U.S. patent application number 16/063316 was filed with the patent office on 2018-12-20 for clothing washing control method, washing machine and system.
This patent application is currently assigned to QINGDAO HAIER DRUM WASHING MACHINE CO., LTD.. The applicant listed for this patent is QINGDAO HAIER DRUM WASHING MACHINE CO., LTD.. Invention is credited to Yuling CHEN, Hai SHU, Sheng XU, Junming YIN.
Application Number | 20180363210 16/063316 |
Document ID | / |
Family ID | 59088979 |
Filed Date | 2018-12-20 |
United States Patent
Application |
20180363210 |
Kind Code |
A1 |
SHU; Hai ; et al. |
December 20, 2018 |
CLOTHING WASHING CONTROL METHOD, WASHING MACHINE AND SYSTEM
Abstract
The present disclosure provides a clothing washing control
method, a washing machine and a control system. The method
comprises: S1, a clothing material identification device scanning
and identifying clothing fabric components, and obtaining
identification data; S2, analyzing the identification data, and
obtaining clothing component information corresponding to the
identification data; S3, recommending washing parameters according
to the clothing component information; and S4, the washing machine
executing washing according to the washing parameters recommended.
According to the clothing washing control method, the washing
machine and the control system, clothing materials can be
automatically identified. The corresponding washing parameters are
recommended according to the clothing materials. Thus the clothing
washing efficiency is improved, and the situation that clothing
fails to be washed clean or excessive washing causes clothing
abrasion is effectively avoided.
Inventors: |
SHU; Hai; (Shandong, CN)
; XU; Sheng; (Shandong, CN) ; YIN; Junming;
(Shandong, CN) ; CHEN; Yuling; (Shandong,
CN) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
QINGDAO HAIER DRUM WASHING MACHINE CO., LTD. |
Shandong |
|
CN |
|
|
Assignee: |
QINGDAO HAIER DRUM WASHING MACHINE
CO., LTD.
Shandong
CN
|
Family ID: |
59088979 |
Appl. No.: |
16/063316 |
Filed: |
December 22, 2016 |
PCT Filed: |
December 22, 2016 |
PCT NO: |
PCT/CN2016/111420 |
371 Date: |
June 18, 2018 |
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
D06F 2212/00 20130101;
D06F 34/28 20200201; D06F 2202/10 20130101; D06F 33/00 20130101;
D06F 34/18 20200201; D06F 34/22 20200201; D06F 2204/10
20130101 |
International
Class: |
D06F 39/00 20060101
D06F039/00; D06F 33/02 20060101 D06F033/02 |
Foreign Application Data
Date |
Code |
Application Number |
Dec 25, 2015 |
CN |
201510990335.7 |
Claims
1. A clothing washing control method, comprising: S1: a clothing
material identification device scanning and identifying clothing
fabric components, and obtaining identification data; S2: analyzing
the identification data, and obtaining clothing component
information corresponding to the identification data; S3:
recommending washing parameters according to the clothing component
information; and S4: a washing machine executing washing according
to the washing parameters recommended.
2. The clothing washing control method according to claim 1,
wherein step S3 comprises: A1: determining whether or not the
clothing component information of only one piece of clothing is
received; if yes, selecting the washing parameters corresponding to
the clothing component information, and if no, starting step A2;
and A2: determining whether or not the clothing identified is
suitable for mixed washing; if yes, selecting the washing
parameters corresponding to the clothing component information with
a highest washing requirement, and if no, prompting that the
clothing is not suitable for mixed washing.
3. The clothing washing control method according to claim 1,
wherein a corresponding relation between the identification data
and the clothing component information is stored in a first
database, and the first database is arranged in the washing machine
and/or in a cloud; and a corresponding relation between the
clothing component information and the washing parameters is stored
in a second database, and the second database is arranged in the
washing machine and/or in the cloud.
4. The clothing washing control method according to claim 1,
wherein when the washing machine operates in an offline mode, data
interaction is performed between the washing machine and the
clothing material identification device in a wired or wireless
mode, and steps S2 and S3 are executed by the washing machine; and
when the washing machine operates in an online mode, the washing
machine performs data exchange with the clothing material
identification device and the cloud respectively, and steps S2 and
S3 are executed by the cloud.
5. The clothing washing control method according to claim 1,
wherein when the washing machine is connected with an APP
client-side, the APP client-side performs data exchange with the
clothing material identification device and the washing machine
respectively, and steps S2 and S3 are executed by the APP
client-side; or the APP client-side performs data exchange with the
clothing material identification device, the washing machine and
the cloud, step S2 is executed by the cloud, and step S3 is
executed by the APP client-side.
6. The clothing washing control method according to claim 1,
wherein the clothing material identification device is a micro
spectrum analyzer.
7. The clothing washing control method according to claim 6,
wherein the micro spectrum analyzer is mounted on a control panel
on the washing machine; or the micro spectrum analyzer is hung on a
washing machine cabinet and performs data transmission with the
washing machine in the wired or wireless mode; or the micro
spectrum analyzer is handheld equipment and performs data
transmission with the APP client-side in the wireless mode.
8. The clothing washing control method according to claim 1,
wherein the washing parameters comprise water level, washing time,
the number of times of rinsing, dehydration time and rotating
speed.
9. A washing machine adopting the method of claim 1, wherein the
clothing material identification device is mounted on the washing
machine; or the washing machine and the clothing material
identification device are connected in the wired or wireless
mode.
10. A system adopting the method of claim 1, comprises the washing
machine connected with the clothing material identification device;
or the system comprises the washing machine connected with a cloud
server and the clothing material identification device; or the
system comprises the APP client-side respectively connected with
the washing machine, the clothing material identification device
and the cloud server.
11. The clothing washing control method according to claim 2,
wherein when the washing machine operates in an offline mode, data
interaction is performed between the washing machine and the
clothing material identification device in a wired or wireless
mode, and steps S2 and S3 are executed by the washing machine; and
when the washing machine operates in an online mode, the washing
machine performs data exchange with the clothing material
identification device and the cloud respectively, and steps S2 and
S3 are executed by the cloud.
12. The clothing washing control method according to claim 3,
wherein when the washing machine operates in an offline mode, data
interaction is performed between the washing machine and the
clothing material identification device in a wired or wireless
mode, and steps S2 and S3 are executed by the washing machine; and
when the washing machine operates in an online mode, the washing
machine performs data exchange with the clothing material
identification device and the cloud respectively, and steps S2 and
S3 are executed by the cloud.
13. The clothing washing control method according to claim 2,
wherein when the washing machine is connected with an APP
client-side, the APP client-side performs data exchange with the
clothing material identification device and the washing machine
respectively, and steps S2 and S3 are executed by the APP
client-side; or the APP client-side performs data exchange with the
clothing material identification device, the washing machine and
the cloud, step S2 is executed by the cloud, and step S3 is
executed by the APP client-side.
14. The clothing washing control method according to claim 3,
wherein when the washing machine is connected with an APP
client-side, the APP client-side performs data exchange with the
clothing material identification device and the washing machine
respectively, and steps S2 and S3 are executed by the APP
client-side; or the APP client-side performs data exchange with the
clothing material identification device, the washing machine and
the cloud, step S2 is executed by the cloud, and step S3 is
executed by the APP client-side.
Description
TECHNICAL FIELD
[0001] The present disclosure relates to the field of washing of
washing machines, in particular to a clothing washing control
method, a washing machine and a system.
BACKGROUND
[0002] At present, corresponding washing procedures are usually
selected according to clothing fabrics at the time of clothing
washing, and different washing parameters are set in the different
washing procedures, i.e., the washing time, the rotating speed, the
temperature, the number of times of rinsing and the like.
Therefore, appropriate washing parameters enable clothing to be
washed quickly and effectively, while inappropriate washing
parameters may cause the situation that the clothing fails to be
washed clean or the clothing is excessively abraded after being
washed, so that the clothing is quite easily damaged.
[0003] The existing washing machines do not have a clothing fabric
judging function generally, the fabrics need to be distinguished by
users, and the washing procedures are selected by the users
according to fabric components. Certain washing machines have rough
fabric identification functions and judge whether the textures of
clothing are soft or common or hard according to the water
absorbing capacity of the placed clothing. Specifically, the
clothing needing to be washed is placed into a washing machine,
after water is fed to the set water level, the clothing is stirred
for a set period of time, the clothing absorbs a certain amount of
water during stirring. The difference between the current water
level and the set water level is detected through a water level
sensor, and the textures of the clothing are judged according to
the water level declining volume.
[0004] For the first treatment mode that the washing procedures are
selected according to the clothing fabrics, the users need to make
judgement. Different users have different capabilities for making
judgement on the clothing fabrics, and therefore, the clothing
fabric judging accuracy rate is extremely low. In addition, though
the users make correct judgement on the clothing fabrics, when the
number of varieties of the fabrics is large, the users probably
fail to select or set the most appropriate washing parameters, and
washing inconvenience is caused for the users.
[0005] The second mode is based on the clothing water absorbing
capacity to judge the clothing textures, and the mode can only be a
rough identification mode and a post-event treatment mode, that is,
judgement can be made only after the clothing is wet through. The
situation that the clothing fails to be washed clean or excessive
washing causes severe clothing abrasion may occur unfavorably if
judgement errors emerge and the clothing is washed in an incorrect
mode.
[0006] Therefore, a washing machine capable of identifying clothing
fabric components is urgently needed, increasing the clothing
fabric identification accuracy rate, and being able to recommending
the most appropriate washing parameters for the users.
[0007] For this purpose, the present disclosure is hereby
provided.
SUMMARY
[0008] The key for solving the technical problem lies in overcoming
shortcomings in the prior art, providing a clothing washing control
method, utilizing a clothing material identification device to
identify clothing fabric components, recommending the most
appropriate washing parameters for users according to
identification results. Thus, clothing fabrics can be accurately
identified, user clothing washing operation is reduced, the
clothing washing efficiency is improved, and the situation that
clothing fails to be washed clean or excessive washing causes
clothing abrasion is avoided.
[0009] An object of the present disclosure is to provide a washing
machine adopting the method.
[0010] Another object of the present disclosure is to provide a
system adopting the method.
[0011] The technical solution adopted for solving the technical
problem of the present disclosure includes:
[0012] the present disclosure provides the clothing washing control
method comprising:
[0013] S1: a clothing material identification device scanning and
identifying clothing fabric components, and obtaining
identification data;
[0014] S2: analyzing the identification data, and obtaining
clothing component information corresponding to the identification
data;
[0015] S3: recommending washing parameters according to the
clothing component information; and
[0016] S4: a washing machine executing washing according to the
washing parameters recommended.
[0017] Further, the step S3 comprises:
[0018] A1: determining whether or not the clothing component
information of only one piece of clothing is received; if yes,
selecting washing parameters corresponding to the clothing
component information, and if no, starting the step A2; and
[0019] A2: determining whether or not the identified clothing is
suitable for mixed washing; if yes, selecting washing parameters
corresponding to clothing component information with the highest
washing requirement, and if no, prompting that the clothing is not
suitable for mixed washing.
[0020] Further, a corresponding relation between the identification
data and the clothing component information is stored in a first
database, and the first database is arranged in the washing machine
and/or in a cloud; and
[0021] a corresponding relation between the clothing component
information and the washing parameters is stored in a second
database, and the second database is arranged in the washing
machine and/or in the cloud.
[0022] Further, when the washing machine operates in an offline
mode, data interaction is performed between the washing machine and
the clothing material identification device in a wired or wireless
mode, and the steps S2 and S3 are executed by the washing machine;
and
[0023] when the washing machine operates in an online mode, the
washing machine performs data exchange with the clothing material
identification device and the cloud respectively, and steps S2 and
S3 are executed by the cloud.
[0024] Further, when the washing machine is connected with an APP
client-side, the APP client-side performs data exchange with the
clothing material identification device and the washing machine
respectively, and steps S2 and S3 are executed by the APP
client-side; or
[0025] the APP client-side performs data exchange with the clothing
material identification device, the washing machine and the cloud,
step S2 is executed by the cloud, and step S3 is executed by the
APP client-side.
[0026] Further, the clothing material identification device is a
micro spectrum analyzer.
[0027] Further, the micro spectrum analyzer is mounted on a control
panel on the washing machine; or
[0028] the micro spectrum analyzer is hung on a washing machine
cabinet, and performs data transmission with the washing machine in
the wired or wireless mode; or
[0029] the micro spectrum analyzer is handheld equipment and
performs data transmission with the APP client-side in the wireless
mode.
[0030] Further, the washing parameters comprise the water level,
the washing time, the number of times of rinsing, the dehydration
time and the rotating speed.
[0031] The present disclosure further provides the washing machine
adopting the method, and the clothing material identification
device is mounted on the washing machine; or
[0032] the washing machine and the clothing material identification
device are connected in the wired or wireless mode.
[0033] The present disclosure further provides the system adopting
the method, and the system comprises the washing machine connected
with the clothing material identification device; or
[0034] the system comprises the washing machine respectively
connected with a cloud server and the clothing material
identification device; or
[0035] the system comprises the APP client-side connected with the
washing machine, the clothing material identification device and
the cloud server.
[0036] The technical solution provided by the embodiments of the
present disclosure has the beneficial effects that:
[0037] Firstly, the clothing material identification device is
utilized to identify the clothing fabric components, the
identification accuracy rate of the device is higher compared with
artificial clothing fabric identification or clothing material
judgement based on the water content, the mode that clothing is
identified after being soaked is not needed. Therefore, the
identification process better saves time, operation is easier and
more convenient, and the clothing identification efficiency is
higher.
[0038] Secondly, the corresponding washing parameters are
recommended according to the clothing materials, recommendation of
the washing machine is higher in pertinence compared with
artificial washing parameter selection, the washing parameters more
suitable for the fabric or a plurality of mixed fabrics can be
obtained. The trouble that a user does not know how to select
washing procedures is eliminated, the clothing washing efficiency
is also improved, washing is higher in pertinence, and the
situation that the clothing fails to be washed clean or excessive
washing causes clothing abrasion is effectively avoided.
BRIEF DESCRIPTION OF THE DRAWINGS
[0039] In order to describe the technical solution in the
embodiments of the present disclosure more clearly, a simple
introduction on the accompanying drawings which are needed in the
description of the embodiments is given below. Apparently, the
accompanying drawings in the description below are merely some of
the embodiments of the present disclosure, based on which other
drawings can be obtained by those of ordinary skill in the art
without any creative effort.
[0040] FIG. 1 is a flow diagram of a clothing washing control
method provided by an embodiment of the present disclosure;
[0041] FIG. 2 is a flow diagram of a clothing washing control
method in an offline mode of a washing machine provided by an
embodiment 1 of the present disclosure;
[0042] FIG. 3 is a flow diagram of a clothing washing control
method in an online mode of a washing machine provided by an
embodiment 2 of the present disclosure;
[0043] FIG. 4 is a flow diagram of a clothing washing control
method in an APP connected mode of a washing machine provided by an
embodiment 3 of the present disclosure;
[0044] FIG. 5 is a washing machine provided by an embodiment 4 of
the present disclosure;
[0045] FIG. 6 is a system provided by an embodiment 5 of the
present disclosure;
[0046] FIG. 7 is another system provided by an embodiment 6 of the
present disclosure;
[0047] FIG. 8 is another system provided by the embodiment 6 of the
present disclosure;
[0048] FIG. 9 is another system provided by an embodiment 7 of the
present disclosure;
[0049] FIG. 10 is another system provided by the embodiment 7 of
the present disclosure.
DETAILED DESCRIPTION
[0050] As shown in FIG. 1, the present disclosure provides a
clothing washing control method comprising:
[0051] Step 101: a clothing material identification device scanning
and identifying clothing fabric components, and obtaining
identification data.
[0052] The clothing material identification device can be a micro
spectrum analyzer, and the detecting principle is as follows. The
micro spectrum analyzer can emit near infrared rays to to-be-tested
substances and detects active molecules in the to-be-detected
substances. Then light rays of reflected by the molecular vibration
are analyzed. Chemical components of material molecules are
determined and identified according to the unique optical
characteristic of the light rays. Specifically, the near infrared
rays emitted by the to-be-detected substances are subjected to a
data acquisition and filtering by a filter, then pass through a
corresponding amplifier and then are sent to a corresponding
processor for processing. Processed data are analyzed according to
a corresponding algorithm, and the analyzed data are finally
obtained, which are the identification data.
[0053] Compared with an ordinary spectrum analyzer, the micro
spectrum analyzer has the characteristics of modularization and
high-speed acquisition, the size is smaller, and a spectrum system
can be more flexibly set up. Therefore, the micro spectrum analyzer
can be directly mounted on a control panel of a washing machine, a
user can place to-be-washed clothing in front of the analyzer
before washing. The micro spectrum analyzer can perform scanning
and identification on clothing fabric components, the
identification data are obtained, and the corresponding
identification data can be obtained after each piece of clothing is
scanned.
[0054] Preferably, the micro spectrum analyzer can also be hung on
a washing machine cabinet and performs data transmission with the
washing machine in a wired or wireless mode.
[0055] Further preferably, the micro spectrum analyzer can also be
handheld equipment, when the washing machine is connected with an
APP client-side, the micro spectrum analyzer and the APP
client-side perform the data transmission in a wireless mode.
[0056] For the obtained identification data, the micro spectrum
analyzer can directly send the data to a washing machine terminal
controller for analysis. And the data can also be uploaded to a
cloud through a wireless module of the washing machine for analysis
and further can be sent to the APP client-side, so that the APP
client-side directly analyzes the data or the APP client-side sends
the data to the cloud for analysis;
[0057] Step 102: analyzing the identification data, and obtaining
clothing component information corresponding to the identification
data.
[0058] The clothing component information can comprise at least one
of cotton cloth, linen, silk, down feather, wool fabric, leather,
chemical fibers, blending, mercerized cotton, chiffon, mulberry
silk, viscose, acetate rayon, dacron, modified polypropylene
fibers, polypropylene fibers, spandex, vinylon, linen cambric,
grass cloth, intertexture linen fabric, palace, gabardine, plush,
melton, cashmere, khaki, mohair, linen-mixed cotton,
polyester-mixed linen, spun silk yarn, real silk, tencel, acrylic
fibers, polyester-mixed cotton and polyester-mixed spun silk
yarn.
[0059] The identification data corresponds to the clothing
component information, and a corresponding relation between the
identification data and the clothing component information is
stored in a first database. And the first database is arranged in
the washing machine and/or in the cloud.
[0060] Specifically, when the washing machine operates in an
offline mode, the micro spectrum analyzer can send the
identification data to the washing machine. The first database is
arranged in the washing machine, and the washing machine can
directly analyze the identification data and queries the clothing
component information corresponding to the identification data in
the first database.
[0061] When the washing machine operates in an online mode, the
micro spectrum analyzer can send the identification data to the
cloud through a wireless communication module on the washing
machine. The first database is arranged in the cloud, and the cloud
can analyze the identification data and queries the clothing
component information corresponding to the identification data in
the first database.
[0062] Further, when the washing machine is connected with the APP
client-side, the micro spectrum analyzer can also send the
identification data to the APP client-side. The APP client-side
directly analyzes the identification data and obtains the clothing
component information. Or the APP client-side forwards the
identification data to the cloud, and the cloud analyzes the
identification data and sends the obtained clothing component
information to the APP client-side.
[0063] Step 103: recommending washing parameters according to the
clothing component information.
[0064] The washing parameters comprise water level, washing time,
the number of times of rinsing, dehydration time and rotating
speed. Preferably, the washing parameters further comprise
temperature and remaining time.
[0065] Each piece of clothing component information can correspond
to one set of washing parameters, i.e., when the clothing component
information is cotton, the corresponding set of washing parameters
include that the washing time is 15 min. The number of times of
rinsing is 3. The dehydration time is 3 min. The temperature is
40.degree. C. And the rotating speed is 1000 rpm.
[0066] The remaining time refers to the total time required for
execution of the washing function of the washing machine. After the
washing machine starts washing, the remaining time can be displayed
on a display interface of the washing machine and is counted down.
And as washing progresses, the remaining time is gradually
shortened until zero, namely, it means the completion of
washing.
[0067] When the washing machine operates in the offline mode, the
step can be directly executed by the washing machine. When the
washing machine operates in the online mode, the step can be
executed by the cloud. And when the washing machine is connected
with the APP client-side, the step can be executed by the APP
client-side.
[0068] Specifically, the step can be implemented through the
following sub-steps:
[0069] A1: determining whether or not the clothing component
information of only one piece of clothing is received. If yes,
selecting washing parameters corresponding to the clothing
component information. And if no, starting the step A2.
[0070] When the clothing component information of the only one
piece of clothing is received, the situation that whether the
clothing can be subj ected to mixed washing or not is inexistent.
Therefore, the washing parameters corresponding to the clothing
component information can be directly selected. Preferably, if a
plurality of sets of washing parameters corresponds to the clothing
component information, the optimal set of washing parameters can
also be selected according to the big data. Or the most appropriate
set of washing parameters is configured for the user according to
the clothing washing history.
[0071] A corresponding relation between the clothing component
information and the washing parameters is stored in a second
database. And the second database is arranged in the washing
machine and/or in the cloud.
[0072] A2: determining whether or not the clothing identified is
suitable for mixed washing. If yes, selecting washing parameters
corresponding to clothing component information with the highest
washing requirement. And if no, prompting that the clothing is not
suitable for mixed washing.
[0073] Whether or not a piece of clothing is suitable for mixed
washing is determined by washing requirements of the clothing
material. The higher the washing requirements, the lower the
washing strength, and the lower the corresponding set parameters,
i.e., washing parameters for the silk clothing and the
polyester-mixed linen clothing are as shown in the following table
1 respectively:
TABLE-US-00001 TABLE 1 Number of times of Washing rinsing/
Dehydration Rotating time/min time time/min Temperature/.degree. C.
speed/rpm Silk material 15 3 3 Not heated Not spin-dried
Polyester-mixed 75 3 3 30 1000 linen
[0074] It is known from the table 1 that compared with the
polyester-mixed linen clothing, the silk clothing is prone to being
damaged during washing, therefore, the washing requirements are
higher, that is, the washing time is required to be shorter,
heating is avoided in terms of the temperature requirement,
spin-drying is avoided in terms of the rotating speed requirement.
Therefore, during washing, if the silk clothing and the
polyester-mixed linen clothing are subjected to mixed washing, the
polyester-mixed linen clothing is not prone to being washed clean
if the washing strength is excessively low. The silk clothing is
prone to being excessively abraded and thus damaged if the washing
strength is excessively high. And therefore, it is determined that
the clothing made of the two materials cannot be subjected to mixed
washing.
[0075] Specifically, according to the washing requirements, a data
table is preset in the second database and stores conditions for
avoidance of mixed washing (i.e., the silk clothing and the
polyester-mixed linen clothing cannot be subjected to mixed
washing). And the user is reminded that the clothing cannot be
subjected to mixed washing if any two of a plurality of pieces of
received clothing component information meet the conditions for
avoidance of mixed washing recorded in the data table.
[0076] Preferably, the modes for reminding of no mixed washing can
be that a corresponding indicator light flickers on the display
interface of the washing machine. The user can be reminded that the
current clothing cannot be subjected to mixed washing through
voice. And the user can also be reminded that the current clothing
cannot be subjected to mixed washing by giving out corresponding
music.
[0077] Further, the washing parameters corresponding to the
clothing component information with the highest washing requirement
are selected if the clothing can be subjected to mixed washing. For
example, when a piece of cotton clothing and a piece of chemical
fiber clothing are subjected to mixed washing, the respective
washing parameters are as shown in the following table 2:
TABLE-US-00002 TABLE 2 Number of Washing times of Dehydration
Rotating time/min rinsing/time time/min Temperature/.degree. C.
speed/rpm Cotton 15 3 3 40 1000 material Chemical 15 3 3 30 800
fiber blended fabric
[0078] It is known form the table 2 that the washing parameters for
the clothing made of the two types of materials are not large in
difference, mixed washing is permissible. However, the chemical
fiber blended fabric is not washable, the washing requirements are
higher. In order to prevent the clothing from being damaged, the
washing temperature and the dehydration rotating speed shall not be
too high. Therefore, the washing parameters corresponding to the
chemical fiber blended fabric are selected. Thus, it can be
guaranteed that the clothing is washed clean, and the situation
that excessive washing causes clothing damage can also be
avoided.
[0079] Step 104: executing washing of the washing machine according
to the washing parameters recommended.
[0080] Specifically, the washing parameters are recommended by the
washing machine. Or the washing machine receives the washing
parameters sent by the cloud. Or the washing machine receives the
washing parameters sent by the APP client-side. And an execution
mechanism of the washing machine executes washing according to the
washing parameters.
Embodiment 1
[0081] As shown in FIG. 2, the embodiment of the present disclosure
provides a clothing washing control method which is applied to an
offline mode of a washing machine end, and the method
comprises:
[0082] Step 201: a clothing material identification device scanning
and identifying clothing fabric components, and obtaining
identification data.
[0083] Step 202: the clothing material identification device
sending the identification data to a washing machine.
[0084] Step 203: the washing machine analyzing the identification
data, and obtaining clothing component information corresponding to
the identification data.
[0085] Step 204: the washing machine determining whether or not the
clothing component information of only one piece of clothing is
received. If yes, performing step 205, and if no, performing step
206.
[0086] Step 205: the washing machine selecting washing parameters
corresponding to the clothing component information and performing
washing.
[0087] Step 206: the washing machine determining whether or not the
identified clothing is suitable for mixed washing. If yes,
performing step 207, and if no, performing step 208.
[0088] Step 207: the washing machine selecting the washing
parameters corresponding to the clothing component information with
the highest washing requirement and performing washing.
[0089] Step 208: the washing machine reminding that clothing which
is not suitable for mixed washing shall be taken out.
Embodiment 2
[0090] As shown in FIG. 3, the embodiment of the present disclosure
provides a clothing washing control method which is applied to an
online mode of a washing machine, wherein the washing machine is
respectively connected with a clothing material identification
device and a cloud, and the method comprises:
[0091] Step 301: the clothing material identification device
scanning and identifying clothing fabric components, and obtaining
identification data.
[0092] Step 302: the clothing material identification device
sending the identification data to the cloud.
[0093] Step 303: the cloud analyzing the identification data, and
obtaining clothing component information corresponding to the
identification data.
[0094] Step 304: the cloud determining whether or not the clothing
component information of only one piece of clothing is received. If
yes, performing step 305, and if no, performing step 306.
[0095] Step 305: the cloud selecting washing parameters
corresponding to the clothing component information and sending the
washing parameters to the washing machine.
[0096] Specifically, directly performing step 308 after the step is
executed.
[0097] Step 306: the cloud determining whether or not the
identified clothing is suitable for mixed washing. If yes,
performing step 307, and if no, performing step 309.
[0098] Step 307: the cloud selecting the washing parameters
corresponding to the clothing component information with the
highest washing requirement and sending the washing parameters to
the washing machine.
[0099] Step 308: the washing machine executing washing after
receiving the washing parameters.
[0100] Step 309: the cloud shall reminding that the clothing is not
suitable for mixed washing and sending prompt information to the
washing machine.
[0101] Step 310: the washing machine reminding that the clothing
which is not suitable for mixed washing shall be taken out.
Embodiment 3
[0102] As shown in FIG. 4, the embodiment of the present disclosure
provides a clothing washing control method, wherein a washing
machine is connected with an APP client-side in a wired or wireless
mode, the APP client-side is respectively connected with a cloud
and a clothing material identification device, and the method
comprises:
[0103] Step 401: the clothing material identification device
scanning and identifying clothing fabric components, and obtaining
the identification data.
[0104] Step 402: the clothing material identification device
sending the identification data to the APP client-side.
[0105] Step 403: the APP client-side uploading the identification
data to the cloud, the cloud analyzing the identification data, and
obtaining the clothing component information corresponding to the
identification data.
[0106] Step 404: the cloud returning the clothing component
information to the APP client-side.
[0107] Step 405: the APP client-side determining whether or not the
clothing component information of only one piece of clothing is
received. If yes, performing step 406, and if no, performing step
407.
[0108] Step 406: the APP client-side selecting washing parameters
corresponding to the clothing component information and sending the
washing parameters to the washing machine.
[0109] Specifically, the APP client-side querying a second database
according to the returned clothing component information and
obtaining the washing parameters corresponding to the clothing
component information. And the second database can be arranged in
the washing machine locally, or in the cloud, or in the APP
client-side.
[0110] Further, directly performing step 409 after the step is
executed.
[0111] Step 407: the APP client-side determining whether or not the
identified clothing is suitable for mixed washing. If yes,
performing step 408, and if no, performing step 410.
[0112] Step 408: the APP client-side selecting the washing
parameters corresponding to the clothing component information with
the highest washing requirement and sending the washing parameters
to the washing machine.
[0113] Specifically, the APP client-side querying the second
database according to the returned clothing component information
and obtaining the washing parameters corresponding to the clothing
component information with the highest washing requirement in the
second database.
[0114] and the second database can be arranged in the washing
machine locally, or in the cloud, or in the APP client-side.
[0115] Step 409: the washing machine executing washing after
receiving the washing parameters.
[0116] Step 410: the APP client-side reminding that the clothing is
not suitable for mixed washing and sending prompt information to
the washing machine.
[0117] Step 411: the washing machine reminding that the clothing
which is not suitable for mixed washing shall be taken out.
Embodiment 4
[0118] As shown in FIG. 5, the embodiment of the present disclosure
provides a washing machine. A clothing material identification
device is mounted on the washing machine, can identify the clothing
fabrics and obtains the identification data. The washing machine
can analyze the identification data, obtains the specific clothing
component information, and can recommend the corresponding washing
parameters. Thus, the identification accuracy rate of clothing
fabric components can be increased. The user operation is
simplified, the most appropriate washing parameters can be
recommended for the users. And the situation that the user selects
an inappropriate washing procedure, and consequentially, the
clothing fails to be washed clean, or excessive washing causes
clothing abrasion is avoided.
[0119] The clothing material identification device is preferably a
micro spectrum analyzer. Since the micro spectrum analyzer has the
characteristics of modularization and high-speed acquisition, the
size is smaller, a spectrum system can be more flexibly set up.
Therefore, the micro spectrum analyzer can be directly mounted on a
control panel of the washing machine. When the micro spectrum
analyzer is in use, the user can place to-be-washed clothing in
front of the analyzer before washing, the micro spectrum analyzer
can perform scanning and identification on the clothing fabric
components. The identification data are obtained, and the
corresponding identification data can be obtained after each piece
of clothing is scanned.
[0120] Preferably, the micro spectrum analyzer can also be hung on
a washing machine cabinet, and performs data transmission with the
washing machine in a wired or wireless mode.
[0121] Further preferably, the micro spectrum analyzer can also be
handheld equipment. And when the washing machine is connected with
an APP client-side, the micro spectrum analyzer and the APP
client-side perform data transmission in a wireless mode.
[0122] In terms of the washing machine capable of being connected
to the internet, a communication module is further arranged on the
washing machine and used for data transmission with a cloud
server.
Embodiment 5
[0123] As shown in FIG. 6, the embodiment of the present disclosure
provides a system. The system can identify clothing materials and
automatically recommends optimal washing parameters according to
the identification results. Specifically, the system comprises a
clothing material identification device and a washing machine. And
data interaction can be performed between the clothing material
identification device and the washing machine.
[0124] The clothing material identification device can perform
scanning and identification on the clothing fabric components,
obtains the identification data and sends the identification data
to the washing machine for analysis. The washing machine queries
the clothing component information corresponding to the
identification data in a first database and queries corresponding
washing parameters in a second database according to the clothing
component information. Then the recommended washing parameters are
obtained after computation and analysis are performed, and the
washing machine executes washing according to the recommended
washing parameters.
[0125] The first database and the second database can be arranged
in a washing machine body.
Embodiment 6
[0126] As shown in FIG. 7 and FIG. 8, the embodiment of the present
disclosure provides a system. The system can identify clothing
materials and automatically recommends optimal washing parameters
according to identification results. Specifically, the system
comprises a clothing material identification device, a washing
machine and a cloud server. A communication module is arranged on
the washing machine, and the washing machine can perform data
interaction with the clothing material identification device and
the cloud server through the communication module.
[0127] The clothing material identification device can perform
scanning and identification on clothing fabric components, obtains
the identification data and sends the identification data to the
cloud server through the communication module on the washing
machine. The cloud server queries the clothing component
information corresponding to the identification data in a first
database and queries corresponding washing parameters in a second
database according to the clothing component information. The
recommended washing parameters are obtained after computation and
analysis are performed, and the recommended washing parameters are
sent to the washing machine for washing.
[0128] Preferably, as shown in FIG. 7, the clothing material
identification device can be arranged in the washing machine. And
further preferably, as shown in FIG. 8, the clothing material
identification device can also be handheld equipment, is connected
with the washing machine in a wired or wireless mode and transmits
data to the washing machine.
[0129] The cloud server comprises a clothing component analyzing
server, and a clothing washing and care server. The first database
can be arranged in the clothing component analyzing server, and the
second database can be arranged in the clothing washing and care
server.
Embodiment 7
[0130] As shown in FIG. 9 and FIG. 10, the embodiment of the
present disclosure provides a system. The system can identify
clothing materials and automatically recommends optimal washing
parameters according to identification results. Specifically, the
system comprises an APP client-side which is respectively connected
with a clothing material identification device, a washing machine
and a cloud server, and performs data interaction.
[0131] The clothing material identification device can perform
scanning and identification on clothing fabric components, obtains
identification data and sends the identification data to the APP
client-side. The APP client-side queries the clothing component
information corresponding to the identification data in a first
database and queries corresponding washing parameters in a second
database according to the clothing component information. The
recommended washing parameters are obtained after computation and
analysis are performed, and the recommended washing parameters are
sent to the washing machine for washing.
[0132] Preferably, as shown in FIG. 9, the clothing material
identification device can be arranged in the washing machine and
performs data interaction with the APP client-side through a
communication module on the washing machine. And further
preferably, as shown in FIG. 10, the clothing material
identification device can also be handheld equipment, is directly
connected with the APP client-side in a wired or wireless mode and
transmits data to the APP client-side.
[0133] The cloud server comprises a clothing component analyzing
server, and a clothing washing and care server. The first database
can be arranged in the APP client-side or the clothing component
analyzing server, and the second database can be arranged in the
APP client-side or the clothing washing and care server.
[0134] The above embodiments are merely preferable embodiments of
the present disclosure rather than limiting the present disclosure
in any form. Although the present disclosure has been described
with reference to the aforementioned preferable embodiments, it is
not intended to define the scope of the present disclosure. It
should be understood by those skill in the art that modifications
or substitutions may still be made on the technical solution
disclosed in the aforementioned respective embodiments as
equivalent embodiments with equivalent substitutions. And these
modifications or substitutions do not make the nature of the
corresponding technical solution depart from the spirit and scope
of the technical solution of the respective embodiments of the
present disclosure.
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