CN110736233B - Air conditioner control method and device - Google Patents
Air conditioner control method and device Download PDFInfo
- Publication number
- CN110736233B CN110736233B CN201911040328.5A CN201911040328A CN110736233B CN 110736233 B CN110736233 B CN 110736233B CN 201911040328 A CN201911040328 A CN 201911040328A CN 110736233 B CN110736233 B CN 110736233B
- Authority
- CN
- China
- Prior art keywords
- user
- information
- state information
- physiological information
- user state
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012549 training Methods 0.000 claims abstract description 37
- 230000007613 environmental effect Effects 0.000 claims description 33
- 238000004378 air conditioning Methods 0.000 claims description 12
- 210000000577 adipose tissue Anatomy 0.000 claims description 7
- 230000036541 health Effects 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 18
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000013528 artificial neural network Methods 0.000 description 5
- 206010044565 Tremor Diseases 0.000 description 4
- 230000008859 change Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000001816 cooling Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 206010013954 Dysphoria Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
-
- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
- F24F11/526—Indication arrangements, e.g. displays giving audible indications
-
- 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
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/20—Feedback from users
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses an air conditioner control method and device. Wherein, the method comprises the following steps: collecting user state information; inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; and controlling the air conditioner to adjust the operation parameters according to the adjustment parameters. The invention solves the technical problems that the air conditioner control feedback effect is poor and the user experience and comfort are influenced in the related technology.
Description
Technical Field
The invention relates to the field of air conditioners, in particular to an air conditioner control method and device.
Background
In the related art, the traditional air conditioner control method is single, a remote controller is usually adopted for control, the control accuracy of the control method is not high, a disposable battery is usually required to be installed for control, resource waste and environmental pollution are easily caused, the energy-saving effect is not obvious, and the air conditioner control is not energy-saving. In the related art, when the air conditioner is controlled by the controller, the air conditioner sometimes has a slow response speed due to various reasons, and the problems of slow feedback speed, poor feedback effect and influence on user experience and comfort exist.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an air conditioner control method and device, and aims to at least solve the technical problems that the air conditioner control feedback effect is poor and the user experience and comfort are influenced in the related technology.
According to an aspect of an embodiment of the present invention, there is provided an air conditioner control method including: collecting user state information; inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; and controlling the air conditioner to adjust the operation parameters according to the adjusting parameters.
Optionally, inputting the user status information into a control model, and outputting an adjustment parameter corresponding to the user status information by the control model includes: detecting physiological information of a user; determining an environment parameter range of an environment where a user is located according to physiological information of the user, wherein the environment parameter range comprises: a temperature threshold and/or a humidity threshold; and controlling the air conditioner to operate to reach the environmental parameter range.
Optionally, the physiological information includes at least one of: age, gender, health index, case information, body fat rate.
Optionally, determining the environmental parameter range according to the physiological information of the user includes: determining an environmental parameter adjustment value according to the physiological information; and adjusting the default environment parameter range according to the environment parameter adjusting value to determine the environment parameter range.
Optionally, determining the environmental parameter adjustment value according to the physiological information includes: judging the physiological information grade of the physiological information, wherein a physiological information range is divided into a plurality of physiological information sub-ranges according to one or more information nodes, and each physiological information sub-range corresponds to one physiological information grade; and determining an environmental parameter adjusting value corresponding to the physiological information grade according to the physiological information grade of the physiological information.
Optionally, the method further includes: receiving voice information of a user; determining a control instruction according to the voice information; and controlling the air conditioner according to the control instruction.
Optionally, the user status information includes at least one of the following: an expressive feature of the user; the motion characteristics of the user, and the physical state characteristics of the user.
According to another aspect of the embodiments of the present invention, there is also provided an air conditioning control apparatus including: the acquisition module is used for acquiring user state information; the identification module is used for inputting the user state information into a control model, and the control model outputs an adjusting parameter corresponding to the user state information; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; and the control module is used for controlling the air conditioner to adjust the operation parameters according to the adjusting parameters.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, a device in which the storage medium is located is controlled to execute any one of the above methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform the method described in any one of the above.
In the embodiment of the invention, the user state information is collected; inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; the mode that the air conditioner is controlled to adjust the operation parameters according to the adjustment parameters is determined through the user state information, the operation parameters of the air conditioner are adjusted, and the purpose of performing feedback control according to the user state information is achieved, so that the feedback optimization effect is achieved, the technical effects of user experience and comfort are improved, and the technical problems that the feedback effect of air conditioner control in the related technology is poor, and the user experience and the comfort are influenced are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of a control flow of a control system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a preset temperature and humidity range according to an embodiment of the invention;
fig. 4 is a schematic diagram of an air conditioning control apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of an air conditioning control method, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system, such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
Fig. 1 is a flowchart of an air conditioner control method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, collecting user state information;
step S104, inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information;
and step S104, controlling the air conditioner to adjust the operation parameters according to the adjustment parameters.
Through the steps, user state information is collected; inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; the mode that the air conditioner is controlled to adjust the operation parameters according to the adjustment parameters is determined through the user state information, the operation parameters of the air conditioner are adjusted, and the purpose of performing feedback control according to the user state information is achieved, so that the feedback optimization effect is achieved, the technical effects of user experience and comfort are improved, and the technical problems that the feedback effect of air conditioner control in the related technology is poor, and the user experience and the comfort are influenced are solved.
The collected user state information may be a physical state of the user, such as trembling, curling, a physical state in which the user feels cold, undressing, fanning, or a physical state in which the user feels hot. The user state may also be an expression state of the user, for example, relaxed, comfortable, nervous, and fidgety. According to the state information of the user, the feeling of the user on the effect of the current air conditioner can be acquired, so that the feedback control is performed on the air conditioner, the effect of the air conditioner is improved, and the user experience and the comfort are improved. The above-mentioned collecting the user status information may be collecting the user status information by a collecting device, for example, collecting an expression image or a body image of the user by an image collecting device to determine the body status or the expression status of the user.
And inputting the user state information into the control model, and outputting the adjusting parameters corresponding to the user state information by the control model. It should be noted that the user state information is state information that is reflected by the user under the effect of the operation of the air conditioner, that is, before the user state information is collected, the air conditioner is already started and operates in a certain operation parameter or operation mode. And then collecting the user state information under the operation parameters or the operation mode of the air conditioner. And the feedback information of the user is determined according to the acquired user state information, so that the operation parameters or the operation mode of the air conditioner are fed back and adjusted according to the user feedback information.
The control model can comprise a PID fuzzy control algorithm and a neural network model algorithm, the control model can be a deep learning model or a machine learning model, the control model is formed by training a plurality of groups of training data, after the control model is established, the control model is converged by training the plurality of groups of training data, user state information can be input into the control model, and adjusting parameters corresponding to the user state information are output by the control model. Each set of the training data may include input user status information and output corresponding adjustment parameters. For example, each set of training data may be a user's physical state of trembling and a corresponding adjustment parameter that adjusts a temperature rise of 5 degrees celsius. When the air conditioner executes the adjusting instruction, the physical state of the user can be improved towards a comfortable direction. For another example, each set of training data may be that the physical expression state of the user is fidgety, and the adjustment temperature is decreased by 3 degrees celsius, and the adjustment instruction is executed in the air conditioner, so that the physical state of the user can be improved in a comfortable direction.
Optionally, the user state information is input into the control model, and the control model outputs an adjustment parameter corresponding to the user state information, which includes: detecting physiological information of a user; determining an environment parameter range of an environment where a user is located according to physiological information of the user, wherein the environment parameter range comprises: a temperature threshold and/or a humidity threshold; the air conditioner is controlled to operate to reach the environmental parameter range.
Optionally, the physiological information includes at least one of: age, gender, health index, case information, body fat rate.
The physiological information of the user may affect the environmental parameter comfortable to the user, and the physiological information may be age, over-age or under-age, and the bearing capacity for the environmental parameter may decrease, so that the temperature rising value may be appropriately increased and the temperature falling value may be decreased, for example, when the age of the user is larger or smaller, the preset temperature may be increased by 2 ℃.
The physiological information may be sex, and men and women of different sex have different abilities to bear the environmental parameters, and relatively, men have stronger abilities than women. For example, when the user is female, the preset temperature is increased by 2 ℃. When the user is young and middle-aged and the gender is male, the preset upper and lower temperature thresholds are kept unchanged.
The physiological information can also be a health index which is lower and indicates that the resistance of the user is poorer, the user is not suitable for lower temperature and larger temperature difference, and the cooling speed and the lowest temperature of the cooling are required to be controlled during cooling.
The physiological information may be case information, and it is possible to know whether or not a user has an adverse effect on a temperature change, a humidity change, or other environmental parameter changes, based on a case of the user, and to avoid the adverse effect with appropriate memorability.
The physiological information can also be the body fat rate, and the bearing capacity of the people with higher body fat rate to the change of the environmental parameters is stronger than that of the people with lower body fat rate, so that the environmental parameters required by the user can be adjusted.
From the physiological information, an environmental parameter that the user can feel comfortable with the physiological information can be determined. Thereby controlling the air conditioner to enter the environmental parameter.
Optionally, determining the environmental parameter range according to the physiological information of the user includes: determining an environmental parameter adjustment value according to the physiological information; and adjusting the default environment parameter range according to the environment parameter adjusting value to determine the environment parameter range.
And determining a corresponding environmental parameter adjusting value according to the physiological information, and adjusting a default environmental parameter range according to the environmental parameter adjusting value so as to determine an environmental parameter range, wherein the default environmental parameter range can be 25 ℃ at normal temperature.
Optionally, the determining the environmental parameter adjustment value according to the physiological information includes: judging the physiological information grade of the physiological information, wherein the physiological information range is divided into a plurality of physiological information sub-ranges according to one or more information nodes, and each physiological information sub-range corresponds to one physiological information grade; and determining an environmental parameter adjusting value corresponding to the physiological information grade according to the physiological information grade of the physiological information.
For example, the ages can be divided into four physiological information levels of young, middle-aged and old, the physiological information sub-ranges corresponding to the four physiological information levels can be that the ages of 0-14 are young, the ages of 14-30 are young, the ages of 30-50 are middle-aged and the ages exceeding 50 are old, the environmental regulation values corresponding to the young and the old are small, and the temperature rise or the temperature fall is kept at a slightly small level to adapt to the weak bearing capacity. For another example, the gender is divided into male and female, which includes two physiological information levels of male and female, and the corresponding physiological information sub-ranges are gender male and gender female, which can be less tolerated by female, and the corresponding environmental regulation value is smaller.
Optionally, the method further includes: receiving voice information of a user; determining a control instruction according to the voice information; and controlling the air conditioner according to the control instruction.
Before determining the control instruction according to the voice information: extracting voice features according to the voice information; verifying whether the voice information has the control authority or not according to the voice characteristics; and in the case that the voice information has the control authority, executing the step of determining the control instruction according to the voice information. The control command is prior to the adjusting parameter, because the voice is sent by the user, namely the control command is directly sent by the user to the air conditioner, and the adjusting parameter is the user identification of the air conditioner, determines the user's requirement and belongs to the user passive control, therefore, the control command is prior to the adjusting parameter, which is convenient for the user to directly control the air conditioner.
Optionally, the user status information includes at least one of the following: an expressive feature of the user; the motion characteristics of the user, and the physical state characteristics of the user.
The user state features can be acquired through an image acquisition device, expression features of the user are extracted from the image, and body state features are protected by action features.
It should be noted that this embodiment also provides an alternative implementation, and the following detailed description is provided for this implementation.
According to the embodiment, the state of a user is detected by establishing the air conditioner control model based on the neural network, and the purposes of saving energy, improving control accuracy, improving comfort of people and the like are achieved.
The key points of the present embodiment are: the control model of the air conditioning system is PID fuzzy control or neural network control, or a control model which is jointly constructed by PID control and the neural network. The air conditioner presets an optimal environment temperature and humidity range, and the range consists of an upper temperature threshold, a lower temperature threshold and an upper humidity threshold. The voice input of the user is too cold or too hot, or the function of the air conditioner detects that the user is trembling or fidgeting, the air conditioning system carries out feedback adjustment, and the ambient temperature and the humidity are adjusted to the optimal temperature and humidity range preset by the system. The system of the embodiment can perform intervention control according to the specific requirements of the user, avoid great system fluctuation, reduce the room comfort and improve the reliability of the system.
FIG. 2 is a schematic illustration of a control flow of a control system according to an embodiment of the present invention; fig. 3 is a schematic diagram of a preset temperature and humidity range according to an embodiment of the present invention, and as shown in fig. 2 and fig. 3, a control model of an air conditioning system is PID fuzzy control or neural network control, or a control model constructed by PID control and neural network together, and the control model can adjust an operation state of an air conditioner to keep the room temperature and humidity within an appropriate range.
The air conditioning system has a voice function and can recognize instruction information of a user. The human sensing function can identify the position information of the human body, the state information of the human body, the age and the sex of the human body.
The air conditioner presets an optimal environment temperature and humidity range, and the range consists of an upper temperature threshold, a lower temperature threshold and an upper humidity threshold. The air conditioning system identifies the age and gender information of a user, and performs difference adjustment on a preset temperature and humidity range: when the age of the user is larger or smaller, the preset upper and lower temperature thresholds float upwards by 2 ℃, and when the user is female, the preset upper and lower temperature thresholds float upwards by 2 ℃. When the user is young and middle-aged and the gender is male, the preset upper and lower temperature thresholds are kept unchanged.
When the user uses, the air conditioner can discern user's age and information through people's function at first to adjust and predetermine the temperature humidity range in air conditioning system. When the user sends the instruction to the air conditioner through pronunciation, for example too cold, it is too hot, perhaps people detect user's mode, for example trembling or dysphoria, the air conditioner receives the instruction after, goes to adjust the operating parameter of air conditioner through preset control model, makes it room temperature reach in the humiture scope that is fit for the user.
The air conditioner control system provided by the embodiment has strong adaptability and high feedback precision, can adjust the parameters of the adaptive user by detecting the state of the user, improves the use comfort of the user, and simultaneously can ensure that the system does not fluctuate frequently due to the change of the environment, thereby improving the reliability of the system.
Fig. 4 is a schematic diagram of an air conditioning control apparatus according to an embodiment of the present invention, and as shown in fig. 4, according to another aspect of the embodiment of the present invention, there is also provided an air conditioning control apparatus including: acquisition module 42, identification module 44, and control module 46
An acquisition module 42, configured to acquire user status information; the recognition module 44 is connected to the acquisition module 42, and is configured to input the user status information into the control model, and output an adjustment parameter corresponding to the user status information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; and the control module 46 is connected with the identification module 44 and is used for controlling the air conditioner to adjust the operation parameters according to the adjustment parameters.
By the device, the acquisition module 42 is adopted to acquire the user state information; the recognition module 44 inputs the user state information into the control model, and the control model outputs the adjusting parameters corresponding to the user state information; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information; the control module 46 determines the adjustment parameters according to the adjustment parameters and the user state information, and adjusts the operation parameters of the air conditioner, so as to achieve the purpose of feedback control according to the user state information, thereby realizing the feedback optimization effect, improving the technical effects of user experience and comfort, and further solving the technical problems of poor feedback effect of air conditioner control, and influence on the user experience and comfort in the related art.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the method of any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform the method of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (7)
1. An air conditioner control method, comprising:
collecting user state information;
inputting the user state information into a control model, and outputting an adjusting parameter corresponding to the user state information by the control model; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information;
controlling the air conditioner to adjust the operation parameters according to the adjusting parameters;
inputting the user state information into a control model, wherein before outputting an adjustment parameter corresponding to the user state information by the control model, the method comprises: detecting physiological information of a user; determining an environment parameter range of an environment where a user is located according to physiological information of the user, wherein the environment parameter range comprises: a temperature threshold and/or a humidity threshold; controlling the air conditioner to operate to reach the environmental parameter range;
the physiological information includes at least one of: age, gender, health index, case information, body fat rate;
determining the environmental parameter range from the physiological information of the user comprises: determining an environmental parameter adjustment value according to the physiological information; and adjusting the default environment parameter range according to the environment parameter adjusting value to determine the environment parameter range.
2. The method of claim 1, wherein determining an environmental parameter adjustment value based on the physiological information comprises:
judging the physiological information grade of the physiological information, wherein a physiological information range is divided into a plurality of physiological information sub-ranges according to one or more information nodes, and each physiological information sub-range corresponds to one physiological information grade;
and determining an environmental parameter adjusting value corresponding to the physiological information grade according to the physiological information grade of the physiological information.
3. The method of claim 1, further comprising:
receiving voice information of a user;
determining a control instruction according to the voice information;
and controlling the air conditioner according to the control instruction.
4. The method according to any of claims 1 to 3, wherein the user status information comprises at least one of:
an expressive feature of the user; the motion characteristics of the user, and the physical state characteristics of the user.
5. An air conditioning control device, characterized by comprising:
the acquisition module is used for acquiring user state information;
the identification module is used for inputting the user state information into a control model, and the control model outputs an adjusting parameter corresponding to the user state information; the control model is formed by training a plurality of groups of training data, wherein each group of training data comprises input user state information and adjusting parameters corresponding to the user state information;
the control module is used for controlling the air conditioner to adjust the operation parameters according to the adjusting parameters;
inputting the user state information into a control model, wherein before outputting an adjustment parameter corresponding to the user state information by the control model, the method comprises: detecting physiological information of a user; determining an environment parameter range of an environment where a user is located according to physiological information of the user, wherein the environment parameter range comprises: a temperature threshold and/or a humidity threshold; controlling the air conditioner to operate to reach the environmental parameter range;
the physiological information includes at least one of: age, gender, health index, case information, body fat rate;
determining the environmental parameter range from the physiological information of the user comprises: determining an environmental parameter adjustment value according to the physiological information; and adjusting the default environment parameter range according to the environment parameter adjusting value to determine the environment parameter range.
6. A storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 4.
7. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911040328.5A CN110736233B (en) | 2019-10-29 | 2019-10-29 | Air conditioner control method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911040328.5A CN110736233B (en) | 2019-10-29 | 2019-10-29 | Air conditioner control method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110736233A CN110736233A (en) | 2020-01-31 |
| CN110736233B true CN110736233B (en) | 2020-10-16 |
Family
ID=69270261
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911040328.5A Active CN110736233B (en) | 2019-10-29 | 2019-10-29 | Air conditioner control method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110736233B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111536633A (en) * | 2020-06-12 | 2020-08-14 | 深圳市中建南方环境股份有限公司 | Novel air purification system, method and device with efficient filter unit |
| CN113375305A (en) * | 2021-06-01 | 2021-09-10 | 青岛海尔空调器有限总公司 | Control method and device of air conditioner, electronic equipment and storage medium |
| CN113375308B (en) * | 2021-06-15 | 2023-01-13 | 青岛海尔空调器有限总公司 | Control method and device for air conditioner and air conditioner |
| CN113531804B (en) * | 2021-06-24 | 2023-01-13 | 青岛海尔空调器有限总公司 | Automatic control method and device of air conditioner, electronic equipment and storage medium |
| CN113915754B (en) * | 2021-08-19 | 2023-04-14 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6601758B2 (en) * | 2015-07-28 | 2019-11-06 | 清水建設株式会社 | Target environment recommendation device, air conditioning system, target environment recommendation method, and air conditioning control method |
| CN106403203B (en) * | 2016-11-24 | 2019-07-26 | 广东美的制冷设备有限公司 | Control method, control device and the air conditioner of air conditioner |
| CN106354172A (en) * | 2016-11-26 | 2017-01-25 | 西宁意格知识产权咨询服务有限公司 | Intelligent temperature control system for special-grade ward of hospital |
| CN109458718B (en) * | 2017-09-04 | 2021-01-12 | 杭州海康威视数字技术股份有限公司 | Air conditioner control system and method |
| CN109140665A (en) * | 2018-08-31 | 2019-01-04 | 珠海格力电器股份有限公司 | Method and device for controlling air conditioner and air conditioner device |
-
2019
- 2019-10-29 CN CN201911040328.5A patent/CN110736233B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110736233A (en) | 2020-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110736233B (en) | Air conditioner control method and device | |
| CN109357352B (en) | Air conditioner intelligent temperature control system and method based on decision tree classification algorithm | |
| CN111720974A (en) | Operation control method, control panel, air conditioning equipment and computer storage medium | |
| CN110726222B (en) | Air conditioner control method and device, storage medium and processor | |
| CN112066528A (en) | Air conditioner control method and device, storage medium and air conditioner | |
| CN112880156B (en) | Control method and control device for air conditioner and air conditioner | |
| CN108413588B (en) | Personalized air conditioner control system and method based on thermal imaging and BP neural network | |
| CN113341741B (en) | Household appliance control method and device for fatigue degree adjustment and household appliance | |
| CN107725453B (en) | Fan and control method and system thereof | |
| CN113091273A (en) | Method and device for controlling air conditioner and air conditioner | |
| CN114061051B (en) | Method and device for controlling air conditioner and air conditioner | |
| CN113819620B (en) | Method and device for controlling air conditioner, air conditioner and storage medium | |
| CN113251626B (en) | Rotating speed adjusting method and device for air deflector and air conditioner | |
| CN113847714A (en) | Household edge computing-based automatic indoor environment adjusting method and device | |
| CN104566829A (en) | Air conditioner control method and system | |
| CN114594694A (en) | Equipment control method and device, intelligent pad and storage medium | |
| CN111219857B (en) | Method and system for controlling air conditioner based on face dynamic information | |
| CN112880119A (en) | Air conditioner control method and device, storage medium and air conditioner | |
| WO2023010950A1 (en) | Method and apparatus for humidity adjustment, and air conditioning device | |
| CN113932429A (en) | Control method and control device for household appliance, intelligent mattress and server | |
| CN113091245B (en) | Control method and device for air conditioner and air conditioner | |
| CN114740740A (en) | Control method and control device of intelligent home system and intelligent home system | |
| CN113028597B (en) | Voice control method and device | |
| CN113932390A (en) | Control method and control device for household appliance, intelligent mattress and server | |
| CN112198853A (en) | Control method and device of intelligent household equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |