CN112944620A - Air conditioner control method and device, storage medium and air conditioner - Google Patents
Air conditioner control method and device, storage medium and air conditioner Download PDFInfo
- Publication number
- CN112944620A CN112944620A CN202110198108.6A CN202110198108A CN112944620A CN 112944620 A CN112944620 A CN 112944620A CN 202110198108 A CN202110198108 A CN 202110198108A CN 112944620 A CN112944620 A CN 112944620A
- Authority
- CN
- China
- Prior art keywords
- air conditioner
- room
- data model
- temperature
- time
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 67
- 238000013499 data model Methods 0.000 claims abstract description 126
- 230000007613 environmental effect Effects 0.000 claims abstract description 73
- 230000006399 behavior Effects 0.000 claims description 24
- 238000012545 processing Methods 0.000 claims description 23
- 238000004378 air conditioning Methods 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 10
- 238000002474 experimental method Methods 0.000 claims description 8
- 238000005286 illumination Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 18
- 230000006870 function Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 7
- 238000007405 data analysis Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 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
- 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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
-
- 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
- F24F11/50—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
- F24F11/65—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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
-
- 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
- F24F2120/14—Activity of occupants
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides an air conditioner control method, an air conditioner control device, a storage medium and an air conditioner, wherein the method comprises the following steps: the method comprises the following steps of collecting environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner; a matching step, namely matching the acquired environmental parameters and the set parameters with a pre-stored data model to obtain the predicted time when the temperature of the room reaches the set temperature; wherein the data model comprises: the time required for the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters is saved; and a prompting step, namely prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained through matching. The scheme provided by the invention can predict the time length of the room where the air conditioner is located to reach the set temperature.
Description
Technical Field
The invention relates to the field of control, in particular to an air conditioner control method and device, a storage medium and an air conditioner.
Background
Along with the popularization of household air conditioners and the concept of internet smart home, the method is provided. The intelligent air conditioner also takes place at the same time. While the users seek the comfort level of the air conditioner, the users increasingly watch the intellectualization of the air conditioner. The conventional air conditioner can display only a preset temperature and cannot predict a time to reach the preset temperature.
Disclosure of Invention
The present invention is directed to overcome the above-mentioned drawbacks of the prior art, and provides an air conditioner control method, an air conditioner control device, a storage medium, and an air conditioner, so as to solve the problem that the air conditioner cannot predict the time to reach the set temperature in the prior art.
One aspect of the present invention provides an air conditioner control method, including: the method comprises the following steps of collecting environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner; a matching step, namely matching the acquired environmental parameters and the set parameters with a pre-stored data model to obtain the predicted time when the temperature of the room reaches the set temperature; wherein the data model comprises: the time required for the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters is saved; and a prompting step, namely prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained through matching.
Optionally, the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner; the method further comprises the following steps: recording the time for the temperature of the room in which the air conditioner is located to reach the set temperature in the current operation process; a processing step, which is used for forming a corresponding data model according to the acquired environmental parameters, the set parameters and the recorded time for reaching the set temperature; a storage step, namely uploading the formed data model to a database so as to update the data model stored in the database; and/or storing the formed data model into a preset storage space of the air conditioner so as to update the data model stored in the preset storage space.
Optionally, the environmental parameter includes: the volume of the room, the number of people in the room, the indoor temperature, the indoor humidity, the illumination condition of the room, the opening and closing degree of doors and windows, the outdoor temperature and/or the outdoor humidity; and/or, the data model, comprising: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments.
Optionally, prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained by matching, includes: and carrying out voice broadcast prompt on the predicted time, and/or displaying the predicted time through the air conditioner display panel and/or a remote controller display screen.
Optionally, the method further comprises: a receiving step, which is used for receiving the user behavior information sent by the mobile terminal: the user behavior information comprises: the distance between the user and the room where the air conditioner is located and the current moving speed of the user; a prediction step, which is used for predicting the time required by the corresponding user to reach the room where the air conditioner is located according to the received user behavior information; a first control step of controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching and the predicted time required for the corresponding user to reach the room where the air conditioner is located; and/or, an obtaining step, which is used for obtaining the preset user arrival time; and a second control step, which is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching and the obtained user arrival time.
Another aspect of the present invention provides an air conditioning control apparatus, including: the acquisition unit is used for acquiring environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner; the matching unit is used for matching the environmental parameters and the set parameters acquired by the acquisition unit with a pre-stored data model so as to obtain the predicted time when the temperature of the room reaches the set temperature; wherein the data model comprises: the time required for the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters is saved; and the prompting unit is used for prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained by matching of the matching unit.
Optionally, the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner; the method further comprises the following steps: the recording unit is used for recording the time for the temperature of the room in which the air conditioner is positioned to reach the set temperature in the current operation process; the processing unit is used for forming a corresponding data model according to the environmental parameters and the set parameters acquired by the acquisition unit and the time recorded by the recording unit for reaching the set temperature; the storage unit is used for uploading the data model formed by the processing unit to a database so as to update the data model stored in the database; and/or storing the data model formed by the processing unit into a preset storage space of the air conditioner so as to update the data model stored in the preset storage space.
Optionally, the environmental parameter includes: the volume of the room, the number of people in the room, the indoor temperature, the indoor humidity, the illumination condition of the room, the opening and closing degree of doors and windows, the outdoor temperature and/or the outdoor humidity; and/or, the data model, comprising: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments.
Optionally, the prompting unit is configured to prompt the predicted time when the temperature of the room where the air conditioner is located, which is obtained by matching with the matching unit, reaches the set temperature, and includes: and carrying out voice broadcast prompt on the predicted time, and/or displaying the predicted time through the air conditioner display panel and/or a remote controller display screen.
Optionally, the method further comprises: a receiving unit, configured to receive user behavior information sent by a mobile terminal: the user behavior information comprises: the distance between the user and the room where the air conditioner is located and the current moving speed of the user; the prediction unit is used for predicting the time required by the corresponding user to reach the room where the air conditioner is located according to the user behavior information received by the receiving unit; the first control unit is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching through the matching unit and the time, which is predicted by the prediction unit, of the corresponding user to reach the room where the air conditioner is located; and/or the acquisition unit is used for acquiring the preset user arrival time; and the second control unit is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching of the matching unit and the user arrival time obtained by the obtaining unit.
A further aspect of the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of any of the methods described above.
Yet another aspect of the present invention provides an air conditioner comprising a processor, a memory, and a computer program stored on the memory and operable on the processor, wherein the processor implements the steps of any of the methods described above when executing the program.
In another aspect, the invention provides an air conditioner, which comprises the air conditioner control device.
According to the technical scheme of the invention, because the traditional air conditioner can not predict the time length reaching the set temperature of the user, and the technical scheme of the invention predicts the time required for the room to reach the set temperature according to the collected environmental parameters and the set parameters, the problem can be effectively solved, and the effect of energy conservation can be achieved; by adopting the technical scheme of the invention, the initial data model for predicting the time required for reaching the set temperature is obtained through experiments, and the time required for reaching the set temperature of the room can be accurately predicted when the room runs for the first time; continuously collecting environmental parameters, setting parameters and the time for the room to reach the set temperature, and updating the data model, so that the data can be continuously calibrated in the future use; the data model can be stored in local and cloud platforms, and can be effectively predicted under the conditions of network existence and no network existence, so that the method is suitable for more scenes; not only is one environmental parameter collected, but also multi-dimensional environmental data is collected, real-time and comprehensive data analysis is carried out, and the accuracy is improved; the multidimensional data acquisition module is added to comprehensively acquire the environmental parameters, and an intelligent prediction mode is added under the condition of having all functions of the conventional air conditioner, so that a more intimate mode is brought to a user, and the user experience is improved.
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 specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of an embodiment of an air conditioner control method according to the present invention;
FIG. 2 illustrates the system components of the present invention;
FIG. 3 is a schematic diagram of an air conditioner control method according to another embodiment of the present invention;
FIG. 4 is a schematic flow chart of a data model formed by collecting environmental parameters, setting the parameters, and recording the time required to reach a set temperature according to an embodiment of the present invention;
FIG. 5 is a method diagram of a control method of an air conditioner according to another embodiment of the present invention;
FIG. 6 is a method diagram illustrating a control method of an air conditioner according to still another embodiment of the present invention;
FIG. 7 is a schematic diagram of an embodiment of a method for controlling an air conditioner according to the present invention;
fig. 8 is a block diagram illustrating an embodiment of an air conditioning control apparatus according to the present invention;
fig. 9 is a block diagram illustrating another embodiment of an air conditioning control apparatus according to the present invention;
fig. 10 is a block diagram illustrating a configuration of an air conditioning control apparatus according to still another embodiment of the present invention;
fig. 11 is a block diagram illustrating a configuration of an air conditioning control apparatus according to still another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
FIG. 2 shows the system components of the present invention, which as shown in FIG. 2 may comprise
A data acquisition module for acquiring ambient data and various sensors for acquiring various data including but not limited to: room area, the number of people in the room, indoor temperature, indoor humidity, room illumination conditions and door and window opening and closing conditions; meanwhile, local weather conditions are collected, accurate weather data such as outdoor temperature, humidity and wind speed are obtained, and the time for reaching the set temperature is recorded.
And the data processing module is used for processing the data acquired by the data acquisition module each time and forming a data model as the basic data of the database.
The data storage module carries the initial data model, parameters are not required to be determined through long-time data acquisition, time prediction can be carried out for the first time, the data model generated by the data processing module is stored locally, for example, in a memory chip, and calling is convenient to carry out later.
And the intelligent control module controls the air conditioner to operate and controls the display module to display after receiving the prediction information returned by the cloud platform database.
And the prediction display module is used for displaying the prediction data returned by the cloud platform database, and comprises a display panel, a voice prompt, a remote controller and the like.
A communication module: and uploading the data of the data model to a cloud platform database for permanent storage, continuously correcting the cloud platform data, improving the prediction accuracy, and returning the calculated prediction data to the air conditioner.
Fig. 1 is a schematic method diagram of an embodiment of an air conditioner control method provided by the present invention.
As shown in fig. 1, according to an embodiment of the present invention, the air conditioner control method at least includes a collecting step S110, a matching step S120, and a prompting step S130.
And a collecting step S110, configured to collect environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner.
Optionally, the environmental parameter may specifically include: the indoor environment comprises a room volume M, the number of people in the room P, an indoor temperature C1, an indoor humidity S1, a room illumination condition X, a door and window opening degree Y, an outdoor temperature C2 and/or an outdoor humidity S2. The room lighting X may be measured by a sensor, such as a photo-resistor; the opening and closing degree of the door and the window can be detected through a camera, for example. Through multi-dimensional environmental data acquisition, real-time and comprehensive data analysis is carried out, and the accuracy is improved. The setting parameters at least comprise a setting temperature. Optionally, the setting parameters may further include: the operation mode (e.g., cooling mode, heating mode) sets a wind speed (e.g., a gear).
For example, the volume M of the current room, the number P of people in the room, the indoor temperature C1, the indoor humidity S1, the room lighting condition X, and the opening and closing degree Y of the door and window are collected by the data collection module; meanwhile, local weather information is collected, and accurate weather parameters such as outdoor temperature C2 and outdoor humidity S2 are recorded, so that multiple environmental parameter information is obtained.
A matching step S120, configured to match the acquired environmental parameters and the setting parameters with a pre-stored data model, so as to obtain a predicted time when the temperature of the room reaches the setting temperature.
The data model may specifically include: and the time required for the temperature of the room where the air conditioner operates under different environmental parameters and set parameters to reach the set temperature. That is, a data model is formed and stored in advance for the time it takes for the temperature of the room where the air conditioner is operated under different loop parameters and setting parameters to reach the setting temperature (i.e., the air conditioner adjusts the temperature of the room where the air conditioner is located to the setting temperature). And matching the currently acquired environmental parameters and the setting parameters with a pre-stored data model, and calculating the data with the highest matching degree of the acquired environmental parameters and the setting parameters by matching so as to predict the time required by the temperature of the room to reach the setting temperature. Optionally, the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner. The database is, for example, a cloud database of a cloud data platform, and the data model is uploaded to the cloud data platform and stored in the cloud database.
Optionally, in a case that the air conditioner is connected to a network (for example, in a case that the network connection is normal), the acquired environmental parameters and the setting parameters are matched with a data model pre-stored in a database or pre-stored in a preset storage space of the air conditioner, so as to obtain a predicted time for the temperature of the room to reach the setting temperature, that is, a time required for the temperature of the room to reach the setting temperature. When the air conditioner is not connected with the network (for example, the air conditioner does not have the function of connecting with the network or has no network connection), the acquired environmental parameters and the set parameters are matched with a data model which is stored in a preset storage space of the air conditioner in advance, so that the prediction time when the temperature of the room reaches the set temperature, namely the time required by the temperature of the room to reach the set temperature, is obtained.
Optionally, the data model comprises: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments. Optionally, when the control scheme of the present invention is implemented for the first time, the acquired environmental parameters and the setting parameters are matched with a pre-stored initial data model, so as to obtain a predicted time for the temperature of the room to reach the setting temperature. Even if the user uses the air conditioner for the first time, the environmental parameters can be collected, and the time when the room temperature reaches the set temperature can be accurately predicted according to the collected environmental parameters and the running mode of the air conditioner.
And a prompting step S130, which is used for prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature.
Optionally, the prompting of the predicted time may specifically include voice broadcasting the predicted time, and/or displaying the predicted time through the air conditioner display panel and/or the remote controller display screen. For example, the time required for the temperature of the room to reach the set temperature (i.e. the predicted time) is broadcasted in a voice mode, the time required for the temperature of the room to reach the set temperature (i.e. the predicted time) is displayed through an air conditioner display panel and/or a remote controller display screen, and the time required for the temperature of the room to reach the set temperature can be displayed in a countdown mode.
Fig. 3 is a method schematic diagram of another embodiment of the air conditioner control method provided by the invention.
As shown in fig. 3, according to another embodiment of the present invention, the air conditioner controlling method further includes a recording step S140, a processing step S150, and a storing step S160.
And a recording step S140, for recording the time taken for the temperature of the room in which the air conditioner is located to reach the set temperature in the current operation process.
And a processing step S150, which is used for forming a corresponding data model according to the acquired environmental parameters, the setting parameters and the recorded time for reaching the setting temperature.
A storing step S160, configured to upload the formed data model to a database, so as to update the data model stored in the database; and/or storing the formed data model into a preset storage space of the air conditioner so as to update the data model stored in the preset storage space.
In some specific embodiments, the data model is stored in a database, and the formed data model is uploaded to the database to update the data model stored in the database, so that the data model stored in the database can be calibrated.
In other specific embodiments, the data model is stored in a preset storage space of the air conditioner, and the formed data model is stored in the preset storage space of the air conditioner to update the data model stored in the preset storage space. The data model is stored locally in the air conditioner, and if the air conditioner does not have a networking function or network communication is not available, the prediction time of the temperature of the room reaching the set temperature can be obtained by matching the acquired environmental parameters and the set parameters with the data model stored locally in the air conditioner.
Fig. 4 is a schematic flow chart illustrating the collection of environmental parameters, setting of parameters, and recording of time required to reach a set temperature to form a data model according to an embodiment of the present invention. As shown in fig. 4, a plurality of parameters of the environment and set parameters of the air conditioner are collected, the time T for the room temperature to reach the set temperature in the current operation process of the air conditioner is recorded, a data model is formed, and the data model is uploaded to a cloud platform database and used as a data model for predicting the time for the room temperature to reach the set temperature. And by collecting a large amount of data, the data of the database is corrected, and the prediction accuracy is improved.
Optionally, the acquiring step S110, the recording step S140, the processing step S150, and the storing step S160 are executed in a cycle according to a preset period, and the pre-stored data model is continuously corrected, so that the accuracy of prediction is ensured, and meanwhile, the subsequent prediction can be more and more accurate.
Fig. 5 is a method schematic diagram of a further embodiment of the air conditioner control method provided by the invention.
As shown in fig. 5, according to still another embodiment of the present invention, the air conditioning control method further includes a step S170, a prediction step S172, and a first control step S174.
Receiving step S170, configured to receive the user behavior information sent by the mobile terminal.
For example, the mobile phone APP collects user behavior information and sends the user behavior information to the air conditioner. The user behavior information may include: the distance between the user and the room where the air conditioner is located and the current moving speed of the user.
And a predicting step S172, configured to predict, according to the received user behavior information, time required for the corresponding user to reach the room where the air conditioner is located.
Specifically, the time required for the user to reach the room where the air conditioner is located, that is, the time required for the user to reach the home, may be calculated according to the distance between the user and the room where the air conditioner is located and the current moving speed of the user.
A first control step S174, configured to control whether the air conditioner starts a working mode according to the predicted time obtained through matching and the predicted time required for the corresponding user to reach the room where the air conditioner is located.
Specifically, whether the air conditioner starts a working mode is controlled according to the predicted time difference between the time required by the corresponding user to reach the room where the air conditioner is located and the predicted time obtained through matching. And controlling whether the air conditioner is in the operating mode or not when the difference between the predicted time required by the corresponding user to reach the room where the air conditioner is located and the matched predicted time is equal to 0, namely, when the predicted time T1 required by the corresponding user to reach the room where the air conditioner is located is equal to the matched predicted time T2.
For example, in one scenario of the present invention, under a normal network connection condition, a user performs real-time data acquisition on an environment through remote control by an air conditioner, the acquired data is uploaded to a cloud database, and is processed and analyzed to predict a time required for a room to reach a set temperature, and a data acquisition module receives user behavior information to predict a time required for the user to return home. When the time required for reaching the set temperature is predicted not to reach the predicted time required for the user to return home, the air conditioner is only in a preparation working stage, and when the time required for reaching the set temperature is predicted to be equal to the predicted time required for the user to return home, the working mode is actively started, so that the user can directly enjoy comfortable environment temperature after returning home, and meanwhile, the energy is saved.
Fig. 6 is a method schematic diagram of a further embodiment of the air conditioner control method provided by the invention.
As shown in fig. 6, according to still another embodiment of the present invention, the air conditioner controlling method further includes an obtaining step S180 and a second controlling step S182.
An obtaining step 180, configured to obtain a preset user arrival time.
Specifically, the user may set the time to home in advance.
A second control step 182, configured to control whether the air conditioner starts a working mode according to the predicted time obtained through matching and the obtained user arrival time.
Specifically, the remaining time between the current time and the user arrival time T1 is calculated according to the user arrival time, and whether the working mode of the air conditioner is started or not is controlled according to the time difference between the calculated remaining time between the current time and the user arrival time and the predicted time obtained through matching. When the time difference between the remaining time and the predicted time obtained by matching is equal to the predicted time T2 obtained by matching, that is, the remaining time between the current time and the time from the user to home is equal to the predicted time T8926 obtained by matching, whether the air conditioner is in the working mode is controlled to be started, that is, when the current time reaches T1-T2, the air conditioner starts to work, and the accuracy of prediction is ensured.
For clearly explaining the technical solution of the present invention, the following describes an execution flow of the air conditioner control method provided by the present invention with a specific embodiment.
Fig. 7 is a schematic method diagram of an embodiment of an air conditioner control method according to the present invention. As shown in fig. 7, after the air conditioner is started, the data acquisition module acquires environmental data, where the acquired data includes, but is not limited to, the following parameters: the current room volume M, the number of people in the room P, the room temperature C1, the room humidity S1, the room illumination X, and the door and window opening degree Y. Meanwhile, local weather information is collected, and accurate weather parameters such as outdoor temperature C2, outdoor humidity S2 and the like are recorded. According to the collected parameters, the data model which is matched with the most similar data model in the data models stored in the cloud platform database or the data models stored locally is used as a reference for operation, the time reaching the set temperature is predicted, the predicted data returned by the cloud platform is received through the communication module, or the data model which is matched with the most similar data model in the data models stored locally is used as a reference for operation, the time reaching the set temperature is predicted, the predicted display module carries out voice broadcast, and the display panel carries out countdown display. The data processing module processes and analyzes the acquired multi-parameter information, records the time when the current operation of the air conditioner reaches the set temperature, and generates a data model. And the communication module uploads the data model to a cloud database for storage to form a copy of data, and the database is calibrated. Or storing the data model to the local and updating the locally stored data model. And circularly acquiring data in a set period Z, and continuously comparing and correcting the data with a cloud database to ensure the accuracy of prediction in a complex environment.
In one scenario of the invention, when a user starts the air conditioner at home, the data acquisition module acquires the environmental parameters in real time, makes a time prediction for the operation, performs voice broadcast and performs countdown display on the display module at the same time. The user can clearly know the required time, and the user can have a better experience.
Fig. 8 is a block diagram of an embodiment of an air conditioning control apparatus according to the present invention. As shown in fig. 8, the air conditioner control device 100 includes a collection unit 110, a matching unit 120, and a prompt unit 130.
The collecting unit 110 is used for collecting the environmental parameters of the room where the air conditioner is located and the setting parameters of the air conditioner.
Optionally, the environmental parameter may specifically include: the indoor environment comprises a room volume M, the number of people in the room P, an indoor temperature C1, an indoor humidity S1, a room illumination condition X, a door and window opening degree Y, an outdoor temperature C2 and/or an outdoor humidity S2. The room lighting X may be measured by a sensor, such as a photo-resistor; the opening and closing degree of the door and the window can be detected through a camera, for example. Through multi-dimensional environmental data acquisition, real-time and comprehensive data analysis is carried out, and the accuracy is improved. The setting parameters at least comprise a setting temperature. Optionally, the setting parameters may further include: the operation mode (e.g., cooling mode, heating mode) sets a wind speed (e.g., a gear).
For example, the volume M of the current room, the number P of people in the room, the indoor temperature C1, the indoor humidity S1, the room lighting condition X, and the opening and closing degree Y of the door and window are collected by the data collection module; meanwhile, local weather information is collected, and accurate weather parameters such as outdoor temperature C2 and outdoor humidity S2 are recorded, so that multiple environmental parameter information is obtained.
The matching unit 120 is configured to match the environmental parameters and the setting parameters acquired by the acquisition unit 110 with a pre-stored data model, so as to obtain a predicted time when the temperature of the room reaches the setting temperature.
The data model may specifically include: and the time required for the temperature of the room where the air conditioner operates under different environmental parameters and set parameters to reach the set temperature. That is, a data model is formed and stored in advance for the time it takes for the temperature of the room where the air conditioner is operated under different loop parameters and setting parameters to reach the setting temperature (i.e., the air conditioner adjusts the temperature of the room where the air conditioner is located to the setting temperature). And matching the currently acquired environmental parameters and the setting parameters with a pre-stored data model, and calculating the data with the highest matching degree of the acquired environmental parameters and the setting parameters by matching so as to predict the time required by the temperature of the room to reach the setting temperature. Optionally, the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner. The database is, for example, a cloud database of a cloud data platform, and the data model is uploaded to the cloud data platform and stored in the cloud database.
Optionally, in a case that the air conditioner is connected to a network (for example, in a case that the network connection is normal), the acquired environmental parameters and the setting parameters are matched with a data model pre-stored in a database or pre-stored in a preset storage space of the air conditioner, so as to obtain a predicted time for the temperature of the room to reach the setting temperature, that is, a time required for the temperature of the room to reach the setting temperature. When the air conditioner is not connected with the network (for example, the air conditioner does not have the function of connecting with the network or has no network connection), the acquired environmental parameters and the set parameters are matched with a data model which is stored in a preset storage space of the air conditioner in advance, so that the prediction time when the temperature of the room reaches the set temperature, namely the time required by the temperature of the room to reach the set temperature, is obtained.
Optionally, the data model comprises: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments. Optionally, when the control scheme of the present invention is implemented for the first time, the acquired environmental parameters and the setting parameters are matched with a pre-stored initial data model, so as to obtain a predicted time for the temperature of the room to reach the setting temperature. Even if the user uses the air conditioner for the first time, the environmental parameters can be collected, and the time when the room temperature reaches the set temperature can be accurately predicted according to the collected environmental parameters and the running mode of the air conditioner.
The prompting unit 130 is configured to prompt the predicted time when the temperature of the room where the air conditioner is located, which is obtained by matching with the matching unit 120, reaches the set temperature.
Optionally, the prompting unit 130 may specifically prompt the predicted time by voice broadcasting, and/or display the predicted time through the air conditioner display panel and/or the remote controller display screen. For example, the time required for the temperature of the room to reach the set temperature (i.e. the predicted time) is broadcasted in a voice mode, the time required for the temperature of the room to reach the set temperature (i.e. the predicted time) is displayed through an air conditioner display panel and/or a remote controller display screen, and the time required for the temperature of the room to reach the set temperature can be displayed in a countdown mode.
Fig. 9 is a block diagram of another embodiment of the air conditioning control apparatus according to the present invention. As shown in fig. 9, according to another embodiment of the present invention, the air conditioning control device 100 further includes a recording unit 140, a processing unit 150, and a storage unit 160.
The recording unit 140 is configured to record a time taken for the temperature of the room in which the air conditioner is located to reach the set temperature in the current operation process.
The processing unit 150 is configured to form a corresponding data model according to the environmental parameters and the setting parameters acquired by the acquisition unit 110 and the time taken for the recording unit to reach the setting temperature.
The storage unit 160 is configured to upload the data model formed by the processing unit 150 to a database, so as to update the data model stored in the database; and/or storing the data model formed by the processing unit 150 into a preset storage space of the air conditioner to update the data model stored in the preset storage space.
In some specific embodiments, the data model is stored in a database, and the formed data model is uploaded to the database to update the data model stored in the database, so that the data model stored in the database can be calibrated.
In other specific embodiments, the data model is stored in a preset storage space of the air conditioner, and the formed data model is stored in the preset storage space of the air conditioner to update the data model stored in the preset storage space. The data model is stored locally in the air conditioner, and if the air conditioner does not have a networking function or network communication is not available, the prediction time of the temperature of the room reaching the set temperature can be obtained by matching the acquired environmental parameters and the set parameters with the data model stored locally in the air conditioner.
Optionally, the functions executed by the acquisition unit 110, the recording unit 140, the processing unit 150, and the storage unit 160 are cyclically executed according to a preset period, and the pre-stored data model is continuously corrected, so that the accuracy of prediction is ensured, and meanwhile, the subsequent prediction can be more and more accurate.
Fig. 10 is a block diagram showing a configuration of another embodiment of an air conditioning control apparatus according to the present invention. As shown in fig. 10, according to still another embodiment of the present invention, the air conditioning control apparatus 100 further includes a receiving unit 170, a prediction unit 172, and a first control unit 174.
The receiving unit 170 is configured to receive user behavior information sent by the mobile terminal.
For example, the mobile phone APP collects user behavior information and sends the user behavior information to the air conditioner. The user behavior information may include: the distance between the user and the room where the air conditioner is located and the current moving speed of the user.
The prediction unit 172 is configured to predict, according to the user behavior information received by the receiving unit 170, a time required for the corresponding user to reach the room where the air conditioner is located.
Specifically, the prediction unit 172 may calculate the time required for the user to reach the room where the air conditioner is located, that is, the time required for the user to reach home according to the distance between the user and the room where the air conditioner is located and the current moving speed of the user, for example, the time t required for the user to reach the room where the air conditioner is located may be estimated as S/v according to the distance S and the moving speed v.
The first control unit 174 is configured to control whether the air conditioner starts the working mode according to the predicted time obtained by matching by the matching unit 120 and the time, which is predicted by the prediction unit 172, required for the corresponding user to reach the room where the air conditioner is located.
Specifically, the first control unit 174 controls whether the air conditioner starts the operation mode according to a time difference between the predicted time required for the corresponding user to reach the room where the air conditioner is located and the predicted time obtained by matching. And controlling whether the air conditioner is in the operating mode or not when the difference between the predicted time required by the corresponding user to reach the room where the air conditioner is located and the matched predicted time is equal to 0, namely, when the predicted time T1 required by the corresponding user to reach the room where the air conditioner is located is equal to the matched predicted time T2.
For example, in one scenario of the present invention, under a normal network connection condition, a user performs real-time data acquisition on an environment through remote control by an air conditioner, the acquired data is uploaded to a cloud database, and is processed and analyzed to predict a time required for a room to reach a set temperature, and a data acquisition module receives user behavior information to predict a time required for the user to return home. When the time required for reaching the set temperature is predicted not to reach the predicted time required for the user to return home, the air conditioner is only in a preparation working stage, and when the time required for reaching the set temperature is predicted to be equal to the predicted time required for the user to return home, the working mode is actively started, so that the user can directly enjoy comfortable environment temperature after returning home, and meanwhile, the energy is saved.
Fig. 11 is a block diagram illustrating a configuration of an air conditioning control apparatus according to still another embodiment of the present invention. As shown in fig. 11, according to still another embodiment of the present invention, the air conditioning control apparatus 100 further includes an acquisition unit 180 and a second control unit 182.
The obtaining unit 180 is configured to obtain a preset user arrival time. Specifically, the user may set the time to home in advance.
The second control unit 182 is configured to control whether the air conditioner starts the working mode according to the predicted time obtained by matching in the matching unit 120 and the user arrival time obtained by the obtaining unit.
Specifically, the second control unit 182 calculates the remaining time between the current time and the user arrival time T1 according to the user arrival time, and controls whether the air conditioner is in the operating mode according to the time difference between the calculated remaining time between the current time and the user arrival time and the predicted time obtained by matching. When the time difference between the remaining time and the predicted time obtained by matching is equal to the predicted time T2 obtained by matching, that is, the remaining time between the current time and the time from the user to home is equal to the predicted time T8926 obtained by matching, whether the air conditioner is in the working mode is controlled to be started, that is, when the current time reaches T1-T2, the air conditioner starts to work, and the accuracy of prediction is ensured.
In another scenario of the invention, the local prediction mode is performed without a network connection. According to the preset parameters of the air conditioner and the time T1 of returning home, which are preset by a user, the ambient environment parameters are collected, the preset time T2 is calculated through comparison, and when the time T1-T2 is reached, the air conditioner automatically starts to work, so that the prediction accuracy is ensured.
The present invention also provides a storage medium corresponding to the air conditioning control method, having a computer program stored thereon, which when executed by a processor, performs the steps of any of the aforementioned methods.
The invention also provides an air conditioner corresponding to the air conditioner control method, which comprises a processor, a memory and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of any one of the methods when executing the program.
The invention also provides an air conditioner corresponding to the air conditioner control device, which comprises the air conditioner control device.
Therefore, according to the scheme provided by the invention, because the traditional air conditioner cannot predict the time length reaching the set temperature of the user, and the technical scheme of the invention predicts the time required for the room to reach the set temperature according to the collected environmental parameters and the set parameters, the problem can be effectively solved, and the effect of energy conservation can be achieved; by adopting the technical scheme of the invention, the initial data model for predicting the time required for reaching the set temperature is obtained through experiments, and the time required for reaching the set temperature of the room can be accurately predicted when the room runs for the first time; continuously collecting environmental parameters, setting parameters and the time for the room to reach the set temperature, and updating the data model, so that the data can be continuously calibrated in the future use; the data model can be stored in local and cloud platforms, and can be effectively predicted under the conditions of network existence and no network existence, so that the method is suitable for more scenes; not only is one environmental parameter collected, but also multi-dimensional environmental data is collected, real-time and comprehensive data analysis is carried out, and the accuracy is improved; the multidimensional data acquisition module is added to comprehensively acquire the environmental parameters, and an intelligent prediction mode is added under the condition of having all functions of the conventional air conditioner, so that a more intimate mode is brought to a user, and the user experience is improved.
The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Other examples and implementations are within the scope and spirit of the invention and the following claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or a combination of any of these. In addition, each functional unit may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
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 the parts serving as the control device 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.
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 above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (12)
1. An air conditioner control method, comprising:
the method comprises the following steps of collecting environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner;
a matching step, namely matching the acquired environmental parameters and the set parameters with a pre-stored data model to obtain the predicted time when the temperature of the room reaches the set temperature;
wherein the data model comprises: the time required for the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters is saved;
and a prompting step, namely prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained through matching.
2. The method according to claim 1, wherein the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner; the method further comprises the following steps:
recording the time for the temperature of the room in which the air conditioner is located to reach the set temperature in the current operation process;
a processing step, which is used for forming a corresponding data model according to the acquired environmental parameters, the set parameters and the recorded time for reaching the set temperature;
a storage step, namely uploading the formed data model to a database so as to update the data model stored in the database; and/or storing the formed data model into a preset storage space of the air conditioner so as to update the data model stored in the preset storage space.
3. The method of claim 1,
the environmental parameters comprise: the volume of the room, the number of people in the room, the indoor temperature, the indoor humidity, the illumination condition of the room, the opening and closing degree of doors and windows, the outdoor temperature and/or the outdoor humidity;
and/or the presence of a gas in the gas,
the data model, comprising: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments.
4. The method according to any one of claims 1 to 3, wherein the prompting of the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained by matching, comprises:
and carrying out voice broadcast prompt on the predicted time, and/or displaying the predicted time through the air conditioner display panel and/or a remote controller display screen.
5. The method according to any one of claims 1-3, further comprising:
a receiving step, which is used for receiving the user behavior information sent by the mobile terminal: the user behavior information comprises: the distance between the user and the room where the air conditioner is located and the current moving speed of the user;
a prediction step, which is used for predicting the time required by the corresponding user to reach the room where the air conditioner is located according to the received user behavior information;
a first control step of controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching and the predicted time required for the corresponding user to reach the room where the air conditioner is located;
and/or the presence of a gas in the gas,
an acquisition step, which is used for acquiring the preset user home arrival time;
and a second control step, which is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching and the obtained user arrival time.
6. An air conditioning control device, characterized by comprising:
the acquisition unit is used for acquiring environmental parameters of a room where the air conditioner is located and setting parameters of the air conditioner;
the matching unit is used for matching the environmental parameters and the set parameters acquired by the acquisition unit with a pre-stored data model so as to obtain the predicted time when the temperature of the room reaches the set temperature;
wherein the data model comprises: the time required for the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters is saved;
and the prompting unit is used for prompting the predicted time when the temperature of the room where the air conditioner is located reaches the set temperature, which is obtained by matching of the matching unit.
7. The device of claim 6, wherein the data model is stored in a database, and/or the data model is stored in a preset storage space of the air conditioner; the method further comprises the following steps:
the recording unit is used for recording the time for the temperature of the room in which the air conditioner is positioned to reach the set temperature in the current operation process;
the processing unit is used for forming a corresponding data model according to the environmental parameters and the set parameters acquired by the acquisition unit and the time recorded by the recording unit for reaching the set temperature;
the storage unit is used for uploading the data model formed by the processing unit to a database so as to update the data model stored in the database; and/or storing the data model formed by the processing unit into a preset storage space of the air conditioner so as to update the data model stored in the preset storage space.
8. The apparatus of claim 6,
the environmental parameters comprise: the volume of the room, the number of people in the room, the indoor temperature, the indoor humidity, the illumination condition of the room, the opening and closing degree of doors and windows, the outdoor temperature and/or the outdoor humidity;
and/or the presence of a gas in the gas,
the data model, comprising: and the initial data model is generated by measuring the time taken for the temperature of the room where the air conditioner is located to reach the set temperature under different environmental parameters and set parameters through experiments.
9. The apparatus according to any one of claims 6 to 8, wherein the prompting unit prompts a predicted time at which the temperature of the room in which the air conditioner is located, which is obtained by matching with the matching unit, reaches a set temperature, and includes:
and carrying out voice broadcast prompt on the predicted time, and/or displaying the predicted time through the air conditioner display panel and/or a remote controller display screen.
10. The apparatus of any of claims 6-8, further comprising:
a receiving unit, configured to receive user behavior information sent by a mobile terminal: the user behavior information comprises: the distance between the user and the room where the air conditioner is located and the current moving speed of the user;
the prediction unit is used for predicting the time required by the corresponding user to reach the room where the air conditioner is located according to the user behavior information received by the receiving unit;
the first control unit is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching through the matching unit and the time, which is predicted by the prediction unit, of the corresponding user to reach the room where the air conditioner is located;
and/or the presence of a gas in the gas,
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring preset user home arrival time;
and the second control unit is used for controlling whether the air conditioner starts a working mode or not according to the predicted time obtained by matching of the matching unit and the user arrival time obtained by the obtaining unit.
11. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
12. An air conditioner comprising a processor, a memory, and a computer program stored on the memory and operable on the processor, the processor implementing the steps of the method of any one of claims 1 to 5 when executing the program, or comprising the air conditioning control apparatus of any one of claims 6 to 10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110198108.6A CN112944620A (en) | 2021-02-22 | 2021-02-22 | Air conditioner control method and device, storage medium and air conditioner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110198108.6A CN112944620A (en) | 2021-02-22 | 2021-02-22 | Air conditioner control method and device, storage medium and air conditioner |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112944620A true CN112944620A (en) | 2021-06-11 |
Family
ID=76245252
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110198108.6A Pending CN112944620A (en) | 2021-02-22 | 2021-02-22 | Air conditioner control method and device, storage medium and air conditioner |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112944620A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113819607A (en) * | 2021-09-15 | 2021-12-21 | 青岛海尔空调器有限总公司 | Intelligent control method and device for air conditioner, air conditioner and electronic equipment |
| CN114322217A (en) * | 2021-08-31 | 2022-04-12 | 海信家电集团股份有限公司 | Air conditioner and automatic temperature control method thereof |
| CN114838489A (en) * | 2022-04-24 | 2022-08-02 | 海安亦奇家具有限公司 | Intelligent household air conditioner control system based on position detection |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104977867A (en) * | 2015-06-30 | 2015-10-14 | 青岛海尔智能家电科技有限公司 | Control method and apparatus of intelligent household electrical appliances, and mobile terminal |
| WO2017208398A1 (en) * | 2016-06-01 | 2017-12-07 | 三菱電機株式会社 | Air conditioner control device |
| CN107975919A (en) * | 2017-11-21 | 2018-05-01 | 广东美的暖通设备有限公司 | Air-conditioning system, the control method of air-conditioning system and device |
| CN107975918A (en) * | 2017-11-21 | 2018-05-01 | 广东美的暖通设备有限公司 | Air-conditioning system, the control method of air-conditioning system and device |
| CN108880957A (en) * | 2018-06-14 | 2018-11-23 | 广东美的制冷设备有限公司 | Household appliance and its long-range control method, server, terminal control equipment |
| CN111623497A (en) * | 2020-02-20 | 2020-09-04 | 上海朗绿建筑科技股份有限公司 | Radiation air conditioner precooling and preheating method and system, storage medium and radiation air conditioner |
| CN111964215A (en) * | 2020-07-02 | 2020-11-20 | 宁波奥克斯电气股份有限公司 | Reserved starting method, control device and air conditioner |
| CN112283889A (en) * | 2020-10-10 | 2021-01-29 | 广东美的暖通设备有限公司 | Method, device and equipment for controlling pre-starting time of air conditioner and storage medium |
-
2021
- 2021-02-22 CN CN202110198108.6A patent/CN112944620A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104977867A (en) * | 2015-06-30 | 2015-10-14 | 青岛海尔智能家电科技有限公司 | Control method and apparatus of intelligent household electrical appliances, and mobile terminal |
| WO2017208398A1 (en) * | 2016-06-01 | 2017-12-07 | 三菱電機株式会社 | Air conditioner control device |
| CN107975919A (en) * | 2017-11-21 | 2018-05-01 | 广东美的暖通设备有限公司 | Air-conditioning system, the control method of air-conditioning system and device |
| CN107975918A (en) * | 2017-11-21 | 2018-05-01 | 广东美的暖通设备有限公司 | Air-conditioning system, the control method of air-conditioning system and device |
| CN108880957A (en) * | 2018-06-14 | 2018-11-23 | 广东美的制冷设备有限公司 | Household appliance and its long-range control method, server, terminal control equipment |
| CN111623497A (en) * | 2020-02-20 | 2020-09-04 | 上海朗绿建筑科技股份有限公司 | Radiation air conditioner precooling and preheating method and system, storage medium and radiation air conditioner |
| CN111964215A (en) * | 2020-07-02 | 2020-11-20 | 宁波奥克斯电气股份有限公司 | Reserved starting method, control device and air conditioner |
| CN112283889A (en) * | 2020-10-10 | 2021-01-29 | 广东美的暖通设备有限公司 | Method, device and equipment for controlling pre-starting time of air conditioner and storage medium |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114322217A (en) * | 2021-08-31 | 2022-04-12 | 海信家电集团股份有限公司 | Air conditioner and automatic temperature control method thereof |
| CN113819607A (en) * | 2021-09-15 | 2021-12-21 | 青岛海尔空调器有限总公司 | Intelligent control method and device for air conditioner, air conditioner and electronic equipment |
| CN114838489A (en) * | 2022-04-24 | 2022-08-02 | 海安亦奇家具有限公司 | Intelligent household air conditioner control system based on position detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110410964B (en) | Control method and control system of air conditioner | |
| CN112944620A (en) | Air conditioner control method and device, storage medium and air conditioner | |
| US10030884B2 (en) | Auto-configuring time-of-day for building control unit | |
| CN108205282B (en) | Intelligent control panel and control method and control device thereof | |
| CN108488987B (en) | Control method of air conditioning apparatus, storage medium, and apparatus | |
| US9429962B2 (en) | Auto-configuring time-of day for building control unit | |
| CN107883536B (en) | Parameter adjusting method and device of air conditioning equipment and terminal | |
| CN110308660B (en) | Intelligent equipment control method and device | |
| CN104913440A (en) | Air-conditioner comfort control method | |
| CN108061359B (en) | Air conditioner control method and device | |
| JPWO2006092983A1 (en) | Electronic device control apparatus, electronic device control method, electronic device control program, and computer-readable recording medium recording electronic device control program | |
| CN109358546B (en) | Control method, device and system of household appliance | |
| CN111651862B (en) | Air conditioner, method and device for determining installation position of air conditioner, storage medium and mobile terminal | |
| CN110726209B (en) | Air conditioner control method and device, storage medium and processor | |
| CN103577662A (en) | Method and device for determining electricity consumption condition or environmental condition of household electrical appliances | |
| CN113339965A (en) | Method and device for air conditioner control and air conditioner | |
| CN114442697A (en) | Temperature control method, equipment, medium and product | |
| CN113934926A (en) | Recommendation method and device for interactive scene and electronic equipment | |
| CN114755931A (en) | Control instruction prediction method and device, storage medium and electronic device | |
| CN104266312A (en) | Air conditioner and control method and system thereof | |
| CN111043733B (en) | Air conditioner air supply mode control method based on spatial layout characteristics and air conditioner | |
| CN111089388A (en) | Method and system for controlling air conditioner, air conditioner and household appliance | |
| CN110736241B (en) | Method and device for controlling air conditioning equipment | |
| CN114488837A (en) | Control method and device of intelligent household equipment, storage medium and equipment | |
| CN111397112B (en) | Air conditioner control method, device, server and computer readable storage medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210611 |
|
| RJ01 | Rejection of invention patent application after publication |