CN108488987B - Control method of air conditioning apparatus, storage medium, and apparatus - Google Patents
Control method of air conditioning apparatus, storage medium, and apparatus Download PDFInfo
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- CN108488987B CN108488987B CN201810191996.7A CN201810191996A CN108488987B CN 108488987 B CN108488987 B CN 108488987B CN 201810191996 A CN201810191996 A CN 201810191996A CN 108488987 B CN108488987 B CN 108488987B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses a control method of an air conditioning apparatus, a storage medium, and an apparatus, the control method including: determining a contextual model to be recommended, wherein the contextual model is a model for simulating a preset environment by controlling the operation of air conditioning equipment; recommending the contextual model to be recommended to the control equipment of the air conditioning equipment so that the control equipment controls the air conditioning equipment to enter the contextual model. The technical problem of low control efficiency of the air conditioning equipment in the prior art is solved, the air conditioning equipment can be controlled to operate according to the contextual model which is more in line with the actual use requirements of users, the environment can be simulated, the control efficiency of the air conditioning equipment is improved, and the user experience degree is improved.
Description
Technical Field
The present invention relates to the field of home appliance devices, and in particular, to a method for controlling an air conditioning device, a computer-readable storage medium, an air conditioning device, and a mobile terminal device.
Background
At present, the control of the household electrical appliance, such as the control of the air conditioning equipment, can only set the control parameters thereof through an APP (Application program) or a remote controller on a control terminal, and the control efficiency is low.
Disclosure of Invention
The embodiment of the application provides a control method, a storage medium and equipment of air conditioning equipment, and solves the technical problem that the control efficiency of the air conditioning equipment is low in the prior art.
A first embodiment of the present application provides a control method of an air conditioning apparatus, including: determining a contextual model to be recommended, wherein the contextual model is a model for simulating a preset environment by controlling the operation of air conditioning equipment; recommending the contextual model to be recommended to the control equipment of the air conditioning equipment so that the control equipment controls the air conditioning equipment to enter the contextual model.
In the technical scheme, the determined contextual model to be recommended can be recommended to the control equipment of the air conditioning equipment, and the control equipment controls the air conditioning equipment to enter the contextual model, so that the simulation of the preset environment is realized by controlling the operation of the air conditioning equipment, and the dynamic and intelligent regulation of the environment where the user is located is realized; and the scene mode of the air conditioning equipment can be directly recommended and shared, so that the control efficiency of the air conditioning equipment is improved, and the user experience is improved.
Further, the control device may be located in the air conditioning device, that is, the contextual model to be recommended is directly shared to the air conditioning device, and specifically, the air conditioning device operates according to the target value of the air parameter in the specified contextual model; the control device may also be a mobile terminal, and the mobile terminal controls the air conditioning device to operate according to the target value of the air parameter in the specified contextual model.
In the foregoing technical solution, preferably, the determining a contextual model to be recommended includes: acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended matched with the contextual model selection parameters from a plurality of contextual models; or receiving the contextual model to be recommended sent by a server, wherein the server determines the contextual model to be recommended from a plurality of contextual models based on contextual model selection parameters associated with the air conditioning equipment.
In the technical scheme, on one hand, the contextual model to be recommended can be determined directly according to the contextual model selection parameters associated with the air conditioning equipment, and specifically, the matched contextual model is selected from a plurality of known contextual models according to the contextual model selection parameters to serve as the contextual model to be recommended, so that the accuracy and reliability of contextual model recommendation are ensured, and the specific actual requirements of a user can be met; on the other hand, the contextual model to be recommended, which is determined by the server according to the contextual model selection parameters associated with the air conditioning equipment, can be acquired from the server, and particularly, the server selects the matched contextual model from the known contextual models according to the contextual model selection parameters to serve as the contextual model to be recommended, so that the accuracy and reliability of contextual model recommendation can be ensured, the specific actual requirements of the user can be met better, and the calculation amount is small, simple and efficient.
In any of the above technical solutions, preferably, the preset environment includes: and presetting a natural environment.
In any one of the above technical solutions, preferably, when the preset environment is the preset natural environment, the contextual model is obtained by: determining air parameters corresponding to the preset natural environment; determining an air parameter target value corresponding to the contextual model according to the air parameter; and determining a scene mode corresponding to the preset natural environment based on the corresponding relation between the preset natural environment and the air parameter target value.
In the technical scheme, the specific contextual model to be recommended can be a model for simulating a preset natural environment by controlling the operation of the air conditioning equipment, namely, the simulation of the natural environment is realized, the air parameter target value under each contextual model is determined by presetting air parameters under the natural environment, and the air conditioning equipment adjusts the air parameters to be the air parameter target value, so that the simulation of the contextual model corresponding to the preset natural environment is realized, and the sense of the contextual model by a user is more natural.
Further, the air parameter target value may be at least one specific set of values, may be a set of value ranges, and may be a numerical relationship curve.
In any one of the above technical solutions, preferably, the preset natural environment includes: and at least one of an environment with preset natural characteristics, an environment with preset geographical positions and a natural environment with preset time.
The environment with the preset natural characteristics comprises empty mountain new rain, tropical rainforests, grasslands on dams, seaside walking and the like, the environment with the preset geographic position comprises urban environments such as Beijing, Shanghai, Mitsui, New York and Sydney, and the natural environment with the preset time comprises environments within preset solar terms, preset seasons, preset time periods every day and the like.
In any of the above technical solutions, preferably, the preset environment includes: is suitable for living environment of organisms with preset health degree.
Wherein the predetermined health level comprises at least one of a disease and sub-health.
In any one of the above technical solutions, preferably, when the preset environment includes the living organism living environment suitable for the preset health degree, the contextual model is obtained by: determining air parameters affecting the preset health degree; determining an air parameter set value of the air parameter corresponding to the preset health degree to serve as an air parameter target value corresponding to the living organism living environment; and determining the contextual model corresponding to the living environment of the organism based on the preset health degree and the control parameter target value corresponding to the preset environment.
In the technical scheme, the specific contextual model to be recommended can be a model for simulating living organism living environment suitable for the preset health degree by controlling the operation of the air conditioning equipment, namely, simulation of environment suitable for user experience with the preset health degree is realized, the air parameter target value under each contextual model is determined by influencing the air parameter of the preset health degree, and the air conditioning equipment is used for adjusting the air parameter to be the air parameter target value, so that simulation of the contextual model corresponding to the living organism living environment suitable for the preset health degree is realized, and the sense of the contextual model is more healthy and comfortable for a user.
Further, the air parameter target value may be at least one specific set of values, may be a set of value ranges, and may be a numerical relationship curve.
In any one of the above technical solutions, preferably, the determining an air parameter setting value of the air parameter corresponding to the preset health degree specifically includes: determining a plurality of preset diseases included in the preset health degree; and determining the air parameter set value according to the optimal treatment case data of the preset diseases to serve as the air parameter target value corresponding to the living environment of the organism.
In the technical scheme, the target value of the air parameter for the air conditioning equipment to adjust the air parameter can be determined according to the optimal treatment medical record data corresponding to various preset diseases, so that the simulated living environment of the organism suitable for the preset diseases is real and effective.
In any one of the above technical solutions, preferably, the air parameter includes at least two parameters of air pressure, temperature, humidity, air quality index and wind speed, and the air parameter target value includes parameter values of the at least two parameters.
In any one of the above technical solutions, preferably, the acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended that matches the contextual model selection parameters from a plurality of contextual models, includes: acquiring parameters of multiple dimensions of a plurality of air conditioning devices to determine a parameter vector corresponding to each air conditioning device, wherein the parameter vector is the contextual model selection parameter; respectively calculating similarity values between the target parameter vector corresponding to the target air-conditioning equipment and the parameter vectors of other air-conditioning equipment; and determining the contextual model to be recommended based on the similarity value.
In this technical solution, the contextual model to be recommended may be determined among the plurality of contextual models by calculating similarity values between the parameter vector of the target air conditioning device of the plurality of air conditioning devices and the parameter vectors (i.e., the contextual model selection parameters) of the remaining other air conditioning devices, and specifically, the plurality of similarity values corresponding to the plurality of air conditioning devices may be compared, and the parameters of the plurality of dimensions included in the parameter vector corresponding to the similarity value before the preset bit may be determined as the contextual model selection parameters for determining the contextual model to be recommended, so that the accuracy and the coverage of the contextual model selection parameters as a standard may be ensured.
In any one of the above technical solutions, preferably, the acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended that matches the contextual model selection parameters from a plurality of contextual models, includes: determining a geographical position parameter corresponding to the current position of the air conditioning equipment; determining an environmental parameter matching the geographic location; and determining the contextual model to be recommended which is matched with the parameter value of the environmental parameter from the plurality of contextual models.
In the technical scheme, the geographical position parameter of the current position of the air conditioning equipment and the environment parameter corresponding to the geographical position parameter can be used as the contextual model selection parameter to determine the matched contextual model to be recommended from a plurality of contextual models, so that the contextual model to be recommended is matched with the local specific environment characteristic.
In any one of the above technical solutions, preferably, the acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended that matches the contextual model selection parameters from a plurality of contextual models, includes: determining equipment activity parameters of the air conditioning equipment in a preset time period, wherein the equipment activity parameters comprise equipment function use frequency and equipment networking time; and determining the contextual model to be recommended which is matched with the value of the equipment activity parameter from the contextual models.
In the technical scheme, the device activity parameter of the air conditioning device in the preset time period can be used as the contextual model selection parameter to determine the matched contextual model to be recommended from the contextual models, so that the contextual model to be recommended better conforms to the use habit of the user.
In any one of the above technical solutions, preferably, the acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended that matches the contextual model selection parameters from a plurality of contextual models, includes: determining user characteristic parameters of the air conditioning equipment, wherein the user characteristic parameters comprise user identification information and user health state information; and determining the contextual model to be recommended which is matched with the value of the user characteristic parameter from the contextual models.
In the technical scheme, the user characteristic parameters of the user to which the air conditioning equipment belongs can be used as contextual model selection parameters to determine the matched contextual model to be recommended from a plurality of contextual models, so that the contextual model to be recommended better meets the requirements of the user.
A second embodiment of the present application provides a computer-readable storage medium on which a control program of an air conditioning apparatus is stored, the control program of the air conditioning apparatus implementing the control method of the air conditioning apparatus as set forth in any one of the first embodiments described above when executed by a processor.
A third embodiment of the present application provides an air conditioning apparatus including a memory, a processor, and a control program of the air conditioning apparatus stored on the memory and executable on the processor, the processor implementing the control method of the air conditioning apparatus as set forth in any one of the first embodiments described above when executing the control program of the air conditioning apparatus.
A fourth embodiment of the present application provides a mobile terminal device, including a memory, a processor, and a control program of an air conditioning device stored on the memory and executable on the processor, wherein the processor implements the control method of the air conditioning device according to any one of the first embodiments when executing the control program of the air conditioning device.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 shows a flowchart of a control method of an air conditioning apparatus of a first embodiment of the present invention;
FIG. 2 is a schematic diagram showing the composition of an air conditioning apparatus according to an embodiment of the present invention;
fig. 3 is a schematic diagram showing the composition of a mobile terminal device according to an embodiment of the present invention.
Detailed Description
In order to solve the problem of low control efficiency of air conditioning equipment, a control method, a storage medium and equipment of the air conditioning equipment are provided.
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
Example one
As shown in fig. 1, the control method of the air conditioning equipment according to the first embodiment of the present invention specifically includes the following process steps:
And 104, recommending the contextual model to be recommended to control equipment of the air conditioning equipment so that the control equipment controls the air conditioning equipment to enter the contextual model.
The method and the device have the advantages that the determined contextual model to be recommended can be recommended to the control device of the air conditioning equipment, the control device controls the air conditioning equipment to enter the contextual model, simulation of the preset environment is achieved by controlling operation of the air conditioning equipment, dynamic and intelligent adjustment of the environment where a user is located is achieved, direct recommendation and sharing of the contextual model of the air conditioning equipment can be achieved, control efficiency of the air conditioning equipment is improved, and user experience is improved.
Further, the control device may be located in the air conditioning device, that is, the contextual model to be recommended is directly shared to the air conditioning device, and specifically, the air conditioning device operates according to the target value of the air parameter in the specified contextual model; the control device may also be a mobile terminal, and the mobile terminal controls the air conditioning device to operate according to the target value of the air parameter in the specified contextual model.
Further, step 102 in the foregoing embodiment may specifically be implemented as the following two specific embodiments:
the method comprises the steps of (I) obtaining contextual model selection parameters related to the air conditioning equipment, and determining the contextual model to be recommended which is matched with the contextual model selection parameters from a plurality of contextual models.
It can be understood that the contextual model to be recommended can be determined directly according to the contextual model selection parameters associated with the air conditioning equipment, and specifically, the matched contextual model is selected from a plurality of known contextual models according to the contextual model selection parameters to serve as the contextual model to be recommended, so that the accuracy and reliability of contextual model recommendation are ensured, and the specific actual requirements of the user can be met better.
And (II) receiving the contextual model to be recommended sent by the server, wherein the server determines the contextual model to be recommended from a plurality of contextual models based on contextual model selection parameters associated with the air conditioning equipment.
It can be understood that the contextual model to be recommended, which is determined by the server according to the contextual model selection parameters associated with the air conditioning equipment, can be acquired from the server, and specifically, the server selects a matched contextual model from a plurality of known contextual models according to the contextual model selection parameters as the contextual model to be recommended, so that the accuracy and reliability of contextual model recommendation can be ensured, the specific actual requirements of the user can be better met, and the calculation amount is small, simple and efficient.
Further, the preset environment in the above embodiment can be specifically described by the following two specific embodiments.
Detailed description of the preferred embodiment: the preset environment includes a preset natural environment.
Further, when the preset environment is the preset natural environment, the contextual model is obtained by: determining air parameters corresponding to the preset natural environment; determining an air parameter target value corresponding to the contextual model according to the air parameter; and determining a scene mode corresponding to the preset natural environment based on the corresponding relation between the preset natural environment and the air parameter target value.
It can be understood that the specific contextual model to be recommended may be a model that simulates a preset natural environment by controlling the operation of the air conditioning device, that is, the simulation of the natural environment is realized, the air parameter target value under each contextual model is determined by presetting the air parameter under the natural environment, and the air conditioning device adjusts the air parameter to the air parameter target value, so that the simulation of the contextual model corresponding to the preset natural environment is realized, and the sense of the contextual model by the user is more natural.
Further, the air parameter target value may be at least one specific set of values, may be a set of value ranges, and may be a numerical relationship curve.
Further, the preset natural environment includes: and at least one of an environment with preset natural characteristics, an environment with preset geographical positions and a natural environment with preset time.
In this embodiment, the outdoor natural environment is precisely defined by the environment with the preset natural characteristics, the environment with the preset geographical position and the natural environment with the preset time, and then the multi-dimensional outdoor environment simulation function from time, space and climate can be realized by finding the air parameter target value matched with at least one of the natural characteristics, the geographical position and the preset time, wherein the more the natural characteristics, the geographical position and the characteristic parameters in the preset time are defined, the more the value of the scene parameter is accurate.
The server side is provided with a weather database, historical environment data can be inquired in the weather database according to parameters such as solar term characteristics, position characteristics and weather characteristics to serve as scene parameters, and the environment simulation effect can be set optimally.
For example, at least two data of temperature, humidity, air quality index and wind speed in the weather environment of light rain in the indoor of Beijing under the solar terms of spring are inquired as scene parameters.
The environment with the preset natural characteristics comprises empty mountain new rain, tropical rainforests, grasslands on dams, seaside walking and the like, the environment with the preset geographic position comprises urban environments such as Beijing, Shanghai, Mitsui, New York and Sydney, and the natural environment with the preset time comprises environments within preset solar terms, preset seasons, preset time periods every day and the like.
Detailed description of the invention: the preset environment comprises living organism living environment suitable for preset health degree, wherein the preset health degree comprises at least one of diseases and sub-health.
Further, when the preset environment includes the living organism residential environment suitable for the preset health degree, the contextual model is obtained by: determining air parameters affecting the preset health degree; determining an air parameter set value of the air parameter corresponding to the preset health degree to serve as an air parameter target value corresponding to the living organism living environment; and determining the contextual model corresponding to the living environment of the organism based on the preset health degree and the control parameter target value corresponding to the preset environment.
It can be understood that the specific contextual model to be recommended may be a model for simulating living environment of an organism suitable for the preset health degree by controlling operation of the air conditioning device, that is, simulation of environment suitable for user experience with the preset health degree is achieved, the air parameter target value under each contextual model is determined by influencing the air parameter of the preset health degree, and the air conditioning device is used for adjusting the air parameter to the air parameter target value, so that simulation of the contextual model corresponding to the living environment of the organism suitable for the preset health degree is achieved, and the sense of the contextual model by the user is more healthy and comfortable.
Further, the air parameter target value may be at least one specific set of values, may be a set of value ranges, and may be a numerical relationship curve.
Further, in the above embodiment, the determining the air parameter setting value of the air parameter corresponding to the preset health degree specifically includes: determining a plurality of preset diseases included in the preset health degree; and determining the air parameter set value according to the optimal treatment case data of the preset diseases to serve as the air parameter target value corresponding to the living environment of the organism.
It can be understood that the target value of the air parameter for the air conditioning device to adjust the air parameter can be determined according to the optimal medical record data corresponding to each of the plurality of preset diseases, so that the simulated living environment of the living organism suitable for the preset diseases is real and effective, and the recovery of the illness state of the patient is facilitated.
The server side can be used for presetting a case database, so that the optimal treatment case data can be inquired in the meteorological database according to the preset case to obtain the air parameter target value.
Further, in any of the above embodiments, the air parameter includes at least two parameters of air pressure, temperature, humidity, air quality index and wind speed, and the air parameter target value includes parameter values of the at least two parameters.
Further, the scheme of acquiring the profile selection parameters associated with the air conditioning equipment and determining the profile to be recommended, which matches the profile selection parameters, from a plurality of profiles in the above embodiments may be specifically described by the following specific embodiments.
Detailed description of the preferred embodiment: acquiring parameters of multiple dimensions of a plurality of air conditioning devices to determine a parameter vector corresponding to each air conditioning device, wherein the parameter vector is the contextual model selection parameter; respectively calculating corresponding target air conditionersSimilarity values between the target parameter vector of the equipment and the parameter vectors of other air-conditioning equipment; and determining the contextual model to be recommended based on the similarity value.
It is understood that the profile to be recommended among the plurality of profiles may be determined by calculating similarity values between the parameter vector of the target air conditioning apparatus of the plurality of air conditioning apparatuses and the parameter vectors (i.e., profile selection parameters) of the remaining other air conditioning apparatuses, and specifically, the plurality of similarity values corresponding to the plurality of air conditioning apparatuses may be compared, and the parameters of the plurality of dimensions included in the parameter vector corresponding to the similarity value located before the preset bit may be determined as the profile selection parameters for determining the profile to be recommended, so that the accuracy and the coverage of the profile selection parameters as a standard may be ensured.
Detailed description of the invention: determining a geographical position parameter corresponding to the current position of the air conditioning equipment; determining an environmental parameter matching the geographic location; and determining the contextual model to be recommended which is matched with the parameter value of the environmental parameter from the plurality of contextual models.
It can be understood that the geographic position parameter of the current position of the air conditioning equipment and the environmental parameter corresponding to the geographic position parameter may be used as the contextual model selection parameter to determine the matched contextual model to be recommended from the plurality of contextual models, so that the contextual model to be recommended is matched with the local specific environmental characteristic.
Specifically, the geographic position parameter specifically refers to a geographic position parameter, such as a positioning position and an altitude, where the air conditioning device is currently located, and the environmental parameter corresponding to the geographic position parameter includes indoor and outdoor environmental parameters of a space where the air conditioning device is located, such as weather conditions of cloudy, sunny, rainy, snowy, wind, and the like, a current indoor and outdoor temperature, a current indoor and outdoor humidity, a current PM2.5 value, and a current CO2Concentration, etc. so that the scene mode can be screened based on the environmental parameters, for example, for the same city area, if the temperature of the whole cityIf the difference is not large, the temperature parameter related to the air conditioning equipment can be conveniently determined without improving the judgment accuracy, otherwise, if the temperature difference of the whole city is large, the region needs to be further divided; it is understood that the environmental parameters corresponding to the geographic location parameters not only refer to the current relatively stable environmental parameters, but also include abnormal conditions near the current geographic location, such as prediction of the pollution degree within several hours of possible future operation with reference to the wind direction, the pollution degree and the like, so that the user can accurately grasp the outdoor air condition of the location, provide prediction of the air condition for the user for a period of time in the future, and remind the user and take corresponding preventive measures in advance.
Detailed description of the preferred embodiment: determining equipment activity parameters of the air conditioning equipment in a preset time period, wherein the equipment activity parameters comprise equipment function use frequency and equipment networking time; and determining the contextual model to be recommended which is matched with the value of the equipment activity parameter from the contextual models.
It can be understood that the device activity parameter of the air conditioning device in the preset time period can be used as the contextual model selection parameter to determine the matched contextual model to be recommended from the contextual models, so that the contextual model to be recommended better conforms to the use habit of the user, that is, the corresponding contextual model of the air conditioning device is started to dynamically and intelligently adjust the climate environment around the user through the use habit of the user.
Detailed description of the invention: determining user characteristic parameters of the air conditioning equipment, wherein the user characteristic parameters comprise user identification information and user health state information; and determining the contextual model to be recommended which is matched with the value of the user characteristic parameter from the contextual models.
It can be understood that the user characteristic parameter of the user to which the air conditioning equipment belongs may be used as the contextual model selection parameter to determine the matched contextual model to be recommended from the plurality of contextual models, so that the contextual model to be recommended better meets the requirements of the user.
For the user characteristic parameters, the user identification information may include the user identity related parameters such as the family member composition of the user and the age, sex, weight and the like of the user, and the user health state information may include the parameters such as whether the user is ill or not and what kind of disease the user is ill, so as to meet the requirements of different people on the air parameters.
Based on the same inventive concept, the embodiment of the present invention further provides a computer-readable storage medium corresponding to the method in the first embodiment, which is shown in the second embodiment.
Example two
A computer-readable storage medium according to an embodiment of the present invention has stored thereon a control program of an air conditioning apparatus that, when executed by a processor, implements a control method of the air conditioning apparatus as described in the first embodiment above.
Based on the same inventive concept, the embodiment of the present invention further provides an air conditioning device corresponding to the method in the first embodiment, as shown in the third embodiment.
EXAMPLE III
As shown in fig. 2, the air conditioning device according to the embodiment of the present invention includes a memory 202, a processor 204, and a control program of the air conditioning device stored in the memory 202 and executable on the processor 204, and when the processor 204 executes the control program of the air conditioning device, the control method of the air conditioning device according to the first embodiment is implemented.
Based on the same inventive concept, the embodiment of the present invention further provides a mobile terminal device corresponding to the method in the first embodiment, which is shown in the fourth embodiment.
Example four
As shown in fig. 3, the mobile terminal device according to the embodiment of the present invention includes a memory 302, a processor 304, and a control program of the air conditioning device stored in the memory 302 and operable on the processor 304, and when the processor 304 executes the control program of the air conditioning device, the control method of the air conditioning device according to the above embodiment is implemented.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (15)
1. A control method of an air conditioning apparatus, characterized by comprising:
determining a contextual model to be recommended, wherein the contextual model is a model for simulating a preset environment by controlling the operation of air conditioning equipment;
recommending the contextual model to be recommended to a control device of the air conditioning device so that the control device controls the air conditioning device to enter the contextual model;
the preset environment includes: is suitable for living environment of organisms with preset health degree.
2. The method of claim 1, wherein the determining the contextual model to be recommended comprises:
acquiring contextual model selection parameters associated with the air conditioning equipment, and determining the contextual model to be recommended matched with the contextual model selection parameters from a plurality of contextual models; alternatively, the first and second electrodes may be,
and receiving the contextual model to be recommended sent by a server, wherein the contextual model to be recommended is determined by the server from a plurality of contextual models based on contextual model selection parameters associated with the air conditioning equipment.
3. The method of claim 1, wherein the pre-set environment comprises: and presetting a natural environment.
4. The method of claim 3, wherein when the preset environment is the preset natural environment, the contextual model is obtained by:
determining air parameters corresponding to the preset natural environment;
determining an air parameter target value corresponding to the contextual model according to the air parameter;
and determining a scene mode corresponding to the preset natural environment based on the corresponding relation between the preset natural environment and the air parameter target value.
5. The method of claim 4, wherein the predetermined natural environment comprises: and at least one of an environment with preset natural characteristics, an environment with preset geographical positions and a natural environment with preset time.
6. The method of claim 1, wherein when the preset environment includes the living organism residential environment suitable for the preset degree of health, the contextual model is obtained by:
determining air parameters affecting the preset health degree;
determining an air parameter set value of the air parameter corresponding to the preset health degree to serve as an air parameter target value corresponding to the living organism living environment;
and determining the contextual model corresponding to the living environment of the organism based on the preset health degree and the control parameter target value corresponding to the preset environment.
7. The method according to claim 6, wherein the determining an air parameter set point for the air parameter corresponding to the predetermined health level comprises:
determining a plurality of preset diseases included in the preset health degree;
and determining the air parameter set value according to the optimal treatment case data of the preset diseases to serve as the air parameter target value corresponding to the living environment of the organism.
8. The method of claim 4 or 6, wherein the air parameters comprise at least two parameters of air pressure, temperature, humidity, air quality index and wind speed, and the air parameter target values comprise parameter values of the at least two parameters.
9. The method of claim 2, wherein the obtaining of the profile selection parameters associated with the air conditioning device and the determining of the profile to be recommended from a plurality of profiles that matches the profile selection parameters comprises:
acquiring parameters of multiple dimensions of a plurality of air conditioning devices to determine a parameter vector corresponding to each air conditioning device, wherein the parameter vector is the contextual model selection parameter;
respectively calculating similarity values between the target parameter vector corresponding to the target air-conditioning equipment and the parameter vectors of other air-conditioning equipment;
and determining the contextual model to be recommended based on the similarity value.
10. The method of claim 2, wherein the obtaining of the profile selection parameters associated with the air conditioning device and the determining of the profile to be recommended from a plurality of profiles that matches the profile selection parameters comprises:
determining a geographical position parameter corresponding to the current position of the air conditioning equipment;
determining an environmental parameter matching the geographic location;
and determining the contextual model to be recommended which is matched with the parameter value of the environmental parameter from the plurality of contextual models.
11. The method of claim 2, wherein the obtaining of the profile selection parameters associated with the air conditioning device and the determining of the profile to be recommended from a plurality of profiles that matches the profile selection parameters comprises:
determining equipment activity parameters of the air conditioning equipment in a preset time period, wherein the equipment activity parameters comprise equipment function use frequency and equipment networking time;
and determining the contextual model to be recommended which is matched with the value of the equipment activity parameter from the contextual models.
12. The method of claim 2, wherein the obtaining of the profile selection parameters associated with the air conditioning device and the determining of the profile to be recommended from a plurality of profiles that matches the profile selection parameters comprises:
determining user characteristic parameters of the air conditioning equipment, wherein the user characteristic parameters comprise user identification information and user health state information;
and determining the contextual model to be recommended which is matched with the value of the user characteristic parameter from the contextual models.
13. A computer-readable storage medium, characterized in that a scene mode push program is stored thereon, which when executed by a processor implements the control method according to any one of claims 1 to 12.
14. An air conditioning apparatus, characterized by comprising a memory, a processor, and a control program of the air conditioning apparatus stored on the memory and executable on the processor, the processor implementing the control method according to any one of claims 1 to 12 when executing the control program of the air conditioning apparatus.
15. A mobile terminal device characterized by comprising a memory, a processor, and a control program of an air conditioning device stored on the memory and executable on the processor, the processor implementing the control method according to any one of claims 1 to 12 when executing the control program of the air conditioning device.
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| CN111256320A (en) * | 2018-11-30 | 2020-06-09 | 广东美的制冷设备有限公司 | Temperature control method, air conditioning apparatus, control apparatus for air conditioning apparatus, and storage medium |
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