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

Abstract

The application provides an air conditioner, a control method thereof, a computer device and a readable storage medium. The control method of the air conditioner comprises the following steps: acquiring an outdoor environment temperature, an operation mode of the air conditioner, an operation parameter of the air conditioner and an air conditioner setting temperature; calculating a target building heat load when the air conditioner setting temperature is maintained; inputting the outdoor environment temperature, the operation parameter, the air conditioner setting temperature and the target building heat load into a preset neural network model to obtain a target frequency required for maintaining the air conditioner setting temperature; acquiring an indoor environment temperature; 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 setting temperature and a preset temperature difference; in the refrigeration mode, the preset temperature value is greater than or equal to the air conditioner setting temperature; and in the heating mode, the preset temperature value is less than or equal to the air conditioner setting 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 application relates to the technical field of air conditioners, in particular to an air conditioner, a control method thereof, a computer device and a readable storage medium. BACKGROUND

[0002] When an air conditioner is running, its main goal is to adjust the indoor environment temperature to the user set temperature. However, due to the thermal inertia of the air conditioning system, improper setting of the PID control algorithm parameters, fluctuations in the indoor thermal load (such as personnel activities, changes in illumination, etc.), and the precision limitations of the temperature sensor, the indoor temperature often fluctuates up and down around the set value, and even frequently starts and stops. Frequent start and stop of the air conditioner not only affects the user's comfort, but also may shorten the service life of the air conditioner equipment in the long run. At the same time, since the air conditioner has high energy consumption during the start-up phase, frequent start and stop will lead to an increase in overall energy consumption, so the present application provides a control method for avoiding frequent start and stop of the air conditioner.

[0003] A control method and device for preventing frequent start and stop of an air conditioner and the air conditioner are provided. The control method for preventing frequent start and stop of the air conditioner is to determine 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 started.

[0004] Another air conditioner and control method for avoiding frequent start and stop are provided. The air conditioner is provided with an energy storage module. When the compressor stop parameter reaches the compressor stop condition threshold range, the energy storage module diverts a portion of the heat to slow down the change of the indoor environment temperature and avoid compressor stop.

[0005] The above two solutions do not fundamentally solve the problem of frequent start and stop of the air conditioner caused by the difficulty in matching the air conditioner output cooling / heating capacity with the building thermal load. SUMMARY

[0006] The first object of the present application is to provide a control method for an air conditioner capable of avoiding frequent start and stop of the air conditioner based on the target building thermal load and the target frequency.

[0007] The second object of the present application is to provide an air conditioner implementing the above control method.

[0008] The third object of the present application is to provide a computer device implementing the above control method.

[0009] The fourth object of the present application is to provide a readable storage medium implementing the above control method.

[0010] To achieve the above first object, the application provides a control method of an air conditioner, comprising: acquiring an outdoor environment temperature, an operation mode of the air conditioner, an operation parameter of the air conditioner and an air conditioner setting temperature; calculating a target building heat load for maintaining the air conditioner setting temperature; inputting the outdoor environment temperature, the operation parameter, the air conditioner setting temperature and the target building heat load into a preset neural network model to obtain a target frequency required for maintaining the air conditioner setting temperature; acquiring an indoor environment temperature; according to the operation mode, setting the air conditioner operation frequency as the target frequency when the indoor environment temperature reaches a preset temperature value, and the preset temperature value being equal to the sum of the air conditioner setting temperature and a preset temperature difference; in the cooling mode, the preset temperature value being greater than or equal to the air conditioner setting temperature; and in the heating mode, the preset temperature value being less than or equal to the air conditioner setting temperature.

[0011] As can be seen from the above scheme, the reason why the existing variable frequency air conditioner frequently starts and stops to reach 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 building thermal inertia, the accuracy limitation of the temperature sensor and other factors, it is difficult to determine the target frequency of the compressor, and often overshoot occurs, so that the cooling capacity or heating capacity output by the air conditioner does not match the cooling or heating load of the environment where the air conditioner is located, and then the compressor frequently starts and stops.

[0012] The control method of the air conditioner of the application is based on the target building heat load required for maintaining the air conditioner setting temperature and the target frequency required for maintaining the air conditioner setting temperature, and then controls the air conditioner to input a corresponding cooling capacity or heating capacity, so that the air conditioner capacity and the building heat load are dynamically balanced. Thus, the problem of frequent starting and stopping of the air conditioner caused by the difficulty in matching the cooling capacity or heating capacity output by the air conditioner and the building heat load is solved, the frequent starting and stopping of the air conditioner is avoided, the room temperature fluctuation is reduced, and the power consumption of the air conditioner is reduced.

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

[0014] As can be seen, the preset temperature difference is small, which can ensure that the preset temperature value is close to the air conditioner setting temperature, so that the indoor temperature is close to the air conditioner setting temperature, and the problem of overshoot is avoided.

[0015] A preferred scheme is that the operation parameter comprises an expansion valve opening degree, an outdoor fan rotating speed and an indoor fan rotating speed.

[0016] A further scheme is that the control method further comprises: pre-acquiring training parameters of the air conditioner, the training parameters comprising a real-time building heat load, the outdoor environment temperature, the indoor environment temperature, the expansion valve opening degree, the outdoor fan rotating speed and the indoor fan rotating speed; and obtaining the preset neural network model by training and learning with the training parameters as input variables and the air conditioner operation frequency as output variables.

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

[0018] Further, the target building heat load and the real-time building heat load can be obtained through the following building heat load calculation formula; when in the cooling mode, the building heat load calculation formula is: Q BL = Q BL,1 + Q BL,2 + Q BL,3 + Q BL,4 ; when in the heating mode, the building heat load calculation formula is: Q BL = -Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 ; wherein: Q BL is the building heat load, with the unit of W; Q BL,1 is the indoor and outdoor temperature difference heat conduction, with the unit of W; Q BL,2 is the air permeation heat of the outside world, with the unit of W; Q BL,3 is the solar radiation heat, with the unit of W; Q BL,4 is the equipment and human body heat production, with the unit of W.

[0019] Further, the indoor and outdoor temperature difference heat conduction Q BL,1 is calculated 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 ;

[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 ; wherein: Q BL,1 is the indoor and outdoor temperature difference heat conduction, with the unit of W; Kc Uw is the heat transfer coefficient of the building exterior window, in units of W / (m 2 ·K) ; K m Ud is the heat transfer coefficient of the building door, in units of W / (m 2 ·K) ; K q Uw is the heat transfer coefficient of the building exterior wall, in units of W / (m 2 ·K) ; K wm Uroof is the heat transfer coefficient of the building roof, in units of W / (m 2 ·K) ; A c Aw is the area of the building exterior window, in units of m 2 ; A m Ad is the area of the building door, in units of m 2 ; A q Aw is the area of the building exterior wall, in units of m 2 ; A wm Aroof is the area of the building roof, in units of m 2 ; T out Tout is the outdoor environment dry-bulb temperature, in units of °C; T in Tin is the indoor environment dry-bulb temperature, in units of °C, when calculating the target building heat load, T in takes the value of the air conditioner set temperature, when calculating the real-time building heat load, T in takes the value of the indoor environment temperature; A B A is the total area of the four vertical surfaces of the building, in units of m 2 ; L B L is the total length of the building, in units of m; W B W is the total width of the building, in units of m; H B H is the total height of the building, in units of m; H m Hd is the height of the door, in units of m; W m Wd is the width of the door, in units of m; β is the window-to-wall ratio.

[0021] Further, the air infiltration heat Q BL,2 from the outside is calculated according to the following formula: Q 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 ; in the formula: Cp k is the specific heat capacity of air, in units of W·h / (kg·K), taking 0.28 W·h / (kg·K); ρout ρa is the outdoor air density, in kg / m 3 ; N k is the air change frequency, in h -1 ; V k is the air change volume, in m 3 ; T out is the outdoor environment dry bulb temperature, in ℃; T in is the indoor environment dry bulb temperature, in ℃, when calculating the target building heat load, T in takes the value of air conditioning set temperature, when calculating the real-time building heat load, T in takes the value of indoor environment temperature; V B is the building volume, in m 3 ; L B is the total length of the building, in m; W B is the total width of the building, in m; H B is the total height of the building, in m.

[0022] Further, the solar radiation heat Q BL,3 is calculated according to the following formula: In the formula: I E , I S , I W , I N are the average solar total radiation intensity of east, south, west and north orientations, respectively, in W / m 2 ; C E , C S , C W , C N are the external window solar radiation correction coefficients of east, south, west and north orientations, respectively; A c is the area of the external window, in m 2 .

[0023] Further, the equipment and human body heat Q BL,4 is calculated according to the following formula: Q BL,4 = e x L B x W B + e p x p e ; In the formula: e is the sum of indoor lighting power density and electric appliance power density, in W / m 2 ; L B is the total length of the building, in m; W B is the total width of the building, in m; e p is the human heat power per person, in W / person; p e is the number of indoor personnel, in person.

[0024] To achieve the above-mentioned second object, the present application provides an air conditioner, which comprises a processor configured to implement the above-mentioned control method when executing a program stored in a memory.

[0025] To achieve the above-mentioned third object, the present application provides a computer device, which comprises a processor configured to implement the above-mentioned control method when executing a program stored in a memory.

[0026] To achieve the above-mentioned fourth object, the present application provides a readable storage medium, which stores a program configured to implement the above-mentioned control method when executed by a processor. BRIEF DESCRIPTION OF DRAWINGS

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

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

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

[0030] The present application will be further described below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0031] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative in nature and is in no way intended to limit the application, its application, or its uses, to such embodiments. The application can be implemented in numerous ways, including but not limited to those set forth in the following description below. Such embodiments of the application will be described in sufficient detail to enable those skilled in the art to make and use the application, and the embodiments provided herein are at least in part to be construed as examples of the principles of the application. The description set forth herein is not intended to be exhaustive or to be construed as limiting the application to the embodiments set forth herein. It is intended that the scope of the application encompass various alternatives, modifications, and equivalents.

[0032] All terms used in the present application, including technical or scientific terms, have the same meanings as those that are generally understood by those skilled in the art, unless otherwise specifically defined. It should also be noted that the terms, such as those defined in a generally used dictionary, should be interpreted to have meanings that are consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formalized sense, unless otherwise clearly defined herein.

[0033] Techniques, methods, and apparatus known to those of ordinary skill in the relevant art can not be discussed in detail herein, but should be considered as part of the description unless otherwise noted in context.

[0034] Air conditioner and control method thereof

[0035] With reference to Figure 1 The control method of the air conditioner comprises the following steps:

[0036] Firstly, step S1 is performed to obtain an outdoor environment temperature, an operation mode of the air conditioner, an operation parameter of the air conditioner and an air conditioner set temperature; the operation parameter comprises an expansion valve opening degree, an outdoor fan rotating speed and an indoor fan rotating speed.

[0037] Then, step S2 is performed to calculate a target building heat load when the air conditioner set temperature is maintained.

[0038] Then, step S3 is performed to input the outdoor environment temperature, the operation parameter, the air conditioner set temperature and the target building heat load into a preset neural network model to obtain a target frequency required for maintaining the air conditioner set temperature.

[0039] Then, step S4 is performed to obtain an indoor environment temperature.

[0040] Then, step S5 is performed to set the air conditioner operation frequency as the target frequency when the indoor environment temperature reaches a preset temperature value according to the operation mode. The operation mode comprises 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 a sum of the air conditioner set temperature and a preset temperature difference ΔT. In the cooling mode, the preset temperature value is greater than or equal to the air conditioner set temperature, and preferably, at this time, the preset temperature difference ΔT is in a range of 0℃ to 0.5℃; in the heating mode, the preset temperature value is less than or equal to the air conditioner set temperature, and preferably, at this time, the preset temperature difference ΔT is in a range of -0.5℃ to 0℃.

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

[0042] The training parameters of the air conditioner are obtained in advance, and the training parameters comprise a real-time building heat load, an outdoor environment temperature, an indoor environment temperature, an expansion valve opening degree, an outdoor fan rotating speed and an indoor fan rotating speed;

[0043] The preset neural network model is obtained by training and learning with the training parameters as input variables and the air conditioner operation frequency as output variables.

[0044] With reference to Figure 2 and Figure 3 The target building heat load and the real-time building heat load can be obtained by calculating according to the following building heat load calculation formula. The building heat load Q BL The building heat load prediction model is constructed according to four parts of indoor and outdoor temperature difference heat conduction, external air penetration heat, solar radiation heat and equipment and human body heat production.

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

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

[0047] In the formula:

[0048] Q BL is the building heat load, with the unit of W;

[0049] Q BL,1 is the indoor-outdoor temperature difference heat conduction, with the unit of W;

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

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

[0052] Q BL,4 is the equipment and human body heat production, with the unit of W.

[0053] The indoor-outdoor temperature difference heat conduction Q BL,1 is calculated 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, unit is W;

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

[0063] K m is the heat transfer coefficient of the building door, the unit is 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 ambient dry bulb temperature in °C, i.e. the outdoor ambient 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 Get the value of indoor ambient temperature;

[0072] A B Total area of four facades of the building, unit: m 2 ;

[0073] L B Total length of the building, unit: m

[0074] W B Total width of the building, unit: m

[0075] H B Total height of the building, unit: m

[0076] H m Height of the door, unit: m

[0077] W m Width of the door, unit: m

[0078] β Window-wall ratio (ratio of the area of the external window to the total area of the facade)

[0079] External air infiltration heat Q BL,2 Calculated 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] In the formula:

[0084] Cp k Specific heat capacity of air, unit: W·h / (kg·K), take 0.28 W·h / (kg·K)

[0085] ρ out Density of outdoor air, unit: kg / m 3 ;

[0086] N k Air change frequency, unit: h -1 ;

[0087] V k Air change volume, unit: m3 , take V k = (0.10~0.6) V B ;

[0088] T out is the outdoor dry-bulb temperature, in ℃, i.e. the outdoor ambient temperature;

[0089] T in is the indoor dry-bulb temperature, in ℃, when calculating the target building heat load; in take the value of the air conditioning set temperature, when calculating the real-time building heat load; in take the value of the indoor ambient temperature;

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

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

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

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

[0094] The solar radiation heat Q BL,3 is calculated according to the following formula:

[0095]

[0096] In the formula:

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

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

[0099] I W is the average total solar radiation intensity of the west-facing side, in W / m 2 ;

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

[0101] C E is the solar radiation correction coefficient of the east-oriented outer window;

[0102] C S is the solar radiation correction coefficient of the south-oriented outer window;

[0103] C W is the solar radiation correction coefficient of the west-oriented outer window;

[0104] C N is the solar radiation correction coefficient of the north-oriented outer window;

[0105] A c is the area of the outer window, unit: m 2 .

[0106] Equipment and human body heat production Q BL,4 is calculated according to the following formula:

[0107] Q BL,4 = e x L B x W B + e p x p e ;

[0108] In the formula:

[0109] e is the sum of indoor lighting power density and electric appliance power density, unit: W / m 2 ;

[0110] L B is the total length of the building, unit: m;

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

[0112] e p is the human body heat production per person, unit: W / person, and the value is (70-150) W / person;

[0113] p e is the number of indoor personnel, unit: person.

[0114] In the embodiment, the air conditioner maintains the air conditioning set temperature, and the refrigerating / heat output of the air conditioner is equal to the target building heat load, so the target frequency of the air conditioner when maintaining the air conditioning set temperature can be inversely solved according to the target building heat load, so as to ensure that the refrigerating / heat output of the air conditioner matches the building heat load, and prevent the air conditioner from frequently starting and stopping.

[0115] The present application inversely solves the target frequency of the air conditioner by using a neural network model, records and stores the data of the outdoor environment temperature, indoor environment temperature, air conditioner running frequency, expansion valve opening, outdoor fan speed, indoor fan speed and other running parameters in real time during the operation of the air conditioner, calculates the real-time building heat load according to the real-time indoor and outdoor environment temperature, uses the real-time building heat load, outdoor environment temperature, indoor environment temperature, expansion valve opening, outdoor fan speed, indoor fan speed as input variables, and uses the air conditioner running frequency as an output variable to train the neural network model. Then, the outdoor environment temperature, air conditioning set temperature, expansion valve opening, outdoor fan speed, indoor fan speed and the calculated target building heat load are substituted into the trained neural network model, and the target frequency required to maintain the air conditioning set temperature can be obtained.

[0116] When the indoor real-time temperature reaches the preset temperature value for the first time, the air conditioner running frequency is set as the target frequency unchanged. According to the above method, when the indoor temperature approaches the set temperature, the air conditioner can be controlled to run at a stable target frequency, preventing overshoot and frequent starting and stopping of the air conditioner.

[0117] As can be seen from the above, the reason for the existing variable frequency air conditioner to frequently start and stop to reach 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 building heat inertia, the accuracy limitation of the temperature sensor, and other reasons, it is difficult to determine the target frequency of the compressor, and overshoot often occurs, so that the refrigerating / heat output of the air conditioner does not match the cooling / heat load of the environment where the air conditioner is located, and then the compressor frequently starts and stops. The control method of the air conditioner of the present application is based on the target building heat load required to maintain the air conditioning set temperature and the target frequency required to maintain the air conditioning set temperature, and then controls the air conditioner to input the corresponding refrigerating / heat output, so that the air conditioner capacity dynamically balances with the building heat load. Thus, the problem of frequent starting and stopping of the air conditioner caused by the mismatch between the refrigerating / heat output of the air conditioner and the building heat load is solved, the frequent starting and stopping of the air conditioner is avoided, the room temperature fluctuation is reduced, and the power consumption of the air conditioner is reduced.

[0118] Computer device embodiment:

[0119] The computer device of the present application is a controller, which includes a processor and a memory device, such as a single-chip microcomputer containing a central processing unit. Moreover, the processor is used to execute the computer program stored in the memory to realize the steps of the above control method.

[0120] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

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

[0122] The computer readable storage medium embodiment is as follows:

[0123] The computer readable storage medium of the present application can be any form of storage medium readable by the processor of the computer device, including but not limited to a non-volatile memory, a volatile memory, a ferroelectric memory, etc., and the computer readable storage medium stores a computer program. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above control method can be realized.

[0124] The computer program includes computer program code, which can be in the form of source code, object code, executable code, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a Read-Only Memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium, and the like. It should be noted that the computer-readable medium contains content that can be appropriately added or deleted according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunications signals.

[0125] Finally, it should be emphasized that the above is only a preferred embodiment of the present application, and is not intended to limit the present application. For those skilled in the art, the present application can have various changes and modifications, and any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A control method of an air conditioner, characterized by, The method comprises: obtaining an outdoor environment temperature, an operation mode of an air conditioner, an operation parameter of the air conditioner, and an air conditioner set temperature; calculating a target building heat load for maintaining the air conditioner set temperature; inputting the outdoor environment temperature, the operation parameter, the air conditioner set temperature, and the target building heat load into a preset neural network model to obtain a target frequency required for maintaining the air conditioner set temperature; obtaining an indoor environment temperature; according to the operation mode, setting an air conditioner operation frequency as the target frequency when the indoor environment temperature reaches a preset temperature value, the preset temperature value being equal to a sum of the air conditioner set temperature and a preset temperature difference; in a cooling mode, the preset temperature value being greater than or equal to the air conditioner set temperature; in a heating mode, the preset temperature value being less than or equal to the air conditioner set temperature.

2. The control method according to claim 1, wherein: in the cooling mode, the preset temperature difference being in a range of 0°C to 0.5°C; in the heating mode, the preset temperature difference being in a range of -0.5°C to 0°C.

3. The control method according to claim 1, wherein: the operation parameter comprises an expansion valve opening degree, an outdoor fan rotating speed, and an indoor fan rotating speed.

4. The control method according to claim 3, wherein: the control method further comprises: pre-obtaining to-be-trained parameters of the air conditioner, the to-be-trained parameters comprising a real-time building heat load, the outdoor environment temperature, the indoor environment temperature, the expansion valve opening degree, the outdoor fan rotating speed, and the indoor fan rotating speed; obtaining the preset neural network model by training and learning with the to-be-trained parameters as input variables and an air conditioner operation frequency as an output variable.

5. The control method according to claim 4, wherein: the target building heat load and the real-time building heat load are both obtained by a building heat load calculation formula; in the cooling mode, the building heat load calculation formula being: Q BL = Q BL,1 + Q BL,2 + Q BL,3 + Q BL,4 ; in the heating mode, the building heat load calculation formula being: Q BL = -Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 ; wherein: Q BL Q is the building heat load, in W; Q BL,1 Q is the heat transfer for indoor and outdoor temperature difference, in W; Q BL,2 Q is the heat penetration from the outside air, in W; Q BL,3 Q is the solar radiation heat in W; Q BL,4 Q is the heat production of the device and the human body, in W.

6. The control method according to claim 5, wherein: Indoor-outdoor temperature difference heat transfer Q BL,1 Calculated as follows: 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 x (L B + W B ) x H B ; A c = A B x β; A m = W m x H m ; A q = A B - A c - A m ; A wm = L B x W B ; wherein: Q BL,1 Q is the heat transfer for indoor and outdoor temperature difference, in W; K c U for the heat transfer coefficient of the building exterior window in W / (m 2 ·K); K m U is the heat transfer coefficient for the building door, in W / (m 2 ·K); K q U is the heat transfer coefficient of the building exterior wall, in W / (m 2 ·K); K wm for the heat transfer coefficient of a building roof, in W / (m 2 ·K); A c Area of the building exterior window, in m 2 ; A m Area of the building door, in m 2 ; A q Area of the building facade, in m 2 ; A wm Area of the building roof, in m 2 ; T out T is the outdoor dry-bulb temperature in °C; T in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load A B Total area of the four facades of the building, in m 2 ; L B L is the total length of the building in m; W B B is the total width of the building, in m; H B H is the total height of the building, in m; H m H is the height of the door, in m; W m H is the width of the door in m; β is a window-wall ratio.

7. The control method according to claim 5, wherein: External air infiltration heat Q BL,2 Calculated as follows: Q BL,2 = Cp k x p out x N k x V k x (T out - T in ); V k = (0.1-0.6) x V B ; V B = L B x W B x H B ; wherein: Cp k Cp for air specific heat capacity in W-h / (kg-K); p out p is the density of outdoor air, in kg / m3 3 ; N k for the number of ventilation, in h -1 ; V k for the ventilation volume, in m 3 ; T out T is the outdoor dry-bulb temperature in °C; T in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load in T is the indoor environment dry-bulb temperature in °C, taken as the value of the air conditioning set temperature when calculating the real-time building heat load V B building volume, in m 3 ; L B L is the total length of the building in m; W B W is the total width of the building, in m; H B Ht is the total height of the building, in m.

8. The control method according to claim 5, wherein: Solar radiation heat Q BL,3 is calculated according to the following equation: wherein: I E Gtot,av is the average solar global radiation intensity for the east orientation, in W / m 2 ; I S Gtot is the average solar global irradiance for a south-facing surface, in W / m 2 ; I W Gtot,av,west is the average solar global radiation intensity for the west orientation, in W / m 2 ; I N Gtot,av is the average solar global radiation intensity for the east orientation, in W / m 2 ; C E Kw = 0.5 for east-facing exterior windows solar radiation modification factor; C S Ks, south-facing outside window solar radiation modification coefficient; C W Kw, east-facing outside window solar radiation modification factor; C N Kw = 0.5 for north-facing exterior window solar radiation modification factor; A c A is the area of the outer window in m 2 .

9. The control method according to claim 5, wherein: Device and human body heat production Q BL,4 Calculated as follows: Q BL,4 = e x L B x W B + e p x p e ; wherein: e is the sum of the indoor lighting power density and the electrical equipment power density in W / m 2 ; L B L is the total length of the building in m; W B W is the total width of the building, in m; e p per capita heating power, in W / person; p e is the number of people in the room.

10. An air conditioner characterized by the air conditioner comprises a processor configured 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 apparatus, characterized by: the computer device comprises a processor 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: the program is configured to implement the control method according to any one of claims 1 to 9 when executed by a processor.

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