BE1029671B1 - Method and control unit for operating a cleaning device and cleaning device - Google Patents

Abstract

The invention relates to a method for operating a cleaning device (100) with a washing compartment (105), a washing compartment door (110), a receiving device (115) for receiving items to be cleaned and/or a sensor device (120), the method including a step of reading in of sensor data of the sensor device (120), wherein the sensor data comprises a door signal, which represents a door parameter of the washing chamber door (110) of the cleaning device (100), at least one oscillation signal, which represents a loading process, and/or an image signal, which comprises a pictorial representation of the washing chamber (105). In addition, a step of evaluating the sensor data using reference data in order to obtain an evaluation result that represents a current loading status of the receiving device (115) with items to be cleaned, and a step of providing a control signal using the evaluation result, the control signal being designed to to control a device function of the cleaning device (100).

Description

Description

Method and control unit for operating a cleaning device and cleaning device

The invention relates to a method and a control unit for operating a

cleaning device and a cleaning device.

WO 20 20002395 describes detecting or monitoring a loading and unloading of

Baskets of a rinsing device exclusively with acceleration sensors.

Against this background, the present invention provides the task of an improved

To create a method and an improved control unit for operating a cleaning device. 11 According to the invention, this object is achieved by a method and a control unit for

Operating a cleaning device and a cleaning device with the characteristics of

main claims resolved. Advantageous refinements and developments of the invention result from the following dependent claims.

The achievable with the invention consist of the door opening and ı5 loading or loading behavior of an operator reliable information about the

to generate the loading status of the basket elements in order to make a start recommendation,

to be able to derive program proposals and program modifications. Elements and methods of digitization are advantageously used for this purpose.

There is a method for operating a cleaning device with a washing chamber, a

Washing room door, a receiving device for receiving items to be cleaned and a

Presented sensor device. The method includes a step of reading in

Sensor data of a sensor device, wherein the sensor data is a door signal, the one

Door parameters of a washing room door of the cleaning device represents at least one

Oscillating signal representing a loading process, and additionally or alternatively

Include image signal representing a pictorial representation of the wash cabinet. The

Method includes a step of evaluating the sensor data using

Reference data to obtain an evaluation result that represents a current loading status of the receiving device with items to be cleaned. In a providing step, a control signal is provided using the evaluation result, the control signal being designed to control a device function of the cleaning device

The method can be carried out in a dishwasher, for example. The washing compartment can also be referred to, for example, as an interior space or receiving space in which items to be cleaned, such as crockery, cutlery, glasses and additionally or alternatively pots, can be cleaned. The washing compartment door can be arranged, for example, on the front of a dishwasher, so that a user can advantageously gain easier access to the washing compartment for loading and unloading the cleaning appliance.

The receiving device can, for example, comprise at least one basket in which the

Items to be cleaned can be placed. The sensor device can, for example, a

Include a plurality of different sensors, which are preferably arranged in the washing compartment or can be directed at least in the direction of the washing compartment. The

The loading process represents an action performed by the user, in which he places a cup in the receiving device, for example. The current

Load status of the recording device includes, for example, a degree of filling

Recording device and can additionally or alternatively display, for example, which ı5 basket of the recording device is filled with what type of cleaning items.

Advantageously, the cleaning device can control a device function tailored to the loading status or, for example, select a suggested program. Furthermore, the cleaning device can advantageously set a time for a program start.

Advantageously, the cleaning device device functions taking into account a

Controlling user behavior.

According to one embodiment, in the step of providing the drive signal under

be provided using an algorithm of an artificial intelligence. The artificial intelligence can advantageously learn a usage behavior of the user, so that the cleaning device is advantageously individually adapted to the respective user

can issue program suggestions. Furthermore, the artificial intelligence can advantageously recognize when the cleaning device is fully loaded and can automatically start a cleaning process.

In the reading step, the door parameters can be read in

Door opening angle, a door opening duration and additionally or alternatively a period of time between door movements can represent, wherein in the step of evaluating the

Evaluation result using the door parameter can be obtained as sensor data, which can be associated with a predetermined type of cleaning items and additionally or alternatively a loaded state of the basket element of the recording device. The

Items to be cleaned can advantageously be crockery, cutlery or, for example

Be formed cooking utensils, such as pots or pans.

According to one embodiment, in the evaluation step, the evaluation result can be

Considering a correlation between the door opening angle and an extended basket element of the recording device are determined. This means that a specific door opening angle is assigned to a pulled-out basket element s, for example. Advantageously, an artificial intelligence of the cleaning device can, for example, at a door opening angle of approximately 90° to an extended

Close the basket element of the receiving device, which can be arranged, for example, in a floor area of the cleaning device and can therefore only be pulled out, for example, when the washing compartment door is fully open.

Furthermore, in the step of evaluating as sensor data at least two of the in the step of

Reading in read-in signals are evaluated. The signals read in are, for example, the door signal, the swing signal and the image signal. Advantageously, by evaluating at least two of the signals, the accuracy of the

Evaluation result can be improved. 11 According to one embodiment, pre-trained reference data can be read from a storage unit in the reading step. The reference data can also be referred to as basic data, for example, which can advantageously be expandable.

Furthermore, in the step of reading in, the reference data can be read in by means of a radio interface and additionally or alternatively by a source external to the cleaning device. The reference data can advantageously be obtained, for example, wirelessly, for example using a W-LAN connection, for example from a cloud, so that the reference data can advantageously be obtained as a current dataset.

In the step of reading in, at least one further vibration signal can be read in, which can represent a signal from a further vibration sensor. In doing so,

Step of evaluating the oscillating signal and the other oscillating signal are evaluated. For example, the vibration sensor can be in the form of an acceleration sensor and the other vibration sensor can be in the form of a microphone, so that the vibration signal can represent, for example, an acceleration signal and the other

Vibration signal can represent an audio signal, for example, or vice versa. Alternatively, both vibration sensors can be in the form of acceleration sensors.

According to one embodiment, the steps of the method can be performed repeatedly.

Furthermore, the method can include a step of storing the current load status at least as part of the reference data after the evaluation step in order to store a stored load status. In this case, the stored load status can be read in in a repeated step of reading in, wherein in a repeated step of evaluating the sensor data using the stored

Loading status can be evaluated in order to obtain the current evaluation result, which has an updated loading status of the recording device

cleaning goods represented. This can be done in a repeated step of providing

Control signal are provided using the updated evaluation result. Advantageously, the artificial intelligence of the cleaning device on this

be trained in a way that is adapted to the habits of a user for future cleaning processes.

The approach presented here also creates a control unit that is designed to

To carry out, control or implement steps of a variant of a method presented here in corresponding devices ı5. Also by this variant of the

Invention in the form of a device, the object underlying the invention can be solved quickly and efficiently.

The control unit can be designed to read input signals and

Using the input signals to determine and provide output signals. A

The input signal can represent, for example, a sensor signal that can be read in via an input interface of the control unit. An output signal can be a control signal or a

Represent data signal that can be provided at an output interface of the control unit. The control unit can be designed to take the output signals

to determine the use of a processing rule implemented in hardware or software. For example, the control unit can include a logic circuit, an integrated circuit or a software module for this purpose and can be implemented as a discrete component, for example, or be comprised by a discrete component.

A computer program product or computer program is also advantageous

Program code on a machine-readable carrier or storage medium such as a

Semiconductor memory, a hard disk memory or an optical memory can be stored. If the program product or program runs on a computer or

executed control unit, the program product or program for implementation,

Implementation and / or control of the steps of the method are used according to one of the embodiments described here.

Furthermore, a cleaning device for cleaning items to be cleaned is presented, which has a lockable washing compartment, a washing compartment door for closing the washing compartment, a

Pick-up device with a basket element and at least one parallel to the first

Basket element arranged further basket element, wherein the receiving device in the

Washing room is arranged, and having a sensor device which has a door sensor for

Detection of a door parameter of the washing compartment door, at least one vibration sensor arranged on the s receiving device and additionally or alternatively one

Having image acquisition device for acquiring the interior of the washing machine. Furthermore, that shows

Cleaning device on a control unit in an aforementioned variant.

The cleaning device can be designed as a household appliance, for example. Alternatively, the cleaning device is related to a commercial or professional

Device, for example a medical device such as a cleaning or

disinfection device, a small sterilizer, a large-capacity disinfector or a container

car wash can be used. The cleaning device, as presented here, is advantageously implemented as a commercially available dishwasher in order to clean items to be cleaned in your washing area. The receiving device comprises, for example, a plurality of basket elements, for example a lower basket, an upper basket and optionally one

cutlery basket. For example, the door sensor can be configured as a three-axis

Acceleration sensor be formed. Furthermore, the vibration sensor as a

Microphone or be formed as an acceleration sensor. The image capturing device can, for example, be in the form of a camera in order to capture images of the washing compartment.

The vibration sensor can be embodied as a microphone, for example, in order to record load-specific noises. The sensors of the sensor device can advantageously be arranged on the basket elements, on the washing chamber door and additionally or alternatively, for example, on a side wall of the cleaning device in order to advantageously record a large number of sensor data.

An embodiment of the invention is shown purely schematically in the drawings and is described in more detail below. It shows

Figure 1 is a schematic representation of a cleaning device according to a

embodiment;

Figure 2 is a schematic representation of an embodiment of a

cleaning equipment;

Figure 3 is a schematic representation of an embodiment of a

cleaning device with a pulled-out basket element;

Figure 4 is a schematic representation of an embodiment of a

cleaning device with a pulled-out basket element;

FIG. 5 shows an exemplary embodiment of a load-specific soundtrack recording for a cleaning appliance;

FIG. 6 shows a flow chart of a method according to an exemplary embodiment

operating a cleaning device; and

FIG. 7 shows a block diagram of a control unit according to an exemplary embodiment for a cleaning device. s Figure 1 shows a schematic representation of a cleaning device 100 according to a

example. The cleaning device 100 is available, for example, as a commercially available one

Dishwasher realized, which is designed to clean items to be cleaned. The

Goods to be cleaned are, for example, crockery, cutlery or, for example, as

Cooking utensils that are to be cleaned after food preparation, for example. For this purpose, the cleaning appliance 100 has a closable rinsing chamber 105 , a rinsing chamber door 110 designed to close the rinsing chamber 105 , a receiving device 115 arranged in the rinsing chamber 105 , and a sensor device 120 . Furthermore, the cleaning device 100 has a control unit 125, which is designed to a

Control method for operating the cleaning device 100 or perform. The 1 method is described in one of the following figures. According to this

Exemplary embodiment is the control unit 125 without loss of generality in FIG

Washroom door 110 arranged. The receiving device 115 has a basket element 130 and at least one further basket element 135 arranged parallel to the basket element 130 . According to this exemplary embodiment, the cleaning appliance 100 also has an optional third basket element 140 which is also arranged parallel to the basket element 130 and the further basket element 135 . The sensor device 120 has a

Door sensor 145 for detecting a door parameter of the washing compartment door 110, at least one vibration sensor 150 arranged on the receiving device 115 and/or one

Image acquisition device 155 for acquiring the washing compartment 105 . Here is the

Door sensor 145 implemented, for example, as a three-axis acceleration sensor. The

Vibration sensor 150 is designed, for example, to detect a loading action carried out by a user. The image capturing device 155 is implemented, for example, as a camera that captures the interior. The cleaning device 100 has at least one further vibration sensor 160 only optionally. The

Vibration sensor 150 and/or the at least one further vibration sensor 160 can be used, for example, as at least one acceleration sensor or as a microphone for

Recording of loading-specific noises. The vibration sensors 150, 160 are arranged on the receiving device 115, for example.

For example, the additional vibration sensors 160 can also be arranged on the side walls of the cleaning appliance 100 surrounding the washing compartment 105, as is shown, for example, in

Figure 4 is illustrated.

According to this embodiment, the cleaning device 100 also has a

Lighting device 165, which is designed to illuminate the washing compartment 105 and thus support a function of the image acquisition device 155. The

Lighting device 165 is designed, for example, as an LED light source, which is arranged in a region of the washing compartment 105 that faces away from the washing compartment door 110 .

Furthermore, the cleaning device 100 according to this embodiment

Door opening mechanism 170 through which the washing compartment door 110 is only optionally opened automatically after the end of a cleaning program. The

According to this exemplary embodiment, cleaning device 100 is implemented as a built-in device that can be arranged, for example, in a kitchen below a worktop 175 .

In other words, the described approach enables a door angle-controlled load detection of a dishwasher

Cleaning device 100 allows.

The start of the program for commercially available cleaning devices 100 is at the discretion of the

operator. Often, however, the cleaning device 100 is also started when the load is too low, for example if clean dishes are needed earlier than planned for reasons of time. In another situation, it makes sense to start a program that is optimally selected for the dishes loaded earlier in time, for example if a lot of heavily soiled pots have been placed in the lower basket, which is the second one here

Basket element 135 is designated. With the approach presented, a degree of loading that

Loading behavior and the type of loaded dishes from the cleaning device 100 automatically detected, so that the user continuously, for example, the degree of loading on his smartphone or in a display of the cleaning device 100 are communicated. According to this exemplary embodiment, fully loaded baskets 130, 135, 140 can be recognized automatically.

The cleaning device 100 shown here has the washing chamber 105 with the

Washing room door 105 is closed and can be opened by means of a door handle. The

Cleaning device 100 is installed as a built-in device in a kitchen unit below the worktop 175. Inside the washing room door 110 is the device control, which as

Control unit 125 is described and which an actuator (not numbered, not shown) of

Cleaning device 100 controls. Furthermore, the control unit 125 contains the door sensor 145, which is preferably designed as an acceleration sensor. Furthermore, preferably to the

Baskets 130, 135, 140 arranged and referred to as load sensors

Vibration sensors 150, 160 are provided, for example as

Acceleration sensors running. The washing room side within the washing room door 110 is the

Arranged image acquisition device 155, which takes pictures of the washing area 105. To the

To support image recording, the lighting device 165 illuminates the wash cabinet 105. Inside the dishwasher 100 is the basket system, which is as

Recording device 115 is described, consisting of the cutlery tray 140, the

Upper basket 130 and the lower basket 135 for receiving the items to be washed. s Figure 2 shows a schematic representation of an embodiment of a

Cleaning device 100. The cleaning device 100 shown corresponds, for example, to the cleaning device 100 described in FIG. Also optional

Cleaning device 100 has a turbidity sensor 205 arranged on the collection container 200, which is designed, for example, to detect a turbidity of the collected liquid. The turbidity sensor 205 is only optionally formed as part of the sensor device. According to this embodiment, it is also apparent that the

Image capture device 155, the lighting device 165, the

Door opening mechanism 179 and the turbidity sensor 205 are electrically connected to the control unit 125 by means of electrical lines 210.

Fig. 3 shows a schematic representation of an embodiment of a

Cleaning device 100 with a pulled-out basket element 130. The one shown here

Cleaning device 100 corresponds to that described in one of FIGS

Cleaning device 100. The washing compartment door 110 is shown at least partially open. The basket element 130 is shaped like a drawer. The

Vibration sensor 150 and the other vibration sensors 160 are according to this

Embodiment in each case in a bottom area of the basket elements 130, 135, 140 arranged centrally. According to this embodiment, the washing room door 110 has a

Door opening angle a, which is at least approximately 45 °. The door opening angle a is detected by the door sensor 145, which according to this embodiment in the

Control unit 125 is arranged.

Figure 4 shows a schematic representation of an embodiment of a

Cleaning device 100 with a pulled-out basket element 130. The one shown here

Cleaning device 100 corresponds, for example, to that described in FIG

Cleaning device 100. Only a number of the other vibration sensors 160 differ. According to this embodiment is one of the other

Vibration sensors on a side wall 400 of the washing chamber 105 facing

Cleaning device 100 arranged. According to this embodiment, the at the

Side wall 400 arranged vibration sensor 160 realized or realizable as a microphone, which is designed to record loading-specific noises.

Located on the baskets vibration sensors 150, 160 are as

Acceleration sensors, the vibration sensor 160 located in the washing chamber 105 as

microphone performed. The microphone records load-specific noises

Vibration sensors 160 detect the loading actions.

In a training environment such as a laboratory, experimental kitchen,

Test households in the field, the neural network is trained via the images from the cameras 155 to recognize user-specific loading behavior, typical or household loads in the baskets 130, 135, 140 and representative or household-typical soiling. The user-specific loading behavior describes the selected door opening angle a, an opening time of the door 110 and the

Frequency of opening and, of course, the combination of all three pieces of information. The

Data set enables in connection with the user-specific loading behavior

Determination of a rinsing grid and/or a rinsing frequency classified by time and

Day of the week, in particular whether the day of the week is a public holiday or the weekend. The purge grid is a time distance between two

rinsing processes. The advantageous combination of all information allows the neural network to learn the typical flushing behavior on a time basis with the prognosis of the

Frequency of use and/or intensity of use. The selected program is also assigned to the time grid. The door sensor 145 provides the neural network

Information on how far the wash cabinet door 110 has been opened. With the opening angle a, there is a correlation to the pulled-out basket 130. If the opening angle a is, for example, 90°, there is a very high probability that the lower basket 135 has been pulled out. With an opening angle a of approx. 45° the upper basket 130 and with an even smaller opening angle a the cutlery drawer 140. Conclusions can be drawn on the basis of the frequency and the time between the openings and above all the duration of the door opening at a certain angle a How the corresponding baskets 130, 135, 140 and thus the cleaning device 100 are loaded. For example, if the washing compartment door 110 was only open for a few seconds in the 90° position, few items of crockery were probably placed in the lower basket 135 . Otherwise, the complete loading can be expected if the opening lasts a few minutes. Another

Information about the loading behavior is also derived from whether in a

Loading cycle all three angular positions a templates or less. A complete table or painting set can be found in all basket levels. The basic data required for this can also be determined in the training environment. In addition, it is from

Significance of how often the washing-up compartment door 110 was opened, for example within a week, and in which angular positions a. An opening frequency of, for example, 20 across all levels within a week suggests a full machine 100.

The reference values for this are again determined in the training environment.

Furthermore, the approach presented includes an artificial intelligence and/or a neural network, which is controlled by the cameras 155, the door sensor 145 and the

Vibration sensors 150, 160 is fed. The sensors 155, 145, 150, 160 form a

Sensor field, which is referred to as a sensor device according to this embodiment. The neural network decides when the cleaning device 100 is fully loaded and intervenes in the program algorithms that are stored in the control unit 125. The device actuators, for example drives, and the lighting device 160 in the washing compartment 105 are switched on and off by the control unit 125 . Furthermore, the cleaning device 100 is networked via W-LAN, for example, so that the control unit 125 always has up-to-date data sets about the time, day of the week and year as well as the selected washing programs. The data set is also available to the neural network.

With a fully loaded machine 100, an automatic program start in connection with a door opening and door closing function is possible. Reliable information about the load status of the baskets 130, 135, 140 is obtained by evaluating the operator's door-opening and loading behavior. The fully loaded machine 100 is recognized. The soiling and the type of dishes are detected. A trained and learning neural network uses the information to make decisions about starting and selecting a program. The resulting possible program modifications can now be derived and used in a more targeted manner.

FIG. 5 shows an exemplary embodiment of a load-specific vibration recording 500 for a cleaning device. The vibration recording 500 has according to this

Embodiment a first track 505, a second track 510 and a third track 515. The traces 505, 510, 515 were recorded in a cleaning device, for example, as was described in one of FIGS. According to this

Embodiment is each of the tracks 505, 510, 515 each have a basket element

Recording device assigned or assignable. Each of the peaks 520 shown represents loading by a user. According to this embodiment, the first trace 505 and the second trace 510 each have more peaks 520 than the third

Track 515. It can be seen from this that, for example, the basket elements assigned to the first track 505 and the second track 510 are each fuller than the basket element assigned to the third track 515. Furthermore, it can be seen from the tips 520, for example, whether the

items to be cleaned have a high or low weight.

The vibration sensors provide additional information about the load status. Thus, in the characteristic also referred to as a loading pattern

Vibration recording 500 derived from the signal from the acceleration sensors on the baskets, the entire loading process can be recognized. According to this

An exemplary loading sequence up to full loading is shown in the exemplary embodiment using the signals from the acceleration sensors on the cutlery drawer, on the upper basket and on the lower basket. Each signal peak 520 represents a loading event

Summation of all signal peaks 520 of the acceleration sensors combined with the

This is the signal from the microphone, the evaluation of the door angle a and the data set

Loading behavior reliably mapped. The presented approach combines the neural

Network all available information to get the most realistic picture of the

generate loading situation. The combination of the signal from the door sensor and that of the camera enables the neural network to reliably detect which basket has been pulled out, which items of crockery have been inserted and what soiling is to be expected. This information also increases the validity of the decisions of the neural network. The neural network decides and/or recommends on the

Based on all information, the program start and the program to be rinsed and leads

program modifications. The information is the user preferably on a

displayed on the cleaning device or on a smart phone. So it turns out about the

Service life of the machine an individualization and thus an optimal adjustment of the

dishwashing programs to the dishwashing behavior in the respective household, which, for example, also

saves resources. Preferably, the neural network boots the device

night to get into an electricity saving tariff. This function is advantageously combined with an automatic door opening and door closing function.

FIG. 6 shows a flow chart of a method 600 according to an exemplary embodiment for operating a cleaning appliance. The method 600 can be carried out for and/or in a cleaning device, for example, as has been described in at least one of FIGS. The method 600 includes a step 605 of reading in, a

Step 610 of evaluating and a step 615 of providing. In step 605 of

Sensor data are read in from a sensor device, the sensor data being a door signal representing a door parameter of a washing chamber door of the cleaning appliance, at least one oscillating signal representing a loading process and/or a

Include image signal representing a pictorial representation of the wash cabinet. In step 610 of the evaluation, the sensor data are evaluated using reference data in order to obtain an evaluation result that represents a current load status of the receiving device with items to be cleaned. In step 615 of providing, a control signal is provided using the evaluation result, the control signal being designed to control a device function of the cleaning device. Steps 605, 610, 615 are then repeated.

According to this exemplary embodiment, method 600 additionally includes a step 620 of storing the current loading state at least as part of the reference data after step 610 of evaluating in order to store a stored loading state.

In this case, in a repeated step 605 of reading in the stored

Load state read in, in a repeated step 610 of evaluating the

Sensor data evaluated using the stored loading condition to obtain the current evaluation result, an updated loading condition of the

Represents recording device with items to be cleaned, and in a repeated step 615 of providing the control signal using the updated

Evaluation result provided. In step 610 of evaluating, for example, at least two of the signals read in in step 605 of reading in are therefore

Sensor data evaluated.

According to this exemplary embodiment, in step 605 of reading in, pre-trained

Read reference data from a storage unit. Additionally or alternatively, for example, the reference data by means of a radio interface and / or from a dem

Read in the cleaning device from a device-external source. This means that the reference data ı5 is obtained wirelessly from a cloud, for example, so that the cleaning device has an up-to-date data record. In step 605 of reading in, at least one more

Oscillation signal read in, which represents a signal of a further vibration sensor, whereupon in step 610 of the evaluation the oscillating signal and the further oscillating signal are evaluated. Furthermore, in step 605 of reading in, the door parameter is read in, which represents a door opening angle, a door opening duration and/or a period of time between door movements. This means that in step 610 of the evaluation, the evaluation result is obtained using the door parameter as sensor data which corresponds to a predetermined type of cleaning item and/or a loaded basket element

Recording device is assigned. The evaluation result is, for example, under

Considering a correlation between the door opening angle and an extended basket element of the recording device is determined, so that, for example,

Control signal is provided in step 615 of providing using an artificial intelligence algorithm.

FIG. 7 shows a block diagram of a control unit 125 according to an exemplary embodiment for a cleaning device. The control unit 125 can be used in a cleaning device, for example, as was described in one of FIGS. 1 to 4, for example. The

Control unit 125 is further designed to a method for operating a

To control cleaning device or perform, as described in Fig. 6. The

Control unit 125 has a reading unit 700, an evaluation unit 705 and a

Provisioning unit 710 on. The read-in unit 700 is designed to receive sensor data 715 of a

Read sensor device 120, wherein the sensor data 715 a door signal 720 of a

Door sensor 145, which represents a door parameter of a washing room door of the cleaning device, at least one vibration signal 725 of a vibration sensor 150, the one

Represents loading process, and / or include an image signal 730 of an image acquisition device 155, which represents a pictorial representation of the washing compartment. The

Evaluation unit 705 is designed to use the sensor data

Evaluate reference data 735 in order to obtain an evaluation result 740 that represents a current load status of the receiving device with items to be cleaned. The

Providing unit 710 is designed to generate a control signal 745 using the

Provide evaluation result 740. The control signal 745 is designed to control a device function using a device actuator 750 of the cleaning device 11 . The device function is only optionally connected to the lighting device 165 . The reference data 735 is stored in a storage unit 755 only as an option.

Claims (14)

patent claims 1. Method (600) for operating a cleaning device (100) with a washing compartment (105), a washing compartment door (110), a receiving device (115) for receiving items to be cleaned and/or a sensor device (120), the method (600) comprises the following steps: - reading in (605) sensor data (715) of the sensor device (120), the sensor data (715) including a door signal (720), which represents a door parameter of the washing compartment door (110) of the cleaning appliance (100), at least one oscillating signal (725) representing a loading process and/or an image signal (730) representing a pictorial representation of the washing chamber (105); - Evaluation (610) of the sensor data (715) using reference data (735) in order to obtain an evaluation result (740) which represents a current load status of the receiving device (115) with items to be cleaned; and - providing (615) a control signal (745) using the evaluation result (740), the control signal (745) being designed to control a device function of the cleaning device (100). The method (600) according to claim 1, wherein in the step (615) of providing the drive signal (745) is provided using an artificial intelligence algorithm. 3. Method (600) according to one of the preceding claims, wherein in the step (605) of reading in the door parameter is read in, which represents a door opening angle, a door opening duration and/or a time span between door movements. 4. The method (600) according to any one of the preceding claims, wherein in step (610) of evaluating the evaluation result (740) is obtained using the door parameter as sensor data (715) which corresponds to a predetermined type of cleaning item and/or a loaded state of the Basket element (130) is assigned to the receiving device (115). 5. The method (600) according to claim 3 or 4, wherein in step (610) of evaluating the evaluation result (740) is determined taking into account a correlation between the door opening angle and an extended basket element of the receiving device (115). 6. The method (600) according to claim 1, wherein in step (610) of evaluating at least two of the signals (720, 725, 730) read in in step (605) of reading in are evaluated as sensor data (715). 7. The method (600) according to any one of the preceding claims, wherein in the step (605) of reading in, pre-trained reference data (735) are read in from a memory unit (755). 8. The method (600) according to any one of the preceding claims, wherein in step (605) of reading in the reference data (735) are read in by means of a radio interface and/or from a source external to the cleaning device (100). 9. The method (600) according to any one of the preceding claims, wherein in step (605) of reading in at least one further vibration signal is read, which represents a signal of a further vibration sensor (160), and wherein in step (610) of evaluating the vibration signal ( 725) and the further oscillation signal are evaluated. 10. The method (600) according to any one of the preceding claims, wherein the steps (605, 610, 615) of the method (600) are repeatedly performed. 11. The method (600) according to claim 10, with a step (620) of storing the current loading status at least as part of the reference data (735) after the step (610) of evaluating in order to store a stored loading status, wherein in a repeated step ( 605) of reading in the stored loading status is read in, with the sensor data (715) being evaluated in a repeated step (610) of evaluating using the stored loading status in order to obtain the current evaluation result (740), which shows an updated loading status of the receiving device ( 115) with items to be cleaned, and wherein in a repeated step (615) of providing the control signal (745) is provided using the updated evaluation result (740). 12. Control unit (125) designed to execute and/or control the steps (605, 610, 615, 620) of the method (600) according to one of the preceding claims in corresponding units (700, 705, 710). 13. Computer program product with program code for carrying out the method (600) according to any one of claims 1 to 10, when the computer program product is executed on a control unit (125) according to claim 12. 14. Cleaning device (100) for cleaning items to be cleaned, which has the following features: - a closable washing compartment (105); - A rinsing chamber door (110) for closing the rinsing chamber (105); - A receiving device (115) with a basket element (130) and at least one parallel to the basket element (130) arranged further basket element (135), wherein the receiving device (115) is arranged in the washing compartment (105); - A sensor device (120) having a door sensor (145) for detecting a door parameter of the washing compartment door (110), at least one on the receiving device (115) arranged vibration sensor (150) and / or Image acquisition device (155) for acquiring the washing chamber (105); and - a control unit (125) according to claim 12.