CN109355863B - The intelligent control method and car washing installation of car washing installation - Google Patents
The intelligent control method and car washing installation of car washing installation Download PDFInfo
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- CN109355863B CN109355863B CN201811326381.7A CN201811326381A CN109355863B CN 109355863 B CN109355863 B CN 109355863B CN 201811326381 A CN201811326381 A CN 201811326381A CN 109355863 B CN109355863 B CN 109355863B
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- 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
- D06F33/00—Control of operations performed in washing machines or washer-dryers
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- 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
- D06F43/00—Dry-cleaning apparatus or methods using volatile solvents
- D06F43/007—Dry cleaning methods
-
- 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
- D06F58/00—Domestic laundry dryers
- D06F58/30—Drying processes
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- 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
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
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- 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
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/02—Characteristics of laundry or load
- D06F2103/08—Humidity
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- D06F2202/12—
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- D06F2212/02—
-
- 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
- D06F58/00—Domestic laundry dryers
- D06F58/32—Control of operations performed in domestic laundry dryers
- D06F58/34—Control of operations performed in domestic laundry dryers characterised by the purpose or target of the control
- D06F58/36—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry
- D06F58/38—Control of operational steps, e.g. for optimisation or improvement of operational steps depending on the condition of the laundry of drying, e.g. to achieve the target humidity
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Control Of Washing Machine And Dryer (AREA)
Abstract
The application provides the intelligent control method and car washing installation of a kind of car washing installation.The described method includes: obtaining current weather data；Identify the degree of fouling of clothing；Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing；Disposition of the state modulator to clothing is disposed according to the clothing.Pass through the scheme of the application, determine that car washing installation is directed to the disposition parameter of clothing according to weather data and clothing degree of fouling, it is capable of determining that more suitable clothing processing parameter, improves user experience, the abrasion for improving work efficiency, reducing clothing and water-saving power saving.
Description
Technical field
This application involves the intelligent control method of car washing installation correlative technology field more particularly to a kind of car washing installation and wash
Apparatus of laundry.
Background technique
Existing car washing installation such as washing machine washes that dry all-in-one machine, dry cleaner be nearly all that each mode corresponds to certain washing
Time, certain other clothes washing parameters (such as: water level, temperature, revolving speed), to change clothes washing parameters, user need to go to set manually
It is fixed, inefficiency, and journey cannot be gone whether the washing time of control washing clothes, laundry degree, drying and/or dried well
Degree, long-term accumulation increase abrasion and the unnecessary water, electricity waste of clothing.
In view of the above-mentioned problems, not yet proposing effective solution mode at present
Summary of the invention
In view of this, the application proposes the intelligent control method and car washing installation of a kind of car washing installation, according to current weather
Data and clothing degree of fouling determine that car washing installation can determine for the disposition parameter of clothing from there through automatic adjustment
More suitable clothing processing parameter out improves user experience, improves work efficiency, reduces the abrasion of clothing and is water-saving
Power saving.
According to the one aspect of the application, a kind of intelligent control method of car washing installation is provided, comprising: obtain current weather
Data；Identify the degree of fouling of clothing；It is determined at the clothing of car washing installation according to the degree of fouling of the weather data and clothing
Set parameter；Disposition of the state modulator to clothing is disposed according to the clothing.
Further, the weather data includes at least one of: real-time weather conditions, air quality and/or surrounding
Ambient temperature and humidity；And/or the degree of fouling of the identification clothing of the sensor by being arranged in car washing installation interior bucket；And/or according to
The degree of fouling of the weather data and clothing determines the clothing disposition parameter of car washing installation, comprising: according to the weather data
Determine that the clothing of car washing installation disposes parameter by fuzzy reasoning with the degree of fouling of clothing；And/or the clothing disposition ginseng
Number includes at least one of: washing mode, wash time, drying degree.
Further, the real-time weather conditions, air quality are obtained by network；And/or
The sensor in the setting of car washing installation interior bucket is photoelectric sensor；And/or the fuzzy reasoning includes: pair
The degree of fouling of the weather data and clothing carries out Segment evaluation and blurring result is calculated, according to blurring result from pre-
If fuzzy rule base in search the rule of correspondence with obtain clothing disposition parameter.
Further, determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing,
It include: the clothing for determining car washing installation by fuzzy reasoning according to the degree of fouling of partial data and clothing in the weather data
Object disposes parameter one；The clothing disposition ginseng of car washing installation is determined by fuzzy reasoning according to remainder data in the weather data
Number two；Clothing disposition parameter one and clothing disposition parameter two at least have the identical subparameter in part, to the phase
Same subparameter determines it as the final correspondence subparameter of the clothing disposition parameter based on selection.
Further, in response to detecting that specific instruction is triggered and executes the method；And/or in car washing installation
Show that clothing described in screen display disposes parameter.
According to further aspect of the application, a kind of car washing installation is provided, comprising: weather data acquiring unit is used for
Obtain current weather data；Clothing degree of fouling detection unit, for identification degree of fouling of clothing；Data processing unit is used
Parameter is disposed in the clothing for determining car washing installation according to the degree of fouling of the weather data and clothing；Control unit is used for root
Disposition according to clothing disposition state modulator to clothing.
Further, the weather data includes at least one of: real-time weather conditions, air quality and/or surrounding
Ambient temperature and humidity；And/or the degree of fouling of the identification clothing of the sensor by being arranged in car washing installation interior bucket；And/or according to
The degree of fouling of the weather data and clothing determines the clothing disposition parameter of car washing installation, comprising: according to the weather data
Determine that the clothing of car washing installation disposes parameter by fuzzy reasoning with the degree of fouling of clothing；And/or the clothing disposition ginseng
Number includes at least one of: washing mode, wash time, drying degree.
Further, the real-time weather conditions, air quality are obtained by network；And/or
The sensor in the setting of car washing installation interior bucket is photoelectric sensor；And/or the fuzzy reasoning includes: pair
The degree of fouling of the weather data and clothing carries out Segment evaluation and blurring result is calculated, according to blurring result from pre-
If fuzzy rule base in search the rule of correspondence with obtain clothing disposition parameter.
Further, determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing,
It include: the clothing for determining car washing installation by fuzzy reasoning according to the degree of fouling of partial data and clothing in the weather data
Object disposes parameter one；The clothing disposition ginseng of car washing installation is determined by fuzzy reasoning according to remainder data in the weather data
Number two；Clothing disposition parameter one and clothing disposition parameter two at least have the identical subparameter in part, to the phase
Same subparameter determines it as the final correspondence subparameter of the clothing disposition parameter based on selection.
Further, described device is in response to detecting that the specific specific instruction is triggered and enables the weather data
The movement of acquiring unit, clothing degree of fouling detection unit, data processing unit and control unit executes；And/or the dress
Setting further includes display screen, for showing the clothing disposition parameter.
According to the intelligent control method and car washing installation of a kind of car washing installation that the application proposes, according to weather data and clothing
Object degree of fouling determines that car washing installation is directed to the disposition parameter of clothing, from there through automatic adjustment, is capable of determining that more suitable
Suitable clothing processing parameter improves user experience, the abrasion for improving work efficiency, reducing clothing and water-saving power saving.
Above description is only the general introduction of technical scheme, in order to better understand the technological means of the application,
And can be implemented in accordance with the contents of the specification, with the preferred embodiment of the application and cooperate attached drawing below detailed description is as follows.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 shows a kind of schematic diagram of an embodiment of car washing installation of the application；
Fig. 2 shows a kind of schematic diagrames of an embodiment of the intelligent control method of car washing installation of the application；
Fig. 3 shows the schematic diagram of an embodiment of the input quantity membership function of the application；
Fig. 4 shows the schematic diagram of an embodiment of the input quantity membership function of the application；
Fig. 5 shows the schematic diagram of an embodiment of the laundry process of the application；
Fig. 6 shows the schematic diagram of an embodiment of the drying index recommended flowsheet of the application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Fig. 1 shows a kind of schematic diagram of an embodiment of car washing installation of the application.
As shown in Figure 1, the car washing installation 100 includes weather data acquiring unit 110, clothing degree of fouling detection unit
120, data processing unit 130 and control unit 140.
Car washing installation 100 such as comprising washing machine, laundry drying integral machine, dry cleaner it is various can be used in washing and/
Or the machine of drying clothing.
Fig. 2 shows a kind of schematic diagrames of an embodiment of the intelligent control method of car washing installation of the application.
Car washing installation 100 executes intelligent control method as shown in Figure 2, and this method comprises the following steps:
S110 obtains current weather data；
S120 identifies the degree of fouling of clothing；
S130 determines that the clothing of car washing installation disposes parameter according to the degree of fouling of weather data and clothing；
S140 disposes disposition of the state modulator to clothing according to clothing.
In step s 110, weather data acquiring unit 110 obtains current weather data.As an example, weather data packet
Include at least one of: real-time weather conditions, air quality and/or ambient enviroment temperature and humidity.
Optionally, real-time weather conditions, air quality are obtained by network, for example, car washing installation goes to obtain by internet
It takes, alternatively, first obtaining real-time weather conditions, air quality by the application program on user terminal such as mobile phone, then by car washing installation
The real-time weather conditions, air quality are received from user terminal by local area network or short distance network, it is without being limited thereto, as long as
Can obtain real-time weather conditions, air quality scheme all within the scope of protection of this application.Optionally, in addition, air
Quality, weather conditions may be displayed on the display screen of car washing installation with for reference.
Optionally, the temperature and humidity of ambient enviroment is detected by Temperature Humidity Sensor.As long as ring around washing machine can be detected
The temperature and humidity in border, Temperature Humidity Sensor may be mounted on car washing installation, also may be mounted at any position around washing machine,
Can on the subscriber terminal, when installation on the subscriber terminal, then car washing installation can by local area network or short distance network from
User terminal obtains ambient enviroment temperature and humidity.
In the step s 120, clothing degree of fouling detection unit 120 identifies the degree of fouling of clothing.It should be understood that being
The optimization of detersive efficiency and effect, the degree of fouling of clothing have certainly the parameters such as the duration, mode, water temperature of washing
Qualitatively influence.Since clothing contamination level is related with the dirty degree of washing water, the dirty degree of water, institute related with the light transmittance of water again
As an example, the dirty journey of identification clothing can be gone by the sensor such as photoelectric sensor being arranged in car washing installation interior bucket
Degree, certainly, sensor setting position are not limited to washing machine inner tub, may be mounted at any position that can detect clothing contamination level
It sets, the sensor is also not necessarily limited to photoelectric sensor, and can be imaging sensor such as thermal camera etc., by shooting picture
To identify the contamination level of clothing.
In step s 130, data processing unit 130 determines car washing installation according to the degree of fouling of weather data and clothing
Clothing dispose parameter.Data processing unit 130 can in car washing installation single-chip microcontroller, be also possible to the energy such as central processing unit
Carry out the electronic device of data operation.
As an example, step S130 is by fuzzy reasoning to determine laundry dress according to the degree of fouling of weather data and clothing
The clothing disposition parameter set.As a kind of implementation, the fuzzy reasoning process includes, to the dirty of weather data and clothing
Degree carries out Segment evaluation and blurring result is calculated, and correspondence is searched from preset fuzzy rule base according to blurring result
Rule is to obtain clothing disposition parameter.That is, data processing unit 130 is dirty according to the weather data, clothing detected
The information such as degree carry out Segment evaluation calculating, make its blurring, further according to blurring as a result, from the fuzzy rule base of foundation
The rule of correspondence is searched, so that it is determined that optimum clothing disposes parameter.
As an example, clothing disposition parameter includes at least one of: washing mode, wash time, drying degree.Into one
Step, it further include display screen on car washing installation 100, for showing clothing disposition parameter, with for reference and adjustment.
Fig. 3 shows the schematic diagram of an embodiment of the input quantity membership function of the application.
Fig. 4 shows the schematic diagram of an embodiment of the input quantity membership function of the application.
As shown in figure 3, Fig. 3 (a) shows the schematic diagram of an embodiment of the membership function of the weather conditions of the application；Figure
3 (b) show the schematic diagram of an embodiment of the membership function of the ambient enviroment temperature and humidity of the application；Fig. 3 (c) shows this Shen
The schematic diagram of one embodiment of the membership function of clothing degree of fouling please, wherein ordinate is degree of membership.As an example, input
Amount is segmented blurring after assessment calculates, and for 3 grades, weather conditions are divided into: rain, yin, fine；Ambient enviroment temperature and humidity is divided into: it is low, in,
It is high；Clothing degree of fouling is divided into: basic, normal, high.Data processing unit 130 is to the weather data detected such as weather conditions, surrounding
Ambient temperature and humidity carries out Segment evaluation calculating according to the input quantity membership function such as Fig. 3, fuzzy to turn to preset grade, for example,
Will weather condition data calculated according to the membership function Segment evaluation of Fig. 3 (a) after be blurred as rain, yin, fine 3 grades, will be all
Blurring is basic, normal, high 3 grades after collarette border data of the Temperature and Humidity module is calculated according to the membership function Segment evaluation of Fig. 3 (b), will
Blurring is basic, normal, high 3 grades after clothing degree of fouling data are calculated according to the membership function Segment evaluation of Fig. 3 (c).
As shown in figure 4, Fig. 4 (a) shows the schematic diagram of an embodiment of the membership function of the wash time of the application；Figure
4 (b) show the schematic diagram of an embodiment of the membership function of the drying degree of the application.As an example, output quantity can divide 5
Grade, wash time are divided into: very short, short, medium and long, very long；Drying degree is divided into: nothing, weak, standard, strong, superpower.
In one implementation, according to the combination of input quantity and the blurring result of output quantity, to wash time, drying
Degree can be indicated with following default fuzzy rule:
Rule one: if weather is " rain ", ambient enviroment temperature and humidity is " low " (i.e. temperature is lower, and humidity is higher), dirty
Degree is " low ", then wash time is " short ", and drying degree is " strong "；
Rule two: if weather is " yin ", ambient enviroment temperature and humidity be " in ", degree of fouling for " in ", then wash time
For " in ", drying degree is " standard ".
The rest may be inferred, and other fuzzy rules are as shown in table 1 below.
Table 1
In one implementation, these fuzzy rules are saved in fuzzy rule base.According to weather data and clothing
Degree of fouling blurring result, corresponding clothing disposition ginseng can be obtained by searching the rule of correspondence from fuzzy rule base
Number.
In one implementation, the car washing installation 100 of the application further includes a specific keys, which can be object
Manage key, or car washing installation shows the software keys of screen display, or including voice command input unit or gesture
Input unit, for generating specific instruction, when detecting that the specific instruction is triggered, weather data acquiring unit 110, clothing are dirty
Dirty degree detecting unit 120, data processing unit 130 and control unit 140 are then enabled to execute method as described in Figure 2.
Fig. 5 shows the schematic diagram of an embodiment of the laundry process of the application.
S1, it detects whether to receive specific instruction.Specific instruction is issued when user passes through key, voice command and/or gesture,
S21 is thened follow the steps to S23；Otherwise the Normal Wash process of S3 is executed.
At least one S21, the various input parameters of detection, as weather conditions, air quality, ambient temperature and humidity, clothing are dirty
Degree etc..
S22, according at least one current weather condition, ambient enviroment temperature and humidity and the clothing degree of fouling detected, look into
It askes fuzzy reasoning table and determines final output amount, i.e., whether clothing disposition parameter (length of such as washing time and needs to dry or need to dry
Dry degree).
S23, the final output amount determined according to step S22 carry out clothing and wash automatically.
S3, Normal Wash process.
Such method is washed in the case where fine and ambient enviroment temperature and humidity is relatively cleaner and tidier than convenient and clothing
The clothing time can be very short and need dry to wash, and such user can in a short time take out washed clothes and dry in the air
It is dry, natural ultraviolet sterilization is carried out, the speed dried due to the good clothing of weather also quickly and can be not required to carry out high temperature drying and processing,
Greatly reduce the wear intensity of clothing, water conservation and electricity consumption；If rainy day (especially rainy weather) and ambient temperature and humidity compared with
It is wet, when the dirty degree of clothing is dirtier, washing time can lengthen, and dry degree and can reinforce automatically, and washed clothes can not have to again
It is dried, avoids causing clothing dampness smelly because absorbing the moisture of surrounding in dry process again；And so on.In addition,
If user is not desired to using this function, it can not operate directly and generate this specific instruction, just be defaulted as normally washing (the laundry ginseng normally washed
Number etc. usually needs user oneself to set).
Although in few examples or implementation in front, not providing the membership function of air quality and fuzzy pushing away
Reason process, however, it is to be understood that, those skilled in the art can according to need completely, and air quality is included in fuzzy reasoning
It obtains in the calculating of clothing disposition parameter, processing mode is similar to weather conditions, ambient temperature and humidity, and this will not be repeated here.
It on the other hand, can be according to the degree of fouling of partial data in weather data and clothing as one of implementation
Parameter one is disposed with the clothing for determining car washing installation by fuzzy reasoning, fuzzy reasoning is passed through according to remainder data in weather data
To determine that the clothing of car washing installation disposes parameter two, clothing, which disposes parameter one and clothing disposition parameter two, at least has part identical
Subparameter the final correspondence subparameter of clothing disposition parameter is determined it as based on selection to identical subparameter.For example,
Equally the mode of fuzzy reasoning can be used to obtain the phase in clothing disposition parameter by air quality as individual considerations
It with the recommendation results of subparameter drying index (i.e. drying degree), and is presented to the user, is determined most after selection for reference
The drying index used eventually.
Fig. 6 shows the schematic diagram of an embodiment of the drying index recommended flowsheet of the application.
Reason same as above, data processing unit 130 is to the weather data detected such as air quality according to input
Amount membership function (air quality membership function be show) carries out Segment evaluation calculating, it is fuzzy turn to preset grade such as it is excellent, in,
Then result after blurring is obtained corresponding drying degree by searching for fuzzy reasoning table or fuzzy Judgment process by difference.In
Shown in Fig. 6 is fuzzy Judgment process, and step S4 detects ambient air quality；If air quality is excellent (step at this time
S51), then corresponding drying index is(step S61), it is not dry or weak drying that user can adjust drying degree as needed；
If at this time air quality be in (step S52), show recommendation drying index be(step S62), i.e. standard drying；If
At this time air quality be it is poor, then haze or other dust and particulate matter may be had by representing in air, if at this time clothes drying in
Outside, the pollutant in air can then depend in clothing, cause the pollution once again of clothing, so such situation recommends drying to refer to
Number is(step S63), i.e., strong or superpower drying.In this way, clothing just can avoid getting dirty during sunning once again.Such as
This, it is assumed that is as previously mentioned, being dried in the clothing disposition parameter obtained according to the overcast and rainy warm and fine ambient temperature and humidity of weather and clothing contamination level
Dry degree is " strong ", and show that drying degree is according to air qualityI.e. weak or nothing, then, it can be by two recommendation results
Be presented to user, at this time if user according to recommend selected drying degree forThen make by the selected parameter of user
For final argument operation, if user is non-selected, default user has been selected by parameters obtained in the aforementioned table as final
Parameter operation.
As an example, clothing disposition parameter can also include washing mode can using fuzzy reasoning process similarly
It is such as soft, normal, relatively strong, strength, superpower to obtain washing mode according to weather data and clothing contamination level, it does not do herein superfluous
It states.
The intelligent control method and car washing installation of the car washing installation of the application are described above.The application's is above-mentioned
Method and device determines that car washing installation is directed to the disposition parameter of clothing according to current weather data and clothing degree of fouling, by
This is capable of determining that more suitable clothing processing parameter by automatic adjustment, improves user experience, improves work effect
Rate, the abrasion for reducing clothing and water-saving power saving.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, and disk or CD etc. are various to can store program generation
The medium of code.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, according to
According to technical spirit any simple modification, equivalent change and modification to the above embodiments of the invention, this hair is still fallen within
In the range of bright technical solution.
Claims (8)
1. a kind of intelligent control method of car washing installation characterized by comprising
Obtain current weather data；
Identify the degree of fouling of clothing；
Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing；
Disposition of the state modulator to clothing is disposed according to the clothing；
Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing, comprising:
Determine that the clothing of car washing installation disposes parameter by fuzzy reasoning according to the degree of fouling of the weather data and clothing；
Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing, comprising:
The clothing of car washing installation is determined by fuzzy reasoning according to the degree of fouling of partial data and clothing in the weather data
Object disposes parameter one；
Determine that the clothing of car washing installation disposes parameter two by fuzzy reasoning according to remainder data in the weather data；
Clothing disposition parameter one and clothing disposition parameter two at least have the identical subparameter in part, to described identical
Subparameter, the final correspondence subparameter of clothing disposition parameter is determined it as based on selection.
2. the method as described in claim 1, which is characterized in that
The weather data includes at least one of: real-time weather conditions, air quality and/or ambient enviroment temperature and humidity；
And/or
The degree of fouling of clothing is identified by the sensor being arranged in car washing installation interior bucket；
And/or
The clothing disposition parameter includes at least one of: washing mode, wash time, drying degree.
3. method according to claim 2, it is characterised in that:
The real-time weather conditions, air quality are obtained by network；
And/or
The sensor in the setting of car washing installation interior bucket is photoelectric sensor；
And/or
The fuzzy reasoning includes:
Segment evaluation is carried out to the degree of fouling of the weather data and clothing, blurring result is calculated,
The rule of correspondence is searched from preset fuzzy rule base according to blurring result to obtain clothing disposition parameter.
4. the method as described in claim 1, which is characterized in that
In response to detecting that specific instruction is triggered and executes the method；
And/or
The method also includes: the clothing described in the display screen display of car washing installation disposes parameter.
5. a kind of car washing installation, comprising:
Weather data acquiring unit, for obtaining current weather data；
Clothing degree of fouling detection unit, for identification degree of fouling of clothing；
Data processing unit, for determining that the clothing of car washing installation disposes ginseng according to the degree of fouling of the weather data and clothing
Number；
Control unit, for disposing disposition of the state modulator to clothing according to the clothing；
Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing, comprising:
Determine that the clothing of car washing installation disposes parameter by fuzzy reasoning according to the degree of fouling of the weather data and clothing；
Determine that the clothing of car washing installation disposes parameter according to the degree of fouling of the weather data and clothing, comprising:
The clothing of car washing installation is determined by fuzzy reasoning according to the degree of fouling of partial data and clothing in the weather data
Object disposes parameter one；
Determine that the clothing of car washing installation disposes parameter two by fuzzy reasoning according to remainder data in the weather data；
Clothing disposition parameter one and clothing disposition parameter two at least have the identical subparameter in part, to described identical
Subparameter, the final correspondence subparameter of clothing disposition parameter is determined it as based on selection.
6. device as claimed in claim 5, which is characterized in that
The weather data includes at least one of: real-time weather conditions, air quality and/or ambient enviroment temperature and humidity；
And/or
The degree of fouling of clothing is identified by the sensor being arranged in car washing installation interior bucket；
And/or
The clothing disposition parameter includes at least one of: washing mode, wash time, drying degree.
7. device as claimed in claim 6, it is characterised in that:
The real-time weather conditions, air quality are obtained by network；
And/or
The sensor in the setting of car washing installation interior bucket is photoelectric sensor；
And/or
The fuzzy reasoning includes:
Segment evaluation is carried out to the degree of fouling of the weather data and clothing, blurring result is calculated,
The rule of correspondence is searched from preset fuzzy rule base according to blurring result to obtain clothing disposition parameter.
8. device as claimed in claim 5, which is characterized in that
Described device is in response to detecting that the specific specific instruction is triggered and enables the weather data acquiring unit, clothing
The movement of degree of fouling detection unit, data processing unit and control unit executes；
And/or
Described device further includes display screen, for showing the clothing disposition parameter.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811326381.7A CN109355863B (en) | 2018-11-08 | 2018-11-08 | The intelligent control method and car washing installation of car washing installation |
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| CN201811326381.7A CN109355863B (en) | 2018-11-08 | 2018-11-08 | The intelligent control method and car washing installation of car washing installation |
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| CN109355863B true CN109355863B (en) | 2019-11-08 |
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| CN112941804A (en) * | 2019-12-11 | 2021-06-11 | 合肥海尔洗衣机有限公司 | Control method of washing machine and washing machine |
| CN111607940A (en) * | 2020-05-27 | 2020-09-01 | 长虹美菱股份有限公司 | Intelligent drying method for drum washing machine |
| CN112779720B (en) * | 2020-12-18 | 2022-05-31 | 珠海格力电器股份有限公司 | Control method and device of washing machine, storage medium and processor |
| CN112796074B (en) * | 2020-12-24 | 2022-05-10 | 珠海格力电器股份有限公司 | Washing and drying machine control method and device, storage medium and washing and drying machine |
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| CN102383286B (en) * | 2010-09-01 | 2016-01-20 | 海尔集团公司 | A kind of Intelligentized internet-of-thing washing machine |
| JP2015041351A (en) * | 2013-08-23 | 2015-03-02 | 株式会社東芝 | Information service system |
| CN103898713B (en) * | 2014-01-23 | 2016-08-10 | 太原科技大学 | A kind of based on monolithic processor controlled BLDCM washing machine |
| JP2015198921A (en) * | 2014-04-04 | 2015-11-12 | パナソニックＩｐマネジメント株式会社 | Date extraction device, date extraction method and control program |
| CN104963162B (en) * | 2015-05-29 | 2018-06-19 | 无锡小天鹅股份有限公司 | The control method and system of washing machine |
| CN106222933A (en) * | 2016-08-30 | 2016-12-14 | 无锡飞翎电子有限公司 | The control method of washing machine based on Wearable and control system for washing machine |
| WO2018199543A1 (en) * | 2017-04-25 | 2018-11-01 | 엘지전자 주식회사 | Clothing processing apparatus, control method of clothing processing apparatus, and online system including clothing processing apparatus |
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