Air conditioner control method and device, air conditioner and storage medium
Patent Information
- Application Number
- CN202210654673.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-06-10
- Publication Date
- 2026-11-03
- Estimated Expiration
- 2042-06-10
AI Technical Summary
Existing air conditioners have low efficiency in adjusting multiple parameters during the air conditioning process. Users need to adjust each parameter one by one, which is cumbersome and reduces the user experience.
In multi-dimensional adjustment mode, the air conditioner obtains the user's air conditioning needs, determines the target combination from multiple dimension parameter combinations based on the needs, and automatically adjusts based on the linkage relationship between the parameters, simplifying user operation.
It improves the efficiency of multi-dimensional adjustment, enhances the user experience, and simplifies the user operation process.
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Figure CN117249529B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of air conditioner technology, and in particular to an air conditioner control method, device, air conditioner, and storage medium. Background Technology
[0002] Current air conditioning equipment mainly achieves multi-dimensional air combination control through scene-based processes. This multi-dimensional air combination method simply controls multiple parameters in the combination to simulate different scenes. However, the existing control method does not fully utilize the adjustment efficiency of multi-dimensional combinations and urgently needs improvement.
[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention
[0004] The main objective of this invention is to provide an air conditioner control method, device, air conditioner, and storage medium, aiming to solve the technical problem that the existing technology does not fully utilize the adjustment efficiency of multiple dimensions.
[0005] To achieve the above objectives, the present invention provides an air conditioner control method, the air conditioner control method comprising the following steps: The air conditioner control method includes: When the air conditioner is in multi-dimensional adjustment mode, the input air conditioning demand is obtained, and the air conditioning demand includes at least one demand. Based on the stated air conditioning requirements, a target combination of parameters is determined from multiple parameter combinations; and The air conditioner is controlled to operate according to the target dimension parameter combination.
[0006] Optionally, determining the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements includes: Based on the stated air conditioning requirements, determine the weight values for all preset requirements; and The target dimension parameter combination is determined from multiple dimension parameter combinations based on the weight values of all preset requirements.
[0007] Optionally, determining the target dimension parameter combination from multiple dimension parameter combinations based on the weight values of all preset requirements includes: Obtain the score for each combination of parameters in the preset requirement; Based on the weight values of all preset requirements and the score of each dimension parameter combination on the preset requirements, calculate the combined score of each dimension parameter combination; and The combination of dimension parameters with the highest combined score is taken as the target dimension parameter combination.
[0008] Optionally, the air conditioner control method further includes: Obtain the input dimension parameters; the dimension parameters include at least one of temperature, humidity, air outlet speed, purification speed, and fresh air speed. Based on the input dimension parameters, determine multiple combinations of dimension parameters, including the remaining dimension parameters, and perform the step of determining the target dimension parameter combination from the multiple combinations of dimension parameters according to the air conditioning requirements.
[0009] Optionally, the air conditioner control method further includes: After the air conditioner is started, if no input dimension parameter is detected, the target dimension parameter combination is determined from multiple dimension parameter combinations based on the weight values of all preset requirements, and the operation of the air conditioner is controlled according to the target dimension parameter combination. If an input air conditioning requirement is obtained, the weight value of the preset requirement is determined based on the air conditioning requirement; if no input air conditioning requirement is obtained, the weight value of the preset requirement is the default weight value.
[0010] Optionally, before determining the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements, the method further includes: Obtain multiple combinations of dimensional parameters, wherein the combination of dimensional parameters includes at least two dimensional parameters.
[0011] Optionally, obtaining the combination of multiple dimension parameters includes: Based on human comfort, calculate a combination of multiple dimensions of comfort parameters within a preset range; or, Based on historical operation records, determine the combination of multiple dimension parameters.
[0012] Furthermore, to achieve the above objectives, the present invention also proposes an air conditioner control device, the air conditioner control device comprising: The acquisition module is used to acquire the user's air conditioning needs when the air conditioner is in multi-dimensional adjustment mode. The air conditioning needs include at least one requirement. The filtering module is used to filter out the target dimension parameter combination from multiple dimension parameter combinations according to the air conditioning requirements; The control module is used to control the operation of the air conditioner according to the target dimension parameter combination.
[0013] Furthermore, to achieve the above objectives, the present invention also proposes an air conditioner, the air conditioner comprising: a memory, a processor, and an air conditioner control program stored in the memory and running on the processor, the air conditioner control program being configured to implement the air conditioner control method as described above.
[0014] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing an air conditioner control program, which, when executed by a processor, implements the air conditioner control method as described above.
[0015] This invention acquires the input air conditioning requirements when the air conditioner is in multi-dimensional adjustment mode; determines a target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements; and controls the air conditioner to operate according to the target dimension parameter combination. Based on the linkage relationship between various dimension parameters and the user's different air conditioning needs, the invention automatically selects the corresponding target dimension parameter combination for the user, eliminating the need for the user to adjust each dimension parameter individually. This simplifies user operation, improves the adjustment efficiency of multi-dimensional combinations, and enhances the user experience. Attached Figure Description
[0016] Figure 1 This is a schematic diagram of the structure of an air conditioner in the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of the air conditioner control method of the present invention; Figure 3 This is a flowchart illustrating the second embodiment of the air conditioner control method of the present invention; Figure 4 This is a flowchart illustrating the third embodiment of the air conditioner control method of the present invention; Figure 5 This is a structural block diagram of the first embodiment of the air conditioner control device of the present invention.
[0017] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0018] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.
[0019] Reference Figure 1 , Figure 1 This is a schematic diagram of the air conditioner structure in the hardware operating environment involved in the embodiments of the present invention.
[0020] like Figure 1As 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. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.
[0021] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the air conditioner and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0022] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an air conditioner control program.
[0023] exist Figure 1 In the air conditioner shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the air conditioner of the present invention can be set in the air conditioner, and the 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 in the embodiment of the present invention.
[0024] This invention provides an air conditioner control method, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of an air conditioner control method according to the present invention.
[0025] In this embodiment, the air conditioner control method includes the following steps: Step S10: When the air conditioner is in multi-dimensional adjustment mode, obtain the input air conditioning requirements.
[0026] In this embodiment, the executing entity can be the air conditioner control device, which has functions such as data processing, data communication, and program execution. The air conditioner control device can be a tablet, computer, or server, or other computer equipment. Of course, other devices with similar functions can also be used, and this embodiment does not limit this. For ease of explanation, this embodiment uses an air conditioner control device as an example.
[0027] It's important to note that current multi-dimensional parameter adjustments for air conditioners are based on different user scenarios. Depending on the scenario, corresponding parameters are adjusted, such as temperature and humidity. However, this current adjustment method is only scenario-dependent; each parameter's adjustment is independent of others. For example, adjusting humidity doesn't require considering temperature, and there's no inherent correlation between the parameters. In reality, even with a constant humidity level, changes in humidity can affect user comfort. To meet their comfort needs, users must adjust the humidity after adjusting the temperature, requiring them to adjust each parameter individually, which is cumbersome and reduces the user experience.
[0028] In this embodiment, in order to solve the above-mentioned technical problems, a suitable combination of dimension parameters is selected for the user according to the user's actual needs. Moreover, there is a linkage relationship between the various dimension parameters in each combination. When the user's needs change, the various dimension parameters in the combination will also be automatically adjusted based on the linkage relationship.
[0029] In specific implementation, after detecting that the multi-dimensional adjustment mode is activated, the user's input air conditioning requirements are obtained. These requirements include, but are not limited to, comfort, energy efficiency, and health. Other air conditioning requirements can also be set in this embodiment. The aforementioned comfort, energy efficiency, and health are used to illustrate this embodiment. The air conditioner adjustment requirements in this embodiment include at least one requirement. For example, if the air conditioning requirement is comfort, it indicates that the user needs to ensure their own comfort. Alternatively, if the air conditioning requirement is both comfort and energy efficiency, it indicates that the user needs to ensure both their own comfort and the energy-efficient operation of the air conditioner.
[0030] Step S20: Determine the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements.
[0031] It should be noted that the parameter combination consists of five parameters: temperature, humidity, airflow level, purification level, and fresh air level. The values for each dimension in this combination will differ depending on the specific air conditioning needs. For example, if a user's air conditioning requirement is for health, a higher fresh air level is needed. Conversely, if the user's air conditioning requirement is for energy efficiency, the temperature, humidity, airflow level, purification level, and fresh air level need to be adjusted until the air conditioner's operating power is at a lower level.
[0032] In this embodiment, multiple dimensional parameter combinations are preset. Based on air conditioning needs, the target dimensional parameter combination can be determined from the multiple dimensional parameter combinations. When the user's air conditioning needs are related to health, the dimensional parameter combination with the highest fresh air level is selected from the multiple dimensional parameter combinations as the target dimensional parameter combination.
[0033] It should be emphasized that each of the multiple dimension parameter combinations in this embodiment includes at least two dimension parameters, namely at least two parameters from temperature, humidity, air outlet speed, purification speed, and fresh air speed.
[0034] Furthermore, the multiple parameter combinations in this embodiment are candidate parameter combinations. After determining the multiple parameter combinations, the target parameter combination is selected from these parameter combinations according to the user's air conditioning needs. However, in reality, not any parameter combination can be used as a candidate parameter combination. In this embodiment, screening will be performed in advance.
[0035] In this specific implementation, the comfort level can be filtered based on human comfort. Specifically, the comfort level is calculated by combining multiple dimensional parameters within a preset range. The preset range of comfort level can be set to |PMV|≤0.2, where PMV is the human comfort level. Other values can also be set according to the user's own needs. This embodiment does not impose any restrictions on this.
[0036] In this embodiment, the system can also select the combination of multiple parameters that appear most frequently based on historical operation records, which contain records of user adjustments to various parameters of the air conditioner.
[0037] Step S30: Control the operation of the air conditioner according to the target dimension parameter combination.
[0038] In practice, after determining the target parameter combination, the air conditioner is operated according to the temperature, humidity, air outlet speed, purification speed and fresh air speed corresponding to the target parameter combination, so as to meet the user's air conditioning needs.
[0039] This embodiment acquires the input air conditioning requirements when the air conditioner is in multi-dimensional adjustment mode; determines the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements; and controls the air conditioner to operate according to the target dimension parameter combination. Based on the linkage relationship between various dimension parameters and the user's different air conditioning requirements, the corresponding target dimension parameter combination is automatically selected for the user, eliminating the need for the user to adjust the parameters of each dimension one by one, simplifying user operation, improving the adjustment efficiency of multi-dimensional combinations, and enhancing the user experience.
[0040] refer to Figure 3 , Figure 3 This is a flowchart illustrating a second embodiment of an air conditioner control method according to the present invention.
[0041] Based on the first embodiment described above, in the air conditioner control method of this embodiment, step S20 specifically includes: Step S201: Determine the weight values of all preset requirements based on the air conditioning requirements.
[0042] In this embodiment, each preset requirement included in each different air conditioning need has a corresponding weight value. These preset requirements include energy efficiency, comfort, and health. For example, if the user's air conditioning need is energy efficiency, the weight values for energy efficiency, comfort, and health are 1, 0, and 0, respectively. If the user has multiple air conditioning needs, i.e., the user simultaneously needs energy efficiency, comfort, and health, the weight values for energy efficiency, comfort, and health are 0.2, 0.6, and 0.2, respectively. The weight values in this embodiment can be adjusted according to actual circumstances, and this embodiment does not impose any restrictions on this. If the user does not input any air conditioning needs, this embodiment sets the default weight values for each preset requirement. The default weight values can be set according to the user's actual needs, and this embodiment also does not impose any restrictions on this.
[0043] Step S202: Determine the target dimension parameter combination from multiple dimension parameter combinations based on the weight values of all preset requirements.
[0044] In practice, the target dimension parameter combination can be determined from multiple dimension parameter combinations based on the obtained weight values.
[0045] Specifically, after determining the weight values corresponding to each preset requirement, this embodiment further obtains the score of each dimension parameter combination on the preset requirement. For example, the score corresponding to combination A is 0.3 for energy saving, 0.7 for comfort, and 0.2 for health, while the score corresponding to combination B is 0.4 for energy saving, 0.6 for comfort, and 0.2 for health. Then, based on the weight values and scores, the combination score corresponding to each dimension parameter can be calculated. Finally, the dimension parameter combination with the highest combination score is the target dimension parameter combination.
[0046] For example, suppose that based on the user's input of air conditioning needs, the weight values for energy efficiency, comfort, and health are 0.2, 0.6, and 0.2, respectively. Multiple parameter combinations are A, B, and C. Dimension parameter combination A corresponds to a score of 0.3 for energy efficiency, 0.7 for comfort, and 0.2 for health; dimension parameter combination B corresponds to a score of 0.4 for energy efficiency, 0.6 for comfort, and 0.2 for health; and dimension parameter combination C corresponds to a score of 0.5 for energy efficiency, 0.5 for comfort, and 0.3 for health. Based on these weight values and scores, the combined score for dimension parameter combination A can be calculated to be 0.3. 0.2 + 0.7 0.6 + 0.2 0.2 = 0.52, the combined score of dimension parameter combination B is 0.4. 0.2 + 0.6 0.6 + 0.2 0.2 = 0.48, the combined score of dimension parameter combination C is 0.5. 0.2 + 0.5 0.6 + 0.4 0.2 = 0.46, so we can finally determine that the dimension parameter combination A is the target dimension parameter combination.
[0047] This embodiment determines the weight values of all preset requirements based on the air conditioning needs; obtains the score of each dimension parameter combination on the preset requirements; calculates the combination score of each dimension parameter combination based on the weight values of all preset requirements and the score of each dimension parameter combination on the preset requirements; and selects the dimension parameter combination with the highest combination score as the target dimension parameter combination. The final target dimension parameter combination is determined based on the combination scores by calculating the combination scores of each dimension parameter combination using the weight values of the preset requirements and the score of each dimension parameter combination on the preset requirements. The obtained target dimension parameters are more accurate and reasonable, and better meet the user's needs.
[0048] refer to Figure 4 , Figure 4 This is a flowchart illustrating a third embodiment of an air conditioner control method according to the present invention.
[0049] Based on the above first embodiment, a third embodiment of the air conditioner control method of the present invention is proposed.
[0050] In this embodiment, before the step S20, the method further includes: Step S020: acquiring an input dimensional parameter.
[0051] It should be noted that in this embodiment, after the user completes the input of the air conditioning demand, the user may further input dimensional parameters, and the input dimensional parameters include at least one of temperature, humidity, air output gear, purification gear, and fresh air gear. For example, the user inputs a comfort demand and simultaneously sets the temperature of the air output of the air conditioner; for another example, the user inputs comfort and energy saving demands and simultaneously sets the temperature and humidity of the air output of the air conditioner.
[0052] Step S120: determining a plurality of dimensional parameter combinations including the remaining dimensional parameters according to the input dimensional parameters.
[0053] The multi-dimensional parameters in this embodiment include temperature, humidity, air output gear, purification gear, and fresh air gear. The parameters of these five dimensions can be combined to form a plurality of dimensional parameter combinations, and each dimensional parameter combination has the parameters of the above five dimensions. After the dimensional parameters input by the user are determined, the remaining dimensional parameters are combined, and then a plurality of dimensional parameter combinations are formed including the dimensional parameters input by the user.
[0054] For example, when the input dimensional parameter is temperature, the remaining dimensional parameters are humidity, air output gear, purification gear, and fresh air gear. The humidity, air output gear, purification gear, and fresh air gear are combined, and after a plurality of combinations are obtained, the temperature input by the user is added to obtain a plurality of dimensional parameter combinations, and the temperature in each multi-dimensional parameter combination is the same. For another example, when the input dimensional parameters are temperature and humidity, the remaining dimensional parameters are air output gear, purification gear, and fresh air gear. The air output gear, purification gear, and fresh air gear are combined, and after a plurality of combinations are obtained, the temperature and humidity input by the user are added to obtain a plurality of dimensional parameter combinations, and the temperature and humidity in each multi-dimensional parameter combination are the same. It should also be emphasized that in the subsequent coordinated adjustment process, the dimensional parameters input by the user remain unchanged, and only other dimensional parameters not input by the user are adjusted.
[0055] Further, if the user does not input any dimensional parameter, the parameters of the five dimensions of temperature, humidity, air output gear, purification gear, and fresh air gear are combined to obtain a plurality of dimensional parameter combinations.
[0056] This embodiment obtains the input dimension parameters; determines multiple combinations of dimension parameters, including the remaining dimension parameters, based on the input dimension parameters; and determines suitable alternative dimension parameters for determining the target parameter combination before adjusting the parameters, so that the target parameter combination selected later is more in line with user habits and improves the user experience.
[0057] Furthermore, this embodiment of the invention also proposes a storage medium storing an air conditioner control program, which, when executed by a processor, implements the steps of the air conditioner control method described above.
[0058] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.
[0059] Reference Figure 5 , Figure 5 This is a structural block diagram of the first embodiment of the air conditioner control device of the present invention.
[0060] like Figure 5 As shown, the air conditioner control device proposed in this embodiment of the invention includes: The acquisition module 10 is used to acquire the user's air conditioning needs when the air conditioner is in multi-dimensional adjustment mode.
[0061] It's important to note that current multi-dimensional parameter adjustments for air conditioners are based on different user scenarios. Depending on the scenario, corresponding parameters are adjusted, such as temperature and humidity. However, this current adjustment method is only scenario-dependent; each parameter's adjustment is independent of others. For example, adjusting humidity doesn't require considering temperature, and there's no inherent correlation between the parameters. In reality, even with a constant humidity level, changes in humidity can affect user comfort. To meet their comfort needs, users must adjust the humidity after adjusting the temperature, requiring them to adjust each parameter individually, which is cumbersome and reduces the user experience.
[0062] In this embodiment, in order to solve the above-mentioned technical problems, a suitable combination of dimension parameters is selected for the user according to the user's actual needs. Moreover, there is a linkage relationship between the various dimension parameters in each combination. When the user's needs change, the various dimension parameters in the combination will also be automatically adjusted based on the linkage relationship.
[0063] In specific implementation, after detecting that the multi-dimensional adjustment mode is activated, the user's input air conditioning requirements are obtained. These requirements include, but are not limited to, comfort, energy efficiency, and health. Other air conditioning requirements can also be set in this embodiment. The aforementioned comfort, energy efficiency, and health are used to illustrate this embodiment. The air conditioner adjustment requirements in this embodiment include at least one requirement. For example, if the air conditioning requirement is comfort, it indicates that the user needs to ensure their own comfort. Alternatively, if the air conditioning requirement is both comfort and energy efficiency, it indicates that the user needs to ensure both their own comfort and the energy-efficient operation of the air conditioner.
[0064] The filtering module 20 is used to filter out the target dimension parameter combination from multiple dimension parameter combinations according to the air conditioning requirements.
[0065] It should be noted that the parameter combination consists of five parameters: temperature, humidity, airflow level, purification level, and fresh air level. The values for each dimension in this combination will differ depending on the specific air conditioning needs. For example, if a user's air conditioning requirement is for health, a higher fresh air level is needed. Conversely, if the user's air conditioning requirement is for energy efficiency, the temperature, humidity, airflow level, purification level, and fresh air level need to be adjusted until the air conditioner's operating power is at a lower level.
[0066] In this embodiment, multiple dimensional parameter combinations are preset. Based on air conditioning needs, the target dimensional parameter combination can be determined from the multiple dimensional parameter combinations. When the user's air conditioning needs are related to health, the dimensional parameter combination with the highest fresh air level is selected from the multiple dimensional parameter combinations as the target dimensional parameter combination.
[0067] It should be emphasized that each of the multiple dimension parameter combinations in this embodiment includes at least two dimension parameters, namely at least two parameters from temperature, humidity, air outlet speed, purification speed, and fresh air speed.
[0068] Furthermore, the multiple parameter combinations in this embodiment are candidate parameter combinations. After determining the multiple parameter combinations, the target parameter combination is selected from these parameter combinations according to the user's air conditioning needs. However, in reality, not any parameter combination can be used as a candidate parameter combination. In this embodiment, screening will be performed in advance.
[0069] In this specific implementation, the comfort level can be filtered based on human comfort. Specifically, the comfort level is calculated by combining multiple dimensional parameters within a preset range. The preset range of comfort level can be set to |PMV|≤0.2, where PMV is the human comfort level. Other values can also be set according to the user's own needs. This embodiment does not impose any restrictions on this.
[0070] In this embodiment, the system can also select the combination of multiple parameters that appear most frequently based on historical operation records, which contain records of user adjustments to various parameters of the air conditioner.
[0071] The control module 30 is used to control the operation of the air conditioner according to the target dimension parameter combination.
[0072] In practice, after determining the target parameter combination, the air conditioner is operated according to the temperature, humidity, air outlet speed, purification speed and fresh air speed corresponding to the target parameter combination, so as to meet the user's air conditioning needs.
[0073] This embodiment acquires the input air conditioning requirements when the air conditioner is in multi-dimensional adjustment mode; determines the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements; and controls the air conditioner to operate according to the target dimension parameter combination. Based on the linkage relationship between various dimension parameters and the user's different air conditioning requirements, the corresponding target dimension parameter combination is automatically selected for the user, eliminating the need for the user to adjust the parameters of each dimension one by one, simplifying user operation, improving the adjustment efficiency of multi-dimensional combinations, and enhancing the user experience.
[0074] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.
[0075] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.
[0076] In addition, for technical details not described in detail in this embodiment, please refer to the air conditioner control method provided in any embodiment of the present invention, which will not be repeated here.
[0077] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system 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 system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.
[0078] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0079] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0080] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.
Claims
1. An air conditioner control method, characterized in that, The air conditioner control method includes: When the air conditioner is in multi-dimensional adjustment mode, the input air conditioning demand is obtained, and the air conditioning demand includes at least one demand. Based on the stated air conditioning requirements, a target combination of parameters is determined from multiple parameter combinations; and The air conditioner is controlled to operate according to the target dimension parameter combination; The air conditioner control method further includes: Obtain the input dimension parameters; the dimension parameters include at least one of temperature, humidity, air outlet speed, purification speed, and fresh air speed. Based on the input dimensional parameters, determine multiple combinations of dimensional parameters, including the remaining dimensional parameters, and execute the step of determining the target dimensional parameter combination from the multiple dimensional parameter combinations according to the air conditioning requirements; The step of determining the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements includes: Based on the stated air conditioning requirements, determine the weight values for all preset requirements; and The target dimension parameter combination is determined from multiple dimension parameter combinations based on the weight values of all the preset requirements; The step of determining the target dimension parameter combination from multiple dimension parameter combinations based on the weight values of all preset requirements includes: Obtain the score for each combination of parameters in the preset requirement; Based on the weight values of all preset requirements and the score of each dimension parameter combination on the preset requirements, calculate the combined score of each dimension parameter combination; and The combination of dimension parameters with the highest combined score is taken as the target dimension parameter combination.
2. The air conditioner control method as described in claim 1, characterized in that, The air conditioner control method further includes: After the air conditioner is started, if no input dimension parameter is detected, the target dimension parameter combination is determined from multiple dimension parameter combinations based on the weight values of all preset requirements, and the operation of the air conditioner is controlled according to the target dimension parameter combination. If an input air conditioning requirement is obtained, the weight value of the preset requirement is determined based on the air conditioning requirement; if no input air conditioning requirement is obtained, the weight value of the preset requirement is the default weight value.
3. An air conditioner control device, characterized in that, The air conditioner control device includes: The acquisition module is used to acquire the user's air conditioning needs when the air conditioner is in multi-dimensional adjustment mode. The air conditioning needs include at least one requirement. The filtering module is used to filter out the target dimension parameter combination from multiple dimension parameter combinations according to the air conditioning requirements; The control module is used to control the operation of the air conditioner according to the target dimension parameter combination; The air conditioner control device also includes: The second acquisition module is used to acquire input dimensional parameters; the dimensional parameters include at least one of temperature, humidity, air outlet speed, purification speed, and fresh air speed. The combination module is used to determine multiple combinations of dimensional parameters, including the remaining dimensional parameters, based on the input dimensional parameters, and to execute the step of determining the target dimensional parameter combination from the multiple dimensional parameter combinations according to the air conditioning requirements; The step of determining the target dimension parameter combination from multiple dimension parameter combinations based on the air conditioning requirements includes: Based on the stated air conditioning requirements, determine the weight values for all preset requirements; and The target dimension parameter combination is determined from multiple dimension parameter combinations based on the weight values of all the preset requirements; The step of determining the target dimension parameter combination from multiple dimension parameter combinations based on the weight values of all preset requirements includes: Obtain the score for each combination of parameters in the preset requirement; Based on the weight values of all preset requirements and the score of each dimension parameter combination on the preset requirements, calculate the combined score of each dimension parameter combination; and The combination of dimension parameters with the highest combined score is taken as the target dimension parameter combination.
4. An air conditioner, characterized in that, The air conditioner includes: a memory, a processor, and an air conditioner control program stored in the memory and running on the processor, the air conditioner control program being configured to implement the air conditioner control method as described in any one of claims 1 to 2.
5. A storage medium, characterized in that, The storage medium stores an air conditioner control program, which, when executed by a processor, implements the air conditioner control method as described in any one of claims 1 to 2.
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