CN112161388A - Control method and device of air conditioner - Google Patents
Control method and device of air conditioner Download PDFInfo
- Publication number
- CN112161388A CN112161388A CN202010923883.9A CN202010923883A CN112161388A CN 112161388 A CN112161388 A CN 112161388A CN 202010923883 A CN202010923883 A CN 202010923883A CN 112161388 A CN112161388 A CN 112161388A
- Authority
- CN
- China
- Prior art keywords
- parameters
- user
- air conditioner
- parameter
- target operation
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000007613 environmental effect Effects 0.000 abstract description 6
- 238000012545 processing Methods 0.000 description 27
- 238000004458 analytical method Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 8
- 210000004243 sweat Anatomy 0.000 description 8
- 238000000018 DNA microarray Methods 0.000 description 4
- 238000007664 blowing Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000035900 sweating Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 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
-
- 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
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
-
- 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
- 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
- F24F11/65—Electronic processing for selecting an operating mode
-
- 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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
-
- 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
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 provides a control method and device of an air conditioner. Wherein, the method comprises the following steps: obtaining user parameters uploaded by wearable equipment, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user; and controlling the air conditioner according to the user parameters. The technical problem that in the prior art, the user experience is poor due to the fact that the user requirements cannot be met accurately only by the mode of controlling the air conditioner according to the collected environmental parameters is solved.
Description
Technical Field
The application belongs to the field of control, and particularly relates to a control method and device of an air conditioner.
Background
With the rapid development of social economy, an intelligent society is accelerating, wherein the development of smart homes has already stepped into a fast lane, and under the innovation of increasingly fast smart home technologies, various methods for intelligently adjusting smart devices are endless, for example, an air conditioner controller may collect indoor environmental parameters first and then control the operation of an air conditioner according to an instruction preset by a user.
It should be noted that, in the prior art, the air conditioner is controlled only according to the collected environmental parameters, and the coarse adjustment control method cannot accurately meet the requirements of the user, which results in poor user experience.
Disclosure of Invention
The application provides a control method and device of an air conditioner.
According to a first aspect of the present invention, there is provided a control method of an air conditioner, the method including: acquiring user parameters uploaded by the wearable device, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user; and controlling the air conditioner according to the user parameters.
Further, the number of the user parameters is multiple, wherein the controlling the air conditioner according to the user parameters comprises: under the condition that a first parameter in the user parameters meets a preset condition, adjusting the weight proportion of the first parameter in the user parameters; and controlling the air conditioner according to the adjusted weight proportion of each user parameter.
Further, the controlling the air conditioner according to the adjusted weight ratio of each user parameter includes: acquiring operation parameters of an air conditioner in a preset time period; generating an initial target operation parameter of the air conditioner according to the adjusted weight proportion of each user parameter; and under the condition that the absolute value of the difference value between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to a preset threshold value, converting the initial target operation parameter into a final target operation parameter, wherein the final target operation parameter is different from the initial target operation parameter.
Further, acquiring the user parameters uploaded by the wearable device includes: acquiring real-time parameters uploaded by wearable equipment; acquiring parameters of a preset time period uploaded by wearable equipment; and determining the average value of the real-time parameters and the parameters of the preset time period as the user parameters.
Further, the controlling the air conditioner according to the user parameter includes: converting an operation mode of the air conditioner from an initial mode to a target mode; and/or adjusting the operation parameters of the air conditioner under the condition that the operation mode of the air conditioner is not changed.
According to a second aspect of the present invention, there is provided a control apparatus of an air conditioner. The method comprises the following steps: the acquisition unit is used for acquiring user parameters uploaded by the wearable device, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user; and the control unit is used for controlling the air conditioner according to the user parameters.
Further, the number of the user parameters is plural, wherein the control unit includes: the adjusting module is used for adjusting the weight proportion of the first parameter in the user parameters under the condition that the first parameter in the user parameters meets the preset condition; and the control module is used for controlling the air conditioner according to the adjusted weight proportion of each user parameter.
Further, the control module includes: the acquisition module is used for acquiring the operating parameters of the air conditioner in a preset time period; the generating module is used for generating initial target operation parameters of the air conditioner according to the adjusted weight proportion of each user parameter; the first conversion module is used for converting the initial target operation parameter into a final target operation parameter under the condition that the absolute value of the difference value between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to a preset threshold value, wherein the final target operation parameter is different from the initial target operation parameter.
Further, the acquisition unit includes: the first sub-acquisition module is used for acquiring real-time parameters uploaded by the wearable equipment; the second sub-acquisition module acquires parameters of a preset time period uploaded by the wearable device; and the determining module is used for determining the average value of the real-time parameters and the parameters of the preset time period as the user parameters.
Further, the control unit includes: the second conversion module is used for converting the operation mode of the air conditioner from the initial mode to the target mode; and/or the adjusting module is used for adjusting the operation parameters of the air conditioner under the condition that the operation mode of the air conditioner is not changed.
The invention provides a control method and device of an air conditioner. Wherein, the method comprises the following steps: acquiring user parameters uploaded by the wearable device, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user; and controlling the air conditioner according to the user parameters. The technical problem that in the prior art, the user experience is poor due to the fact that the user requirements cannot be met accurately only by the mode of controlling the air conditioner according to the collected environmental parameters is solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a control method of an air conditioner according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an alternative control method of an air conditioner according to a first embodiment of the present invention; and
fig. 3 is a schematic diagram of a control device of an air conditioner according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a control method of an air conditioner, which may include:
step S12, obtaining a user parameter uploaded by the wearable device, where the user parameter at least includes one of the following: a motion parameter of the user or a physiological parameter of the user.
And step S14, controlling the air conditioner according to the user parameters.
Specifically, in this scheme, can obtain the user parameter that wearable equipment uploaded through intelligent house central processing unit, above-mentioned intelligent house central processing unit can be connected with a plurality of intelligent equipment, for example, the air conditioner, the humidifier, robot etc. sweeps floor, above-mentioned wearable equipment can be intelligent motion bracelet, intelligent wrist-watch, intelligent helmet, wait intelligent terminal equipment, can include biochip among the above-mentioned wearable equipment, through this biochip, user's motion parameter and physiological parameter can be gathered through the mode that non-invasive detected to above-mentioned wearable equipment, it explains that, above-mentioned motion parameter can be for the user wearing above-mentioned wearable equipment then the data that the motion produced, for example, the walking of user or the step number of running, the number of sit up, the time that the flat board supported etc.. The physiological parameter is a physiological parameter of a human body collected by the wearable device, such as heat, temperature, heart rate, sweat and the like of the human body. After acquiring the parameters of the user, the central processing unit in the intelligent home generates an air conditioner control instruction according to the user parameters (the motion parameters and/or the physiological parameters), and sends the instruction to the air conditioner for execution, wherein the instruction can control various parameters of the air conditioner, such as temperature, air output and the like.
Taking the sports bracelet as an example, the user uses the sports bracelet, parameters such as the number of steps of the user, the heat consumed by sports, the skin temperature, sweat, the heart rate and the like which are not limited to sports can be collected through the sports bracelet, it needs to be explained that the parameters can simultaneously comprise the sports parameters and the physiological parameters of the user, the sports bracelet uploads the parameters to the intelligent household central processing unit after collecting the parameters, and the intelligent household central processing unit can generate the sports analysis report of the user according to the parameters and then generates the air conditioner control command according to the sports analysis report to send the air conditioner. It should be noted that, the exercise analysis report may include both the exercise parameter and the physiological parameter data of the user, and may also include a recommendation report of parameter adjustment, for example, if the user generates too much heat, the temperature of the air conditioner needs to be decreased or the air output needs to be increased, for example, if the detected amount of the human body sweating data is large, the air blowing function of the air conditioner is turned off, and the central processing unit in the smart home may generate a control instruction of the air conditioner according to the recommendation report of parameter adjustment.
It should be noted that, according to the scheme, motion data or physiological data of a user are collected firstly, and then the air conditioner is controlled according to the data parameters, and as the motion data and the physiological data can reflect real-time conditions and body feeling of a human body most, the scheme controls the air conditioner according to user parameters by obtaining user parameters (motion parameters of the user and/or physiological parameters of the user) uploaded by the wearable device, and then the technical problem that in the prior art, the requirement of the user cannot be met accurately only according to collected environmental parameters and then the control mode of controlling the air conditioner cannot be met, and user experience is poor is solved.
It should be further explained that the wearable device in this scheme can send the collected parameters to the central processing unit in the intelligent home, and also can directly send the parameters to the air conditioner controller for processing.
It should be noted that, in this scheme, the step of generating the air conditioner control instruction according to the user motion parameter and the physiological parameter may also be implemented by the wearable device itself.
Optionally, the number of the user parameters is multiple, wherein the controlling the air conditioner according to the user parameters in step S14 may include:
step S141, when a first parameter of the user parameters meets a preset condition, adjusting a weight ratio of the first parameter in the user parameters.
And step S142, controlling the air conditioner according to the adjusted weight proportion of each user parameter.
Specifically, in this scheme, the first parameter is any one of a plurality of user parameters, after the central processing unit in the smart home acquires a plurality of parameters (number of steps of exercise, heat consumed by exercise, skin temperature, sweat, heart rate, and the like) of the user, the weight proportion of the parameter in all the user parameters may be adjusted according to whether the specific condition of any one of the parameters (for example, the first parameter) meets a preset condition, and after each of the parameters in all the parameters is determined to meet the preset condition and then the weight proportion is adjusted, the central processing unit in the smart home controls the air conditioner according to all the user parameters and the weight proportion of each of the user parameters.
Here, in the present embodiment, the air conditioner is controlled according to all the user parameters and the weight proportion of each user parameter, and the present embodiment is not particularly limited with respect to the mapping relationship and the association relationship between all the parameters and the weight proportion of each user parameter and the air conditioner control command (i.e., the specific operation parameter of the air conditioner), and the mapping relationship between the independent variable (the number of steps of exercise, the heat consumed by exercise, the skin temperature, sweat, the heart rate, and other parameters) and the dependent variable (the target temperature of the air conditioner, the target air output, the target wind power, and other operation parameters) may be established according to the specific situation.
Preferably, the judgment of the preset condition may be analysis of component classification for each parameter, that is, judgment of quantity and classification for each data is performed simultaneously, that is, adjustment of weight ratio is performed after judgment of quantity and classification for each data. Examples of component classification table analysis are as follows: the method comprises the steps of firstly, carrying out maximum detection on the quantity of each type of data, when the quantity of the type of data exceeds the set maximum value of the type of data, preferentially adjusting the weight proportion (such as 10% or other) of the type of data in all parameters, and if the type of data is the number of moving steps and other types of data fluctuate within a set normal range, adjusting the weight proportion of the number of moving steps in all data analysis.
Optionally, in this scheme, the following methods may be provided by adjusting the weight ratio of each parameter according to the parameter and then controlling the air conditioner: 1. and if the number of the moving steps is large and the quantity of other data is normal, fine adjustment or no adjustment is performed on the air conditioning mode. 2. If the sweat of the moving human body is more, the wind power of the air conditioner is reduced or the blowing function is directly closed according to the weight proportion. 3. If the heart rate is fast and the heat consumed by the moving human body is high, the refrigerating capacity of the air conditioner is increased according to the weight proportion of the heart rate and the heat consumed by the moving human body, so that the comfort level of the human body is ensured.
Optionally, the step S142 of controlling the air conditioner according to the adjusted weight ratio of each user parameter includes:
in step S1421, the operation parameters of the air conditioner in the preset time period are obtained.
Step S1422, generating an initial target operation parameter of the air conditioner according to the adjusted weight ratio of each user parameter.
Step S1423, when the absolute value of the difference between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to the preset threshold, convert the initial target operation parameter into a final target operation parameter, where the final target operation parameter is different from the initial target operation parameter.
Specifically, the operation parameter of the air conditioner in the preset time period may be a temperature of the air conditioner in a previous state (i.e., an operation parameter of the air conditioner after the air conditioner is controlled last time), the intelligent home central processing unit may generate an initial target operation parameter (such as a target temperature, a target air output amount, etc.) of the air conditioner according to the adjusted weight ratio of each user parameter, may determine a difference between the two parameters (the initial target operation parameter of the air conditioner and the parameter of the previous state), in case of large difference (the absolute value of the difference between the two is greater than or equal to the preset threshold), the air conditioner is controlled not to execute according to the initial target operation parameters, but the initial target operation parameters are converted into different final operation target parameters, and then the air conditioner is controlled to be executed, and the discomfort of the user caused by the instantaneous large change of the operation parameters can be avoided by controlling the air conditioner in such a way.
For example, after the smart home central processing unit adjusts the weight ratio according to the real-time parameters of the user, the air conditioner control instruction generated according to the adjusted weight ratio, that is, the initial target operation parameter (air conditioner temperature 22 ℃), the smart home central processing unit may obtain the temperature 28 ℃ of the air conditioner in the previous state, the smart home central processing unit may not directly control the air conditioner to decrease according to the temperature difference of 6 degrees, but first determine the absolute value of the difference between the two, if the absolute value of the difference between the two is greater than a preset threshold, the smart home central processing unit may multiply the difference by a preset percentage as the true temperature difference, that is, the preset threshold may be 5 degrees, that is, in case of |22-28| >5, the temperature difference between the two is 6 degrees + 80% 4.8 degrees, the temperature difference between the two is taken as the true temperature difference, and then control the air conditioner to decrease from 28 degrees to 4.8 degrees to 23.2 degrees, optionally, in the scheme, the intelligent air conditioner can broadcast the motion analysis report by using a voice function, and the motion analysis report contains the real-time parameters of the user and also comprises the adjustment suggestions of the air conditioner parameters.
Optionally, the step S12 of acquiring the user parameter uploaded by the wearable device may include:
and step S1211, acquiring real-time parameters uploaded by the wearable device.
In step S1212, parameters of the preset time period uploaded by the wearable device are obtained.
In step S1213, the average value of the real-time parameter and the parameter of the preset time period is determined as the user parameter.
Specifically, in the scheme, the parameter of the preset time period can be an operation parameter of the air conditioner in the previous time period (namely before the preset time period), and the scheme can adopt a method of measuring an average value of the data in the previous time period according to timeliness of the data uploaded in real time, so that reasonability of real-time data analysis is guaranteed.
Optionally, the step S14 of controlling the air conditioner according to the user parameter may include:
step A, converting the operation mode of the air conditioner from an initial mode to a target mode; and/or
And B, under the condition that the operation mode of the air conditioner is not changed, adjusting the operation parameters of the air conditioner.
Specifically, in the present embodiment, after the user parameter is adjusted by the weight ratio, the control on the air conditioner may include a transition from an initial mode to a target mode, such as a transition from a cooling mode to a heating mode, or may include a mode change, but fine-tuning the air conditioner operation parameter.
Referring to fig. 2, an alternative air conditioner control method according to the present disclosure is described below, and as shown in fig. 2, the method may include:
and step S20, the motion bracelet detects the human motion data and uploads the data.
And step S21, analyzing the data in real time after the intelligent home central processing unit receives the data.
And step S221, the intelligent home central processing unit detects and adjusts the weight proportion of the data according to the maximum classification amount.
In step S222, the adjustment weight is made larger for each unit increase in heat consumed by sweat and exercise.
Step S223, the average value of the real-time data and the previous time period is used as the class data of the time period.
It should be noted that, in this embodiment, the sequence of steps S221 to S223 is not limited to a chronological order, and may be regarded as three strategies for analyzing data in step S21.
And step S23, generating a human body motion analysis report, and issuing a control command in the mode to the air conditioner.
And step S24, executing the command by the air conditioner, and adjusting the temperature and the wind power of the air conditioner.
In conclusion, the scheme solves the problem that the time and the time of the human body during the movement can adopt different modes and intelligently fine-adjust according to the generated movement real-time analysis condition, and adopts a method of weighting various data after the movement bracelet detects the movement data condition of the human body and appropriately adopts suggestions to generate movement reports for the crowds with various constitutions.
Example two
The present application further provides a control device of an air conditioner, which can be used to implement the method of the first embodiment, and can also be disposed in a central processing unit of an intelligent home, as used below, the terms "module", "unit", "subunit", and the like can implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
As shown in fig. 3, the present application provides a control apparatus of an air conditioner, the apparatus including:
the obtaining unit 30 is configured to obtain a user parameter uploaded by the wearable device, where the user parameter at least includes one of the following: a motion parameter of the user or a physiological parameter of the user.
And a control unit 32 for controlling the air conditioner according to the user parameter.
Specifically, in this scheme, can acquire the user parameter that wearable equipment uploaded through the acquisition unit 30 among the intelligent house central processing unit, above-mentioned intelligent house central processing unit can be connected with a plurality of smart machines, for example, the air conditioner, the humidifier, robot etc. sweeps floor, above-mentioned wearable equipment can be intelligent motion bracelet, intelligent wrist-watch, the intelligent helmet, wait intelligent terminal equipment, can include biochip among the above-mentioned wearable equipment, through this biochip, user's motion parameter and physiological parameter can be gathered through the mode that non-invasive detection to above-mentioned wearable equipment, it is required to explain, above-mentioned motion parameter can be for the user wearing above-mentioned wearable equipment then the data that the motion produced, for example, the step number that the user walked or ran, the number of sit up, dull and stereotyped time that supports etc.. The physiological parameter is a physiological parameter of a human body collected by the wearable device, such as heat, temperature, heart rate, sweat and the like of the human body. After the intelligent home central processing unit obtains the parameters of the user, the control unit 32 generates an air conditioner control instruction according to the user parameters (motion parameters and/or physiological parameters), and sends the instruction to the air conditioner for execution, wherein the instruction can control various parameters of the air conditioner, such as temperature, air output and the like.
Taking the sports bracelet as an example, the user uses the sports bracelet, parameters such as the number of steps of the user, the heat consumed by sports, the skin temperature, sweat, the heart rate and the like which are not limited to sports can be collected through the sports bracelet, it needs to be explained that the parameters can simultaneously comprise the sports parameters and the physiological parameters of the user, the sports bracelet uploads the parameters to the intelligent household central processing unit after collecting the parameters, and the intelligent household central processing unit can generate the sports analysis report of the user according to the parameters and then generates the air conditioner control command according to the sports analysis report to send the air conditioner. It should be noted that, the exercise analysis report may include both the exercise parameter and the physiological parameter data of the user, and may also include a recommendation report of parameter adjustment, for example, if the user generates too much heat, the temperature of the air conditioner needs to be decreased or the air output needs to be increased, for example, if the detected amount of the human body sweating data is large, the air blowing function of the air conditioner is turned off, and the central processing unit in the smart home may generate a control instruction of the air conditioner according to the recommendation report of parameter adjustment.
It should be noted that, according to the scheme, motion data or physiological data of a user are collected firstly, and then the air conditioner is controlled according to the data parameters, and as the motion data and the physiological data can reflect real-time conditions and body feeling of a human body most, the scheme controls the air conditioner according to user parameters by obtaining user parameters (motion parameters of the user and/or physiological parameters of the user) uploaded by the wearable device, and then the technical problem that in the prior art, the requirement of the user cannot be met accurately only according to collected environmental parameters and then the control mode of controlling the air conditioner cannot be met, and user experience is poor is solved.
It should be further explained that the wearable device in this scheme can send the collected parameters to the central processing unit in the intelligent home, and also can directly send the parameters to the air conditioner controller for processing.
Optionally, the number of the user parameters is multiple, wherein the control unit includes: the adjusting module is used for adjusting the weight proportion of the first parameter in the user parameters under the condition that the first parameter in the user parameters meets the preset condition; and the control module is used for controlling the air conditioner according to the adjusted weight proportion of each user parameter.
Optionally, the control module includes: the acquisition module is used for acquiring the operating parameters of the air conditioner in a preset time period; the generating module is used for generating initial target operation parameters of the air conditioner according to the adjusted weight proportion of each user parameter; the first conversion module is used for converting the initial target operation parameter into a final target operation parameter under the condition that the absolute value of the difference value between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to a preset threshold value, wherein the final target operation parameter is different from the initial target operation parameter.
Optionally, the obtaining unit includes: the first sub-acquisition module is used for acquiring real-time parameters uploaded by the wearable equipment; the second sub-acquisition module acquires parameters of a preset time period uploaded by the wearable device; and the determining module is used for determining the average value of the real-time parameters and the parameters of the preset time period as the user parameters.
Optionally, the control unit includes: the second conversion module is used for converting the operation mode of the air conditioner from the initial mode to the target mode; and/or the adjusting module is used for adjusting the operation parameters of the air conditioner under the condition that the operation mode of the air conditioner is not changed.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate article, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A control method of an air conditioner, characterized in that the method comprises:
obtaining user parameters uploaded by wearable equipment, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user;
and controlling the air conditioner according to the user parameters.
2. The method of claim 1, wherein the number of the user parameters is plural, and wherein controlling the air conditioner according to the user parameters comprises:
under the condition that a first parameter in the user parameters meets a preset condition, adjusting the weight proportion of the first parameter in the user parameters;
and controlling the air conditioner according to the adjusted weight proportion of each user parameter.
3. The method of claim 2, wherein controlling the air conditioner according to the adjusted weight ratio of each user parameter comprises:
acquiring operation parameters of the air conditioner in a preset time period;
generating an initial target operation parameter of the air conditioner according to the adjusted weight proportion of each user parameter;
and converting the initial target operation parameter into a final target operation parameter under the condition that the absolute value of the difference value between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to a preset threshold value, wherein the final target operation parameter is different from the initial target operation parameter.
4. The method of claim 1, wherein obtaining user parameters uploaded by a wearable device comprises:
acquiring real-time parameters uploaded by the wearable equipment;
acquiring parameters of a preset time period uploaded by the wearable device;
and determining the average value of the real-time parameters and the parameters of the preset time period as the user parameters.
5. The method of claim 1, wherein controlling the air conditioner according to the user parameter comprises:
converting an operation mode of the air conditioner from an initial mode to a target mode; and/or
And under the condition that the operation mode of the air conditioner is not changed, adjusting the operation parameters of the air conditioner.
6. A control apparatus of an air conditioner, characterized in that the apparatus comprises:
the acquiring unit is used for acquiring user parameters uploaded by the wearable device, wherein the user parameters at least comprise one of the following parameters: a motion parameter of the user or a physiological parameter of the user;
and the control unit is used for controlling the air conditioner according to the user parameters.
7. The apparatus of claim 6, wherein the number of the user parameters is plural, and wherein the control unit comprises:
the adjusting module is used for adjusting the weight proportion of a first parameter in the user parameters under the condition that the first parameter in the user parameters meets a preset condition;
and the control module is used for controlling the air conditioner according to the adjusted weight proportion of each user parameter.
8. The apparatus of claim 7, wherein the control module comprises:
the acquisition module is used for acquiring the operating parameters of the air conditioner in a preset time period;
the generating module is used for generating initial target operation parameters of the air conditioner according to the adjusted weight proportion of each user parameter;
the first conversion module is used for converting the initial target operation parameter into a final target operation parameter under the condition that the absolute value of the difference value between the initial target operation parameter and the operation parameter in the preset time period is greater than or equal to a preset threshold value, wherein the final target operation parameter is different from the initial target operation parameter.
9. The apparatus of claim 6, wherein the obtaining unit comprises:
the first sub-acquisition module is used for acquiring real-time parameters uploaded by the wearable device;
the second sub-acquisition module acquires parameters of a preset time period uploaded by the wearable device;
and the determining module is used for determining the real-time parameters and the average value of the parameters of the preset time period as the user parameters.
10. The apparatus of claim 6, wherein the control unit comprises:
the second conversion module is used for converting the operation mode of the air conditioner from an initial mode to a target mode; and/or
And the adjusting module is used for adjusting the operation parameters of the air conditioner under the condition that the operation mode of the air conditioner is not changed.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010923883.9A CN112161388B (en) | 2020-09-04 | 2020-09-04 | Control method and device of air conditioner |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010923883.9A CN112161388B (en) | 2020-09-04 | 2020-09-04 | Control method and device of air conditioner |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112161388A true CN112161388A (en) | 2021-01-01 |
CN112161388B CN112161388B (en) | 2021-11-23 |
Family
ID=73858482
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010923883.9A Active CN112161388B (en) | 2020-09-04 | 2020-09-04 | Control method and device of air conditioner |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112161388B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113310516A (en) * | 2021-05-25 | 2021-08-27 | 安徽安凯汽车股份有限公司 | Intelligent networking vehicle remote monitoring system |
CN113587413A (en) * | 2021-06-29 | 2021-11-02 | 重庆海尔空调器有限公司 | Control method and device for air conditioner and air conditioner |
CN113639438A (en) * | 2021-08-09 | 2021-11-12 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009058636A2 (en) * | 2007-10-31 | 2009-05-07 | Richard Goldmann | Programmatic climate control of an exercise environment |
CN104864558A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, device and terminal |
CN105700368A (en) * | 2016-01-29 | 2016-06-22 | 宇龙计算机通信科技(深圳)有限公司 | Intelligent home control method and device |
CN105807918A (en) * | 2016-03-03 | 2016-07-27 | 宇龙计算机通信科技(深圳)有限公司 | Control method, control device and wearable intelligent equipment |
CN107477963A (en) * | 2017-09-30 | 2017-12-15 | 合肥美的电冰箱有限公司 | Refrigerator and its control method |
WO2018058132A1 (en) * | 2016-09-26 | 2018-03-29 | Whirlpool Corporation | Controlled microclimate system |
WO2019046648A1 (en) * | 2017-08-31 | 2019-03-07 | Prodew, Inc. | Air treatment systems |
CN109974246A (en) * | 2019-04-17 | 2019-07-05 | 珠海格力电器股份有限公司 | Control method and control device of air conditioner and air conditioner |
JP2020024072A (en) * | 2018-08-08 | 2020-02-13 | 三菱電機株式会社 | Environment control system and air conditioner |
JP2020039443A (en) * | 2018-09-07 | 2020-03-19 | パナソニックIpマネジメント株式会社 | Air conditioning system |
CN111125129A (en) * | 2019-12-10 | 2020-05-08 | 珠海格力电器股份有限公司 | Data processing method and device, storage medium and processor |
CN111486560A (en) * | 2020-04-21 | 2020-08-04 | 海信(山东)空调有限公司 | Air conditioner and control method thereof |
-
2020
- 2020-09-04 CN CN202010923883.9A patent/CN112161388B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009058636A2 (en) * | 2007-10-31 | 2009-05-07 | Richard Goldmann | Programmatic climate control of an exercise environment |
CN104864558A (en) * | 2015-04-30 | 2015-08-26 | 广东美的制冷设备有限公司 | Air conditioner control method, device and terminal |
CN105700368A (en) * | 2016-01-29 | 2016-06-22 | 宇龙计算机通信科技(深圳)有限公司 | Intelligent home control method and device |
CN105807918A (en) * | 2016-03-03 | 2016-07-27 | 宇龙计算机通信科技(深圳)有限公司 | Control method, control device and wearable intelligent equipment |
WO2018058132A1 (en) * | 2016-09-26 | 2018-03-29 | Whirlpool Corporation | Controlled microclimate system |
WO2019046648A1 (en) * | 2017-08-31 | 2019-03-07 | Prodew, Inc. | Air treatment systems |
CN107477963A (en) * | 2017-09-30 | 2017-12-15 | 合肥美的电冰箱有限公司 | Refrigerator and its control method |
JP2020024072A (en) * | 2018-08-08 | 2020-02-13 | 三菱電機株式会社 | Environment control system and air conditioner |
JP2020039443A (en) * | 2018-09-07 | 2020-03-19 | パナソニックIpマネジメント株式会社 | Air conditioning system |
CN109974246A (en) * | 2019-04-17 | 2019-07-05 | 珠海格力电器股份有限公司 | Control method and control device of air conditioner and air conditioner |
CN111125129A (en) * | 2019-12-10 | 2020-05-08 | 珠海格力电器股份有限公司 | Data processing method and device, storage medium and processor |
CN111486560A (en) * | 2020-04-21 | 2020-08-04 | 海信(山东)空调有限公司 | Air conditioner and control method thereof |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113310516A (en) * | 2021-05-25 | 2021-08-27 | 安徽安凯汽车股份有限公司 | Intelligent networking vehicle remote monitoring system |
CN113587413A (en) * | 2021-06-29 | 2021-11-02 | 重庆海尔空调器有限公司 | Control method and device for air conditioner and air conditioner |
CN113587413B (en) * | 2021-06-29 | 2023-01-13 | 重庆海尔空调器有限公司 | Control method and device for air conditioner and air conditioner |
CN113639438A (en) * | 2021-08-09 | 2021-11-12 | 青岛海尔空调器有限总公司 | Method and device for controlling air conditioner and air conditioner |
Also Published As
Publication number | Publication date |
---|---|
CN112161388B (en) | 2021-11-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112161388B (en) | Control method and device of air conditioner | |
US10146193B2 (en) | Method for regulating primary frequency of power grid based on air conditioning load cluster in large building | |
CN108488987B (en) | Control method of air conditioning apparatus, storage medium, and apparatus | |
CN105650815B (en) | Air-conditioning fan inter-linked controlling method, apparatus and system | |
CN107490150B (en) | Control method for air outlet temperature of air conditioner and air conditioner | |
CN109506342A (en) | Air conditioner control method and device and air conditioner | |
US20210041121A1 (en) | Air-conditioner based on parameter learning using artificial intelligence, cloud server, and method of operating and controlling thereof | |
CN105546756A (en) | Air conditioner control method and device | |
CN105241004B (en) | Air conditioner control method and device and air conditioner | |
CN105276765B (en) | A kind of method and system using body type data control air-conditioning | |
CN104833063A (en) | Air conditioner control method and system | |
CN105180381A (en) | Air conditioner control method and air conditioner control equipment | |
CN105465955B (en) | A kind of weather linkage air conditioning control method | |
CN109269036B (en) | Cloud control method of multi-split air conditioner and multi-split air conditioner system | |
CN113339952A (en) | Air conditioning system | |
CN108592347A (en) | Air conditioner and its control method, control device and readable storage medium storing program for executing | |
CN111121239B (en) | Intelligent control method and system for intelligent household appliance and intelligent household appliance | |
CN105202705A (en) | Control method and device for air conditioner | |
CN112198853A (en) | Control method and device of intelligent household equipment | |
CN109283905A (en) | Control method, device and system | |
CN110687802A (en) | Intelligent household electrical appliance control method and intelligent household electrical appliance control device | |
CN111219857B (en) | Method and system for controlling air conditioner based on face dynamic information | |
CN110925942B (en) | Air conditioner control method and device | |
CN106705367A (en) | Control system, sleep control device, air conditioner and sleep control method of air conditioner | |
CN113834182A (en) | Intelligent household equipment control method |
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 |