EP4206379A1 - Waschmaschinensteuerungsverfahren - Google Patents

Waschmaschinensteuerungsverfahren Download PDF

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Publication number
EP4206379A1
EP4206379A1 EP22210522.3A EP22210522A EP4206379A1 EP 4206379 A1 EP4206379 A1 EP 4206379A1 EP 22210522 A EP22210522 A EP 22210522A EP 4206379 A1 EP4206379 A1 EP 4206379A1
Authority
EP
European Patent Office
Prior art keywords
washing
parameters
user
washing program
program
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP22210522.3A
Other languages
English (en)
French (fr)
Inventor
Hakan ORENGUL
Umit SAHIN
Gokhan SIR
Egedem AYDOGAN
Ali Kerem GURAN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Arcelik AS
Original Assignee
Arcelik AS
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 Arcelik AS filed Critical Arcelik AS
Publication of EP4206379A1 publication Critical patent/EP4206379A1/de
Pending legal-status Critical Current

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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
    • 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
    • D06F2101/00—User input for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • 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
    • 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
    • D06F2105/52—Changing sequence of operational steps; Carrying out additional operational steps; Modifying operational steps, e.g. by extending duration of steps

Definitions

  • the present invention relates to a washing machine control method wherein washing program parameters are optimized according to user feedback and washing program parameters are created as per user preference without using any Internet connection or a cloud service.
  • washing machines have washing programs defined according to algorithms and parameters determined by certain standards and laboratory studies.
  • detergent type differences In said washing programs, detergent type differences, laundry type selection, the hardness of the mains water used, changes in such parameters and similar parameters sometimes affect the washing programs, and therefore the washing machine cannot fully fulfill the performance expectations of the users. As a result, users become dissatisfied with the performance of the product.
  • the users are enabled to select additional auxiliary functions defined on the washing programs via mobile applications by means of cloud services and/or Internet of Things (IoT), thus customizing washing programs in a limited manner.
  • IoT Internet of Things
  • washing machine with access to Internet.
  • one or more washing program results for any washing program are rated by the user via the mobile application.
  • Washing parameters ratings stain removal, odor, residue, whiteness, wrinkles, humidity, fading, energy and water consumption, etc.
  • the results obtained with the Rule Based Algorithm and the outputs of the washing program are presented to the user and the user is asked if he/she wants to make any changes on the optimized parameters. If the user does not want to make any changes on the optimized parameters, user approval is requested to transfer said parameters to the washing program. If the user wants to make changes on the optimized parameters, a new parameter option is offered to the user through the Rule Based Algorithm. As a result of the user approval, the relevant washing program parameters are updated in line with the user's choices and approvals.
  • the aim of the present invention is the realization of a washing machine control method wherein washing program parameters are optimized according to user ratings and washing program parameters are created as per user preference without using any Internet connection or a cloud service.
  • the washing machine control method realized in order to attain the aim of the present invention, explicated in the first claim and the respective claims thereof, is used in a washing machine comprising a user interface for enabling the user to select the washing parameters and a control unit which controls the operation of the washing machine, and the control method comprises the steps of presenting the parameters of the washing program obtained as a result of the relevant washing program to the evaluation of the user via the user interface at any time during the washing program and/or after the washing program ends, updating the parameters of the washing program rated by the user with the ratings of the user, and running the next washing program in accordance with the updated parameters.
  • the user can make changes in the washing program parameters while not connected to the Internet, without the need for access to Internet, a cloud service and/or Internet of Things (IoT) application.
  • IoT Internet of Things
  • predefined washing program parameters are customized with the ratings offered by the user via the user interface on the control panel on the washing machine, thus improving the performance of the washing machine in accordance with the user satisfaction.
  • the user evaluates, in terms of satisfaction, the most recently performed washing program in the washing machine and the parameters thereof via the user interface on the washing machine control panel, at the end of the washing programs predetermined as optimizable and/or at any time during the normal operating time.
  • the user rates the parameters such as odor, wrinkles, humidity of the laundry, washing time, sound, noise level, detergent residue and shrinking of the laundry via the user interface on the control panel.
  • the parameters obtained at the end of the optimized washing program are matched with the user ratings and transmitted to the machine learning block in the control unit.
  • new washing program parameters are calculated in accordance with the parameters obtained at the end of the washing program and the ratings by the user. This calculation is preferably carried out by using the edge computing method.
  • the machine learning block contains information about which parameters are to be changed with which values in the washing program. According to the information in the machine learning block, the relevant washing program parameters are updated on the control unit, and the washing program is carried out as per the ratings by the user.
  • the present invention if the user is not satisfied with the performance of the washing program and/or wants to optimize the washing program as per his/her needs, the most suitable washing program parameters for the user are recreated and the relevant washing program is updated by means of the machine learning block as per user satisfaction ratings.
  • the parameter optimizations of the washing program deemed necessary by the user are carried out via a user interface through the edge computing and machine learning blocks on the SoC (system on chip).
  • the user stays within the safety limits determined for the washing program and updates the washing program parameters as per his/her preference, thus obtaining a washing program according to these parameters.
  • the 'reset' operation can be performed via the user interface by means of certain key combinations.
  • the user is enabled to eliminate the performance losses/differences caused by detergent type differences, laundry type differences, water hardness level differences and similar effects, and to obtain a washing machine with a washing performance which satisfies the user.
  • FIG. 1 - is the view of the flow chart of the control method.
  • the washing machine control method is used in a washing machine comprising a user interface for enabling the user to select the washing parameters and a control unit which controls the operation of the washing machine, and the control method comprises the steps of presenting the parameters of the washing program obtained as a result of the washing program to the evaluation of the user via the user interface during the washing program and/or after the washing program ends, updating the parameters of the washing program rated by the user with the ratings of the user, and running the next washing program in accordance with the updated parameters ( Figure 1 ).
  • the user can make changes in the washing program parameters while not connected to the Internet, without the need for access to Internet, a cloud service and/or Internet of Things (IoT) application.
  • IoT Internet of Things
  • predefined washing program parameters are customized with the ratings offered by the user via the user interface on the control panel on the washing machine, thus improving the performance of the washing machine in accordance with the user satisfaction.
  • the user evaluates, in terms of satisfaction, the most recently performed washing program in the washing machine and the parameters thereof via the user interface on the washing machine control panel, at the end of the washing programs predetermined as optimizable and/or at any time during the normal operating time, for example, at a standby state following the end of the washing program or before the activation of the next washing program.
  • the user rates the parameters such as odor, wrinkles, humidity of the laundry, washing time, sound, noise level, detergent residue and shrinking of the laundry via the user interface on the control panel.
  • the parameters obtained at the end of the optimized washing program are matched with the user ratings and transmitted to the machine learning block in the control unit.
  • new washing program parameters are calculated in accordance with the parameters obtained at the end of the washing program and the ratings by the user. This calculation is preferably carried out by using the edge computing method.
  • the machine learning block contains information about which parameters are to be changed with which values in the washing program. According to the information in the machine learning block, the relevant washing program parameters are updated on the control unit, and the washing program is carried out as per the ratings by the user.
  • the present invention if the user is not satisfied with the performance of the washing program and/or wants to optimize the washing program as per his/her needs, the most suitable washing program parameters for the user are recreated and the relevant washing program is updated by means of the machine learning block as per user satisfaction ratings.
  • the parameter optimizations of the washing program deemed necessary by the user are carried out via a user interface through the edge computing and machine learning blocks on the SoC (system on chip).
  • the user stays within the safety limits and updates the washing program parameters as per his/her preference, thus obtaining a washing program according to these parameters.
  • the relevant washing program parameters are updated on the control unit and offered to the approval of the user, and if approved by the user, the washing program is carried out as per the ratings by the user. If the user does not approve, the current washing program and parameters are continued.
  • the parameters obtained at the end of the washing program (100) are recorded (101) and these parameters are enabled to be rated as per user satisfaction (102). If the user rates the same as per his/her satisfaction, the ratings are received (103) and transferred to the machine learning block after being matched with the parameters (104). In the machine learning block, new washing program parameters are formed with the recalculated parameters as a result of ratings (105). If there is no rating in terms of satisfaction, the current washing program continues.
  • the 'reset' operation can be performed via the user interface by means of certain key combinations.
  • the user is enabled to eliminate the performance losses/differences caused by detergent type differences, laundry type differences, water hardness level differences and similar effects, and to obtain a washing machine with a washing performance which satisfies the user.

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  • Engineering & Computer Science (AREA)
  • Textile Engineering (AREA)
  • Control Of Washing Machine And Dryer (AREA)
EP22210522.3A 2021-12-30 2022-11-30 Waschmaschinensteuerungsverfahren Pending EP4206379A1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TR202121822 2021-12-30

Publications (1)

Publication Number Publication Date
EP4206379A1 true EP4206379A1 (de) 2023-07-05

Family

ID=84367203

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22210522.3A Pending EP4206379A1 (de) 2021-12-30 2022-11-30 Waschmaschinensteuerungsverfahren

Country Status (1)

Country Link
EP (1) EP4206379A1 (de)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105970547A (zh) * 2016-05-31 2016-09-28 无锡小天鹅股份有限公司 洗衣机的控制方法及洗衣机的控制***
US20160312396A1 (en) 2015-04-27 2016-10-27 The Procter & Gamble Company Method for improving washing machine performance
US20200248361A1 (en) * 2019-02-01 2020-08-06 Lg Electronics Inc. Laundry treating apparats and control method of on-line system containing the same
US10905304B2 (en) * 2010-02-26 2021-02-02 Whirlpool Corporation User interface for appliance cycle optimization
DE102019213656A1 (de) * 2019-09-09 2021-03-11 BSH Hausgeräte GmbH Haushaltsgerät, System mit einem Haushaltsgerät und Verfahren zum Betreiben eines Haushaltsgeräts

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10905304B2 (en) * 2010-02-26 2021-02-02 Whirlpool Corporation User interface for appliance cycle optimization
US20160312396A1 (en) 2015-04-27 2016-10-27 The Procter & Gamble Company Method for improving washing machine performance
CN105970547A (zh) * 2016-05-31 2016-09-28 无锡小天鹅股份有限公司 洗衣机的控制方法及洗衣机的控制***
US20200248361A1 (en) * 2019-02-01 2020-08-06 Lg Electronics Inc. Laundry treating apparats and control method of on-line system containing the same
DE102019213656A1 (de) * 2019-09-09 2021-03-11 BSH Hausgeräte GmbH Haushaltsgerät, System mit einem Haushaltsgerät und Verfahren zum Betreiben eines Haushaltsgeräts

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