Air conditioner control method and device, air conditioner and storage medium

By obtaining the current status of the air conditioner, building a potential state combination, calculating comfort, and determining the target state, the problems of partial control and control curing in existing air conditioner comfort control technologies are solved, and more accurate comfort adjustment and the application of dynamic control strategies are achieved.

CN119509009APending Publication Date: 2025-02-25GD MIDEA AIR CONDITIONING EQUIP CO LTD
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Patent Information

Application Number
CN202311086701.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-08-25
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

The existing air conditioner comfort control technology has problems such as control and curing, and cannot accurately adjust the comfort level, and lacks information on using user behavioral habits and environmental conditions.

Method used

By obtaining the current state of the air conditioner, determining the current comfort level, and building a potential state combination, calculating the comfort level corresponding to each potential state, and finally determining the target state based on the current comfort level and the comfort level of the latent state, adjusting the operating parameters of the air conditioner to achieve the target state.

Benefits of technology

It realizes more accurate adjustment of indoor comfort, avoids the problems of biased control and control curing, and can dynamically adjust control strategies according to users' behavioral habits and environmental conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides an air conditioner control method and device, an air conditioner and a storage medium. The air conditioner control method comprises the steps that the current state of the air conditioner is obtained; determining a current comfort level according to the current state; constructing a potential state combination based on the current state; determining comfort corresponding to each potential state according to the potential state combination; and determining a target state according to the current comfort level and the comfort level corresponding to each potential state, and operating according to the operating parameters corresponding to the target state. According to the method, the current comfort level and the comfort level corresponding to each potential state in the potential state combination are determined according to the current state of the air conditioner, so that the air conditioner is controlled according to the comfort levels of the potential states and the current comfort level, and the indoor comfort level is adjusted more accurately.
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Description

Technical Field

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

[0002] At present, the following technologies are mainly used in air conditioning comfort control: 1. Temperature control technology: By controlling the cooling or heating capacity of the air conditioner, the indoor temperature reaches the temperature value set by the user within the time range expected by the user, and the temperature can be maintained stable without overcooling or overheating. 2. Humidity control technology: By controlling the humidification or dehumidification capacity of the air conditioner, the indoor humidity is kept within the comfortable range set by the user. At present, in the actual control of air conditioners, humidity control is generally coupled with temperature control, and humidity is reduced by cooling. 3. Air flow rate control technology: By controlling the opening and closing degree of the air supply outlet of the air conditioner, the air supply direction and other parameters, the indoor air flow rate is adjusted to achieve the comfort level expected by the user. The common windless technology belongs to this category. 4. Air quality control technology: Improve the indoor air quality and reduce harmful substances in the air through technical means such as air filtration, negative ion generation, and UV sterilization. Common functions such as natural wind and air conditioning purification belong to this category.

[0003] The existing air conditioning comfort control technology has two major defects: biased control and control solidification. Biased control is reflected in: temperature control technology mainly affects the comfortable temperature level, humidity control technology mainly affects the comfortable humidity level, and wind control technology and air quality control also act on the comfortable wind and health dimensions respectively. Even if some combination technologies combine the centralized control technologies to perform multi-dimensional joint control, there is still a problem of control priority, and it cannot be truly comprehensively controlled according to the complete comfort standard. This is mainly due to the lack of practical quantitative standards for air conditioning comfort measurement (for example, traditional comfort measurement indicators such as PMV or SET require expensive experimental air conditioners or professional instruments to achieve). Control solidification means that the air conditioner uses the same set of control logic regardless of the air conditioner, location, user, or time. This is mainly because the current air conditioning control logic is mostly derived from expert experience and experimental simulation, and the exclusive information such as the behavior habits of air conditioning users, the environmental conditions of air conditioning operation, and the reported data during air conditioning operation is not fully utilized.

[0004] Thus, the control logic of comfort level in the prior art cannot accurately control the operating parameters of the air conditioner, resulting in the air conditioner being unable to accurately adjust the comfort level. Summary of the invention

[0005] The main purpose of the present invention is to provide an air conditioner control method, device, air conditioner and storage medium, aiming to solve the technical problem that the comfort level cannot be accurately adjusted in the prior art.

[0006] To achieve the above object, the present invention provides an air conditioner control method, the air conditioner control method comprising the following steps:

[0007] Get the current status of the air conditioner;

[0008] determining a current comfort level according to the current state;

[0009] Construct potential state combinations based on the current state;

[0010] Determining the comfort level corresponding to each potential state according to the potential state combination; and

[0011] The target state is determined according to the current comfort level and the comfort level corresponding to each potential state, and the operation is performed according to the operation parameters corresponding to the target state.

[0012] Optionally, determining the target state according to the current comfort level and the comfort level corresponding to each potential state includes:

[0013] Determine the comfort variation range of each potential state according to the current comfort level and the comfort level corresponding to each potential state;

[0014] When the comfortable variation range includes a positive comfortable variation range, determining the marginal benefits corresponding to each positive comfortable variation range; and

[0015] The target state is determined according to the marginal benefits corresponding to each of the positive comfort variation ranges.

[0016] Optionally, after determining the comfort variation range of each potential state according to the current comfort level and the comfort level corresponding to each potential state, the method further comprises:

[0017] When the comfort variation range does not include a positive comfort variation range, the air conditioner is controlled to operate according to the current state.

[0018] Optionally, when the comfortable variation range includes a positive comfortable variation range, determining the marginal benefits corresponding to each positive comfortable variation range includes:

[0019] When the comfortable variation range includes a positive comfortable variation range, determining the state variation range corresponding to each positive comfortable variation range;

[0020] Constructing a comprehensive state change index according to the state change amplitude; and

[0021] The marginal benefits corresponding to each of the positive comfort variation ranges are determined according to the comfort variation range and the comprehensive state variation index.

[0022] Optionally, determining the target state according to the marginal benefits corresponding to each of the positive comfort variation ranges includes:

[0023] Selecting the maximum marginal benefit from each of the positive comfortable change ranges; and

[0024] The potential state corresponding to the maximum marginal benefit is taken as the target state.

[0025] Optionally, after selecting the maximum marginal benefit from each of the positive comfortable variation ranges, the method further includes:

[0026] comparing the maximum marginal benefit with a preset benefit threshold; and

[0027] When the maximum marginal benefit is greater than a preset benefit threshold, the potential state corresponding to the maximum marginal benefit is used as the target state, otherwise the current state is used as the target state.

[0028] Optionally, determining the current comfort level according to the current state includes:

[0029] Inputting the current state into a comfort measurement model to determine the current comfort level, wherein the comfort measurement model is used to determine the quantified comfort level according to the state of the air conditioner;

[0030] Accordingly, determining the comfort level corresponding to each potential state according to the potential state combination includes:

[0031] Each potential state in the potential state combination is input into a comfort metric model to determine a current comfort level.

[0032] In addition, to achieve the above object, the present invention also provides an air conditioner control device, the air conditioner control device comprising:

[0033] A status acquisition module is used to obtain the current status of the air conditioner;

[0034] A comfort level determination module, used to determine a current comfort level according to the current state;

[0035] A state building module, used to build potential state combinations based on the current state;

[0036] The comfort level determination module is further configured to determine the comfort level corresponding to each potential state according to the potential state combination; and

[0037] The air conditioner control module is used to determine a target state according to the current comfort level and the comfort level corresponding to each potential state, and operate according to the operating parameters corresponding to the target state.

[0038] In addition, to achieve the above-mentioned purpose, the present invention also proposes an air conditioner, which includes: a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, and the air conditioner control method is implemented when the air conditioner control program is executed by the processor.

[0039] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which an air conditioner control program is stored, and when the air conditioner control program is executed by a processor, the air conditioner control method is implemented.

[0040] The present invention provides an air conditioner control method, device, air conditioner and storage medium. The air conditioner control method obtains the current state of the air conditioner; determines the current comfort level according to the current state; constructs a potential state combination based on the current state; determines the comfort level corresponding to each potential state according to the potential state combination; determines the target state according to the current comfort level and the comfort level corresponding to each potential state, and operates according to the operating parameters corresponding to the target state. In the present invention, the current comfort level and the comfort level corresponding to each potential state in the potential state combination are determined according to the current state of the air conditioner, so that the air conditioner is controlled according to the comfort level of the potential state and the current comfort level, so as to more accurately adjust the indoor comfort level. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural diagram of an air conditioner controlling an air conditioner in a hardware operating environment involved in an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of a flow chart of a first embodiment of an air conditioner control method of the present invention;

[0043] Figure 3 A schematic diagram of a flow chart of a second embodiment of an air conditioner control method of the present invention;

[0044] Figure 4 Schematic diagram of the flow of step S502 in the second embodiment of the air conditioner control method of the present invention;

[0045] Figure 5 It is a flowchart of step S503 in the second embodiment of the air conditioner control method of the present invention;

[0046] Figure 6 A schematic flow chart of a third embodiment of an air conditioner control method according to the present invention;

[0047] Figure 7FIG. 1 is a structural block diagram of a first embodiment of an air conditioner control device according to the present invention.

[0048] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0050] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the air conditioner structure of the hardware operating environment involved in the embodiment of the present invention.

[0051] like Figure 1 As shown, the air conditioner may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), and the user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable memory (Non-volatile Memory, NVM), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the air conditioner controlling the air conditioner, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0053] like Figure 1 As shown, the memory 1005 identified as a certain machine storage medium may include an operating system, a network communication module, a user interface module and an air conditioner control program.

[0054] exist Figure 1In the air conditioner control air conditioner shown, the network interface 1004 is mainly used to connect to the background server and communicate data with the background server; the user interface 1003 is mainly used to connect the user air conditioner; the air conditioner control air conditioner calls the air conditioner control program stored in the memory 1005 through the processor 1001, and executes the air conditioner control method provided by the embodiment of the present invention.

[0055] Based on the above hardware structure, an embodiment of the air conditioner control method of the present invention is proposed.

[0056] Reference Figure 2 , Figure 2 The flowchart of the first embodiment of the air conditioner control method of the present invention is provided.

[0057] In a first embodiment, the air conditioner control method comprises the following steps:

[0058] Step S10: Acquire the current state of the air conditioner.

[0059] It should be understood that the execution subject of this embodiment may be the air conditioner or the central controller of the air conditioner. In this embodiment, the central controller of the air conditioner may be taken as an example for description.

[0060] It should be noted that the current state of the air conditioner refers to the operating state of the air conditioner at the current moment. The current state of the air conditioner is mainly controlled by information such as the environment and working conditions of the air conditioner and the user's behavior and operation. The current state can be determined based on the reported data when the air conditioner is turned on. The reported data includes but is not limited to the current environmental information, the working condition information of the compressor and fan in the air conditioner, and the user's behavior information on the air conditioner. For example, when the compressor is not turned on but the fan speed is high, it can be considered that the air conditioner is in a ventilation state; for example, the cooling state to cool down the indoor environment.

[0061] Step S20: Determine the current comfort level according to the current state.

[0062] It can be understood that the comfort level is the comfort level of the user in the environment. For example, in a space with too high or too low temperature, the user's comfort level is very low; while in an environment with moderate temperature, the user's comfort level is relatively high. The comfort level is related to factors such as the temperature, humidity, and concentration of various gases in the user's environment. The air conditioner can adjust the indoor environmental factors, so the air conditioner can adjust the user's comfort level. In this embodiment, the comfort level can be expressed using a specific quantitative value. For example, when the indoor temperature is 30 degrees Celsius and the speed of the air conditioner's internal fan is 80 rpm, the comfort level in this state can be 0.1; when the indoor temperature is 25 degrees Celsius and the speed of the air conditioner's internal fan is 80 rpm, the indoor temperature is more comfortable for the user, and at this time, the comfort level in this state can be 1. Although different users have certain differences in comfort level, the comfort level is mainly determined by the state of the air conditioner.

[0063] The current comfort level refers to the comfort level of the user in the current environment. When the current state of the air conditioner is determined, the current comfort level of the user can be evaluated based on parameters such as the operating conditions and environmental information of the air conditioner in the current state, thereby determining the current comfort level of the user in the current state.

[0064] Step S30: construct a potential state combination based on the current state.

[0065] It is understandable that, in the process of adjusting the comfort level by the air conditioner, the air conditioner usually adjusts the comfort level mainly based on the working state at the current moment, and then increases the comfort level at the next moment. However, in the process of adjusting the air conditioner, there may be multiple potential states at the next moment. The potential state is the state that can be obtained after the air conditioner is adjusted within a cycle. For example, if the current state is 25 degrees Celsius, the potential state at the next moment may be 25.1 degrees Celsius, 25.2 degrees Celsius, or 24.8 degrees Celsius, 24.6 degrees Celsius, etc.

[0066] It should be noted that the potential state combination is a set of all potential states that may exist at the next moment. The number of the potential state combinations is related to the regulating capability of the air conditioner. The stronger the regulating capability of the air conditioner, the greater the number of potential state combinations.

[0067] In a specific implementation, each parameter in the current state of the air conditioner can be arrayed and calculated to construct a potential state combination. For example, an array combination is constructed based on the indoor temperature and the internal fan speed. When the current temperature is 30 degrees Celsius, the temperature combination can be (29.9, 30, 30.1). When the current fan speed is 80 rpm, the fan speed combination can be (79, 80, 81). Then the potential state is (S1 = (29.9, 79), S2 = (29.9, 80), S3 = (29.9, 81), S4 = (30, 79), S5 = (30, 81), S6 = (30.1, 79), S7 = (30.1, 80), S8 = (30.1, 81)).

[0068] Step S40: Determine the comfort level corresponding to each potential state according to the potential state combination.

[0069] It should be understood that, according to the discussion of step S20 above, the output degree is related to the state of the air conditioner. When the potential state combination is determined, the user's comfort can be directly evaluated based on parameters such as the operating conditions, environmental information, etc. of each state in the potential state combination.

[0070] Step S50: determining a target state according to the current comfort level and the comfort level corresponding to each potential state, and operating according to the operating parameters corresponding to the target state.

[0071] It should be understood that the target state is the state of the air conditioner that improves the user's comfort in the current environment. The comfort value of the target state should be greater than or equal to the comfort value of the current state. For example, if the current state of the air conditioner is in the best comfort state, then the comfort corresponding to various potential states is less than the current comfort value, and it is best to keep the current state. Of course, if the comfort value corresponding to the potential state is greater than the current comfort value, the target state should be the potential state.

[0072] In a specific implementation, the current comfort level can be directly compared with the comfort level corresponding to each potential state. If the comfort level corresponding to a potential state is greater than the current comfort level, the potential state can be identified as the target state of the air conditioner, and then the air conditioner can be controlled to operate according to the operating parameters corresponding to the target state, thereby improving the user's comfort level.

[0073] In the first embodiment, the air conditioner control method obtains the current state of the air conditioner; determines the current comfort level according to the current state; constructs a potential state combination based on the current state; determines the comfort level corresponding to each potential state according to the potential state combination; determines the target state according to the current comfort level and the comfort level corresponding to each potential state, and operates according to the operating parameters corresponding to the target state. In the present invention, the current comfort level and the comfort level corresponding to each potential state in the potential state combination are determined according to the current state of the air conditioner, so that the air conditioner is controlled according to the comfort level of the potential state and the current comfort level, so as to more accurately adjust the indoor comfort level.

[0074] Reference Figure 3 , Figure 3 This is a flow chart of a second embodiment of the air conditioner control method of the present invention. Figure 2 The first embodiment shown is a second embodiment of the air conditioner control method of the present invention.

[0075] In the second embodiment, the step S50 further includes:

[0076] Step S501: Determine the comfort variation range of each potential state according to the current comfort level and the comfort level corresponding to each potential state.

[0077] It should be understood that the comfort change amplitude refers to the difference between the comfort level at the current moment and the comfort level at the next moment. The comfort change amplitude is a vector, which includes not only the specific value of the comfort change, but also the direction of the comfort change. When the direction of the comfort change is positive, the user's comfort will be improved from the current moment to the next moment; similarly, when the direction of the comfort change is negative, the user's comfort will be reduced from the current moment to the next moment. For example, when the air conditioner is just started, the air conditioner will continuously adjust at least one of the indoor temperature, humidity, other concentrations and other conditions, and the user's comfort will continue to improve over a period of time; and when the air conditioner is turned off, the user's comfort will continue to decrease over time.

[0078] In a specific implementation, when the current comfort level at the current moment and the corresponding comfort level of the potential state at the next moment have been determined, the comfort variation range of each potential state can be directly calculated using the current comfort level as the subtrahend and the comfort levels of various potential states as the minuends. For example, if the comfort level at the current moment is 0.1 and the comfort level of one potential state is 0.2, the comfort variation range corresponding to the potential state is a positive 0.1.

[0079] Similarly, in the case where the current temperature is 30 degrees Celsius and the current fan speed is 80 rpm, the potential state combination specifically includes all potential state combinations (S1=(29.9, 79), S2=(29.9, 80), S3=(29.9, 81), S4=(30, 79), S5=(30, 81), S6=(30.1, 79), S7=(30.1, 80), S8=(30.1, 81)); calculate each The comfort level under the state combination is (U1=0.2, U2=0.25, U3=0.3, U4=0.09, U5=0.11, U6=0.01, U7=0.03, U8=0.05); the comfort variation range corresponding to each potential state is (ΔU1=0.1, ΔU2=0.15, ΔU3=0.2, ΔU4=-0.01, ΔU5=0.01, ΔU6=-0.09, ΔU7=-0.07, ΔU8=-0.05).

[0080] Step S502: when the comfortable variation range includes a positive comfortable variation range, determining the marginal benefits corresponding to each positive comfortable variation range.

[0081] It should be understood that the positive comfort change amplitude refers to the direction of the comfort change from the current moment to the next moment is positive. Of course, the comfort change amplitude also includes a negative comfort change amplitude, which means that the direction of the comfort change from the current moment to the next moment is negative. When the comfort change amplitude includes a positive comfort change amplitude, it indicates that there is a potential state that can improve the user's comfort at the next moment. If there is no positive comfort change amplitude, it indicates that the current comfort corresponding to the current state is the user's optimal comfort.

[0082] It should be noted that marginal revenue usually refers to the revenue increased by increasing the sales of one unit of product, that is, the revenue obtained by selling the last unit of product. In this embodiment, marginal revenue refers to the comfort revenue obtained by adjusting the unit operating parameters of the air conditioner at the last moment. This marginal revenue can directly reflect the user's final comfort revenue. For example, when the current temperature is 30 degrees Celsius and the current fan speed is 80 rpm, the potential state includes a temperature change with a step length of 0.1 degrees Celsius and a speed change with a step length of 1 rpm. Within a certain range, in the potential state, the marginal revenue is relatively high for every 0.1 degree Celsius decrease in temperature and every 1 rpm increase in speed; while in the potential state, the marginal revenue is relatively low for every 0.1 degree Celsius increase in temperature and every 1 rpm increase in speed.

[0083] In a specific implementation, when each positive comfort variation range is determined, the marginal benefit of each potential state, that is, the marginal benefit corresponding to the positive comfort variation range, can be obtained by calculating the operating parameters in each potential state and the operating parameters in the current state.

[0084] Step S503: determining the target state according to the marginal benefits corresponding to each of the positive comfort variation ranges.

[0085] It can be understood that, when the marginal benefits of the potential state corresponding to each positive comfort change amplitude are determined, the potential state that meets the user's final comfort requirements can be directly selected as the target state based on the marginal benefits, and then the current operating parameters of the air conditioner can be adjusted to the operating parameters corresponding to the target state, thereby further improving user comfort.

[0086] Step S504: When the comfort variation range does not include the positive comfort variation range, controlling the air conditioner to operate according to the current state.

[0087] Of course, if there is no positive comfort change amplitude, it means that all potential states cannot further improve the user's comfort at the next moment, that is, the current comfort corresponding to the current state is the user's optimal comfort. In this case, the air conditioner runs in the current state and the user's comfort is optimal, so it is sufficient to maintain the current operating state of the air conditioner.

[0088] Reference Figure 4 , the step S502 specifically includes:

[0089] Step S5021: when the comfortable variation range includes a positive comfortable variation range, determining the state variation range corresponding to each positive comfortable variation range.

[0090] In the process of determining the marginal benefits of the potential states of each positive comfort change range, the marginal benefits are related to the comfort change range and change dimension of the potential state and the current state. The change dimension refers to the number of parameters that change between the potential state and the current state. For example, if only the temperature parameter is adjusted, the change dimension is 1, and if both the temperature and the speed of the internal fan are adjusted, the change dimension is 2, and so on.

[0091] In this embodiment, the operating parameters included in each potential state with a positive comfort variation range can be calculated with the operating parameters in the current state, so as to determine the state variation range corresponding to each positive comfort variation range. Taking the above-mentioned positive comfort variation range (ΔU1=0.1, ΔU2=0.15, ΔU3=0.2) as an example for explanation, the operating parameters included in the potential state corresponding to the positive comfort variation range (ΔU1=0.1, ΔU2=0.15, ΔU3=0.2) are S1=(29.9, 79), S2=(29.9, 80), S3=(29.9, 81), and the operating parameters in the current state are (Si=(30, 80)). At this time, the state variation ranges corresponding to the above three positive comfort variation ranges are (ΔS1=(-0.1, -1), ΔS2=(-0.1, 0), ΔS3=(-0.1, 1)).

[0092] Step S5022: constructing a comprehensive state change index according to the state change amplitude.

[0093] It should be understood that the state comprehensive change index is an index of the impact on user comfort when the air conditioner state changes. The state change index is related to the change dimension of the air conditioner. For example, if the temperature of the air conditioner changes by one unit, and the speed of the internal fan changes by one unit, the user's comfort will not change by two units, but will change according to the state comprehensive change index.

[0094] In the specific implementation process, the comprehensive state change index can be constructed by the comprehensive state change index calculation formula. The comprehensive state change index calculation formula is:

[0095] Among them, scale(S1) is the array variation amplitude of each feature in the state.

[0096] For example Similarly, I2=1, I3=1.414.

[0097] Step S5023: Determine the marginal benefits corresponding to each of the positive comfort variation ranges according to the comfort variation range and the state comprehensive variation index.

[0098] It should be understood that the marginal benefit is related to the comfort variation range of the potential state and the current state and the comprehensive variation index of the state. Of course, when the comfort variation range and the comprehensive variation index of any potential state in the potential state combination are determined, the following formula can be directly used: δ n =ΔU n / I n , calculate the marginal benefit of the potential state. For example, the marginal benefit in the above example is (δ1=0.07, δ2=0.15, δ3=0.141).

[0099] In addition, refer to Figure 5 , the step S503 specifically includes:

[0100] S5031: Select the maximum marginal benefit from each of the positive comfortable variation ranges.

[0101] It should be understood that when the marginal benefits of all potential states corresponding to the positive comfort change ranges are determined, the marginal benefits corresponding to each potential state can be compared, or the marginal benefits corresponding to each potential state can be ranked, and then the marginal benefits that meet the marginal benefit requirements can be selected.

[0102] S5032: Taking the potential state corresponding to the maximum marginal benefit as the target state.

[0103] In this embodiment, considering that the greater the marginal benefit, the greater the user's final comfort level, the potential state corresponding to the maximum marginal benefit can be used as the target state, and then the air conditioner is controlled to operate according to the parameters of the target state. For example, the marginal benefit in the above example is (δ1=0.07, δ2=0.15, δ3=0.141), where δ2=0.15 is the maximum marginal benefit. At this time, the second potential state is the target state, and the air conditioner is controlled to operate according to the array combination parameter S2=(29.9, 80).

[0104] Of course, in this embodiment, other potential states can also be selected as target states, and the marginal benefit of the target state can meet the needs of the user. For example, if the current demand is that the marginal benefit is greater than 0.1, then both the first potential state and the second potential state can be used as the target state.

[0105] S5033: Compare the maximum marginal benefit with a preset benefit threshold.

[0106] S5034: When the maximum marginal benefit is greater than a preset benefit threshold, the potential state corresponding to the maximum marginal benefit is used as the target state, otherwise the current state is used as the target state.

[0107] It should be understood that the marginal benefit in the current state or set state needs to be considered during the air conditioner adjustment process. If the maximum marginal benefit obtained from the potential state is not greater than the marginal benefit in the current state or set state, changing the operating state of the air conditioner cannot achieve the goal of improving user comfort. Therefore, when determining the maximum marginal benefit among the marginal benefits of various potential states, it is also necessary to compare the maximum marginal benefit in the potential state with the preset benefit threshold, and determine the target state of the air conditioner based on the comparison result of the two.

[0108] In a specific implementation, when the maximum marginal benefit is not greater than a preset benefit threshold, the current state of the air conditioner is taken as the target state; when the maximum marginal benefit is greater than the preset benefit threshold, the potential state corresponding to the maximum marginal benefit is taken as the target state.

[0109] In the second embodiment, by judging whether there is a positive comfort variation range, and if so, calculating the marginal benefit of each positive comfort variation range, the marginal benefit is used to more accurately control the air conditioner, thereby further improving the user's comfort experience.

[0110] Reference Figure 6 , Figure 6 1 is a flow chart of a third embodiment of an air conditioner control method according to the present invention. Based on the first embodiment or the second embodiment, the third embodiment of the air conditioner control method according to the present invention is proposed.

[0111] In the third embodiment, further, step S20 includes:

[0112] Step S20': inputting the current state into a comfort measurement model to determine the current comfort level, wherein the comfort measurement model is used to determine the quantified comfort level according to the state of the air conditioner.

[0113] It should be understood that in the process of calculating the comfort level, the comfort measurement model can also be used to directly calculate the quantitative value of the comfort level. The comfort measurement module can directly obtain the corresponding comfort level according to the parameters of the air conditioner in different states. The comfort measurement model can be pre-trained and directly called when needed.

[0114] The comfort measurement model is a model that meets the accuracy requirements after training with a large number of samples using deep learning algorithms. In the specific training process, the parameters such as the working conditions, environment and user operation behavior of the air conditioner status are used as independent variables, and the comfort level is used as the dependent variable for training. After one training is completed, the accuracy of the comfort measurement model can be tested. In the case of low accuracy, the comfort measurement model can be repeatedly trained using different sample libraries until the trained comfort measurement model meets the accuracy requirements.

[0115] In a specific implementation, the operating conditions, environmental information and other parameters of the current state may be input into a comfort measurement model, and the comfort measurement model directly analyzes and outputs the current comfort level.

[0116] Of course, the step S40 may be step S40': inputting each potential state in the potential state combination into a comfort measurement model to determine the current comfort level.

[0117] Therefore, in this embodiment, the comfort measurement model can also be directly used to directly obtain the numerical value of the comfort measurement in the current state and various potential states of the air conditioner without relying on high-precision equipment. The comfort of the air conditioner when operating in different states can be calculated based solely on the operating condition data in the air conditioner reported data and the real-time environmental data, which generalizes the scope of application of air conditioning comfort.

[0118] In addition, an embodiment of the present invention further provides a storage medium, on which an air conditioner control program is stored. When the air conditioner control program is executed by a processor, the steps of the air conditioner control method described above are implemented.

[0119] Since the storage medium can adopt the technical solutions of all the above embodiments, it at least has the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0120] In addition, refer to Figure 7 , an embodiment of the present invention further provides an air conditioner control device.

[0121] In this embodiment, the air conditioner control device includes:

[0122] A state acquisition module 10 is used to acquire the current state of the air conditioner;

[0123] A comfort level determination module 20, configured to determine a current comfort level according to the current state;

[0124] A state construction module 30, for constructing a potential state combination based on the current state;

[0125] The comfort level determination module 20 is further used to determine the comfort level corresponding to each potential state according to the potential state combination;

[0126] The air conditioner control module 40 is used to determine a target state according to the current comfort level and the comfort level corresponding to each potential state, and operate according to the operating parameters corresponding to the target state.

[0127] Other embodiments or specific implementations of the air conditioner control device of the present invention can refer to the above-mentioned method embodiments, so they at least have all the beneficial effects brought by the technical solutions of the above-mentioned embodiments, which will not be repeated here.

[0128] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0129] The serial numbers of the embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments. In a unit claim that lists several means, several of these means may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order and these words may be interpreted as names.

[0130] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the determination machine software product is stored in a storage medium (such as a read-only memory image (Read Only Memory image, ROM) / random access memory (Random Access Memory, RAM), a disk, an optical disk), and includes a number of instructions for a terminal air conditioner (which can be a mobile phone, a determination machine, a server, or a network air conditioner, etc.) to execute the methods described in each embodiment of the present invention.

[0131] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An air conditioner control method, characterized in that: The air conditioner control method includes: Get the current status of the air conditioner; determining a current comfort level according to the current state; Construct potential state combinations based on the current state; Determining the comfort level corresponding to each potential state according to the potential state combination; and The target state is determined according to the current comfort level and the comfort level corresponding to each potential state, and the operation is performed according to the operation parameters corresponding to the target state.

2. The air conditioner control method according to claim 1, characterized in that: Determining the target state according to the current comfort level and the comfort level corresponding to each potential state includes: Determine the comfort variation range of each potential state according to the current comfort level and the comfort level corresponding to each potential state; When the comfortable variation range includes a positive comfortable variation range, determining the marginal benefits corresponding to each positive comfortable variation range; and The target state is determined according to the marginal benefits corresponding to each of the positive comfort variation ranges.

3. The air conditioner control method according to claim 2, characterized in that: After determining the comfort variation range of each potential state according to the current comfort level and the comfort level corresponding to each potential state, the method further comprises: When the comfort variation range does not include a positive comfort variation range, the air conditioner is controlled to operate according to the current state.

4. The air conditioner control method according to claim 2, characterized in that: When the comfortable variation range includes a positive comfortable variation range, determining the marginal benefits corresponding to each positive comfortable variation range includes: When the comfortable variation range includes a positive comfortable variation range, determining the state variation range corresponding to each positive comfortable variation range; Constructing a comprehensive state change index according to the state change amplitude; and The marginal benefits corresponding to each of the positive comfort variation ranges are determined according to the comfort variation range and the comprehensive state variation index.

5. The air conditioner control method according to claim 2, characterized in that: The determining of the target state according to the marginal benefits corresponding to each of the positive comfort variation ranges includes: Selecting the maximum marginal benefit from each of the positive comfortable change ranges; and The potential state corresponding to the maximum marginal benefit is taken as the target state.

6. The air conditioner control method according to claim 5, characterized in that: After selecting the maximum marginal benefit from each of the positive comfortable variation ranges, the method further includes: comparing the maximum marginal benefit with a preset benefit threshold; and When the maximum marginal benefit is greater than a preset benefit threshold, the potential state corresponding to the maximum marginal benefit is used as the target state, otherwise the current state is used as the target state.

7. The air conditioner control method according to any one of claims 1 to 6, characterized in that: Determining the current comfort level according to the current state includes: Inputting the current state into a comfort measurement model to determine the current comfort level, wherein the comfort measurement model is used to determine the quantified comfort level according to the state of the air conditioner; Accordingly, determining the comfort level corresponding to each potential state according to the potential state combination includes: Each potential state in the potential state combination is input into a comfort metric model to determine a current comfort level.

8. An air conditioner control device, characterized in that: The air conditioner control device comprises: A status acquisition module is used to obtain the current status of the air conditioner; A comfort level determination module, used to determine a current comfort level according to the current state; A state building module, used to build potential state combinations based on the current state; The comfort level determination module is further configured to determine the comfort level corresponding to each potential state according to the potential state combination; and The air conditioner control module is used to determine a target state according to the current comfort level and the comfort level corresponding to each potential state, and operate according to the operating parameters corresponding to the target state.

9. An air conditioner, characterized in that: The air conditioner comprises: a memory, a processor, and an air conditioner control program stored in the memory and executable on the processor, wherein the air conditioner control program implements the air conditioner control method according to any one of claims 1 to 7 when executed by the processor.

10. A storage medium, characterized in that: The storage medium stores an air conditioner control program, and when the air conditioner control program is executed by the processor, the air conditioner control method according to any one of claims 1 to 7 is implemented.

Citation Information

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