WO2015189013A1 - Appareil ménager à fonctionnement statistiquement contrôlable - Google Patents

Appareil ménager à fonctionnement statistiquement contrôlable Download PDF

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Publication number
WO2015189013A1
WO2015189013A1 PCT/EP2015/061062 EP2015061062W WO2015189013A1 WO 2015189013 A1 WO2015189013 A1 WO 2015189013A1 EP 2015061062 W EP2015061062 W EP 2015061062W WO 2015189013 A1 WO2015189013 A1 WO 2015189013A1
Authority
WO
WIPO (PCT)
Prior art keywords
household appliance
probability
appliance
profile
user
Prior art date
Application number
PCT/EP2015/061062
Other languages
German (de)
English (en)
Inventor
Stefan Lober
Carsten Weiss
Sebastian Winner
Original Assignee
BSH Hausgeräte GmbH
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 BSH Hausgeräte GmbH filed Critical BSH Hausgeräte GmbH
Publication of WO2015189013A1 publication Critical patent/WO2015189013A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J31/00—Apparatus for making beverages
    • A47J31/44—Parts or details or accessories of beverage-making apparatus
    • A47J31/52—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J31/00—Apparatus for making beverages
    • A47J31/44—Parts or details or accessories of beverage-making apparatus
    • A47J31/52—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus
    • A47J31/521—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus the electronic control being performed over a network, e.g. by means of a computer or a handheld device
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J31/00—Apparatus for making beverages
    • A47J31/44—Parts or details or accessories of beverage-making apparatus
    • A47J31/52—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus
    • A47J31/525—Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus ; Timers for coffee- or tea-making apparatus; Electronic control devices for coffee- or tea-making apparatus the electronic control being based on monitoring of specific process parameters
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J31/00—Apparatus for making beverages
    • A47J31/44—Parts or details or accessories of beverage-making apparatus
    • A47J31/54—Water boiling vessels in beverage making machines
    • A47J31/542—Continuous-flow heaters
    • A47J31/545—Control or safety devices
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
    • A47J31/00—Apparatus for making beverages
    • A47J31/44—Parts or details or accessories of beverage-making apparatus
    • A47J31/54—Water boiling vessels in beverage making machines
    • A47J31/56—Water boiling vessels in beverage making machines having water-level controls; having temperature controls

Definitions

  • the present invention relates to a household appliance with a controllable operation.
  • a household appliance such as a coffee machine, often includes a detector for detecting a use of the household appliance by a user.
  • a coffee machine often includes a counter for counting coffee purchases by one or a plurality of users.
  • the household appliance may be configured to store data regarding the detected use of the household appliance in a memory of the household appliance and to control an operation of the household appliance on the basis of the stored data.
  • the coffee machine stores a number of coffee references and determines a time for a cleaning cycle or a descaling cycle of the coffee machine on the basis of the stored number of coffee references. Controlling the operation of the household appliance is often done on the basis of the stored data and a predetermined logic.
  • the object is achieved by a household appliance with a controllable operation, comprising: a detector for detecting a current use of the household appliance by a user; a provisioning means for providing a probability profile, wherein the probability profile Indicates probabilities of future uses of the household appliance as a function of current uses of the household appliance, wherein the probabilities of future uses are assigned to predictive operating parameters for the controllable operation of the household appliance; a processor configured to determine a likelihood of future use of the home appliance based on a likelihood profile and the current usage of the home appliance and to select a predictive operating parameter associated with the determined likelihood; and a controller for setting the selected predictive operating parameter to control the home appliance.
  • the technical advantage is achieved that the operation of the household appliance can be efficiently adapted to the use of the household appliance.
  • a household appliance is a device that is used for household management. This may be a large household appliance, such as a washing machine, a tumble dryer, a dishwasher, a cooking appliance, an extractor hood or a refrigerator, such as a refrigerator. a refrigerator, a freezer or a fridge-freezer. But this can also be a small household appliance, such as a water heater, a coffee machine, a food processor or a vacuum cleaner.
  • a refrigeration appliance is understood in particular to mean a domestic refrigeration appliance, that is to say a refrigeration appliance which is used for household management or in the gastronomy sector, and in particular for storing food and / or drinks at specific temperatures, such as, for example, a refrigerator, a freezer, a refrigerated freezer combination, a freezer or a wine fridge.
  • the detector may include a counter by means of which a number of openings of a household appliance door of the household appliance may be detected by a user. Further, the detector may comprise an actuator by means of which the domestic appliance can be used by a user.
  • the household appliance is designed as a coffee machine and the actuator comprises a button, by means of which a coffee can be obtained.
  • the household appliance is designed as a laundry care appliance and the user can select and / or start a washing program by means of the actuating element.
  • the current use of the household appliance may be a previous use or a sequence of previous uses of the household appliance by a user or a plurality of users.
  • the future uses of the household appliance may include a plurality of possible future uses of the household appliance by a user or a plurality of users. Any future use of the plurality of possible future uses may be assigned a probability that the possible future use will occur.
  • the probability can be determined by a probabilistic probability model, for example according to the theorem of Bayes or the Bayes rule.
  • the majority of the possible future uses with the respectively associated probability can form a probability profile.
  • the provision device may comprise a memory in which the probability profile may be pre-stored.
  • the probability profile may be predetermined or determined and / or updated during the operation of the household appliance.
  • the probability profile is set at a first device of the household appliance or the probability profile is based on determined by means of market research regional data for use of the household appliance.
  • the probabilities associated with the plurality of possible future uses may be redetermined in response to detecting a usage of the home appliance, for example, Bayes's or Bayes's rule.
  • the probability profile can be loadable into the memory.
  • the predictive operating parameter can be an operating parameter by means of which a possible future use of the household appliance can be facilitated and / or based on which the operation of the household appliance can be optimized.
  • the household appliance is designed as a laundry care appliance and the predictive operating parameter comprises a washing program which can be preset.
  • the predictive operating parameter can be a time for switching on a compressor or a compressor Include speed of a compressor.
  • the domestic appliance is also designed as a fully automatic coffee machine, the predictive operating parameter can be a specific coffee program which can be preset.
  • the selection of the predictive operating parameter may be performed on the basis of the determined probability. For example, the possible future use is identified with the highest probability and the highest probability associated predictive operating parameters are selected.
  • the controller may include a processor or may be formed by a processor configured to adjust the selected predictive operating parameter.
  • the provisioning device has a local memory for providing a probability profile, or the provisioning device has a communication interface for retrieving the probability profile via a communication network from a network data store, in particular from a cloud data store.
  • the communication interface may include a wired and / or a wireless communication interface.
  • the communication interface comprises a serial interface, an interface according to the standard Universal Serial Bus (USB), an interface according to the standard Local Area Network (LAN), an interface according to the standard Powerline Communication (PLC) or an interface for wireless communication after one Bluetooth, ZigBee or Wireless Local Area Network (W-LAN) standards.
  • the communication network may be a telephone network, a cellular network, a computer network, such as a Local Area Network (LAN) or a Wireless Local Area Network (W-LAN), or the Internet.
  • LAN Local Area Network
  • WLAN Wireless Local Area Network
  • the cloud data store may be a network data store connected to the home appliance via the Internet.
  • the probabilities of the probability profile are digital probability values.
  • the processor is designed to select the greatest probability from a plurality of probabilities of the probability profile for the detected current use in order to determine the probability for the future use of the household appliance.
  • the probabilities of the probability profile are further associated with times of the current uses, and the processor is adapted to detect the time of the current use and the highest probability for the detected time from a plurality of probabilities of the probability profile for the detected current Use to select the probability of future use of the household appliance.
  • the probability profile is assigned to the user, or the probability profile is assigned to a user group, or the probability profile is assigned to the household appliance.
  • the current use of the household appliance is a single use of the household appliance or a sequence of uses of the household appliance within a predetermined time interval.
  • the predetermined time interval is one day, three days, one week, two weeks, one month, two months, three months, six months, one year or two years.
  • the processor is designed to update the probability profile with the detected current use.
  • the technical advantage is achieved that the operation of the household appliance can be adapted to the use of the household appliance by a user or a plurality of users.
  • the processor is configured to update the likelihood profile based on the Bayes or Bayes rule set.
  • the probabilities of future uses are conditional probabilities for the occurrence of future use under the condition of the occurrence of the current use.
  • the household appliance comprises a display element for displaying manually selectable operating parameters of the domestic appliance, and the controller is configured to set manually selectable operating parameters of the display element as a function of the selected predictive operating parameter.
  • the display element may comprise a liquid crystal display or a luminous element, such as a light emitting diode. Furthermore, by means of the display element, a program of the household appliance, such as a washing program, can be displayed, which the user can start to use the household appliance.
  • the controller is designed to operate the household appliance on the basis of the selected predictive operating parameter. As a result, for example, the technical advantage is achieved that the household appliance can be operated efficiently.
  • the detector is formed, an opening of a household appliance door, a number of openings of a household appliance door within a predetermined time interval, an opening period of a household appliance door, a closing time of a household appliance door, a manual adjustment of an operating parameter by the user, in particular a temperature or a Operation duration or a sequence program of the household appliance, switching on the household appliance by the user, or to turn off the household appliance by the user as the current use of the household appliance to capture.
  • the technical advantage is achieved, for example, that a use of the household appliance can be detected efficiently by a user.
  • the detector may further comprise a counter, a timer and / or a temperature sensor.
  • the household appliance comprises a communication interface, which is designed to receive information about a further current use of another household appliance by the user via a communication network, wherein the processor is designed, the probability of the future use of the household appliance on the basis the probability profile, the current use of the household appliance and the received information about the further current use of the other household appliance to determine.
  • the communication interface may include a wired and / or a wireless communication interface.
  • the communication interface comprises a serial interface, an interface according to the standard Universal Serial Bus (USB), an interface according to the standard Local Area Network (LAN), a standard Powerline Communication (PLC) interface or a wireless communication interface according to one of the Bluetooth, ZigBee or Wireless Local Area Network (W-LAN) standards.
  • USB Universal Serial Bus
  • LAN Local Area Network
  • PLC Powerline Communication
  • WLAN Wireless Local Area Network
  • the communication network may be a telephone network, a cellular network, a computer network, such as a Local Area Network (LAN) or a Wireless Local Area Network (W-LAN), or the Internet.
  • LAN Local Area Network
  • WLAN Wireless Local Area Network
  • the communication interface is designed to transmit the selected predictive operating parameter via a communication network to a network data memory, in particular to a cloud data memory.
  • the household appliance is a refrigeration appliance, in particular a no-frost refrigeration appliance, a laundry care appliance, in particular a washing machine, a dishwasher or a coffee machine.
  • the technical advantage is achieved that an operation of a conventional household appliance based on the use of the household appliance can be controlled.
  • the controller is designed to predictively set the selected predictive operating parameter independently of an occurrence of the future use, in particular before the occurrence of future use.
  • the controller is configured to set a temperature in an interior of the household appliance as a function of the selected predictive operating parameter.
  • the household appliance may be formed with a household appliance door, via which the interior of the household appliance may be accessible to a user.
  • the household appliance is designed as a refrigerator with a refrigerator door. Opening the refrigerator door may cause a temperature change in the interior of the refrigerator.
  • the domestic appliance comprises a refrigerant circuit with a compressor, the controller being designed to control the compressor in dependence on the selected predictive operating parameter, in particular to switch on the compressor, to switch off the compressor, or to change a compressor speed.
  • the household appliance is a refrigeration appliance
  • the controller is designed to determine a defrosting time in dependence on the selected predictive operating parameter and a defrosting procedure at the determined defrosting time, in particular by reducing a compressor speed of a compressor of the refrigeration appliance or by switching on a defrost heater of the refrigerator, to initiate.
  • the technical advantage is achieved that energy efficiency of the refrigeration device can be increased.
  • the refrigeration device can be designed as a no-frost refrigeration device.
  • the controller is designed to provide a time for executing an operating program, in particular one Maintenance program, the home appliance depending on the selected predictive operating parameters and an energy tariff scheme to determine and run the operating program at the specific time.
  • the household appliance is a coffee machine
  • the selected predictive operating parameter indicates a temperature, a type of coffee, a degree of coffee grinding or a coffee strength.
  • the coffee machine can be designed as a coffee machine.
  • the household appliance is a laundry care appliance
  • the selected predictive operating parameter indicates a washing program or a washing temperature or a quantity of water.
  • the object is achieved by a method for controllably operating a household appliance, comprising: detecting a current use of the household appliance by a user; Providing a probability profile, wherein the probability profile indicates probabilities of future uses of the household appliance as a function of current uses of the household appliance, wherein the probabilities of future uses are associated with predictive operating parameters for the controllable operation of the household appliance; Determining a likelihood of future use of the home appliance based on a likelihood profile and the current usage of the home appliance; Selecting a predictive operational parameter associated with the determined probability; and setting the selected predictive operating parameter for controlling the household appliance.
  • the technical advantage is achieved that the operation of the household appliance can be adapted to a use of the household appliance.
  • the current use of the household appliance may be a previous use or a sequence of previous uses of the household appliance by a user or a plurality of users.
  • the future uses of the household appliance may include a plurality of possible future uses of the home appliance of a user or a plurality of users. Any future use of the plurality of possible future uses may be assigned a probability that the possible future use will occur.
  • the probability can be determined by a probabilistic probability model, for example according to the theorem of Bayes or the Bayes rule. The majority of the possible future uses with the respectively associated probability can form a probability profile.
  • the probability profile can be pre-stored in a memory. Furthermore, the probability profile may be predetermined or determined and / or updated in the course of the operation of the household appliance. For example, the probability profile is set at a first device of the household appliance or the probability profile is based on determined by means of market research regional data for use of the household appliance. For determining or updating the likelihood profile, the probabilities associated with the plurality of possible future uses may be redetermined in response to detecting a usage of the home appliance, for example, Bayes's or Bayes's rule. Furthermore, the probability profile can be loadable into the memory.
  • the predictive operating parameter can be an operating parameter by means of which a possible future use of the household appliance can be facilitated and / or based on which the operation of the household appliance can be optimized.
  • the household appliance is designed as a laundry care appliance and the predictive operating parameter comprises a washing program which can be preset.
  • the predictive Operating parameters include a time for turning on a compressor or a speed of a compressor.
  • the domestic appliance is also designed as a fully automatic coffee machine
  • the predictive operating parameter can be a specific coffee program which can be preset.
  • the selection of the predictive operating parameter may be performed on the basis of the determined probability. For example, the possible future use is identified with the highest probability and the highest probability associated predictive operating parameters are selected.
  • the detection of the current use can be performed by means of the above-described detector. Furthermore, the provision of the probability profile can be carried out by means of the above-described provision device. The determination of the probability and the selection of the predictive operating parameter can also be carried out by means of the processor described above. Further, the setting of the predictive operation parameter may be performed by the above-described control.
  • Fig. 1 is a schematic representation of a household appliance with a controllable operation
  • FIG. 2 shows a schematic cross-sectional view of a refrigeration device with a controllable operation according to an embodiment
  • FIG. 3 shows a schematic view of a laundry care appliance with a controllable operation according to an embodiment
  • FIG. 4 shows a schematic view of a dishwasher with a controllable operation according to an embodiment
  • 5 shows a schematic view of a coffee machine with a controllable operation according to an embodiment
  • FIG. 6 is a schematic diagram of a method for controllably operating a household appliance.
  • Fig. 1 shows a schematic representation of a household appliance 100 with a controllable operation.
  • the home appliance 100 comprises a detector 101, a provision device 103, a processor 105 and a controller 107.
  • the home appliance 100 with a controllable operation may be configured with: the detector 101 for detecting a current use of the home appliance 100 by a user; the provisioning means 103 for providing a likelihood profile, the likelihood profile indicating probabilities of future uses of the household appliance 100 in response to current uses of the home appliance 100, the probabilities of future uses being associated with predictive operating parameters for the controllable operation of the home appliance 100; the processor 105 configured to determine a likelihood of future use of the home appliance 100 based on a likelihood profile and the current usage of the home appliance 100 and to select a predictive operating parameter associated with the determined likelihood; and the controller 107 to set the selected predictive operating parameter to control the home appliance 100.
  • a domestic appliance 100 is understood to mean a device which is used for household management.
  • This may be a large household appliance, such as a washing machine, a tumble dryer, a dishwasher, a cooking appliance, a cooker hood or a refrigerator, such as a refrigerator, a freezer or aissergefrierkombination. But this can also be a small household appliance, such as a water heater, a coffee machine, a food processor or a vacuum cleaner.
  • a refrigeration appliance is understood in particular to mean a domestic refrigeration appliance, that is to say a refrigeration appliance that is used for household management or in the gastronomy sector, and in particular for storing food and / or drinks at specific temperatures, such as, for example, a refrigerator, a freezer, a refrigerated freezer combination, a freezer or a wine fridge.
  • the detector 101 may include a counter by means of which a number of openings of a household appliance door of the household appliance 100 may be detected by a user. Further, the detector 101 may include an actuator by means of which the household appliance 100 may be used by a user.
  • the household appliance 100 is designed as a coffee machine and the actuating element comprises a button, by means of which a coffee can be obtained.
  • the household appliance 100 is designed as a laundry care appliance and the user can select and / or start a washing program by means of the actuating element.
  • the current usage of the home appliance 100 may be a prior use or a sequence of previous uses of the home appliance 100 by a user or a plurality of users.
  • the future uses of the home appliance 100 may include a plurality of possible future uses of the home appliance 100 by a user or a plurality of users. Any future use of the plurality of possible future uses may be assigned a probability that the possible future use will occur.
  • the probability can be determined by a probabilistic probability model, for example according to the theorem of Bayes or the Bayes rule. The majority of the possible future uses with the respectively associated probability can form a probability profile.
  • an a posteriori probability can be calculated according to the formula
  • the probability p (xly) P (y) where the probability p (x
  • the Bayes rule can be derived from the formula
  • p (x, y) denotes the probability that events x and y will occur.
  • the provision device 103 may comprise a memory in which the probability profile may be pre-stored.
  • the probability profile may be predetermined or determined and / or updated during operation of the household appliance 100.
  • the probability profile is set at a first device of the home appliance 100 or the likelihood profile is based on regional data for use of the household appliance 100 determined by market research.
  • the probabilities associated with the plurality of possible future uses may be responsive to detection a use of the household appliance 100 be redetermined, for example, according to the law of Bayes or the Bayes rule.
  • the probability profile can be loadable into the memory.
  • the predictive operating parameter can be an operating parameter by means of which a possible future use of the household appliance 100 can be facilitated and / or based on which the operation of the household appliance 100 can be optimized.
  • the household appliance 100 is designed as a laundry care appliance, and the predictive operating parameter includes a washing program which can be preset.
  • the predictive operating parameter may include a time for switching on a compressor or include a speed of a compressor.
  • the predictive operating parameter can be a specific coffee program, which can be preset.
  • the selection of the predictive operating parameter may be performed on the basis of the determined probability. For example, the possible future use is identified with the highest probability and the highest probability associated predictive operating parameters are selected.
  • the controller 107 may include a processor or may be formed by a processor configured to adjust the selected predictive operating parameter.
  • the detection of the current use of the household appliance 100 by a user may be performed over a predetermined time interval or a predetermined time period.
  • the predetermined time interval is one day, three days, one week, two weeks, one month, two months, three months, six months, one year or two years.
  • data relating to the current use can be stored in a memory of the household appliance 100 or in an external data store, for example a cloud data store.
  • a usage of the household appliance 100 by the user can be predicted and / or a user-specific use or application of the household appliance 100 can be offered.
  • operating costs of the home appliance 100 may be reduced when the home appliance 100 is controlled such that certain operational functions are performed in a low-cost tariff period become. For example, a maintenance program or a compressor run time of a refrigeration device is shifted forward into a cost-effective tariff period.
  • an accuracy of the determination of the probability of the future use of the household appliance 100 can be increased by networking the household appliance 100 with another household appliance.
  • the further household appliance can be designed with a further detector for detecting a current use of the further household appliance by the user.
  • other data relating to use of a so-called smart home controller such as a heater controller, a shutter controller, or a lighting controller may be included in the determination of the likelihood of future use of the home appliance 100.
  • a predetermined current usage of the home appliance 100 may be pre-stored in a memory of the provisioning device 103.
  • the predetermined current usage is loaded from a cloud datastore into the memory of the deployment device 103.
  • the predetermined current use personal information of the user in a first device of the household appliance 100 and / or a regional different predetermined predetermined current use, which is determined for example by market research include.
  • the refrigeration device 200 comprises a housing 201, an interior 203, a refrigerator door 205, a compressor 207, a detector 101, a supply device 103, a processor 105 and a controller 107.
  • the refrigeration device 200 may include a refrigerant circuit with an evaporator, the compressor 207, a condenser and a throttle body include.
  • the evaporator may be formed as a heat exchanger, in which after expansion, the liquid refrigerant by heat absorption from the medium to be cooled, such as air in the interior 203 of the Refrigeration unit 200, is evaporated.
  • the compressor 207 may be a mechanically driven component that draws refrigerant vapor from the evaporator and expels at higher pressure to the condenser.
  • the condenser may be formed as a heat exchanger, in which after compression, the evaporated refrigerant is liquefied by heat emission to an outer cooling medium, such as the ambient air.
  • the throttle body may be an apparatus for continuously reducing the pressure by necking.
  • the refrigerant may be a fluid that is used for heat transfer in the refrigerant circuit and that absorbs heat at low temperature and lower pressure of the fluid and releases heat at higher temperature and pressure of the fluid, usually including changes in state of the fluid.
  • the detector 101 may be configured to detect an opening of the refrigerator door 205.
  • the detector 101 comprises a switching element which is opened when the refrigerator door 205 is open and closed when the refrigerator door 205 is closed.
  • a time of opening of the refrigerator door 205 can be detected.
  • a probability for a time of a future opening of the refrigerator door 205 by a user can be determined by means of a probability probabilistic model, for example based on the Bayes rule. Based on the determined probabilities, the most likely time of future opening of the refrigerator door 205 may be determined and an associated predictive operating parameter determined.
  • the associated predictive operating parameter may be a compressor speed of the compressor 207 or a time for turning on or off the compressor 207.
  • a temperature of the interior 203 of the refrigeration device 200 can be regulated on the basis of the heat exchange associated with the future opening of the refrigerator door 205 with an environment of the refrigeration device 200.
  • the setting of the selected predictive operating parameter may go unnoticed by the user. For example, the user does not notice a slight increase in the compressor speed of the compressor 207 or the switching on of the compressor 207, since these operations can also occur when the refrigeration appliance 200 is operated without the use of the refrigeration appliance 200 by the user.
  • the refrigeration device 200 may be designed as a no-frost refrigeration device.
  • the refrigeration device 200 may comprise a defrosting device.
  • a time for a defrost can be determined. This can ensure that the defrost does not fall into a phase of intensive use of the refrigeration device 200. If the defrosting would fall into a phase of intensive use of the refrigeration device 200, the operating noise of the refrigeration device 200 or of the compressor 207 could thereby be increased, as a larger amount of heat is dissipated.
  • the refrigeration device 200 is networked with another household appliance, such as a television or a radio. Detecting the use of the other household appliance, the defrosting can be performed at a time in which the user is not disturbed by operating noise, such as cracking noises during defrosting.
  • the defrost time is set to a time when the user is not watching TV or listening to the radio.
  • the defrost time is set to a time when the user is away from home or not asleep.
  • 3 shows a schematic view of a laundry care device 300 with a controllable operation according to an embodiment.
  • the laundry care device 300 comprises a display element 301, a plurality of operating elements 303 and a laundry care device door 305 with a door handle 307.
  • the user can use the laundry care device 300 by means of the plurality of operating elements 303 and the display element 301.
  • a washing program or a parameter of a washing program such as a washing temperature
  • the selected one Washing program or the selected parameter of the washing program is displayed to the user by means of the display element 301.
  • the selected washing program or the selected parameter of the washing program as well as the date and time of the selection can be detected.
  • the detector 101 is integrated in a control board, by means of which an actuation of the plurality of operating elements 303 is detected and the display element 301 is controlled.
  • a likelihood for a future wash program or parameter of a wash program may be determined and / or pre-set.
  • the user selects a washing program or a parameter of a washing program several times on certain days of the week and / or times. From this recorded usage, a probability can be determined on which days of the week and / or times the washing program or the parameter of the washing program is selected again.
  • the washing program or the parameter of the washing program may be preset on the basis of the determined probability, so that the user is facilitated future use of the laundry care device 300.
  • the default setting can also be displayed by means of the display element 301.
  • repeated selection of a wash program or parameter of a wash program may be caused by an event such as sports exercised by the user or bedding performed by the user.
  • 4 shows a schematic view of a dishwasher 400 with a controllable operation according to an embodiment.
  • the dishwasher 400 comprises a display element 401, a plurality of operating elements 403 and a dishwasher door 405 with a door handle 407.
  • the user can use the dishwasher 400 by means of the plurality of operating elements 403 and the display element 401.
  • a washing program or a parameter of a washing program such as a water temperature, is selected and the selected washing program or selected parameters of the washing program is displayed to the user by means of the display element 401.
  • the selected wash program or the selected parameter of the wash program and the date and time of the selection can be detected.
  • the detector 101 is integrated in a control board, by means of which an actuation of the plurality of operating elements 403 is detected and the display element 401 is controlled.
  • a probability for a future wash program or parameter of a wash program may be determined and / or preset. For example, the user selects several times a wash program or a parameter of a wash program on certain days of the week and / or times. From this recorded use, a probability can be determined on which days of the week and / or times the wash program or the parameter of the wash program can be selected again.
  • the rinse program or the program of the rinse program may be preset based on the determined likelihood, so that the future use of the dishwasher 400 is facilitated to the user.
  • the default can also be displayed by means of the display element 401.
  • 5 shows a schematic view of a coffee machine 500 with a controllable operation according to an embodiment.
  • the coffee machine 500 which is designed as a coffee machine, comprises a plurality of operating elements 501, a display element 503, an outlet 505 for dispensing coffee and a drip tray 507 for catching liquid drops from the outlet 505.
  • the user can use the coffee machine 500 by means of the plurality of operating elements 501 and the display element 503. For example, a type of coffee, a coffee strength or a coffee temperature is selected by the user by means of the plurality of operating elements 501 and the selection is displayed by means of the display element 503.
  • the selection and date and time of the selection can be detected.
  • the detector 101 is in one Integrated control board, by means of which an actuation of the plurality of operating elements 501 detected and the display element 503 is controlled.
  • a likelihood of future use of the coffee maker 500 may be determined. For example, based on the determined probability, a coffee type, a coffee strength or a coffee temperature is preset to facilitate the user's use of the coffee machine.
  • the presetting can also be displayed by means of the display element 503, for example in the form of a selection in a menu displayed by means of the display element 503 for using the coffee machine 500. According to one embodiment, such a menu can be adapted to a quick selection of coffee or a product with few Interactions or instructions of the user.
  • the user may make another selection via the menu if the default selection does not correspond to the product desired by the user.
  • FIG. 6 shows a schematic diagram of a method 600 for the controllable operation of a domestic appliance 100.
  • the method comprises the method steps 601 to 609.
  • the method 600 for controllably operating a household appliance 100 may comprise the following method steps: detecting 601 a current use of the household appliance 100 by a user; Providing 603 a likelihood profile, the likelihood profile indicating probabilities of future uses of the home appliance 100 in response to current usage of the home appliance 100, wherein the probabilities of future uses are associated with predictive operating parameters for the controllable operation of the home appliance 100; Determining 605 a probability of future use of the home appliance 100 based on a probability profile and the current usage of the home appliance 100; Selecting 607 a predictive operating parameter which is the determined one Probability is assigned; and adjusting 609 the selected predictive operating parameter to control the home appliance 100.
  • the detection 601 of the current use can be performed by the above-described detector 101. Furthermore, the provision 603 of the probability profile can be carried out by means of the above-described provision device 103.
  • the determination 605 of the probability and the selection 607 of the predictive operating parameter may also be performed by means of the processor 105 described above. Further, the setting 609 of the predictive operating parameter may be performed by the controller 105 described above.
  • the method 600 may also be carried out by means of the household appliance 100 depicted in FIG. 1.

Landscapes

  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • General Engineering & Computer Science (AREA)
  • Selective Calling Equipment (AREA)
  • Control Of Washing Machine And Dryer (AREA)
  • Devices That Are Associated With Refrigeration Equipment (AREA)

Abstract

L'invention concerne un appareil ménager (100) à fonctionnement contrôlable, comprenant: un détecteur (101), pour la détection d'une utilisation actuelle de l'appareil ménager (100) par un utilisateur; un dispositif de mise à disposition (103) pour la fourniture d'un profil de probabilité, le profil de probabilité fournissant des probabilités d'utilisations futures de l'appareil ménager (100), en fonction des utilisations réelles de l'appareil ménager (100), des paramètres de fonctionnement prédictifs, pour le fonctionnement contrôlable de l'appareil ménager (100) étant associés aux probabilités d'utilisations futures; un processeur (105), qui est configuré de manière à déterminer une probabilité pour une utilisation future de l'appareil ménager (100), sur la base d'un profil de probabilité et de l'utilisation réelle de l'appareil ménager (100), et à sélectionner un paramètre de fonctionnement prédictif, qui est associé à la probabilité déterminée; et une commande (107) pour le réglage du paramètre de fonctionnement prédictif sélectionné, pour la commande de l'appareil ménager (100).
PCT/EP2015/061062 2014-06-11 2015-05-20 Appareil ménager à fonctionnement statistiquement contrôlable WO2015189013A1 (fr)

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DE102014211094.7A DE102014211094B4 (de) 2014-06-11 2014-06-11 Haushaltsgerät mit einem statistisch steuerbaren Betrieb und Verfahren zum steuerbaren Betreiben eines Haushaltsgerätes

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CN111324583A (zh) * 2018-12-17 2020-06-23 中国移动通信集团广西有限公司 一种业务日志的分类方法及装置
EP3718445A1 (fr) * 2019-04-02 2020-10-07 BSH Hausgeräte GmbH Distributeur automatique de boissons
WO2023159821A1 (fr) * 2022-02-23 2023-08-31 青岛海尔科技有限公司 Procédé et dispositif de détermination de comportement opérationnel, support d'enregistrement et dispositif électronique

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DE102017217585A1 (de) 2017-10-04 2019-04-04 BSH Hausgeräte GmbH Verfahren zum Betreiben eines Haushaltsgeräts und Haushaltsgerät
CN111324583A (zh) * 2018-12-17 2020-06-23 中国移动通信集团广西有限公司 一种业务日志的分类方法及装置
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EP3718445A1 (fr) * 2019-04-02 2020-10-07 BSH Hausgeräte GmbH Distributeur automatique de boissons
WO2023159821A1 (fr) * 2022-02-23 2023-08-31 青岛海尔科技有限公司 Procédé et dispositif de détermination de comportement opérationnel, support d'enregistrement et dispositif électronique

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