WO2017107942A1 - 一种衣物洗涤控制方法、洗衣机及系统 - Google Patents

一种衣物洗涤控制方法、洗衣机及系统 Download PDF

Info

Publication number
WO2017107942A1
WO2017107942A1 PCT/CN2016/111420 CN2016111420W WO2017107942A1 WO 2017107942 A1 WO2017107942 A1 WO 2017107942A1 CN 2016111420 W CN2016111420 W CN 2016111420W WO 2017107942 A1 WO2017107942 A1 WO 2017107942A1
Authority
WO
WIPO (PCT)
Prior art keywords
washing
washing machine
laundry
clothing
cloud
Prior art date
Application number
PCT/CN2016/111420
Other languages
English (en)
French (fr)
Inventor
舒海
许升
尹俊明
陈玉玲
Original Assignee
青岛海尔滚筒洗衣机有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 青岛海尔滚筒洗衣机有限公司 filed Critical 青岛海尔滚筒洗衣机有限公司
Priority to EP16877752.2A priority Critical patent/EP3396041B1/en
Priority to JP2018532355A priority patent/JP2018538088A/ja
Priority to KR1020187021031A priority patent/KR20180093069A/ko
Priority to US16/063,316 priority patent/US20180363210A1/en
Publication of WO2017107942A1 publication Critical patent/WO2017107942A1/zh

Links

Images

Classifications

    • 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 
    • D06F33/30—Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
    • D06F33/36—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
    • 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
    • D06F2103/06—Type or material
    • 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
    • D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
    • D06F2105/02—Water supply
    • 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
    • D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
    • D06F2105/46—Drum speed; Actuation of motors, e.g. starting or interrupting
    • D06F2105/48—Drum speed
    • 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
    • D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
    • D06F2105/54—Changing between normal operation mode and special operation modes, e.g. service mode, component cleaning mode or stand-by mode
    • 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 
    • D06F33/30—Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
    • D06F33/38—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of rinsing
    • 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 
    • D06F33/30—Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
    • D06F33/40—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of centrifugal separation of water from the laundry
    • 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
    • D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
    • D06F34/04—Signal transfer or data transmission arrangements
    • D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
    • 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
    • D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
    • D06F34/14—Arrangements for detecting or measuring specific parameters
    • D06F34/18—Condition of the laundry, e.g. nature or weight

Definitions

  • the invention relates to the field of washing machine washing, in particular to a laundry washing control method, a washing machine and a system.
  • the corresponding washing program is usually selected according to the fabric of the clothes.
  • Different washing parameters are set in different washing programs, such as washing time, rotation speed, temperature, number of rinsing, etc. Therefore, suitable washing parameters can be quickly and effectively
  • the laundry is washed, and inappropriate washing parameters may cause the laundry to be uncleaned or the laundry may be excessively worn after the washing is completed and extremely easily damaged.
  • the existing washing machine usually does not have the function of judging the fabric of the clothing, and the user needs to distinguish the fabric by himself, and the washing program is selected according to the fabric component; some washing machines have the function of roughly identifying the fabric, and the clothing is judged by the amount of water absorbed by the laundry.
  • the texture is soft, ordinary, and hard cloth. Specifically, the laundry is put in the washing machine. After the water reaches the set water level, the clothes are stirred for a set time. The clothes absorb a certain amount of water during the agitation, and the water level is passed. The sensor detects the difference from the set water level and determines the texture of the laundry by how much the water level drops.
  • the above-mentioned first treatment method for selecting and washing according to the fabric of the fabric requires the user to make an independent judgment, and different users have different judgment ability on the fabric of the fabric, so that the accuracy of the fabric is judged to be extremely low; and even if the user judges the fabric fabric correctly, When there are many types of fabrics, the user may not be able to select or set the most suitable washing parameters, which is inconvenient for the user's laundry.
  • the second method described above judges the clothing material according to the water absorption amount of the clothes, and the method can only be a relatively rough identification method, and is a post-treatment method, that is, the judgment is made only after the clothes are wetted. If it is judged that there is a deviation, the laundry is washed in an incorrect manner, and in the unfavorable case, there is a problem that the laundry is not cleaned or the laundry is excessively worn due to the transition washing.
  • the present invention has been provided in view of the above.
  • the technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, and provide a laundry washing control method, which uses a clothing material identification device to identify a clothing fabric component, and recommends the most suitable washing parameter for the user according to the recognition result, so that the clothing can be accurately identified.
  • the fabric of the garment saves the user's laundry operation, improves the laundry efficiency, and avoids the laundry being worn out or the excessive washing causes the laundry to wear.
  • Another object of the present invention is to provide a washing machine using the above method.
  • the invention provides a laundry washing control method, comprising:
  • the clothing material identification device scans and recognizes the clothing fabric component to obtain identification data
  • S4 The washing machine performs washing according to the recommended washing parameters.
  • step S3 includes:
  • step A1 judging whether only the clothing component information of one piece of clothing is received; if yes, selecting the washing parameter corresponding to the clothing component information; if not, proceeding to step A2:
  • A2 It is judged whether the identified laundry is suitable for shuffling; if so, the washing parameter corresponding to the laundry component information with the highest washing requirement is selected; if not, the laundry is not suitable for shuffling.
  • the correspondence between the identification data and the clothing component information is stored in the first database, and the first database is disposed in the washing machine and/or the cloud;
  • the correspondence between the ingredient information of the laundry and the washing parameters is stored in a second database, which is disposed in the washing machine and/or the cloud.
  • washing machine when the washing machine is in the offline mode, the washing machine and the clothing material identifying device perform data interaction by wired or wireless manner, and steps S2 and S3 are performed by the washing machine;
  • the washing machine When the washing machine is in the online mode, the washing machine exchanges data with the clothing material identifying device and the cloud respectively, and steps S2 and S3 are performed by the cloud.
  • the APP client when the washing machine is connected to the APP client, the APP client performs data exchange with the clothing material identifying device and the washing machine respectively, and steps S2 and S3 are performed by the APP client; or
  • the APP client exchanges data with the clothing material identification device, the washing machine, and the cloud.
  • Step S2 is performed by the cloud
  • step S3 is performed by the APP client.
  • the clothing material identification device is a miniature spectrum analyzer.
  • the miniature optical spectrum analyzer is installed on a control panel of the washing machine.
  • the micro-spectrum analyzer is suspended in the washing machine cabinet and transmitted by wire or wirelessly with the washing machine; or
  • the micro-spectral analyzer is a handheld device that performs data transmission with the APP client wirelessly.
  • washing parameters include water level, washing time, number of rinsing, dehydration time, and rotation speed.
  • the present invention also provides a washing machine adopting the above method, wherein the washing machine is provided with a clothing material identifying device; or
  • the washing machine and the clothing material identification device are connected by wire or wirelessly.
  • the present invention also provides a system using the above method, the system comprising: a washing machine connected with a clothing material identification device; or
  • the system includes a washing machine connected to a cloud server and a clothing material identification device; or
  • the system includes an APP client connected to a washing machine, a clothing material identification device, and a cloud server.
  • the clothing material identification device is used to identify the clothing fabric component, and the clothing material is judged according to the water content, and the recognition accuracy is higher, and the clothing is not required to be immersed, so the recognition process is more time-consuming.
  • the operation is simpler and the clothing recognition efficiency is higher;
  • the corresponding washing parameters are recommended. Compared with the manual selection of the washing parameters, the recommendation is more targeted, and the washing parameters which are more suitable for the fabric or a plurality of fabrics are obtained, which not only solves the problem that the user does not know. What kind of washing program troubles, the laundry efficiency is further improved, the washing is more targeted, and the laundry is not cleaned or the washing is excessively caused to cause the clothing to wear.
  • FIG. 1 is a flow chart of a laundry washing control method according to an embodiment of the present invention.
  • FIG. 2 is a flow chart of a laundry washing control method in an offline mode of a washing machine according to a first embodiment of the present invention
  • FIG. 3 is a flow chart of a laundry washing control method in an online mode of a washing machine according to a second embodiment of the present invention
  • FIG. 4 is a flowchart of a laundry washing control method in a washing machine connected with an APP mode according to a third embodiment of the present invention
  • FIG. 5 is a washing machine provided in Embodiment 4 of the present invention.
  • Figure 6 is a system according to Embodiment 5 of the present invention.
  • Figure 7 is another system provided in Embodiment 6 of the present invention.
  • Figure 8 is another system provided in Embodiment 6 of the present invention.
  • Figure 9 is another system provided in Embodiment 7 of the present invention.
  • Figure 10 is another system provided in embodiment 7 of the present invention.
  • the present invention provides a laundry washing control method, comprising:
  • Step 101 The clothing material identification device scans and recognizes the clothing fabric component to obtain identification data.
  • the clothing material identification device may be a micro-spectral analyzer, and the detection principle is: the micro-spectrum analyzer can emit near-infrared rays to the substance to be tested, and detect active molecules in the substance to be tested, and then analyze the light of the reflected light by the molecular vibration, according to The unique optical characteristics of the light are identified to determine the chemical composition of the material molecules. Specifically, the near-infrared rays emitted by the substance to be tested are subjected to data acquisition and filtering, and then sent to the corresponding processor for processing by the corresponding amplifier. The processed data is analyzed according to the corresponding algorithm, and finally the analyzed data, that is, the identification data is obtained.
  • the micro-spectrum analyzer can emit near-infrared rays to the substance to be tested, and detect active molecules in the substance to be tested, and then analyze the light of the reflected light by the molecular vibration, according to The unique optical characteristics of the light are identified to determine the chemical composition of the material molecules.
  • the miniature spectrum analyzer Compared with ordinary spectrum analyzers, the miniature spectrum analyzer has the characteristics of modularization and high-speed acquisition. It is small in size and can be used to build a spectrum system more flexibly. Therefore, it can be directly installed on the control panel of the washing machine, and the user can wash it before washing. The laundry is placed in front of the device, and the micro-spectrometer can scan and identify the components of the fabric and obtain identification data, wherein each piece of clothing is scanned to obtain corresponding identification data.
  • the micro-spectrum analyzer can also be hung on the washing machine box, and the data is transmitted by the washing machine by wire or wirelessly;
  • the micro-spectral analyzer can also be a handheld device.
  • the micro-spectral analyzer and the APP client wirelessly transmit data.
  • the micro-spectrum analyzer can be directly sent to the washing machine terminal controller for analysis, or can be uploaded to the cloud for analysis by the wireless module of the washing machine, and can also be sent to the APP client, directly analyzed by the APP client or by The APP client sends it to the cloud for analysis.
  • Step 102 Analyze the identification data to obtain clothing component information corresponding to the identification data.
  • the clothing composition information may include cotton cloth, linen, silk, down, wool, leather, chemical fiber, blended, mercerized cotton, chiffon, silk, viscose, acetate fiber, polyester, cotton, polypropylene, spandex, vinylon, Pure linen, summer cloth, interwoven hemp fabric, PARIS, gabardine, plush, melden, cashmere, khaki, mohair, cotton and linen blend, polyester and linen blend, silk, silk, tencel, acrylic, polyester At least one of a blended, polyester blend.
  • the identification data corresponds to the laundry component information, and the corresponding relationship is stored in the first database, and the first database is disposed in the washing machine and/or the cloud.
  • the micro-spectrum analyzer can send the identification data to the washing machine, the first database is set in the washing machine, the washing machine can directly analyze the identification data, and query the clothing corresponding to the identification data in the first database.
  • Ingredient information when the washing machine is in the offline mode, the micro-spectrum analyzer can send the identification data to the washing machine, the first database is set in the washing machine, the washing machine can directly analyze the identification data, and query the clothing corresponding to the identification data in the first database.
  • the miniature spectrum analyzer can send the identification data to the cloud through the wireless communication module on the washing machine, and the cloud is provided with the first database, and the cloud can analyze the identification data to query the first database corresponding to the identification data.
  • the micro-spectral analyzer can also send the identification data to the APP client, the APP client directly analyzes the identification data and obtains the clothing component information; or the APP client transfers the identification data. Sended to the cloud, the cloud analyzes the identification data, and sends the obtained clothing composition information to the APP client.
  • Step 103 Recommend washing parameters according to the laundry ingredient information.
  • the washing parameters include water level, washing time, number of rinsing, dehydrating time, and rotating speed; preferably, the washing parameter further includes temperature and remaining time.
  • Each of the laundry ingredient information may correspond to a set of washing parameters.
  • the corresponding set of washing parameters are: washing time 15 minutes, rinsing times 3 times, dehydration time 3 minutes, temperature 40 ° C, The speed is 1000 rpm.
  • the remaining time refers to the total time required for the washing machine to perform the washing function. After the washing machine starts washing, the remaining time can be displayed on the washing machine display interface and counted down. As the washing process progresses, the remaining time is continuously reduced until the washing process proceeds. Decrease to 0, which means that the washing is completed.
  • the step when the washing machine is in the offline mode, the step can be directly executed by the washing machine; when the washing machine is in the online mode, the step can be performed by the cloud; when the washing machine is connected with the APP client, the step can be performed by the APP client.
  • A1 It is judged whether or not only the laundry ingredient information of one piece of clothing is received; if so, the washing parameter corresponding to the piece of clothing information is selected; if not, the process proceeds to step A2.
  • the washing parameter corresponding to the clothing component information can be directly selected; preferably, if the laundry component information corresponds to the washing parameter
  • the best set of washing parameters can be selected according to the big data, or the user can configure the most suitable set of washing parameters according to the user's historical laundry record.
  • the correspondence between the composition information of the laundry and the washing parameter is stored in the second database, and the second database is set in the washing machine and/or the cloud.
  • A2 It is judged whether the identified laundry is suitable for shuffling; if so, the washing parameter corresponding to the laundry component information with the highest washing requirement is selected; if not, the laundry is not suitable for shuffling.
  • the criterion for judging whether the laundry is suitable for shuffling is judged according to the washing requirement of the material of the laundry.
  • the washing parameters of the linen blended fabrics are shown in Table 1:
  • the clothes made of silk are more likely to be damaged during washing than the clothes of the polyester-and linen-blend material. Therefore, the washing requirement is relatively high, which is reflected in the requirement of shorter washing time, the requirement of temperature setting is that it cannot be heated, and the requirement for setting the rotation speed is that it cannot be dried, so when washing, if the clothes of the two materials are mixed and washed together If the washing strength is too light, the polyester- linen blended clothes are not cleaned, and the washing strength is too strong, which may cause excessive wear of the silk-based clothes and damage the clothes. Therefore, the clothes of the two materials are judged to be unwashable.
  • a data table is preset in the second database, and the data table stores conditions that cannot be mixed with each other (for example, the silk material and the polyester and linen blended materials are not shuffleable), if received more If any two of the pieces of clothing component information satisfy the conditions of the data sheet that cannot be shuffled, the user's clothing is not allowed to be shuffled.
  • the manner of prompting the clothes to be unwashable may be: flashing corresponding lights on the display interface of the washing machine; prompting the user that the current clothes cannot be shuffled by voice; and issuing corresponding music to prompt the user that the current clothes cannot be shuffled.
  • the washing parameter corresponding to the laundry component information with the highest washing requirement is selected.
  • the respective washing parameters are as shown in Table 2:
  • the washing parameters of the two materials are not very different and can be mixed, but the chemical fiber blended material is less washable and has higher washing requirements.
  • the washing temperature and the spin speed cannot be too high. High, therefore, the washing parameters corresponding to the chemical fiber blended material are selected, so as to ensure that the laundry is cleaned and the laundry is prevented from being excessively washed and damaged.
  • Step 104 The washing machine performs washing according to the recommended washing parameters.
  • the washing parameter is recommended by the washing machine itself; or the washing parameter sent by the cloud is received; or the washing parameter sent by the APP client is received, and the washing machine's actuator performs washing according to the washing parameter.
  • this embodiment provides a laundry washing control method, which is applied to an offline mode of a washing machine end, and the method includes:
  • Step 201 The clothing material identification device scans and recognizes the clothing fabric component to obtain identification data.
  • Step 202 The clothing material identifying device transmits the identification data to the washing machine.
  • Step 203 The washing machine analyzes the identification data, and obtains laundry composition information corresponding to the identification data.
  • Step 204 The washing machine determines whether only the clothing component information of one piece of clothing is received.
  • step 205 If yes, go to step 205; if no, go to step 206.
  • Step 205 The washing machine selects the washing parameter corresponding to the laundry ingredient information and performs washing.
  • Step 206 The washing machine determines whether the identified laundry is suitable for shuffling.
  • step 207 If yes, go to step 207; if no, go to step 208.
  • Step 207 The washing machine selects the washing parameter corresponding to the laundry component information with the highest washing requirement and performs washing.
  • Step 208 The washing machine prompts to take out clothes that are not suitable for washing together.
  • the present embodiment provides a laundry washing control method, which is applied to an online mode of a washing machine end, wherein the washing machine is respectively connected to a clothing material identifying device and a cloud, and the method comprises:
  • Step 301 The clothing material identification device scans and recognizes the clothing fabric component to obtain identification data.
  • Step 302 The clothing material identifying device sends the identification data to the cloud.
  • Step 303 The cloud analyzes the identification data to obtain the clothing component information corresponding to the identification data.
  • Step 304 The cloud determines whether only the clothing component information of one piece of clothing is received.
  • step 305 If yes, go to step 305; if no, go to step 306.
  • Step 305 The cloud selects the washing parameter corresponding to the laundry component information and sends it to the washing machine.
  • step 308 the process directly proceeds to step 308.
  • Step 306 The cloud determines whether the identified clothing is suitable for shuffling.
  • step 307 If yes, go to step 307; if no, go to step 309.
  • Step 307 The cloud selects the washing parameter corresponding to the highest laundry component information and sends it to the washing machine.
  • Step 308 The washing machine performs washing after receiving the washing parameters.
  • Step 309 The cloud will prompt that the laundry is not suitable for shuffling, and send a prompt message to the washing machine.
  • Step 310 The washing machine prompts to take out clothes that are not suitable for washing together.
  • the embodiment provides a laundry washing control method, wherein the washing machine is connected to the APP client by wire or wirelessly, and the APP client is respectively connected to the cloud and the clothing material identifying device, and the method includes:
  • Step 401 The clothing material identification device scans and recognizes the clothing fabric component to obtain identification data.
  • Step 402 The clothing material identifying device sends the identification data to the APP client.
  • Step 403 The APP client uploads the identification data to the cloud, and the cloud analyzes the identification data to obtain the clothing component information corresponding to the identification data.
  • Step 404 The cloud returns the clothing component information to the APP client.
  • Step 405 The APP client determines whether only the clothing component information of one piece of clothing is received.
  • step 406 If yes, go to step 406; if no, go to step 407.
  • Step 406 The APP client selects the washing parameter corresponding to the laundry component information and sends it to the washing machine.
  • the APP client queries the second database according to the returned clothing component information, and acquires washing parameters corresponding to the laundry component information, and the second database may be set in the washing machine locally, or may be set in the cloud, and may also be set in the APP client. In the end.
  • step 409 the process directly proceeds to step 409.
  • Step 407 The APP client determines whether the identified clothing is suitable for shuffling.
  • step 408 If yes, go to step 408; if no, go to step 410.
  • Step 408 The APP client selects the washing parameter corresponding to the laundry component information with the highest washing requirement and sends it to the washing machine.
  • the APP client queries the second database according to the returned clothing component information, and obtains the washing parameter corresponding to the laundry component information with the highest washing requirement from the second database, and the second database may be set in the washing machine locally or in the cloud. Can also be set in the APP client.
  • Step 409 The washing machine performs washing after receiving the washing parameters.
  • Step 410 The APP client will prompt that the clothing is not suitable for shuffling, and send a prompt message to the washing machine.
  • Step 411 The washing machine prompts to take out clothes that are not suitable for washing together.
  • the embodiment provides a washing machine, which is equipped with a clothing material identification device, which can identify the clothing fabric and obtain identification data, and the washing machine can analyze the identification data to obtain a specific Clothing composition information, and can recommend the corresponding washing parameters, which can improve the accuracy of identifying the fabric components of the clothing, simplify the user's operation, and recommend the most suitable washing parameters for the user, avoiding the user's selection of an inappropriate washing program.
  • the clothes are not cleaned or the clothes are excessively washed and worn.
  • the clothing material identification device is a miniature spectrum analyzer.
  • the micro-spectral analyzer has the characteristics of modularity and high-speed acquisition, the volume is small, and the spectrum system can be more flexibly built, so that it can be directly installed on the control panel of the washing machine, and used.
  • the micro-spectrum analyzer can scan and recognize the fabric component of the clothing, and obtain identification data, wherein each piece of clothing is scanned, and corresponding identification data can be obtained. .
  • the micro-spectrum analyzer can also be hung on the washing machine box, and the data is transmitted by the washing machine by wire or wirelessly;
  • the micro-spectral analyzer can also be a handheld device.
  • the micro-spectral analyzer and the APP client wirelessly transmit data.
  • the washing machine is also provided with a communication module for data transmission with the cloud server.
  • the embodiment provides a system that can identify the material of the laundry and automatically recommend an optimal washing parameter according to the recognition result.
  • the system includes a clothing material identifying device and a washing machine. Perform data interaction.
  • the clothing material identification device can scan and recognize the clothing fabric component, and obtain identification data, send the identification data to the washing machine for analysis, and the washing machine queries the clothing component information corresponding to the identification data in the first database, according to the clothing The component information queries the corresponding washing parameter in the second database, and after calculation and analysis, the recommended washing parameter is obtained, and the washing machine performs washing according to the recommended washing parameter.
  • the first database and the second database may be disposed in the washing machine.
  • the embodiment provides a system that can identify the material of the laundry and automatically recommend an optimal washing parameter according to the recognition result.
  • the system includes a clothing material identifying device, a washing machine, and a cloud server.
  • a communication module is disposed on the washing machine, and data interaction between the clothing material identification device and the cloud server can be performed through the communication module.
  • the clothing material identification device can scan and recognize the clothing fabric component, and obtain identification data, and send the identification data to the cloud server through the communication module on the washing machine, and the cloud server queries the clothing corresponding to the identification data in the first database.
  • the component information is used to query the corresponding washing parameter in the second database according to the clothing component information, and the recommended washing parameter is obtained after calculation and analysis, and the recommended washing parameter is sent to the washing machine for washing.
  • the clothing material identifying device may be disposed in the washing machine; further preferably, as shown in FIG. 8, the clothing material identifying device may also be a handheld device connected to the washing machine by wire or wirelessly, and Transfer data to the washing machine.
  • the cloud server includes a laundry component analysis server and a laundry care server.
  • the first data may be set in the material composition analysis server, and the second database may be disposed in the laundry care server.
  • the embodiment provides a system that can identify the material of the laundry and automatically recommend an optimal washing parameter according to the recognition result.
  • the system includes an APP client, and the clothing material is respectively connected.
  • the clothing material identification device can scan and recognize the clothing fabric component, and obtain identification data, and send the identification data to the APP client, and the APP client queries the clothing component information corresponding to the identification data in the first database, according to The clothing component information queries the corresponding washing parameter in the second database, and after calculation and analysis, the recommended washing parameter is obtained, and the recommended washing parameter is sent to the washing machine for washing.
  • the clothing material identification device may be disposed in the washing machine, and the data interaction between the APP client and the APP client is performed through the communication module on the washing machine. Further, as shown in FIG. 10 , the clothing material identification device may also be The handheld device is directly connected to the APP client by wire or wirelessly and transmits data to the APP client.
  • the cloud server includes a clothing component analysis server and a laundry care server.
  • the first data may be set in an APP client or a material composition analysis server, and the second database may be disposed in an APP client or a laundry server.

Landscapes

  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Control Of Washing Machine And Dryer (AREA)

Abstract

本发明提供了一种衣物洗涤控制方法、洗衣机及控制系统，所述方法包括：S1：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据；S2：分析识别数据，得出与识别数据对应的衣物成分信息；S3：根据衣物成分信息推荐洗涤参数；S4：洗衣机按照推荐的洗涤参数执行洗涤。本发明可以自动识别衣物材质，并根据衣物材质推荐相应的洗涤参数，提高了洗衣效率、有效的避免了衣物洗不干净或者过度洗涤导致衣物磨损的情况。

Description

一种衣物洗涤控制方法、洗衣机及系统 技术领域
本发明涉及洗衣机洗涤领域，特别涉及一种衣物洗涤控制方法、洗衣机及系统。
背景技术
目前，在洗涤衣物时通常是根据衣物面料来选择对应的洗涤程序，不同洗涤程序中设置有不同的洗涤参数，如洗涤时间、转速、温度、漂洗次数等，因此，合适的洗涤参数可以快速有效地洗涤衣物，而不合适的洗涤参数可能会导致衣物洗不干净或者洗涤完成后衣物过度磨损而极容易损坏。
现有的洗衣机通常都不具有判断衣物面料的功能，需要用户自己区分面料，根据面料成分自主选择洗涤程序；有些洗衣机带有粗略的识别面料的功能，通过放入衣物吸水量的多少判断衣物的质地是柔软、普通、硬布，具体是在洗衣机中放入所洗涤的衣物，进水到设定水位后，进行搅动衣物一设定时间，衣物在搅动过程中会吸收一定的水，通过水位传感器检测到与设定水位的差异，通过水位下降的多少判断衣物的质地。
上述第一种根据衣物面料选择洗涤的处理方式，需要用户自主判断，而不同的用户对衣物面料的判断能力不同，因此判断衣物面料的准确率极低；另外即便是用户对衣物面料判断正确，当面料种类较多时，用户也可能无法选择或设置最合适的洗涤参数，给用户的洗衣带来不便。
上述第二种方式根据衣物吸水量判断衣物质地，该方式只能是一种比较粗略的识别方式，并且是一种事后处理的方式，即将衣物湿透以后才进行判断。如果判断出现偏差，按照不正确的方式进行衣物洗涤，不利的情况下则会出现衣物洗涤不干净或过渡洗涤导致衣物磨损过大的问题。
因此急需一种可识别衣物面料成分的洗衣机，可提高识别衣物面料的准确率，并能为用户推荐最合适的洗涤参数。
有鉴于此特提供本发明。
发明内容
本发明要解决的技术问题在于克服现有技术的不足，提供一种衣物洗涤控制方法，利用衣物材质识别装置识别衣物面料成分，并根据识别结果为用户推荐最合适的洗涤参数，如此可以准确识别衣物面料，节省用户洗衣操作，提高洗衣效率，并且避免衣物洗不干净或者过度洗涤导致衣物磨损。
本发明的另一目的在于提供一种采用上述方法的洗衣机。
本发明的再一目的在于提供一种采用上述方法的系统。
本发明解决其技术问题所采用的技术方案是：
本发明提供一种衣物洗涤控制方法，包括：
S1：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据；
S2：分析识别数据，得出与识别数据对应的衣物成分信息；
S3：根据衣物成分信息推荐洗涤参数；
S4：洗衣机按照推荐的洗涤参数执行洗涤。
进一步地，所述步骤S3包括：
A1:判断是否只接收到一件衣物的衣物成分信息；如果是，则选择该衣物成分信息对应的洗涤参数；如果否，则进入步骤A2：
A2：判断所识别的衣物是否适合混洗；如果是，则选择洗涤要求最高的衣物成分信息对应的洗涤参数；如果否，则提示衣物不适合混洗。
进一步地，识别数据与衣物成分信息的对应关系存储在第一数据库中，所述第一数据库设置在洗衣机和/或云端中；
衣物的成分信息与洗涤参数的对应关系存储在第二数据库中，所述第二数据库设置在洗衣机和/或云端中。
进一步地，当洗衣机处于离线模式时，洗衣机与衣物材质识别装置通过有线或无线方式进行数据交互，步骤S2、S3由洗衣机执行；
当洗衣机处于在线模式时，洗衣机分别与衣物材质识别装置和云端进行数据交换，步骤S2、S3由云端执行。
进一步地，当洗衣机与APP客户端相连时，APP客户端分别与衣物材质识别装置、洗衣机进行数据交换，步骤S2、S3由APP客户端执行；或者
APP客户端与衣物材质识别装置、洗衣机以及云端进行数据交换，步骤S2由云端执行，步骤S3由APP客户端执行。
进一步地，所述衣物材质识别装置为微型光谱分析仪。
进一步地，所述微型光谱分析仪安装在洗衣机上控制面板上；或者
微型光谱分析仪悬挂在洗衣机箱体，与洗衣机通过有线或无线方式进行数据传输；或者
所述微型光谱分析仪为手持式设备，与APP客户端通过无线方式进行数据传输。
进一步地，所述的洗涤参数包括水位、洗涤时间、漂洗次数、脱水时间、转速。
本发明还提供一种采用上述方法的洗衣机，所述洗衣机上安装有衣物材质识别装置；或者
洗衣机与衣物材质识别装置通过有线或无线方式相连。
本发明还提供一种采用上述方法的系统，所述系统包括：洗衣机，连接有衣物材质识别装置；或者
所述系统包括洗衣机，连接有云端服务器和衣物材质识别装置；或者
所述系统包括APP客户端，分别连接有洗衣机、衣物材质识别装置和云端服务器。
本发明具体实施方式提供的技术方案的有益效果是：
第一、利用衣物材质识别装置识别衣物面料成分，相对于人工识别衣物面料或者根据含水量判断衣物材质，其识别的准确率更高，无需对衣物浸泡后再识别，因此识别过程更省时间，操作更简便，衣物识别效率更高；
第二、根据衣物材质推荐相应的洗涤参数，相对于人工选择洗涤参数，其推荐更具有针对性，可得出更适合该面料或者多种面料混合后的洗涤参数，不仅解决了用户不知该选什么样的洗涤程序的烦恼，更提高了洗衣效率，使得洗涤更有针对性，有效的避免了衣物洗不干净或者过度洗涤导致衣物磨损的情况。
附图说明
为了更清楚的说明本发明具体实施方式中的技术方案，下面将对具体实施方式中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的一种衣物洗涤控制方法流程图；
图2是本发明实施例一提供的洗衣机离线模式下的衣物洗涤控制方法流程图；
图3是本发明实施例二提供的洗衣机在线模式下的衣物洗涤控制方法流程图；
图4是本发明实施例三提供的洗衣机连接有APP模式下的衣物洗涤控制方法流程图；
图5是本发明实施例四提供的一种洗衣机；
图6是本发明实施例五提供的一种系统；
图7是本发明实施例六提供的另一种系统；
图8是本发明实施例六提供的另一种系统；
图9是本发明实施例七提供的另一种系统；
图10是本发明实施例七提供的另一种系统。
具体实施方式
如图1所示，本发明提供一种衣物洗涤控制方法，包括：
步骤101：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据。
衣物材质识别装置可以是微型光谱分析仪，其检测原理是：微型光谱分析仪可以对待测物质散发出近红外线，并检测待测物质中的活跃分子，然后通过分析分子振动反射光的光线，根据光线的独特光学特征识别而确定材料分子的化学成分组成，具体是将待测物质散发出的近红外线进行数据采集和滤波器进行滤波后，经过相应的放大器发送给相应的处理器进行处理，对处理的数据根据相应的算法进行分析，最后得出分析后的数据，即识别数据。
微型光谱分析仪与普通的光谱分析仪相比，具有模块化和高速采集的特点，体积较小，可以更灵活地搭建光谱系统，因此可以直接安装在洗衣机的控制面板上，用户可以在洗涤之前把待洗衣物放置在该装置前方，微型光谱分析仪可以对衣物面料成分进行扫描识别，并得到识别数据，其中，每扫描一件衣物，都可得到对应的识别数据。
优选的，微型光谱分析仪还可悬挂在洗衣机箱体上，与洗衣机通过有线或无线方式进行数据传输；
进一步优选的，微型光谱分析仪还可以为手持式设备，当洗衣机与APP客户端相连时，微型光谱分析仪与APP客户端通过无线方式进行数据传输。
对于得到的识别数据，微型光谱分析仪可以直接发送给洗衣机终端控制器进行分析，也可以通过洗衣机的无线模块上传至云端进行分析，还可发送至APP客户端，由APP客户端直接分析或者由APP客户端发送至云端进行分析。
步骤102：分析识别数据，得出与识别数据对应的衣物成分信息。
其中，衣物成分信息可以包括棉布、麻布、丝绸、羽绒、呢绒、皮革、化纤、混纺、丝光棉、雪纺、桑蚕丝、黏胶、醋酯纤维、涤纶、棉纶、丙纶、氨纶、维纶、纯麻细纺、夏布、交织麻织物、派力司、华达呢、长毛绒、麦尔登、山羊绒、卡其、马海毛、棉麻混纺、涤麻混纺、绢丝、真丝、天丝、腈纶、涤棉混纺、涤绢混纺中的至少一种。
其中，识别数据与衣物成分信息相对应，其对应关系存储在第一数据库中，第一数据库设置在洗衣机和/或云端中。
具体地，当洗衣机处于离线模式时，微型光谱分析仪可以将识别数据发送给洗衣机，洗衣机中设置有第一数据库，洗衣机可直接分析识别数据，并查询第一数据库中与识别数据相对应的衣物成分信息；
当洗衣机处于在线模式时，微型光谱分析仪可通过洗衣机上的无线通信模块将识别数据发送给云端，云端设置有第一数据库，云端可以分析识别数据，查询第一数据库中与识别数据相对应的衣物成分信息；
进一步地，当洗衣机与APP客户端连接时，微型光谱分析仪还可将识别数据发送至APP客户端，APP客户端直接分析识别数据并获取衣物成分信息；或者APP客户端将识别数据转 发至云端，由云端分析识别数据，并将获取的衣物成分信息发送至APP客户端。
步骤103：根据衣物成分信息推荐洗涤参数。
其中，洗涤参数包括水位、洗涤时间、漂洗次数、脱水时间、转速；优选的，洗涤参数还包括温度和剩余时间。
其中，每一衣物成分信息可对应一组洗涤参数，例如，衣物成分信息为棉布时，对应的一组洗涤参数为：洗涤时间15分钟，漂洗次数3次，脱水时间3分钟，温度40℃，转速1000rpm。
其中，剩余时间是指洗衣机执行洗涤功能所需的总时间，在洗衣机启动洗涤后，该剩余时间可显示在洗衣机显示界面上并进行倒计时，随着洗涤过程的进行，该剩余时间不断减小直至减到0，即表示完成洗涤。
其中，当洗衣机处于离线模式时，该步骤可由洗衣机直接执行；当洗衣机处于在线模式时，该步骤可由云端执行；当洗衣机与APP客户端连接时，该步骤可由APP客户端执行。
具体地，可通过如下步骤实现:
A1：判断是否只接收到一件衣物的衣物成分信息；如果是，则选择该衣物成分信息对应的洗涤参数；如果否，则进入步骤A2。
当只接收到一件衣物的衣物成分信息时，不存在衣物之间是否可以混洗的情况，因此可直接选择该衣物成分信息对应的洗涤参数；优选的，如果该衣物成分信息对应的洗涤参数有多组时，还可根据大数据选择最佳的一组洗涤参数，或者根据用户的历史洗衣记录为用户配置最适合的一组洗涤参数。
其中，衣物的成分信息与洗涤参数的对应关系存储在第二数据库中，第二数据库设置在洗衣机和/或云端中。
A2：判断所识别的衣物是否适合混洗；如果是，则选择洗涤要求最高的衣物成分信息对应的洗涤参数；如果否，则提示衣物不适合混洗。
其中，判断衣物是否适合混洗的标准是根据衣物材质的洗涤要求进行判断的，洗涤要求越高的，其洗涤强度越低，通常对应的参数设置越低；例如，对于丝绸材质的衣物和涤麻混纺材质的衣物相比，其各自洗涤参数如表1所示：
表1
由表1可知，丝绸材质的衣物相对于涤麻混纺材质的衣物来说，在洗涤时更容易破损， 因此洗涤要求较高，体现在对洗涤时间的要求更短、对温度设置的要求为不能加热，对转速设置的要求为不能甩干，因此在洗涤时，如果这两种材质的衣物混在一起洗涤，洗涤强度太轻容易导致涤麻混纺类衣物洗不干净，洗涤强度太强容易导致丝绸类衣物过度磨损而毁坏衣物，因此将这两种材质的衣物判断为不能混洗。
具体地，根据洗涤要求，在第二数据库中预设有一数据表，该数据表中存储了相互间不能混洗的条件(如丝绸材质与涤麻混纺材质不可混洗)，如果接收到的多件衣物成分信息中有任意两件满足该数据表记录的不能混洗的条件，则提示用户衣物不可混洗。
优选的，提示衣物不可混洗的方式可以是：在洗衣机显示界面闪烁相应指示灯；还可以通过语音提示用户当前衣物不可以混洗；还可以发出相应的音乐来提示用户当前衣物不能混洗。
进一步地，如果衣物可以混洗，则选择洗涤要求最高的衣物成分信息对应的洗涤参数，例如，当棉布材质的衣物和化纤材质的衣物混洗时，其各自洗涤参数如表2所示：
Figure PCTCN2016111420-appb-000002
表2
由表2可知，两种材质衣物的洗涤参数差别并不大，可以混洗，但化纤混纺材质较不耐洗，洗涤要求较高，为防止衣物出现破损，其洗涤温度和脱水转速都不能太高，因此，选择化纤混纺材质对应的洗涤参数，这样既能保证衣物洗涤干净，又可避免衣物过度洗涤而出现破损。
步骤104:洗衣机按照推荐的洗涤参数执行洗涤。
具体地，由洗衣机自身推荐洗涤参数；或者接收云端发送的洗涤参数；或者接收APP客户端发送的洗涤参数，洗衣机的执行机构按照该洗涤参数执行洗涤。
实施例一
如图2所示，本实施例提供一种衣物洗涤控制方法，该方法应用于洗衣机端的离线模式下，该方法包括：
步骤201：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据。
步骤202：衣物材质识别装置将识别数据发送给洗衣机。
步骤203：洗衣机分析识别数据，得出与识别数据对应的衣物成分信息。
步骤204：洗衣机判断是否只接收到一件衣物的衣物成分信息。
如果是，则进入步骤205；如果否，则进入步骤206。
步骤205：洗衣机选择该衣物成分信息对应的洗涤参数并进行洗涤。
步骤206：洗衣机判断所识别的衣物是否适合混洗。
如果是，则进入步骤207；如果否，则进入步骤208。
步骤207：洗衣机选择洗涤要求最高的衣物成分信息对应的洗涤参数并进行洗涤。
步骤208：洗衣机提示将不适合一起洗的衣物取出。
实施例二
如图3所示，本实施例提供一种衣物洗涤控制方法，该方法应用于洗衣机端的在线模式下，其中洗衣机分别与衣物材质识别装置、云端相连，该方法包括：
步骤301：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据。
步骤302：衣物材质识别装置将识别数据发送给云端。
步骤303：云端分析识别数据，得出与识别数据对应的衣物成分信息。
步骤304：云端判断是否只接收到一件衣物的衣物成分信息。
如果是，则进入步骤305；如果否，则进入步骤306。
步骤305：云端选择该衣物成分信息对应的洗涤参数并发送至洗衣机。
具体地，在本步骤执行完成后，直接进入步骤308。
步骤306：云端判断所识别的衣物是否适合混洗。
如果是，则进入步骤307；如果否，则进入步骤309。
步骤307：云端选择洗涤要求最高的衣物成分信息对应的洗涤参数并发送给洗衣机。
步骤308：洗衣机接收到洗涤参数后执行洗涤。
步骤309：云端将提示衣物不适合混洗，并将提示消息发送给洗衣机。
步骤310：洗衣机提示将不适合一起洗的衣物取出。
实施例三
如图4所示，本实施例提供一种衣物洗涤控制方法，其中，洗衣机通过有线或无线方式与APP客户端相连，APP客户端分别与云端、衣物材质识别装置相连，该方法包括：
步骤401：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据。
步骤402：衣物材质识别装置将识别数据发送给APP客户端。
步骤403：APP客户端将识别数据上传至云端，并由云端分析识别数据，得出与识别数据对应的衣物成分信息。
步骤404：云端将衣物成分信息返回给APP客户端。
步骤405：APP客户端判断是否只接收到一件衣物的衣物成分信息。
如果是，则进入步骤406；如果否，则进入步骤407。
步骤406：APP客户端选择该衣物成分信息对应的洗涤参数并发送至洗衣机。
具体地，APP客户端根据返回的衣物成分信息查询第二数据库，并获取与衣物成分信息对应的洗涤参数，该第二数据库可以设置在洗衣机本地，也可以设置在云端，还可以设置在APP客户端中。
进一步，在本步骤执行完成后，直接进入步骤409。
步骤407：APP客户端判断所识别的衣物是否适合混洗。
如果是，则进入步骤408；如果否，则进入步骤410。
步骤408：APP客户端选择洗涤要求最高的衣物成分信息对应的洗涤参数并发送给洗衣机。
具体地，APP客户端根据返回的衣物成分信息查询第二数据库，并从第二数据库中获取洗涤要求最高的衣物成分信息对应的洗涤参数，第二数据库可以设置在洗衣机本地，也可以设置在云端，还可以设置在APP客户端中。
步骤409：洗衣机接收到洗涤参数后执行洗涤。
步骤410：APP客户端将提示衣物不适合混洗，并将提示消息发送给洗衣机。
步骤411：洗衣机提示将不适合一起洗的衣物取出。
实施例四
如图5所示，本实施例提供一种洗衣机，该洗衣机上安装有衣物材质识别装置，该衣物材质识别装置可以识别衣物面料，并得出识别数据，洗衣机可分析该识别数据得出具体的衣物成分信息，并能推荐相应的洗涤参数，如此可以提高识别衣物面料成分的准确率，简化用户的操作，并能为用户推荐最适合洗涤参数，避免用户因为选择了不合适的洗涤程序而导致衣物洗不干净或者衣物过度洗涤出现磨损的情况。
优选该衣物材质识别装置为微型光谱分析仪，由于微型光谱分析仪具有模块化和高速采集的特点，体积较小，可以更灵活地搭建光谱系统，因此可以直接安装在洗衣机的控制面板上，使用时，用户可以在洗涤之前把袋洗衣物放置在该装置前方，微型光谱分析仪可以对衣物面料成分进行扫描识别，并得到识别数据，其中，每扫描一件衣物，都可得到对应的识别数据。
优选的，微型光谱分析仪还可悬挂在洗衣机箱体上，与洗衣机通过有线或无线方式进行数据传输；
进一步优选的，微型光谱分析仪还可以为手持式设备，当洗衣机与APP客户端相连时，微型光谱分析仪与APP客户端通过无线方式进行数据传输。
对于可联网的洗衣机，洗衣机上还设置有通信模块，用于和云服务器进行数据传输。
实施例五
如图6所示，本实施例提供一种系统，该系统可以识别衣物材质并根据识别结果自动推荐最优的洗涤参数，具体地，该系统包括衣物材质识别装置和洗衣机，二者之间可进行数据交互。
该衣物材质识别装置可以对衣物面料成分进行扫描识别，并得出识别数据，将该识别数据发送给洗衣机进行分析，洗衣机查询第一数据库中与该识别数据相对应的衣物成分信息，根据该衣物成分信息查询第二数据库中对应的洗涤参数，经计算分析后得出推荐的洗涤参数，洗衣机按照该推荐的洗涤参数执行洗涤。
其中，第一数据库和第二数据库可设置在洗衣机本机中。
实施例六
如图7和图8所示，实施例提供一种系统，该系统可以识别衣物材质并根据识别结果自动推荐最优的洗涤参数，具体地，该系统包括衣物材质识别装置、洗衣机和云服务器，洗衣机上设置有通信模块，可通过通信模块分别与衣物材质识别装置和云服务器进行数据交互。
该衣物材质识别装置可以对衣物面料成分进行扫描识别，并得出识别数据，将该识别数据通过洗衣机上的通信模块发送给云服务器，云服务器查询第一数据库中与该识别数据相对应的衣物成分信息，根据该衣物成分信息查询第二数据库中对应的洗涤参数，经计算分析后得出推荐的洗涤参数，并将该推荐的洗涤参数发送给洗衣机进行洗涤。
优选的，如图7所示，衣物材质识别装置可设置在洗衣机中；进一步优选的，如图8所示，衣物材质识别装置还可为手持式设备，与洗衣机通过有线或者无线方式相连，并将数据传输给洗衣机。
其中，云服务器包括衣物成分分析服务器和衣物洗护服务器，第一数据可设置在物成分分析服务器中，第二数据库可设置在衣物洗护服务器中。
实施例七
如图9和图10所示，实施例提供一种系统，该系统可以识别衣物材质并根据识别结果自动推荐最优的洗涤参数，具体地，该系统包括APP客户端，分别连接有衣物材质识别装置、洗衣机和云服务器，并进行数据交互。
该衣物材质识别装置可以对衣物面料成分进行扫描识别，并得出识别数据，将该识别数据发送给APP客户端，APP客户端查询第一数据库中与该识别数据相对应的衣物成分信息，根据该衣物成分信息查询第二数据库中对应的洗涤参数，经计算分析后得出推荐的洗涤参数，并将该推荐的洗涤参数发送给洗衣机进行洗涤。
优选的，如图9所示，衣物材质识别装置可设置在洗衣机中，通过洗衣机上的通信模块与APP客户端进行数据交互；进一步优选的，如图10所示，衣物材质识别装置还可为手持式设备，直接与APP客户端通过有线或者无线方式相连，并将数据传输给APP客户端。
其中，云服务器包括衣物成分分析服务器和衣物洗护服务器，第一数据可设置在APP客户端或者物成分分析服务器中，第二数据库可设置在APP客户端或者衣物洗护服务器中。
以上所述仅是本发明的较佳实施例而已，并非对本发明作任何形式上的限制，虽然本发明已以较佳实施例揭露如上，然而并非用以限定本发明，任何熟悉本专利的技术人员在不脱离本发明技术方案范围内，当可利用上述提示的技术内容作出些许更动或修饰为等同变化的等效实施例，但凡是未脱离本发明技术方案的内容，依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与修饰，均仍属于本发明方案的范围内。

Claims (10)

  1. 一种衣物洗涤控制方法，其特征在于,所述方法包括：
    S1：衣物材质识别装置对衣物面料成分进行扫描识别，得到识别数据；
    S2：分析识别数据，得出与识别数据对应的衣物成分信息；
    S3：根据衣物成分信息推荐洗涤参数；
    S4：洗衣机按照推荐的洗涤参数执行洗涤。
  2. 根据权利要求1所述的一种衣物洗涤控制方法，其特征在于，所述步骤S3包括：
    A1:判断是否只接收到一件衣物的衣物成分信息；如果是，则选择该衣物成分信息对应的洗涤参数；如果否，则进入步骤A2：
    A2：判断所识别的衣物是否适合混洗；如果是，则选择洗涤要求最高的衣物成分信息对应的洗涤参数；如果否，则提示衣物不适合混洗。
  3. 根据权利要求1所述的一种衣物洗涤控制方法，其特征在于，识别数据与衣物成分信息的对应关系存储在第一数据库中，所述第一数据库设置在洗衣机和/或云端中；
    衣物的成分信息与洗涤参数的对应关系存储在第二数据库中，所述第二数据库设置在洗衣机和/或云端中。
  4. 根据权利要求1-3任一项所述的一种衣物洗涤控制方法，其特征在于，当洗衣机处于离线模式时，洗衣机与衣物材质识别装置通过有线或无线方式进行数据交互，步骤S2、S3由洗衣机执行；
    当洗衣机处于在线模式时，洗衣机分别与衣物材质识别装置和云端进行数据交换，步骤S2、S3由云端执行。
  5. 根据权利要求1-3任一项所述的一种衣物洗涤控制方法，其特征在于，当洗衣机与APP客户端相连时，APP客户端分别与衣物材质识别装置、洗衣机进行数据交换，步骤S2、S3由APP客户端执行；或者
    APP客户端与衣物材质识别装置、洗衣机以及云端进行数据交换，步骤S2由云端执行，步骤S3由APP客户端执行。
  6. 根据权利要求1所述的一种衣物洗涤控制方法，其特征在于，所述衣物材质识别装置为微型光谱分析仪。
  7. 根据权利要求6所述的一种衣物洗涤控制方法，其特征在于，所述微型光谱分析仪安装在洗衣机上控制面板上；或者
    微型光谱分析仪悬挂在洗衣机箱体，与洗衣机通过有线或无线方式进行数据传输；或者
    所述微型光谱分析仪为手持式设备，与APP客户端通过无线方式进行数据传输。
  8. 根据权利要求1所述的一种衣物洗涤控制方法，其特征在于，所述的洗涤参数包括水位、洗涤时间、漂洗次数、脱水时间、转速。
  9. 一种采用如权利要求1-8任一项所述方法的洗衣机，其特征在于，所述洗衣机上安装有衣物材质识别装置；或者
    洗衣机与衣物材质识别装置通过有线或无线方式相连。
  10. 一种采用如权利要求1-8任一项所述方法的系统，其特征在于，所述系统包括：洗衣机，连接有衣物材质识别装置；或者
    所述系统包括洗衣机，连接有云端服务器和衣物材质识别装置；或者
    所述系统包括APP客户端，分别连接有洗衣机、衣物材质识别装置和云端服务器。
PCT/CN2016/111420 2015-12-25 2016-12-22 一种衣物洗涤控制方法、洗衣机及系统 WO2017107942A1 (zh)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP16877752.2A EP3396041B1 (en) 2015-12-25 2016-12-22 Clothes washing control method, washing machine, and system
JP2018532355A JP2018538088A (ja) 2015-12-25 2016-12-22 衣類の洗浄制御方法、洗濯機及びシステム
KR1020187021031A KR20180093069A (ko) 2015-12-25 2016-12-22 의복 세탁 제어 방법, 세탁기 및 시스템
US16/063,316 US20180363210A1 (en) 2015-12-25 2016-12-22 Clothing washing control method, washing machine and system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510990335.7A CN106917223B (zh) 2015-12-25 2015-12-25 一种衣物洗涤控制方法、洗衣机及系统
CN201510990335.7 2015-12-25

Publications (1)

Publication Number Publication Date
WO2017107942A1 true WO2017107942A1 (zh) 2017-06-29

Family

ID=59088979

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/111420 WO2017107942A1 (zh) 2015-12-25 2016-12-22 一种衣物洗涤控制方法、洗衣机及系统

Country Status (6)

Country Link
US (1) US20180363210A1 (zh)
EP (1) EP3396041B1 (zh)
JP (1) JP2018538088A (zh)
KR (1) KR20180093069A (zh)
CN (1) CN106917223B (zh)
WO (1) WO2017107942A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020529280A (ja) * 2017-08-10 2020-10-08 青島海爾洗衣机有限公司ＱｉｎｇＤａｏ Ｈａｉｅｒ Ｗａｓｈｉｎｇ Ｍａｃｈｉｎｅ Ｃｏ．，Ｌｔｄ． 洗濯機の衣類識別システム、当該システムのバインディング及び衣類識別方法

Families Citing this family (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107653625B (zh) * 2017-08-30 2020-12-01 深圳市盛路物联通讯技术有限公司 一种智能检测方法及智能设备
DE102017215949A1 (de) * 2017-09-11 2019-03-14 BSH Hausgeräte GmbH Handgerät zur verbesserten Wäschebehandlung, System mit einem solchen Handgerät und Verfahren zu seinem Betrieb
CN109594298A (zh) * 2017-09-30 2019-04-09 青岛海尔滚筒洗衣机有限公司 一种使用衣物识别装置的洗衣系统及物联网洗衣机
CN109594299B (zh) * 2017-09-30 2022-12-09 青岛海尔洗涤电器有限公司 一种使用衣物识别装置的洗衣系统及洗衣机
CN109594281B (zh) * 2017-09-30 2021-07-16 青岛胶南海尔洗衣机有限公司 一种衣物识别系统及衣物识别方法
CN109594283B (zh) * 2017-09-30 2024-01-23 青岛海尔洗衣机有限公司 一种使用衣物识别装置的洗衣系统及物联网洗衣机
CN110019322A (zh) * 2017-10-27 2019-07-16 青岛海尔洗衣机有限公司 一种衣物数据收集分析方法及系统
CN107675429B (zh) * 2017-10-31 2022-07-08 天津海尔洗涤电器有限公司 一种羊绒织物的洗涤方法及全自动洗衣机
CN110019122A (zh) * 2017-11-01 2019-07-16 青岛海尔智能技术研发有限公司 一种光学-衣物材质标准数据库的建立方法及系统
EP3569993A1 (en) * 2018-05-16 2019-11-20 BSH Hausgeräte GmbH Method and scanning device for determining spectral data
CN110735281B (zh) * 2018-07-18 2023-06-23 青岛海尔智能技术研发有限公司 洗衣机及其衣物洗涤控制方法
CN110735284B (zh) * 2018-07-18 2023-06-20 青岛海尔智能技术研发有限公司 洗衣机及其衣物洗涤控制方法
CN110735283B (zh) * 2018-07-18 2023-06-23 青岛海尔智能技术研发有限公司 洗衣机及其衣物洗涤控制方法
CN108797013A (zh) * 2018-07-27 2018-11-13 英氏婴童用品有限公司 婴童服饰洗护方法和智能洗护设备
EP3637240B1 (en) * 2018-10-10 2023-06-07 Robert Bosch GmbH Scanning device with improved efficiency and household appliance comprising said scanning device
CN111118812B (zh) * 2018-10-15 2022-08-30 青岛海尔洗衣机有限公司 一种衣物处理系统的控制方法
CN109371629B (zh) * 2018-10-16 2019-11-19 珠海格力电器股份有限公司 一种衣物洗涤方法、系统及存储介质
CN111155278B (zh) * 2018-10-22 2023-06-16 青岛海尔洗衣机有限公司 衣物材质检测方法和洗衣机控制方法
CN109281129B (zh) * 2018-12-03 2020-12-15 义乌市泽宣科技有限公司 洗衣筒定时设置平台
CN109440382A (zh) * 2018-12-10 2019-03-08 珠海格力电器股份有限公司 超声洗衣机及其控制方法
KR20200082999A (ko) 2018-12-31 2020-07-08 삼성전자주식회사 의류 관리 장치 및 그 제어 방법
CN111394937B (zh) * 2019-01-02 2022-06-21 青岛海尔洗衣机有限公司 一种衣物信息识别系统及其控制方法
CN111485363B (zh) * 2019-01-25 2022-10-11 青岛海尔洗衣机有限公司 一种衣物处理系统的控制方法
CN111893704B (zh) * 2019-05-05 2022-10-28 青岛海尔智能技术研发有限公司 衣物护理方法和装置
CN112342733A (zh) * 2019-07-22 2021-02-09 青岛海尔洗衣机有限公司 一种洗衣机及其控制方法
CN112444495B (zh) * 2019-08-27 2024-05-17 青岛海尔智能技术研发有限公司 衣物材质识别设备、方法以及衣物洗护的方法、装置
CN110924066B (zh) * 2019-12-20 2021-10-22 吉林求是光谱数据科技有限公司 基于图像识别技术及光谱技术的衣服材质识别方法及装置
CN111455610A (zh) * 2020-03-26 2020-07-28 安徽康佳同创电器有限公司 一种洗涤参数选择控制方法、洗衣机及存储介质
CN113668176B (zh) * 2020-05-15 2024-01-23 青岛海尔洗衣机有限公司 衣物材质识别装置、洗衣机控制方法及洗衣机
CN112831976A (zh) * 2021-01-07 2021-05-25 格力电器（武汉）有限公司 衣物材质识别及洗涤方案确定方法、洗衣机和服务器
KR20230051842A (ko) * 2021-10-12 2023-04-19 엘지전자 주식회사 의류처리장치의 제어방법

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010054204A1 (en) * 2000-06-26 2001-12-27 Rosasio Ciancimino Method and apparatus for detecting load unbalance in an appliance
CN102517842A (zh) * 2011-08-25 2012-06-27 海尔集团公司 一种自动识别衣物材质信息选择洗涤程序的洗衣机及方法
CN102720034A (zh) * 2012-06-26 2012-10-10 无锡小天鹅股份有限公司 识别衣物污渍种类的方法
CN202671887U (zh) * 2012-06-26 2013-01-16 无锡小天鹅股份有限公司 一种能自动识别衣物的洗衣机
CN203334040U (zh) * 2013-06-03 2013-12-11 哈尔滨师范大学 基于物联网的智能洗衣机
CN204738145U (zh) * 2015-07-10 2015-11-04 威海天力电源科技有限公司 全自动洗衣机的衣物材质自动识别装置

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19855503B4 (de) * 1998-12-01 2006-12-28 BSH Bosch und Siemens Hausgeräte GmbH Wäschebehandlungsmaschine
DE19961459A1 (de) * 1999-12-20 2001-07-12 Bsh Bosch Siemens Hausgeraete Gerät zur Behandlung von Textilien mit einer Auswerteschaltung zur Erkennung der Textilart und/oder der Feuchte eines Wäschestücks
JP2002224486A (ja) * 2001-02-01 2002-08-13 Toshiba Corp 洗濯機
US9453299B2 (en) * 2010-05-17 2016-09-27 Lg Electronics Inc. Home appliance, home appliance system, and method for operating same
JP6250981B2 (ja) * 2013-08-26 2017-12-20 東芝ライフスタイル株式会社 家電機器の情報報知システム
JP6501453B2 (ja) * 2014-04-23 2019-04-17 東芝ライフスタイル株式会社 洗濯機システム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010054204A1 (en) * 2000-06-26 2001-12-27 Rosasio Ciancimino Method and apparatus for detecting load unbalance in an appliance
CN102517842A (zh) * 2011-08-25 2012-06-27 海尔集团公司 一种自动识别衣物材质信息选择洗涤程序的洗衣机及方法
CN102720034A (zh) * 2012-06-26 2012-10-10 无锡小天鹅股份有限公司 识别衣物污渍种类的方法
CN202671887U (zh) * 2012-06-26 2013-01-16 无锡小天鹅股份有限公司 一种能自动识别衣物的洗衣机
CN203334040U (zh) * 2013-06-03 2013-12-11 哈尔滨师范大学 基于物联网的智能洗衣机
CN204738145U (zh) * 2015-07-10 2015-11-04 威海天力电源科技有限公司 全自动洗衣机的衣物材质自动识别装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020529280A (ja) * 2017-08-10 2020-10-08 青島海爾洗衣机有限公司ＱｉｎｇＤａｏ Ｈａｉｅｒ Ｗａｓｈｉｎｇ Ｍａｃｈｉｎｅ Ｃｏ．，Ｌｔｄ． 洗濯機の衣類識別システム、当該システムのバインディング及び衣類識別方法

Also Published As

Publication number Publication date
CN106917223A (zh) 2017-07-04
EP3396041A1 (en) 2018-10-31
CN106917223B (zh) 2019-10-01
KR20180093069A (ko) 2018-08-20
US20180363210A1 (en) 2018-12-20
JP2018538088A (ja) 2018-12-27
EP3396041A4 (en) 2019-01-09
EP3396041B1 (en) 2020-04-22

Similar Documents

Publication Publication Date Title
WO2017107942A1 (zh) 一种衣物洗涤控制方法、洗衣机及系统
CN108914489B (zh) 洗衣机的控制方法、装置、洗衣机及存储介质
US10655261B2 (en) Intelligent laundry device and method therefor
WO2018040939A1 (zh) 一种洗衣机洗涤控制方法及洗衣机
CN108570794B (zh) 一种衣物洗涤控制方法及洗衣机
WO2017162188A1 (zh) 洗涤程序的生成方法、装置及洗衣机
WO2016141648A1 (zh) 一种智能衣物洗涤管理装置、方法及洗衣机
CN102517842B (zh) 一种自动识别衣物材质信息选择洗涤程序的洗衣机及方法
JP2004503853A (ja) 家庭用電気器具の性能最適化のための方法及びシステム
CN205443674U (zh) 一种基于大数据分析的智能洗涤设备
CN207498657U (zh) 一种洗衣机以及洗衣机的控制装置
CN110699909A (zh) 一种衣物处理系统的控制方法
CN112514330A (zh) 家用电器和进行该家用电器的配对的在线系统
CN107541899A (zh) 一种智能洗涤方法及洗衣机
WO2019036974A1 (zh) 一种智能洗涤方法及洗衣机
CN110735283A (zh) 洗衣机及其衣物洗涤控制方法
CN110894658B (zh) 洗涤控制方法、装置以及衣物处理装置
CN108998927A (zh) 一种衣物洗涤控制方法、装置及以及洗衣机
US20230052184A1 (en) Control method for smart clothes treatment system
CN111850944B (zh) 一种洗衣机的控制方法
WO2019205933A1 (zh) 一种衣物处理设备清洗衣物的方法
CN111945382A (zh) 用于衣物处理设备的显示界面自定义控制方法
JP6713133B2 (ja) 衣類のホルムアルデヒドを除去する洗濯機の洗浄方法
CN208822692U (zh) 一种洗涤装置
CN111472130A (zh) 一种衣物处理装置的控制方法及衣物处理装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16877752

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2018532355

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 20187021031

Country of ref document: KR

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 2016877752

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2016877752

Country of ref document: EP

Effective date: 20180725