Air conditioner control method and device, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses an air conditioner control method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of air conditioners. The method comprises the following steps: acquiring building thermal characteristic parameters and environment information of a target room; target control parameters are obtained based on the building thermal characteristic parameters, the environment information and a preset target processing model; and controlling the air conditioner to operate based on the target control parameters. Thus, by comprehensively considering the building thermal characteristic parameters and the environment information, the air conditioner can be controlled by rapidly matching the appropriate target control parameters through the pre-constructed target processing model, then the control precision of the air conditioner under different building characteristics and environment working conditions is remarkably improved, and the energy-saving effect and the user experience are greatly improved.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, specifically to an air conditioning control method, device, electronic device, and computer-readable storage medium. Background Technology

[0002] As people's living standards improve, air conditioning has become a necessity in daily life. Air conditioning can regulate indoor temperature and improve indoor air quality.

[0003] However, current air conditioning control strategies typically rely on only a single environmental factor to control the air conditioner. This approach results in poor control accuracy and high energy consumption, which can negatively impact the user experience. Summary of the Invention

[0004] This application provides an air conditioning control method, device, electronic device, and computer-readable storage medium. By comprehensively considering building thermal characteristic parameters and environmental information, it can quickly match appropriate target control parameters to control the air conditioner using a pre-built target processing model, thereby significantly improving the control accuracy of the air conditioner under different building characteristics and environmental conditions, and thus improving energy-saving effect and user experience.

[0005] In a first aspect, embodiments of this application provide an air conditioning control method, including: Obtain the building thermal characteristics parameters and environmental information of the target room; Based on the building thermal characteristic parameters, the environmental information, and the preset target processing model, target control parameters are obtained; the target processing model characterizes the functional relationship between the building thermal characteristic parameters, the environmental information, and the target control parameters. The air conditioner is controlled based on the target control parameters.

[0006] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room; the environmental information includes the current indoor temperature, the current outdoor temperature, and the current rate of change of room temperature; and the target control parameters include the target compressor frequency and the target valve opening. The target control parameters are obtained based on the building thermal characteristic parameters, the environmental information, and the preset target processing model, including: Substituting the building thermal characteristic parameters and the environmental information into the target processing model, a control parameter model is obtained; the control parameter model characterizes the functional relationship between compressor frequency and valve opening. Based on the control parameter model, multiple combinations of control parameters are determined; the combinations of control parameters include the compressor frequency and the valve opening degree. A target parameter combination is determined from among a plurality of parameter combinations, the target parameter combination including the target compressor frequency and the target valve opening.

[0007] In one embodiment, determining the target parameter combination among the plurality of parameter combinations includes: Determine the total energy consumption corresponding to each of the multiple parameter combinations; The parameter combination that minimizes the total energy consumption is determined as the target parameter combination.

[0008] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room, and the building thermal characteristic parameters are determined based on the following method: When the target room is unoccupied, the air conditioner is controlled to operate at the first operating power, and the first room temperature change rate, first indoor temperature, first outdoor temperature and first air conditioner thermal power parameters of the target room are obtained for the two time periods respectively. The heat gain parameter is determined as the target value, and based on the target value, the first air conditioning heat power parameter, the first room temperature change rate, the first indoor temperature, the first outdoor temperature, and the building thermal characteristic model, the first effective heat capacity and the first equivalent thermal resistance are obtained; the building thermal characteristic model represents the functional relationship between the effective heat capacity, equivalent thermal resistance, heat gain parameter, room temperature change rate, air conditioning heat power parameter, indoor temperature, and outdoor temperature. The first effective heat capacity is determined as the target effective heat capacity, and the first equivalent thermal resistance is determined as the target equivalent thermal resistance; When the target room is occupied, the air conditioner is controlled to operate at the second operating power, and the second room temperature change rate, second indoor temperature, second outdoor temperature and second air conditioner thermal power parameters of the target room are obtained at the first preset time. Based on the second air conditioning thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the second room temperature change rate, the second indoor temperature and the second outdoor temperature, and the building thermal characteristic model, the first thermal gain parameter is obtained by solving. The first thermal gain parameter is determined as the target thermal gain parameter.

[0009] In one embodiment, after determining the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance, the method further includes: When the target room is unoccupied, the process of controlling the air conditioner to operate at the third operating power is repeated, and the third room temperature change rate, third indoor temperature, third outdoor temperature, and third air conditioner thermal power parameters of the target room are obtained for each of the two time periods. The thermal gain parameter is determined as the target value, and based on the target value, the third air conditioner thermal power parameters, the third room temperature change rate, the third indoor temperature, the third outdoor temperature, and the building thermal characteristic model, the steps of solving for the second effective heat capacity and the second equivalent thermal resistance are obtained, and the quantities of the second effective heat capacity and the second equivalent thermal resistance both reach the first quantity threshold. Based on multiple second effective heat capacities, the first effective heat capacity is modified to obtain a third effective heat capacity; based on multiple second equivalent thermal resistances, the first equivalent thermal resistance is modified to obtain a third equivalent thermal resistance. The third effective heat capacity is determined as the target effective heat capacity, and the third equivalent thermal resistance is determined as the target equivalent thermal resistance.

[0010] In one embodiment, after determining the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance, the method further includes: During the target time period when the air conditioner is off and the target room is unoccupied, the process of obtaining the fourth room temperature change rate, the fourth indoor temperature, and the fourth outdoor temperature of the target room is repeated. Based on the third equivalent thermal resistance, the fourth room temperature change rate, the fourth indoor temperature, the fourth outdoor temperature, and the simplified building thermal characteristic model, the fourth effective heat capacity is calculated until the number of fourth effective heat capacities reaches the second quantity threshold. The simplified building thermal characteristic model represents the functional relationship between effective heat capacity, equivalent thermal resistance, room temperature change rate, indoor temperature, and outdoor temperature. The third effective heat capacity is modified based on multiple fourth effective heat capacities to obtain the target effective heat capacity; During the target time period when the air conditioner is off and the target room is unoccupied, the steps of obtaining the fifth room temperature change rate, the fifth indoor temperature and the fifth outdoor temperature of the target room are repeated, and the fourth equivalent thermal resistance is obtained based on the target effective heat capacity, the fifth room temperature change rate, the fifth indoor temperature, the fifth outdoor temperature and the simplified model of building thermal characteristics, until the number of fourth equivalent thermal resistances reaches the third quantity threshold. Based on multiple fourth equivalent thermal resistances, the third equivalent thermal resistance is modified to obtain the target equivalent thermal resistance.

[0011] In one embodiment, after determining the first thermal gain parameter as the target thermal gain parameter, the method further includes: When the target room is occupied, the process of controlling the air conditioner to operate at the fourth operating power is repeated, and the sixth room temperature change rate, sixth indoor temperature, sixth outdoor temperature, and fourth air conditioner thermal power parameters of the target room are obtained at the first preset time. Based on the fourth air conditioner thermal power parameters, the target effective heat capacity, the target equivalent thermal resistance, the sixth room temperature change rate, the sixth indoor temperature, the sixth outdoor temperature, and the building thermal characteristic model, the second thermal gain parameter is obtained, until the number of the second thermal gain parameters reaches the four quantity thresholds. The first thermal gain parameter is modified based on multiple second thermal gain parameters to obtain the target thermal gain parameter.

[0012] Secondly, embodiments of this application provide an air conditioning control device, the device comprising: The data acquisition module is used to acquire the building thermal characteristics parameters and environmental information of the target room; The parameter determination module is used to obtain target control parameters based on the building thermal characteristic parameters, the environmental information, and a preset target processing model; the target processing model represents the functional relationship between the building thermal characteristic parameters, the environmental information, and the target control parameters. An air conditioning control module is used to control the operation of the air conditioner based on the target control parameters.

[0013] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room; the environmental information includes the current indoor temperature, the current outdoor temperature, and the current rate of change of room temperature; and the target control parameters include the target compressor frequency and the target valve opening. The parameter determination module includes: The model determination submodule is used to substitute the building thermal characteristic parameters and the environmental information into the target processing model to obtain the control parameter model; the control parameter model represents the functional relationship between compressor frequency and valve opening. The parameter combination determination submodule is used to determine multiple control parameter combinations based on the control parameter model; the control parameter combinations include the compressor frequency and the valve opening degree; The target parameter determination submodule is used to determine a target parameter combination among multiple parameter combinations, the target parameter combination including the target compressor frequency and the target valve opening.

[0014] In one embodiment, the target parameter determination submodule includes: An energy consumption determination unit is used to determine the total energy consumption corresponding to each of the multiple parameter combinations; The target parameter determination unit is used to determine the parameter combination that minimizes the total energy consumption as the target parameter combination.

[0015] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room, and the air conditioning control device further includes: The first parameter acquisition module is used to control the air conditioner to operate at a first operating power when the target room is unoccupied, and to acquire the first room temperature change rate, first indoor temperature, first outdoor temperature and first air conditioner thermal power parameters of the target room in two time periods respectively. The first parameter solving module is used to determine the thermal gain parameter as a target value, and based on the target value, the first air conditioning thermal power parameter, the first room temperature change rate, the first indoor temperature, the first outdoor temperature, and the building thermal characteristic model, to solve for the first effective heat capacity and the first equivalent thermal resistance; the building thermal characteristic model represents the functional relationship between the effective heat capacity, equivalent thermal resistance, thermal gain parameter, room temperature change rate, air conditioning thermal power parameter, indoor temperature, and outdoor temperature; The first parameter determination module is used to determine the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance. The second parameter acquisition module is used to control the air conditioner to operate at a second operating power when the target room is occupied, and to acquire the second room temperature change rate, second indoor temperature, second outdoor temperature and second air conditioner thermal power parameters of the target room corresponding to a first preset time period. The second parameter solving module is used to solve for the first thermal gain parameter based on the second air conditioning thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the second room temperature change rate, the second indoor temperature, the second outdoor temperature, and the building thermal characteristic model. The second parameter determination module is used to determine the first thermal gain parameter as the target thermal gain parameter.

[0016] In one embodiment, the air conditioning control device further includes: The first repetitive solution module is used to repeatedly execute the steps of controlling the air conditioner to operate at the third operating power when the target room is unoccupied, and to obtain the third room temperature change rate, third indoor temperature, third outdoor temperature and third air conditioner thermal power parameters corresponding to the target room in the two time periods respectively; to determine the thermal gain parameter as the target value, and to solve for the second effective heat capacity and the second equivalent thermal resistance based on the target value, the third air conditioner thermal power parameters, the third room temperature change rate, the third indoor temperature and the third outdoor temperature and the building thermal characteristic model, and to directly reach the first quantity threshold for the quantities of the second effective heat capacity and the second equivalent thermal resistance. The first parameter correction module is used to correct the first effective heat capacity based on multiple second effective heat capacities to obtain a third effective heat capacity; and to correct the first equivalent thermal resistance based on multiple second equivalent thermal resistances to obtain a third equivalent thermal resistance. The third parameter determination module is used to determine the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance.

[0017] In one embodiment, the air conditioning control device further includes: The second repetitive solution module is used to repeatedly execute the steps of obtaining the fourth room temperature change rate, the fourth indoor temperature, and the fourth outdoor temperature of the target room during the target time when the air conditioner is off and the target room is unoccupied, and to solve for the fourth effective heat capacity based on the third equivalent thermal resistance, the fourth room temperature change rate, the fourth indoor temperature, the fourth outdoor temperature, and the simplified building thermal characteristic model, until the number of fourth effective heat capacities reaches the second quantity threshold; the simplified building thermal characteristic model represents the functional relationship between effective heat capacity, equivalent thermal resistance, room temperature change rate, indoor temperature, and outdoor temperature; The second parameter correction module is used to correct the third effective heat capacity based on multiple fourth effective heat capacities to obtain the target effective heat capacity; The third repetitive solution module is used to repeatedly execute the steps of obtaining the fifth room temperature change rate, the fifth indoor temperature and the fifth outdoor temperature of the target room during the target time when the air conditioner is off and the target room is unoccupied, and to solve for the fourth equivalent thermal resistance based on the target effective heat capacity, the fifth room temperature change rate, the fifth indoor temperature, the fifth outdoor temperature and the simplified model of building thermal characteristics, until the number of the fourth equivalent thermal resistances reaches the third quantity threshold. The third parameter correction module is used to correct the third equivalent thermal resistance based on multiple fourth equivalent thermal resistances to obtain the target equivalent thermal resistance.

[0018] In one embodiment, the air conditioning control device further includes: The fourth repetitive solution module is used to repeatedly execute the following steps when the target room is occupied: control the air conditioner to operate at the fourth operating power, and obtain the sixth room temperature change rate, sixth indoor temperature, sixth outdoor temperature, and fourth air conditioner thermal power parameters corresponding to the first preset time period of the target room; and solve for the second thermal gain parameter based on the fourth air conditioner thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the sixth room temperature change rate, the sixth indoor temperature, the sixth outdoor temperature, and the building thermal characteristic model, until the number of the second thermal gain parameters reaches the fourth quantity threshold. The fourth parameter correction module is used to correct the first thermal gain parameter based on multiple second thermal gain parameters to obtain the target thermal gain parameter.

[0019] Thirdly, embodiments of this application also provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps in the above-described air conditioning control method.

[0020] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the aforementioned air conditioning control method.

[0021] Fifthly, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described in the embodiments of this application.

[0022] In summary, in this embodiment, by acquiring the building thermal characteristic parameters and environmental information of the target room, target control parameters can be obtained based on the building thermal characteristic parameters, environmental information, and a preset target processing model. Then, the air conditioning operation can be controlled based on these target control parameters. Thus, by comprehensively considering the building thermal characteristic parameters and environmental information, the pre-built target processing model can be used to quickly match suitable target control parameters to control the air conditioning, thereby significantly improving the control accuracy of the air conditioning under different building characteristics and environmental conditions, and greatly enhancing energy-saving effects and user experience. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a schematic flowchart of an air conditioning control method provided in an embodiment of this application; Figure 2 This is a schematic diagram of a specific embodiment of the method for determining target control parameters provided in this application; Figure 3 This is a schematic diagram of a specific embodiment of determining building thermal characteristic parameters provided in this application; Figure 4 This is a schematic diagram of the structure of an air conditioning control device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0025] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] It's important to note that traditional air conditioning temperature control currently relies primarily on a simple "set-feedback" model. This involves using an indoor temperature sensor to detect the current temperature and comparing it to the user's set value to control the air conditioner's operation. This method suffers from significant lag, causing the indoor temperature to fluctuate frequently around the set point, resulting in poor comfort. While intelligent thermostats capable of learning user behavior patterns or incorporating external weather information have emerged in recent years, their core control mechanism still relies on fixed rules, failing to fundamentally solve the problem of lag control.

[0027] In particular, the above problems are more pronounced for multi-split air conditioning systems. Because the building thermal characteristics of each room within the system differ, and the cooling / heating demands of each indoor unit change dynamically, traditional control methods cannot develop personalized operating strategies for different rooms. This often leads to frequent compressor start-ups and shutdowns or prolonged high-load operation, resulting in not only huge energy consumption but also affecting the lifespan of the equipment.

[0028] To address the problems of current air conditioning control methods, such as control lag, high energy consumption, poor comfort, and inability to adapt to different building dynamic thermal characteristics, this application aims to provide an air conditioning control method. By acquiring the building thermal characteristic parameters and environmental information of the target room, target control parameters can be obtained based on these parameters and a pre-built target processing model. Furthermore, the air conditioning operation can be controlled based on these target control parameters. Thus, by comprehensively considering the building thermal characteristic parameters and environmental information, the pre-built target processing model can quickly match appropriate target control parameters to control the air conditioning, significantly improving the control accuracy of the air conditioning under different building characteristics and environmental conditions, and greatly enhancing energy-saving effects and user experience.

[0029] The following sections provide detailed descriptions of each example. It should be noted that the order in which the embodiments are described is not intended to limit the priority of the embodiments.

[0030] Figure 1 The illustration shows a schematic flowchart of an air conditioning control method according to an embodiment of this application. The entity executing the air conditioning control method can be an air conditioning control device, which can be integrated into an electronic device, such as a server or a terminal.

[0031] The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, network acceleration services (Content Delivery Network, CDN), as well as big data and artificial intelligence platforms.

[0032] The terminal can be an air conditioner or a control terminal for controlling the air conditioner. The control terminal can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal and the server can be connected directly or indirectly through wired or wireless communication, which is not limited herein.

[0033] The following sections provide detailed descriptions of each example. It should be noted that the order in which the embodiments are described is not intended to limit the preferred order of the embodiments.

[0034] In this embodiment, the description will be from the perspective of an air conditioning control device, which can be integrated into a server or terminal. To facilitate the explanation of the air conditioning control method of this application, the following will describe the air conditioning control device integrated into the air conditioner, that is, the air conditioner will be used as the execution subject for detailed explanation.

[0035] Reference Figure 1This application illustrates an air conditioning control method, which includes steps S101 to S103, as follows: S101: Obtain the building thermal characteristics parameters and environmental information of the target room.

[0036] In this embodiment, the target room refers to the room where air conditioning is needed to regulate the temperature. The air conditioner can be a split-type air conditioner or a multi-split air conditioner; this embodiment does not limit the specific type of air conditioner. A split-type air conditioner includes one outdoor unit and one indoor unit, which are directly connected via refrigerant pipes, and is used to independently control the temperature and humidity of a single room. A multi-split air conditioner includes one outdoor unit and multiple indoor units, with the outdoor unit connected to the multiple indoor units, achieving multi-zone control through refrigerant distribution.

[0037] In this embodiment, the target room can be the room where the indoor unit of a split-type air conditioner is located, or it can be any one of the multiple rooms corresponding to the multiple indoor units of a multi-split air conditioner. When the air conditioner is a multi-split air conditioner, targeted control of different rooms can be achieved.

[0038] In this embodiment, building thermal characteristic parameters are physical parameters used to quantitatively describe the thermal performance of the target room itself. Unlike traditional, fixed equipment parameters, building thermal characteristic parameters are attribute information that dynamically changes with factors such as building structure, materials, orientation, and floor level. That is, different rooms can correspond to different building thermal characteristic parameters.

[0039] In this embodiment, the building thermal characteristic parameters may specifically include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameter of the target room. Specifically, the target effective heat capacity characterizes the ability of the building envelope (such as walls and floors) and indoor objects of the target room to store heat; a room with a large effective heat capacity experiences slower temperature changes and has stronger "thermal inertia." The target equivalent thermal resistance characterizes the ability of the building envelope of the target room to impede the transfer of heat between the indoor and outdoor environments; a room with a large equivalent thermal resistance has better insulation performance and is less affected by outdoor temperatures. The target thermal gain parameter characterizes the heat generated by internal heat sources such as indoor occupants and equipment; this parameter enables the system to sense and respond to changes in heat load caused by indoor occupant activities.

[0040] In this embodiment, the building thermal characteristic parameters can be obtained by testing the target room with an air conditioner, or obtained from other devices via network, Bluetooth, etc. This embodiment does not make specific limitations.

[0041] In this embodiment, the environmental information refers to the state information of the environment in which the target room is located. Specifically, the environmental information may include the current indoor temperature, the current outdoor temperature, and the current rate of change of the room temperature.

[0042] In this embodiment, environmental information can be collected by sensors configured in the air conditioner, and / or obtained from other devices via networks, Bluetooth, etc. This embodiment does not limit the method of obtaining environmental information.

[0043] S102: Based on building thermal characteristic parameters, environmental information, and a preset target processing model, the target control parameters are obtained.

[0044] In this embodiment, the target processing model characterizes the functional relationship between building thermal characteristic parameters, environmental information, and target control parameters.

[0045] In this embodiment, the target processing model can be a mathematical model constructed based on the principles of building thermodynamics. Specifically, under specific building thermal characteristic parameters, different control parameters can cause corresponding changes in environmental information; while the same control parameters will cause different changes in environmental information in rooms with different building thermal characteristic parameters.

[0046] In this embodiment, the differential equation for the building's thermal balance can be expressed as: (1); in, Indicates effective heat capacity. Indicates the rate of change of room temperature; This indicates the air conditioner's thermal power parameters; Indicates the thermal gain parameter; This indicates the amount of heat exchange between the room's interior and the outside environment.

[0047] In this embodiment, It can be calculated based on indoor temperature, outdoor temperature, and equivalent thermal resistance. Specifically, It can be represented as: (2); in, Indicates the outdoor temperature; Indicates indoor temperature; This represents the equivalent thermal resistance.

[0048] In this embodiment, the air conditioning thermal power parameters This parameter represents the air conditioner's heat handling capacity; it can be either heating or cooling capacity. This air conditioner's heat power parameter is affected by both compressor frequency and valve opening. The functional relationship between the air conditioner's heat power parameter and these two factors can be expressed as: Q=k*f_comp*k_α(3; Where k represents the valve opening degree; f_comp represents the compressor frequency; and k_α represents the distribution coefficient.

[0049] In this embodiment, the distribution coefficient represents the relationship between valve opening and flow distribution. Given a fixed total cooling capacity, the percentage of flow rate of an indoor unit determines its proportion of the total cooling capacity.

[0050] In this embodiment, by combining formulas (1) to (3), the target processing model can be constructed, which can be expressed as: (4); In this embodiment, based on the target processing model, corresponding target control parameters can be matched for building thermal characteristic parameters and environmental information. These target control parameters are control parameters that match the building thermal characteristic parameters of the target room.

[0051] S103: Control the operation of the air conditioner based on the target control parameters.

[0052] In this embodiment, after determining the target control parameters, the air conditioner can generate a control command containing the target control parameters and send the control command to the target component of the air conditioner. The target component then responds to the control command and executes the operation corresponding to the target control parameters to complete the automatic control of the air conditioner. Here, the target component refers to the component used to implement the air conditioner's functions; different target components are used to implement different functions of the air conditioner.

[0053] In this embodiment, the target components may include a compressor and a valve, and the target control parameters may specifically include the target compressor frequency and the target valve opening degree. The compressor is the core power source of the air conditioning system, and its operating frequency directly determines the system's total cooling / heating capacity. The valve is installed in the indoor unit of the air conditioner and precisely controls the flow of refrigerant into the room by adjusting its opening degree, thereby achieving independent and on-demand allocation of cooling capacity to the target room.

[0054] In this embodiment, the compressor operation is typically controlled based on the target compressor frequency, and the valve operation is controlled based on the target valve opening degree. This enables the compressor and valve to work in tandem, thereby achieving precise regulation of the room temperature.

[0055] In this embodiment, by comprehensively considering building thermal characteristic parameters and environmental information, a pre-built target processing model can be used to quickly match suitable target control parameters for air conditioning control. This yields the following beneficial effects: 1. Improved air conditioning control precision: By combining the building thermal characteristics parameters of the target room for control, the air conditioning no longer simply relies on environmental information such as temperature for control. Instead, it can make full use of the building's thermal inertia and adopt control parameters suitable for the target room, making the air conditioning temperature control more accurate and timely, thereby greatly improving the user's comfort experience.

[0056] 2. Significantly Improved Energy Efficiency: Because the target control parameters are optimally determined based on building thermal characteristics and environmental information, the system can avoid unnecessary frequent compressor start-ups and shutdowns and high-load operation. For example, in summer, "pre-cooling" can be carried out during the night or early morning when electricity prices are lower, storing cooling capacity in the high-heat-capacity walls. This reduces the air conditioning operating time or power during the hottest afternoon hours, achieving "peak shaving and valley filling" and significantly improving overall energy efficiency.

[0057] 3. Highly adaptable and personalized: It can tailor the optimal parameter control strategy for each room. Whether the room is a newly built house with good insulation, an old apartment with poor thermal performance, or a top-floor room that is "cold in winter and hot in summer", the system can learn its unique building dynamic thermal characteristics and then determine the most suitable target control parameters, making it highly versatile.

[0058] In one feasible implementation, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room; environmental information includes the current indoor temperature, current outdoor temperature, and current rate of change of room temperature; and target control parameters include the target compressor frequency and target valve opening. (Refer to...) Figure 2 The steps for obtaining target control parameters based on building thermal characteristic parameters, environmental information, and a preset target processing model may specifically include steps S201 to S203, as follows: S201: Substitute the building thermal characteristic parameters and environmental information into the target processing model to obtain the control parameter model.

[0059] In this embodiment, by substituting the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room, as well as the current indoor temperature, current outdoor temperature, and current room temperature change rate into the target processing model of formula (4), a control parameter model that is only related to the compressor frequency and valve opening can be obtained. This control parameter model characterizes the functional relationship between the compressor frequency and valve opening.

[0060] S202: Based on the control parameter model, determine multiple combinations of control parameters.

[0061] In this embodiment, the combination of control parameters includes compressor frequency and valve opening degree.

[0062] It should be noted that since the control parameter model is a linear function in two variables, there can be multiple combinations of control parameters, meaning that each combination of control parameters represents a feasible solution to the control parameter model.

[0063] In this embodiment, a preset number of control parameter combinations are determined based on the control parameter model. These multiple control parameter combinations can be represented as {(f1_comp, k1_α), (f2_comp, k2_α), ..., (fn_comp, kn_α)}, where n represents the preset number.

[0064] S203: Determine the target parameter combination from multiple parameter combinations.

[0065] In this embodiment, a target parameter combination can be determined from multiple parameter combinations according to actual needs. The target parameter combination includes the target compressor frequency and the target valve opening degree.

[0066] In this embodiment, a target parameter combination can be determined from multiple parameter combinations according to a preset optimization objective. The optimization objective can be optimal energy consumption or optimal comfort.

[0067] In this embodiment, by substituting building thermal characteristic parameters and environmental information into the target processing model, a control parameter model related to compressor frequency and valve opening can be obtained. Then, the optimal target parameter combination can be determined from multiple parameter combinations corresponding to the control parameter model, thereby improving energy efficiency and comfort.

[0068] In this embodiment, the step of determining the target parameter combination among multiple parameter combinations may specifically include: determining the total energy consumption corresponding to each of the multiple parameter combinations; and determining the parameter combination with the minimum total energy consumption as the target parameter combination.

[0069] In this embodiment, to determine the target parameter combination with the lowest energy consumption, the air conditioner will determine the total energy consumption corresponding to any one of multiple parameter combinations. The total energy consumption corresponding to the parameter combination refers to the total electrical energy consumed by the air conditioner within the target time range when executing that parameter combination.

[0070] In a specific implementation, the steps for determining the total energy consumption corresponding to the parameter combination may include: obtaining an energy consumption lookup table, which shows the correspondence between compressor frequency and valve opening degree and total energy consumption; and determining the total energy consumption corresponding to the parameter combination based on the energy consumption lookup table and the compressor frequency and valve opening degree corresponding to the parameter combination.

[0071] In a specific implementation, the step of determining the total energy consumption corresponding to the parameter combination may include: inputting the parameter combination into a preset energy consumption prediction model to obtain the total energy consumption corresponding to the parameter combination output by the energy consumption prediction model. The energy consumption prediction model is trained based on sample parameter combinations, which contain energy consumption labels.

[0072] In this embodiment, the energy consumption prediction model can be trained in the following way: inputting the sample parameter combination into the model to be trained to obtain the predicted energy consumption output by the model to be trained; calculating the loss function value based on the predicted energy consumption and the energy consumption label corresponding to the sample parameter combination; updating the model to be trained based on the loss function value until the model to be trained meets the preset training stopping condition, thereby obtaining the energy consumption prediction model.

[0073] In this embodiment, by taking the minimum total energy consumption as the objective, a target parameter combination is determined from multiple parameter combinations. This ensures that the target parameter combination is the most energy-efficient among all feasible solutions, thereby effectively improving the energy-saving effect of the air conditioner while meeting temperature control requirements.

[0074] In one feasible implementation, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room, with reference to... Figure 3 The building's thermal characteristics parameters can be obtained through steps S301 to S306, as follows: S301: When the target room is unoccupied, control the air conditioner to operate at the first operating power, and obtain the first room temperature change rate, first indoor temperature, first outdoor temperature and first air conditioner thermal power parameters of the target room in the two time periods respectively.

[0075] In this embodiment, the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters will be solved in stages based on the building thermal characteristic model.

[0076] In practice, the building thermal characteristic parameters in the building thermal characteristic model will be solved by running the air conditioner under different operating conditions and collecting data.

[0077] In this embodiment, the first air conditioning thermal power parameter can be either cooling capacity or heating capacity. That is, when the air conditioner operates in heating mode according to the first operating power, the first air conditioning thermal power parameter represents the heating capacity; when the air conditioner operates in cooling mode according to the first operating power, the first air conditioning thermal power parameter represents the cooling capacity.

[0078] In this embodiment, the first air conditioner thermal power parameter can be calculated based on the first operating power. Specifically, the first air conditioner thermal power parameter can be determined based on the air conditioner's energy efficiency ratio and the first operating power; that is, the product of the air conditioner's energy efficiency ratio and the first operating power can be determined as the first air conditioner thermal power parameter. In this embodiment, the first air conditioning thermal power parameter can also be calculated based on the compressor frequency. Specifically, the first air conditioning thermal power parameter corresponding to the compressor frequency can be determined based on a preset characteristic curve or data table that characterizes the relationship between the compressor frequency and the air conditioning thermal power parameter.

[0079] S302: Determine the thermal gain parameter as the target value, and based on the target value, the first air conditioning thermal power parameter, the first room temperature change rate, the first indoor temperature, the first outdoor temperature and the building thermal characteristic model, solve for the first effective heat capacity and the first equivalent thermal resistance.

[0080] In this embodiment, the building thermal characteristic model characterizes the functional relationship between effective heat capacity, equivalent thermal resistance, thermal gain parameter, room temperature change rate, air conditioning thermal power parameter, indoor temperature, and outdoor temperature. This building thermal characteristic model is obtained by combining formulas (1) and (2), and can be expressed as: (5); In this embodiment, when the target room is unoccupied, the thermal gain parameter of the people inside the target room is 0. At this time, the thermal gain parameter can be... The target value is determined. For example, the target value can be set to 0, or other values. For instance, the thermal gain parameter of the internal equipment of the target room can also be used to determine the target value.

[0081] In this embodiment, by inputting the first room temperature change rate, first indoor temperature, first outdoor temperature, and first air conditioning heat power parameters corresponding to the target room in two time periods into the building thermal characteristic model, the heat gain parameter... For a fixed target value, we can obtain the following two systems of linear equations in two variables concerning effective heat capacity and equivalent thermal resistance: (6); (7); in, and These represent the first rate of change of room temperature for each of the two time periods; and These represent the first air conditioning thermal power parameters corresponding to the two time periods, respectively. and These represent the first outdoor temperature corresponding to each of the two time periods; and These represent the first indoor temperature corresponding to each of the two time periods.

[0082] In this embodiment, the first effective heat capacity can be obtained by simultaneously solving equations (6) and (7). and first equivalent thermal resistance .

[0083] S303: The first effective heat capacity is determined as the target effective heat capacity, and the first equivalent thermal resistance is determined as the target equivalent thermal resistance.

[0084] In this embodiment, by conducting the test in an unoccupied target room, the thermal gain parameter Q_gain can be determined as a fixed target value, thereby effectively reducing unknown variables and improving the accuracy and efficiency of the solution.

[0085] In this embodiment, the first effective heat capacity is calculated based on only one set of measured data. and first equivalent thermal resistance There may be some errors. Therefore, to improve the accuracy of the target effective heat capacity and target equivalent thermal resistance, after determining the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance, the following steps may be included: With the target room unoccupied, repeatedly execute the control of the air conditioner to operate at the third operating power, and obtain the third room temperature change rate, third indoor temperature, third outdoor temperature, and third air conditioner thermal power parameters for the target room in two time periods; determine the thermal gain parameter as the target value, and based on the target value, the third air conditioner thermal power parameters, the third room temperature change rate, the third indoor temperature, the third outdoor temperature, and the building thermal characteristic model, solve for the second effective heat capacity and the second equivalent thermal resistance, directly ensuring that the number of second effective heat capacities and second equivalent thermal resistances both reach a first quantity threshold; based on multiple second effective heat capacities, correct the first effective heat capacity to obtain the third effective heat capacity; based on multiple second equivalent thermal resistances, correct the first equivalent thermal resistance to obtain the third equivalent thermal resistance; determine the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance.

[0086] In this embodiment, the third air conditioning thermal power parameter can be calculated based on the third operating power or the compressor frequency. The calculation process for the third air conditioning thermal power parameter can refer to the calculation process for the first air conditioning thermal power parameter, and will not be repeated here.

[0087] In this embodiment, the step of modifying the first effective heat capacity based on multiple second effective heat capacities to obtain the third effective heat capacity may specifically include: determining the average value of the first effective heat capacity and multiple second effective heat capacities as the third equivalent thermal resistance; or, determining the weighted average value of the first effective heat capacity and multiple second effective heat capacities as the third equivalent thermal resistance.

[0088] In this embodiment, the step of modifying the first equivalent thermal resistance based on multiple second equivalent thermal resistances to obtain a third equivalent thermal resistance may specifically include: determining the average value of the first equivalent thermal resistance and multiple second equivalent thermal resistances as the third equivalent thermal resistance; or, determining the weighted average value of the first equivalent thermal resistance and multiple second equivalent thermal resistances as the third equivalent thermal resistance.

[0089] In this embodiment, by repeatedly solving for the second effective heat capacity and the second equivalent thermal resistance when the target room is unoccupied, and correcting the initial first effective heat capacity and the first equivalent thermal resistance, a more accurate third effective heat capacity and the third equivalent thermal resistance can be obtained and determined as the new target effective heat capacity and the target equivalent thermal resistance. This effectively eliminates random errors that may exist in a single or a few measurements (such as those caused by instantaneous sensor noise or brief fluctuations in outdoor wind speed), greatly improving the measurement accuracy and reliability of building thermal characteristic parameters.

[0090] In this embodiment, to further improve the accuracy of the target effective heat capacity and target equivalent thermal resistance, after determining the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance, the following steps may be included: During the target time period when the air conditioner is off and the target room is unoccupied, repeatedly execute the steps of obtaining the fourth room temperature change rate, the fourth indoor temperature, and the fourth outdoor temperature of the target room, and solving for the fourth effective heat capacity based on the third equivalent thermal resistance, the fourth room temperature change rate, the fourth indoor temperature, the fourth outdoor temperature, and the simplified building thermal characteristic model, until the number of fourth effective heat capacities reaches the second quantity threshold; the simplified building thermal characteristic model characterizes the effective heat capacity... The functional relationship between heat capacity, equivalent thermal resistance, room temperature change rate, indoor temperature, and outdoor temperature is established. The third effective heat capacity is corrected based on multiple fourth effective heat capacities to obtain the target effective heat capacity. Under the condition that the air conditioner is off for the target duration and the target room is unoccupied, the steps of obtaining the fifth room temperature change rate, fifth indoor temperature, and fifth outdoor temperature of the target room are repeated. Based on the target effective heat capacity, the fifth room temperature change rate, the fifth indoor temperature, the fifth outdoor temperature, and the simplified model of building thermal characteristics, the fourth equivalent thermal resistance is calculated until the number of fourth equivalent thermal resistances reaches the third threshold. Based on multiple fourth equivalent thermal resistances, the third equivalent thermal resistance is corrected to obtain the target equivalent thermal resistance.

[0091] In this embodiment, after the air conditioner is turned off, the indoor temperature will naturally decrease or increase. By setting a target duration, the accuracy of the room temperature change rate can be ensured. Specifically, the target duration can be determined based on the temperature difference between the indoor and outdoor temperatures. In this way, a suitable target duration can be dynamically determined.

[0092] In this embodiment, when the air conditioner is off for the target duration and the target room is unoccupied, the air conditioning thermal power parameters in the building thermal characteristic model can be directly applied. By setting the value to 0, and simultaneously setting the thermal gain Q_gain to 0, a simplified model of the building's thermal characteristics can be obtained. This simplified model can be expressed as: (8); In this embodiment, the parameter correction process is performed when the air conditioner is off and the room is unoccupied. This allows the system to operate in its purest heat exchange state, thereby simplifying the parameters.

[0093] In this embodiment, when repeatedly solving for the fourth equivalent thermal resistance, the third equivalent thermal resistance R is first fixed, and then the third equivalent thermal resistance, the new fourth room temperature change rate, the fourth indoor temperature and the fourth outdoor temperature collected each time are substituted into formula (8) to obtain the new fourth effective heat capacity. After the fourth effective heat capacity reaches the second quantity threshold, the previous third effective heat capacity is corrected with the fourth effective heat capacity of the second quantity threshold to obtain the final target effective heat capacity.

[0094] In this embodiment, the step of modifying the third effective heat capacity based on multiple fourth effective heat capacities to obtain the target effective heat capacity may specifically include: determining the average value of the third effective heat capacity and multiple fourth effective heat capacities as the target effective heat capacity; or, determining the weighted average value of the third effective heat capacity and multiple fourth effective heat capacities as the target effective heat capacity.

[0095] In this embodiment, after determining the accurate value of the target effective heat capacity, the target effective heat capacity C can be fixed. Then, the target effective heat capacity, the new fifth room temperature change rate, the fifth indoor temperature and the fifth outdoor temperature collected each time are substituted into formula (8) to obtain the new fourth equivalent thermal resistance. After the fourth equivalent thermal resistance reaches the third quantity threshold, the previous third equivalent thermal resistance is corrected by the fourth equivalent thermal resistance of the third quantity threshold to obtain the final target equivalent thermal resistance.

[0096] In this embodiment, by controlling the air conditioner to be turned off and the target room to be unoccupied, parameter calibration can be performed under the condition that the two biggest sources of interference, namely air conditioner operation and human activity, are completely eliminated. This allows the calculated target effective heat capacity and target equivalent thermal resistance to most realistically reflect the building thermal characteristics of the building envelope itself. At the same time, by first fixing the third equivalent thermal resistance to calculate the accurate target effective heat capacity, and then fixing the target effective heat capacity to calculate the accurate target equivalent thermal resistance, the uncertainty caused by the simultaneous change of the two variables can be effectively avoided, making the correction process more stable and efficient.

[0097] S304: When the target room is occupied, control the air conditioner to operate at the second operating power, and obtain the second room temperature change rate, second indoor temperature, second outdoor temperature and second air conditioner thermal power parameters of the target room corresponding to the first preset time.

[0098] In this embodiment, the second air conditioning thermal power parameter can be calculated based on the second operating power or the compressor frequency. The calculation process for the third air conditioning thermal power parameter can refer to the calculation process for the first air conditioning thermal power parameter, and will not be repeated here.

[0099] In this embodiment, after obtaining the accurate target effective heat capacity and target equivalent thermal resistance, the target thermal gain parameter will be solved based on the target effective heat capacity and target equivalent thermal resistance.

[0100] In this embodiment, parameter solving is performed when there are people in the target room, which can effectively determine the impact of personnel activities on the target thermal gain parameters.

[0101] S305: Based on the second air conditioning thermal power parameter, target effective heat capacity, target equivalent thermal resistance, second room temperature change rate, second indoor temperature, second outdoor temperature, and building thermal characteristic model, the first thermal gain parameter is obtained by solving.

[0102] In this embodiment, since the target effective heat capacity and the target equivalent thermal resistance are known, the corresponding first thermal gain parameter can be directly obtained by substituting the second air conditioning thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the second room temperature change rate, the second indoor temperature and the second outdoor temperature into the building thermal characteristic model shown in formula (5).

[0103] S306: Determine the first thermal gain parameter as the target thermal gain parameter.

[0104] In this embodiment, by determining the accurate target effective heat capacity and target equivalent heat, and then solving for the target thermal gain parameters while the target room is occupied, the accuracy of the target thermal gain parameters can be effectively improved.

[0105] In this embodiment, based on the above-described process for determining building thermal characteristic parameters, the air conditioner can automatically identify these parameters after installation. Users do not need to manually input complex building information, greatly improving the product's adaptability and intelligence. Simultaneously, by adopting a phased learning strategy of "first unmanned, then manned," the system can cleverly identify building thermal characteristic parameters. Specifically, it solves for the target effective heat capacity and target equivalent thermal resistance in an unmanned state, avoiding interference from the highly variable target thermal gain parameter. This ensures the accuracy of the measurement of the target effective heat capacity and target equivalent thermal resistance as inherent building properties. Based on this, the target thermal gain parameter is then solved in a manned state, making the estimation of internal heat sources more accurate, thereby ensuring the accuracy and robustness of parameter learning.

[0106] In this embodiment, considering that the first thermal gain parameter calculated from only one measured data may have certain errors, in order to further improve the accuracy of the first thermal gain parameter, after determining the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance, the method further includes: when the target room is occupied, repeatedly executing the step of controlling the air conditioner to operate at the fourth operating power, and obtaining the sixth room temperature change rate, sixth indoor temperature, sixth outdoor temperature and fourth air conditioner thermal power parameter corresponding to the first preset time period of the target room; based on the fourth air conditioner thermal power parameter, target effective heat capacity, target equivalent thermal resistance, sixth room temperature change rate, sixth indoor temperature and sixth outdoor temperature and the building thermal characteristic model, solving for the second thermal gain parameter, until the number of second thermal gain parameters reaches the four quantity thresholds; based on multiple second thermal gain parameters, correcting the first thermal gain parameter to obtain the target thermal gain parameter.

[0107] In this embodiment, the fourth air conditioning thermal power parameter can be calculated based on the fourth operating power or compressor frequency. The calculation process for this fourth air conditioning thermal power parameter can refer to the calculation process for the first air conditioning thermal power parameter, and will not be repeated here.

[0108] In this embodiment, the step of modifying the first thermal gain parameter based on multiple second thermal gain parameters to obtain the target thermal gain parameter may specifically include: determining the average value of the first thermal gain parameter and multiple second thermal gain parameters as the target thermal gain parameter; or, determining the weighted average value of the first thermal gain parameter and multiple second thermal gain parameters as the target thermal gain parameter.

[0109] In this embodiment, by repeatedly solving for the second thermal gain parameter while the target room is occupied, and correcting the initial first thermal gain parameter, a more accurate target thermal gain parameter can be obtained. This effectively eliminates random errors that may exist in a single or a few measurements, greatly improving the measurement accuracy and reliability of the target thermal gain parameter in the building's thermal characteristic parameters.

[0110] To facilitate better implementation of the air conditioning control method of this application, this application also provides an air conditioning control device based on the above-described air conditioning control method. The meanings of the terms used are the same as in the above-described air conditioning control method, and specific implementation details can be found in the descriptions of the method embodiments.

[0111] Based on the same inventive concept, and referring to Figure 4 This application provides an air conditioning control device 400, which includes: Data acquisition module 401 is used to acquire building thermal characteristic parameters and environmental information of the target room; The parameter determination module 402 is used to obtain target control parameters based on building thermal characteristic parameters, environmental information, and a preset target processing model; the target processing model represents the functional relationship between building thermal characteristic parameters, environmental information, and target control parameters. The air conditioning control module 403 is used to control the operation of the air conditioner based on target control parameters.

[0112] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room; the environmental information includes the current indoor temperature, current outdoor temperature, and current room temperature change rate; and the target control parameters include the target compressor frequency and the target valve opening. The parameter determination module 402 includes: The model determination submodule is used to input building thermal characteristic parameters and environmental information into the target processing model to obtain the control parameter model; the control parameter model represents the functional relationship between compressor frequency and valve opening. The parameter combination determination submodule is used to determine multiple control parameter combinations based on the control parameter model; the control parameter combinations include compressor frequency and valve opening degree. The target parameter determination submodule is used to determine the target parameter combination from multiple parameter combinations, including the target compressor frequency and the target valve opening.

[0113] In one embodiment, the target parameter determination submodule includes: An energy consumption determination unit is used to determine the total energy consumption corresponding to each combination of multiple parameters. The target parameter determination unit is used to determine the parameter combination that minimizes total energy consumption as the target parameter combination.

[0114] In one embodiment, the building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room, and the air conditioning control device 400 further includes: The first parameter acquisition module is used to control the air conditioner to operate at the first operating power when the target room is unoccupied, and to acquire the first room temperature change rate, first indoor temperature, first outdoor temperature and first air conditioner thermal power parameters of the target room in two time periods respectively. The first parameter solving module is used to determine the heat gain parameter as the target value, and based on the target value, the first air conditioning heat power parameter, the first room temperature change rate, the first indoor temperature, the first outdoor temperature, and the building thermal characteristic model, to solve for the first effective heat capacity and the first equivalent thermal resistance; the building thermal characteristic model represents the functional relationship between the effective heat capacity, equivalent thermal resistance, heat gain parameter, room temperature change rate, air conditioning heat power parameter, indoor temperature, and outdoor temperature; The first parameter determination module is used to determine the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance. The second parameter acquisition module is used to control the air conditioner to operate at the second operating power when the target room is occupied, and to acquire the second room temperature change rate, second indoor temperature, second outdoor temperature and second air conditioner thermal power parameters of the target room corresponding to the first preset time period. The second parameter solving module is used to solve for the first thermal gain parameter based on the second air conditioning thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the second room temperature change rate, the second indoor temperature, the second outdoor temperature, and the building thermal characteristic model. The second parameter determination module is used to determine the first thermal gain parameter as the target thermal gain parameter.

[0115] In one embodiment, the air conditioning control device 400 further includes: The first repetitive solution module is used to repeatedly execute the steps of controlling the air conditioner to run at the third operating power when the target room is unoccupied, and to obtain the third room temperature change rate, third indoor temperature, third outdoor temperature and third air conditioner thermal power parameters for the target room in two time periods respectively; to determine the thermal gain parameter as the target value, and to solve for the second effective heat capacity and the second equivalent thermal resistance based on the target value, the third air conditioner thermal power parameters, the third room temperature change rate, the third indoor temperature and the third outdoor temperature and the building thermal characteristic model, so that the number of the second effective heat capacity and the second equivalent thermal resistance both reach the first quantity threshold. The first parameter correction module is used to correct the first effective heat capacity based on multiple second effective heat capacities to obtain a third effective heat capacity; and to correct the first equivalent thermal resistance based on multiple second equivalent thermal resistances to obtain a third equivalent thermal resistance. The third parameter determination module is used to determine the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance.

[0116] In one embodiment, the air conditioning control device 400 further includes: The second repetitive solution module is used to repeatedly execute the steps of obtaining the fourth room temperature change rate, the fourth indoor temperature, and the fourth outdoor temperature of the target room during the target time when the air conditioner is off and the target room is unoccupied, and to solve for the fourth effective heat capacity based on the third equivalent thermal resistance, the fourth room temperature change rate, the fourth indoor temperature, the fourth outdoor temperature, and the simplified building thermal characteristic model, until the number of fourth effective heat capacities reaches the second quantity threshold; the simplified building thermal characteristic model represents the functional relationship between effective heat capacity, equivalent thermal resistance, room temperature change rate, indoor temperature, and outdoor temperature; The second parameter correction module is used to correct the third effective heat capacity based on multiple fourth effective heat capacities to obtain the target effective heat capacity; The third repetitive solution module is used to repeatedly execute the steps of obtaining the fifth room temperature change rate, the fifth indoor temperature and the fifth outdoor temperature of the target room during the target time when the air conditioner is off and the target room is unoccupied, and to solve for the fourth equivalent thermal resistance based on the target effective heat capacity, the fifth room temperature change rate, the fifth indoor temperature, the fifth outdoor temperature and the simplified model of building thermal characteristics, until the number of fourth equivalent thermal resistances reaches the third quantity threshold. The third parameter correction module is used to correct the third equivalent thermal resistance based on multiple fourth equivalent thermal resistances to obtain the target equivalent thermal resistance.

[0117] In one embodiment, the air conditioning control device 400 further includes: The fourth repetitive solution module is used to repeatedly execute the following steps when the target room is occupied: control the air conditioner to run at the fourth operating power, and obtain the sixth room temperature change rate, sixth indoor temperature, sixth outdoor temperature and fourth air conditioner thermal power parameters corresponding to the first preset time period of the target room; based on the fourth air conditioner thermal power parameters, target effective heat capacity, target equivalent thermal resistance, sixth room temperature change rate, sixth indoor temperature and sixth outdoor temperature and building thermal characteristic model, solve for the second thermal gain parameters until the number of second thermal gain parameters reaches the fourth quantity threshold. The fourth parameter correction module is used to correct the first thermal gain parameter based on multiple second thermal gain parameters to obtain the target thermal gain parameter.

[0118] By employing the technical solution of this application embodiment, and acquiring the building thermal characteristic parameters and environmental information of the target room, target control parameters can be obtained based on the building thermal characteristic parameters, environmental information, and a preset target processing model. Furthermore, the air conditioning operation can be controlled based on these target control parameters. Thus, by comprehensively considering the building thermal characteristic parameters and environmental information, the air conditioning can be quickly matched with appropriate target control parameters using a pre-built target processing model. This significantly improves the control accuracy of the air conditioning under different building characteristics and environmental conditions, greatly enhancing energy efficiency and user experience.

[0119] Specific limitations regarding the air conditioning control device 400 can be found in the limitations of the air conditioning control method described above, and will not be repeated here. Each module in the aforementioned air conditioning control device 400 can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0120] In addition, this application also provides an electronic device, such as Figure 5 As shown, it illustrates the structural diagram of the electronic device involved in this application, specifically: The electronic device may include components such as a processor 501 with one or more processing cores and a memory 502 with one or more computer-readable storage media. Those skilled in the art will understand that... Figure 5 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 501 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 502, and by calling data stored in the memory 502, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 501 may include one or more processing cores; preferably, the processor 501 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 501.

[0121] The memory 502 can be used to store software programs and modules. The processor 501 executes various functional applications and data processing by running the software programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 501 with access to the memory 502.

[0122] In one feasible implementation, the electronic device further includes a power supply 503 that supplies power to the various components. Preferably, the power supply 503 can be logically connected to the processor 501 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 503 may also include one or more DC or AC power supplies, recharging systems, power equipment debugging circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0123] In one feasible implementation, the electronic device may further include an input unit 504, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0124] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 501 in the electronic device loads the executable files corresponding to the processes of one or more application programs into the memory 502 according to the following instructions, and the processor 501 runs the application programs stored in the memory 502, thereby implementing the steps in any of the air conditioning control methods provided in the embodiments of this application.

[0125] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0126] In one feasible implementation, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the methods described in any embodiment of this application.

[0127] In one feasible implementation, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the methods described in any embodiment of this application.

[0128] In one feasible implementation, a computer program product is also proposed, comprising a computer program or instructions that, when executed by a processor, implement the methods described in any embodiment of this application.

[0129] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0130] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0131] Therefore, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor to execute the steps of any of the air conditioning control methods provided in this application.

[0132] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0133] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0134] Since the instructions stored in the computer-readable storage medium can execute the steps of any of the air conditioning control methods provided in this application, the beneficial effects that any of the air conditioning control methods provided in this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0135] 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.

[0136] The above provides a detailed description of an air conditioning control method, apparatus, electronic device, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that 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 conditioning control method, characterized in that, The method includes: Obtain the building thermal characteristics parameters and environmental information of the target room; Based on the building thermal characteristic parameters, the environmental information, and the preset target processing model, target control parameters are obtained; the target processing model characterizes the functional relationship between the building thermal characteristic parameters, the environmental information, and the target control parameters. The air conditioner is controlled based on the target control parameters.

2. The air conditioning control method according to claim 1, characterized in that, The building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room; the environmental information includes the current indoor temperature, current outdoor temperature, and current room temperature change rate; and the target control parameters include the target compressor frequency and target valve opening. The target control parameters are obtained based on the building thermal characteristic parameters, the environmental information, and the preset target processing model, including: Substituting the building thermal characteristic parameters and the environmental information into the target processing model, a control parameter model is obtained; the control parameter model characterizes the functional relationship between compressor frequency and valve opening. Based on the control parameter model, multiple combinations of control parameters are determined; the combinations of control parameters include the compressor frequency and the valve opening degree. A target parameter combination is determined from among a plurality of parameter combinations, the target parameter combination including the target compressor frequency and the target valve opening.

3. The air conditioning control method according to claim 2, characterized in that, Determining the target parameter combination from among the multiple parameter combinations includes: Determine the total energy consumption corresponding to each of the multiple parameter combinations; The parameter combination that minimizes the total energy consumption is determined as the target parameter combination.

4. The air conditioning control method according to claim 1, characterized in that, The building thermal characteristic parameters include the target effective heat capacity, target equivalent thermal resistance, and target thermal gain parameters of the target room. These building thermal characteristic parameters are determined based on the following methods: When the target room is unoccupied, the air conditioner is controlled to operate at the first operating power, and the first room temperature change rate, first indoor temperature, first outdoor temperature and first air conditioner thermal power parameters of the target room are obtained for the two time periods respectively. The thermal gain parameter is determined as the target value, and based on the target value, the first air conditioning thermal power parameter, the first room temperature change rate, the first indoor temperature, the first outdoor temperature and the building thermal characteristic model, the first effective heat capacity and the first equivalent thermal resistance are solved. The building thermal characteristic model represents the functional relationship between effective heat capacity, equivalent thermal resistance, thermal gain parameter, room temperature change rate, air conditioning thermal power parameter, indoor temperature and outdoor temperature. The first effective heat capacity is determined as the target effective heat capacity, and the first equivalent thermal resistance is determined as the target equivalent thermal resistance; When the target room is occupied, the air conditioner is controlled to operate at the second operating power, and the second room temperature change rate, second indoor temperature, second outdoor temperature and second air conditioner thermal power parameters of the target room are obtained at the first preset time. Based on the second air conditioning thermal power parameter, the target effective heat capacity, the target equivalent thermal resistance, the second room temperature change rate, the second indoor temperature and the second outdoor temperature, and the building thermal characteristic model, the first thermal gain parameter is obtained by solving. The first thermal gain parameter is determined as the target thermal gain parameter.

5. The air conditioning control method according to claim 4, characterized in that, After determining the first effective heat capacity as the target effective heat capacity and the first equivalent thermal resistance as the target equivalent thermal resistance, the method further includes: When the target room is unoccupied, the process of controlling the air conditioner to operate at the third operating power is repeated, and the third room temperature change rate, third indoor temperature, third outdoor temperature, and third air conditioner thermal power parameters of the target room are obtained for each of the two time periods. The thermal gain parameter is determined as the target value, and based on the target value, the third air conditioner thermal power parameters, the third room temperature change rate, the third indoor temperature, the third outdoor temperature, and the building thermal characteristic model, the steps of solving for the second effective heat capacity and the second equivalent thermal resistance are obtained, and the quantities of the second effective heat capacity and the second equivalent thermal resistance both reach the first quantity threshold. Based on multiple second effective heat capacities, the first effective heat capacity is modified to obtain a third effective heat capacity; based on multiple second equivalent thermal resistances, the first equivalent thermal resistance is modified to obtain a third equivalent thermal resistance. The third effective heat capacity is determined as the target effective heat capacity, and the third equivalent thermal resistance is determined as the target equivalent thermal resistance.

6. The air conditioning control method according to claim 5, characterized in that, After determining the third effective heat capacity as the target effective heat capacity and the third equivalent thermal resistance as the target equivalent thermal resistance, the method further includes: During the target time period when the air conditioner is off and the target room is unoccupied, the process of obtaining the fourth room temperature change rate, the fourth indoor temperature, and the fourth outdoor temperature of the target room is repeated. Based on the third equivalent thermal resistance, the fourth room temperature change rate, the fourth indoor temperature, the fourth outdoor temperature, and the simplified building thermal characteristic model, the fourth effective heat capacity is calculated until the number of fourth effective heat capacities reaches the second quantity threshold. The simplified building thermal characteristic model represents the functional relationship between effective heat capacity, equivalent thermal resistance, room temperature change rate, indoor temperature, and outdoor temperature. The third effective heat capacity is modified based on multiple fourth effective heat capacities to obtain the target effective heat capacity; During the target time period when the air conditioner is off and the target room is unoccupied, the steps of obtaining the fifth room temperature change rate, the fifth indoor temperature and the fifth outdoor temperature of the target room are repeated, and the fourth equivalent thermal resistance is obtained based on the target effective heat capacity, the fifth room temperature change rate, the fifth indoor temperature, the fifth outdoor temperature and the simplified model of building thermal characteristics, until the number of fourth equivalent thermal resistances reaches the third quantity threshold. Based on multiple fourth equivalent thermal resistances, the third equivalent thermal resistance is modified to obtain the target equivalent thermal resistance.

7. The air conditioning control method according to claim 4, characterized in that, After determining the first thermal gain parameter as the target thermal gain parameter, the method further includes: When the target room is occupied, the process of controlling the air conditioner to operate at the fourth operating power is repeated, and the sixth room temperature change rate, sixth indoor temperature, sixth outdoor temperature, and fourth air conditioner thermal power parameters of the target room are obtained at the first preset time. Based on the fourth air conditioner thermal power parameters, the target effective heat capacity, the target equivalent thermal resistance, the sixth room temperature change rate, the sixth indoor temperature, the sixth outdoor temperature, and the building thermal characteristic model, the second thermal gain parameter is obtained, until the number of the second thermal gain parameters reaches the four quantity thresholds. The first thermal gain parameter is modified based on multiple second thermal gain parameters to obtain the target thermal gain parameter.

8. An air conditioning control device, characterized in that, The device includes: The data acquisition module is used to acquire the building thermal characteristics parameters and environmental information of the target room; The parameter determination module is used to obtain target control parameters based on the building thermal characteristic parameters, the environmental information, and a preset target processing model; the target processing model represents the functional relationship between the building thermal characteristic parameters, the environmental information, and the target control parameters. An air conditioning control module is used to control the operation of the air conditioner based on the target control parameters.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the air conditioning control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the air conditioning control method as described in any one of claims 1 to 7.

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