METHOD AND DEVICE FOR DETECTING A BOILING STATE OF A LIQUID AND DOMESTIC COOKING APPLIANCE
20200260536 ยท 2020-08-13
Inventors
Cpc classification
International classification
H05B1/02
ELECTRICITY
Abstract
A method and a device for detecting a boiling state of a liquid and a domestic cooking appliance permit a boiling state of a liquid to be detected during a process of heating the liquid in a heating zone, for example of an induction cooktop. A sensor senses vibrations that are caused during the heating of the liquid in the form of a measuring signal. An evaluation unit converts a time diagram of the sensed measuring signal into a frequency spectrum and then determines the boiling state of the liquid by using an intelligent algorithm on the basis of the frequency spectrum.
Claims
1. A method for detecting a boiling state of a liquid during a process of heating the liquid in a heating zone, the method comprising the following steps: sensing vibrations caused during the heating of the liquid and providing a measuring signal; converting a time diagram of the sensed measuring signal into a frequency spectrum; and determining the boiling state of the liquid by using an intelligent algorithm based on the frequency spectrum.
2. The method according to claim 1, which further comprises carrying out the step of determining the boiling state by performing a comparison of the frequency spectrum with a set of comparison spectra containing frequency spectra for different boiling states of a liquid during the heating process.
3. The method according to claim 1, which further comprises carrying out the step of determining the boiling state by performing a comparison of the frequency spectrum with a set of comparison spectra containing frequency spectra for at least one of different types of liquid, different amounts of liquid or different liquid receiving containers.
4. The method according to claim 1, which further comprises using an appliance controller of one or more heating zones to provide items of heating zone information, and carrying out the step of determining the boiling point by the intelligent algorithm based on the provided items of heating zone information.
5. The method according to claim 1, which further comprises carrying out the step of determining the boiling point by the intelligent algorithm based on items of user information input by a user by way of parameters influencing the process of heating the liquid.
6. The method according to claim 2, which further comprises adapting at least one of the intelligent algorithm or the set of comparison spectra to user feedback input by a user concerning a correctness of the determined boiling state.
7. The method according to claim 1, which further comprises: using at least one of an optical or thermal monitoring unit to additionally monitor the boiling state of the liquid; after carrying out the step of determining the boiling state, using the monitoring unit to input monitoring feedback concerning a correctness of the determined boiling state; and adapting at least one of the intelligent algorithm or the set of comparison spectra to the input monitoring feedback.
8. The method according to claim 1, which further comprises after carrying out the step of determining the boiling state, at least one of: outputting an information signal to a user, or outputting at least one of an item of information or a control signal to an appliance controller of one or more heating zones.
9. The method according to claim 1, which further comprises carrying out the step of sensing vibrations by using a vibration sensor.
10. The method according to claim 1, which further comprises carrying out the step of sensing vibrations by using an accelerometer.
11. A device for detecting a boiling state of a liquid during a process of heating the liquid in a heating zone, the device comprising: at least one sensor for sensing vibrations caused during the heating of the liquid and for providing a measuring signal having a time diagram; and an evaluation unit connected to said at least one sensor, said evaluation unit having an intelligent algorithm, and said evaluation unit being configured for: converting said time diagram of said sensed measuring signal into a frequency spectrum; and determining the boiling state of the liquid by using said intelligent algorithm based on said frequency spectrum.
12. The device according to claim 11, which further comprises at least one of a memory or an interface with an external memory for storing a set of comparison spectra containing at least one of frequency spectra for different boiling states of a liquid during a heating process or frequency spectra for at least one of different types of liquid, different amounts of liquid or different liquid receiving containers.
13. The device according to claim 11, which further comprises an appliance controller of one or more heating zones, said evaluation unit having an interface for receiving items of heating zone information from said appliance controller.
14. The device according to claim 11, wherein said evaluation unit has an interface for receiving items of user information by way of at least one of parameters influencing the process of heating the liquid or user feedback concerning a correctness of the determined boiling state by a user.
15. The device according to claim 11, which further comprises at least one of an optical or thermal monitoring unit connected to said evaluation unit for monitoring a boiling state of the liquid.
16. The device according to claim 11, wherein said at least one sensor is a vibration sensor.
17. The device according to claim 11, wherein said at least one sensor is an accelerometer.
18. A domestic cooking appliance, comprising: at least one heating zone; an appliance controller for activating said at least one heating zone; and a device according to claim 11 for detecting a boiling state of a liquid during a process of heating the liquid in a heating zone.
Description
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING
[0030]
[0031]
DETAILED DESCRIPTION OF THE INVENTION
[0032] The present invention is explained in more detail below by way of example in the case of the application of an (induction) cooktop or hob, without it being intended that the invention is restricted to the application in such domestic cooking appliances or domestic cooking appliances in general.
[0033] Referring now to the figures of the drawings in detail and first, particularly, to
[0034] As indicated in
[0035] The at least one sensor 18 is connected to an evaluation unit 20 (in a wireless or wired manner). This evaluation unit 20 is configured to detect, on the basis of the measuring signal sensed by the sensor 18, a boiling state of an item being cooked on the cooktop 10 according to the method described below. The evaluation unit 20 is connected to the cooktop controller 16 (in a wireless or wired manner) or is integrated in the cooktop controller 16.
[0036] Optionally, the cooktop 10 is additionally provided with a thermal and/or optical monitoring unit 22, which can thermally and/or optically monitor the boiling state of an item being cooked on the cooktop 10. The monitoring unit 22 may for example be attached to an extractor or exhaust hood above the cooktop 10. The monitoring unit 22 is likewise connected to the evaluation unit 20 (in a wireless or wired manner).
[0037]
[0038] The at least one sensor 18 senses the vibrations of the item being cooked during the heating process in the form of a measuring signal A, which it transmits to the evaluation unit 20. The measuring signal A is first recorded in the form of a time diagram B, that is to say as a vibration level/time diagram. This time diagram B is converted by the evaluation unit 20 by using a Fourier transformation C into a frequency spectrum D, that is to say into a vibration level/frequency diagram.
[0039] During the heating (up) of a liquid or of a liquid-containing mixture, the vibrations caused by the creation, rising up and bursting of steam bubbles not only become louder (that is to say there is an increasing vibration level) as the temperature increases. During heating of the liquid, the vibrations also change in the various phases of the heating-up and cooking process and the vibrations differ according to the type and amount of the liquid and according to the type and size of the cooking vessel. Therefore, shortly before reaching the boiling point, usually a typical boiling vibration occurs with a high-frequency hissing, which is overlaid with low-frequency vibrations as a result of the bursting of the steam bubbles and vibrations of the cooking vessel during the transition to boiling. The amount and type of liquid to be heated up and the proportion of liquid in the item being cooked that is to be heated up also influence the volume and the type of vibrations. The vibrations generated also depend on the material and the size of the cooking vessel and the presence or absence of a lid on the cooking vessel.
[0040] The frequency spectrum D of the sensed measuring signal A is then evaluated by an intelligent algorithm E of the evaluation unit 20. The intelligent algorithm in this case, preferably uses tools of artificial intelligence, such as for example neural networks, expert systems, machine learning and/or fuzzy logic. Furthermore, this intelligent algorithm is preferably configured as self-learning, in order to be able if appropriate to correct its functional mode and adapt itself to changing or new application conditions.
[0041] The evaluation unit 20 determines, by using the intelligent algorithm on the basis of the frequency spectrum D, the boiling state of the item being cooked (boiling state determination F). Depending on the determined boiling state, there are then various reactions G, which are initiated by the evaluation unit 20. The reactions include in particulardepending on the determined boiling stateinformation signals for the user, which are sent to the operating device 14 and/or a mobile device of the user (e.g. smartphone), in order to generate corresponding optical and/or acoustic signals for the user, and items of information and/or control signals to the cooktop controller 16, in order to change the activation of the heating zones 12 (e.g. switch off heating, reduce heating output, increase heating output, etc.).
[0042] If, for example, the user receives, on the operating device 14 of the cooktop 10 or on his/her smartphone, items of information about the current boiling state of the item being cooked, he/she can react to this information. For example, after boiling of the water in a cooking pot is achieved, a further item to be cooked, such as for example noodles, can be introduced into the boiling water. The user does not have to stay at the cooktop the whole time, but can use the time for a heating-up process for other tasks until he/she is correspondingly informed by the evaluation unit 20.
[0043] On the other hand, a cooking process can be automated if items of information and/or control signals are transmitted to the cooktop controller 16, so that, according to requirements, the cooktop controller 16 ends or adapts the heating process. For example, after achieving boiling of the liquid (for example soup), the cooktop controller may reduce the heating output of the corresponding heating zone 12, in order to allow the liquid to continue being cooked with lower heat, or reduce or end the heating output of the corresponding heating zone 12, in order to prevent overcooking of the item being cooked. The user therefore does not have to stay at the cooktop the whole time during the heating-up and cooking, but can use the time for other tasks until he/she is correspondingly informed by the evaluation unit 20.
[0044] As illustrated in
[0045] The intelligent algorithm E determines the current boiling state of the item being cooked by a comparison of the frequency spectrum D generated from the measuring signal A with the set of comparison spectra H. That is to say that the algorithm determines which of the comparison spectra of the set H is most similar to the current frequency spectrum D.
[0046] In order to make the result of the comparison more accurate and more reliable, items of heating zone information J are preferably also transmitted to the algorithm by the cooktop controller 16. These items of heating zone information J include for example items of information about which of the heating zones is in operation, which of the heating zones has already been in operation for how long and with what heating output, which of the heating zones are occupied by a cooking vessel, and the like. If the heating zones 12 are also provided with temperature sensors, the items of heating zone information may also include items of information about the temperature of the heating zone 12 or of the cooking vessel.
[0047] In order to make the result of the comparison more accurate and more reliable, items of user information K are preferably also input to the algorithm by the user by way of the operating device 14. These items of user information K include for example items of information about the type of item being cooked, the amount of the item being cooked, the type of cooking vessel (pot, pan, etc.), the size of the cooking vessel, the material of the cooking vessel (cast iron, aluminium, etc.), the presence or absence of a lid on the cooking vessel and the like.
[0048] On the basis of the additional items of heating zone information J and items of user information K, the intelligent algorithm can for example select from the stored set of comparison spectra H a subgroup of comparison spectra that match the current parameters of the item being cooked that is to be heated, in order then to compare the frequency spectrum D of the measuring signal A only with this subgroup of comparison spectra.
[0049] In order to improve further the quality of the boiling state determination F, the intelligent algorithm E and the set of comparison spectra H may be adapted/corrected/improved in a self-learning way.
[0050] For this purpose, after the boiling state determination F has been completed, user feedback L concerning the actual boiling state of the item being cooked or the correctness of the boiling state determination F may be input to the intelligent algorithm E of the evaluation unit 20, for example by the user by way of the operating device 14. That is to say that the intelligent algorithm E can check or find out whether its boiling state determination F was correct or erroneous. In the case of an erroneous boiling state determination F, the algorithm E can then, if appropriate, correct its functional mode and/or correct or extend the comparison spectra of the set H. In this way, the results of the subsequent determinations of the boiling state F by the evaluation unit 20 can be improved.
[0051] Optionally, once the boiling state determination F has been completed, monitoring feedback M about the actual boiling state of the item being cooked may additionally be input to the intelligent algorithm E of the evaluation unit 20 by a monitoring unit 22, if such a monitoring unit 22 is present. Also in this variant, the intelligent algorithm E can then check whether its boiling state determination F was correct or erroneous and, in the case of an erroneous boiling state determination F, can then, if appropriate, correct its functional mode and/or correct or extend the comparison spectra of the set H, in order in this way to improve the results of the subsequent determinations of the boiling state F by the evaluation unit 20.
LIST OF REFERENCE NUMERALS
[0052] 10 Domestic cooking appliance, in particular (induction) cooktop [0053] 12 Heating zone [0054] 14 Operating device [0055] 16 Appliance controller, in particular cooktop controller [0056] 18 Sensor [0057] 20 Evaluation unit [0058] 22 Monitoring unit [0059] A Measuring signal [0060] B Time diagram [0061] C Fourier transformation [0062] D Frequency spectrum [0063] E Intelligent algorithm [0064] F Boiling state determination [0065] G Reaction to specific boiling state [0066] H (Training) set of comparison spectra [0067] J Items of heating zone information [0068] K Items of user information [0069] L User feedback [0070] M Monitoring feedback