Multi-split air conditioner regulation and control method and device, storage medium and multi-split air conditioner

Abstract

The invention discloses a multi-split air conditioner regulation and control method and device, a storage medium and a multi-split air conditioner, and relates to the technical field of air conditioners, the method comprises the steps that analysis and calculation are conducted according to historical operation data of the multi-split air conditioner in a building site in a historical time period, and the historical unit refrigerating capacity of the multi-split air conditioner in the historical time period is obtained; constructing a thermal equivalent model of the building site, and performing parameter optimization on the thermal equivalent model based on historical indoor and outdoor environment temperatures and historical unit refrigerating capacity of the building site in a historical time period through a genetic algorithm to obtain optimized parameter values; applying the optimization parameter value to the thermal equivalent model to obtain an optimized thermal equivalent model; and the real-time indoor and outdoor environment temperature of the building site is input into the optimized thermal equivalent model, the real-time unit refrigerating capacity is obtained, and the multi-split air conditioner is regulated and controlled according to the real-time unit refrigerating capacity. The temperature control stability of the multi-split air conditioner can be reliably improved, and the energy consumption of the multi-split air conditioner system can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of air conditioning, and in particular to a multi-split air conditioning control method, device, storage medium and multi-split air conditioning. Background Art

[0002] When multi-split air conditioners are performing temperature control, they usually use the PID (proportional-integral-differential) control method to calculate the indoor unit capacity requirements and further adjust the outdoor unit capacity based on the indoor unit capacity requirements. With the current control method using the PID algorithm, it is usually necessary to obtain the temperature response results of the indoor unit before calculating the capacity requirements and adjusting the outdoor unit capacity. There are problems such as slow response and lag in adjustment, and it is easy for the outdoor unit frequency to be too high or too low, resulting in over-cooling and temperature fluctuations in the indoor unit temperature, and high system energy consumption. Summary of the invention

[0003] The embodiment of the present application provides a solution that can reliably improve the temperature control stability of a multi-split air conditioner and reduce the energy consumption of the multi-split air conditioner system.

[0004] The embodiments of the present application provide the following technical solutions:

[0005] According to one embodiment of the present application, a multi-split air conditioner control method includes: analyzing and calculating historical operating data of the multi-split air conditioner in a building site in a historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period; constructing a thermal equivalent model of the building site, and optimizing parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values; applying the optimized parameter values ​​to the thermal equivalent model to obtain an optimized thermal equivalent model; inputting the real-time indoor and outdoor ambient temperatures of the building site into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, so as to control the multi-split air conditioner according to the real-time unit cooling capacity.

[0006] In some embodiments of the present application, the historical operating data includes high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement; the historical operating data of the multi-split air conditioner in the building site is analyzed and calculated in the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period, including: inputting the high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement into a preset neural network model to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period output by the preset neural network model.

[0007] In some embodiments of the present application, the historical operating data include refrigerant flow, evaporator inlet enthalpy and evaporator outlet enthalpy; the historical operating data of the multi-split air conditioner in the building site in the historical time period is analyzed and calculated to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period, including: calculation according to the formula Q1=m*(h1-h2), wherein Q is the historical unit cooling capacity, m is the refrigerant flow, h1 is the evaporator inlet enthalpy, and h2 is the evaporator outlet enthalpy.

[0008] In some embodiments of the present application, the thermal equivalent model of the building site includes a thermal equivalent model of each room in which an indoor unit is installed in the building site; the method of optimizing parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values ​​comprises: optimizing parameters of the thermal equivalent model of each room based on the historical indoor and outdoor environments and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values ​​of the thermal equivalent model of each room; accordingly, the method of applying the optimized parameter values ​​to the thermal equivalent model to obtain an optimized thermal equivalent model comprises: applying the optimized parameter values ​​of the thermal equivalent model of each room to the thermal equivalent model of each room to obtain an optimized thermal equivalent model of each room.

[0009] In some embodiments of the present application, the real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, including: inputting the real-time indoor and outdoor ambient temperatures of each room in the building site into the optimized thermal equivalent model of each room respectively to obtain the sub-real-time unit cooling capacity of each room; summing the sub-real-time unit cooling capacities of the rooms included in the building site to obtain the real-time unit cooling capacity.

[0010] In some embodiments of the present application, the real-time indoor and outdoor ambient temperatures of each room in the building site are respectively input into the optimized thermal equivalent model of each room to obtain the sub-real-time unit cooling capacity of each room, including: determining the rooms in the building site with the indoor units turned on; and inputting the real-time indoor and outdoor ambient temperatures of each room in the building site with the indoor units turned on into the optimized thermal equivalent model of each room with the indoor units turned on to obtain the sub-real-time unit cooling capacity of each room with the indoor units turned on.

[0011] In some embodiments of the present application, the multi-split air conditioner is controlled according to the real-time unit cooling capacity, including: according to the formula Q2=af 2 +bf+c calculates the compressor frequency, wherein Q2 is the real-time unit cooling capacity, f is the compressor frequency, and a, b, and c are preset coefficients respectively; and the operation of the compressor in the outdoor unit of the multi-split air conditioner is controlled according to the compressor frequency.

[0012] According to one embodiment of the present application, a multi-split air conditioning control device includes: a memory storing a computer program; and a processor reading the computer program stored in the memory to execute the method described in any embodiment of the present application.

[0013] According to another embodiment of the present application, a storage medium stores a computer program thereon. When the computer program is executed by a processor of a multi-split air-conditioning control device, the multi-split air-conditioning control device executes the method described in the embodiment of the present application.

[0014] According to another embodiment of the present application, an air conditioner may include the multi-split air conditioner control device described in the embodiment of the present application and other air conditioner modules.

[0015] According to another embodiment of the present application, a computer program product or a computer program includes computer instructions stored in a computer-readable storage medium. A processor of a multi-split air conditioning control device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the multi-split air conditioning control device executes the methods provided in various optional implementations described in the embodiments of the present application.

[0016] In an embodiment of the present application, historical operating data of a multi-split air conditioner in a building site during a historical time period is analyzed and calculated to obtain a historical unit cooling capacity of the multi-split air conditioner during the historical time period; a thermal equivalent model of the building site is constructed, and a genetic algorithm is used to perform parameter optimization on the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site during the historical time period and the historical unit cooling capacity to obtain optimized parameter values; the optimized parameter values ​​are applied to the thermal equivalent model to obtain an optimized thermal equivalent model; the real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, so as to control the multi-split air conditioner according to the real-time unit cooling capacity.

[0017] In this manner of the embodiments of the present application, by analyzing and calculating the historical unit cooling capacity based on the historical operating data of the multi-split air conditioner, and constructing a thermal equivalent model of the building site, the thermal equivalent model is optimized for parameters based on the historical indoor and outdoor ambient temperatures of the building site and the historical unit cooling capacity through a genetic algorithm, and an optimized thermal equivalent model is obtained to obtain the real-time unit cooling capacity according to the real-time indoor and outdoor ambient temperatures of the building site. The multi-split air conditioner is regulated according to the real-time unit cooling capacity, so that the capacity output of the outdoor unit of the multi-split air conditioner can be kept consistent with the real-time building load demand, thereby reliably improving the temperature control stability of the multi-split air conditioner and reducing the energy consumption of the multi-split air conditioner system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 A flow chart of a multi-split air conditioning control method according to an embodiment of the present application is shown.

[0020] Figure 2 A schematic diagram of the layout of a multi-split air conditioner according to an embodiment of the present application is shown.

[0021] Figure 3 A compressor frequency change comparison curve according to an embodiment of the present application is shown.

[0022] Figure 4 A schematic diagram of a thermal equivalent model according to an embodiment of the present application is shown.

[0023] Figure 5 A block diagram of a multi-split air conditioning control device according to an embodiment of the present application is shown.

[0024] Figure 6 A block diagram of a multi-split air conditioner according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] The present disclosure is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the embodiments provided herein are only used to explain the present disclosure and are not intended to limit the present disclosure. In addition, the embodiments provided below are partial embodiments for implementing the present disclosure, rather than providing all embodiments for implementing the present disclosure. In the absence of conflict, the technical solutions recorded in the embodiments of the present disclosure can be implemented in any combination.

[0026] It should be noted that, in the embodiments of the present disclosure, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a method or apparatus including a series of elements includes not only the elements explicitly recorded, but also includes other elements not explicitly listed, or also includes elements inherent to the implementation of the method or apparatus. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other related elements in the method or apparatus including the element (such as a step in the method or a unit in the apparatus, for example, a unit may be a part of a circuit, a part of a processor, a part of a program or software, etc.).

[0027] For example, the multi-split air conditioning control method provided in the embodiment of the present disclosure includes a series of steps, but the multi-split air conditioning control method provided in the embodiment of the present disclosure is not limited to the recorded steps. Similarly, the multi-split air conditioning control device provided in the embodiment of the present disclosure includes a series of units, but the device provided in the embodiment of the present disclosure is not limited to including the units explicitly recorded, and may also include units that need to be set to obtain relevant information or perform processing based on information.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present disclosure belongs. The terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0029] It is understandable that in the specific implementation of this application, relevant data is involved. When the embodiments in this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0030] Figure 1 The flowchart of a multi-split air conditioner control method according to an embodiment of the present application is schematically shown. The execution subject of the multi-split air conditioner control method can be any multi-split air conditioner control device with processing capability, and the multi-split air conditioner control device can be set in a device, such as the multi-split air conditioner itself, a mobile phone, a computer, a smart watch, and other home appliances.

[0031] In a specific embodiment of the present application, a multi-split air conditioner control device as an execution subject of the air conditioner control method is arranged in a multi-split air conditioner (also referred to as a multi-split air conditioner, etc.), and the multi-split air conditioner control device can specifically be a controller in the multi-split air conditioner. Figure 2 The multi-split air conditioner may include an air conditioner external unit 210 (ie, an outdoor unit) and multiple indoor units 220, wherein one or more indoor units 220 may be placed in each room in the room (eg, room 1 to room n).

[0032] like Figure 1 As shown, the multi-split air conditioning control method may include steps S110 to S140.

[0033] Step S110, analyzing and calculating the historical operation data of the multi-split air conditioner in the building site during the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner during the historical time period;

[0034] Step S120, constructing a thermal equivalent model of the building site, and optimizing the parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity by a genetic algorithm to obtain optimized parameter values;

[0035] Step S130, applying the optimized parameter value to the thermal equivalent model to obtain an optimized thermal equivalent model;

[0036] Step S140, inputting the real-time indoor and outdoor ambient temperature of the building site into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, so as to regulate the multi-split air conditioner according to the real-time unit cooling capacity.

[0037] The multi-split air conditioner may include an outdoor air conditioner and multiple indoor air conditioners. The building may include one or more rooms, and each room may be provided with one or more indoor air conditioners. When the temperature of the building is controlled by the multi-split air conditioner in a historical time period, historical operation data of the multi-split air conditioner in the historical time period may be collected.

[0038] By analyzing and calculating the historical operating data of the multi-split air conditioner in the historical time period, we can obtain the historical unit cooling capacity at each time point when the multi-split air conditioner performed temperature control in the historical time period. The historical unit cooling capacity at each time point is equal to the building load at each time point in the historical time period.

[0039] Construct a thermal equivalent model of the building site. The thermal equivalent model is also called the RC model. The thermal equivalent model is a model used to describe the thermal dynamic characteristics of the building site. The thermal equivalent model includes parameters such as thermal resistance (R), heat capacity (C), cooling capacity, and ambient temperature. Among them, the heat energy stored in the room of the building site is represented by heat capacity (C), and the size of the room's resistance to heat transfer is represented by thermal resistance (R).

[0040] The thermal equivalent model is optimized for parameters based on the historical indoor and outdoor ambient temperatures and historical unit cooling capacities of the building site in historical time periods through a genetic algorithm. Specifically, the historical indoor and outdoor ambient temperatures are used as the ambient temperatures in the thermal equivalent model. Then, the thermal equivalent model is optimized for parameters through a genetic algorithm. The optimization goal is to minimize the difference between the estimated value of the cooling capacity and the historical unit cooling capacity (for example, a root mean square error that reflects the difference between the two), thereby obtaining optimized parameter values ​​that meet the optimization goal. The optimized parameter values ​​may include a value of thermal resistance (R) and a value of heat capacity (C).

[0041] The optimized parameter value is brought into the thermal equivalent model, and the thermal equivalent model with the optimized parameter value is the optimized thermal equivalent model. When the multi-split air conditioner is subsequently regulated, the real-time indoor and outdoor ambient temperature of the building site at each regulation time point is input into the optimized thermal equivalent model, and the magnitude of the cooling capacity at each regulation time point can be obtained in real time, and the magnitude of the cooling capacity is the real-time unit cooling capacity (the real-time unit cooling capacity is equal to the real-time building load).

[0042] The multi-split air conditioner can be adjusted in real time according to the real-time unit cooling capacity, so that the capacity output (i.e., the output compressor frequency) of the outdoor unit of the multi-split air conditioner is consistent with the real-time building load demand, avoiding the problem of adjustment lag, reliably avoiding the excessive cooling and high energy consumption caused by the outdoor unit compressor frequency being too high, and avoiding the cooling that does not meet user needs caused by the outdoor unit compressor frequency being too low. For example, refer to Figure 3 When the capacity output of the outdoor unit of the multi-split air conditioner is controlled by conventional means, as shown in the curve segment 310 between the AB segments, the frequency of the outdoor unit compressor is too high, resulting in excessive cooling and high energy consumption; while in the implementation mode of the present application, as shown in the curve segment 320 between the AB segments, the frequency of the outdoor unit compressor is effectively reduced and more smoothly.

[0043] In summary, in this manner of the embodiments of the present application, by analyzing and calculating the historical unit cooling capacity based on the historical operating data of the multi-split air conditioner, and constructing a thermal equivalent model of the building site, the thermal equivalent model is optimized based on the historical indoor and outdoor ambient temperatures of the building site and the historical unit cooling capacity through a genetic algorithm, and an optimized thermal equivalent model is obtained to obtain the real-time unit cooling capacity according to the real-time indoor and outdoor ambient temperatures of the building site. The multi-split air conditioner is regulated according to the real-time unit cooling capacity, so that the capacity output of the outdoor unit of the multi-split air conditioner can be kept consistent with the real-time building load demand, thereby reliably improving the temperature control stability of the multi-split air conditioner and reducing the energy consumption of the multi-split air conditioner system.

[0044] Described below Figure 1 When performing multi-split air conditioning control under the embodiment, further optional specific embodiments are provided for each step performed.

[0045] In one embodiment, the historical operating data includes high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement; the analysis and calculation based on the historical operating data of the multi-split air conditioner in the building site in the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period may include: inputting the high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement into a preset neural network model to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period output by the preset neural network model.

[0046] In this embodiment, the historical operation data includes the high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement of the multi-split air conditioner in the historical time period. Among them, high pressure: the pressure of the refrigerant at the outlet of the condenser, reflecting the state of the high pressure side of the system. Low pressure: the pressure of the refrigerant at the outlet of the evaporator, reflecting the state of the low pressure side of the system. Condensation temperature: the temperature when the refrigerant changes from gas to liquid in the condenser, which is related to the high pressure. Evaporation temperature: the temperature when the refrigerant changes from liquid to gas in the evaporator, which is related to the low pressure. The compressor suction and exhaust temperature includes the compressor suction temperature and the compressor exhaust temperature; the compressor suction temperature: the temperature when the refrigerant enters the compressor; the compressor exhaust temperature: the temperature when the refrigerant leaves the compressor. Compressor frequency: the operating frequency of the compressor motor, usually controlled by a frequency converter, which affects the compressor speed and cooling capacity. Compressor displacement: the volume of refrigerant discharged by the compressor per unit time, which determines the cooling or heating capacity of the system.

[0047] The preset neural network model is a pre-trained neural network model used to predict and analyze the historical unit cooling capacity based on these historical operation data. The preset neural network model can be obtained by fine-tuning the large language model or by training the neural network of other optional network structures. The high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement are input into the preset neural network model. The preset neural network model can efficiently and accurately analyze and output the historical unit cooling capacity of the multi-split air conditioner in the historical time period based on these input data.

[0048] Furthermore, in one embodiment, the historical operating data includes refrigerant flow, evaporator inlet enthalpy and evaporator outlet enthalpy; the historical operating data of the multi-split air conditioner in the building site in the historical time period is analyzed and calculated to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period, including: calculation according to the formula Q1=m*(h1-h2), wherein Q is the historical unit cooling capacity, m is the refrigerant flow, h1 is the evaporator inlet enthalpy, and h2 is the evaporator outlet enthalpy.

[0049] In this embodiment, the historical operation data includes the refrigerant flow rate, evaporator inlet enthalpy value and evaporator outlet enthalpy value of the multi-split air conditioner in the historical time period. Among them, the evaporator inlet enthalpy value: the energy state of the refrigerant when entering the evaporator. The evaporator outlet enthalpy value: the energy state of the refrigerant when leaving the evaporator.

[0050] According to the formula Q1=m*(h1-h2), the historical unit cooling capacity of the multi-split air conditioner in the historical time period can also be accurately calculated using the refrigerant flow rate, the evaporator inlet enthalpy value and the evaporator outlet enthalpy value.

[0051] In some embodiments, the thermal equivalent model of the building site is the thermal equivalent model of the entire building site; the step of optimizing the parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values ​​comprises: optimizing the parameters of the thermal equivalent model of the entire building site based on the historical indoor and outdoor environments and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values; accordingly, the step of applying the optimized parameter values ​​to the thermal equivalent model to obtain an optimized thermal equivalent model comprises: applying the optimized parameter values ​​to the thermal equivalent model of the entire building site to obtain an optimized thermal equivalent model of the entire building site.

[0052] In this embodiment, the thermal equivalent model is a thermal equivalent model of the entire building site. When the thermal equivalent model is a thermal equivalent model of the entire building site, the historical indoor and outdoor ambient temperatures include "the historical indoor ambient temperature of the entire building site in the historical time period" and "the historical outdoor ambient temperature of the building site in the historical time period", wherein the "historical indoor ambient temperature of the entire building site" can specifically be the average temperature of the return air temperatures of all indoor units set in all rooms in the building site in the historical time period.

[0053] Through genetic algorithms, the parameters of the thermal equivalent model of the entire building site can be optimized based on the historical indoor and outdoor environment and the historical unit cooling capacity. When optimizing the parameters, the error between the estimated total unit cooling capacity of the thermal equivalent model and the historical unit cooling capacity is minimized as the optimization goal, and finally the optimized parameter value that meets the optimization goal is obtained. The optimized parameter value is applied to the thermal equivalent model of the entire building site to obtain the optimized thermal equivalent model of the entire building site.

[0054] Accordingly, under this implementation mode, when the real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model, the real-time indoor and outdoor ambient temperatures of the building site may include "the real-time indoor ambient temperature of the entire building site" and "the real-time outdoor ambient temperature of the building site", wherein "the real-time indoor ambient temperature of the entire building site" may specifically be the temperature average of the real-time return air temperatures of all indoor units installed in all rooms in the building site.

[0055] Further, in one embodiment, the thermal equivalent model of the building site includes thermal equivalent models of each room in which indoor units are installed in the building site; the method of optimizing parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values ​​comprises: optimizing parameters of the thermal equivalent model of each room based on the historical indoor and outdoor environments and the historical unit cooling capacity through a genetic algorithm to obtain optimized parameter values ​​of the thermal equivalent model of each room; accordingly, the method of applying the optimized parameter values ​​to the thermal equivalent model to obtain an optimized thermal equivalent model comprises: applying the optimized parameter values ​​of the thermal equivalent model of each room to the thermal equivalent model of each room to obtain an optimized thermal equivalent model of each room.

[0056] In this embodiment, the thermal equivalent model includes the thermal equivalent model of each room where the indoor unit is installed. For example, a corresponding thermal equivalent model 1 is constructed for room 1, a corresponding thermal equivalent model 2 is constructed for room 2, and a corresponding thermal equivalent model n is constructed for room n. When the thermal equivalent model includes the thermal equivalent model of each room where the indoor unit is installed, the historical indoor and outdoor ambient temperature includes the historical indoor and outdoor ambient temperature of each room, and the historical indoor and outdoor ambient temperature of each room includes "the historical indoor ambient temperature of each room in the historical time period" and "the historical outdoor ambient temperature of the building site in the historical time period", wherein the "historical indoor ambient temperature of each room" is the average temperature of the return air temperature of the indoor unit set in each room in the historical time period.

[0057] Based on the historical indoor and outdoor environment and historical unit cooling capacity, the thermal equivalent model of each room is optimized by genetic algorithm. The historical indoor and outdoor environment temperature of each room is input into the thermal equivalent model of each room. The error between the "sum of the estimated cooling capacity of the sub-historical unit cooling capacity" and the "historical unit cooling capacity" of the thermal equivalent model of all rooms is minimized as the optimization target. Finally, the optimized parameter values ​​of the thermal equivalent model of each room that meet the optimization target are obtained. The optimized parameter values ​​of the thermal equivalent model of each room are applied to the thermal equivalent model of each room to obtain the optimized thermal equivalent model of each room.

[0058] Accordingly, under this implementation mode, the real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, including: inputting the real-time indoor and outdoor ambient temperatures of each room in the building site into the optimized thermal equivalent model of each room respectively to obtain the sub-real-time unit cooling capacity of each room; summing the sub-real-time unit cooling capacities of the rooms included in the building site to obtain the real-time unit cooling capacity.

[0059] Specifically, in this embodiment, the real-time indoor and outdoor ambient temperature of the building site may specifically include the real-time indoor and outdoor ambient temperature of each room in the building site, and the real-time indoor and outdoor ambient temperature of each room may specifically include "the real-time indoor ambient temperature of each room" and "the real-time outdoor ambient temperature of the building site", wherein "the real-time indoor ambient temperature of each room" may be the temperature average of the real-time return air temperature of all indoor units set in each room. Further, the real-time indoor and outdoor ambient temperature of each room is respectively input into the optimized thermal equivalent model of each room to obtain the sub-real-time unit cooling capacity output by the optimized thermal equivalent model of each room, and the final real-time unit cooling capacity is the sum of the cooling capacity of the sub-real-time unit cooling capacity output by the optimized thermal equivalent model of all rooms.

[0060] Furthermore, the method of inputting the real-time indoor and outdoor ambient temperatures of each room in the building site into the optimized thermal equivalent model of each room to obtain the sub-real-time unit cooling capacity of each room may include: determining the rooms in the building site with the indoor units turned on; inputting the real-time indoor and outdoor ambient temperatures of each room in the building site with the indoor units turned on into the optimized thermal equivalent model of each room with the indoor units turned on to obtain the sub-real-time unit cooling capacity of each room with the indoor units turned on.

[0061] After determining the room where the indoor unit is turned on, the real-time indoor and outdoor ambient temperatures of each room where the indoor unit is turned on are input into the optimized thermal equivalent model of each room where the indoor unit is turned on, and the sub-real-time unit cooling capacity of each room where the indoor unit is turned on is obtained. Then, the sub-real-time unit cooling capacity of each room where the indoor unit is turned on is summed as the final real-time unit cooling capacity. Furthermore, when the indoor unit in a room is turned off, the load of the room can be ignored, and only the load of the turned-on room can be calculated, further ensuring that the building load is equal to the output of the unit, and further effectively balancing the building load and unit output when the multi-split air conditioner is running at partial load.

[0062] Furthermore, in one embodiment of the present application, the thermal equivalent model specifically adopts the 4R3C model. The applicant has found that the 4R3C model can reliably improve the temperature control stability of the multi-split air conditioner and reduce the energy consumption of the multi-split air conditioner system. It can be understood that in other embodiments, the thermal equivalent model can also adopt an optional model such as the 3R2C model. Among them, R refers to thermal resistance and C refers to heat capacity.

[0063] For the 4R3C model, see Figure 4 The 4Rs in this model are “R win , R1, R2 and R3", in this model, 3C are Cw1, Cw2 and C a , as shown in the following formula:

[0064]

[0065] Cw1 is the heat capacity of the first wall, m w is the wall mass, Cw1m w is the total heat capacity of the first wall, A w Refers to the wall area, R1, R2 and R3 are all wall thermal resistance, R1 / A w , R2 / A w 、R3 / A w are the thermal resistance per unit area of ​​the wall, T in (t) is the indoor air temperature at time t (e.g., the historical indoor ambient temperature at a historical moment or the real-time indoor ambient temperature at a real-time moment), T out (t) is the outdoor temperature at time t (for example, the historical outdoor ambient temperature at a historical moment or the real-time outdoor ambient temperature at a real-time moment), and T1 and T2 are virtual node temperatures.

[0066] C a Heat capacity of air, m a is the air quality, C a m a is the total heat capacity of air, R win is the window thermal resistance, A win is the window area, R win / A win is the thermal resistance per unit area of ​​the window, Q is the heating and cooling capacity (e.g., estimated total unit cooling capacity, estimated sub-historical unit cooling capacity, real-time unit cooling capacity, or sub-real-time unit cooling capacity), Q inf is the cooling caused by infiltration, Q solar is the solar radiation heat acting on the indoor air, Q in is the heat gain inside the building acting on the indoor air. in (t), T out All parameters except (t) and Q need to obtain the corresponding optimized parameter values ​​through parameter optimization.

[0067] In one embodiment, regulating the multi-split air conditioner according to the real-time unit cooling capacity may include: querying a preset compressor frequency corresponding to the real-time unit cooling capacity from a preset control table, and controlling the operation of the compressor in the outdoor unit of the multi-split air conditioner according to the preset compressor frequency.

[0068] Furthermore, in one embodiment, the step of regulating the multi-split air conditioner according to the real-time cooling capacity of the unit includes: according to the formula Q2=af 2 +bf+c calculates the compressor frequency, where Q2 is the real-time unit cooling capacity, f is the compressor frequency, and a, b, and c are preset coefficients; the compressor in the outdoor unit of the multi-split air conditioner is controlled according to the compressor frequency. According to the formula Q2=af 2+bf+c can accurately calculate a stable and reliable compressor frequency. The compressor frequency calculated according to this formula is used to control the operation of the compressor of the air-conditioning outdoor unit, which can further improve the temperature control stability of the multi-split air conditioner.

[0069] In addition, the embodiment of the present application also provides a multi-split air conditioning control device, which can be applied to a device. Figure 5 As shown, Figure 5 A multi-split air conditioning control device according to an embodiment of the present application is shown. Specifically, the multi-split air conditioning control device 400 may include a processor 401 of one or more processing cores and a memory 402 of one or more computer-readable storage media.

[0070] The processor 401 can load the executable files corresponding to the processes of one or more computer programs into the memory 402 according to the instructions, and the processor 401 can run the computer programs stored in the memory 402, so as to realize the various functions in the embodiments of the aforementioned multi-split air conditioning control method of the present application.

[0071] For example, the processor 401 may execute the following steps:

[0072] According to the historical operation data of the multi-split air conditioner in the building site in the historical time period, the historical unit cooling capacity of the multi-split air conditioner in the historical time period is obtained by analysis and calculation; a thermal equivalent model of the building site is constructed, and the parameters of the thermal equivalent model are optimized by a genetic algorithm based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity to obtain optimized parameter values; the optimized parameter values ​​are applied to the thermal equivalent model to obtain an optimized thermal equivalent model; the real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, so as to control the multi-split air conditioner according to the real-time unit cooling capacity.

[0073] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by a computer program, or by controlling related hardware through a computer program. The computer program may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0074] To this end, an embodiment of the present application further provides a storage medium, in which a computer program is stored. The computer program can be loaded by a processor to execute the steps in any method provided in the embodiment of the present application.

[0075] The storage medium may be a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0076] Since the computer program stored in the storage medium can execute the steps in any method provided in the embodiments of the present application, the beneficial effects that can be achieved by the method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0077] In addition, see Figure 6 The embodiment of the present application also provides a multi-split air conditioner, and the multi-split air conditioner 500 may include Figure 5 The multi-split air conditioning control device 400 and other air conditioning modules 600 (such as indoor units and outdoor units, etc.) are shown.

[0078] According to another embodiment of the present application, a computer program product or a computer program includes computer instructions stored in a computer-readable storage medium. A processor of a multi-split air conditioning control device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the multi-split air conditioning control device executes the methods provided in various optional implementations described in the embodiments of the present application.

[0079] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0080] It should be understood that the present application is not limited to the embodiments that have been described above and shown in the accompanying drawings, but various modifications and changes may be made without departing from the scope thereof.

Claims

1. A multi-split air conditioner control method, characterized in that: include: Analyze and calculate the historical operation data of the multi-split air conditioner in the building site during the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner during the historical time period; Constructing a thermal equivalent model of the building site, and optimizing the parameters of the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity by a genetic algorithm to obtain optimized parameter values; Applying the optimized parameter values ​​to the thermal equivalent model to obtain an optimized thermal equivalent model; The real-time indoor and outdoor ambient temperatures of the building site are input into the optimized thermal equivalent model to obtain the real-time unit cooling capacity, so as to regulate the multi-split air conditioner according to the real-time unit cooling capacity.

2. The method according to claim 1, characterized in that The historical operation data includes high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement; The analyzing and calculating according to the historical operation data of the multi-split air conditioner in the building site in the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period includes: The high pressure, low pressure, condensing temperature, evaporating temperature, compressor suction and exhaust temperature, compressor frequency and compressor displacement are input into a preset neural network model to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period output by the preset neural network model.

3. The method according to claim 1, characterized in that The historical operation data includes refrigerant flow rate, evaporator inlet enthalpy value and evaporator outlet enthalpy value; The analyzing and calculating according to the historical operation data of the multi-split air conditioner in the building site in the historical time period to obtain the historical unit cooling capacity of the multi-split air conditioner in the historical time period includes: The calculation is performed according to the formula Q1=m*(h1-h2), where Q is the historical unit cooling capacity, m is the refrigerant flow rate, h1 is the evaporator inlet enthalpy, and h2 is the evaporator outlet enthalpy.

4. The method according to claim 1, characterized in that: The thermal equivalent model of the building site includes thermal equivalent models of each room in which indoor units are installed in the building site; the method of performing parameter optimization on the thermal equivalent model based on the historical indoor and outdoor ambient temperatures of the building site in the historical time period and the historical unit cooling capacity by using a genetic algorithm to obtain optimized parameter values ​​includes: Based on the historical indoor and outdoor environment and the historical unit cooling capacity, the thermal equivalent model of each room is optimized by using a genetic algorithm to obtain the optimized parameter value of the thermal equivalent model of each room; Accordingly, applying the optimized parameter value to the thermal equivalent model to obtain the optimized thermal equivalent model includes: The optimized parameter values ​​of the thermal equivalent model of each room are applied to the thermal equivalent model of each room respectively to obtain the optimized thermal equivalent model of each room.

5. The method according to claim 1, characterized in that The step of inputting the real-time indoor and outdoor ambient temperature of the building site into the optimized thermal equivalent model to obtain the real-time unit cooling capacity includes: Inputting the real-time indoor and outdoor ambient temperature of each room in the building into the optimized thermal equivalent model of each room to obtain the sub-real-time unit cooling capacity of each room; The sub-real-time unit cooling capacities of the rooms included in the building site are summed to obtain the real-time unit cooling capacity.

6. The method according to claim 5, characterized in that The real-time indoor and outdoor ambient temperatures of each room in the building site are input into the optimized thermal equivalent model of each room to obtain the sub-real-time unit cooling capacity of each room, including: Determine the room in the building where the indoor unit is turned on; The real-time indoor and outdoor ambient temperatures of each room in the building with the indoor unit turned on are respectively input into the optimized thermal equivalent model of each room with the indoor unit turned on to obtain the sub-real-time unit cooling capacity of each room with the indoor unit turned on.

7. The method according to any one of claims 1 to 6, characterized in that: The step of regulating the multi-split air conditioner according to the real-time unit cooling capacity includes: According to the formula Q2 = af 2 +bf+c to calculate the compressor frequency, where Q2 is the real-time unit cooling capacity, f is the compressor frequency, and a, b, and c are preset coefficients respectively; The operation of the compressor in the outdoor unit of the multi-split air conditioner is controlled according to the compressor frequency.

8. A multi-connected air conditioning control device, characterized in that: include: a memory storing a computer program; A processor reads a computer program stored in a memory to execute the method according to any one of claims 1 to 7.

9. A storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor of a multi-split air-conditioning control device, the multi-split air-conditioning control device executes the method described in any one of claims 1 to 7.

10. A multi-split air conditioner, characterized in that: It includes the multi-split air conditioning control device as described in claim 8 and other air conditioning modules.

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