Self-adaptive multi-split air conditioning system control method, device and system and medium

CN120101276APending Publication Date: 2025-06-06SHENZHEN KEHAI BUILDING INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510293807.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-13
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

Traditional multi-online air conditioning systems have lower energy efficiency in low load scenarios, resulting in a significant decline in COP.

Method used

By obtaining environmental parameters, calculating the supply air temperature and indoor load, and calculating the target suction pressure, target exhaust pressure and target fan speed based on these parameters, the multiple online air conditioning systems are then adaptively controlled so that their suction pressure, exhaust pressure and fan speed are consistent with the target value.

Benefits of technology

Adaptive control is realized based on real-time environmental parameters, and the energy efficiency of multiple online air conditioning systems is improved.

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Abstract

The invention discloses a self-adaptive multi-split air conditioning system control method, device and system and a medium. The method comprises the steps that environmental parameters are obtained, and the air supply temperature and the indoor load are calculated based on the environmental parameters; target suction pressure and target exhaust pressure are calculated according to the air supply temperature and the environment parameters, and the target fan rotating speed is calculated according to the indoor load; and the multi-split air conditioning system is controlled so that the suction pressure, the exhaust pressure and the fan rotating speed of the multi-split air conditioning system can be consistent with the target suction pressure, the target exhaust pressure and the target fan rotating speed correspondingly. The air conditioning system can be adaptively adjusted according to the environmental parameters, so that the energy efficiency of the air conditioning system is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of multi-split air conditioning systems, and in particular to a method, device, system and medium for controlling a self-adaptive multi-split air conditioning system. Background Art

[0002] A multi-split air conditioning system is a refrigerant air conditioning system that controls the refrigerant circulation volume of the compressor and the refrigerant flow entering the indoor heat exchanger to meet the indoor cooling and heating load requirements. The evaporation temperature and condensation temperature of a traditional multi-split air conditioning system are usually fixed values. For example, the evaporation temperature is usually fixed between 5℃-7℃, and the condensation temperature is usually fixed between 45℃-50℃. This will result in the evaporation temperature remaining low and the condensation temperature remaining high in some low-load environments, such as at night or in low-temperature seasons, resulting in a significant decrease in COP (Coefficient of Performance), thereby reducing the system energy efficiency. Summary of the invention

[0003] The embodiments of the present invention provide an adaptive multi-split air conditioning system control method, device, system and medium, aiming to solve the problem of low energy efficiency of the current multi-split air conditioning system under low load scenarios.

[0004] In a first aspect, an embodiment of the present invention provides an adaptive multi-split air conditioning system control method, the method comprising:

[0005] Acquiring environmental parameters, and calculating supply air temperature and indoor load respectively based on the environmental parameters;

[0006] Calculating a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameters, respectively, and calculating a target fan speed according to the indoor load;

[0007] The multi-split air conditioning system is controlled so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed respectively.

[0008] In a second aspect, an embodiment of the present invention further provides an adaptive multi-split air conditioning system control device, the device comprising:

[0009] A first acquisition unit, used to acquire environmental parameters, and calculate the supply air temperature and the indoor load based on the environmental parameters;

[0010] a first calculation unit, configured to calculate a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameter, respectively, and to calculate a target fan speed according to the indoor load;

[0011] The first regulating unit is used to control the multi-split air conditioning system so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed respectively.

[0012] In a third aspect, an embodiment of the present invention further provides a multi-split air-conditioning system, which includes an air conditioner, wherein the air conditioner includes a memory and a processor connected to the memory, wherein a computer program is stored in the memory, and the processor implements the above method when executing the computer program.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program can implement the above method when executed by a processor.

[0014] The embodiment of the present invention provides an adaptive multi-split air conditioning system control method, device, system and medium. The method includes: obtaining environmental parameters, and calculating the supply air temperature and indoor load respectively based on the environmental parameters; calculating the target suction pressure and the target exhaust pressure respectively according to the supply air temperature and the environmental parameters, and calculating the target fan speed according to the indoor load; controlling the multi-split air conditioning system so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are respectively consistent with the target suction pressure, the target exhaust pressure and the target fan speed. The embodiment of the present invention can obtain environmental parameters in real time, and calculate the supply air temperature and indoor load based on environmental parameters and equipment parameters, and then calculate the target suction pressure and the target exhaust pressure respectively based on the supply air temperature and environmental parameters, and calculate the target fan speed according to the indoor load, so that the suction pressure of the compressor of the multi-split air conditioning system can be consistent with the target suction pressure, the exhaust pressure can be consistent with the target exhaust pressure, and the fan speed of the multi-split air conditioning system can be consistent with the target fan speed, so that the multi-split air conditioning system can be adaptively controlled according to the real-time environment to improve the system energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0016] Figure 1 is a flow chart of a method for controlling an adaptive multi-split air conditioning system provided by an embodiment of the present invention;

[0017] Figure 2is a schematic diagram of a first sub-process of a method for controlling an adaptive multi-split air conditioning system provided by an embodiment of the present invention;

[0018] Figure 3 is a schematic diagram of a second sub-process of the adaptive multi-split air conditioning system control method provided by an embodiment of the present invention;

[0019] Figure 4 is a schematic diagram of a third sub-process of the adaptive multi-split air conditioning system control method provided by an embodiment of the present invention;

[0020] Figure 5 is a schematic diagram of a fourth sub-process of the adaptive multi-split air conditioning system control method provided by an embodiment of the present invention;

[0021] Figure 6 is a schematic block diagram of an adaptive multi-split air conditioning system control device provided by an embodiment of the present invention;

[0022] Figure 7 It is a schematic block diagram of a multi-split air conditioning system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, operations, elements, components and / or groups thereof.

[0025] It should also be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, the singular forms of "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0026] See also Figure 1 , Figure 11 is a flow chart of an adaptive multi-split air conditioning system control method provided by an embodiment of the present invention. The adaptive multi-split air conditioning system control method of the embodiment of the present invention can be applied to a multi-split air conditioning system to control the system according to environmental parameters and equipment parameters to improve energy efficiency. Figure 1 As shown, the method includes steps S100 to S120.

[0027] S100, obtaining environmental parameters, and calculating supply air temperature and indoor load based on the environmental parameters.

[0028] In the embodiment of the present invention, the multi-split air conditioning system (hereinafter referred to as the air conditioning system) can collect environmental parameters inside and outside the building and its own operating status in real time. The environmental parameters may include parameters such as outdoor temperature, indoor temperature, indoor occupant density, equipment heat load, refrigeration base temperature and indoor carbon dioxide concentration, and the operating status may include evaporation temperature and condensation temperature. For example, a high-precision temperature and humidity sensor may be provided in the multi-split air conditioning system, and humidity data and temperature data may be collected respectively through the temperature and humidity sensor, and the operating status of the system itself can be directly read.

[0029] Supply air temperature refers to the temperature of the air sent into the room after being processed by the air conditioning system. It is used to adjust the indoor temperature to ensure the comfort of the indoor environment and the energy efficiency of the air conditioning system. Indoor load refers to the total amount of heat that the air conditioning system needs to remove or add from the room to maintain the indoor environment at the set temperature. Removing heat corresponds to cooling, and adding heat corresponds to heating.

[0030] When the air conditioning system is running, it can collect environmental data in real time through various types of sensors, such as outdoor temperature. When collecting data, you can set the collection interval to collect data every 5 seconds or every 10 seconds. The air conditioning system adjusts the operating status according to the newly collected data to adapt to the environmental parameters, so as to improve energy efficiency.

[0031] In some embodiments, for example, in embodiments of the present invention, Figure 2 As shown, the step 100 includes steps S101-S102.

[0032] S101, respectively obtaining an outdoor temperature and a cooling base temperature, and substituting the outdoor temperature and the cooling base temperature into a first preset calculation formula to obtain the supply air temperature, wherein the environmental parameters include the outdoor temperature and the cooling base temperature, and the first preset calculation formula is:

[0033] T s-cooling =13+a(T out -T b )(1)

[0034] Among them, Ts-cooling is the supply air temperature, T out is the outdoor temperature, T b is the refrigeration base temperature, a is the fitting parameter;

[0035] S102, respectively obtaining outdoor humidity, indoor carbon dioxide concentration, reference humidity, reference carbon dioxide concentration and reference load, and substituting the outdoor temperature, the refrigeration base temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load into a second preset calculation formula to obtain the indoor load, wherein the environmental parameters include the outdoor temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load, and the second preset calculation formula is:

[0036]

[0037] Among them, a, b, c 0 , c 1 , d 0 , d 1 are fitting parameters, Q b is the reference load, h out is the outdoor humidity, h r is the reference humidity, CO2 is the indoor carbon dioxide concentration, CO2 r is the baseline carbon dioxide concentration.

[0038] In an embodiment of the present invention, environmental parameters may include outdoor temperature and cooling base temperature. Outdoor temperature may be collected by a temperature sensor. Cooling base temperature is a climate reference temperature set by the air conditioning system, which is related to the thermal characteristics of the building and the regional climate characteristics. That is, the cooling base temperature may be adjusted accordingly according to the specific building and region. For example, the cooling base temperature of the air conditioning system of an office building is 25°C, indicating that when the outdoor temperature is 25°C, the supply air temperature is set according to the basic value. It can be seen from the first preset formula that the basic value is 13°C, that is, when the outdoor temperature is 25°C, the supply air temperature is 13°C. If the outdoor temperature rises to 30°C and the fitting parameter a is 0.5, the corresponding supply air temperature is increased to 15.5°C, wherein the fitting parameter may be obtained by least squares method or machine learning fitting.

[0039] From the second preset formula, it can be seen that the indoor load is related to the outdoor humidity, indoor carbon dioxide concentration, baseline humidity, baseline carbon dioxide concentration and baseline load. The outdoor humidity and indoor carbon dioxide concentration can be obtained through sensor collection. The baseline humidity and baseline carbon dioxide concentration are empirical values ​​and can be set according to the specific building and region. a, b, c 0 , c 1 , d0 , d 1 All of them are fitting parameters and can be obtained through fitting. For example, the air conditioning system can be connected to the cloud platform, and the air conditioning system sends the operating data generated during its operation to the cloud platform, including temperature, humidity, carbon dioxide concentration, actual load and other data, and then the cloud platform fits the parameters through the least squares method or machine learning. The specific fitting process will not be described here.

[0040] Let's take a specific example to illustrate. If the fitting result of an office building is a=0.2,b=0.005,c 0 =0.15, c 1 =0.002, d 0 =0.1,d 1 =0.0003, substituting the above fitting parameters into the second preset formula:

[0041]

[0042] If the outdoor temperature is 32°C, the outdoor humidity is 28%, the indoor carbon dioxide concentration is 800ppm, the cooling base temperature is 25°C, the reference humidity is 50%, the reference carbon dioxide concentration is 1000ppm, and the reference load is 5kW, then we can substitute into formula (3):

[0043]

[0044] According to formula (4), we have:

[0045] Q=5+1.4+0.245-3.3-0.968-20+12(5)

[0046] According to formula (5), Q=-5.623kW, where the absolute value of Q represents the cooling power demand or the heating power demand, and the sign represents the direction, with negative values ​​representing cooling and positive values ​​representing heating. That is, the larger the absolute value of Q, the higher the fan speed required by the air-conditioning system, and the smaller the absolute value of Q, the lower the fan speed required by the air-conditioning system.

[0047] S110, calculating a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameters, and calculating a target fan speed according to the indoor load.

[0048] In an embodiment of the present invention, after the supply air temperature is confirmed, the target suction pressure is calculated according to the supply air temperature, the target exhaust pressure is calculated according to the environmental parameters, and the target fan speed is calculated according to the indoor load. For example, after the supply air temperature is obtained, the evaporation temperature can be calculated according to the supply air temperature, the condensation temperature can be calculated according to the environmental parameters, and then the target suction pressure can be confirmed according to the evaporation temperature and the target exhaust pressure can be calculated according to the condensation temperature, so that the frequency of the compressor of the air-conditioning system can be controlled to maintain the current suction pressure of the air-conditioning system consistent with the target suction pressure and the current exhaust pressure consistent with the target exhaust pressure. At the same time, the fan speed can also be controlled according to the indoor load to maintain the current fan speed consistent with the target fan speed, thereby realizing adaptive control of the air-conditioning system according to the environmental parameters.

[0049] In some embodiments, for example, in embodiments of the present invention, Figure 3 As shown, step 110 includes steps S111-S112.

[0050] S111, substituting the supply air temperature into a third preset calculation formula to obtain an evaporation temperature, wherein the third preset calculation formula is:

[0051] T evaporation =T S-cooling -C(6)

[0052] Among them, T evaporation is the evaporation temperature, T s-cooling is the supply air temperature, C is a constant associated with the suction pressure;

[0053] S112: Calculate the target intake pressure according to the evaporation temperature.

[0054] In the embodiment of the present invention, it can be known from the third preset formula that the evaporation temperature is positively correlated with the supply air temperature, that is, the higher the supply air temperature, the higher the evaporation temperature, wherein C is a parameter associated with the suction pressure, which can be obtained by testing a specific air conditioning system, that is, different air conditioning systems have different C values, while for the same air conditioning system, its C value is a fixed value. For example, if the supply air temperature is 15°C and the C value is 8°C, the evaporation temperature is 7°C, the air conditioning system adjusts the evaporation temperature to 7°C, and calculates the target suction pressure based on the evaporation temperature of 7°C. The target suction pressure obtained from the evaporation temperature can be confirmed by looking up a table or by a method commonly used by those skilled in the art, and the specific process is not described here.

[0055] In some embodiments, for example, in embodiments of the present invention, Figure 4 As shown, the step 110 also includes steps S113-S114.

[0056] S113, substituting the outdoor temperature into a fourth preset calculation formula to obtain a condensation temperature, wherein the fourth preset calculation formula is:

[0057] T condensation =T out +D(7)

[0058] Among them, T condensation is the condensation temperature, T out is the outdoor temperature, D is a constant associated with the exhaust pressure;

[0059] S114: Calculate the target intake pressure according to the condensation temperature.

[0060] In the embodiment of the present invention, it can be known from the fourth preset formula that the condensing temperature is associated with the outdoor temperature and the constant D. The outdoor temperature can be obtained by collecting the sensor, and the constant D value is associated with the exhaust pressure of the compressor, which can be obtained by testing the specific air-conditioning system, that is, the D value can be adjusted according to different air-conditioning systems. For the same air-conditioning system, its D value is usually a fixed value. For example, if the outdoor temperature is 30°C and D is 15°C, the condensing temperature can be obtained from the fourth preset formula to be 45°C, then the air-conditioning system adjusts the condensing temperature to 45°C, and calculates the target exhaust pressure based on the evaporation temperature of 45°C. The target exhaust pressure obtained from the condensing temperature can be confirmed by looking up a table or by a method commonly used by those skilled in the art, and the specific process is not described here.

[0061] In some embodiments, for example, in an embodiment of the present invention, step 110 further includes the following steps: substituting the indoor load into a fifth preset calculation formula to obtain the target fan speed, wherein the fifth preset calculation formula is:

[0062] Fs=a 0 ×T s-cooling +a 1 ×T s-cooling 2 +b 1 ×CO2+b 2 CO2 2 +e 0 ×Q+e 1 ×Q 2 (8)

[0063] Among them, a 0 , a 1 , b 1 , b 2 , e 0 and e 1 are fitting parameters.

[0064] In the embodiment of the present invention, it can be known from the fifth preset formula that the target fan speed is associated with the air supply temperature, the indoor carbon dioxide concentration and the indoor load, a 0 , a 1 , b 1 , b 2 , e 0 and e 1 All of them are fitting parameters, which can be obtained by least square method or machine learning fitting. For example, if the air supply temperature is 16°C, the indoor carbon dioxide concentration is 1200ppm, the indoor load is 8kW, and a0=10, a1=-0.2, b1=0.05, b2=-0.0001, e0=0.5, e1=0.01, then substitute the above parameters into the fifth preset formula to obtain:

[0065] Fs=160+-0.2×16 2 +0.05×1200+-0.0001×1200+0.5×8+0.01×8(9)

[0066] From formula (9), the target fan speed can be obtained to be 70.44 rpm, that is, under the current environmental parameters, the optimal fan speed of the air-conditioning system is 70.44 rpm.

[0067] S120, controlling the multi-split air conditioning system so that the suction pressure, the exhaust pressure and the fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed, respectively.

[0068] In an embodiment of the present invention, after confirming the target intake pressure, target exhaust pressure and target fan speed, the air-conditioning system adjusts the expansion valve opening, compressor frequency and fan speed of the air-conditioning system according to the target intake pressure, target exhaust pressure and target fan speed to maintain the current intake pressure of the air-conditioning system consistent with the target intake pressure, maintain the current exhaust pressure consistent with the target exhaust pressure and maintain the current fan speed consistent with the target fan speed.

[0069] In some embodiments, for example, in embodiments of the present invention, Figure 5 As shown, the step 120 includes steps S121-S12.

[0070] S121, adjusting the expansion valve opening and the compressor frequency of the multi-split air conditioning system by a PID adjustment algorithm so that the suction pressure and the exhaust pressure of the multi-split air conditioning system are consistent with the target suction pressure and the target exhaust pressure respectively;

[0071] S122, adjusting the fan speed of the multi-split air-conditioning system by using a PID adjustment algorithm so that the fan speed of the multi-split air-conditioning system is consistent with the target speed.

[0072] In an embodiment of the present invention, when the air-conditioning system is adjusted, the expansion valve opening and the compressor frequency can be adjusted through the PID adjustment algorithm to maintain the suction pressure and exhaust pressure of the compressor consistent with the target suction pressure and the target exhaust pressure. The fan speed can also be controlled through the PID adjustment algorithm to maintain it consistent with the target fan speed, and the indoor carbon dioxide concentration can also be maintained within the allowable value range.

[0073] The following is a comprehensive explanation with a specific example. If the outdoor temperature is 28°C, the cooling base temperature is 25°C, and the fitting parameter a is 0.3, the supply air temperature is 13.9°C, the evaporation temperature is 5.9°C, and the condensation temperature is 43°C. If the outdoor temperature rises from 28°C to 35°C, the supply air temperature is 16°C, the evaporation temperature is 8°C, and the condensation temperature is 50°C. It can be found that when the outdoor temperature changes, the supply air temperature, the evaporation temperature, and the condensation temperature all change accordingly, and the corresponding target suction pressure and target exhaust pressure will also change synchronously. Similarly, when the indoor load changes, the target fan speed will also change accordingly, and the indoor load is related to the indoor carbon dioxide concentration, the outdoor temperature, and the outdoor humidity. That is, when the indoor carbon dioxide concentration, the outdoor temperature, and the outdoor humidity change, the indoor load also changes synchronously, so that the energy efficiency of the air conditioning system can be matched with the environmental parameters to achieve adaptive adjustment.

[0074] The adaptive multi-split air-conditioning system control method disclosed in the present invention can obtain environmental parameters in real time, and calculate the supply air temperature and indoor load based on the environmental parameters, and then confirm the target suction pressure and target exhaust pressure according to the supply air temperature and the target fan speed based on the indoor load, and finally maintain the suction pressure, exhaust pressure and fan speed of the air-conditioning system consistent with the target suction pressure, target exhaust pressure and target fan speed respectively, thereby realizing adaptive adjustment according to environmental parameters and improving energy efficiency.

[0075] Figure 6 2 is a schematic block diagram of an adaptive multi-split air conditioning system control device 200 provided by an embodiment of the present invention. Figure 6 As shown, corresponding to the above adaptive multi-split air conditioning system control method, the present invention also provides an adaptive multi-split air conditioning system control device 200. The adaptive multi-split air conditioning system control device 200 includes a unit for executing the above adaptive multi-split air conditioning system control method. Figure 6 The adaptive multi-split air conditioning system control device 200 includes a first acquisition unit 201, a first calculation unit 202 and a first adjustment unit 203.

[0076] The first acquisition unit 201 is used to acquire environmental parameters and calculate the supply air temperature and indoor load based on the environmental parameters;

[0077] A first calculation unit 202, configured to calculate a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameters, and to calculate a target fan speed according to the indoor load;

[0078] The first regulating unit 203 is used to control the multi-split air conditioning system so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed respectively.

[0079] In some embodiments, such as this embodiment, the first acquisition unit 201 also includes a second acquisition unit and a third acquisition unit.

[0080] The second acquisition unit is used to respectively acquire the outdoor temperature and the cooling basic temperature, and substitute the outdoor temperature and the cooling basic temperature into a first preset calculation formula to obtain the supply air temperature, wherein the environmental parameters include the outdoor temperature and the cooling basic temperature, and the first preset calculation formula is:

[0081] T s-cooling =13+a(T out -T b )

[0082] Among them, T s-cooling is the supply air temperature, T out is the outdoor temperature, T b is the refrigeration base temperature;

[0083] The third acquisition unit is used to respectively acquire the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load, and substitute the outdoor temperature, the refrigeration base temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load into a second preset calculation formula to obtain the indoor load, wherein the environmental parameters include the outdoor temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load, and the second preset calculation formula is:

[0084] Q=Q b +a(T out -T b )+b(T out -T b ) 2 +C 0 (hout -h r )+C 1 (h out -h r ) 2 +d 0 (CO2-CO2 r )+d 1 (CO2-CO2 r ) 2

[0085] Among them, a, b, c 0 , c 1 , d 0 , d 1 are fitting parameters, Q h is the reference load, h out is the outdoor humidity, h r is the reference humidity, CO2 is the indoor carbon dioxide concentration, CO2 r is the baseline carbon dioxide concentration.

[0086] In some embodiments, such as this embodiment, the first computing unit 202 further includes a second computing unit, a third computing unit, a fourth computing unit, a fifth computing unit, and a sixth computing unit.

[0087] The second calculation unit is used to substitute the supply air temperature into a third preset calculation formula to obtain the evaporation temperature, wherein the third preset calculation formula is:

[0088] T evaporation =T S-cooling -C

[0089] Among them, T evaporation is the evaporation temperature, T s-cooling is the supply air temperature, C is a constant associated with the suction pressure;

[0090] a third calculation unit, configured to calculate the target suction pressure according to the evaporation temperature;

[0091] A fourth calculation unit is used to substitute the outdoor temperature into a fourth preset calculation formula to obtain a condensation temperature, wherein the fourth preset calculation formula is:

[0092] T condensation =T out +D

[0093] Among them, T condensation is the condensation temperature, T out is the outdoor temperature, D is a constant associated with the exhaust pressure;

[0094] a fifth calculation unit, configured to calculate the target suction pressure according to the condensation temperature;

[0095] The sixth calculation unit is used to substitute the indoor load into a fifth preset calculation formula to obtain the target fan speed, wherein the fifth preset calculation formula is:

[0096] Fs=T s-cooling +a 1 ×T s-cooling 2 +b 1 ×CO2+b 2 CO2 2 +e 0 ×Q+e 1 ×Q 2

[0097] Among them, a 0 , a 1 , b 1 , b 2 , e 0 and e 1 are fitting parameters.

[0098] In some embodiments, such as this embodiment, the first adjusting unit 203 also includes a second adjusting unit and a third adjusting unit.

[0099] The second regulating unit is used to regulate the expansion valve opening and the compressor frequency of the multi-split air conditioning system through a PID regulating algorithm so that the suction pressure and the exhaust pressure of the multi-split air conditioning system are consistent with the target suction pressure and the target exhaust pressure respectively;

[0100] The third regulating unit is used to regulate the fan speed of the multi-split air-conditioning system through a PID regulating algorithm so that the fan speed of the multi-split air-conditioning system is consistent with the target speed.

[0101] It should be noted that technicians in the relevant field can clearly understand that the specific implementation process of the above-mentioned adaptive multi-split air-conditioning system control device and each unit can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and brevity of description, it will not be repeated here.

[0102] The above-mentioned adaptive multi-split air conditioning system control device can be implemented in the form of a computer program. The computer program can be used in Figure 7 The multi-split air conditioning system shown is running.

[0103] See also Figure 7 , Figure 7This is a schematic block diagram of a multi-split air conditioning system provided in an embodiment of the present application. It can be a terminal or a server, wherein the terminal can be an electronic device with communication function such as a smart phone, a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, and a wearable device. The server can be an independent server or a server cluster composed of multiple servers.

[0104] See also Figure 7 The multi-split air conditioning system 300 includes a processor 302 , a memory and an interface 307 connected via a system bus 301 , wherein the memory may include a non-volatile storage medium 303 and an internal memory 304 .

[0105] The non-volatile storage medium 303 can store an operating system 3031 and a computer program 3032. When the computer program 3032 is executed, the processor 302 can execute an adaptive multi-split air conditioning system control method.

[0106] The processor 302 is used to provide computing and control capabilities to support the operation of the entire multi-split air conditioning system 300 .

[0107] The internal memory 304 provides an environment for the operation of the computer program 3032 in the non-volatile storage medium 303. When the computer program 3032 is executed by the processor 302, the processor 302 can execute an adaptive multi-split air conditioning system control method.

[0108] The interface 305 is used to communicate with other devices. Those skilled in the art will appreciate that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the multi-split air-conditioning system 300 to which the scheme of the present application is applied. The specific multi-split air-conditioning system 300 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0109] It should be understood that in the embodiment of the present application, the processor 302 may be a central processing unit (CPU), and the processor 302 may also be other general-purpose processors, digital signal processors (FSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0110] It is understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a storage medium, which is a computer-readable storage medium. The computer program is executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0111] Therefore, the present invention also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program. When the computer program is executed by a processor, any embodiment of the above-mentioned adaptive multi-split air conditioning system control method is implemented.

[0112] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, or any other computer-readable storage medium that can store program codes.

[0113] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0114] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0115] The steps in the method of the embodiment of the present invention can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present invention can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0116] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a multi-split air conditioning system to perform all or part of the steps of the method described in each embodiment of the present invention.

[0117] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0118] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0119] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for controlling an adaptive multi-split air conditioning system, characterized in that: The method comprises: Acquiring environmental parameters, and calculating supply air temperature and indoor load respectively based on the environmental parameters; Calculating a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameters, respectively, and calculating a target fan speed according to the indoor load; The multi-split air conditioning system is controlled so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed respectively.

2. The method according to claim 1, characterized in that The step of calculating the supply air temperature based on the environmental parameters comprises: The outdoor temperature and the cooling base temperature are obtained respectively, and the outdoor temperature and the cooling base temperature are substituted into a first preset calculation formula to obtain the supply air temperature, wherein the environmental parameters include the outdoor temperature and the cooling base temperature, and the first preset calculation formula is: T s-cooling =13+a(T out -T b ) Among them, T s-cooling is the supply air temperature, T out is the outdoor temperature, T b is the cooling base temperature, and a is the fitting parameter.

3. The method according to claim 2, characterized in that The step of calculating the indoor load based on the environmental parameters comprises: The outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load are obtained respectively, and the outdoor temperature, the refrigeration base temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load are substituted into a second preset calculation formula to obtain the indoor load, wherein the environmental parameters include the outdoor temperature, the outdoor humidity, the indoor carbon dioxide concentration, the reference humidity, the reference carbon dioxide concentration and the reference load, and the second preset calculation formula is: Q=Q b +a(T out -T b )+b(T out -T b ) 2 +C0(h out -h r ) +C1(h out - h r ) 2 +d0(CO 2-CO 2 r )+d1(CO 2-CO 2 r ) 2 Among them, a, b, c0, c1, d0, d1 are all fitting parameters, Q h is the reference load, h out is the outdoor humidity, h r is the reference humidity, CO2 is the indoor carbon dioxide concentration, CO2 r is the baseline carbon dioxide concentration.

4. The method according to claim 2, characterized in that The step of calculating the target suction pressure according to the supply air temperature comprises: Substitute the supply air temperature into a third preset calculation formula to obtain the evaporation temperature, wherein the third preset calculation formula is: T evaporation =T S-cooling -C Among them, T evaporation is the evaporation temperature, T s-cooling is the supply air temperature, C is a constant associated with the suction pressure; The target suction pressure is calculated according to the evaporation temperature.

5. The method according to claim 2, characterized in that The step of calculating the target exhaust pressure according to the environmental parameters comprises: Substitute the outdoor temperature into a fourth preset calculation formula to obtain the condensation temperature, wherein the fourth preset calculation formula is: T condensation =T out +D Among them, T condensation is the condensation temperature, T out is the outdoor temperature, D is a constant associated with the exhaust pressure; The target suction pressure is calculated according to the condensing temperature.

6. The method according to claim 3, characterized in that The step of calculating the target fan speed according to the indoor load comprises: Substitute the indoor load into the fifth preset calculation formula to obtain the target fan speed, wherein the fifth preset calculation formula is: Fs=T s-cooling +a1×T s-cooling 2 +b1×CO2+b2CO2 2 +e0×Q+e1×Q 2 Among them, a0, a1, b1, b2, e0 and e1 are fitting parameters.

7. The method according to claim 1, characterized in that The step of controlling the multi-split air conditioning system so that the suction pressure, the exhaust pressure and the fan speed of the multi-split air conditioning system are respectively consistent with the target suction pressure, the target exhaust pressure and the target fan speed, comprises: The expansion valve opening and the compressor frequency of the multi-split air conditioning system are adjusted by a PID adjustment algorithm so that the suction pressure and the exhaust pressure of the multi-split air conditioning system are consistent with the target suction pressure and the target exhaust pressure respectively; The fan speed of the multi-split air-conditioning system is adjusted by a PID adjustment algorithm so that the fan speed of the multi-split air-conditioning system is consistent with the target speed.

8. An adaptive multi-split air conditioning system control device, characterized in that: The device comprises: A first acquisition unit, used to acquire environmental parameters, and calculate the supply air temperature and the indoor load based on the environmental parameters; a first calculation unit, configured to calculate a target suction pressure and a target exhaust pressure according to the supply air temperature and the environmental parameter, respectively, and to calculate a target fan speed according to the indoor load; The first regulating unit is used to control the multi-split air conditioning system so that the suction pressure, exhaust pressure and fan speed of the multi-split air conditioning system are consistent with the target suction pressure, the target exhaust pressure and the target fan speed respectively.

9. A multi-split air conditioning system, characterized in that: The multi-split air-conditioning system includes an air conditioner, which includes a memory and a processor connected to the memory; the memory is used to store computer programs; the processor is used to run the computer program stored in the memory to execute the steps of the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 can be implemented.