WO2016145712A1 - Machine à laver et procédé de commande pour celle-ci et système de machine à laver - Google Patents

Machine à laver et procédé de commande pour celle-ci et système de machine à laver Download PDF

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Publication number
WO2016145712A1
WO2016145712A1 PCT/CN2015/077564 CN2015077564W WO2016145712A1 WO 2016145712 A1 WO2016145712 A1 WO 2016145712A1 CN 2015077564 W CN2015077564 W CN 2015077564W WO 2016145712 A1 WO2016145712 A1 WO 2016145712A1
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WIPO (PCT)
Prior art keywords
water quality
washing machine
water
cloud server
quality data
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Application number
PCT/CN2015/077564
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English (en)
Chinese (zh)
Inventor
朱珍珍
班永
王立东
郁昉
曹剑锋
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无锡小天鹅股份有限公司
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Publication of WO2016145712A1 publication Critical patent/WO2016145712A1/fr

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    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • 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
    • 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
    • D06F2103/00—Parameters monitored or detected 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
    • D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/20—Washing liquid condition, e.g. turbidity
    • 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
    • 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
    • D06F33/37—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of metering of detergents or additives

Definitions

  • the invention relates to the technical field of electrical appliances, and in particular to a control method of a washing machine, a washing machine and a washing machine system.
  • the water quality distribution varies greatly from region to region. For example, water hardness in some areas is 200-400 PPM, while water hardness in some areas is below 50 PPM. Calcium and magnesium ions in hard water interact with substances in detergents. The metal salt is formed to deactivate the surfactant of the detergent, thereby reducing the washing performance.
  • the pH distribution of water in different regions is also quite different, generally between 6-10, but most of the detergents are alkaline. If the water is too acidic, it will affect the washing effect of the detergent. When the rinsing residue is alkaline, it is easy to damage clothing and skin. It can be seen that water quality has a great influence on the washing of clothes.
  • the present invention aims to solve at least one of the above technical problems at least to some extent. To this end, the present invention needs to provide a control method for a washing machine.
  • the control method of the washing machine can improve the washing effect by considering the influence of water quality on laundry washing.
  • the present invention also proposes a washing machine and a washing machine system using the control method.
  • an embodiment of the present invention provides a control method for a washing machine, where the washing machine is adapted to establish a network connection with a cloud server, wherein the cloud server stores water quality data corresponding to a plurality of different geographical locations.
  • the method includes the following steps: the washing machine is connected to a cloud server network to obtain a geographical location where the washing machine is located; the washing machine acquires water quality data corresponding to the geographical location from the cloud server; and the washing machine is based on the water quality data Determining laundry parameters; and the washing machine adjusts the laundry program according to the laundry parameters and controls the washing machine to operate after the adjusted laundry program.
  • the washing machine is connected to the cloud server, and the washing machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and determines the laundry parameter according to the water quality data. Furthermore, the laundry program can be automatically adjusted to improve the washing effect of the laundry and improve the intelligence of the washing machine.
  • the water quality data of each geographical location is obtained through the cloud server, and the real-time performance is strong and the data is relatively more accurate.
  • the cloud server stores water quality data of multiple geographic locations, and obtains water quality data of each geographic location by: the cloud server obtains each geographical location through the public service information system. Water quality data; or, the cloud server receives water sample detection data of a plurality of geographical locations to obtain water quality data of each geographical location; or the cloud server communicates with water appliances of multiple geographical locations, according to the water
  • the water detection information fed back by the home appliance obtains water quality data of each geographical location, wherein the water appliance includes a water quality sensor, and the water quality sensor is configured to detect water quality of the geographical location of the water appliance and generate the water detection information.
  • determining, by the washing machine, the laundry parameter according to the water quality data comprises: the washing machine determining a water quality level according to the water quality data; and the washing machine obtaining a laundry parameter corresponding to the water quality level according to the water quality level.
  • the determining, by the washing machine, the water quality level according to the water quality data comprises: determining whether the water quality data is less than a first threshold; if the water quality data is less than the first threshold, determining that the water quality is a first-grade water quality; If the water quality data is greater than the first threshold and less than the second threshold, determining that the water quality is a secondary water quality; if the water quality data is greater than the second threshold and less than a third threshold, determining that the water quality is three Level water quality; and if the water quality data is greater than the third threshold, determining that the water quality is a fourth grade water quality.
  • the water quality data includes water hardness or water pH value.
  • another embodiment of the present invention further provides a washing machine, wherein the washing machine is adapted to establish a network connection with a cloud server, wherein the cloud server stores water quality data corresponding to a plurality of different geographical locations, the washing machine
  • the communication module is configured to establish a network connection with the cloud server to obtain a geographic location where the washing machine is located, and the communication module receives water quality data corresponding to the geographic location sent by the cloud server; a control module, the control module determines a laundry parameter based on the water quality data, and adjusts a laundry program according to the laundry parameter, and controls the washing machine to perform a laundry program operation after adjustment.
  • the washing machine is networked with the cloud server through the communication module, and then the communication module receives the water quality data from the geographical location of the washing machine, and considers the influence of the water quality of the washing machine on the laundry, and the control module determines according to the water quality data.
  • the washing parameters, and then automatically adjust the washing program can improve the washing effect of the clothes, the washing machine is more intelligent, in addition, the washing machine receives the cloud server to obtain the water quality data of the geographical location, the real-time performance is strong, and the data is relatively more accurate.
  • the washing machine further includes a detergent dispensing device that performs detergent dispensing according to the amount of detergent delivered after the control module is adjusted.
  • a further embodiment of the present invention further provides a washing machine system, comprising: a cloud server, wherein the cloud server stores water quality data corresponding to a plurality of different geographical locations; and In the washing machine of the example, the washing machine communicates with the cloud server.
  • a washing machine system is connected to a cloud server through a washing machine, and then laundry
  • the machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and adjusts the washing program according to the water quality data, which can improve the washing effect of the laundry and improve the intelligence of the washing machine.
  • the washing machine passes through the cloud server. Obtaining water quality data of the geographical location, the real-time performance is strong, and the data is relatively more accurate.
  • the cloud server obtains water quality data of each geographical location by: the cloud server acquires water quality data of each geographical location through a public service information system; or the cloud server receives water sample detection of multiple geographical locations. The data is used to obtain the water quality data of each geographical location; or the cloud server communicates with the water appliances of the plurality of geographical locations, and the water quality data of each geographical location is obtained according to the water detection information fed back by the water appliance.
  • the water appliance includes: a water quality sensor for detecting water quality of a geographical location of the water appliance and generating the water detection information; and a communication unit that detects the water by the communication unit Data is sent to the cloud server.
  • FIG. 1 is a flow chart of a control method of a washing machine in accordance with one embodiment of the present invention
  • FIG. 2 is a flow chart of a control method of a washing machine in accordance with an embodiment of the present invention
  • FIG. 3 is a flow chart of a control method of a washing machine in accordance with another embodiment of the present invention.
  • FIG. 4 is a functional block diagram of a washing machine in accordance with one embodiment of the present invention.
  • FIG. 5 is a functional block diagram of a washing machine in accordance with another embodiment of the present invention.
  • FIG. 6 is a block diagram of a washing machine system in accordance with still another embodiment of the present invention.
  • FIG. 7 is a block diagram of a washing machine system in accordance with yet another embodiment of the present invention.
  • the washing machine 100 and the cloud server 200 are connected to each washing machine 100 and the cloud server 200.
  • Communication module 10 and control module 20 detergent dispensing device 30,
  • the public service information system 01 the water appliance 02, the water quality sensor 021, and the communication unit 022.
  • the structure of the first feature described below "on" the second feature may include embodiments in which the first and second features are formed in direct contact, and may include additional features formed between the first and second features. Embodiments such that the first and second features may not be in direct contact.
  • some improvements have also been made in some washing machine solutions, such as installing sensors on the washing machine to indirectly detect water quality data, such as installing a conductivity sensor, and determining the hardness of the water by detecting the conductivity of the water. Although it can reflect local water quality conditions in real time, it increases the production cost of the washing machine.
  • the water quality data of different regions can be stored in the washing machine, and the washing machine searches for the corresponding numerical data through the geographical location selected by the user.
  • the water quality data obtained by the method has poor real-time performance, and the data update rate is low, which is prone to error.
  • FIG. 1 is a flow chart of a control method of a washing machine according to an embodiment of the present invention.
  • the washing machine is adapted to establish a network connection with a cloud server, wherein the cloud server stores water quality data corresponding to a plurality of different geographical locations.
  • the control method of the washing machine comprises the following steps:
  • the washing machine is connected to the cloud server network to obtain the geographical location of the washing machine.
  • the washing machine of the embodiment of the present invention includes a communication module, such as a WIFI module, through which a network connection can be established with the cloud server. After the network connection is established, the cloud server obtains the IP address assigned by the washing machine, thereby determining the geographic location of the washing machine.
  • a communication module such as a WIFI module
  • the washing machine acquires water quality data from a geographical location of the corresponding washing machine in the cloud server.
  • the cloud server stores water quality data of a plurality of geographic locations, such as water hardness and water pH.
  • the water quality data of each geographical location stored in the cloud server can be obtained by:
  • the cloud server can obtain water quality data of each geographical location through the public service information system.
  • the cloud server legally retrieves water quality data of various regions on the China Water Resources Network, the China Environmental Protection Network, and the China Environmental Monitoring Center, and then the cloud The server determines that the water quality data corresponding to the geographical location is sent to the washing machine according to the geographical location of the washing machine, so that the washing machine can obtain the water quality data of the geographical location.
  • the cloud server receives water sample detection data of multiple geographic locations to obtain water quality data corresponding to each geographic location. For example, the water sample of each area is collected for detection, and the detected water quality data is sent to the cloud server, or the water quality daily inspection data of each regional water company is uploaded to the cloud server, and then the cloud server obtains the water quality data of each geographical location.
  • the cloud server and the water appliances in various geographical locations obtain a dishwasher for communication, wherein the water appliance includes a water quality sensor, and the water quality sensor is used to detect the water quality of the water appliance and generate water.
  • the information is detected, and the water appliance sends the water detection information to the cloud server, so that the cloud server obtains the water quality data of each geographical location according to the water detection data fed back by the water appliance.
  • a water appliance such as a water purifier, a water heater, or a dishwasher is in a working state
  • the local water quality is detected by its own water quality sensor and detection data is generated, and then passed through a communication unit integrated on the water home appliance such as a wifi channel.
  • the water quality detection information is uploaded to the cloud server, and the cloud server determines the source of the water quality detection information according to the IP address of the water appliance that is requested, and records the current water quality information and the corresponding area in the database table, and passes through various regions of the country.
  • the real-time water quality information is uploaded, and the database table of the cloud server continuously summarizes the latest water quality data of each area.
  • the water quality data of the current location of the washing machine can be directly synchronized to the washing machine through the network by means of the water quality database table of the cloud server for subsequent analysis and processing of the washing machine.
  • the cloud server can obtain water quality data in the above manner, and the real-time performance is strong, and the water quality data is relatively more accurate.
  • the washing machine determines the laundry parameter according to the water quality data.
  • the washing machine judges the water quality level based on the water quality data.
  • the water quality is divided into four levels of water quality by setting a threshold value of the water quality data, and the washing machine will obtain the water quality data and each threshold value. For comparison, specifically, determining whether the water quality data is less than the first threshold. If the water quality data is less than the first threshold, determining that the water quality is the primary water quality, and if the water quality data is greater than the first threshold and less than the second threshold, determining that the water quality is secondary If the water quality data is greater than the second threshold and less than the third threshold, the water quality is judged to be Grade III water quality; if the water quality data is greater than the third threshold, the water quality is determined to be Grade IV water quality.
  • the water quality data may include, for example, water hardness, water PH quality.
  • the first threshold, the second threshold, and the third threshold in the embodiment may be 100 PPM, 300 PPM, and 500 PPM, respectively.
  • the water quality data indicates the water PH value
  • the first threshold in this embodiment may be 6.5, 8, and 9.5, respectively.
  • the laundry parameters corresponding to the water quality level are determined according to the water quality level. Different grades of water quality correspond to different washing parameters. It can be understood that empirical data can be obtained through experiments for different grades of water quality and their corresponding washing parameters, and empirical data can be saved. After the washing machine obtains the current geographical location water quality data, the water quality level is determined by comparing the water quality data with the set threshold value, and then the corresponding laundry parameters such as the automatic detergent delivery amount, the number of rinsing times, and the washing time are determined according to the water quality level.
  • the washing machine adjusts the washing program according to the washing parameter, and controls the washing machine to adjust the washing program to run.
  • the washing machine obtains a local water hardness of 340 PPM
  • the washing parameters the amount of detergent should be 1.15 times of the default value m, the number of rinsing times is increased by one time, the washing time is increased by 10 minutes, and the washing machine adjusts the corresponding parameters in the washing program.
  • the automatic dispensing system will deliver a detergent amount of 1.15m.
  • the number of rinses and the wash time in the selected washing program are also increased accordingly.
  • control method of the washing machine in the embodiment of the present invention considers the water quality of different regions, and according to the local water quality data of the washing machine, and then intelligently adjusts the washing program, the laundry washing effect can be improved, and the washing machine operation is more intelligent.
  • Embodiment 1 is a flow chart for adjusting the amount of detergent to be dispensed and the number of rinses according to water hardness data of water, and the control method of the washing machine comprises the following steps:
  • L is the water quality data such as water hardness or PH value
  • L1, L2, and L3 are the water quality classification thresholds. If the water quality data L is less than L1, it can be set as the first grade water quality, and between L1 and L2, it is the secondary water quality. It is classified into three grades of water between L2 and L3, and is classified into four grades of water by L3. Different grades of water quality correspond to different washing parameters.
  • step S40 is performed, otherwise step S50 is performed.
  • the detergent dosage is m*0.85, and the number of rinsing is reduced by one.
  • step S60 is performed, otherwise step S70 is performed.
  • the detergent dosage is m, and the number of rinsing is unchanged.
  • step S80 is performed. Otherwise, that is, if the water hardness data is greater than the third threshold, that is, L3, step S90 is performed.
  • the detergent dosage is m*1.15, and the number of rinsing is increased once.
  • the amount of detergent applied was m*1.3, and the number of rinses was increased twice.
  • Embodiment 2 is a flow chart for adjusting the washing time according to the water hardness data, and the control method of the washing machine comprises the following steps:
  • the washing machine is connected to the network to determine the geographical location.
  • step S140 is performed, otherwise step S150 is performed.
  • the washing time is reduced by 10 minutes.
  • step S160 is performed, otherwise step S170 is performed.
  • step S180 is performed. Otherwise, that is, if the water hardness data is greater than the third threshold, that is, L3, step S190 is performed.
  • the washing time is increased by 10 minutes.
  • the washing time is increased by 20 minutes.
  • control method of the washing machine is connected to the cloud server through the washing machine, and then the washing machine obtains the water quality data of the geographical location, and considers the influence of the water quality of the washing machine on the laundry, according to the water quality.
  • the data determines the washing parameters, and then automatically adjusts the washing program, which can improve the washing effect of the clothes and improve the intelligence of the washing machine.
  • the water quality data of each geographical location is obtained through the cloud server, and the real-time performance is strong, and the data is relatively more accurate.
  • another aspect of the present invention also provides a washing machine.
  • the washing machine 100 includes a communication module 10 and a control module 20.
  • the communication module 10 for example, a WIFI module, is configured to establish a network connection with the cloud server, and the cloud server obtains a geographical location where the washing machine 100 is located.
  • the cloud server obtains an IP address assigned by the washing machine, and thus can determine the geographic location of the washing machine.
  • the cloud server stores water quality data corresponding to a plurality of different geographical locations, such as water hardness and water PH value. After the cloud server determines the geographic location of the washing machine 100, the water quality data of the geographic location is sent to the washing machine 100, and the communication module 10 receives the water quality data corresponding to the geographic location of the washing machine 100 sent by the cloud server.
  • the control module 20 determines the laundry parameters based on the water quality data.
  • the control module 20 determines the water quality level based on the water quality data. For example, the water quality is divided into four levels of water quality by setting the threshold of the water quality data, and the control module 20 compares the acquired water quality data with each threshold to determine the water quality corresponding to the numerical data. grade.
  • the control module 20 determines a laundry parameter corresponding to the water quality level based on the water quality level. Different grades of water quality correspond to different washing parameters. It can be understood that empirical data can be obtained through experiments for different grades of water quality and their corresponding washing parameters, and empirical data can be saved.
  • control module 20 adjusts the laundry program according to the laundry parameters, and controls the washing machine 100 to adjust the parameters after the laundry program is run. For example, if it is obtained by the communication module 10 that the local water hardness of the washing machine 100 is 340 PPM, the control module 20 determines that the water hardness of the water belongs to the third-grade water quality by comparison with the laundry parameters of the current or default laundry program, wherein the third-grade water quality is compared.
  • Corresponding laundry parameters the detergent dosage should be 1.15 times the default value m, the number of rinsing times is increased once, and the washing time is increased by 10 minutes. Then the control module 20 adjusts the corresponding parameters in the washing program, for example, the detergent amount is adjusted to 1.15m. The number of rinses and the wash time in the selected washing program are also increased accordingly.
  • the washing machine 100 includes a detergent dispensing device 30, and the detergent dispensing device 30 performs detergent dispensing according to the amount of detergent delivered after the control module 20 adjusts.
  • the control module 20 adjusts the amount of detergent delivered after the control module 20 adjusts.
  • the washing machine is networked with the cloud server through the communication module, and then the communication module receives the water quality data from the geographical location of the washing machine, considers the influence of the water quality of the washing machine on the laundry, and determines the washing parameter according to the water quality data.
  • the laundry program can be automatically adjusted to improve the washing effect of the laundry, and the washing machine is more intelligent.
  • the washing machine receives the water quality data of the geographical location of the cloud server, and the real-time performance is strong, and the data is relatively more accurate.
  • a further embodiment of the present invention further provides a washing machine system.
  • FIG. 6 is a functional block diagram of a washing machine system in accordance with one embodiment of the present invention.
  • the washing machine system 1000 includes a cloud server 200 and the washing machine 100 of the above embodiment.
  • the washing machine 100 communicates with the cloud server 200.
  • the water server data of the plurality of geographic locations is stored in the cloud server 200.
  • the cloud server 200 can determine the geographic location of the washing machine 100 by using the IP address assigned by the washing machine 100, and then adjust The water quality data corresponding to the geographical location is taken, and the water quality data is sent to the washing machine 100, and the washing machine 100 adjusts the washing program according to the water quality data.
  • the cloud server 200 obtains water quality data by the cloud server 200 acquiring the water quality data of each geographical location through the public service information system 01; or the cloud server 200 receiving the water sample detection data of multiple geographical locations.
  • the cloud server 200 communicates with water appliances 02 of a plurality of geographical locations, such as a water purifier, a water heater, a dishwasher, and obtains various geography according to the water detection information fed back by the water appliance 02.
  • Water quality data of the location wherein the water appliance 02 includes a water quality sensor 021 and a communication unit 022, and the water quality sensor 021 is configured to detect the water quality of the geographical location of the water appliance 02 and generate water detection information, and then send the water detection information through the communication unit 022.
  • the cloud server 200 obtains water quality data of each geographic location based on the water detection information.
  • the washing machine is connected to the cloud server, and the washing machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and adjusts the washing program according to the water quality data. Improve the washing effect of the clothes and improve the intelligence of the washing machine.
  • the washing machine obtains the water quality data of the geographical location through the cloud server, and the real-time performance is strong, and the data is relatively more accurate.
  • An ordered list of executable instructions for implementing logical functions may be embodied in any computer readable medium for use in an instruction execution system, apparatus, or device (eg, a computer-based system, a system including a processor, or other A system, device, or device that fetches instructions and executes instructions for use, or in conjunction with such instructions to execute a system, apparatus, or device.
  • a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with such an instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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

Abstract

L'invention concerne une machine à laver et un procédé de commande pour celle-ci, et un système de machine à laver, la machine à laver (100) étant conçue pour établir une connexion de réseau avec un serveur nuagique (200), où des données de qualité d'eau correspondant à une pluralité d'emplacements géographiques différents sont stockées dans le serveur nuagique (200). L'invention comprend les étapes suivantes : une machine à laver (100) et un serveur nuagique (200) établissent une connexion de réseau afin d'acquérir l'emplacement géographique de la machine à laver (100) ; la machine à laver (100) acquiert des données de qualité d'eau correspondant audit emplacement géographique à partir du serveur nuagique (200) ; la machine à laver (100), en fonction des données de qualité d'eau, détermine des paramètres de lavage ; la machine à laver (100), en fonction des paramètres de lavage, règle le programme de lavage, et commande la machine à laver (100) pour qu'elle fonctionne selon le programme de lavage réglé. Le présent procédé de commande de machine à laver, en prenant en compte l'impact de la qualité de l'eau sur le lavage de vêtements, améliore les effets du lavage.
PCT/CN2015/077564 2015-03-19 2015-04-27 Machine à laver et procédé de commande pour celle-ci et système de machine à laver WO2016145712A1 (fr)

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CN201510122722.9 2015-03-19
CN201510122722.9A CN104746288A (zh) 2015-03-19 2015-03-19 洗衣机及其控制方法和洗衣机系统

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CN113075887A (zh) * 2020-01-03 2021-07-06 佛山市云米电器科技有限公司 用水设备的控制方法、云端服务器、系统及可读存储介质
CN113824752A (zh) * 2020-06-19 2021-12-21 青岛海尔洗衣机有限公司 参数处理方法、电器设备及服务器

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