An air conditioner control method and device, an air conditioner and a medium

Abstract

Embodiments of the present application provide an air conditioner control method, device, air conditioner and medium; the method comprises: obtaining the operation parameter of an air conditioner, building information of a building where the air conditioner is located, environment information and user set temperature; determining building heat load according to the building information and environment information; determining target building heat load according to the building information, environment information and user set temperature; determining target time according to the user set temperature, environment information, building heat load and operation parameter of the air conditioner; determining target compressor frequency according to the target building heat load; adjusting the compressor frequency of the air conditioner according to the target compressor frequency and target time. The temperature overshoot phenomenon caused by response lag in the traditional air conditioning system is effectively avoided, and it is ensured that the indoor temperature can be smoothly and quickly reached and maintained in the ideal range set by the user.

Description

Technical Field

[0001] This invention relates to the field of air conditioner technology, and in particular to an air conditioner control method, device, air conditioner, and medium. Background Technology

[0002] Traditional air conditioning systems typically employ a temperature deviation-based feedback control mechanism, adjusting cooling or heating output according to the difference between the indoor temperature and the user's set temperature. However, this mechanism often ignores real-time changes in the building's heat load, leading to over-cooling or over-heating during the adjustment process, resulting in air conditioning overshoot. Air conditioning overshoot not only affects user comfort but can also lead to energy waste and equipment wear and tear. Over-cooling or over-heating increases the air conditioning system's energy consumption, and frequent temperature fluctuations can also place an additional burden on the air conditioning equipment, shortening its lifespan.

[0003] Therefore, while pursuing rapid and accurate indoor temperature regulation, how to effectively avoid air conditioner overshoot has become a technical problem that urgently needs to be solved. Summary of the Invention

[0004] In view of the above problems, embodiments of the present invention are proposed to provide an air conditioner control method, apparatus, air conditioner, and medium that overcomes or at least partially solves the above problems.

[0005] To address the above problems, this invention discloses an air conditioner control method, the method comprising:

[0006] The system obtains the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, environmental information, and the user-set temperature.

[0007] The building heat load is determined based on the building information and environmental information.

[0008] The target building heat load is determined based on the building information, environmental information, and the user-set temperature; the target building heat load represents the building's heat load when the indoor temperature reaches the user-set temperature.

[0009] The target time is determined based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters; the target time represents the time required for the indoor temperature to reach the user-set temperature.

[0010] Determine the target compressor frequency based on the target building heat load;

[0011] The compressor frequency of the air conditioner is adjusted according to the target compressor frequency and the target time.

[0012] Optionally, the building information includes: the area of ​​the building's exterior windows, doors, exterior walls, and roof, and the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof;

[0013] The environmental information includes: indoor dry-bulb temperature and outdoor dry-bulb temperature;

[0014] The step of determining the building heat load based on the building information and environmental information includes:

[0015] Based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the indoor dry-bulb temperature and outdoor dry-bulb temperature, determine the heat conduction information of the indoor-outdoor temperature difference;

[0016] The building heat load is determined based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information.

[0017] Optionally, the building information may also include: the building's dimensions and air exchange rate;

[0018] The environmental information includes: outdoor air density and air specific heat capacity;

[0019] The step of determining the building heat load based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information includes:

[0020] Based on the building's dimensions, air exchange rate, outdoor air density, air specific heat capacity, indoor dry-bulb temperature, and outdoor dry-bulb temperature, determine the outside air infiltration heat information;

[0021] The building heat load is determined based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, and the environmental information.

[0022] Optionally, the environmental information may also include: solar radiation heat in the area where the building is located and heat generated by electronic devices and people inside the building.

[0023] The process of determining the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the external air infiltration heat information, and the environmental information includes:

[0024] The building heat load is determined based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people in the building.

[0025] Optionally, determining the target building heat load based on the building information, environmental information, and the user-set temperature includes:

[0026] Based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the user-set temperature and outdoor dry-bulb temperature, the heat conduction information of the target indoor-outdoor temperature difference is determined; the heat conduction information of the target indoor-outdoor temperature difference is used to represent the heat conduction information of the indoor-outdoor temperature difference when the indoor temperature reaches the user-set temperature.

[0027] Based on the building's dimensions, outdoor air density, air specific heat capacity, user-set temperature, and outdoor dry-bulb temperature, the target external air infiltration heat information is determined; the target external air infiltration heat information is used to represent the infiltration heat of the outside air when the indoor temperature reaches the user-set temperature;

[0028] The target building's heat load is determined based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the target outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people inside the building.

[0029] Optionally, the operating parameters of the air conditioner include at least one of the following: compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening.

[0030] The step of determining the target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters includes:

[0031] The output capacity of the air conditioner is determined based on at least one of the compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening; the output capacity represents the cooling / heating capacity of the air conditioner.

[0032] The target time is determined based on the user-set temperature, the environmental information, the building heat load, and the output capacity of the air conditioner.

[0033] Optionally, the environmental information includes: the total heat capacity of the room and the dry-bulb temperature of the room;

[0034] Determining the target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's output capacity includes:

[0035] The target time is determined based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity.

[0036] Optionally, the user-set temperature carries the user-set air conditioning operating mode; the air conditioning operating mode includes a cooling mode and a heating mode, and determining the target time based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the air conditioner's output capacity includes:

[0037] Based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity, the target time is determined according to the following formula, assuming the air conditioner is in cooling mode.

[0038]

[0039] Among them, T in (t) represents the indoor dry-bulb temperature at time t, Δt represents the time interval, and T i ` n Represents the indoor dry-bulb temperature after time Δt, Q BL (t) represents the building heat load Q at time t. AC (t) and HC represent the total heat capacity of the building interior.

[0040] Based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity, the target time is determined according to the following formula under the condition that the air conditioner is in heating mode;

[0041]

[0042] Optionally, adjusting the compressor frequency of the air conditioner according to the target compressor frequency and the target time includes:

[0043] Obtain the current compressor frequency of the air conditioner;

[0044] The target frequency difference is determined based on the current compressor frequency and the target compressor frequency;

[0045] The frequency adjustment rate is determined based on the target frequency difference and the target time.

[0046] Determine the adjustment cycle based on the target time;

[0047] The compressor frequency of the air conditioner is adjusted according to the frequency adjustment rate and the adjustment cycle.

[0048] Optionally, determining the target compressor frequency based on the target building heat load includes: determining the target compressor frequency based on the target building heat load and a preset frequency prediction model.

[0049] On the other hand, embodiments of the present invention disclose an air conditioner control device, the device comprising:

[0050] The parameter acquisition module is used to acquire the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, environmental information, and the user-set temperature.

[0051] A heat load determination module is used to determine the building heat load based on the building information and environmental information.

[0052] The heat load calculation module is used to determine the target building heat load based on the building information, environmental information, and the user-set temperature; the target building heat load represents the building's heat load when the indoor temperature reaches the user-set temperature.

[0053] The time determination module is used to determine a target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters; the target time represents the time required for the indoor temperature to reach the user-set temperature.

[0054] The frequency determination module is used to determine the target compressor frequency based on the target building heat load;

[0055] The frequency adjustment module is used to adjust the compressor frequency of the air conditioner according to the target compressor frequency and the target time.

[0056] Optionally, the building information includes: the area of ​​the building's exterior windows, doors, exterior walls, and roof; and the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof. The environmental information includes: indoor dry-bulb temperature and outdoor dry-bulb temperature.

[0057] The heat load determination module includes:

[0058] The heat conduction determination submodule is used to determine the heat conduction information of the indoor and outdoor temperature difference based on the area of ​​the building's exterior windows, doors, exterior walls and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls and roof, and the indoor dry-bulb temperature and outdoor dry-bulb temperature.

[0059] The first heat load determination submodule is used to determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information.

[0060] Optionally, the building information may also include: the building's dimensions and air exchange rate;

[0061] The environmental information includes: outdoor air density and air specific heat capacity;

[0062] The first heat load determination submodule includes:

[0063] The first infiltration heat determination unit is used to determine the infiltration heat information of the outside air based on the building's size information, air exchange rate, outdoor air density, air specific heat capacity, indoor dry bulb temperature and outdoor dry bulb temperature.

[0064] The second heat load determination unit is used to determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, and the environmental information.

[0065] Optionally, the environmental information may also include: solar radiation heat in the area where the building is located and heat generated by electronic devices and people inside the building.

[0066] The second heat load determination unit includes:

[0067] The third heat load determination subunit is used to determine the building heat load based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and human bodies in the building.

[0068] Optionally, the heat load calculation module includes:

[0069] The second heat conduction calculation submodule is used to determine the heat conduction information of the target indoor-outdoor temperature difference based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, the user-set temperature, and the outdoor dry-bulb temperature; the heat conduction information of the target indoor-outdoor temperature difference is used to represent the heat conduction information of the indoor-outdoor temperature difference when the indoor temperature reaches the user-set temperature;

[0070] The second infiltration heat calculation submodule is used to determine the target outside air infiltration heat information based on the building's size information, outdoor air density, air specific heat capacity, user-set temperature, and outdoor dry-bulb temperature; the target outside air infiltration heat information is used to represent the infiltration heat of the outside air when the indoor temperature reaches the user-set temperature;

[0071] The second heat load calculation submodule is used to determine the heat load of the target building based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the target outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people in the building.

[0072] Optionally, the operating parameters of the air conditioner include at least one of the following: compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening.

[0073] The time determination module includes:

[0074] The output capacity determination submodule is used to determine the output capacity of the air conditioner based on at least one of the compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening; the output capacity represents the cooling / heating capacity of the air conditioner.

[0075] The first-time determination submodule is used to determine the target time based on the user-set temperature, the environmental information, the building heat load, and the output capacity of the air conditioner.

[0076] Optionally, the environmental information includes: the total heat capacity of the room and the dry-bulb temperature of the room;

[0077] The first time-determining submodule includes:

[0078] The second time determination unit is used to determine the target time based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner.

[0079] Optionally, the user-set temperature carries the user-set air conditioner operating mode; the air conditioner operating mode includes a cooling mode and a heating mode, and the second time determination unit includes:

[0080] The cooling time determination subunit is used to determine the target time according to the following formula, based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner, under the condition that the air conditioner is in the cooling model.

[0081]

[0082] Among them, T in (t) represents the indoor dry-bulb temperature at time t, Δt represents the time interval, and T i ` n Represents the indoor dry-bulb temperature after time Δt, Q BL (t) represents the building heat load Q at time t. aC (t) and HC represent the total heat capacity of the building interior.

[0083] The heating time determination subunit is used to determine the target time according to the following formula, based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner, under the condition that the air conditioner is in the heating model.

[0084]

[0085] Optionally, the frequency adjustment module includes:

[0086] The compressor frequency acquisition submodule is used to acquire the current compressor frequency of the air conditioner;

[0087] The frequency difference determination submodule is used to determine the target frequency difference based on the current compressor frequency and the target compressor frequency;

[0088] The rate determination submodule is used to determine the frequency adjustment rate based on the target frequency difference and the target time;

[0089] The period determination submodule is used to determine the adjustment period based on the target time;

[0090] The frequency adjustment submodule is used to adjust the compressor frequency of the air conditioner according to the frequency adjustment rate and the adjustment period.

[0091] Optionally, the frequency determination module includes:

[0092] The frequency prediction submodule is used to determine the target compressor frequency based on the target building heat load and the preset frequency prediction model.

[0093] Accordingly, this invention discloses an air conditioner, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various steps of the above-described air conditioner control method embodiments.

[0094] Accordingly, this invention discloses a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the various steps of the above-described air conditioner control method embodiments.

[0095] The embodiments of this invention offer the following advantages: By acquiring the air conditioner's operating parameters, building information, environmental information, and user-set temperature, the changes in the building's heat load are accurately calculated, and the air conditioner's output is adjusted accordingly. This improvement effectively avoids temperature overshoot caused by response lag in traditional air conditioning systems, ensuring that the indoor temperature can be stably and quickly reached and maintained within the ideal range set by the user, greatly improving the comfort of living and working. Based on the target building heat load determined comprehensively from building information, environmental information, and user-set temperature, the operating status of the air conditioner, such as compressor frequency, is intelligently adjusted to achieve the optimal energy efficiency ratio. This refined control strategy significantly reduces energy waste, lowers the operating cost of the air conditioning system, and meets the energy-saving requirements of green buildings. Dynamically adjusting the compressor frequency according to the target building heat load not only improves the operating efficiency of the air conditioning system but also reduces wear and tear on the equipment caused by frequent start-ups or overwork. This intelligent adjustment method helps extend the service life of air conditioning equipment and reduces maintenance and replacement costs. Attached Figure Description

[0096] Figure 1 This is a flowchart illustrating the steps of an embodiment of an air conditioner control method according to the present invention;

[0097] Figure 2This is a flowchart illustrating an embodiment of the air conditioner frequency adjustment according to the present invention;

[0098] Figure 3 This is a structural block diagram of an embodiment of an air conditioner control device according to the present invention. Detailed Implementation

[0099] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0100] Building heat load refers to the amount of cooling or heating required inside a building to maintain a constant indoor temperature under specific outdoor climatic conditions.

[0101] Air conditioner overshoot refers to the phenomenon where the actual indoor temperature exceeds the set temperature during the process of adjusting the air conditioning system. This is usually caused by insufficient control precision or slow response speed of the air conditioning system.

[0102] One of the core concepts of this invention is to achieve the goal of precisely adjusting the frequency of the air conditioner in accordance with the target building heat load by accurately calculating the building heat load at the target temperature.

[0103] Reference Figure 1 The diagram illustrates a flowchart of an embodiment of an air conditioner control method according to the present invention, which may specifically include the following steps:

[0104] Step 101: Obtain the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, the environmental information, and the user-set temperature;

[0105] When calculating a building's heat load, it is first necessary to obtain the building's building information and environmental information.

[0106] Step 102: Determine the building heat load based on the building information and environmental information;

[0107] Once the building's architectural and environmental information is obtained, the building's current heat load can be calculated.

[0108] In one embodiment, the building information includes: the area of ​​the building's exterior windows, doors, exterior walls, and roof; and the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof. The environmental information includes: indoor dry-bulb temperature and outdoor dry-bulb temperature. Step 102 includes the following sub-steps:

[0109] Sub-step S11: Determine the heat conduction information of the indoor and outdoor temperature difference based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the indoor dry-bulb temperature and outdoor dry-bulb temperature.

[0110] The heat transfer coefficient is an indicator characterizing the thermal conductivity of building envelopes such as windows, doors, exterior walls, and roofs. It refers to the amount of heat transferred per unit time per unit area under steady-state heat transfer conditions, where the temperature difference between the air on both sides of the envelope is 1°C (Celsius) or Kelvin (K). The unit is watts per square meter (W / (㎡·°C)) or watts per square meter (W / (㎡·K)). The magnitude of the heat transfer coefficient reflects the strength of the building envelope's thermal conductivity.

[0111] In one example, the method for calculating heat conduction information could be:

[0112] The heat transfer information of the indoor-outdoor temperature difference is determined using the following formula based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the exterior windows, doors, exterior walls, and roof, and the indoor and outdoor dry-bulb temperatures:

[0113] Q BL,1 =(K c ×A c +K m ×A m +K q ×A q +K wm ×A wm )×(T out -T in );

[0114] Where: Q BL,1 This indicates the heat conduction information representing the temperature difference between indoors and outdoors; K c K represents the heat transfer coefficient of a building's exterior windows. m K represents the heat transfer coefficient of a building's entrance door. q K represents the heat transfer coefficient of a building's exterior walls. wm The heat transfer coefficient of a building roof (W / (m²)) 2 K));A c Indicates the area of ​​a building's exterior windows; A m Indicates the area of ​​the building's entrance door; A q Indicates the area of ​​the building's exterior walls; A wm T represents the area of ​​the building's roof; out Indicates the outdoor dry-bulb temperature; T in Indicates the dry-bulb temperature of the indoor environment;

[0115] Sub-step S12: Determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information.

[0116] The heat load of a building is further determined based on the calculated heat conduction information and environmental information. The heat conduction information of the indoor and outdoor temperature difference is one of the key indicators affecting the heat load of a building, and it is essential to clarify the heat conduction information for calculating the heat load of a building.

[0117] In one embodiment, the building information further includes: the building's dimensions and air exchange rate; the environmental information includes: outdoor air density and air specific heat capacity; sub-step S12 includes the following sub-steps:

[0118] Sub-step S121: Determine the outside air infiltration heat information based on the building's size information, air exchange rate, outdoor air density, air specific heat capacity, indoor dry bulb temperature, and outdoor dry bulb temperature;

[0119] Air infiltration heat refers to the heat carried or transferred by air as it flows from the high-pressure side to the low-pressure side through the building envelope due to the pressure difference between the inside and outside of a building. Air infiltration heat is also an important component of building heat load. When calculating building heat load, heat transfer due to air infiltration must be considered; otherwise, the calculation results will be inaccurate, thus affecting the operation of the air conditioning system.

[0120] In one embodiment, the air infiltration heat can be determined by calculation based on the following formula:

[0121] Q BL,2 =Cp k ×ρ out ×N k ×V k ×(T out -T in )

[0122] C pk ρ represents the specific heat capacity of air, which is taken as 0.28 here; out Represents outdoor air density (kg / m³) 3 );

[0123] N k Indicates the number of air exchanges (h) -1 );V k V represents the ventilation volume. k = (0.1~0.6)V B This setting is based on experience; where V B The representative building volume is calculated using the following formula:

[0124] V B =L B ×W B ×H B Among them, L B W represents the total length of the building. BH represents the total width of the building. B Represents the total height of the building;

[0125] T out Represents the outdoor dry-bulb temperature; T in Represents the dry-bulb temperature of the indoor environment;

[0126] Sub-step S122: Determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, and the environmental information.

[0127] As an important component in calculating building heat load, identifying the heat infiltration from outside air helps in the accurate calculation of building heat load.

[0128] In one embodiment, the environmental information further includes: solar radiation heat of the area where the building is located and heat generated by electronic devices and people inside the building; the sub-step S121 includes the following sub-steps:

[0129] Sub-step S1211: Determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people in the building.

[0130] Solar radiation is a significant source of heat gain for buildings. In winter, solar radiation helps reduce the building's heat load. In summer, however, it can become part of the heat load, as it can cause indoor temperatures to rise and increase the burden on air conditioning systems.

[0131] The heat generated by electronic devices and human beings within buildings is also a significant component of indoor heat load. With technological advancements and improved living standards, modern buildings contain an increasing number of electronic devices, which generate substantial amounts of heat during operation. Simultaneously, human metabolism also produces heat. All of this heat contributes to the indoor heat load, impacting the operational efficiency of air conditioning systems.

[0132] In one example, solar thermal radiation can be calculated as follows:

[0133]

[0134] The corresponding parameters in formula (1) are calculated from the following formulas (2) to (13):

[0135] c E =0.87×0.7×SC E (2)

[0136] c S =0.87×0.7×SC S (3)

[0137] c W = 0.87 × 0.7 × SC W (4)

[0138] c N = 0.87 × 0.7 × SC N (5)

[0139] SC E = SC B × (1 - f) × SD E (6)

[0140] SC S = SC B × (1 - f) × SD S (7)

[0141] SC W = SC B × (1 - f) × SD W (8)

[0142] SC N = SC B × (1 - f) × SD N (9)

[0143] SD E = a E × x 2 + b E × x + 1 (10)

[0144] SD S = a S × x 2 + b S × x + 1 (11)

[0145] SD W = a W × x 2 + b W × x + 1 (12)

[0146] SD N = a N × x 2 + b N × x + 1 (13)

[0147] In the above formulas, I E 、I S 、I W 、I NThe average total solar radiation intensity represents the east, south, west, and north orientations. When cooling, the solar radiation intensity is taken from the value of GB 50736-2012 "Code for Design of Heating, Ventilation and Air Conditioning of Civil Buildings"; when heating, the solar radiation intensity is taken from the value of JGJ 26-2010 "Energy-Saving Design Standard for Residential Buildings in Severe Cold and Cold Regions".

[0148] C E C S C W C N The solar radiation correction coefficients for exterior windows facing east, south, west, and north are calculated with reference to formula (4.3.8-2) in JGJ 26-2010;

[0149] SC E SC S SC W SC N The overall shading coefficient of exterior windows facing east, south, west, and north;

[0150] SC B The shading coefficient represents the shading factor of the glass; for ordinary glass, the value is 0.9.

[0151] f represents the window frame area ratio. Referring to section 4.0.6 of JGJ 134-2010, f = 0.2 is taken.

[0152] SD E SD S SD W SD N The shading coefficients representing external shading facing east, south, west, and north are calculated with reference to Appendix C of JGJ 134-2010;

[0153] a E a S a W a N b E b S b W b N The fitting coefficients represent the east, south, west, and north orientations. Refer to Appendix C, Table C.0.1 of JGJ 134-2010 for the selection of horizontal outdoor shading types. E =0.36, a S =0.50, a W =0.38, a N =0.28, b E =-0.80, b S =-0.80, b W =-0.81, b N = -0.54;

[0154] x represents the external shading characteristic value, which takes a value of 0.5; A c Represents the area of ​​the exterior windows;

[0155] In another example, the heat generated by the device and the human body can be calculated using the following formula:

[0156] Q BL,4 =e×L B ×W B +e p ×p e ;

[0157] Where e represents the sum of indoor lighting power density and electrical equipment power density;

[0158] L B Represents the total length of the building (m);

[0159] W B Represents the total width of the building (m);

[0160] e p The average heating power per person (W / person) is taken as (70~150)W / person;

[0161] p e This represents the number of people in the room, and is assigned according to the following correspondence: when the cooling capacity (CC) is less than or equal to 2600, the number of people is 1; when the cooling capacity (CC) is greater than 2600 but less than or equal to 4500, the number of people is 2; when the cooling capacity (CC) is greater than 4500 but less than or equal to 7100, the number of people is 3; when the cooling capacity (CC) is greater than 7100 but less than or equal to 14000, the number of people is 4.

[0162] Maintain the building's length-to-width ratio L B :W B =5:4, when the rated cooling capacity is 3500W, the standard room area is taken as 20m². 2 The room area of ​​other rooms with rated cooling capacity is calculated proportionally according to formula (14), and the total length L of the building is... B and total width W B Calculate according to formulas (15) and (16).

[0163]

[0164] A room =L B ×W B (15)

[0165]

[0166] In the formula: A roomRepresents the room area (m2), rounded to two decimal places; CC represents the rated cooling capacity; L B W represents the total length of the building, rounded to two decimal places. B The total width of the building, rounded to two decimal places;

[0167] In one example, the building's heat load can be calculated using the following formula:

[0168] Q BL =Q BL,1 +Q BL,2 +Q BL,3 +Q BL,4 (17)

[0169] or

[0170] Q BL =-Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 (18)

[0171] Among them, Q BL This represents the building's heat load; when the air conditioner is in cooling mode, Equation 17 is used for calculation; when the air conditioner is in heating mode, Equation 18 is used for calculation.

[0172] Calculating building heat load using multi-dimensional indicators such as indoor and outdoor temperature difference heat conduction, outside air infiltration heat, solar radiation heat, and heat generated by equipment and human body is beneficial to obtaining more accurate results, thereby providing further guidance for adjusting the operating frequency of air conditioning.

[0173] Step 103: Determine the target building heat load based on the building information, environmental information, and user-set temperature; the target building heat load represents the building's heat load when the indoor temperature reaches the user-set temperature.

[0174] In one embodiment, step 103 includes the following sub-steps:

[0175] Sub-step S21: Based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the user-set temperature and outdoor dry-bulb temperature, determine the heat conduction information of the target indoor-outdoor temperature difference; the heat conduction information of the target indoor-outdoor temperature difference is used to represent the heat conduction information of the indoor-outdoor temperature difference when the indoor temperature reaches the user-set temperature.

[0176] Sub-step S22: Based on the building's dimensions, outdoor air density, air specific heat capacity, user-set temperature, and outdoor dry-bulb temperature, determine the target external air infiltration heat information; the target external air infiltration heat information is used to represent the infiltration heat of the outside air when the indoor temperature reaches the user-set temperature;

[0177] Sub-step S23: Determine the target building heat load based on the heat conduction information of the target indoor and outdoor temperature difference, the target outdoor air infiltration heat information, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and human bodies in the building.

[0178] In one example, the target building heat load can be obtained by substituting the user-defined temperature as the indoor dry-bulb temperature into the above formula.

[0179] By using a pre-established mathematical model, the building's heat load at the target temperature can be accurately determined, thus laying the foundation for further adjustments to air conditioners based on the target building's heat load.

[0180] Step 104: Determine the target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters; the target time represents the time required for the indoor temperature to reach the user-set temperature.

[0181] In one embodiment, the operating parameters of the air conditioner include at least one of the following: compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening. Step 104 may include the following sub-steps:

[0182] Sub-step S31: Determine the output capacity of the air conditioner based on at least one of the compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening; the output capacity represents the cooling / heating capacity of the air conditioner.

[0183] Sub-step S32: Determine the target time based on the user-set temperature, the environmental information, the building heat load, and the output capacity of the air conditioner.

[0184] In one example, the output capacity of the air conditioner can be obtained through an air conditioner capacity prediction module.

[0185] The air conditioner capacity prediction module is debugged before the air conditioner leaves the factory. First, in the laboratory, the real-time capacity of the air conditioner is measured and recorded by changing and recording indoor and outdoor ambient temperature and humidity, compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening. Using indoor and outdoor ambient temperature and humidity, compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening as input variables, and the tested cooling or heating capacity of the air conditioner as the output variable, a neural network model is trained to predict the air conditioner's capacity based on its real-time operating parameters.

[0186] In one example, the training process of the neural network model is as follows:

[0187] Establish a database and construct mapping relationships. During database establishment, the indoor ambient temperature varies from 10 to 40℃ with a step size of 0.5℃; the indoor relative humidity varies from 20% to 100% with a step size of 1%; the outdoor ambient temperature varies from -30 to 60℃ with a step size of 0.5℃; the outdoor relative humidity varies from 20% to 100% with a step size of 1%; the compressor frequency varies from 0 to 150Hz (Hertz) with a step size of 1Hz; the outdoor fan speed varies from 100 to 1000 RPM (Revolutions Per Minute) with a step size of 50 RPM; the indoor fan speed varies from 300 to 1000 RPM with a step size of 50 RPM; and the electronic expansion valve opening varies from 0 to 500P (the opening unit of the electronic expansion valve) with a step size of 1P.

[0188] By changing different combinations of the above variables, different combinations of air conditioning cooling or heating capacity are obtained. Using these different variable combinations as model input values ​​and the air conditioning cooling or heating capacity as model output values, a neural network model for predicting air conditioning capacity is constructed.

[0189] In one embodiment, the total heat capacity and dry-bulb temperature of the room, sub-step S32 may further include:

[0190] Sub-step S321: Determine the target time based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and the output capacity of the air conditioner.

[0191] In one embodiment, the user-set temperature carries the user-set air conditioning operating mode; the air conditioning operating mode includes a cooling mode and a heating mode, and sub-step S321 may include:

[0192] Sub-step S3211: Based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity, and under the condition that the air conditioner is in cooling mode, determine the target time according to the following formula;

[0193]

[0194] Among them, T in (t) represents the indoor dry-bulb temperature at time t, Δt represents the time interval, and T in Represents the indoor dry-bulb temperature after time Δt, Q BL (t) represents the building heat load Q at time t. AC (t) and HC represent the total heat capacity of the building interior.

[0195] Based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity, the target time is determined according to the following formula under the condition that the air conditioner is in heating mode;

[0196]

[0197] The time required to reach the target temperature can be calculated by analyzing the building's heat load and the current air conditioning output capacity, providing a basis for guiding further adjustments to the air conditioner.

[0198] Step 105: Determine the target compressor frequency based on the target building heat load;

[0199] In one embodiment, step 105 includes the following sub-steps:

[0200] Sub-step S41: Determine the target compressor frequency based on the target building heat load and the preset frequency prediction model.

[0201] In one example, the training process for a preset frequency prediction model can be as follows:

[0202] First, the indoor ambient temperature and humidity, outdoor ambient temperature and humidity, outdoor fan speed, indoor fan speed, electronic expansion valve opening, and air conditioning capacity are used as input variables, and the compressor frequency is used as the output variable to train a neural network model, thereby constructing a compressor frequency prediction model.

[0203] The target frequency prediction module uses the same training data and training method as the air conditioning capacity prediction module. The difference is that the air conditioning capacity is used as the input variable and the compressor frequency is used as the output variable in the target frequency prediction module.

[0204] In another example, the process of determining the target building heat load using a preset frequency prediction model can be as follows:

[0205] Using a building heat load prediction module, the target building heat load value is calculated based on the real-time outdoor ambient temperature and the indoor set temperature. This target building heat load value is then used to replace the air conditioning capacity and substituted into the compressor frequency prediction model to calculate the target frequency required to reach the set temperature.

[0206] Step 106: Adjust the compressor frequency of the air conditioner according to the target compressor frequency and the target time.

[0207] In one embodiment, step 106 includes the following sub-steps:

[0208] Sub-step S51: Obtain the current compressor frequency of the air conditioner;

[0209] Sub-step S52: Determine the target frequency difference based on the current compressor frequency and the target compressor frequency;

[0210] Sub-step S53: Determine the frequency adjustment rate based on the target frequency difference and the target time;

[0211] Sub-step S54: Determine the adjustment period based on the target time;

[0212] Sub-step S55: Adjust the compressor frequency of the air conditioner according to the frequency adjustment rate and the adjustment cycle.

[0213] By precisely adjusting the compressor frequency, the air conditioner temperature can be precisely regulated, thereby reducing overshooting.

[0214] By acquiring the air conditioner's operating parameters, building information, environmental information, and user-set temperature, the system accurately calculates changes in the building's heat load and adjusts the air conditioner's output accordingly. This improvement effectively avoids temperature overshoot caused by response lag in traditional air conditioning systems, ensuring that the indoor temperature can be stably and quickly reached and maintained within the user-set ideal range, greatly improving the comfort of living and working. Based on the target building heat load determined comprehensively from building information, environmental information, and user-set temperature, the system intelligently adjusts the air conditioner's operating status, such as compressor frequency, to achieve the optimal energy efficiency ratio. This refined control strategy significantly reduces energy waste, lowers the operating costs of the air conditioning system, and meets the energy-saving requirements of green buildings. Dynamically adjusting the compressor frequency based on the target building heat load not only improves the operating efficiency of the air conditioning system but also reduces wear and tear on the equipment caused by frequent start-ups or overwork. This intelligent adjustment method helps extend the service life of air conditioning equipment and reduces maintenance and replacement costs.

[0215] Reference Figure 2 The diagram shows a flow chart of an embodiment of the air conditioner frequency adjustment according to the present invention:

[0216] First, obtain the air conditioner's operating mode, operating parameters, and user-set temperature. This step allows us to understand the air conditioner's current operating status and target set temperature. After obtaining the real-time indoor temperature, determine whether the difference between the real-time temperature and the target set temperature is less than a preset value (here, M, the value of which is determined according to business needs, generally 1 to 3 degrees Celsius). When the difference is greater than M, the indoor temperature is too far from the target set temperature, making precise frequency control unsuitable. Therefore, return to the step of obtaining the air conditioner's operating mode.

[0217] When the absolute value of the difference between the real-time indoor temperature and the set temperature is less than the preset value, precise control of the air conditioner begins. First, the real-time building heat load and air conditioning capacity are calculated; this step can be done using a preset calculation model. After the calculation, the time required to reach the set temperature and the air conditioner's operating frequency at that temperature are predicted. Once the target operating frequency is determined, the difference between the current air conditioner's operating frequency and the target operating frequency is calculated, and the frequency adjustment rate is determined based on this difference and the time required to reach the set temperature. Then, it is determined whether the indoor temperature has reached the set temperature. If it has, the current adjustment stops. If it has not reached the set temperature, the adjustment cycle is determined based on the time required to reach the set temperature and a preset cycle base. The preset cycle base is determined based on experience and business requirements, typically ranging from 1 to 20. After determining the time cycle, the process returns to the real-time heat load calculation step and continues until the indoor temperature reaches the set temperature.

[0218] It should be noted that, for the sake of simplicity, the method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0219] Reference Figure 3 The diagram shows a structural block diagram of an embodiment of an air conditioner control device according to the present invention, which may specifically include the following modules:

[0220] The parameter acquisition module 201 is used to acquire the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, environmental information, and the user-set temperature.

[0221] When calculating a building's heat load, it is first necessary to obtain the building's building information and environmental information.

[0222] The heat load determination module 202 is used to determine the building heat load based on the building information and environmental information;

[0223] Once the building's architectural and environmental information is obtained, the building's current heat load can be calculated.

[0224] The heat load calculation module 203 is used to determine the target building heat load based on the building information, environmental information, and the user-set temperature; the target building heat load represents the heat load of the building when the indoor temperature reaches the user-set temperature.

[0225] The time determination module 204 is used to determine a target time based on the user-set temperature, the environmental information, the building heat load, and the operating parameters of the air conditioner; the target time represents the time required for the indoor temperature to reach the user-set temperature.

[0226] The frequency determination module 205 is used to determine the target compressor frequency based on the target building heat load;

[0227] The frequency adjustment module 206 is used to adjust the compressor frequency of the air conditioner according to the target compressor frequency and the target time.

[0228] In one embodiment, the building information includes: the area of ​​the building's exterior windows, doors, exterior walls, and roof, and the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof; the environmental information includes: indoor dry-bulb temperature and outdoor dry-bulb temperature.

[0229] The heat load determination module includes:

[0230] The heat conduction determination submodule is used to determine the heat conduction information of the indoor and outdoor temperature difference based on the area of ​​the building's exterior windows, doors, exterior walls and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls and roof, and the indoor dry-bulb temperature and outdoor dry-bulb temperature.

[0231] The heat transfer coefficient is an indicator characterizing the thermal conductivity of building envelopes such as windows, doors, exterior walls, and roofs. It refers to the amount of heat transferred per unit time per unit area under steady-state heat transfer conditions, where the temperature difference between the air on both sides of the envelope is 1°C (Celsius) or Kelvin (K). The unit is watts per square meter (W / (㎡·°C)) or watts per square meter (W / (㎡·K)). The magnitude of the heat transfer coefficient reflects the strength of the building envelope's thermal conductivity.

[0232] In one example, the method for calculating heat conduction information could be:

[0233] The heat transfer information of the indoor-outdoor temperature difference is determined using the following formula based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the exterior windows, doors, exterior walls, and roof, and the indoor and outdoor dry-bulb temperatures:

[0234] Q BL,1 =(K c ×A c +K m ×A m +K q ×A q +K wm ×A wm )×(T out -T in );

[0235] Where: Q BL,1 This indicates the heat conduction information representing the temperature difference between indoors and outdoors; K c K represents the heat transfer coefficient of a building's exterior windows. m K represents the heat transfer coefficient of a building's entrance door. q K represents the heat transfer coefficient of a building's exterior walls. wm Indicates the heat transfer coefficient of a building roof (W / (m2K)); A c Indicates the area of ​​a building's exterior windows; A m Indicates the area of ​​the building's entrance door; A q Indicates the area of ​​the building's exterior walls; A wm T represents the area of ​​the building's roof; out Indicates the outdoor dry-bulb temperature; T in Indicates the dry-bulb temperature of the indoor environment;

[0236] The first heat load determination submodule is used to determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information.

[0237] The heat load of a building is further determined based on the calculated heat conduction information and environmental information. The heat conduction information of the indoor and outdoor temperature difference is one of the key indicators affecting the heat load of a building, and it is essential to clarify the heat conduction information for calculating the heat load of a building.

[0238] In one embodiment, the building information further includes: the building's dimensions and air exchange rate; the environmental information includes: outdoor air density and specific heat capacity of air; the first heat load determination submodule includes:

[0239] The first infiltration heat determination unit is used to determine the infiltration heat information of the outside air based on the building's size information, air exchange rate, outdoor air density, air specific heat capacity, indoor dry bulb temperature and outdoor dry bulb temperature.

[0240] Air infiltration heat refers to the heat carried or transferred by air as it flows from the high-pressure side to the low-pressure side through the building envelope due to the pressure difference between the inside and outside of a building. Air infiltration heat is also an important component of building heat load. When calculating building heat load, heat transfer due to air infiltration must be considered; otherwise, the calculation results will be inaccurate, thus affecting the operation of the air conditioning system.

[0241] In one embodiment, the air infiltration heat can be determined by calculation based on the following formula:

[0242] Q BL,2 =Cp k ×ρ out ×N k ×V k ×(T out -T in )

[0243] C pk ρ represents the specific heat capacity of air, which is taken as 0.28 here; out Represents outdoor air density (kg / m³) 3 );

[0244] N k Indicates the number of air exchanges (h) -1 );V k V represents the ventilation volume. k = (0.1~0.6)V B This setting is based on experience; where V B The representative building volume is calculated using the following formula:

[0245] V B =L B ×W B ×H B Among them, L B W represents the total length of the building. B H represents the total width of the building. B Represents the total height of the building;

[0246] T out Represents the outdoor dry-bulb temperature; T in Represents the dry-bulb temperature of the indoor environment;

[0247] The second heat load determination unit is used to determine the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, and the environmental information.

[0248] As an important component in calculating building heat load, identifying the heat infiltration from outside air helps in the accurate calculation of building heat load.

[0249] In one embodiment, the environmental information further includes: solar radiation heat in the area where the building is located and heat generated by electronic devices and people inside the building.

[0250] The second heat load determination unit includes:

[0251] The third heat load determination subunit is used to determine the building heat load based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and human bodies in the building.

[0252] Solar radiation is a significant source of heat gain for buildings. In winter, solar radiation helps reduce the building's heat load. In summer, however, it can become part of the heat load, as it can cause indoor temperatures to rise and increase the burden on air conditioning systems.

[0253] The heat generated by electronic devices and human beings within buildings is also a significant component of indoor heat load. With technological advancements and improved living standards, modern buildings contain an increasing number of electronic devices, which generate substantial amounts of heat during operation. Simultaneously, human metabolism also produces heat. All of this heat contributes to the indoor heat load, impacting the operational efficiency of air conditioning systems.

[0254] In one example, solar thermal radiation can be calculated as follows:

[0255]

[0256] The corresponding parameters in formula (1) are calculated from the following formulas (2) to (13):

[0257] c E =0.87×0.7×SC E (2)

[0258] c S =0.87×0.7×SC S (3)

[0259] c W =0.87×0.7×SC W (4)

[0260] c N =0.87×0.7×SC N (5)

[0261] SC E =SC B ×(1-f)×SD E (6)

[0262] SCS =SC B ×(1-f)×SD S (7)

[0263] SC W =SC B ×(1-f)×SD W (8)

[0264] SC N =SC B ×(1-f)×SD N (9)

[0265] SD E =a E ×x 2 + b E ×x+1 (10)

[0266] SD S = a S ×x 2 + b S ×x+1 (11)

[0267] SD W = a W ×x 2 + b W ×x+1 (12)

[0268] SD N = a N ×x 2 + b N ×x+1 (13)

[0269] In the above formula, I E I S I W I N The average total solar radiation intensity represents the east, south, west, and north orientations. When cooling, the solar radiation intensity is taken from the value of GB 50736-2012 "Code for Design of Heating, Ventilation and Air Conditioning of Civil Buildings"; when heating, the solar radiation intensity is taken from the value of JGJ 26-2010 "Energy-Saving Design Standard for Residential Buildings in Severe Cold and Cold Regions".

[0270] C E C S C W C N The solar radiation correction coefficients for exterior windows facing east, south, west, and north are calculated with reference to formula (4.3.8-2) in JGJ 26-2010;

[0271] SC E SCS SC W SC N The overall shading coefficient of exterior windows facing east, south, west, and north;

[0272] SC B The shading coefficient represents the shading factor of the glass; for ordinary glass, the value is 0.9.

[0273] f represents the window frame area ratio. Referring to section 4.0.6 of JGJ 134-2010, f = 0.2 is taken.

[0274] SD E SD S SD W SD N The shading coefficients representing external shading facing east, south, west, and north are calculated with reference to Appendix C of JGJ 134-2010;

[0275] a E a S a W a N b E b S b W b N The fitting coefficients represent the east, south, west, and north orientations. Refer to Appendix C, Table C.0.1 of JGJ 134-2010 for the selection of horizontal outdoor shading types. E =0.36, a S =0.50, a W =0.38, a N =0.28, b E =-0.80, b S =-0.80, b W =-0.81, b N = -0.54;

[0276] x represents the external shading characteristic value, which takes a value of 0.5; A c Represents the area of ​​the exterior windows;

[0277] In another example, the heat generated by the device and the human body can be calculated using the following formula:

[0278] Q BL,4 =e×L B ×W B +e p ×p e ;

[0279] Where e represents the sum of indoor lighting power density and electrical equipment power density;

[0280] L BRepresents the total length of the building (m);

[0281] W B Represents the total width of the building (m);

[0282] e p The average heating power per person (W / person) is taken as (70~150)W / person;

[0283] p e This represents the number of people in the room, and is assigned according to the following correspondence: when the cooling capacity (CC) is less than or equal to 2600, the number of people is 1; when the cooling capacity (CC) is greater than 2600 but less than or equal to 4500, the number of people is 2; when the cooling capacity (CC) is greater than 4500 but less than or equal to 7100, the number of people is 3; when the cooling capacity (CC) is greater than 7100 but less than or equal to 14000, the number of people is 4.

[0284] Maintain the building's length-to-width ratio L B :W B =5:4, when the rated cooling capacity is 3500W, the standard room area is taken as 20m². 2 The room area of ​​other rooms with rated cooling capacity is calculated proportionally according to formula (14), and the total length L of the building is... B and total width W B Calculate according to formulas (15) and (16).

[0285]

[0286] A room =L B ×W B (15)

[0287]

[0288] In the formula: A room Represents the room area (m2), rounded to two decimal places; CC represents the rated cooling capacity; L B W represents the total length of the building, rounded to two decimal places. B The total width of the building, rounded to two decimal places;

[0289] In one example, the building's heat load can be calculated using the following formula:

[0290] Q BL =Q BL,1 +Q BL,2 +Q BL,3 +Q BL,4 (17)

[0291] or

[0292] Q BL =-Q BL,1 -Q BL,2 -Q BL,3 -Q BL,4 (18)

[0293] Among them, Q BL This represents the building's heat load; when the air conditioner is in cooling mode, Equation 17 is used for calculation; when the air conditioner is in heating mode, Equation 18 is used for calculation.

[0294] Calculating building heat load using multi-dimensional indicators such as indoor and outdoor temperature difference heat conduction, outside air infiltration heat, solar radiation heat, and heat generated by equipment and human body is beneficial to obtaining more accurate results, thereby providing further guidance for adjusting the operating frequency of air conditioning.

[0295] In one embodiment, the heat load calculation module includes:

[0296] The second heat conduction calculation submodule is used to determine the heat conduction information of the target indoor-outdoor temperature difference based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, the user-set temperature, and the outdoor dry-bulb temperature; the heat conduction information of the target indoor-outdoor temperature difference is used to represent the heat conduction information of the indoor-outdoor temperature difference when the indoor temperature reaches the user-set temperature;

[0297] The second infiltration heat calculation submodule is used to determine the target outside air infiltration heat information based on the building's size information, outdoor air density, air specific heat capacity, user-set temperature, and outdoor dry-bulb temperature; the target outside air infiltration heat information is used to represent the infiltration heat of the outside air when the indoor temperature reaches the user-set temperature;

[0298] The second heat load calculation submodule is used to determine the heat load of the target building based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the target outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people in the building.

[0299] In one example, the target building heat load can be obtained by substituting the user-defined temperature as the indoor dry-bulb temperature into the above formula.

[0300] By using a pre-established mathematical model, the building's heat load at the target temperature can be accurately determined, thus laying the foundation for further adjustments to the air conditioner based on the target building's heat load.

[0301] In one embodiment, the operating parameters of the air conditioner include at least one of the following: compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening.

[0302] The time determination module includes:

[0303] The output capacity determination submodule is used to determine the output capacity of the air conditioner based on at least one of the compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening; the output capacity represents the cooling / heating capacity of the air conditioner.

[0304] The first-time determination submodule is used to determine the target time based on the user-set temperature, the environmental information, the building heat load, and the output capacity of the air conditioner.

[0305] In one example, the output capacity of the air conditioner can be obtained through an air conditioner capacity prediction module.

[0306] The air conditioner capacity prediction module is debugged before the air conditioner leaves the factory. First, in the laboratory, the real-time capacity of the air conditioner is measured and recorded by changing and recording indoor and outdoor ambient temperature and humidity, compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening. Using indoor and outdoor ambient temperature and humidity, compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening as input variables, and the tested cooling or heating capacity of the air conditioner as the output variable, a neural network model is trained to predict the air conditioner's capacity based on its real-time operating parameters.

[0307] In one example, the training process of the neural network model is as follows:

[0308] Establish a database and construct mapping relationships. During database establishment, the indoor ambient temperature varies from 10 to 40℃ with a step size of 0.5℃; the indoor relative humidity varies from 20% to 100% with a step size of 1%; the outdoor ambient temperature varies from -30 to 60℃ with a step size of 0.5℃; the outdoor relative humidity varies from 20% to 100% with a step size of 1%; the compressor frequency varies from 0 to 150Hz (Hertz) with a step size of 1Hz; the outdoor fan speed varies from 100 to 1000 RPM (Revolutions Per Minute) with a step size of 50 RPM; the indoor fan speed varies from 300 to 1000 RPM with a step size of 50 RPM; and the electronic expansion valve opening varies from 0 to 500P (the opening unit of the electronic expansion valve) with a step size of 1P.

[0309] By changing different combinations of the above variables, different combinations of air conditioning cooling or heating capacity are obtained. Using these different variable combinations as model input values ​​and the air conditioning cooling or heating capacity as model output values, a neural network model for predicting air conditioning capacity is constructed.

[0310] In one embodiment, the environmental information includes: the total heat capacity of the room and the dry-bulb temperature of the room;

[0311] The first time-determining submodule includes:

[0312] The second time determination unit is used to determine the target time based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner.

[0313] In one embodiment, the user-set temperature carries a user-set air conditioning operating mode; the air conditioning operating mode includes a cooling mode and a heating mode, and the second time determination unit includes:

[0314] The cooling time determination subunit is used to determine the target time according to the following formula, based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner, under the condition that the air conditioner is in the cooling model.

[0315]

[0316] Among them, T in (t) represents the indoor dry-bulb temperature at time t, Δt represents the time interval, and T i ` n Represents the indoor dry-bulb temperature after time Δt, Q BL (t) represents the building heat load Q at time t. AC (t) and HC represent the total heat capacity of the building interior.

[0317] The heating time determination subunit is used to determine the target time according to the following formula, based on the user-set temperature, the total indoor heat capacity, the indoor dry-bulb temperature, the building heat load, and the output capacity of the air conditioner, under the condition that the air conditioner is in the heating model.

[0318]

[0319] In one embodiment, the frequency adjustment module includes:

[0320] The compressor frequency acquisition submodule is used to acquire the current compressor frequency of the air conditioner;

[0321] The frequency difference determination submodule is used to determine the target frequency difference based on the current compressor frequency and the target compressor frequency;

[0322] The rate determination submodule is used to determine the frequency adjustment rate based on the target frequency difference and the target time;

[0323] The period determination submodule is used to determine the adjustment period based on the target time;

[0324] The frequency adjustment submodule is used to adjust the compressor frequency of the air conditioner according to the frequency adjustment rate and the adjustment period.

[0325] In one embodiment, the frequency determination module includes:

[0326] The frequency prediction submodule is used to determine the target compressor frequency based on the target building heat load and the preset frequency prediction model.

[0327] In one example, the training process for a preset frequency prediction model can be as follows:

[0328] First, the indoor ambient temperature and humidity, outdoor ambient temperature and humidity, outdoor fan speed, indoor fan speed, electronic expansion valve opening, and air conditioning capacity are used as input variables, and the compressor frequency is used as the output variable to train a neural network model, thereby constructing a compressor frequency prediction model.

[0329] The target frequency prediction module uses the same training data and training method as the air conditioning capacity prediction module. The difference is that the air conditioning capacity is used as the input variable and the compressor frequency is used as the output variable in the target frequency prediction module.

[0330] In another example, the process of determining the target building heat load using a preset frequency prediction model can be as follows:

[0331] Using a building heat load prediction module, the target building heat load value is calculated based on the real-time outdoor ambient temperature and the indoor set temperature. This target building heat load value is then used to replace the air conditioning capacity and substituted into the compressor frequency prediction model to calculate the target frequency required to reach the set temperature.

[0332] By acquiring the air conditioner's operating parameters, building information, environmental information, and user-set temperature, the system accurately calculates changes in the building's heat load and adjusts the air conditioner's output accordingly. This improvement effectively avoids temperature overshoot caused by response lag in traditional air conditioning systems, ensuring that the indoor temperature can be stably and quickly reached and maintained within the user-set ideal range, greatly improving the comfort of living and working. Based on the target building heat load determined comprehensively from building information, environmental information, and user-set temperature, the system intelligently adjusts the air conditioner's operating status, such as compressor frequency, to achieve the optimal energy efficiency ratio. This refined control strategy significantly reduces energy waste, lowers the operating costs of the air conditioning system, and meets the energy-saving requirements of green buildings. Dynamically adjusting the compressor frequency based on the target building heat load not only improves the operating efficiency of the air conditioning system but also reduces wear and tear on the equipment caused by frequent start-ups or overwork. This intelligent adjustment method helps extend the service life of air conditioning equipment and reduces maintenance and replacement costs.

[0333] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0334] This invention also provides an air conditioner, including: a processor, a memory, and a computer program stored in the memory and capable of running on the processor. When the computer program is executed by the processor, it implements the various processes of the above-described air conditioner control method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here.

[0335] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various steps of the above-described air conditioner control method embodiments. To avoid repetition, these steps will not be repeated here.

[0336] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0337] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0338] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0339] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0340] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0341] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0342] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0343] The present invention has provided a detailed description of an air conditioner control method, device, air conditioner, and medium. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An air conditioner control method, characterized in that, The method includes: The system obtains the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, environmental information, and the user-set temperature. The building heat load is determined based on the building information and environmental information. The target building heat load is determined based on the building information, environmental information, and the user-set temperature; the target building heat load represents the building's heat load when the indoor temperature reaches the user-set temperature. The target time is determined based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters; the target time represents the time required for the indoor temperature to reach the user-set temperature. Determine the target compressor frequency based on the target building heat load; The compressor frequency of the air conditioner is adjusted according to the target compressor frequency and the target time.

2. The method according to claim 1, characterized in that, The building information includes: the area of ​​the building's exterior windows, doors, exterior walls, and roof, and the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof; The environmental information includes: indoor dry-bulb temperature and outdoor dry-bulb temperature; The step of determining the building heat load based on the building information and environmental information includes: Based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the indoor dry-bulb temperature and outdoor dry-bulb temperature, determine the heat conduction information of the indoor-outdoor temperature difference; The building heat load is determined based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information.

3. The method according to claim 2, characterized in that, The building information also includes: the building's dimensions and air exchange rate; the environmental information includes: outdoor air density and air specific heat capacity. The step of determining the building heat load based on the heat conduction information of the indoor-outdoor temperature difference and the environmental information includes: Based on the building's dimensions, air exchange rate, outdoor air density, air specific heat capacity, indoor dry-bulb temperature, and outdoor dry-bulb temperature, determine the outside air infiltration heat information; The building heat load is determined based on the heat conduction information of the indoor-outdoor temperature difference, the heat infiltration information of the outside air, and the environmental information.

4. The method according to claim 3, characterized in that, The environmental information also includes: solar radiation heat in the area where the building is located and heat generated by electronic devices and human bodies inside the building; The process of determining the building heat load based on the heat conduction information of the indoor-outdoor temperature difference, the external air infiltration heat information, and the environmental information includes: The building heat load is determined based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people in the building.

5. The method according to claim 4, characterized in that, The step of determining the target building heat load based on the building information, environmental information, and the user-set temperature includes: Based on the area of ​​the building's exterior windows, doors, exterior walls, and roof, the heat transfer coefficients of the building's exterior windows, doors, exterior walls, and roof, and the user-set temperature and outdoor dry-bulb temperature, the heat conduction information of the target indoor-outdoor temperature difference is determined; the heat conduction information of the target indoor-outdoor temperature difference is used to represent the heat conduction information of the indoor-outdoor temperature difference when the indoor temperature reaches the user-set temperature. Based on the building's dimensions, outdoor air density, air specific heat capacity, user-set temperature, and outdoor dry-bulb temperature, the target external air infiltration heat information is determined; the target external air infiltration heat information is used to represent the infiltration heat of the outside air when the indoor temperature reaches the user-set temperature; The target building's heat load is determined based on the heat conduction information of the indoor and outdoor temperature difference, the heat infiltration information of the target outside air, the solar radiation heat of the area where the building is located, and the heat generated by electronic devices and people inside the building.

6. The method according to claim 1, characterized in that, The operating parameters of the air conditioner include at least one of the following: compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening. The step of determining the target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters includes: The output capacity of the air conditioner is determined based on at least one of the compressor frequency, outdoor fan speed, indoor fan speed, and electronic expansion valve opening; the output capacity represents the cooling / heating capacity of the air conditioner. The target time is determined based on the user-set temperature, the environmental information, the building heat load, and the output capacity of the air conditioner.

7. The method according to claim 6, characterized in that, The environmental information includes: total indoor heat capacity and indoor dry-bulb temperature; Determining the target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's output capacity includes: The target time is determined based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity.

8. The method according to claim 7, characterized in that, The user-set temperature carries the user-set air conditioner operating mode, which includes a cooling mode and a heating mode. The process of determining the target time based on the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity includes: With the air conditioner in cooling mode, the target time is determined according to the user-set temperature, total indoor heat capacity, indoor dry-bulb temperature, building heat load, and air conditioner output capacity, using the following formula. Among them, T in (t) represents the indoor dry-bulb temperature at time t, Δt represents the time interval, and T i ` n Represents the indoor dry-bulb temperature after time Δt, Q BL (t) represents the building heat load Q at time t. AC (t) and HC represent the total heat capacity of the building interior; Under the condition that the air conditioner is in heating mode, the target time is determined according to the user-set temperature, the total indoor heat capacity, the indoor dry bulb temperature, the building heat load, and the output capacity of the air conditioner, according to the following formula; 9. The method according to claim 1, characterized in that, The step of adjusting the compressor frequency of the air conditioner according to the target compressor frequency and the target time includes: Obtain the current compressor frequency of the air conditioner; The target frequency difference is determined based on the current compressor frequency and the target compressor frequency; The frequency adjustment rate is determined based on the target frequency difference and the target time. Determine the adjustment cycle based on the target time; The compressor frequency of the air conditioner is adjusted according to the frequency adjustment rate and the adjustment cycle.

10. The method according to claim 1, characterized in that, Determining the target compressor frequency based on the target building heat load includes: The target compressor frequency is determined based on the target building heat load and the preset frequency prediction model.

11. An air conditioner control device, characterized in that, The device includes: The parameter acquisition module is used to acquire the operating parameters of the air conditioner, the building information of the building where the air conditioner is located, environmental information, and the user-set temperature. A heat load determination module is used to determine the building heat load based on the building information and environmental information. The heat load calculation module is used to determine the target building heat load based on the building information, environmental information, and the user-set temperature; the target building heat load represents the building's heat load when the indoor temperature reaches the user-set temperature. The time determination module is used to determine a target time based on the user-set temperature, the environmental information, the building heat load, and the air conditioner's operating parameters; the target time represents the time required for the indoor temperature to reach the user-set temperature. The frequency determination module is used to determine the target compressor frequency based on the target building heat load; The frequency adjustment module is used to adjust the compressor frequency of the air conditioner according to the target compressor frequency and the target time.

12. An air conditioner, characterized in that, include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the computer program, when executed by the processor, implements the steps of an air conditioner control method as described in any one of claims 1-10.

13. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the steps of an air conditioner control method as described in any one of claims 1 to 10.

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