different dimensions and magnitudes to a unified scale, avoiding errors in parameter updates due to excessive size differences. Data smoothing can use methods such as moving average filtering and low-pass filtering to filter out high-frequency random noise in the data, making low-frequency signals that reflect the true physical state more accurate. Clarity avoids overfitting of the optimization algorithm to measurement noise; data transformation changes the distribution or relationship of data through mathematical transformations, making the data more consistent with the optimization algorithm and thus improving the fitting effect of the computational model; data analysis and feature extraction discretize continuous features into several intervals and assign labels or statistical values ​​to each interval to simplify nonlinear relationships and enhance the robustness of the computational model to outliers; data balancing is consistent with the oversampling and undersampling approaches in data sampling, ensuring that the data is evenly distributed across different feature value domains; feature engineering is the operation of creating new and more predictive features based on the current feature values. For example, calculating the dew point temperature or enthalpy value based on the return air temperature and return air relative humidity as a new feature, further enhancing the computational accuracy of the computational model by introducing new features.

[0096] It should be noted that in the practical application of the embodiments of the present invention, the above-mentioned data sampling and preprocessing methods can be flexibly selected according to the specific data characteristics and optimization objectives, so as to achieve the purpose of obtaining the relative humidity of the return air of the multi-split unit with high accuracy.

[0097] The method for calculating the return air relative humidity of a multi-split indoor unit provided in this invention obtains various parameters of the operating indoor unit, calculates an initial value for the return air relative humidity of a baseline indoor unit, and further corrects the initial value based on the return air relative humidity measured by sensors. Simultaneously, the initial value for the return air relative humidity of the correction indoor unit is corrected based on the corrected return air relative humidity value. This allows for the accurate acquisition of humidity values ​​from multiple indoor units in a multi-split air conditioner using only one set of temperature and humidity sensors, effectively reducing the hardware cost of the multi-split air conditioner and facilitating after-sales maintenance.

[0098] Based on the same inventive concept, corresponding to the method for calculating the return air relative humidity of the multi-split indoor unit in any of the above embodiments, the present invention also provides a computer-readable storage medium containing a program for calculating the return air relative humidity of the multi-split indoor unit. When the program is executed by a processor, it causes the computer to execute the method for calculating the return air relative humidity of the multi-split indoor unit in any of the above embodiments.

[0099] The aforementioned non-transitory computer-readable storage media can be any available medium or data storage device that a computer can access, including but not limited to magnetic storage (e.g., floppy disks, hard disks, magnetic tapes, magneto-optical disks (MOs), etc.), optical storage (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND flash), solid-state drives (SSDs)).

[0100] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0101] The computer-readable storage medium provided in this invention executes a return air relative humidity calculation program for a multi-split indoor unit, obtains various parameters of the running indoor unit, calculates an initial value for the return air relative humidity of a baseline indoor unit, and further corrects the initial value based on the return air relative humidity measured by sensors. Simultaneously, it corrects the initial value for the return air relative humidity of the correction indoor unit based on the corrected return air relative humidity value. This achieves accurate acquisition of humidity values ​​for multiple indoor units in a multi-split air conditioner using only one set of temperature and humidity sensors, effectively reducing the hardware cost of the multi-split air conditioner and facilitating after-sales maintenance.

[0102] refer to Figure 6 The present invention provides a multi-split indoor unit return air relative humidity calculation device 600. The multi-split indoor unit includes a reference indoor unit and multiple correction indoor units. The reference indoor unit is equipped with a return air humidity sensor. The device includes: an acquisition module 610, a determination module 620 and a correction module 630.

[0103] The acquisition module 610 is used to acquire the supply air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity of the multi-split unit of the indoor unit in operation, and to acquire the return air relative humidity measurement value of the reference indoor unit through the return air humidity sensor. The indoor units in operation include the reference indoor unit and the correction indoor unit. The determination module 620 is used to determine the initial value of the return air relative humidity of each indoor unit in operation based on the supply air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity, and to determine the correction value of the return air relative humidity based on the initial value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity. The correction module 630 is used to correct the initial value of the return air relative humidity of the correction indoor unit in operation based on the correction value of the return air relative humidity.

[0104] In some embodiments, when determining the initial value of the return air relative humidity of each indoor unit in operation based on the supply air volumetric air volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity, the determining module 620 is further configured to: determine the sensible heat capacity of a single indoor unit based on the supply air volumetric air volume, supply air temperature, and return air temperature; determine the cooling capacity of a single indoor unit based on the total cooling capacity; determine the latent heat capacity of the indoor unit based on the cooling capacity and sensible heat capacity of the single indoor unit; determine the moisture content of the supply air of the indoor unit based on the supply air temperature and supply air relative humidity; determine the moisture content of the return air of the indoor unit based on the latent heat capacity of the single indoor unit, the moisture content of the supply air, and the supply air volumetric air volume; and determine the initial value of the return air relative humidity based on the moisture content and return air temperature.

[0105] In some embodiments, when determining the return air relative humidity correction value based on the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity, the determining module 620 is further configured to: employ an optimization algorithm to optimize the initial values ​​of the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity used to determine the initial calculated value of the return air relative humidity of the reference indoor unit, so as to obtain the optimized values ​​of the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity; and based on the optimized values ​​of the supply air volumetric airflow and supply air relative humidity... The initial value for calculating the return air relative humidity of the reference indoor unit is re-determined based on the optimization values ​​of the supply air temperature, return air temperature, and total cooling capacity. The above steps are repeated until the preset number of repetitions is reached or the difference between the initial calculated return air relative humidity of the reference indoor unit and the measured return air relative humidity converges. Then, a correction value for return air relative humidity is determined based on the optimization values ​​of the supply air volumetric airflow, supply air relative humidity, supply air temperature, return air temperature, total cooling capacity, initial values ​​of the supply air volumetric airflow, initial values ​​of the supply air relative humidity, initial values ​​of the supply air temperature, initial values ​​of the return air temperature, and initial values ​​of the total cooling capacity.

[0106] In some embodiments, the relative humidity correction value includes multiple input parameters from the following: supply air volume volume correction value, supply air relative humidity correction value, supply air temperature correction value, return air temperature correction value, and total cooling capacity correction value.

[0107] In some embodiments, the acquisition module 610 is further configured to: acquire the correction transmission method of each input parameter in the return air relative humidity correction value, the transmission method including at least one of direct transmission method, difference method, ratio method and partial derivative method, wherein the cooling capacity of a single indoor unit of the reference indoor unit and the correction indoor unit is obtained from the total cooling capacity, and the total cooling capacity correction value adopts a fixed direct transmission method; the correction module 630 is further configured to: transmit the return air relative humidity correction value to each input parameter of the corresponding correction indoor unit according to the transmission method.

[0108] In some embodiments, the return air relative humidity calculation device 600 of the multi-split indoor unit is further configured to: when the multi-split unit is first powered on, sample and preprocess the measured values ​​of the supply air volume, supply air relative humidity, supply air temperature, return air temperature, return air relative humidity, and the total cooling capacity of the multi-split unit acquired within a first preset time period, and use them as the initial data source for correction; determine the initial correction value of return air relative humidity based on the measured values ​​of the supply air volume, supply air relative humidity, supply air temperature, return air temperature, return air relative humidity, and the total cooling capacity of the multi-split unit after data sampling and preprocessing; and continuously acquire historical data of the reference indoor unit participating in operation to update and correct the return air relative humidity correction value.

[0109] In some embodiments, data sampling includes a variety of time-series data sampling methods, including at least one of fixed time interval sampling, sliding window sampling, data down-sampling, data interpolation and smoothing, and random sampling. Preprocessing includes a variety of time-series data processing methods, including at least one of data cleaning, data standardization, data smoothing, data transformation, data analysis, and feature extraction.

[0110] The return air relative humidity calculation device for multi-split indoor units provided in this invention calculates the initial value of the return air relative humidity of the reference indoor unit by acquiring various parameters of the operating indoor unit, and further corrects the initial value of the return air relative humidity based on the measured return air relative humidity value of the sensor. At the same time, it corrects the initial value of the return air relative humidity of the correction indoor unit based on the corrected return air relative humidity value, so as to realize the accurate acquisition of humidity values ​​of multiple indoor units in multi-split air conditioners using only one set of temperature and humidity sensors, effectively reducing the hardware cost of multi-split air conditioners and facilitating after-sales maintenance.

[0111] Based on the same inventive concept, corresponding to the method for calculating the return air relative humidity of the indoor unit of the multi-split air conditioner in any of the above embodiments, the present invention also proposes a multi-split air conditioner, which includes the aforementioned device for calculating the return air relative humidity of the indoor unit of the multi-split air conditioner. The device for calculating the return air relative humidity of the indoor unit of the multi-split air conditioner is used to control the multi-split air conditioner, and the multi-split air conditioner has the same beneficial effects as the device for calculating the return air relative humidity of the indoor unit of the multi-split air conditioner, which will not be elaborated here.

[0112] Furthermore, the other components and functions of the multi-unit system in the embodiments of the present invention are known to those skilled in the art, and will not be described in detail here to reduce redundancy.

[0113] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0114] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0115] Furthermore, the terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance, or implicitly specifying the number of technical features indicated in this embodiment. Therefore, features defined with terms such as "first" and "second" in the embodiments of this invention can explicitly or implicitly indicate that the embodiment includes at least one of those features. In the description of this invention, the word "multiple" means at least two or more, such as two, three, four, etc., unless otherwise explicitly specified in the embodiments.

[0116] In this invention, unless otherwise explicitly specified or limited in the embodiments, the terms "installation," "connection," "joining," and "fixing" appearing in the embodiments should be interpreted broadly. For example, a connection can be a fixed connection, a detachable connection, or an integral part; it can also be a mechanical connection, an electrical connection, etc. Of course, it can also be a direct connection, or an indirect connection through an intermediate medium, or it can be the internal communication of two components, or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific implementation.

[0117] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for calculating the relative humidity of return air in a multi-split indoor unit, characterized in that, The multi-split air conditioner includes a reference indoor unit and multiple correction indoor units. The reference indoor unit is equipped with a return air humidity sensor. The method includes: The system acquires the air volumetric air volume, air relative humidity, air temperature, return air temperature, and total cooling capacity of the multi-split unit for the indoor unit in operation, and acquires the return air relative humidity measurement value of the reference indoor unit through the return air humidity sensor. The indoor units in operation include the reference indoor unit and the correction indoor unit. The initial value of the return air relative humidity of each indoor unit in operation is determined based on the air volume, air relative humidity, air temperature, return air temperature, and total cooling capacity. The return air relative humidity correction value is determined based on the initial value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity. The initial value of the return air relative humidity of the indoor unit in operation is corrected based on the return air relative humidity correction value.

2. The method for calculating the relative humidity of the return air of a multi-split indoor unit according to claim 1, characterized in that, The initial values ​​for the return air relative humidity of each indoor unit in operation are determined based on the supplied air volume, the supplied air relative humidity, the supplied air temperature, the return air temperature, and the total cooling capacity, including: The cooling sensible heat capacity of a single indoor unit is determined based on the air volume, air supply temperature, and return air temperature. The cooling capacity of a single indoor unit is determined based on the total cooling capacity. The latent heat capacity of the indoor unit is determined based on the cooling capacity of a single indoor unit and the sensible heat capacity of a single indoor unit. The humidity content of the air supplied by the indoor unit is determined based on the air supply temperature and the relative humidity of the air supply. The return air humidity of the indoor unit is determined based on the cooling latent heat capacity of the single indoor unit, the moisture content of the supply air, and the supply air volume. The initial value for calculating the relative humidity of the return air is determined based on the moisture content of the return air and the return air temperature.

3. The method for calculating the relative humidity of the return air of a multi-split indoor unit according to claim 1, characterized in that, Based on the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity, a correction value for the return air relative humidity is determined, including: An optimization algorithm is used to optimize the initial values ​​of the supply air volume volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity used to determine the initial value of the return air relative humidity of the reference indoor unit, so as to obtain the optimized values ​​of the supply air volume volume, supply air relative humidity, supply air temperature, return air temperature, and total cooling capacity. The initial value for calculating the return air relative humidity of the reference indoor unit is re-determined based on the optimized values ​​of the supply air volume, the supply air relative humidity, the supply air temperature, the return air temperature, and the total cooling capacity. When the above steps are repeated until the number of repetitions reaches the preset number or the difference between the initial calculated value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity converges, the return air relative humidity correction value is determined based on the optimized value of the supply air volume airflow, the optimized value of the supply air relative humidity, the optimized value of the supply air temperature, the optimized value of the return air temperature, the optimized value of the total cooling capacity, the initial value of the supply air volume airflow, the initial value of the supply air relative humidity, the initial value of the supply air temperature, the initial value of the return air temperature, and the initial value of the total cooling capacity.

4. The method for calculating the relative humidity of the return air of the indoor unit of a multi-split air conditioning system according to claim 3, characterized in that, The relative humidity correction value includes multiple input parameters from the supply air volume volume correction value, supply air relative humidity correction value, supply air temperature correction value, return air temperature correction value, and total cooling capacity correction value.

5. The method for calculating the relative humidity of return air in a multi-split indoor unit according to claim 4, characterized in that, The method further includes: The correction transmission method for each input parameter in the return air relative humidity correction value is obtained. The transmission method includes at least one of the following: direct transmission method, difference method, ratio method, and partial derivative method. The cooling capacity of a single indoor unit of both the reference indoor unit and the correction indoor unit is obtained from the total cooling capacity. The correction value of the total cooling capacity adopts a fixed direct transmission method. The return air relative humidity correction value is transmitted to the corresponding input parameters of the indoor unit according to the transmission method.

6. The method for calculating the relative humidity of the return air of a multi-split indoor unit according to claim 1, characterized in that, The method further includes: When the multi-split air conditioner is powered on for the first time, the reference indoor unit is controlled to run for a first preset duration; The measured values ​​of air volume, air volume, air relative humidity, air temperature, return air temperature, return air relative humidity, and total cooling capacity of the reference indoor unit within the first preset time period are sampled and preprocessed as the initial data source for correction. The initial correction value for return air relative humidity is determined based on the measured values ​​of supply air volume, supply air relative humidity, supply air temperature, return air temperature, and return air relative humidity of the reference indoor unit after the data sampling and preprocessing, and the total cooling capacity of the multi-split unit. The historical data of the benchmark indoor unit during operation is continuously acquired to update and correct the return air relative humidity correction value.

7. The method for calculating the relative humidity of return air in a multi-split indoor unit according to claim 6, characterized in that, The data sampling includes multiple time-series data sampling methods, including at least one of fixed time interval sampling, sliding window sampling, data down-sampling, data interpolation and smoothing, and random sampling. The preprocessing includes multiple time-series data processing methods, including at least one of data cleaning, data standardization, data smoothing, data transformation, data analysis, and feature extraction.

8. A computer-readable storage medium, characterized in that, It stores a program for calculating the relative humidity of the return air of a multi-split indoor unit. When the program is executed by the processor, it implements the method for calculating the relative humidity of the return air of a multi-split indoor unit as described in any one of claims 1-7.

9. A device for calculating the relative humidity of return air in a multi-split indoor unit, characterized in that, The multi-split air conditioner includes a base indoor unit and multiple correction indoor units. The base indoor unit is equipped with a return air humidity sensor. The device includes: The acquisition module is used to acquire the air volumetric air volume, air relative humidity, air temperature, return air temperature and total cooling capacity of the indoor unit in operation, and to acquire the return air relative humidity measurement value of the reference indoor unit through the return air humidity sensor. The indoor units in operation include the reference indoor unit and the correction indoor unit. The determination module is used to determine the initial value of the return air relative humidity of each indoor unit in operation based on the supply air volume, the supply air relative humidity, the supply air temperature, the return air temperature and the total cooling capacity, and to determine the return air relative humidity correction value based on the initial value of the return air relative humidity of the reference indoor unit and the measured value of the return air relative humidity. The correction module is used to correct the initial value of the return air relative humidity of the indoor unit in operation based on the return air relative humidity correction value.

10. A multi-split air conditioner, characterized in that, Includes the return air relative humidity calculation device for the indoor unit of a multi-split air conditioning system as described in claim 9.

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