CN116959445B - Intelligent control method and system for wireless electric iron - Google Patents
Intelligent control method and system for wireless electric iron Download PDFInfo
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- CN116959445B CN116959445B CN202311213848.8A CN202311213848A CN116959445B CN 116959445 B CN116959445 B CN 116959445B CN 202311213848 A CN202311213848 A CN 202311213848A CN 116959445 B CN116959445 B CN 116959445B
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 title claims abstract description 166
- 229910052742 iron Inorganic materials 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title abstract description 29
- 238000010409 ironing Methods 0.000 claims abstract description 70
- 239000004744 fabric Substances 0.000 claims abstract description 40
- 238000010438 heat treatment Methods 0.000 claims description 22
- 238000009432 framing Methods 0.000 claims description 16
- 238000001228 spectrum Methods 0.000 claims description 16
- 239000012634 fragment Substances 0.000 claims description 13
- 230000003631 expected effect Effects 0.000 claims description 12
- 239000000463 material Substances 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 11
- 238000012545 processing Methods 0.000 claims description 11
- 230000009466 transformation Effects 0.000 claims description 9
- 238000007781 pre-processing Methods 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 230000002457 bidirectional effect Effects 0.000 claims description 3
- 239000003792 electrolyte Substances 0.000 claims description 3
- 229910052744 lithium Inorganic materials 0.000 claims description 3
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 3
- 239000008213 purified water Substances 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 5
- 230000008901 benefit Effects 0.000 description 4
- 238000001816 cooling Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F75/00—Hand irons
- D06F75/08—Hand irons internally heated by electricity
- D06F75/10—Hand irons internally heated by electricity with means for supplying steam to the article being ironed
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F75/00—Hand irons
- D06F75/08—Hand irons internally heated by electricity
- D06F75/26—Temperature control or indicating arrangements
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Textile Engineering (AREA)
- Artificial Intelligence (AREA)
- Computer Networks & Wireless Communication (AREA)
- Power Engineering (AREA)
- Irons (AREA)
Abstract
The invention relates to the field of household appliances, in particular to an intelligent control method and system of a wireless electric iron. According to the cloth condition in the real-time ironing process, the corresponding ironing temperature and steam are adjusted, and the stability of ironing operation is improved; the ironing operation can be performed without inserting wires, and the convenience of the ironing operation is improved. Acquiring real-time voice information around the electric iron through a voice information acquisition module, inputting the voice information into a deep natural voice recognition model for voice information recognition, and obtaining real-time text information; generating corresponding electric signals according to the real-time text information, and generating control instructions according to the electric signals; the wireless power supply module is controlled according to the control instruction, real-time steam information is obtained, a corresponding second real-time control instruction is generated according to the real-time steam information, target adjustment is carried out on the second real-time control instruction according to the real-time ironing information, a target control instruction is generated, and target control is carried out on the power supply module by utilizing the target control instruction.
Description
Technical Field
The invention relates to the field of household appliances, in particular to an intelligent control method and system of a wireless electric iron.
Background
When the existing electric iron is used, the ironing temperature is difficult to control, the temperature is high, the clothes are ironed, the ironing board is large in size and occupies a large space, and the materials of part of clothes cannot be ironed. With the development of intelligent control technology, the instant heating type steam electric iron gradually appears in the market, and an electromagnetic pump is controlled by the intelligent control technology to pump cold water into a heating cavity of the electric iron for operation, but the current instant heating type steam electric iron cannot perform effective real-time intelligent control in the ironing process, and needs to be plugged in for operation in the ironing operation, so that wireless ironing cannot be realized, and a plurality of inconveniences are caused due to electric wires in the ironing process.
Disclosure of Invention
The invention aims to solve the problems, and designs an intelligent control method and system of a wireless electric iron.
The technical scheme of the invention for achieving the purpose is that in the intelligent control method of the wireless electric iron, the intelligent control method of the wireless electric iron comprises the following steps:
acquiring real-time voice information around the electric iron through a voice information acquisition module, and preprocessing the voice information of the real-time voice information to obtain target voice information;
inputting the target voice information into a deep natural voice recognition model to perform voice information recognition, so as to obtain real-time text information;
generating a corresponding electric signal according to the real-time text information, and generating a first control instruction according to the electric signal;
controlling a wireless power supply module according to the first control instruction, wherein the wireless power supply module is used for supplying power to a heating module in the electric iron;
acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by using the second real-time control instruction;
and acquiring real-time ironing information of the cloth, performing target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and performing target control on the power supply module by utilizing the target control instruction.
Further, in the above intelligent control method for a wireless electric iron, the acquiring real-time voice information around the electric iron by the voice information acquisition module performs voice information preprocessing on the real-time voice information to obtain target voice information, including:
acquiring real-time voice information around the electric iron through a voice information acquisition module, wherein the voice information acquisition module at least comprises the step of acquiring the real-time voice information around the electric iron by utilizing a microphone, and the real-time voice information at least comprises Chinese voice information, english voice information and German voice information;
identifying audio fragment information containing human voice in the real-time voice information by using a voice activity detection algorithm to obtain fragment real-time voice information;
removing high-frequency voice information in the fragment real-time voice information through a low-pass filter to obtain low-frequency real-time voice information;
and removing voice noise information in the low-frequency real-time voice information to obtain target voice information.
Further, in the above intelligent control method for a radio iron, the inputting the target voice information into a deep speech natural voice recognition model for voice information recognition to obtain real-time text information includes:
acquiring target voice information, and inputting the target voice information into a deep natural voice recognition model to perform voice information recognition;
the voice information identification at least comprises pre-emphasis, framing, windowing, fourier transformation, mel filter and discrete cosine transformation;
the deep natural speech recognition model at least comprises an input layer, a fully connected network layer, a bidirectional circulating neural network layer and a softmax output layer.
Further, in the above intelligent control method for a radio iron, the voice information recognition at least includes pre-emphasis, framing, windowing, fourier transform, mel filter, discrete cosine transform, including:
acquiring target voice information, and filtering a low-frequency signal in the target voice information by using a high-pass filter to obtain high-frequency voice information;
carrying out Fourier transform after framing the high-frequency voice information to obtain framing voice information, and dividing the framing voice information into voice information segments with the same size to obtain average segment voice information;
processing the average segment of speech information using different window functions, the window functions including at least a rectangular window, a hamming window, a triangular window, a hanning window;
the average section voice information is subjected to Fourier transformation to obtain frequency domain information of a voice signal and energy distribution in a frequency spectrum, and the frequency spectrum of the voice signal is subjected to modular squaring to obtain corresponding power spectrum voice information;
processing the power spectrum voice information through a Mel triangle filter to obtain Mel voice information;
inputting the Mel voice information into a discrete cosine transform formula for calculation to obtain MFCC characteristic real-time voice information;
and reasoning the MFCC characteristic real-time voice information through a probability model to obtain probability distribution of each frame of audio frequency on all characters, and obtaining corresponding character output according to the probability distribution to obtain real-time text information.
Further, in the above intelligent control method for a radio iron, the generating a corresponding electrical signal according to the real-time text information, generating a first control command according to the electrical signal, includes:
generating a corresponding electric signal according to the real-time text information, and generating a first control instruction according to the electric signal;
the first control instruction comprises a system control instruction, a bit operation instruction, a data transmission instruction, an arithmetic operation instruction, a logic operation instruction, a branch control instruction and an interrupt instruction.
Further, in the above intelligent control method of a wireless electric iron, the controlling the wireless power supply module according to the first control instruction, where the wireless power supply module is configured to supply power to a heating module in the electric iron, includes:
controlling a wireless power supply module according to the first control instruction, wherein the wireless power supply module is used for supplying power to a heating module in the electric iron;
the heating module is used for electrically heating purified water or water containing electrolyte in the electric iron.
Further, in the above intelligent control method for a wireless electric iron, the acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by using the second real-time control instruction includes:
the method comprises the steps that real-time steam information is obtained through a gas obtaining device, the real-time steam information comprises steam concentration information, steam temperature information and steam pressure information, a corresponding second real-time control instruction is generated according to the real-time steam information, the wireless power supply module is used for carrying out real-time control on the wireless power supply module, the wireless power supply module is a power supply placed in an electric iron, and the wireless power supply module at least comprises a lithium battery and a lithium iron phosphate battery.
Further, in the above intelligent control method for a wireless electric iron, the obtaining real-time ironing information of the fabric, performing target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, performing target control on the power supply module by using the target control instruction, includes:
the method comprises the steps that real-time ironing information of cloth is obtained through a cloth detection device, wherein the real-time ironing information at least comprises cloth material information and cloth fold information;
acquiring corresponding real-time ironing information according to the material information and the material fold information of the cloth, wherein the real-time ironing information at least comprises ironing temperature information, ironing humidity information and steam pressure information;
performing target adjustment on the second real-time control instruction according to the real-time ironing information to generate a target control instruction;
performing target control on the power supply module by using the target control instruction, and adjusting the target control instruction if the electric iron does not reach the expected effect after target control;
if the electric iron achieves the expected effect after target control, the target control instruction is input into a database for storage, and the expected effect is a result of detecting the flatness of the cloth through the cloth detection device.
Further, in the above-mentioned intelligent control system for a cordless electric iron, the intelligent control system for a cordless electric iron includes:
the voice acquisition module is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, and carrying out voice information preprocessing on the real-time voice information to obtain target voice information;
the voice recognition module is used for inputting the target voice information into a deep natural voice recognition model to perform voice information recognition so as to obtain real-time text information;
the instruction generation module is used for generating corresponding electric signals according to the real-time text information and generating a first control instruction according to the electric signals;
the wireless power supply module is used for controlling the wireless power supply module according to the first control instruction, and the wireless power supply module is used for supplying power to the heating module in the electric iron;
the real-time control module is used for acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by utilizing the second real-time control instruction;
the instruction adjusting module is used for acquiring real-time ironing information of the cloth, carrying out target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and carrying out target control on the power supply module by utilizing the target control instruction.
Further, in the above intelligent control system for a wireless electric iron, the voice acquisition module includes the following submodules:
the microphone sub-module is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, the voice information acquisition module at least comprises the step of acquiring the real-time voice information around the electric iron by utilizing a microphone, and the real-time voice information at least comprises Chinese voice information, english voice information and German voice information;
the voice processing sub-module is used for identifying the audio fragment information containing human voice in the real-time voice information by using a voice activity detection algorithm to obtain fragment real-time voice information;
the voice filtering sub-module is used for removing high-frequency voice information in the fragment real-time voice information through a low-pass filter to obtain low-frequency real-time voice information;
and the segment removing sub-module is used for removing voice noise information in the low-frequency real-time voice information to obtain target voice information.
The voice information acquisition module is used for acquiring real-time voice information around the electric iron, and performing voice information preprocessing on the real-time voice information to obtain target voice information; inputting the target voice information into a deep natural voice recognition model to perform voice information recognition, so as to obtain real-time text information; generating a corresponding electric signal according to the real-time text information, and generating a first control instruction according to the electric signal; controlling a wireless power supply module according to the first control instruction, wherein the wireless power supply module is used for supplying power to a heating module in the electric iron; acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by using the second real-time control instruction; and acquiring real-time ironing information of the cloth, performing target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and performing target control on the power supply module by utilizing the target control instruction. The electric iron can be effectively controlled in real time by voice, the operations of switching on and switching off, heating up, cooling down and the like of the electric iron are performed according to the real-time voice information of a user, and the corresponding ironing temperature and steam are adjusted according to the cloth condition in the real-time ironing process, so that the stability of ironing operation is improved; the ironing operation can be performed under the condition that no electric wire is inserted, the convenience of the ironing operation is improved, and meanwhile, the efficiency of the ironing operation is improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention.
Fig. 1 is a schematic view of a first embodiment of a method for intelligent control of a wireless electric iron according to an embodiment of the present invention;
fig. 2 is a schematic view of a second embodiment of a method for intelligent control of a wireless electric iron according to an embodiment of the present invention;
fig. 3 is a schematic view of a third embodiment of a method for intelligent control of a wireless electric iron according to an embodiment of the present invention;
fig. 4 is a schematic view of a first embodiment of an intelligent control system for a cordless iron according to an embodiment of the present invention;
fig. 5 is a schematic view of a second embodiment of an intelligent control system for a cordless iron according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The invention will be described in detail with reference to the accompanying drawings, as shown in fig. 1, an intelligent control method of a wireless electric iron, the intelligent control method of the wireless electric iron comprises the following steps:
step 101, acquiring real-time voice information around an electric iron through a voice information acquisition module, and preprocessing the voice information to obtain target voice information;
specifically, in this embodiment, the voice information collecting module obtains real-time voice information around the electric iron, where the voice information collecting module at least includes collecting the real-time voice information around the electric iron by using the microphone, and the real-time voice information includes at least chinese voice information, english voice information and german voice information; identifying audio fragment information containing human voice in the real-time voice information by using a voice activity detection algorithm to obtain fragment real-time voice information; removing high-frequency voice information in the segment real-time voice information through a low-pass filter to obtain low-frequency real-time voice information; and removing voice noise information in the low-frequency real-time voice information to obtain target voice information.
102, inputting target voice information into a deep natural voice recognition model to perform voice information recognition, so as to obtain real-time text information;
specifically, in this embodiment, target voice information is obtained, and the target voice information is input into a deep natural voice recognition model to perform voice information recognition; the voice information identification at least comprises pre-emphasis, framing, windowing, fourier transformation, mel filter and discrete cosine transformation; the deep natural speech recognition model at least comprises an input layer, a fully connected network layer, a bidirectional recurrent neural network layer and a softmax output layer.
Specifically, in this embodiment, target voice information is obtained, and a high-pass filter is used to filter a low-frequency signal in the target voice information to obtain high-frequency voice information; carrying out Fourier transform after framing on the high-frequency voice information to obtain framing voice information, and dividing the framing voice information into voice information segments with the same size to obtain average segment voice information; processing the average section of voice information by using different window functions, wherein the window functions at least comprise rectangular windows, hamming windows, triangular windows and Hanning windows; the average section voice information is subjected to Fourier transformation to obtain frequency domain information of the voice signal and energy distribution in a frequency spectrum, and the frequency spectrum of the voice signal is subjected to modular squaring to obtain corresponding power spectrum voice information; processing the power spectrum voice information through a Mel triangular filter to obtain Mel voice information; inputting the Mel voice information into a discrete cosine transform formula for calculation to obtain MFCC characteristic real-time voice information; and reasoning the MFCC characteristic real-time voice information through a probability model to obtain probability distribution of each frame of audio frequency on all characters, and obtaining corresponding character output according to the probability distribution to obtain real-time text information.
Step 103, generating a corresponding electric signal according to the real-time text information, and generating a first control instruction according to the electric signal;
specifically, in this embodiment, a corresponding electrical signal is generated according to the real-time text information, and a first control instruction is generated according to the electrical signal; the first control instruction includes a system control instruction, a bit operation instruction, a data transfer instruction, an arithmetic operation instruction, a logic operation instruction, a branch control instruction, and an interrupt instruction.
104, controlling a wireless power supply module according to a first control instruction, wherein the wireless power supply module is used for supplying power to a heating module in the electric iron;
specifically, in this embodiment, the wireless power supply module is controlled according to the first control instruction, where the wireless power supply module is used to supply power to the heating module in the electric iron; the heating module is used for electrically heating purified water or water containing electrolyte in the electric iron.
Step 105, acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by using the second real-time control instruction;
specifically, in this embodiment, the gas acquiring device acquires real-time steam information, where the real-time steam information includes steam concentration information, steam temperature information and steam pressure information, and generates a corresponding second real-time control instruction according to the real-time steam information, and the wireless power supply module performs real-time control on the wireless power supply module by using the second real-time control instruction, where the wireless power supply module is a power supply placed inside the electric iron, and the wireless power supply module at least includes a lithium battery and a lithium iron phosphate battery.
And 106, acquiring real-time ironing information of the cloth, performing target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and performing target control on the power supply module by using the target control instruction.
Specifically, in this embodiment, real-time ironing information of the fabric is obtained by the fabric detecting device, where the real-time ironing information includes at least fabric material information and fabric fold information; acquiring corresponding real-time ironing information according to the material information and the material fold information of the cloth, wherein the real-time ironing information at least comprises ironing temperature information, ironing humidity information and steam pressure information; performing target adjustment on the second real-time control instruction according to the real-time ironing information to generate a target control instruction; performing target control on the power supply module by using the target control instruction, and adjusting the target control instruction if the electric iron does not reach the expected effect after target control; if the electric iron achieves the expected effect after target control, the target control instruction is input into a database for storage, and the expected effect is a result of detecting the flatness of the cloth through the cloth detection device.
The voice information acquisition module is used for acquiring real-time voice information around the electric iron, and performing voice information preprocessing on the real-time voice information to obtain target voice information; inputting the target voice information into a deep natural voice recognition model to perform voice information recognition, so as to obtain real-time text information; generating a corresponding electric signal according to the real-time text information, and generating a first control instruction according to the electric signal; the wireless power supply module is used for supplying power to the heating module in the electric iron; acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by using the second real-time control instruction; and acquiring real-time ironing information of the cloth, performing target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and performing target control on the power supply module by utilizing the target control instruction. The electric iron can be effectively controlled in real time by voice, the operations of switching on and switching off, heating up, cooling down and the like of the electric iron are performed according to the real-time voice information of a user, and the corresponding ironing temperature and steam are adjusted according to the cloth condition in the real-time ironing process, so that the stability of ironing operation is improved; the ironing operation can be performed under the condition that no electric wire is inserted, the convenience of the ironing operation is improved, and meanwhile, the efficiency of the ironing operation is improved.
In this embodiment, referring to fig. 2, in a second embodiment of an intelligent control method of a radio iron according to the present invention, inputting target voice information into a deep natural voice recognition model for voice information recognition, and obtaining real-time text information includes the following steps:
step 201, obtaining target voice information, and filtering a low-frequency signal in the target voice information by using a high-pass filter to obtain high-frequency voice information;
step 202, carrying out Fourier transform after framing the high-frequency voice information to obtain framing voice information, and dividing the framing voice information into voice information segments with the same size to obtain average segment voice information;
step 203, processing the average section of voice information by using different window functions, wherein the window functions at least comprise rectangular windows, hamming windows, triangular windows and hanning windows;
204, carrying out Fourier transform on the average section voice information to obtain frequency domain information of the voice signal and energy distribution in a frequency spectrum, and carrying out modulo square on the frequency spectrum of the voice signal to obtain corresponding power spectrum voice information;
step 205, processing the power spectrum voice information through a mel triangle filter to obtain mel voice information;
step 206, inputting the Mel voice information into a discrete cosine transform formula for calculation to obtain MFCC characteristic real-time voice information;
step 207, reasoning the real-time voice information of the MFCC features through a probability model to obtain probability distribution of each frame of audio on all characters, and obtaining corresponding character output according to the probability distribution to obtain real-time text information.
In this embodiment, referring to fig. 3, in a third embodiment of an intelligent control method of a wireless electric iron according to the present invention, real-time ironing information of a fabric is obtained, target adjustment is performed on a second real-time control command according to the real-time ironing information, a target control command is generated, and target control is performed on a power supply module by using the target control command, including the following steps:
step 301, acquiring real-time ironing information of cloth through a cloth detection device, wherein the real-time ironing information at least comprises cloth material information and cloth fold information;
step 302, acquiring corresponding real-time ironing information according to the material information and the fold information of the cloth, wherein the real-time ironing information at least comprises ironing temperature information, ironing humidity information and steam pressure information;
step 303, performing target adjustment on the second real-time control instruction according to the real-time ironing information to generate a target control instruction;
step 304, performing target control on the power supply module by using the target control instruction, and if the electric iron does not reach the expected effect after target control, adjusting the target control instruction;
and 305, if the electric iron achieves the expected effect after target control, inputting a target control instruction into a database for storage, wherein the expected effect is a result of detecting the flatness of the cloth through a cloth detection device.
The foregoing describes a method for intelligent control of a radio iron according to an embodiment of the present invention, and the following describes an intelligent control system of a radio iron according to an embodiment of the present invention, referring to fig. 4, an embodiment of the intelligent control system of a radio iron according to an embodiment of the present invention includes:
the voice acquisition module is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, and carrying out voice information preprocessing on the real-time voice information to obtain target voice information;
the voice recognition module is used for inputting the target voice information into the deep natural voice recognition model to perform voice information recognition so as to obtain real-time text information;
the instruction generation module is used for generating corresponding electric signals according to the real-time text information and generating a first control instruction according to the electric signals;
the wireless power supply module is used for controlling the wireless power supply module according to the first control instruction and is used for supplying power to the heating module in the electric iron;
the real-time control module is used for acquiring the real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by utilizing the second real-time control instruction;
the instruction adjustment module is used for acquiring real-time ironing information of the cloth, carrying out target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and carrying out target control on the power supply module by utilizing the target control instruction.
In this embodiment, referring to fig. 5, in a second embodiment of an intelligent control system of a wireless electric iron according to an embodiment of the present invention, a voice acquisition module includes the following submodules:
the microphone submodule is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, the voice information acquisition module at least comprises the step of acquiring the real-time voice information around the electric iron by utilizing a microphone, and the real-time voice information at least comprises Chinese voice information, english voice information and German voice information;
the voice processing sub-module is used for identifying the audio fragment information containing human voice in the real-time voice information by using a voice activity detection algorithm to obtain fragment real-time voice information;
the voice filtering sub-module is used for removing high-frequency voice information in the segment real-time voice information through a low-pass filter to obtain low-frequency real-time voice information;
and the segment removing sub-module is used for removing voice noise information in the low-frequency real-time voice information to obtain target voice information.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. An intelligent control system of a wireless electric iron is characterized by comprising the following modules:
the voice acquisition module is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, and carrying out voice information preprocessing on the real-time voice information to obtain target voice information;
the voice recognition module is used for inputting the target voice information into a deep natural voice recognition model to perform voice information recognition so as to obtain real-time text information;
the voice recognition module is used for acquiring target voice information, and inputting the target voice information into a deep natural voice recognition model for voice information recognition; the voice information identification comprises pre-emphasis, framing, windowing, fourier transformation, mel filter and discrete cosine transformation; the deep natural speech recognition model comprises an input layer, a fully connected network layer, a bidirectional circulating neural network layer and a softmax output layer; acquiring target voice information, and filtering a low-frequency signal in the target voice information by using a high-pass filter to obtain high-frequency voice information;
the voice recognition module is also used for carrying out Fourier transform after framing the high-frequency voice information to obtain framing voice information, and dividing the framing voice information into voice information segments with the same size to obtain average segment voice information; processing the average segment of speech information using different window functions, the window functions including rectangular windows, hamming windows, triangular windows, hanning windows; the average section voice information is subjected to Fourier transformation to obtain frequency domain information of a voice signal and energy distribution in a frequency spectrum, and the frequency spectrum of the voice signal is subjected to modular squaring to obtain corresponding power spectrum voice information; processing the power spectrum voice information through a Mel triangle filter to obtain Mel voice information; inputting the Mel voice information into a discrete cosine transform formula for calculation to obtain MFCC characteristic real-time voice information; reasoning the MFCC characteristic real-time voice information through a probability model to obtain probability distribution of each frame of audio on all characters, and obtaining corresponding character output according to the probability distribution to obtain real-time text information;
the instruction generation module is used for generating corresponding electric signals according to the real-time text information and generating a first control instruction according to the electric signals;
the instruction generation module is further used for generating a corresponding electric signal according to the real-time text information and generating a first control instruction according to the electric signal; the first control instruction comprises a system control instruction, a bit operation instruction, a data transmission instruction, an arithmetic operation instruction, a logic operation instruction, a branch control instruction and an interrupt instruction;
the wireless power supply module is used for controlling the wireless power supply module according to the first control instruction, and the wireless power supply module is used for supplying power to the heating module in the electric iron;
the wireless power supply module is further used for controlling the wireless power supply module according to the first control instruction, and the wireless power supply module is used for supplying power to the heating module in the electric iron; the heating module is used for electrically heating purified water or water containing electrolyte in the electric iron;
the real-time control module is used for acquiring real-time steam information, generating a corresponding second real-time control instruction according to the real-time steam information, and performing real-time control on the wireless power supply module by utilizing the second real-time control instruction;
the real-time control module is further used for acquiring real-time steam information through the gas acquisition device, wherein the real-time steam information comprises steam concentration information, steam temperature information and steam pressure information, and a corresponding second real-time control instruction is generated according to the real-time steam information; the wireless power supply module is controlled in real time by utilizing the second real-time control instruction, and is a power supply placed in the electric iron and comprises a lithium battery and a lithium iron phosphate battery;
the instruction adjusting module is used for acquiring real-time ironing information of the cloth, carrying out target adjustment on the second real-time control instruction according to the real-time ironing information, generating a target control instruction, and carrying out target control on the power supply module by utilizing the target control instruction;
the instruction adjusting module is further used for obtaining real-time ironing information of the cloth through the cloth detecting device, wherein the real-time ironing information comprises cloth material information and cloth fold information; acquiring corresponding real-time ironing information according to the material information and the material fold information of the cloth, wherein the real-time ironing information comprises ironing temperature information, ironing humidity information and steam pressure information; performing target adjustment on the second real-time control instruction according to the real-time ironing information to generate a target control instruction; performing target control on the power supply module by using the target control instruction, and adjusting the target control instruction if the electric iron does not reach the expected effect after target control; if the electric iron achieves the expected effect after target control, inputting a target control instruction into a database for storage, wherein the expected effect is a result of detecting the flatness of the cloth through a cloth detection device;
the voice acquisition module comprises the following submodules:
the microphone sub-module is used for acquiring real-time voice information around the electric iron through the voice information acquisition module, the voice information acquisition module is used for acquiring the real-time voice information around the electric iron by utilizing a microphone, and the real-time voice information comprises Chinese voice information, english voice information and German voice information;
the voice processing sub-module is used for identifying the audio fragment information containing human voice in the real-time voice information by using a voice activity detection algorithm to obtain fragment real-time voice information;
the voice filtering sub-module is used for removing high-frequency voice information in the fragment real-time voice information through a low-pass filter to obtain low-frequency real-time voice information;
and the segment removing sub-module is used for removing voice noise information in the low-frequency real-time voice information to obtain target voice information.
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