DE102014211094B4 - Household appliance with a statistically controllable operation and method for controllably operating a household appliance - Google Patents

Abstract

The present invention relates to a home appliance (100) having a controllable operation, comprising: a detector (101) for detecting a current use of the household appliance (100) by a user; 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 usage of the home appliance (100), assigning probabilities of future usage to predictive operating parameters for the controllable operation of the household appliance (100) are; a processor (105) configured to determine a likelihood for 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 is; and a controller (107) for setting the selected predictive operating parameter to control the home appliance (100).

Description

The present invention relates to a household appliance with a controllable operation.

The publication DE 10 2006 060 379 A1 shows an operating device and a method for operating a program-controlled household appliance.

The publication DE 195 05 675 A1 shows a control system for controlling household appliances.

The publication WO 2012/028461 A1 shows a method for processing data of a household appliance.

The translation DE 697 36 552 T2 the European patent specification EP 0 912 932 B1 shows an intelligent user support function.

Various embodiments of controllers that use probability profiles are characterized by DE 10 2012 108 065 A1 and WO 2003/079182 A2 known. Thus, according to DE 10 2012 108 065 A1, it is known that energy consumers, ie household appliances, are controlled on the basis of a consumption profile, in particular that space heaters, roller shutter and lighting controls, air conditioning systems are individually controlled according to the needs of the user.

In citation WO 2003/079182 A2 Music titles are automatically selected according to the generated user profile of a user, whereby the user profile maps the probabilities for selecting a title.

A household appliance, such as a coffee machine, often includes a detector for detecting a use of the household appliance by a user. For example, a coffee machine often includes a counter for counting coffee purchases by one or a plurality of users. Furthermore, 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. For example, 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. However, this may result in the control of the operation of the household appliance interfering with or preventing a possible future use of the household appliance by a user. This can be perceived as uncomfortable. Thus, for example, during a cleaning cycle of a coffee machine often a simultaneous receipt of a coffee by a user is not possible.

It is the object underlying the invention to provide a household appliance, in which a controlling an operation of the household appliance can be adapted to a use of the household appliance by a user.

This object is achieved by articles having the features according to the independent claims. Advantageous embodiments of the invention are the subject of the figures, the description and the dependent claims.

According to one aspect of the invention, 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; provision means for providing a likelihood profile, the likelihood profile indicating probabilities of future uses of the appliance as a function of current uses of the appliance, the probabilities of future uses being associated with predictive operating parameters for the controllable operation of the 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. As a result, for example, the technical advantage is achieved that the operation of the household appliance can be efficiently adapted to the use of the household appliance.

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 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. Furthermore, the detector may comprise an actuating element, by means of which the household appliance can be used by a user.

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. Further, 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. 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. For example, the predictive operating parameter may include a time for turning on a compressor or a speed of a compressor. If, for example, 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.

In an advantageous embodiment, 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. As a result, for example, the technical advantage is achieved that the probability profile can be provided efficiently.

The communication interface may include a wired and / or a wireless communication interface. For example, 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.

The cloud data store may be a network data store connected to the home appliance via the Internet.

In a further advantageous embodiment, the probabilities of the probability profile are digital probability values. As a result, for example, the technical advantage is achieved that the probability profile can be stored efficiently.

The processor is configured to select the largest probability among a plurality of probabilities of the probability profile for the detected current usage to determine the probability of future use of the home appliance. Thereby, for example, the technical advantage is achieved that the predictive operating parameters associated with the probabilities can be efficiently selected.

In a further advantageous embodiment, 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. As a result, for example, the technical advantage is achieved that a time-dependent control of the household appliance can be made possible.

In a further advantageous embodiment, 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. As a result, for example, the technical advantage is achieved that the operation of the household appliance can be adapted to the user, the user group or the household appliance.

The current use of the household appliance is a consequence of uses of the household appliance within a predetermined time interval. As a result, for example, the technical advantage is achieved that the current use of the household appliance can be detected efficiently.

For example, 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.

In a further advantageous embodiment, the processor is designed to update the probability profile with the detected current use. As a result, for example, 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.

For example, the processor is configured to update the likelihood profile based on the Bayes or Bayes rule set.

In a further advantageous embodiment, the probabilities of future uses are conditional probabilities for the occurrence of future use under the condition of the occurrence of the current use. Thereby, for example, the technical advantage is achieved that an efficient probabilistic probability model can be used to determine the probability.

In a further advantageous embodiment, 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. As a result, the technical advantage is achieved, for example, that a use of the household appliance can be facilitated.

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 can be displayed, which the user can start to use the household appliance.

In a further advantageous embodiment, 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 configured to open 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 setting of an operating parameter by the user, in particular a temperature or a process duration or a sequence program of the Domestic appliance, a switching on of 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 detect. As a result, 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.

In a further advantageous embodiment, 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. As a result, for example, the technical advantage achieved that the number of information for determining the probability can be increased.

The communication interface may include a wired and / or a wireless communication interface. For example, 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.

In a further advantageous embodiment, 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. As a result, for example, the technical advantage is achieved that the selected predictive operating parameter can be provided in an efficient manner to another household appliance.

In a further advantageous embodiment, the household appliance is in particular a no-frost refrigerator. As a result, for example, the technical advantage is achieved that an operation of a conventional household appliance based on the use of the household appliance can be controlled.

In a further advantageous embodiment, 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. Thereby, for example, the technical advantage is achieved that a user of the household appliance, a use or operation of the household appliance can be facilitated by presetting the selected predictive operating parameter.

In a further advantageous embodiment, the controller is configured to set a temperature in an interior of the household appliance as a function of the selected predictive operating parameter. As a result, for example, the technical advantage is achieved that energy efficiency of the household appliance can be increased by optimizing the temperature control in the interior of the household appliance.

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. For example, 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. By probabilistic prediction of a possible future opening of the refrigerator door and thus a possible future heat exchange with an environment of the refrigerator, a control of the temperature in the interior of the refrigerator can be optimized and thereby the energy efficiency of the refrigerator can be increased.

In a further advantageous embodiment, 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. Thereby, the advantage is achieved that an energy efficiency of the refrigerant circuit can be increased.

For example, we regulated a temperature in an interior of the household appliance by means of the compressor.

The controller is configured to determine a defrost time in dependence on the selected predictive operating parameter and to initiate a defrost procedure at the determined defrost time, in particular by reducing a compressor speed of a compressor of the refrigeration appliance or by switching on a defrost heater of the refrigeration appliance. As a result, for example, 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.

In a further advantageous embodiment, the controller is designed to determine a time for executing an operating program, in particular a maintenance program, of the domestic appliance as a function of the selected predictive operating parameter and an energy tariff scheme, and to execute the operating program at the specific time. As a result, for example, the technical advantage is achieved that the operation of the household appliance can be adapted to the energy tariff scheme to reduce the operating costs of the household appliance.

According to a further aspect of the invention, 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 to control the home appliance. As a result, for example, 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. Further, 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. For example, the predictive operating parameter may include a time for turning on a compressor or a speed of a compressor.

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.

Embodiments of the invention are illustrated in the drawing / drawings and will be described in more detail below.

Show it:

1 a schematic representation of a household appliance with a controllable operation;

2 a schematic cross-sectional view of a refrigerator with a controllable operation according to an embodiment;

3 a schematic view of a laundry care device with a controllable operation outside the claims;

4 a schematic view of a dishwasher with a controllable operation outside the claims;

5 a schematic view of a coffee machine with a controllable operation outside the claims; and

6 a schematic diagram of a method for controllably operating a household appliance.

1 shows a schematic representation of a household appliance 100 with a controllable operation. The household appliance 100 includes a detector 101 , a provisioning device 103 , a processor 105 and a controller 107 ,

The household appliance 100 with a controllable operation may be formed with: the detector 101 for detecting a current use of the household appliance 100 by a user; the provisioning device 103 for providing a probability profile, the probability profile being probabilities of future uses of the household appliance 100 depending on current uses of the household appliance 100 indicating the probabilities of future uses predictive operating parameters for the controllable operation of the household appliance 100 assigned; the processor 105 , which is formed, a probability for future use of the household appliance 100 on the basis of a probability profile and the current use of the household appliance 100 and to select a predictive operating parameter associated with the determined probability; and the controller 107 for setting the selected predictive operating parameter to the home appliance 100 to control.

Under a household appliance 100 is understood 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, a cooker hood or a refrigerator, such. As a refrigerator, a freezer or a Kühlgefrierkombination. 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 author 101 may comprise a counter, by means of which a number of openings of a household appliance door of the household appliance 100 can be detected by a user. Furthermore, the detector 101 comprise an actuating element, by means of which the household appliance 100 can be used by a user. For example, the household appliance 100 designed as a coffee machine and the actuator comprises a button, by means of which a coffee can be obtained. Another example is the household appliance 100 designed as a laundry care device and the user can select and / or start a washing program by means of the actuating element.

The current use of the household appliance 100 may be a previous use or a sequence of previous uses of the household appliance 100 by a user or a plurality of users. Furthermore, the future uses of the household appliance 100 a plurality of possible future uses of the household 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.

Using the Bayes probabilistic approach rule, an a posteriori probability can be calculated according to the formula p (x | y) = p (y | x) p (x) / p (x) where the probability p (x | y) indicates an a posteriori probability that the event x occurs on the condition that the result y has occurred. Furthermore, the probability p (y | x) designates a world model or a class likelihood in the form of a probability that the event y occurs on the condition that the event x has occurred. The probability p (x) further designates an a priori probability of the event x and the probability p (y) further designates an a priori probability of the event y or an evidence or edge probability associated with the event y. The Bayes rule can be derived from the formula p (x, y) = p (x | y) .p (y) = p (y | x) .p (x) where p (x, y) denotes the probability that events x and y will occur.

The provisioning device 103 may include a memory in which the probability profile may be pre-stored. The Probability profile may be predetermined or in the course of the operation of the household appliance 100 determined and / or updated. For example, the probability profile at a first device of the household appliance 100 or the probability profile is based on regional data determined by means of market research for use of the household appliance 100 , For determining or updating the probability profile, the probabilities associated with the plurality of possible future uses may be responsive to detecting a usage of the home appliance 100 be redetermined, for example, according to the theorem of Bayes or the Bayes Rule. Furthermore, the probability profile can be loadable into the memory.

The predictive operating parameter may be an operating parameter by means of which a possible future use of the household appliance 100 facilitates and / or based on the operation of the household appliance 100 can be optimized. For example, the household appliance 100 formed as a laundry care device and the predictive operating parameters includes a wash program, which can be preset. Is this household appliance 100 Furthermore, for example, designed as a refrigeration device, the predictive operating parameter may include a time for switching on a compressor or a speed of a compressor. Is this household appliance 100 Further, for example, designed as a coffee machine, the predictive operating parameters may 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 control 107 may include a processor or may be formed by a processor configured to adjust the selected predictive operating parameter.

According to one embodiment, the detection of the current use of the household appliance 100 be performed by a user over a predetermined time interval or a predetermined time period. For example, 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.

According to another embodiment, data relating to the current usage may be stored in a memory of the home appliance 100 or stored in an external data store, such as a cloud datastore.

According to a further embodiment, by means of the stored data and using a probabilistic model, use of the household appliance 100 be predicted by the user and / or a user-specific use or application of the household appliance 100 Tobe offered.

According to a further embodiment, when using a time-variable energy tariff scheme, such as a smart grid tariff, operating costs of the household appliance 100 be reduced when the household appliance 100 is controlled so that certain operating functions are performed in a low-cost tariff period. For example, a maintenance program or a compressor run time of a refrigeration device is shifted forward into a cost-effective tariff period.

According to another embodiment, an accuracy of the determination of the probability of future use of the household appliance 100 by networking the household appliance 100 be increased with another household appliance. In this case, the further household appliance can be designed with a further detector for detecting a current use of the further household appliance by the user. Further, further data regarding 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 incorporated.

According to another embodiment, since probabilistic models often require some learning phase, such as the predetermined time interval, in order to make reliable probability statements, a predetermined current usage of the home appliance may be used 100 in a memory of the delivery device 103 be pre-stored. For example, the predetermined current usage of a cloud datastore becomes the memory of the deployment device 103 loaded. Here, the predetermined current use personal information of the user in a first device of the household appliance 100 and / or a regionally different predetermined current use, which is determined for example by a market research include.

2 shows a schematic cross-sectional view of a refrigerator 200 with a controllable operation according to an embodiment. The refrigeration device 200 includes a housing 201 , one inner space 203 , a refrigerator door 205 , a compressor 207 , a writer 101 , a provisioning device 103 , a processor 105 and a controller 107 ,

The refrigeration device 200 Can 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 device 200 , is evaporated. Furthermore, the compressor 207 be a mechanically driven component that sucks refrigerant vapor from the evaporator and ejects 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. Further, 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 author 101 can for detecting an opening of the refrigerator door 205 be educated. For example, the inventor includes 101 a switching element which, when the refrigerator door is open 205 opened and with the refrigerator door closed 205 closed is. Furthermore, a time of opening of the refrigerator door 205 be recorded. On the basis of the detected openings of the refrigerator door 205 can by means of a Probabilistic Probability Model, for example based on the Bayes Rule, a probability for a time of future opening of the refrigerator door 205 determined by a user. Based on the determined probabilities, the most likely time of a future opening of the refrigerator door 205 are determined and an associated predictive operating parameters are determined. For example, a through the future opening of the refrigerator door 205 possibly caused heat exchange with an environment of the refrigerator 200 in the control of a temperature control in the interior 203 of the refrigeration device 200 considered. 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 be. This can cause operating noise of the compressor 207 or the refrigeration device 200 be reduced. Furthermore, a temperature of the interior 203 of the refrigeration device 200 on the basis of with the future opening of the refrigerator door 205 connected heat exchange with an environment of the refrigerator 200 be managed.

According to one embodiment, the setting of the selected predictive operating parameter may go unnoticed by the user. For example, the user notices a slight increase in the compressor speed of the compressor 207 or switching on the compressor 207 not, since these processes also in an operation of the refrigerator 200 without using the refrigerator 200 by the user.

According to a further embodiment, the refrigeration device 200 be designed as a no-frost refrigerator. Here, the refrigeration device 200 a defrosting device. On the basis of the openings of the refrigerator door 205 a time for a defrost can be determined. This can ensure that the defrosting is not in a phase of intensive use of the refrigerator 200 falls. Would defrosting into a phase of intensive use of the refrigerator 200 fall, thereby the operating noise of the refrigerator 200 or of the compressor 207 be increased because a larger amount of heat is dissipated.

According to a further embodiment, the refrigeration device 200 networked with another household appliance, such as a TV 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. For example, the defrost time is set to a time when the user is not watching TV or listening to the radio. As another example, 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 includes a display element 301 , a plurality of controls 303 and a laundry care appliance 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 to use. For example, by means of the plurality of controls 303 a wash program or a parameter of a wash program, such as a wash temperature, selected and the selected wash program or the selected parameter of the wash program becomes the user by means of the display element 301 displayed.

By means of an unillustrated reader 101 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. For example, the acquirer 101 integrated in a control board, by means of which an actuation of the plurality of operating elements 303 captured and the display element 301 is controlled. On the basis of the recorded use of the laundry care device 300 For example, a probability for a future wash program or a future parameter of a wash program may be determined and / or pre-set. For example, 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 a future use of the laundry care device 300 is relieved. The default can also by means of the display element 301 are displayed.

In accordance with one embodiment, 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 includes a display element 401 , a plurality of controls 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 to use. For example, by means of the plurality of controls 403 a wash program or a parameter of a wash program, such as a water temperature, selected and the selected wash program or the selected parameter of the wash program is the user by means of the display element 401 displayed.

By means of an unillustrated reader 101 The selected wash program or the selected parameter of the wash program as well as the date and time of the selection can be detected. For example, the acquirer 101 integrated in a control board, by means of which an actuation of the plurality of operating elements 403 captured and the display element 401 is controlled. On the basis of the detected use of the dishwasher 400 For example, a probability for a future wash program or a future parameter of a wash program can 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 wash program or the program of the wash program may be preset on the basis of the determined probability, allowing the user a future use of the dishwasher 400 is relieved. The default can also by means of the display element 401 are displayed.

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 controls 501 , an indicator 503 , an outlet 505 for dispensing coffee and a drip tray 507 for catching drops of liquid from the outlet 505 ,

The user can use the coffee maker 500 by means of the plurality of operating elements 501 and the display element 503 to use. For example, by the user by means of the plurality of controls 501 a type of coffee, a coffee strength or a coffee temperature selected and the selection by means of the display element 503 displayed.

By means of an unillustrated reader 101 the selection as well as the date and time of the selection can be recorded. For example, the acquirer 101 integrated in a control board, by means of which an actuation of the plurality of operating elements 501 captured and the display element 503 is controlled. On the basis of the recorded use of the coffee machine 500 may be a probability for future use of the coffee maker 500 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 default can also by means of the display element 503 be displayed, for example in the form of a selection in one by means of the display element 503 displayed menu for using the coffee machine 500 ,

According to one embodiment, such an adjustment of a menu may result in a quick selection of coffee or a product with few interactions or instructions of the user.

According to a further embodiment, the user may make another selection via the menu if the default selection does not correspond to the product desired by the user.

6 shows a schematic diagram of a method 600 for controllably operating a household appliance 100 , The method comprises the method steps 601 to 609 ,

The procedure 600 for controllably operating a household appliance 100 may include the following steps: Detect 601 a current use of the household appliance 100 by a user; Provide 603 a probability profile, the probability profile probabilities of future uses of the household appliance 100 depending on current uses of the household appliance 100 indicating the probabilities of future uses predictive operating parameters for the controllable operation of the household appliance 100 assigned; Determine 605 a probability of future use of the household appliance 100 on the basis of a probability profile and the current use of the household appliance 100 ; Choose 607 a predictive operating parameter associated with the determined probability; and adjusting 609 the selected predictive operating parameter for controlling the household appliance 100 ,

The capture 601 the current use can by means of the above-described author 101 be performed. Furthermore, the providing 603 the probability profile by means of the above-described provision device 103 be performed. The determining 605 the probability and the selection 607 The predictive operating parameter may also be determined by means of the processor described above 105 be performed. Furthermore, the setting 609 the predictive operating parameter by means of the control described above 105 be performed. The procedure 600 can also by means of in the 1 pictured household appliance 100 be executed.

All features explained and shown in connection with individual embodiments of the invention may be provided in different combinations in the article according to the invention, in order to simultaneously realize their advantageous effects.

The scope of the present invention is given by the claims and is not limited by the features illustrated in the specification or shown in the figures.

LIST OF REFERENCE NUMBERS

100

household appliance

101

Entered

103

Providing device

105

processor

107

control

200

The refrigerator

201

casing

203

inner space

205

Refrigerator door

207

compressor

300

Laundry care device

301

display element

303

operating element

305

Washing machines door

307

door handle

400

dishwasher

401

display element

403

operating element

405

Dishwasher door

407

door handle

500

coffee machine

501

operating element

503

display element

505

outlet

507

drip tray

600

method

601

To capture

603

Provide

605

Determine

607

Choose

609

To adjust

Claims (20)

Household appliance ( 100 ) with a controllable operation, comprising: a detector ( 101 ) for detecting a current use of the household appliance ( 100 by a user; a provisioning device ( 103 ) for providing a probability profile, wherein the probability profile probabilities of future uses of the household appliance ( 100 ) depending on current uses of the household appliance ( 100 ), wherein the probabilities of future uses predictive operating parameters for the controllable operation of the household appliance ( 100 ) assigned; a processor ( 105 ), which is designed, a probability for future use of the household appliance ( 100 ) on the basis of a probability profile and the current use of the household appliance ( 100 ) and around select a predictive operating parameter associated with the determined probability; and a controller ( 107 ) for setting the selected predictive operating parameter to the domestic appliance ( 100 ), wherein the processor ( 105 ) is adapted 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 ( 100 ), the current use of the household appliance ( 100 ) a sequence of uses of the household appliance ( 100 ) within a predetermined time interval, the detector ( 101 ), 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, switching on the household appliance ( 100 ) by the user, or switching off the household appliance ( 100 ) by the user as the current use of the household appliance ( 100 ), the household appliance ( 100 ) a refrigerator ( 200 ), and that the controller ( 107 ) is adapted to determine a defrost time in dependence on the selected predictive operating parameter and to initiate a defrost procedure at the determined defrost time. Household appliance ( 100 ) according to claim 1, characterized in that the provision device ( 103 ) has a local memory for providing a probability profile or that the provision device ( 103 ) has a communication interface for retrieving the likelihood profile over a communication network from a network data store. Household appliance ( 100 ) according to claim 1 or 2, characterized in that the probabilities of the probability profile are digital probability values. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the probabilities of the probability profile are further linked to times of the current uses, and that the processor ( 105 ) is adapted to detect the time of the current use and to select the highest probability for the detected time from a plurality of probabilities of the probability profile for the detected current use to determine the probability for future use of the household appliance ( 100 ). Household appliance ( 100 ) according to one of the preceding claims, characterized in that the probability profile is assigned to the user, or that the probability profile is assigned to a user group, or that the probability profile is assigned to the household appliance ( 100 ) assigned. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the processor ( 105 ) is adapted to update the probability profile with the detected current use. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the probabilities of future uses are conditional probabilities for the occurrence of a future use under the condition of the occurrence of the current use. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the domestic appliance ( 100 ) a display element ( 301 . 401 . 503 ) for displaying manually selectable operating parameters of the household appliance ( 100 ) and that the controller ( 107 ) is formed, manually selectable operating parameters of the display element ( 301 . 401 . 503 ) depending on the selected predictive operating parameter. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the controller ( 107 ), the household appliance ( 100 ) based on the selected predictive operating parameter. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the domestic appliance ( 100 ) 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 ( 105 ), the likelihood of future use of the household appliance ( 100 ) on the basis of the probability profile, the current use of the household appliance ( 100 ) as well as the received information about the further current use of the other household appliance to determine. Household appliance ( 100 ) according to claim 10, characterized in that the communication interface is adapted to transmit the selected predictive operating parameters via a communication network to a network data memory. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the controller ( 107 ) is adapted to predictively set the selected predictive operating parameter independently of an occurrence of future use. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the controller ( 107 ), a temperature in an interior space ( 203 ) of the household appliance ( 100 ) depending on the selected predictive operating parameter. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the domestic appliance ( 100 ) a refrigerant circuit with a compressor ( 207 ), wherein the controller ( 107 ) is configured, depending on the selected predictive operating parameter, the compressor ( 207 ) to control. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the controller ( 107 ), a time for executing an operating program of the household appliance ( 100 ) depending on the selected predictive operating parameter and energy tariff scheme, and executing the operating program at the specified time. Household appliance ( 100 ) according to one of the preceding claims, characterized in that the manual setting of an operating parameter by the user, the manual setting of a temperature or a process duration or a sequence program of the household appliance ( 100 ). Household appliance ( 100 ) according to one of the preceding claims, characterized in that the initiation of the defrosting procedure at the determined defrosting time by reducing a compressor speed of a compressor ( 207 ) of the refrigeration device ( 200 ) or by switching on a defrost heating of the refrigeration device ( 200 ) he follows. Procedure ( 600 ) for the controllable operation of a household appliance ( 100 ), with: Capture ( 601 ) an actual use of the household appliance ( 100 by a user; Provide ( 603 ) of a probability profile, wherein the probability profile probabilities of future uses of the household appliance ( 100 ) depending on current uses of the household appliance ( 100 ), wherein the probabilities of future uses predictive operating parameters for the controllable operation of the household appliance ( 100 ) assigned; Determine ( 605 ) a probability of future use of the household appliance ( 100 ) on the basis of a probability profile and the current use of the household appliance ( 100 ); Choose ( 607 ) a predictive operating parameter associated with the determined probability; and setting ( 609 ) of the selected predictive operating parameter for controlling the household appliance ( 100 ), wherein the greatest probability is selected 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 ( 100 ), the current use of the household appliance ( 100 ) a sequence of uses of the household appliance ( 100 within a predetermined time interval, the step of detecting comprising opening a home 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, switching on the household appliance ( 100 ) by the user, or switching off the household appliance ( 100 ) by the user as the current use of the household appliance ( 100 ), the household appliance ( 100 ) a refrigerator ( 200 ), wherein a defrosting time is determined in dependence on the selected predictive operating parameter and a defrosting procedure is initiated at the determined defrosting time. Procedure ( 600 ) according to claim 18, characterized in that the manual setting of an operating parameter by the user, the manual setting of a temperature or a process duration or a sequence program of the household appliance ( 100 ). Procedure ( 600 ) according to claim 18 or 19, characterized in that the initiation of the defrosting procedure at the determined defrosting time, by reducing a compressor speed of a compressor ( 207 ) of the refrigeration device ( 200 ) or by switching on a defrost heating of the refrigeration device ( 200 ) he follows,

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