CN109235590A - Intelligent closestool control method and intelligent closestool - Google Patents
Intelligent closestool control method and intelligent closestool Download PDFInfo
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- CN109235590A CN109235590A CN201811124090.XA CN201811124090A CN109235590A CN 109235590 A CN109235590 A CN 109235590A CN 201811124090 A CN201811124090 A CN 201811124090A CN 109235590 A CN109235590 A CN 109235590A
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000008676 import Effects 0.000 claims abstract description 8
- 230000001755 vocal effect Effects 0.000 claims description 74
- 238000001514 detection method Methods 0.000 claims description 48
- 230000007613 environmental effect Effects 0.000 claims description 35
- 238000005286 illumination Methods 0.000 claims description 23
- 238000012360 testing method Methods 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 238000005406 washing Methods 0.000 claims description 7
- 238000004140 cleaning Methods 0.000 claims description 6
- 238000011010 flushing procedure Methods 0.000 claims description 5
- 241000208340 Araliaceae Species 0.000 claims description 4
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 4
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 4
- 235000008434 ginseng Nutrition 0.000 claims description 4
- 230000002618 waking effect Effects 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 6
- 230000015654 memory Effects 0.000 description 5
- 238000012806 monitoring device Methods 0.000 description 4
- 230000003321 amplification Effects 0.000 description 3
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- 238000003199 nucleic acid amplification method Methods 0.000 description 3
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- 238000010521 absorption reaction Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 210000001217 buttock Anatomy 0.000 description 1
- 230000001877 deodorizing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
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- 238000004321 preservation Methods 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03D—WATER-CLOSETS OR URINALS WITH FLUSHING DEVICES; FLUSHING VALVES THEREFOR
- E03D11/00—Other component parts of water-closets, e.g. noise-reducing means in the flushing system, flushing pipes mounted in the bowl, seals for the bowl outlet, devices preventing overflow of the bowl contents; devices forming a water seal in the bowl after flushing, devices eliminating obstructions in the bowl outlet or preventing backflow of water and excrements from the waterpipe
- E03D11/02—Water-closet bowls ; Bowls with a double odour seal optionally with provisions for a good siphonic action; siphons as part of the bowl
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- Acoustics & Sound (AREA)
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Abstract
This application involves a kind of intelligent closestool control methods.The described method includes: receiving the voice to be identified that sound pick up equipment obtains；Identify judge whether the voice to be identified is to wake up voice to the voice to be identified；If so, reading closestool parameter corresponding with the wake-up voice；The closestool parameter corresponding with the wake-up voice is sent to closestool control panel, so that the closestool control panel imports the closestool parameter corresponding with the wake-up voice；The closestool control panel is controlled using the closestool parameter corresponding with the wake-up voice as the currently used parameter of the intelligent closestool, and controls lavatory lid opening.The application realizes intelligent closestool automatic identification user identity by speech recognition, and according to the currently used parameter of user preferences adjust automatically closestool, saves the trouble of user's manual operation, convenient and efficient.
Description
Technical field
This application involves household cleaning appliances fields, more particularly to a kind of intelligent closestool control method and intelligent closestool.
Background technique
Closestool is a kind of common domestic cleaning tool.When using closestool in winter, since room temperature is lower, many people's habits
For flannelette washer on toilet seat cover.The problems such as flushing is inconvenient however, Conventional toilets still have, and rinse water temperature is too low.With section
The development of skill, intelligent closestool come into being, and more and more acceptable.Intelligent closestool possesses many special functions.Such as
Buttocks is peace and quiet, the lower part of the body is peace and quiet, movement is peace and quiet, ring heat preservation, warm wind drying, automatic deodorizing and mute takes a seat etc..Most convenient
It is, in addition to that can be operated by push button panel, to be equipped with remote control device specially also to realize these functions.User is using
When, it is gently pressed as long as holding remote controler, institute is functional all can easily to be realized.
However traditional intelligent closestool there is a problem of one it is very serious: different user is different using the habit of closestool, passes
System intelligent closestool can only manually adjust the use parameter of closestool by user, and traditional intelligence closestool can not the different use of automatic identification
Family, also can not be when user uses intelligent closestool, according to the use parameter of different user adjust automatically closestool.
Summary of the invention
Based on this, it is necessary to for traditional scheme for being difficult to automatic identification user and according to different user adjust automatically horse
Bucket uses the problem of parameter, provides a kind of intelligent closestool control method and intelligent closestool.
A kind of intelligent closestool control method, comprising:
Receive the voice to be identified that sound pick up equipment obtains；
The voice to be identified is identified, and judges whether the voice to be identified is to wake up voice；
If so, reading closestool parameter corresponding with the wake-up voice；
The closestool parameter corresponding with the wake-up voice is sent to closestool control panel, so that the closestool control panel
Import the closestool parameter corresponding with the wake-up voice；And
The closestool control panel is controlled by the closestool parameter corresponding with the wake-up voice as the intelligent closestool
Currently used parameter, and control the closestool control panel and open lavatory lid.
Above-mentioned intelligent closestool control method, the voice to be identified obtained by identification sound pick up equipment, judges described to be identified
Whether voice is to wake up voice, and closestool parameter corresponding with the wake-up voice is imported after being identified by, by the closestool
Currently used parameter of the parameter as intelligent closestool realizes intelligent closestool automatic identification user identity, and certainly according to user preferences
The currently used parameter of dynamic adjustment closestool, saves the trouble of user's manual operation, convenient and efficient.
In one embodiment, described that the voice to be identified is identified, and judge that the voice to be identified is
It is no to include: the step of voice to wake up
The voice to be identified is analyzed, to obtain vocal print to be identified；
Read multiple default sound-groove models in voice print database；
The vocal print to be identified and the multiple default sound-groove model are compared one by one, judged whether there is any described default
Sound-groove model and the voice print matching to be identified；
If so, judging the voice to be identified to wake up voice.
It is in one embodiment, described to compare the vocal print to be identified and the multiple default sound-groove model one by one,
Any default sound-groove model, which is judged whether there is, with the step of voice print matching to be identified includes:
Read the default sample vocal print similarity in the voice print database；
The vocal print similarity of the vocal print to be identified Yu the multiple default sound-groove model is calculated one by one；
If there is the vocal print similarity of any default sound-groove model and the vocal print to be identified not less than the sample sound
Line similarity then judges the preset sound-groove model and the voice print matching to be identified.
In one embodiment, before the voice to be identified that the reception sound pick up equipment obtains, the method is also wrapped
It includes:
Receive the user speech that the sound pick up equipment obtains；
The user speech is analyzed, user's vocal print is obtained；
The default sound-groove model is set by user's vocal print, and the default sound-groove model is stored in the sound
In line database.
In one embodiment, it is identified to the voice to be identified, judges the voice to be identified to wake up
After voice, the method also includes:
Environment measuring instruction is sent to environmental detection set, so that the environmental detection set is to current closestool use environment
It is detected；
The testing result of the environmental detection set is obtained, and judges whether to need to open illumination according to the testing result
Device；
It is opened if so, controlling the lighting device.
In one embodiment, described to send environment measuring instruction to environmental detection set, so that the environment measuring
The step of device detects current closestool use environment include:
To the environmental detection set sending time detection instruction, so that the environmental detection set detects the current horse
The time of bucket use environment.
In one embodiment, the testing result for obtaining the environmental detection set, and tied according to the detection
Fruit judges whether that needing to open lighting device step includes:
Read preset evening hours section in environment data base；
Judge whether the time of the current closestool use environment is in the preset evening hours section；
If so, judgement needs to open lighting device, subsequent step is executed.
In one embodiment, described to send environment measuring instruction to environmental detection set, so that the environment measuring
The step of device detects current closestool use environment include:
Intensity of illumination detection instruction is sent to the environmental detection set, so that the environmental detection set is to described current
The intensity of illumination of closestool use environment is detected.
In one embodiment, the testing result for obtaining the environmental detection set, and tied according to the detection
Fruit judges whether that needing to open lighting device step includes:
Read preset sample intensity of illumination in environment data base；
Judge whether the intensity of illumination of the current closestool use environment is less than the preset sample intensity of illumination；
If so, judgement needs to open lighting device, subsequent step is executed.
In one embodiment, the closestool parameter corresponding with the wake-up voice includes rinse water temperature parameter, punching
Wash hydraulic parameters, flushing flow rate parameter, washing time parameter, mobile one of cleaning parameters and toilet seat temperature or more
Kind.
A kind of intelligent closestool, the intelligent closestool control method referred to using foregoing teachings, the intelligent closestool include:
Sound pick up equipment, for obtaining voice to be identified；
Speech recognition equipment is electrically connected with the sound pick up equipment, for identifying to the voice to be identified, and is judged
Whether the voice to be identified is to wake up voice；The speech recognition equipment is also used to read horse corresponding with the wake-up voice
Bucket parameter；
Closestool control panel is electrically connected with the speech recognition equipment, described corresponding with the wake-up voice for importing
Closestool parameter；The closestool control panel is also used to control lavatory lid opening.
Above-mentioned intelligent closestool control method and closestool, the voice to be identified obtained by identification sound pick up equipment, are based on vocal print
Comparison method judges whether the voice to be identified is to wake up voice, and importing is corresponding with the wake-up voice after being identified by
Closestool parameter realize intelligent closestool automatic identification user using the closestool parameter as the currently used parameter of intelligent closestool
Identity, and according to the currently used parameter of user preferences adjust automatically closestool and automatic illuminating function is provided, it is manual to save user
The trouble of operation, it is convenient and efficient.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 2 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 3 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 4 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 5 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 6 is a kind of structural schematic diagram for intelligent closestool that the embodiment of the application provides；
Fig. 7 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Fig. 8 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Fig. 9 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Figure 10 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Figure 11 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Figure 12 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides；
Figure 13 is a kind of flow diagram for intelligent closestool control method that the embodiment of the application provides.
Appended drawing reference:
10 closestool bodys
110 lavatory lid
120 toilet seats
130 cisterns
140 closestool parameter control units
141 cover board control units
142 seat ring control units
143 water route control units
150 memories
160 environment monitoring devices
170 lighting devices
20 speech recognition equipments
210 pickup components
220 identifiers
230 readers
30 closestool control panels
310 parameters import component
320 controllers
Specific embodiment
In order to make the purpose of the application, technical solution and advantage are more clearly understood, right with reference to the accompanying drawings and embodiments
Intelligent closestool control method provided by the present application is further elaborated with intelligent closestool.It should be appreciated that described herein
Specific embodiment only explaining the application, be not used to limit the application.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality
It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, all should be considered as described in this specification.
This application provides a kind of intelligent closestools 100.As shown in Figure 1, in the embodiment of the application, the intelligence horse
Bucket 100 includes closestool body 10, speech recognition equipment 20 and closestool control panel 30.
It should be noted that the position of the speech recognition equipment 20 and the closestool control panel 30 and the closestool body 10
Set relationship without limitation.The speech recognition equipment 20 and the closestool control panel 30 can be set in the closestool body 10
On.The speech recognition equipment 20 and the closestool control panel 30 can also be independently arranged, and be electrically connected with the closestool body 10.
As long as can be realized the speech recognition equipment 20 and the closestool control panel 30 to be electrically connected i.e. with the closestool body 10 respectively
It can.
In the embodiment of the application, the speech recognition equipment 20 is set on the closestool body 10, the horse
Bucket control panel 30 is set on the closestool body 10.The closestool control panel 30 is electrically connected with the speech recognition equipment 20.
The speech recognition equipment 20 and the closestool control panel 30 can be set in any position of the closestool body 10
It sets, works normally and operate as long as not influencing the intelligent closestool 100.
In the embodiment of the application, the speech recognition equipment 20 is built in the closestool body 10, the horse
Bucket control panel 30 is set to the surface of the closestool body 10.
Above-mentioned intelligent closestool 100 obtains the voice to be identified by the speech recognition equipment 20, and identifies and judge institute
State whether voice to be identified is the wake-up voice, is imported and the wake-up language after being identified by the closestool control panel 30
The corresponding closestool parameter of sound realizes intelligent closestool using the closestool parameter as the currently used parameter of the intelligent closestool 100
100 automatic identification user identity, and the currently used parameter of the intelligent closestool 100 according to user preferences adjust automatically, are saved
The trouble of user's manual key adjustment, it is convenient and efficient.
As shown in Fig. 2, the speech recognition equipment 20 includes pickup component 210, identification in the embodiment of the application
Device 220 and reader 230.
The pickup component 210 is for obtaining voice to be identified.The identifier 220 is electrically connected with the pickup component 210
It connects.The identifier 220 judges whether the voice to be identified is to wake up language for identifying to the voice to be identified
Sound.The reader 230 is electrically connected with the closestool body 10.The reader 230 is used to judge institute in the identifier 220
After voice to be identified is stated to wake up voice, closestool parameter corresponding with the wake-up voice is read.
In the embodiment of the application, the pickup component 210 includes multiple microphones, and the multiple microphone is in array point
Cloth.
As shown in figure 3, the closestool control panel 30 includes that parameter imports component 310 in the embodiment of the application.
The parameter imports component 310 and is used for after the identifier 220 judges the voice to be identified to wake up voice,
Import the closestool parameter corresponding with the wake-up voice.
As shown in figure 4, the closestool body 10 includes lavatory lid 110, toilet seat in the embodiment of the application
120, cistern 130 and closestool parameters unit 140.
The lavatory lid 110, the toilet seat 120, the cistern 130 respectively with the closestool state modulator
Unit 140 is electrically connected.
As shown in figure 4, the closestool control panel 30 further includes controller 320 in the embodiment of the application.
The controller 320 is connect with the closestool parameter control unit 140, is used for the closestool parameter control unit
140 send instruction.The closestool parameter control unit 140, will the horse corresponding with the wake-up voice according to described instruction
Currently used parameter of the bucket parameter as the intelligent closestool 100.And it controls the lavatory lid 110 and opens.
As shown in figure 5, the closestool parameter control unit 140 includes that cover board control is single in the embodiment of the application
Member 141, seat ring control unit 142 and water route control unit 143.
The cover board control unit 141 is electrically connected with the lavatory lid 110.The cover board control unit 141 be used for according to
It is opened according to lavatory lid 110 described in the closestool state modulator corresponding with the wake-up voice.
The seat ring control unit 142 is electrically connected with the toilet seat 120.The seat ring control unit 142 be used for according to
The temperature of the toilet seat 120 is adjusted according to the closestool parameter corresponding with the wake-up voice.
The water route control unit 143 is electrically connected with the cistern 130.The water route control unit 143 is for controlling
System adjusts the water circuit system parameter of the intelligent closestool 100 according to the closestool parameter corresponding with the wake-up voice.It is described
The water circuit system parameter of intelligent closestool 100 includes rinse water temperature parameter, washing pressure parameter, flushing flow rate parameter, washing time
Parameter, one of mobile cleaning parameters or a variety of.
As shown in fig. 6, the closestool body 10 further includes memory 150 in the embodiment of the application.
The memory 150 is built in the closestool body 10.The memory 150 is for storing and the wake-up language
The corresponding closestool parameter of sound, so that the reader 230 is read.
In the embodiment of the application, the closestool body 10 further includes environment monitoring device 160, for current horse
Bucket use environment is detected.
As shown in fig. 6, the closestool body 10 further includes lighting device 170 in the embodiment of the application.
The lighting device 170 is for realizing illumination functions.The lighting device 170 and the environment monitoring device 160
Electrical connection.The lighting device 170 is also used to obtain the testing result of the environmental detection set, and according to the testing result
It is determined whether to enable.
Above-mentioned intelligent closestool 100, can be by realizing 20 automatic identification user identity of speech recognition equipment, and according to user
Like the currently used parameter of adjust automatically closestool and automatic illuminating function is provided, saves the trouble of user's manual operation, it is convenient
Fast.
Present invention also provides a kind of control methods of intelligent closestool 100, are applied to above-mentioned intelligent closestool 100.
In the embodiment of the application, the control method of the intelligent closestool 100 includes:
As shown in fig. 7, S100, receives the voice to be identified that pickup component 210 obtains.
In the embodiment of the application, the pickup component 210 is provided with pickup range.The pickup component 210 obtains
Take the voice to be identified within the scope of the pickup.In the embodiment of the application, the pickup be may range from
One is the center of circle, the circle that radius is 3 meters with the pickup component 210.For example, when user enters the pickup component 210
The pickup within the scope of, also, when issuing voice to be identified within the scope of the pickup, the pickup component 210 can be obtained
Take the voice to be identified.
In the embodiment of the application, the pickup component 210 can be independently disposed to appointing for the intelligent closestool 100
Meaning position.The pickup component 210 is electrically connected with the speech recognition equipment 20.It is described to pick up in the embodiment of the application
Sound component 210 can be built in the speech recognition equipment 20.
After the pickup component 210 obtains the voice to be identified, the pickup component 210 is by the voice to be identified
It is sent to the speech recognition equipment 20.The speech recognition equipment 20 receives the described wait know of the acquisition of pickup component 210
Other voice.In the embodiment of the application, the pickup component 210 is after obtaining the voice to be identified, the pickup group
Part 210 converts electrical signal form by voice signal form for the voice to be identified.The pickup component 210 translates into electricity
The voice to be identified of signal form is sent to the speech recognition equipment 20.
In the embodiment of the application, the pickup component 210 may include multiple microphones.The multiple microphone can be with
For array distribution.The multiple microphone can reduce influence of noise when obtaining the voice to be identified by array distribution, increase
Strong environmental suitability increases system reliability, and, it can accurately distinguish the sound bearing of the voice to be identified.
S200 identifies the voice to be identified, and judges whether the voice to be identified is to wake up voice.
Specifically, the voice to be identified includes subscriber identity information.The speech recognition equipment 20 to described wait know
During other voice is identified, the subscriber identity information for including in the voice to be identified is identified, to judge institute
State whether voice to be identified is to wake up voice.If the subscriber identity information identifies successfully, the voice to be identified is judged to call out
Awake voice.
It is described that the voice to be identified is identified, and judge whether the voice to be identified is the step of waking up voice
Including various embodiments.Be hereafter it is a kind of by Application on Voiceprint Recognition judge the voice to be identified whether be wake up voice implementation
Example.
As shown in figure 8, in the embodiment of the application, the step S200 includes:
S210 analyzes the voice to be identified, to obtain vocal print to be identified.
Specifically, the vocal print to be identified includes the subscriber identity information.
In the embodiment of the application, described the step of analyzing the voice to be identified may include sound drop
It makes an uproar, one of sound amplification and vocal print feature extraction or a variety of.Wherein, the noise reduction step can take a variety of implementations
Mode reduces the noise in the voice to be identified.For example, sound insulation, one of sound absorption and noise elimination or a variety of.The sound is put
Big step can realize the amplification of the voice to be identified by the built-in sound amplifier in the speech recognition equipment 20.
The vocal print feature extraction step can be with are as follows: multiple vocal print features in the voice to be identified are extracted, it will
The multiple vocal print feature splicing forms the vocal print to be identified.The vocal print feature, that is, the subscriber identity information.No
The sound that same human hair goes out has the different vocal print features.Therefore the vocal print feature can be used as the user identity letter
Breath, the foundation as Application on Voiceprint Recognition to be identified described in subsequent step.
In the embodiment of the application, the speech recognition equipment 20 sequentially executes the voice to be identified
The noise reduction step, the sound amplification procedure and the vocal print feature extraction step, to obtain the vocal print to be identified.
S220 reads multiple default sound-groove models in voice print database.
In the embodiment of the application, the voice print database is stored in the memory 150.
In the embodiment of the application, the default sound-groove model includes the subscriber identity information.Specifically, each
A default sound-groove model is corresponding with subscriber identity information described in each.In other words, the default sound-groove model with it is described
Subscriber identity information is one-to-one relationship.In the embodiment of the application, the default sound-groove model includes described
Subscriber identity information is the vocal print feature.It is special that each described default sound-groove model may include multiple and different vocal prints
Sign.According to the plurality of different vocal print feature, it is possible to distinguish multiple default sound-groove models.
In the embodiment of the application, the voice print database is built in the speech recognition equipment 20.
In the embodiment of the application, the voice print database is built in server.The speech recognition equipment 20
The server can be connected by internet.Multiple default sound in voice print database are read in the speech recognition equipment 20
When line model, the speech recognition equipment 20 sends the request message for reading the default sound-groove model to the server, with
Read the multiple default sound-groove model.
S230 compares the vocal print to be identified and the multiple default sound-groove model one by one, judges whether there is any institute
State default sound-groove model and the voice print matching to be identified.
The specific steps of the step S230 are described in detail below.
As shown in figure 9, in the embodiment of the application, the step S230 includes:
S231 reads the default sample vocal print similarity in the voice print database.
Wherein, the default sample vocal print similarity presets for user.
In the embodiment of the application, the default sample vocal print similarity can be any one in 60%-100%
A numerical value.It can be 80% that sample vocal print similarity is preset in the embodiment of the application, described in user preset.
S232 calculates the vocal print similarity of the vocal print to be identified Yu the multiple default sound-groove model one by one.
In the embodiment of the application, user can acquire each frequency band and wavelength period by a large amount of artificial experiments
The vocal print to be identified.User can be with customized multiple default sound-groove models.The default sound-groove model can be foundation
User voice or user's relatives' sound generate.User can be by comparing the multiple vocal print to be identified and the multiple default sound
The vocal print feature of line model establishes multiple vocal print similarities.
" vocal print-to be identified presets sound-groove model-vocal print similarity table " is ultimately generated, as shown in the table.
Vocal print-to be identified presets sound-groove model-vocal print similarity table
" vocal print-to be identified presets sound-groove model-vocal print similarity table " can store in the voice print database.
When executing the step S232, the speech recognition equipment 20 reads described in the voice print database that " vocal print-to be identified is pre-
If sound-groove model-vocal print similarity table ".The speech recognition equipment 20 is index with the vocal print to be identified, described " wait know
Other vocal print-presets sound-groove model-vocal print similarity table " in one by one search for it is similar to the vocal print of the multiple default sound-groove model
Degree.According to described in " vocal print-to be identified presets sound-groove model-vocal print similarity table ", the available vocal print to be identified and institute
State the vocal print similarity of multiple default sound-groove models.
S233, if there is the vocal print similarity of any default sound-groove model and the vocal print to be identified not less than the sample
This vocal print similarity then judges the preset sound-groove model and the voice print matching to be identified.
In the embodiment of the application, the speech recognition equipment 20 is index with the vocal print to be identified, described
The vocal print with the multiple default sound-groove model is searched in " vocal print-to be identified presets sound-groove model-vocal print similarity table " one by one
After similarity, the step S233 is executed.Specifically, if the speech recognition equipment 20 search it is any with not less than the sample
The vocal print similarity of this vocal print similarity, judges the preset sound-groove model and the voice print matching to be identified.
S240, if so, judging the voice to be identified to wake up voice.
Specifically, after judging the voice to be identified to wake up voice, the speech recognition equipment 20 executes subsequent step
Suddenly to wake up the intelligent closestool 100.
In the embodiment of the application, if it is not, terminating subsequent step.
If multiple default sound-groove models are not with the voice print matching to be identified, the speech recognition equipment 20 judges
The non-wake-up voice of voice to be identified.It is appreciated that the voice to be identified can not wake up the intelligent closestool 100,
The speech recognition equipment 20 terminates subsequent step.
S300, if so, reading closestool parameter corresponding with the wake-up voice.
In the embodiment of the application, the closestool parameter corresponding with the wake-up voice includes rinse water temperature ginseng
Number, washing pressure parameter, flushing flow rate parameter, washing time parameter, mobile one of cleaning parameters and toilet seat temperature or
It is a variety of.
The closestool parameter is corresponding with the wake-up voice.The wake-up voice is corresponding with the preset sound-groove model.
In other words, the closestool parameter and the subscriber identity information correspond.For the closestool parameter by user preset, user can be with
According to personal preference, the closestool parameter is set.
In the embodiment of the application, if it is not, terminating subsequent step.
If the speech recognition equipment 20 judges the non-wake-up voice of the voice to be identified, the voice to be identified without
Method wakes up the intelligent closestool 100, and the speech recognition equipment 20 terminates subsequent step.
The closestool parameter corresponding with the wake-up voice is sent to closestool control panel 30, so that the horse by S500
Bucket control panel 30 imports the closestool parameter corresponding with the wake-up voice.
It is described to be preset by the closestool control panel 30 according to personal preference in the embodiment of the application
The closestool parameter.After setting, the speech recognition equipment 20 establishes the closestool parameter and the default vocal print mould
The corresponding relationship of type, and the closestool parameter and the default sound-groove model are correspondingly stored in the voice print database
In.
S700 controls the closestool control panel 30 for the closestool parameter corresponding with the wake-up voice as the intelligence
The currently used parameter of energy closestool 100, and control the closestool control panel 30 and open lavatory lid 110.
After the closestool control panel 30 opens the lavatory lid 110, the closestool ginseng of oneself hobby is can be used in user
Number goes to the toilet.The implementation procedure of entire 100 control method of intelligent closestool realizes the load automatically of intelligent closestool 100
Preset closestool parameter is liked according to individual subscriber, eliminates while giving user's comfort and closestool ginseng is manually set
Several steps, it is simple and easy to do.
Above-mentioned intelligent closestool control method, the voice to be identified obtained by identification sound pick up equipment, judges described to be identified
Whether voice is to wake up voice, and closestool parameter corresponding with the wake-up voice is imported after being identified by, by the closestool
Currently used parameter of the parameter as intelligent closestool realizes intelligent closestool automatic identification user identity, and certainly according to user preferences
The currently used parameter of dynamic adjustment closestool, saves the trouble of user's manual operation, convenient and efficient.
As shown in Figure 10, in the embodiment of the application, before executing the step S100, the method also includes
Step S001-S003.The step S001-S003 presets the default vocal print by the pickup component 210 for user
The step of model.
S001 receives the user speech that the pickup component 210 obtains.
In the embodiment of the application, the user speech can be at least one voice fields.For example, user calls out
" small intelligence ", the pickup component 210 obtain the user speech that user issues.
S002 analyzes the user speech, obtains user's vocal print.
The step S002 in the step S210 to voice carry out analysis obtain the principle of vocal print it is consistent, herein no longer
It repeats.
S003 sets the default sound-groove model for user's vocal print, and the default sound-groove model is stored in
In the voice print database.
By executing the step S001-S003, so that the default sound-groove model includes the subscriber identity information, just
When executing the step S100-S700, the speech recognition equipment 20 identifies the voice to be identified.
After executing the step S001-S003, when user needs using the intelligent closestool 100, user calls out again
When the same voice fields, the intelligent closestool 100 can execute the step S100-S700 automatically, complete the intelligence
The importing of the user individual closestool parameter of energy closestool 100.For example, user needs only call out again using intelligent closestool 100
" small intelligence ", the intelligent closestool 100 can be waken up by the voice " small intelligence " to be identified automatically, and the intelligent closestool 100 is automatic
The closestool parameter corresponding with user preferences is imported, with for users to use.
In the embodiment of the application, the control method of the intelligent closestool 100 further includes opening lighting device 170
Step.
As shown in figure 11, in the embodiment of the application, after executing the step S300, the method is also wrapped
It includes:
S400 sends environment measuring instruction to environmental detection set, so that the environmental detection set makes current closestool
It is detected with environment.
In the embodiment of the application, the current closestool use environment can be the area of the pickup range covering
Domain.The range of the i.e. described current closestool use environment is consistent with the pickup range.
In the embodiment of the application, user can preset the range of the current closestool use environment.It is described current
It is consistent that the range of closestool use environment can refuse the pickup range.
S600 obtains the testing result of the environmental detection set, and judges whether to need to open according to the testing result
Open lighting device 170.
In the embodiment of the application, the environmental detection set detects the illumination feelings of the current closestool use environment
Condition.
S800 is opened if so, controlling the lighting device 170.
Specifically, one or more lighting devices 170 built in the intelligent closestool 100.When judgement needs to open illumination dress
When setting 17030, controls the lighting device 170 and open.
In the embodiment of the application, the step S400 includes:
S410, to the environmental detection set sending time detection instruction, so that described in environmental detection set detection
The time of current closestool use environment.
As shown in figure 12, in the embodiment of the application, the step S600 includes:
S610 reads preset evening hours section in environment data base.
Specifically, user preset one or more periods are evening hours section.For example, setting 9 is daytime when 18
Period.Setting 0 is when 9,18 be evening hours section when 24.
S630, judges whether the time of the current closestool use environment is in the preset evening hours section.
Specifically, if it is not, judgement does not need to open the lighting device 170,
S650 executes subsequent step if so, judgement needs to open lighting device 170.
The lighting device 170 can be incandescent lamp, one of fluorescent lamp and LED light, but be not limited to above-mentioned light source.
The control method of above-mentioned intelligent closestool 100 detects the current closestool use environment by environmental detection set
Time, judge whether the time of the current closestool use environment is in preset evening hours section, and according to judging result
Judge whether to need to open lighting device 170, facilitates user's intelligent closestool 100 described in night use.
In the embodiment of the application, the step S400 includes:
S420 sends intensity of illumination detection instruction to the environmental detection set, so that the environmental detection set is to institute
The intensity of illumination for stating current closestool use environment is detected.
Specifically, the environment monitoring device 160 is an optical sensor.The optical sensor can detecte described
The practical light conditions of current closestool use environment.
As shown in figure 13, in the embodiment of the application, the step S600 includes:
S620 reads preset sample intensity of illumination in environment data base.
Specifically, the sample intensity of illumination is by user preset.
S640, judges whether the intensity of illumination of the current closestool use environment is less than the preset sample light according to strong
Degree.
Specifically, if it is not, the intensity of illumination of the i.e. described current closestool use environment is greater than or equal to the preset sample
Intensity of illumination, judgement do not need to open the lighting device 170.
S660 executes subsequent step if so, judgement needs to open lighting device 170.
Specifically, if so, the intensity of illumination of the i.e. described current closestool use environment is less than the preset sample light according to strong
Degree, judgement need to open the lighting device 170.
Above-mentioned intelligent closestool control method and closestool, the voice to be identified obtained by identification sound pick up equipment, are based on vocal print
Comparison method judges whether the voice to be identified is to wake up voice, and importing is corresponding with the wake-up voice after being identified by
Closestool parameter realize intelligent closestool automatic identification user using the closestool parameter as the currently used parameter of intelligent closestool
Identity, and according to the currently used parameter of user preferences adjust automatically closestool and automatic illuminating function is provided, it is manual to save user
The trouble of operation, it is convenient and efficient.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
The limitation to the application the scope of the patents therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the concept of this application, various modifications and improvements can be made, these belong to the guarantor of the application
Protect range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (11)
1. a kind of intelligent closestool control method characterized by comprising
Receive the voice to be identified that sound pick up equipment obtains；
The voice to be identified is identified, and judges whether the voice to be identified is to wake up voice；
If so, reading closestool parameter corresponding with the wake-up voice；
The closestool parameter corresponding with the wake-up voice is sent to closestool control panel, so that the closestool control panel imports
The closestool parameter corresponding with the wake-up voice；And
The closestool control panel is controlled using closestool parameter the working as the intelligent closestool corresponding with the wake-up voice
It is preceding to use parameter, and control the closestool control panel and open lavatory lid.
2. intelligent closestool control method according to claim 1, which is characterized in that described to be carried out to the voice to be identified
Identification, and judge whether the voice to be identified is the step of waking up voice and includes:
The voice to be identified is analyzed, to obtain vocal print to be identified；
Read multiple default sound-groove models in voice print database；
The vocal print to be identified and the multiple default sound-groove model are compared one by one, judge whether there is any default vocal print
Model and the voice print matching to be identified；
If so, judging the voice to be identified to wake up voice.
3. intelligent closestool control method according to claim 2, which is characterized in that described by the vocal print to be identified and institute
It states multiple default sound-groove models to compare one by one, judges whether there is any default sound-groove model and the voice print matching to be identified
The step of include:
Read the default sample vocal print similarity in the voice print database；
The vocal print similarity of the vocal print to be identified Yu the multiple default sound-groove model is calculated one by one；
If thering is any default sound-groove model and the vocal print similarity of the vocal print to be identified to be not less than the sample vocal print phase
Like degree, then the preset sound-groove model and the voice print matching to be identified are judged.
4. intelligent closestool control method according to claim 3, which is characterized in that obtained in the reception sound pick up equipment
Before voice to be identified, the method also includes:
Receive the user speech that the sound pick up equipment obtains；
The user speech is analyzed, user's vocal print is obtained；
The default sound-groove model is set by user's vocal print, and the default sound-groove model is stored in the vocal print number
According in library.
5. intelligent closestool control method according to claim 1, which is characterized in that know to the voice to be identified
Not, after judging the voice to be identified to wake up voice, the method also includes:
Environment measuring instruction is sent to environmental detection set, so that the environmental detection set carries out current closestool use environment
Detection；
The testing result of the environmental detection set is obtained, and judges whether to need to open illumination dress according to the testing result
It sets；
It is opened if so, controlling the lighting device.
6. intelligent closestool control method according to claim 5, which is characterized in that described to send ring to environmental detection set
Border detection instruction, so that the environmental detection set includes: the step of detection to current closestool use environment
To the environmental detection set sending time detection instruction, so that the environmental detection set detects the current closestool and makes
With the time of environment.
7. intelligent closestool control method according to claim 6, which is characterized in that described to obtain the environmental detection set
Testing result, and judge whether that needing to open lighting device step includes: according to the testing result
Read preset evening hours section in environment data base；
Judge whether the time of the current closestool use environment is in the preset evening hours section；
If so, judgement needs to open lighting device, subsequent step is executed.
8. intelligent closestool control method according to claim 5, which is characterized in that described to send ring to environmental detection set
Border detection instruction, so that the environmental detection set includes: the step of detection to current closestool use environment
Intensity of illumination detection instruction is sent to the environmental detection set, so that the environmental detection set is to the current closestool
The intensity of illumination of use environment is detected.
9. intelligent closestool control method according to claim 8, the testing result for obtaining the environmental detection set,
And judge whether that needing to open lighting device step includes: according to the testing result
Read preset sample intensity of illumination in environment data base；
Judge whether the intensity of illumination of the current closestool use environment is less than the preset sample intensity of illumination；
If so, judgement needs to open lighting device, subsequent step is executed.
10. -9 described in any item intelligent closestool control methods according to claim 1, which is characterized in that the described and wake-up
The corresponding closestool parameter of voice includes rinse water temperature parameter, washing pressure parameter, flushing flow rate parameter, washing time parameter, shifting
Dynamic one of cleaning parameters and toilet seat temperature or a variety of.
11. a kind of intelligent closestool uses the described in any item intelligent closestool control methods of claim 1-9, which is characterized in that institute
Stating intelligent closestool includes:
Sound pick up equipment, for obtaining voice to be identified；
Speech recognition equipment is electrically connected with the sound pick up equipment, for identifying to the voice to be identified, and described in judgement
Whether voice to be identified is to wake up voice；The speech recognition equipment is also used to read closestool ginseng corresponding with the wake-up voice
Number；
Closestool control panel is electrically connected with the speech recognition equipment, for importing the closestool corresponding with the wake-up voice
Parameter；The closestool control panel is also used to control lavatory lid opening.
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| CN201811124090.XA CN109235590A (en) | 2018-09-26 | 2018-09-26 | Intelligent closestool control method and intelligent closestool |
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