CN110837227A - Electric appliance control method and device - Google Patents
Electric appliance control method and device Download PDFInfo
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- CN110837227A CN110837227A CN201810930166.1A CN201810930166A CN110837227A CN 110837227 A CN110837227 A CN 110837227A CN 201810930166 A CN201810930166 A CN 201810930166A CN 110837227 A CN110837227 A CN 110837227A
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000010801 machine learning Methods 0.000 claims abstract description 11
- 238000012549 training Methods 0.000 claims abstract description 10
- 238000006243 chemical reaction Methods 0.000 claims description 21
- 238000013527 convolutional neural network Methods 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000001276 controlling effect Effects 0.000 description 21
- 230000000875 corresponding effect Effects 0.000 description 20
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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Classifications
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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
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
Abstract
The invention discloses an electric appliance control method and device. Wherein, the method comprises the following steps: acquiring a control instruction; inputting a control command into a recognition model, recognizing a first electric appliance corresponding to the control command by the recognition model, wherein the recognition model is obtained by using a plurality of groups of data through machine learning training, and each group of data in the plurality of groups of data comprises: the control instruction and a first electric appliance corresponding to the control instruction are provided, and the first electric appliance is any one of a plurality of different kinds of electric appliances; and sending the control instruction to the first electric appliance, and controlling the first electric appliance according to the control instruction. The invention solves the technical problems that the related technology can not control different types of electric appliances and has poor use flexibility.
Description
Technical Field
The invention relates to the field of electric appliance control, in particular to an electric appliance control method and device.
Background
The use of all kinds of electrical apparatus, it is more and more common in the life, and the kind and the quantity of electrical apparatus are also more and more, but the control mode of different kinds of electrical apparatus often differs very greatly, for example some intelligent household electrical appliances just can directly lead to the fact pronunciation to control, but some traditional electrical apparatus still need pass through the remote controller, mode such as button are controlled, in the remote controller trouble, or under the condition of button trouble, just restraint the policy to the control of electrical apparatus, can only maintain, use the flexibility very low. And in case of emergency use, it will bring great inconvenience to users.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an electric appliance control method and device, and aims to at least solve the technical problems that different kinds of electric appliances cannot be controlled and the use flexibility is poor in the related technology.
According to an aspect of an embodiment of the present invention, there is provided an appliance control method including: acquiring a control instruction; inputting the control instruction into a recognition model, and recognizing a first electric appliance corresponding to the control instruction by using the recognition model, wherein the recognition model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control device comprises a control instruction and a first electric appliance corresponding to the control instruction, wherein the first electric appliance is any one of a plurality of different kinds of electric appliances; and sending the control instruction to the first electric appliance, and controlling the first electric appliance according to the control instruction.
Optionally, the recognition model includes a long-short term memory network and a convolutional neural network.
Optionally, the obtaining the control instruction includes: collecting or receiving a control instruction of a user; and/or receiving a control command sent by the control device.
Optionally, in a case of receiving a control instruction of a user, the control instruction includes at least one of: voice control information, text control information.
Optionally, sending the control instruction to the first electrical appliance, and controlling the first electrical appliance according to the control instruction includes: receiving control feedback of the first electrical appliance, wherein the control feedback is used for feeding back whether the control of the first electrical appliance is successful or not to a user.
Optionally, inputting the control instruction into a recognition model, and after the recognition model recognizes the first electrical appliance corresponding to the control instruction, the method includes: determining a second electric appliance needing to be controlled; converting the control instruction of the first electrical appliance into a conversion instruction for controlling a second electrical appliance; and sending the conversion instruction to the second electric appliance, and controlling the second electric appliance according to the conversion instruction.
According to another aspect of an embodiment of the present invention, there is provided an appliance control device including: the acquisition module is used for controlling the instruction; the identification module is used for inputting an identification model, and identifying the first electric appliance corresponding to the control instruction by the identification model, wherein the identification model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control device comprises a control instruction and a first electric appliance corresponding to the control instruction, wherein the first electric appliance is any one of a plurality of different kinds of electric appliances; and the sending module is used for sending the control instruction to the first electric appliance and controlling the first electric appliance according to the control instruction.
Optionally, the recognition model includes a long-short term memory network and a convolutional neural network.
Optionally, the obtaining module includes: the acquisition unit is used for acquiring or receiving a control instruction of a user; and/or the receiving unit is used for receiving the control instruction sent by the control device.
Optionally, the apparatus further comprises: and the receiving module is used for receiving control feedback of the first electric appliance, wherein the control feedback is used for feeding back whether the control of the first electric appliance is successful or not to a user.
Optionally, the apparatus further comprises: the determining module is used for determining a second electric appliance needing to be controlled; the conversion module is used for converting the control instruction into a conversion instruction for controlling a second electric appliance; and the control module is used for sending the conversion instruction to the second electric appliance and controlling the second electric appliance according to the conversion instruction.
According to another aspect of the embodiments of the present invention, there is provided a storage medium storing program instructions, wherein when the program instructions are executed, the storage medium is controlled by a device to execute any one of the above methods.
In the embodiment of the invention, a control instruction is obtained; inputting the control instruction into a recognition model, and recognizing a first electric appliance corresponding to the control instruction by using the recognition model, wherein the recognition model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control device comprises a control instruction and a first electric appliance corresponding to the control instruction, wherein the first electric appliance is any one of a plurality of different kinds of electric appliances; the control instruction is sent to the first electric appliance, the first electric appliance is controlled according to the control instruction, the control instruction is classified and sent to the first electric appliance according to the classification result, and the purpose of controlling the first electric appliance is achieved, so that the technical effects of controlling different types of electric appliances and controlling the nature through the control instruction and having high use flexibility are achieved, and the technical problems that the related technology cannot control different types of electric appliances and the use flexibility is poor are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of an appliance control method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an appliance control device according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of an electrical control method, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than presented herein.
Fig. 1 is a flowchart of an appliance control method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, acquiring a control instruction;
step S104, inputting the control instruction into a recognition model, and recognizing the first electric appliance corresponding to the control instruction by the recognition model, wherein the recognition model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control instruction and a first electric appliance corresponding to the control instruction are provided, and the first electric appliance is any one of a plurality of different kinds of electric appliances;
and step S106, sending the control instruction to the first electric appliance, and controlling the first electric appliance according to the control instruction.
Through the steps, acquiring a control instruction; inputting a control command into a recognition model, recognizing a first electric appliance corresponding to the control command by the recognition model, wherein the recognition model is obtained by using a plurality of groups of data through machine learning training, and each group of data in the plurality of groups of data comprises: the control instruction and a first electric appliance corresponding to the control instruction are provided, and the first electric appliance is any one of a plurality of different kinds of electric appliances; the control instruction is sent to the first electric appliance, the first electric appliance is controlled according to the control instruction, the control instruction is classified, and the control instruction is sent to the first electric appliance according to the classification result, so that the purpose of controlling the first electric appliance is achieved, the control instruction is used for controlling different types of electric appliances and properties, the technical effect of high use flexibility is achieved, and the technical problems that the related technology cannot control different types of electric appliances and the use flexibility is poor are solved.
The control command may be a control command of any electrical appliance, for example, a control signal sent by a control device, a voice control signal sent by a user, or an action control signal. After the control instruction is acquired, the control instruction is identified, the control instruction sent by the user is identified to be the control instruction for controlling the first electric appliance in the plurality of electric appliances, and the control instruction is sent to the first electric appliance according to the identified first electric appliance to control the first electric appliance. Therefore, the control instruction is identified according to the control instruction sent by the user, and is executed according to the identification result, so that the method is suitable for the control instruction of any electric appliance, and is high in use flexibility.
The recognition model is obtained by machine learning training using a plurality of sets of data, and is a recognition model capable of machine learning, such as a convolutional neural network recognition model, for example, trained by a plurality of sets of data until the model converges, and has a recognition capability between input data and output data. Each set of data in the plurality of sets of data includes: the control instruction and the first electric appliance corresponding to the control instruction.
Optionally, the recognition model comprises a long-short term memory network and a convolutional neural network.
In this embodiment, a method of combining a long-time memory model and a convolutional neural network is applied, preliminary semantic information and word order information corresponding to each word in a target sentence are obtained through the model, more abstract and accurate semantic information of each word in the target sentence is obtained through the convolutional neural network model, and then accuracy of sentence recognition can be improved, so that convenient internet-of-things multi-appliance control is realized according to the accurate language recognition method, and user experience is improved.
Optionally, the obtaining the control instruction includes: collecting or receiving a control instruction of a user; and/or receiving a control command sent by the control device.
The control command may be a control command sent by a user through a control device, for example, a control command sent by a remote controller to control a television. Or a control instruction directly issued by the user, for example, a voice control instruction issued by the user to control the smart speaker. And when the forms of the control instructions are different, corresponding actions are performed on the control instructions according to the different forms of the control instructions.
Optionally, in the case of receiving a control instruction of a user, the control instruction includes at least one of the following: voice control information, text control information. When a control command of a user is received, the control command is a control command directly sent by the user, and the control command can be voice control information, motion control information or text control information.
Optionally, the sending the control instruction to the first electrical appliance, and controlling the first electrical appliance according to the control instruction includes: and receiving control feedback of the first electric appliance, wherein the control feedback is used for feeding back whether the control of the first electric appliance is successful or not to a user.
After the control instruction is sent to the first electric appliance and the first electric appliance is controlled, whether the control instruction successfully controls the first electric appliance is judged by receiving control feedback fed back by the first electric appliance. The control feedback may include, for example, an operating parameter of the first appliance, a parameter change, and the like.
Optionally, inputting the control instruction into the recognition model, and after the recognition model recognizes the first electrical appliance corresponding to the control instruction, the method includes: determining a second electric appliance needing to be controlled; converting the control instruction into a conversion instruction for controlling the second electrical appliance; and sending the conversion instruction to the second electric appliance, and controlling the second electric appliance according to the conversion instruction.
In the above embodiment, the determination of the second electrical appliance to be controlled, which needs to be determined to the user, may be that the user directly issues an instruction, or inputs information to determine the second electrical appliance. For example, the user wants to control the television, but only the air conditioner remote control can select the second electrical appliance as a control target through setting, and then the television is simply controlled and operated through the air conditioner remote control. It should be noted that functions that cannot be realized by the television cannot be controlled. For example, a television cannot be controlled by remote control of the air conditioner for wind adjustment.
In the above embodiment, the functions that cannot be realized by the target electrical appliance cannot be controlled, but can be realized by corresponding control relationships, for example, the wind power size adjustment of the air conditioner remote control corresponds to the sound size adjustment of a television. The corresponding control relationship may be a preset corresponding control relationship.
Fig. 2 is a schematic structural diagram of an appliance control device according to an embodiment of the present invention, and as shown in fig. 2, the appliance control device 20 includes: an acquisition module 22, an identification module 24 and a transmission module 26, which will be described in detail below with respect to the electrical control device 20.
An acquisition module 22, configured to control an instruction; the recognition module 24 is connected to the obtaining module 22, and is configured to input a recognition model, and recognize, by the recognition model, the first electrical appliance corresponding to the control instruction, where the recognition model is obtained by using multiple sets of data through machine learning training, and each set of data in the multiple sets of data includes: the control instruction and a first electric appliance corresponding to the control instruction are provided, and the first electric appliance is any one of a plurality of different kinds of electric appliances; and the sending module 26 is connected with the identification module 24 and is used for sending the control command to the first electrical appliance and controlling the first electrical appliance according to the control command.
Optionally, the recognition model comprises a long-short term memory network and a convolutional neural network.
Optionally, the obtaining module includes: the acquisition unit is used for acquiring or receiving a control instruction of a user; and/or the receiving unit is used for receiving the control instruction sent by the control device.
Optionally, the apparatus further comprises: and the receiving module is used for receiving control feedback of the first electric appliance, wherein the control feedback is used for feeding back whether the control of the first electric appliance is successful or not to a user.
Optionally, the apparatus further comprises: the determining module is used for determining a second electric appliance needing to be controlled; the conversion module is used for converting the control instruction into a conversion instruction for controlling the second electric appliance; and the control module is used for sending the conversion instruction to the second electric appliance and controlling the second electric appliance according to the conversion instruction.
According to another aspect of the embodiments of the present invention, there is provided a storage medium storing program instructions, wherein when the program instructions are executed, the apparatus on which the storage medium is located is controlled to execute the method of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (12)
1. An appliance control method, comprising:
acquiring a control instruction;
inputting the control instruction into a recognition model, and recognizing a first electric appliance corresponding to the control instruction by using the recognition model, wherein the recognition model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control device comprises a control instruction and a first electric appliance corresponding to the control instruction, wherein the first electric appliance is any one of a plurality of different kinds of electric appliances;
and sending the control instruction to the first electric appliance, and controlling the first electric appliance according to the control instruction.
2. The method of claim 1, wherein the recognition model comprises a long-short term memory network and a convolutional neural network.
3. The method of claim 2, wherein obtaining control instructions comprises:
collecting or receiving a control instruction of a user;
and/or the presence of a gas in the gas,
and receiving a control command sent by the control device.
4. The method according to claim 3, wherein, in case of receiving a control instruction of a user, the control instruction comprises at least one of: voice control information, text control information.
5. The method of claim 1, wherein after sending the control command to the first electrical appliance and controlling the first electrical appliance according to the control command comprises:
receiving control feedback of the first electrical appliance, wherein the control feedback is used for feeding back whether the control of the first electrical appliance is successful or not to a user.
6. The method of claim 1, wherein inputting the control command into a recognition model, and after recognizing the first appliance corresponding to the control command by the recognition model, the method comprises:
determining a second electric appliance needing to be controlled;
converting the control instruction of the first electrical appliance into a conversion instruction for controlling a second electrical appliance;
and sending the conversion instruction to the second electric appliance, and controlling the second electric appliance according to the conversion instruction.
7. An appliance control device, comprising:
the acquisition module is used for controlling the instruction;
the identification module is used for inputting an identification model, and identifying the first electric appliance corresponding to the control instruction by the identification model, wherein the identification model is obtained by using multiple groups of data through machine learning training, and each group of data in the multiple groups of data comprises: the control device comprises a control instruction and a first electric appliance corresponding to the control instruction, wherein the first electric appliance is any one of a plurality of different kinds of electric appliances;
and the sending module is used for sending the control instruction to the first electric appliance and controlling the first electric appliance according to the control instruction.
8. The apparatus of claim 7, wherein the recognition model comprises a long-short term memory network and a convolutional neural network.
9. The apparatus of claim 8, wherein the obtaining module comprises:
the acquisition unit is used for acquiring or receiving a control instruction of a user;
and/or the presence of a gas in the gas,
and the receiving unit is used for receiving the control instruction sent by the control device.
10. The apparatus of claim 7, further comprising:
and the receiving module is used for receiving control feedback of the first electric appliance, wherein the control feedback is used for feeding back whether the control of the first electric appliance is successful or not to a user.
11. The apparatus of claim 7, further comprising:
the determining module is used for determining a second electric appliance needing to be controlled;
the conversion module is used for converting the control instruction into a conversion instruction for controlling a second electric appliance;
and the control module is used for sending the conversion instruction to the second electric appliance and controlling the second electric appliance according to the conversion instruction.
12. A storage medium storing program instructions, wherein the program instructions, when executed, control an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 6.
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| CN201810930166.1A CN110837227A (en) | 2018-08-15 | 2018-08-15 | Electric appliance control method and device |
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| CN201810930166.1A CN110837227A (en) | 2018-08-15 | 2018-08-15 | Electric appliance control method and device |
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Application publication date: 20200225 |