Air conditioner and control method thereof, computer device and readable storage medium

Abstract

The invention provides an air conditioner, a control method of the air conditioner, a computer device and a readable storage medium. The control method of the air conditioner comprises the steps that the outdoor environment temperature, the operation mode of the air conditioner, the operation parameters of the air conditioner and the air conditioner set temperature are obtained; calculating a target building heat load when the set temperature of the air conditioner is maintained; the outdoor environment temperature, the operation parameters, the air conditioner set temperature and the target building heat load are input into a preset neural network model, and the target frequency needed for maintaining the air conditioner set temperature is obtained; the indoor environment temperature is obtained; according to the operation mode, when the indoor environment temperature reaches a preset temperature value, the air conditioner operation frequency is set as the target frequency, and the preset temperature value is equal to the sum of the air conditioner set temperature and the preset temperature difference; in the refrigeration mode, the preset temperature value is larger than or equal to the air conditioner set temperature; in the heating mode, the preset temperature value is smaller than or equal to the air conditioner set temperature. The control method can avoid frequent start and stop of the air conditioner based on the target building heat load and the target frequency.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to an air conditioner and a control method thereof, a computer device and a readable storage medium. Background Art

[0002] When the air conditioner is running, its main goal is to adjust the indoor ambient temperature to the temperature set by the user. However, due to the thermal inertia of the air conditioning system, improper setting of the PID control algorithm parameters, fluctuations in the indoor heat load (such as human activities, changes in light, etc.), and the accuracy limitations of the temperature sensor, the indoor temperature tends to fluctuate around the set value, and even start and stop frequently. Frequent start and stop of the air conditioner not only affects the user's comfort, but long-term operation may also shorten the life of the air conditioning equipment. At the same time, since the air conditioner has a high energy consumption during the startup phase, frequent start and stop will lead to an increase in overall energy consumption. Therefore, the present application provides a control method to avoid frequent start and stop of the air conditioner.

[0003] There is a control method, device and air conditioner for preventing frequent start and stop of an air conditioner, wherein the control method for preventing frequent start and stop of the air conditioner is to judge whether the difference between the indoor temperature value and the preset temperature value meets the preset condition; if the difference between the indoor temperature value and the preset temperature value meets the preset condition, the electric heating function of the air conditioner is turned on.

[0004] There is another air conditioner and control method thereof that avoids frequent starting and stopping. The air conditioner adds an energy storage module. When the compressor shutdown parameter reaches the compressor shutdown condition threshold range, the energy storage module takes away part of the heat to slow down the change of indoor ambient temperature and avoid compressor shutdown.

[0005] Both of the above solutions do not fundamentally solve the problem that the cooling capacity / heating capacity output by the air conditioner is difficult to match with the building heat load, resulting in frequent start and stop of the air conditioner. Summary of the invention

[0006] A first object of the present invention is to provide a method for controlling an air conditioner that can avoid frequent starts and stops of the air conditioner based on a target building heat load and a target frequency.

[0007] A second object of the present invention is to provide an air conditioner that implements the above control method.

[0008] A third object of the present invention is to provide a computer device for implementing the above control method.

[0009] A fourth object of the present invention is to provide a readable storage medium for implementing the above-mentioned control method.

[0010] To achieve the above-mentioned first purpose, the present invention provides a control method for an air conditioner, comprising: obtaining outdoor ambient temperature, an operating mode of the air conditioner, operating parameters of the air conditioner and a set temperature of the air conditioner; calculating a target building heat load when maintaining the set temperature of the air conditioner; inputting the outdoor ambient temperature, operating parameters, the set temperature of the air conditioner and the target building heat load into a preset neural network model to obtain a target frequency required to maintain the set temperature of the air conditioner; obtaining the indoor ambient temperature; according to the operating mode, when the indoor ambient temperature reaches a preset temperature value, setting the air conditioner operating frequency to the target frequency, the preset temperature value being equal to the sum of the set temperature of the air conditioner and a preset temperature difference; in cooling mode, the preset temperature value is greater than or equal to the set temperature of the air conditioner; in heating mode, the preset temperature value is less than or equal to the set temperature of the air conditioner.

[0011] It can be seen from the above scheme that the reason why the existing variable frequency air conditioner starts and stops frequently when reaching the set temperature is that the existing air conditioner dynamically adjusts the compressor frequency by detecting the difference between the current temperature and the set temperature. Due to the thermal inertia of the building and the accuracy limitation of the temperature sensor, it is difficult to determine the target frequency of the compressor, and overshoot often occurs, causing the cooling capacity or heating capacity output by the air conditioner to not match the cold and hot loads of the environment in which the air conditioner is located, which in turn causes the compressor to start and stop frequently.

[0012] The control method of the air conditioner of the present invention controls the air conditioner to input a certain amount of cooling capacity or heating capacity based on the target building heat load required to maintain the air conditioner set temperature and the target frequency required to maintain the air conditioner set temperature, so as to dynamically balance the air conditioner capacity with the building heat load. This solves the problem that the air conditioner is frequently started and stopped due to the difficulty in matching the air conditioner output cooling capacity or heating capacity with the building heat load, avoids the frequent start and stop of the air conditioner, reduces the room temperature fluctuation, and reduces the power consumption of the air conditioner operation.

[0013] A preferred solution is that in cooling mode, the preset temperature difference is in the range of 0°C to 0.5°C; in heating mode, the preset temperature difference is in the range of -0.5°C to 0°C.

[0014] It can be seen from this that the preset temperature difference is small, which can ensure that the preset temperature value is close to the air-conditioning set temperature. This can ensure that the indoor temperature is close to the air-conditioning set temperature and avoid the problem of overshoot.

[0015] A preferred solution is that the operating parameters include the expansion valve opening, the external fan speed and the internal fan speed.

[0016] A further solution is that the control method also includes: pre-acquiring parameters to be trained of the air conditioner, the parameters to be trained include real-time building heat load, outdoor ambient temperature, indoor ambient temperature, expansion valve opening, outdoor fan speed and indoor fan speed; using the parameters to be trained as input variables and the air conditioner operating frequency as the output variable to obtain a preset neural network model through training and learning.

[0017] It can be seen that the preset neural network model obtained through training and learning can ensure that the cooling or heating capacity output by the air conditioner matches the cold and hot loads of the environment in which the air conditioner is located, thereby avoiding the problem of frequent start and stop of the compressor.

[0018] A further solution is that both the target building heat load and the real-time building heat load can be calculated using the following building heat load calculation formula; in cooling mode, the building heat load calculation formula is: Q BL =Q BL,1 +Q BL,2 +Q BL,3 +Q BL,4 ; In heating mode, the building heat load calculation formula is: Q BL =-Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 ; Where: Q BL is the building heat load, in W; Q BL,1 is the heat conduction due to the temperature difference between indoor and outdoor, in W; Q BL,2 is the heat of penetration of external air, unit is W; Q BL,3 is solar radiation heat, unit is W; Q BL,4 It is the heat generated by equipment and human body, the unit is W.

[0019] A further solution is to conduct heat Q BL,1 Calculate according to the following formula: BL,1 =(K c ×A c +K m ×A m +K q ×A q +K wm ×A wm )×(T out -T in );A B =2×(L B +W B )×H B ;

[0020] A c =A B ×β;A m =W m ×H m ; A q =A B -A c -A m ; A wm =L B ×W B ; Where: Q BL,1 It is the heat conduction due to the temperature difference between indoor and outdoor, in W; Kc is the heat transfer coefficient of the building's exterior windows, in W / (m 2 ·K); K m is the heat transfer coefficient of the building door, in W / (m 2 ·K); K q is the heat transfer coefficient of the building exterior wall, in W / (m 2 ·K); K wm is the heat transfer coefficient of the building roof, in W / (m 2 ·K); A c is the area of ​​the building's exterior windows, in m 2 ; A m is the area of ​​the building door, in m 2 ; A q is the area of ​​the building's exterior wall, in m 2 ; A wm is the area of ​​the building roof, in m 2 ; T out is the outdoor environment dry bulb temperature, in °C; T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the air conditioning set temperature value and calculate the real-time building heat load, T in Take the value of indoor ambient temperature; A B is the total area of ​​the four facades of the building, in m 2 ; L B is the total length of the building, in meters; W B is the total width of the building, in m; H B is the total height of the building, in meters; H m is the height of the door, in meters; W m is the width of the door, in meters; β is the window-to-wall ratio.

[0021] A further solution is that the outside air infiltrates the heat Q BL,2 Calculate according to the following formula: BL,2 =Cp k ×ρ out ×N k ×V k ×(T out -T in );V k =(0.1~0.6)×V B ; V B =L B ×W B ×H B ; Where: Cp k is the specific heat capacity of air, in W·h / (kg·K), and is taken as 0.28W·h / (kg·K); ρout is the outdoor air density, in kg / m 3 ; N k is the ventilation frequency, in h -1 ; V k is the ventilation volume, in m 3 ; T out is the outdoor environment dry bulb temperature, in °C; T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the air conditioning set temperature value and calculate the real-time building heat load, T in Take the value of indoor ambient temperature; V B is the building volume, in m 3 ; L B is the total length of the building, in meters; W B is the total width of the building, in m; H B is the total height of the building in meters.

[0022] A further solution is that the solar radiation heat Q BL,3 Calculate according to the following formula: Where: I E ,I S ,I W ,I N The average total solar radiation intensity in the east, south, west and north directions, in W / m 2 ; C E , C S , C W , C N A is the solar radiation correction factor for the exterior windows facing east, south, west and north respectively; c is the area of ​​the exterior window, in m 2 .

[0023] A further solution is that the heat generated by the equipment and the human body Q BL,4 Calculate according to the following formula: BL,4 =e×L B ×W B +e p ×p e ; Where: e is the sum of indoor lighting power density and electrical equipment power density, unit is W / m 2 ; L B is the total length of the building, in meters; W B is the total width of the building, in meters; e p is the per capita heat generation power, in W / person; p e It is the number of people in the room, in person.

[0024] To achieve the above second objective, the present invention provides an air conditioner, the air conditioner comprising a processor, and the processor is used to implement the above control method when executing a program stored in a memory.

[0025] To achieve the third objective, the present invention provides a computer device, which includes a processor, and the processor is used to implement the above control method when executing a program stored in a memory.

[0026] To achieve the fourth objective, the present invention provides a readable storage medium having a program stored thereon, and the program implements the control method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of an embodiment of a control method for an air conditioner of the present invention.

[0028] Figure 2 It is a flow chart for calculating real-time building heat load in an embodiment of the air conditioner control method of the present invention.

[0029] Figure 3 It is a calculation flow chart of the target building heat load when maintaining the air conditioner set temperature in the control method embodiment of the air conditioner of the present invention.

[0030] The present invention is further described below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0031] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the present invention and its application or use. The present invention can be implemented in many different forms and is not limited to the embodiments herein. These embodiments are provided to make the present invention thorough and complete and to fully express the scope of the present invention to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the parts and steps, the composition of the materials, the numerical expressions and the numerical values ​​set forth in these embodiments should be interpreted as being merely exemplary, rather than as limiting.

[0032] All terms (including technical terms or scientific terms) used in the present invention have the same meanings as those understood by ordinary technicians in the field, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined herein.

[0033] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0034] Air conditioner and control method thereof embodiment:

[0035] See also Figure 1 The air conditioner control method of this embodiment includes the following steps:

[0036] First, step S1 is executed to obtain the outdoor ambient temperature, the operating mode of the air conditioner, the operating parameters of the air conditioner and the air conditioner set temperature; the operating parameters include the expansion valve opening, the external fan speed and the internal fan speed.

[0037] Next, step S2 is executed to calculate the target building heat load when maintaining the air-conditioning set temperature.

[0038] Next, step S3 is executed to input the outdoor ambient temperature, operating parameters, air conditioning set temperature and target building heat load into a preset neural network model to obtain a target frequency required to maintain the air conditioning set temperature.

[0039] Next, step S4 is executed to obtain the indoor ambient temperature.

[0040] Next, step S5 is executed. According to the operation mode, when the indoor ambient temperature reaches the preset temperature value, the air conditioner operation frequency is set to the target frequency. The operation mode includes a heating mode and a cooling mode. The preset temperature value is close to the air conditioner set temperature, and the preset temperature value is equal to the sum of the air conditioner set temperature and the preset temperature difference ΔT. In the cooling mode, the preset temperature value is greater than or equal to the air conditioner set temperature. Preferably, at this time, the preset temperature difference ΔT is in the range of 0°C to 0.5°C; in the heating mode, the preset temperature value is less than or equal to the air conditioner set temperature. Preferably, at this time, the preset temperature difference ΔT is in the range of -0.5°C to 0°C.

[0041] The method for obtaining the preset neural network model in the above steps includes the following steps:

[0042] Pre-acquire the parameters to be trained of the air conditioner, the parameters to be trained include real-time building heat load, outdoor ambient temperature, indoor ambient temperature, expansion valve opening, outdoor fan speed and indoor fan speed;

[0043] The parameters to be trained are used as input variables, and the air conditioner operating frequency is used as the output variable to obtain the preset neural network model through training and learning.

[0044] See also Figure 2 and Figure 3 The target building heat load and the real-time building heat load can be calculated by the following building heat load calculation formula. Building heat load Q BL It includes four parts: heat conduction due to temperature difference between indoor and outdoor, heat infiltration from outside air, heat from solar radiation, and heat generated by equipment and human body. A building heat load prediction model is constructed based on these four parts.

[0045] In air conditioning cooling mode, the building heat load calculation formula is: Q BL =Q BL,1 +Q BL,2 +Q BL,3 +Q BL,4 ;

[0046] In air conditioning heating mode, the building heat load calculation formula is: Q BL =-Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 ;

[0047] Where:

[0048] Q BL is the building heat load, in W;

[0049] Q BL,1 is the heat conduction due to the temperature difference between indoor and outdoor, in W;

[0050] Q BL,2 is the outside air penetration heat, unit is W;

[0051] Q BL,3 is solar radiation heat, unit is W;

[0052] Q BL,4 It is the heat generated by equipment and human body, the unit is W.

[0053] Indoor and outdoor temperature difference heat conduction Q BL,1 Calculate according to the following formula:

[0054] Q BL,1 =(K c ×A c +K m ×A m +K q ×A q +K wm ×A wm )×(T out -T in );

[0055] A B =2×(L B +W B )×H B ;

[0056] A c =A B ×β;

[0057] A m =W m ×H m ;

[0058] A q =A B -A c -A m ;

[0059] A wm =L B ×W B ;

[0060] Where:

[0061] Q BL,1 is the heat conduction due to the temperature difference between indoor and outdoor, in W;

[0062] K c is the heat transfer coefficient of the building's exterior windows, in W / (m 2 K);

[0063] K m is the heat transfer coefficient of the building door, in W / (m 2 K);

[0064] K q is the heat transfer coefficient of the building exterior wall, in W / (m 2 K);

[0065] K wm is the heat transfer coefficient of the building roof, in W / (m 2 K);

[0066] A c is the area of ​​the building's exterior windows, in m 2 ;

[0067] A m is the area of ​​the building door, in m 2 ;

[0068] A q is the area of ​​the building's exterior wall, in m 2 ;

[0069] A wm is the area of ​​the building roof, in m 2 ;

[0070] T out is the outdoor environment dry bulb temperature, in °C, i.e. the outdoor environment temperature;

[0071] T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the air conditioning set temperature value and calculate the real-time building heat load, T in Take the value of indoor ambient temperature;

[0072] A B is the total area of ​​the four facades of the building, in m 2 ;

[0073] L B is the total length of the building, in meters;

[0074] W B is the total width of the building, in m;

[0075] H B is the total height of the building, in m;

[0076] H m is the height of the door, in meters;

[0077] W m is the width of the door, in m;

[0078] β is the window-to-wall ratio (ratio of exterior window area to total facade area).

[0079] Outside air penetration heat Q BL,2 Calculate according to the following formula:

[0080] Q BL,2 =Cp k ×ρ out ×N k ×V k ×(T out -T in );

[0081] V k =(0.1~0.6)×V B ;

[0082] V B =L B ×W B ×H B ;

[0083] Where:

[0084] Cp k is the specific heat capacity of air, in W·h / (kg·K), take 0.28W·h / (kg·K);

[0085] ρ out is the outdoor air density, in kg / m 3 ;

[0086] N k is the ventilation frequency, in h -1 ;

[0087] V k is the ventilation volume, in m3 , take V k =(0.10~0.6)V B ;

[0088] T out is the outdoor environment dry bulb temperature, in °C, i.e. the outdoor environment temperature;

[0089] T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the air conditioning set temperature value and calculate the real-time building heat load, T in Take the value of indoor ambient temperature;

[0090] V B is the building volume, in m 3 ;

[0091] L B is the total length of the building, in meters;

[0092] W B is the total width of the building, in m;

[0093] H B is the total height of the building in meters.

[0094] Solar radiation heat Q BL,3 Calculate according to the following formula:

[0095]

[0096] Where:

[0097] I E is the average total solar radiation intensity in the east direction, in W / m 2 ;

[0098] I S is the average total solar radiation intensity towards the south, in W / m 2 ;

[0099] I W is the average total solar radiation intensity towards the west, in W / m 2 ;

[0100] I N is the average total solar radiation intensity in the east direction, in W / m 2, according to national standards, the average total solar radiation intensity in the east, south, west and north directions of different regions is determined. When cooling, the solar radiation intensity refers to GB 50736-2012 "Design Code for Heating, Ventilation and Air Conditioning of Civil Buildings"; when heating, the solar radiation intensity refers to JGJ 26-2010 "Energy-saving Design Standard for Residential Buildings in Severe Cold and Cold Regions";

[0101] C E is the solar radiation correction factor for east-facing exterior windows;

[0102] C S is the solar radiation correction factor for south-facing exterior windows;

[0103] C W is the solar radiation correction factor for west-facing exterior windows;

[0104] C N is the solar radiation correction factor for north-facing exterior windows;

[0105] A c is the area of ​​the exterior window, in m 2 .

[0106] Equipment and human body heat generation Q BL,4 Calculate according to the following formula:

[0107] Q BL,4 =e×L B ×W B +e p ×p e ;

[0108] Where:

[0109] e is the sum of the indoor lighting power density and the electrical equipment power density, in W / m 2 ;

[0110] L B is the total length of the building, in meters;

[0111] W B is the total width of the building, in m;

[0112] e p is the per capita heat generation power, the unit is W / person, and the value is (70~150)W / person;

[0113] p e It is the number of people in the room, in person.

[0114] In this embodiment, by ensuring that the cooling / heating capacity output by the air conditioner is equal to the target building heat load when the air conditioner maintains the set temperature, the target frequency of the air conditioner when maintaining the set temperature can be inversely calculated based on the target building heat load, thereby ensuring that the cooling / heating capacity output by the air conditioner matches the building heat load and preventing the air conditioner from being frequently started and stopped.

[0115] The present invention uses a neural network model to reversely obtain the target frequency of air conditioning operation. During the operation of the air conditioner, the data of operating parameters such as outdoor ambient temperature, indoor ambient temperature, air conditioning operation frequency, expansion valve opening, external fan speed, internal fan speed, etc. are recorded and stored in real time, and the real-time building heat load is calculated according to the real-time indoor and outdoor ambient temperatures. The real-time building heat load, outdoor ambient temperature, indoor ambient temperature, expansion valve opening, external fan speed, and internal fan speed are used as input variables, and the air conditioning operation frequency is used as an output variable to train the neural network model. Then, the parameters such as outdoor ambient temperature, air conditioning set temperature, expansion valve opening, external fan speed, internal fan speed, and the above-calculated target building heat load are substituted into the above-trained neural network model to obtain the target frequency required to maintain the air conditioning set temperature.

[0116] When the indoor real-time temperature reaches the preset temperature value for the first time, the air conditioner operating frequency is set to the target frequency unchanged. According to the above method, when the indoor temperature approaches the set temperature, the air conditioner can be controlled to operate at a stable target frequency to prevent overshoot and frequent start and stop of the air conditioner.

[0117] As can be seen from the above, the reason why the existing variable frequency air conditioner frequently starts and stops when reaching the set temperature is that the existing air conditioner dynamically adjusts the compressor frequency by detecting the difference between the current temperature and the set temperature. Due to the thermal inertia of the building, the accuracy limitation of the temperature sensor, etc., it is difficult to determine the target frequency of the compressor, and overshoot often occurs, causing the cooling capacity or heating capacity output by the air conditioner to not match the cold and hot loads of the environment in which the air conditioner is located, which in turn causes the compressor to start and stop frequently. The control method of the air conditioner of the present invention is based on the target building heat load required to maintain the set temperature of the air conditioner and the target frequency required to maintain the set temperature of the air conditioner, and then controls the air conditioner to input a corresponding cooling capacity or heating capacity, so that the air conditioning capacity is dynamically balanced with the building heat load. This solves the problem of frequent start and stop of the air conditioner caused by the difficulty in matching the cooling capacity or heating capacity output by the air conditioner with the building heat load, avoids frequent start and stop of the air conditioner, reduces room temperature fluctuations, and reduces the power consumption of the air conditioner.

[0118] Computer device embodiment:

[0119] The computer device of the present invention is a controller, including a processor and a memory, such as a single chip microcomputer including a central processing unit, etc. Moreover, the processor is used to implement the steps of the above control method when executing the computer program stored in the memory.

[0120] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), 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. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0121] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0122] Computer readable storage medium embodiment:

[0123] The computer-readable storage medium of the present invention can be any form of storage medium that can be read by the processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. A computer program is stored on the computer-readable storage medium. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-mentioned control method can be implemented.

[0124] A computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc. Computer readable media may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0125] Finally, it should be emphasized that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for controlling an air conditioner, characterized in that: include: Obtaining the outdoor ambient temperature, the operating mode of the air conditioner, the operating parameters of the air conditioner and the set temperature of the air conditioner; Calculating a target building heat load when maintaining the air conditioning set temperature; Inputting the outdoor ambient temperature, the operating parameters, the air conditioning set temperature and the target building heat load into a preset neural network model to obtain a target frequency required to maintain the air conditioning set temperature; Get the indoor ambient temperature; According to the operation mode, when the indoor environment temperature reaches a preset temperature value, the air conditioner operation frequency is set to the target frequency, and the preset temperature value is equal to the sum of the air conditioner set temperature and a preset temperature difference; In cooling mode, the preset temperature value is greater than or equal to the air conditioner set temperature; In heating mode, the preset temperature value is less than or equal to the air conditioner set temperature.

2. The control method according to claim 1, characterized in that: In cooling mode, the preset temperature difference is in the range of 0°C to 0.5°C; In heating mode, the preset temperature difference is in the range of -0.5°C to 0°C.

3. The control method according to claim 1, characterized in that: The operating parameters include the expansion valve opening, the external fan speed and the internal fan speed.

4. The control method according to claim 3, characterized in that: The control method further comprises: Pre-acquire the parameters to be trained of the air conditioner, wherein the parameters to be trained include real-time building heat load, outdoor ambient temperature, indoor ambient temperature, expansion valve opening, external fan speed, and internal fan speed; The preset neural network model is obtained by taking the parameters to be trained as input variables and the air conditioner operating frequency as output variables through training and learning.

5. The control method according to claim 4, characterized in that: The target building heat load and the real-time building heat load can both be calculated using the following building heat load calculation formula; In cooling mode, the building heat load calculation formula is: Q BL =Q BL,1 +Q BL,2 +Q BL,3 +Q BL,4 ; In heating mode, the building heat load calculation formula is: Q BL =-Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 ; Where: Q BL is the building heat load, in W; Q BL,1 is the heat conduction due to the temperature difference between indoor and outdoor, in W; Q BL,2 is the outside air penetration heat, unit is W; Q BL,3 is solar radiation heat, unit is W; Q BL,4 It is the heat generated by equipment and human body, the unit is W.

6. The control method according to claim 5, characterized in that: Indoor and outdoor temperature difference heat conduction Q BL,1 Calculate according to the following formula: Q BL,1 =(K c ×A c +K m ×A m +K q ×A q +K wm ×A wm )×(T out -T in ); A B =2×(L B +W B )×H B ; A c =A B ×β; A m =W m ×H m ; A q =A B -A c -A m ; A wm =L B ×W B ; Where: Q BL,1 is the heat conduction due to the temperature difference between indoor and outdoor, in W; K c is the heat transfer coefficient of the building's exterior windows, in W / (m 2 K); K m is the heat transfer coefficient of the building door, in W / (m 2 K); K q is the heat transfer coefficient of the building exterior wall, in W / (m 2 K); K wm is the heat transfer coefficient of the building roof, in W / (m 2 K); A c is the area of ​​the building's exterior windows, in m 2 ; A m is the area of ​​the building door, in m 2 ; A q is the area of ​​the building's exterior wall, in m 2 ; A wm is the area of ​​the building roof, in m 2 ; T out is the outdoor environment dry bulb temperature, in °C; T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the value of the air conditioner set temperature and calculate the real-time building heat load, T in Taking the value of the indoor ambient temperature; A B is the total area of ​​the four facades of the building, in m 2 ; L B is the total length of the building, in meters; W B is the total width of the building, in m; H B is the total height of the building, in m; H m is the height of the door, in meters; W m is the width of the door, in m; β is the window-to-wall ratio.

7. The control method during the air conditioner energy efficiency test according to claim 5, characterized in that: Outside air penetration heat Q BL,2 Calculate according to the following formula: Q BL,2 =Cp k ×ρ out ×N k ×V k ×(T out -T in ); In k =(0.1~0.6)×V B ; V B =L B ×W B ×H B ; Where: Cp k is the specific heat capacity of air, in W·h / (kg·K); ρ out is the outdoor air density, in kg / m 3 ; N k is the ventilation frequency, in h -1 ; V k is the ventilation volume, in m 3 ; T out is the outdoor environment dry bulb temperature, in °C; T in is the indoor ambient dry bulb temperature, in °C. When calculating the target building heat load, T in Take the value of the air conditioner set temperature and calculate the real-time building heat load, T in Taking the value of the indoor ambient temperature; V B is the building volume, in m 3 ; L B is the total length of the building, in meters; W B is the total width of the building, in m; H B is the total height of the building in meters.

8. The control method during the air conditioner energy efficiency test according to claim 5, characterized in that: Solar radiation heat Q BL,3 Calculate according to the following formula: Where: I E is the average total solar radiation intensity in the east direction, in W / m 2 ; I S is the average total solar radiation intensity towards the south, in W / m 2 ; I W is the average total solar radiation intensity towards the west, in W / m 2 ; I N is the average total solar radiation intensity in the east direction, in W / m 2 ; C E is the solar radiation correction factor for east-facing exterior windows; C S is the solar radiation correction factor for south-facing exterior windows; C W is the solar radiation correction factor for west-facing exterior windows; C N is the solar radiation correction factor for north-facing exterior windows; A c is the area of ​​the exterior window, in m 2 .

9. The control method during the air conditioner energy efficiency test according to claim 5, characterized in that: Equipment and human body heat generation Q BL,4 Calculate according to the following formula: Q BL,4 =e×L B ×W B +e p ×p e ; Where: e is the sum of the indoor lighting power density and the electrical equipment power density, in W / m 2 ; L B is the total length of the building, in meters; W B is the total width of the building, in m; e p is the per capita heat generation power, in W / person; p e It is the number of people in the room, in person.

10. An air conditioner, characterized in that The air conditioner comprises a processor, and the processor is used to implement the control method according to any one of claims 1 to 9 when executing a program stored in a memory.

11. A computer device, characterized in that: The computer device comprises a processor, and the processor is configured to implement the control method according to any one of claims 1 to 9 when executing a program stored in a memory.

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

Images