CN107831677B - Electric heater and control method and device thereof, storage medium and processor - Google Patents
Electric heater and control method and device thereof, storage medium and processor Download PDFInfo
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- CN107831677B CN107831677B CN201710998171.1A CN201710998171A CN107831677B CN 107831677 B CN107831677 B CN 107831677B CN 201710998171 A CN201710998171 A CN 201710998171A CN 107831677 B CN107831677 B CN 107831677B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1096—Arrangement or mounting of control or safety devices for electric heating systems
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D2200/00—Heat sources or energy sources
- F24D2200/08—Electric heater
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Abstract
The invention discloses an electric heater, a control method and a control device thereof, a storage medium and a processor. The method comprises the following steps: acquiring first temperature information of a target object, wherein the first temperature information is used for indicating the current temperature of the target object; using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture. According to the invention, the effect of improving the control efficiency of the electric heater is achieved.
Description
Technical Field
The invention relates to the field of electric heaters, in particular to an electric heater and a control method and device thereof, a storage medium and a processor.
Background
Currently, conventional electric heaters are provided with buttons or knobs. When the electric heater is adjusted, the electric heater is adjusted by means of operation of a button or a knob. This requires the user to approach the button or knob to adjust it, which is inconvenient. In addition, under the higher condition of temperature of electric heater, because the user is close to the electric heater and adjusts button or knob, scald the user still easily, lead to the problem of the control inefficiency of electric heater.
To the problem of the control inefficiency of electric heater among the prior art, at present, effectual solution has not been proposed yet.
Disclosure of Invention
The invention mainly aims to provide an electric heater, a control method and a control device thereof, a storage medium and a processor, and at least solves the problem of low control efficiency of the electric heater.
In order to achieve the above object, according to an aspect of the present invention, there is provided a control method of an electric heater. The method comprises the following steps: acquiring first temperature information of a target object, wherein the first temperature information is used for indicating the current temperature of the target object; using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
Optionally, acquiring the first temperature information of the target object comprises: acquiring image information of a target object, wherein the image information comprises first temperature information; and identifying the image information to obtain first temperature information.
Optionally, acquiring the first temperature information of the target object comprises: acquiring infrared information of a target object, wherein the infrared information comprises first temperature information; and identifying the infrared information to obtain first temperature information.
Optionally, analyzing the first temperature information by using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using a first model, and determining a first target gesture for controlling the power of the electric heater, wherein the target gesture comprises the first target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute a first target operation corresponding to the first target gesture through the first target gesture, wherein the target operation comprises the first target operation, and the first target operation is used for controlling the power of the electric heater.
Optionally, analyzing the first temperature information by using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using a first model, and determining a second target gesture for controlling the working time of the electric heater, wherein the target gesture comprises the second target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute a second target operation corresponding to the second target gesture through the second target gesture, wherein the target operation comprises the second target operation, and the second target operation is used for controlling the working time of the electric heater.
Optionally, analyzing the first temperature information by using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using the first model, and determining a third target gesture for controlling the wind direction of the electric heater, wherein the target gesture comprises the third target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute third target operation corresponding to the three target gestures through the third target gesture, wherein the target operation comprises the third target operation, and the third target operation is used for controlling the wind direction of the electric heater.
Optionally, after acquiring the first temperature information of the target object, the method further includes: and under the condition that the temperature indicated by the first temperature information meets the target condition, outputting prompt information, wherein the prompt information is used for indicating that the electric heater needs to be adjusted.
Optionally, before analyzing the first temperature information by using the first model and determining the target gesture for controlling the electric heater, the method further includes: establishing an initial detection model, wherein the initial detection model is used for machine learning training; acquiring a plurality of groups of data, wherein each group of data in the plurality of groups of data further comprises temperature information and gesture information; and training the initial detection model by using multiple groups of data to obtain a first model.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a control apparatus of an electric heater. The device includes: the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring first temperature information of a target object, and the first temperature information is used for indicating the current temperature of the target object; the determining unit is used for analyzing the first temperature information by using a first model and determining a target gesture for controlling the electric heater, wherein the first temperature information corresponds to the target gesture, the first model is trained by machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and the control unit is used for controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a storage medium. The storage medium comprises a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute the control method of the electric heater in the embodiment of the invention.
To achieve the above object, according to another aspect of the present invention, there is also provided a processor. The processor is used for running a program, wherein the program is used for executing the control method of the electric heater in the embodiment of the invention when running.
In order to achieve the above object, according to another aspect of the present invention, there is also provided an electric heater. This electric heater includes: the information acquisition device is used for acquiring first temperature information of the target object, wherein the first temperature information is used for indicating the current temperature of the target object; the processor runs the program, wherein the program runs the following processing steps to the first temperature information output from the information acquisition device: using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
In order to achieve the above object, according to another aspect of the present invention, there is also provided an electric heater. This electric heater includes: the information acquisition device is used for acquiring first temperature information of the target object, wherein the first temperature information is used for indicating the current temperature of the target object; a storage medium for storing a program, wherein the program performs the following processing steps for first temperature information output from the information acquisition apparatus when running: using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
The embodiment collects first temperature information of a target object, wherein the first temperature information is used for indicating the current temperature of the target object; using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture. Because through the first temperature information of gathering the target object, obtain the target gesture corresponding with first temperature information by the first model that the training obtained, and then control the electric heater and carry out the operation that corresponds with the target gesture, solved the problem that the control efficiency of electric heater is low, and then reached the effect that improves the control efficiency of electric heater.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, 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 flowchart of a control method of an electric heater according to an embodiment of the present invention;
fig. 2 is a control device of an electric heater according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electric heater according to an embodiment of the present invention; and
fig. 4 is a schematic diagram of an electric heater according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. 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.
Example 1
The embodiment of the invention provides a control method of an electric heater.
Fig. 1 is a flowchart of a control method of an electric heater according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step S102, collecting first temperature information of a target object.
In the technical solution provided in the above step S102 of the present application, first temperature information of a target object is acquired, where the first temperature information is used to indicate a current temperature of the target object.
In this embodiment, the target object may be a place where the user stays for a long time, for example, a room or the like. The method comprises the steps of acquiring first temperature information of a target object, wherein the first temperature information can be used for indicating the current temperature of the target object, and determining whether the current temperature of the target object is a proper temperature which is comfortable for a user or not through the first temperature information.
Alternatively, when the first temperature information of the target object is acquired, the first temperature information of the target object may be identified by acquiring image information of the target object, may also be identified by infrared, and the like.
And step S104, analyzing the first temperature information by using the first model, and determining a target gesture for controlling the electric heater.
In the technical solution provided in the above step S104 of the present application, a first model is used to analyze first temperature information, and a target gesture for controlling an electric heater is determined, where the first temperature information corresponds to the target gesture, the first model is trained through machine learning by using multiple sets of data, and each set of data in the multiple sets of data includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture.
After the first temperature information of the target object is collected, the first temperature information can be analyzed by using the first model, whether the current temperature of the target object indicated by the first temperature information needs to be further adjusted or not is determined, and under the condition that the current temperature of the target object needs to be further adjusted, a user is prompted to need to adjust the temperature, so that a target gesture for controlling the electric heater is determined, the target gesture is made by the user, optionally, as long as the user makes a gesture similar to the target gesture in a certain range, the user can be considered to make the target gesture, and therefore the condition that the user needs to be close to the electric heater to adjust the electric heater by means of a button or a knob is avoided.
Optionally, when it is determined that the current temperature of the target object indicated by the first temperature information needs to be increased, determining that the gesture that the user needs to make at this time is a gesture in which the palm is opened; when it is determined that the current temperature of the target object indicated by the first temperature information needs to be adjusted to be low, it is determined that the gesture that the user needs to make at this time is a fist making gesture, and no limitation is made to the target gesture here.
Alternatively, the target gesture for controlling the electric heater may be a gesture for controlling heating power of the electric heater, a gesture for controlling heating time of the electric heater, a gesture for controlling wind direction of the electric heater, and the like, without any limitation herein.
The first model of this embodiment is trained through machine learning using multiple sets of data, where the multiple sets of data may be a large amount of sample data collected in advance, and each set of data in the multiple sets of data includes: the gesture recognition method comprises the steps of collecting temperature information, gesture information and the corresponding relation between the temperature indicated by the temperature information and the gesture indicated by the gesture information in advance. Optionally, the temperature indicated by the pre-collected temperature information is not within the suitable temperature range, which is the temperature that needs to be adjusted. For example, each set of data collected in advance includes temperature information for indicating a low temperature, temperature information for indicating a high temperature, information for indicating temperatures of different values, a great amount of information such as a gesture corresponding to the temperature information for indicating a low temperature, a gesture corresponding to the temperature information for indicating a high temperature, and a gesture corresponding to the information for indicating a temperature of a different value, and a label of a correspondence relationship between the temperature indicated by the temperature information and the gesture indicated by the gesture information.
And S106, controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
In the technical solution provided in the above step S106, the electric heater is controlled by the target gesture to execute the target operation corresponding to the target gesture.
Using first model to carry out the analysis to first temperature information, confirm after being used for controlling the target gesture of electric heater, can indicate the user to need to pass through target gesture control electric heater, at this time the user is according to the needs of oneself, can make the gesture to the electric heater, the electric heater is through gathering the image information and the discernment of the gesture that the user made, if the gesture that the discernment user made is the target gesture, then control the electric heater and carry out the target operation that corresponds with this target gesture, this target operation can be for the heating power of the control electric heater that corresponds with the target gesture, the heating time of control electric heater, the operation of the wind direction of control electric heater etc., do not any restriction here, thereby make the electric heater adjust convenient and safety, the travelling comfort that the electric heater used has been improved, the problem of inconvenient and easy scald of electric heater regulation has been.
The embodiment collects first temperature information of a target object, wherein the first temperature information is used for indicating the current temperature of the target object; using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture. Because through the first temperature information of gathering the target object, obtain the target gesture corresponding with first temperature information by the first model that the training obtained, and then control the electric heater and carry out the operation that corresponds with the target gesture, solved the problem that the control efficiency of electric heater is low to the effect that has reached the control efficiency who improves the electric heater.
As an optional implementation manner, in step S102, acquiring the first temperature information of the target object includes: acquiring image information of a target object, wherein the image information comprises first temperature information; and identifying the image information to obtain first temperature information.
In this embodiment, when acquiring the first temperature information of the target object, image information of the target object, for example, image information of a room, may be acquired. The image information comprises first temperature information, for example, the image information is an imaging result of infrared rays emitted by a target object, the distribution condition of the temperature of the target object can be judged, so that the image information is recognized, the first temperature information is obtained, then the first temperature information is analyzed by using a first model, a target gesture used for controlling the electric heater is determined, the electric heater is controlled by the target gesture to execute target operation corresponding to the target gesture, and the effect of improving the control efficiency of the electric heater is achieved.
As an optional implementation manner, in step S102, acquiring the first temperature information of the target object includes: acquiring infrared information of a target object, wherein the infrared information comprises first temperature information; and identifying the infrared information to obtain first temperature information.
In this embodiment, when the first temperature information of the target object is collected, the infrared information includes the first temperature information, the infrared information can be imaged and displayed as an image, the infrared information is identified through the displayed image, so that the first temperature information is obtained, the first temperature information is analyzed by using the first model, the target gesture for controlling the electric heater is determined, the electric heater is controlled by the target gesture to execute the target operation corresponding to the target gesture, and the effect of improving the control efficiency of the electric heater is achieved.
As an alternative implementation, in step S104, analyzing the first temperature information by using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using a first model, and determining a first target gesture for controlling the power of the electric heater, wherein the target gesture comprises the first target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute a first target operation corresponding to the first target gesture through the first target gesture, wherein the target operation comprises the first target operation, and the first target operation is used for controlling the power of the electric heater.
In this embodiment, when the electric heater is adjusted, the power of the electric heater may be controlled, and the temperature of the target object may be adjusted by controlling the power of the electric heater. The first temperature information can be analyzed by using the first model, and under the condition that the power of the electric heater needs to be controlled, a user is prompted to control the power of the electric heater, and a first target gesture for controlling the power of the electric heater is determined. The user makes the gesture the same as the first target gesture according to the suggestion, at this moment, the electric heater gathers the gesture that the user made, under the condition that the gesture that the user made is first target gesture, control electric heater and carry out the first target operation that corresponds with first target gesture, that is, control electric heater and carry out the operation of control power, can be for the operation of increase power, or reduce the operation of power, for example, when first target gesture is five-finger upward gesture, then control electric heater and carry out the operation of increase power, when first target gesture is five-finger downward gesture, then control electric heater and carry out the operation of reducing the power, do not any restriction to first target gesture here. When the gesture made by the user is not the first target gesture, the power of the electric heater is stopped to be controlled, and therefore the effect of improving the control efficiency of the electric heater is achieved.
As an optional implementation, analyzing the first temperature information using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using a first model, and determining a second target gesture for controlling the working time of the electric heater, wherein the target gesture comprises the second target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute a second target operation corresponding to the second target gesture through the second target gesture, wherein the target operation comprises the second target operation, and the second target operation is used for controlling the working time of the electric heater.
In this embodiment, when the electric heater is adjusted, the operating time of the electric heater may be controlled, and the temperature of the target object may be adjusted by controlling the operating time of the electric heater. The first temperature information can be analyzed by using the first model, and under the condition that the working time of the electric heater needs to be controlled, a user is prompted to control the working time of the electric heater, and a second target gesture for controlling the power of the electric heater is determined. The user makes the gesture the same as the second target gesture according to the prompt, at this moment, the electric heater collects the gesture made by the user, and under the condition that the gesture made by the user is the second target gesture, the electric heater is controlled to execute the second target operation corresponding to the second target gesture, that is, the electric heater is controlled to execute the operation of controlling the power, the operation of increasing the power can be performed, or the operation of reducing the power can be performed, for example, when the second target gesture is a five-finger upward gesture, the electric heater is controlled to execute the operation of increasing the working time, when the second target gesture is a five-finger downward gesture, the electric heater is controlled to execute the operation of reducing the working time, and no limitation is made to the second target gesture. When the gesture made by the user is not the second target gesture, the working time of the electric heater is stopped to improve the control efficiency of the electric heater.
As an optional implementation, analyzing the first temperature information using the first model, and determining the target gesture for controlling the electric heater includes: analyzing the first temperature information by using the first model, and determining a third target gesture for controlling the wind direction of the electric heater, wherein the target gesture comprises the third target gesture; the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture comprises the following steps: and controlling the electric heater to execute third target operation corresponding to the three target gestures through the third target gesture, wherein the target operation comprises the third target operation, and the third target operation is used for controlling the wind direction of the electric heater.
In this embodiment, when adjusting the electric heater, the wind direction of the electric heater can be controlled, and the temperature of the target object is adjusted by controlling the working time of the electric heater. The first temperature information can be analyzed by using the first model, and under the condition that the wind direction of the electric heater needs to be controlled, a user is prompted to control the wind direction of the electric heater, and a third target gesture for controlling the power of the electric heater is determined. The user makes the gesture the same as the third target gesture according to the prompt, at this moment, the electric heater collects the gesture made by the user, and under the condition that the gesture made by the user is the third target gesture, the electric heater is controlled to execute the third target operation corresponding to the third target gesture, that is, the electric heater is controlled to execute the operation of controlling the wind direction, the operation of adjusting the wind direction upwards can be performed, or the operation of adjusting the wind direction downwards can be performed, for example, when the third target gesture is a five-finger upwards gesture, the electric heater is controlled to execute the operation of adjusting the wind direction upwards, and when the third target gesture is a five-finger downwards gesture, the electric heater is controlled to execute the operation of adjusting the wind direction downwards, and no limitation is made to the third target gesture. When the gesture made by the user is not the third target gesture, the working time of the electric heater is stopped to improve the control efficiency of the electric heater.
As an optional implementation manner, after acquiring the first temperature information of the target object at step S102, the method further includes: and under the condition that the temperature indicated by the first temperature information meets the target condition, outputting prompt information, wherein the prompt information is used for indicating that the electric heater needs to be adjusted.
In this embodiment, after acquiring the first temperature information of the target object, it is determined whether the temperature indicated by the first temperature information meets a target condition, which may be a condition whether the temperature indicated by the first temperature information exceeds the suitable temperature range. Under the condition that the temperature indicated by the first temperature information meets the target condition, for example, under the condition that the temperature indicated by the first temperature information exceeds the suitable temperature range, the prompt information is output, and the prompt information can be prompt information in a voice form, prompt information in a voice plus character form, prompt information in a light form and the like, and no limitation is made here, so that the user is prompted to adjust the electric heater.
Optionally, the prompt message of this embodiment can be used to prompt the user of the target gesture that needs to be made, so that the user of the target gesture makes the target gesture, and the electric heater is adjusted through the target gesture, thereby avoiding adjusting the electric heater through a button or a knob, and achieving the effect of improving the control efficiency of the electric heater.
As an optional implementation manner, before analyzing the first temperature information by using the first model and determining the target gesture for controlling the electric heater, the method further includes: establishing an initial detection model, wherein the initial detection model is used for machine learning training; acquiring a plurality of groups of data, wherein each group of data in the plurality of groups of data further comprises temperature information and gesture information; and training the initial detection model by using multiple groups of data to obtain a first model.
Optionally, in this embodiment, the initial detection model may be an initial neural network model. Before the first temperature information is analyzed by using the first model and a target gesture for controlling the electric heater is determined, an initial neural network model can be established, multiple groups of data are acquired from a large number of target areas, namely, the temperature information, the gesture information and labels of corresponding relations between the temperature indicated by the temperature information and the gesture indicated by the gesture information are acquired, the initial detection model can be trained by using the processed multiple groups of data, and the trained first model is obtained.
Through the scheme, the first model can be obtained through a machine learning mode by utilizing multi-group data training, the information of the first object is analyzed through the trained first model, the first temperature information is analyzed, the target gesture used for controlling the electric heater is determined, the target operation corresponding to the target gesture is executed by controlling the electric heater through the target gesture, the electric heater is controlled, the comfort of the electric heater is improved, and the effect of improving the control efficiency of the electric heater is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example 2
The embodiment of the invention also provides a control device of the electric heater. It should be noted that the control device of the electric heater of this embodiment may be used to execute the control method of the electric heater of the embodiment of the present invention.
Fig. 2 is a control device of an electric heater according to an embodiment of the present invention. As shown in fig. 2, the control device of the electric heater includes: an acquisition unit 10, a determination unit 20 and a control unit 30.
The temperature control device comprises an acquisition unit 10, configured to acquire first temperature information of a target object, where the first temperature information is used to indicate a current temperature of the target object.
The determining unit 20 is configured to analyze the first temperature information by using a first model, and determine a target gesture for controlling the electric heater, where the first temperature information corresponds to the target gesture, the first model is trained by machine learning by using multiple sets of data, and each set of data in the multiple sets of data includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture.
And a control unit 30 for controlling the electric heater to perform a target operation corresponding to the target gesture through the target gesture.
The acquisition unit 10 includes: the device comprises a first acquisition module and a first identification module. The first acquisition module is used for acquiring image information of a target object, wherein the image information comprises first temperature information; the first identification module is used for identifying the image information to obtain first temperature information.
Optionally, the acquisition unit 10 comprises: the second acquisition module and the second identification module. The second acquisition module is used for acquiring infrared information of the target object, wherein the infrared information comprises first temperature information; and the second identification module is used for identifying the infrared information to obtain first temperature information.
Optionally, the determining unit 20 includes: the first determining module is used for analyzing the first temperature information by using a first model and determining a first target gesture for controlling the power of the electric heater, wherein the target gesture comprises the first target gesture; the control unit 30 includes: the first control module is used for controlling the electric heater to execute first target operation corresponding to the first target gesture through the first target gesture, wherein the target operation comprises first target operation, and the first target operation is used for controlling the power of the electric heater.
Optionally, the determining unit 20 includes: the second determining module is used for analyzing the first temperature information by using the first model and determining a second target gesture for controlling the working time of the electric heater, wherein the target gesture comprises the second target gesture; the control unit 30 includes: and the second control module is used for controlling the electric heater to execute second target operation corresponding to the second target gesture through the second target gesture, wherein the target operation comprises second target operation, and the second target operation is used for controlling the working time of the electric heater.
Optionally, the determining unit 20 includes: the third determining module is used for analyzing the first temperature information by using the first model and determining a third target gesture for controlling the wind direction of the electric heater, wherein the target gesture comprises the third target gesture; the control unit 30 includes: and the third control module is used for controlling the electric heater to execute third target operation corresponding to the three target gestures through a third target gesture, wherein the target operation comprises third target operation, and the third target operation is used for controlling the wind direction of the electric heater.
Optionally, the apparatus further comprises: the output unit is used for outputting prompt information under the condition that the temperature indicated by the first temperature information meets the target condition after the first temperature information of the target object is collected, wherein the prompt information is used for indicating that the electric heater needs to be adjusted.
Optionally, the apparatus further comprises: the device comprises a building unit, an acquisition unit and a training unit. The system comprises an establishing unit, a processing unit and a control unit, wherein the establishing unit is used for establishing an initial detection model before analyzing first temperature information by using a first model and determining a target gesture for controlling the electric heater, and the initial detection model is used for machine learning training; the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a plurality of groups of data, and each group of data in the plurality of groups of data also comprises temperature information and gesture information; and the training unit is used for training the initial detection model by utilizing the multiple groups of data to obtain a first model.
In this embodiment, the acquisition unit 10 acquires first temperature information of a target object, where the first temperature information is used to indicate a current temperature of the target object, the determination unit 20 analyzes the first temperature information using a first model, and determines a target gesture for controlling the electric heater, where the first temperature information corresponds to the target gesture, the first model is trained through machine learning using multiple sets of data, and each set of data in the multiple sets of data includes: the temperature indicated by the temperature information and the gesture indicated by the gesture information correspond to each other, the temperature information includes first temperature information, the gesture includes a target gesture, and the control unit 30 controls the electric heater to execute a target operation corresponding to the target gesture through the target gesture. Because through the first temperature information of gathering the target object, obtain the target gesture corresponding with first temperature information by the first model that the training obtained, and then control the electric heater and carry out the operation that corresponds with the target gesture, solved the problem that the control efficiency of electric heater is low, and then reached the effect that improves the control efficiency of electric heater.
Example 3
The embodiment of the invention also provides a storage medium. The storage medium comprises a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute the control method of the electric heater in the embodiment of the invention.
Example 4
The embodiment of the invention also provides a processor. The processor is used for running a program, wherein the program is used for executing the control method of the electric heater in the embodiment of the invention when running.
Example 5
The embodiment of the invention also provides an electric heater. It should be noted that the electric heater of this embodiment may be used to execute the control method of the electric heater of the embodiment of the present invention.
Fig. 3 is a schematic diagram of an electric heater according to an embodiment of the present invention. As shown in fig. 3, the electric heater includes: an information acquisition device 40 and a processor 50.
The information acquisition device 40 is configured to acquire first temperature information of the target object, where the first temperature information is used to indicate a current temperature of the target object.
A processor 50, which runs a program, wherein the program runs to execute the following processing steps for the first temperature information output from the information acquisition device: using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
Example 6
The embodiment of the invention also provides an electric heater. It should be noted that the electric heater of this embodiment may be used to execute the control method of the electric heater of the embodiment of the present invention.
Fig. 4 is a schematic diagram of an electric heater according to an embodiment of the present invention. As shown in fig. 4, the electric heater includes: an information acquisition device 60 and a storage medium 70.
The information acquiring device 60 is configured to acquire first temperature information of the target object, where the first temperature information is used to indicate a current temperature of the target object.
A storage medium 70 for storing a program, wherein the program performs the following processing steps for first temperature information output from the information acquisition apparatus when running: using first model to carry out analysis to first temperature information, confirming the target gesture that is used for controlling the electric heater, wherein, first temperature information is corresponding with the target gesture, and first model is for using multiunit data to train out through machine learning, and every group data in the multiunit data all includes: a correspondence between a temperature indicated by the temperature information and a gesture indicated by the gesture information, the temperature information including first temperature information, the gesture including a target gesture; and controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A control method of an electric heater is characterized by comprising the following steps:
acquiring first temperature information of a target object, wherein the first temperature information is used for indicating the current temperature of the target object;
analyzing the first temperature information by using a first model, and determining a target gesture for controlling an electric heater, wherein the first temperature information corresponds to the target gesture, the first model is trained by machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises: a correspondence between a temperature indicated by temperature information and a gesture indicated by gesture information, the temperature information including the first temperature information, the gesture including the target gesture;
controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture;
wherein acquiring the first temperature information of the target object comprises: acquiring image information of the target object, wherein the image information comprises the first temperature information; and identifying the image information to obtain the first temperature information.
2. The method of claim 1, wherein acquiring the first temperature information of the target object comprises:
acquiring infrared information of the target object, wherein the infrared information comprises the first temperature information;
and identifying the infrared information to obtain the first temperature information.
3. The method of claim 1,
analyzing the first temperature information using the first model, and determining a target gesture for controlling the electric heater includes: analyzing the first temperature information by using the first model, and determining a first target gesture for controlling the power of the electric heater, wherein the target gesture comprises the first target gesture;
the controlling, by the target gesture, the electric heater to perform a target operation corresponding to the target gesture includes: and controlling the electric heater to execute a first target operation corresponding to the first target gesture through the first target gesture, wherein the target operation comprises the first target operation, and the first target operation is used for controlling the power of the electric heater.
4. The method of claim 1,
analyzing the first temperature information using the first model, and determining a target gesture for controlling the electric heater includes: analyzing the first temperature information by using the first model, and determining a second target gesture for controlling the working time of the electric heater, wherein the target gesture comprises the second target gesture;
the controlling, by the target gesture, the electric heater to perform a target operation corresponding to the target gesture includes: and controlling the electric heater to execute a second target operation corresponding to the second target gesture through the second target gesture, wherein the target operation comprises the second target operation, and the second target operation is used for controlling the working time of the electric heater.
5. The method of claim 1,
analyzing the first temperature information using the first model, and determining a target gesture for controlling the electric heater includes: analyzing the first temperature information by using the first model, and determining a third target gesture for controlling the wind direction of the electric heater, wherein the target gesture comprises the third target gesture;
the controlling, by the target gesture, the electric heater to perform a target operation corresponding to the target gesture includes: and controlling the electric heater to execute third target operation corresponding to the three target gestures through the third target gesture, wherein the target operation comprises the third target operation, and the third target operation is used for controlling the wind direction of the electric heater.
6. The method of claim 1, wherein after acquiring the first temperature information of the target object, the method further comprises:
and under the condition that the temperature indicated by the first temperature information meets a target condition, outputting prompt information, wherein the prompt information is used for indicating that the electric heater needs to be adjusted.
7. The method of any one of claims 1 to 6, wherein before analyzing the first temperature information using the first model to determine a target gesture for controlling an electric heater, the method further comprises:
establishing an initial detection model, wherein the initial detection model is an initial model used for machine learning training;
acquiring the multiple groups of data, wherein each group of data in the multiple groups of data further comprises the temperature information and the gesture information;
and training the initial detection model by using the multiple groups of data to obtain the first model.
8. The utility model provides a controlling means of electric heater which characterized in that includes:
the temperature control device comprises an acquisition unit, a control unit and a processing unit, wherein the acquisition unit is used for acquiring first temperature information of a target object, and the first temperature information is used for indicating the current temperature of the target object;
a determining unit, configured to analyze the first temperature information using a first model, and determine a target gesture for controlling an electric heater, where the first temperature information corresponds to the target gesture, the first model is trained through machine learning using multiple sets of data, and each set of data in the multiple sets of data includes: a correspondence between a temperature indicated by temperature information and a gesture indicated by gesture information, the temperature information including the first temperature information, the gesture including the target gesture;
the control unit is used for controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture;
wherein the acquisition unit is further configured to acquire the first temperature information of the target object by: acquiring image information of the target object, wherein the image information comprises the first temperature information; and identifying the image information to obtain the first temperature information.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute the control method of the electric heater according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is run to execute the control method of the electric heater of any one of claims 1 to 7.
11. An electric heater, comprising:
the temperature control device comprises an information acquisition device, a temperature control device and a temperature control device, wherein the information acquisition device is used for acquiring first temperature information of a target object, and the first temperature information is used for indicating the current temperature of the target object;
a processor that runs a program, wherein the program runs to execute the following processing steps for the first temperature information output from the information acquisition apparatus: analyzing the first temperature information by using a first model, and determining a target gesture for controlling an electric heater, wherein the first temperature information corresponds to the target gesture, the first model is trained by machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises: a correspondence between a temperature indicated by temperature information and a gesture indicated by gesture information, the temperature information including the first temperature information, the gesture including the target gesture; controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture;
wherein the information acquisition device is further configured to acquire the first temperature information of the target object by: acquiring image information of the target object, wherein the image information comprises the first temperature information; and identifying the image information to obtain the first temperature information.
12. An electric heater, comprising:
the temperature control device comprises an information acquisition device, a temperature control device and a temperature control device, wherein the information acquisition device is used for acquiring first temperature information of a target object, and the first temperature information is used for indicating the current temperature of the target object;
a storage medium for storing a program, wherein the program performs the following processing steps for the first temperature information output from the information acquisition apparatus when running: analyzing the first temperature information by using a first model, and determining a target gesture for controlling an electric heater, wherein the first temperature information corresponds to the target gesture, the first model is trained by machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises: a correspondence between a temperature indicated by temperature information and a gesture indicated by gesture information, the temperature information including the first temperature information, the gesture including the target gesture; controlling the electric heater to execute target operation corresponding to the target gesture through the target gesture;
wherein the information acquisition device is further configured to acquire the first temperature information of the target object by: acquiring image information of the target object, wherein the image information comprises the first temperature information; and identifying the image information to obtain the first temperature information.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102183A (en) * | 2013-04-13 | 2014-10-15 | 王斌 | Intelligent household gesture control method and apparatus |
| CN105975073A (en) * | 2016-04-29 | 2016-09-28 | 广东美的制冷设备有限公司 | Gesture recognition method, gesture recognition device and equipment |
| CN106839290A (en) * | 2017-01-16 | 2017-06-13 | 广东美的制冷设备有限公司 | The control method and control device and air-conditioner of gesture identification |
| CN106886275A (en) * | 2015-12-15 | 2017-06-23 | 比亚迪股份有限公司 | The control method of car-mounted terminal, device and vehicle |
| CA3018751A1 (en) * | 2016-03-24 | 2017-09-28 | Lutron Electronics Co., Inc. | Gesture-based control device for controlling an electrical load |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140361870A1 (en) * | 2013-06-05 | 2014-12-11 | Anthony R. Catalfamo | Unauthorized person deterrent apparatus, system, and method of use thereof |
-
2017
- 2017-10-19 CN CN201710998171.1A patent/CN107831677B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102183A (en) * | 2013-04-13 | 2014-10-15 | 王斌 | Intelligent household gesture control method and apparatus |
| CN106886275A (en) * | 2015-12-15 | 2017-06-23 | 比亚迪股份有限公司 | The control method of car-mounted terminal, device and vehicle |
| CA3018751A1 (en) * | 2016-03-24 | 2017-09-28 | Lutron Electronics Co., Inc. | Gesture-based control device for controlling an electrical load |
| CN105975073A (en) * | 2016-04-29 | 2016-09-28 | 广东美的制冷设备有限公司 | Gesture recognition method, gesture recognition device and equipment |
| CN106839290A (en) * | 2017-01-16 | 2017-06-13 | 广东美的制冷设备有限公司 | The control method and control device and air-conditioner of gesture identification |
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