Method for determining a freshness state of a food in a storage container as well as computer program product and storage container

Abstract

A method based on sensor information of a MOX sensor. Sensor information captured at different operating temperatures in different freshness state determination cycles determines a freshness state of a food. Additional information relating to a food is determined. A storage container, a computer program product, and a household cooling appliance for carrying out the method.

Claims

1. A method, for determining a freshness state of a food in a storage container, the method comprising: performing a first freshness state determination cycle of the food by, setting a first operating temperature of at least one MOX sensor, and capturing a gas mixture in the storage container by the MOX sensor at the first operating temperature; setting at least one second operating temperature of the MOX sensor that is different from the first operating temperature, and capturing a gas mixture in the storage container by the MOX sensor at the second operating temperature; determining, by an evaluation unit, a state of the gas mixture based on the information captured at the at least two operating temperatures during the first freshness state determination cycle; performing a second freshness state determination cycle of the food temporally consecutively to the first freshness state determination cycle, in the second freshness state determination cycle, setting the first operating temperature of the MOX sensor, and capturing a gas mixture in the storage container by the MOX sensor at this first operating temperature; setting at least the second operating temperature of the MOX sensor that is different from the first operating temperature, and capturing a gas mixture in the storage container by the MOX sensor at the second operating temperature; determining, by the evaluation unit, a state of the gas mixture based on the information captured at the two operating temperatures during the second freshness state determination cycle; determining, by the evaluation unit, the freshness state of the food in the storage container based on the state of the gas mixture that was determined in the first freshness state determination cycle and based on the state of the gas mixture which was determined in the at least second freshness state determination cycle; the step of determining the freshness state of the food in the storage container further including the steps of: analyzing captured information of the MOX sensor as actual signal sequences, and comparing the actual signal sequences with reference signal sequences; and the reference signal sequences being machine trained in a preprocessing phase of the method using machine learning, the machine training using the determined freshness state to update at least one of the reference signal sequences and/or a freshness state class maintained by the system.

2. The method according to claim 1, further comprising: capturing at least one characteristic feature of the gas mixture in the first freshness state determination cycle at least at one of the operating temperatures of the MOX sensor at least at two different points in time; and/or capturing at least one further characteristic feature of the gas mixture in the second freshness state determination cycle at least at one of the operating temperatures of the MOX sensor at least at two different points in time.

3. The method according to claim 1, wherein at least one operating temperature is set in at least one of the freshness state determination cycles for a time period of between 150 ms and 250 ms.

4. The method according to claim 2, wherein a state of the gas mixture is determined by, measuring a composition of the gas mixture at the respective points in time at which the operating temperatures were set in the respective freshness state determination cycle; and analyzing a change in the composition of the gas mixture from one freshness state determination cycle to another freshness state determination cycle.

5. The method according to claim 1, wherein specific freshness states of the food are characterized by the reference signal sequences.

6. The method according to claim 5, the method further comprising: defining freshness state classes of the food by the reference signal sequences; and classifying current freshness state of a food into a freshness state class depending on the outcome of the comparing of the actual signal sequences with the reference signal sequences.

7. The method according to claim 6, wherein: at least a first freshness state class is predetermined in which the food is free of mold; at least a second freshness state class is predetermined in which the food has developed mold; and during the step of determining the freshness state of the food, characterizing, by the evaluation unit, a probability relationship between the assignment of the determined freshness state and a freshness state class.

8. The method according to claim 1, wherein the determining of the freshness state of the food in the storage container is at least partially performed by machine training.

9. The method according to claim 1, the method further comprises outputting, through an output unit, the determined freshness state of food, where the output unit is an optical unit which displays a symbol corresponding to the determined freshness state.

10. The method according to claim 1, the method further comprises outputting, through an output unit, the determined freshness state of food, where the output unit is an acoustic unit which generates a sound corresponding to the determined freshness state.

11. The method according to claim 1, the method further comprises outputting, through an output unit, the determined freshness state of food, where the output unit is a display unit of a smart device which displays a symbol or generates a sound corresponding to the determined freshness state.

12. The method according to claim 1, wherein in a performing at least the first freshness state determination cycle, a temperature profile for the operating temperature is predetermined, which is an ascending and/or descending stepped profile so that temporally consecutively at more than two operating temperatures the gas mixture is captured in each case at least once by the MOX sensor.

13. The method according to claim 1, wherein the freshness state determination cycles are performed without capturing pause immediately consecutively.

14. The method according to claim 1, wherein a capturing pause is performed between the at least two freshness state determination cycles.

15. A non-transitory computer program product comprising instructions, which upon the execution of the program by a computer, the computer performs the method according to claim 1.

16. A storage container for food, comprising: a storage bowl configured for storing food; a MOX sensor; and an evaluation unit; said storage container configured to perform the method according to claim 1.

Description

BRIEF DESCRIPTION OF THE FIGURES

(1) FIG. 1 a schematic view of an embodiment of a storage container according to the invention;

(2) FIG. 2 a schematic view of an evaluation unit, by which in an embodiment a method for determining a freshness state of a food is performed;

(3) FIG. 3 an embodiment of a simplified diagram for the operating temperatures of a MOX sensor for determining the freshness state of a food in a storage container;

(4) FIG. 4 a schematic view of an embodiment of a household cooling appliance according to the invention; and

(5) FIG. 5 a schematic view of an evaluation unit, by which in an embodiment a method for determining an electronic future information for a food is performed.

DETAILED DESCRIPTION OF THE INVENTION

(6) In the figures the same elements and elements having the same function are equipped with the same reference signs.

(7) In FIG. 1 in a schematic representation an embodiment of a storage container 1 is shown. The storage container 1 is intentionally configured for storing at least one item of food 2. The storage container 1 comprises a storage bowl 3. In an embodiment the storage container 1 moreover also comprises a cover 4. In the embodiment this is arranged on the storage bowl 3 for closing the same. The storage container 1 may be closed. In this regard it may also be closed in a gas-proof manner. In another embodiment the closed state is configured to be also gas-permeable. In this context, for instance, the interface between the cover 4 and the bowl 3 may be configured to be gas-permeable. Additionally, or instead, ventilation openings may be formed in the storage bowl 3 and/or the cover 4.

(8) The storage container 1 in an embodiment may also be configured as keep-fresh container. Thereby in the interior of the storage container 1 storage conditions may be set which are defined differently from the storage conditions in a receiving space for food of the household cooling appliance. Thus, the corresponding storage container 1 can be placed into such receiving space of a household cooling appliance and the food 2 stored therein can be stored under storage conditions that are different from the storage conditions of the food in the remaining receiving space of the household cooling appliance.

(9) The storage container 1 in the embodiment comprises at least one MOX sensor 5. Neither the number nor the position are to be taken in a limiting way in FIG. 1. The MOX sensor may also be arranged on the cover 4, if such is present.

(10) In an embodiment the storage container 1 also comprises an electronic evaluation unit 6. The electronic evaluation unit 6 may, for instance, be arranged on the storage bowl 3.

(11) In an embodiment a food keep-fresh system 7 is provided. This may comprise the storage container 1. This may be correspondingly designed, as it has been explained in the above-named embodiments. The food keep-fresh system 7 may additionally or instead of the evaluation unit 6 comprise an evaluation unit 6, which then is arranged external to the storage container 1. For instance then a wireless communication between the evaluation unit 6 and the storage container 1, in particular the MOX sensor 5, is effected.

(12) In the named embodiments the storage container 1 in an embodiment may also comprise an output unit 8. This may be an optical and/or acoustic output unit 8. Thereby information can be output optically and/or acoustically. The output unit 8 may for instance be arranged on the cover 4. However, it may also be arranged for instance on the storage bowl 3.

(13) In a further embodiment the storage container 1 comprises an input unit 9. The input unit 9 may be configured for manual and/or acoustic input of information by the user.

(14) The input unit 9 may be arranged on the cover 4. However, it may also be arranged on the storage bowl 3.

(15) In an embodiment the storage container 1 also comprises at least one optical capturing unit 10. The optical capturing unit 10 may for instance be a camera. It may be arranged on the cover 4 or on the storage bowl 3. By this optical capturing unit 10 the storage container 1 itself or the food keep-fresh unit 7 itself can recognize, which food 2 is arranged in the storage container 3. Thus, a primary information can be optically captured. This primary information can then be provided to the evaluation unit 6 or 6.

(16) In an embodiment the display unit 8 may also be configured as external display unit 8 and/or be present in addition thereto. Equally, for instance also the input unit 9 may be configured as input unit 9 external to the storage container 1 and/or be provided in addition thereto. Here, too, then in an embodiment in each case a wireless communication with the storage container 1, in particular also the evaluation unit 6 may be effected.

(17) In a further embodiment the storage container 1 may also be an integral part of a communication network 11. The communication network 11 may be a domestic network. By this communication network 11 several household appliances may be wirelessly networked. In this regard they may be directly interlinked. In an embodiment this communication network 11 may also comprise a backend 12. Thereon information may be deposited, in particular also centrally. For instance correspondingly deposited information can be provided to the evaluation unit 6 or 6. In the backend 12 for instance information about the freshness states of various kinds of food can be deposited. They may be from one storage container 1. They may, however, also be from various storage containers 1 and/or various household cooling appliances. Thus, information about freshness states and/or electronic future information relating to a single item of food or to several different items of food may be deposited.

(18) The food keep-fresh system 7 also comprises a computer program product. This computer program product comprises instructions, which upon execution of the program by a computer cause the same to perform a method for determining a freshness state of a food 2 in a storage container 1.

(19) This computer program product may for instance be deposited on the evaluation unit 6 or the evaluation unit 6. The computer program product, however, may also be deposited in the backend 12.

(20) In FIG. 2, to this end, a schematic representation of an evaluation unit 6 or 6, respectively, is shown. The evaluation unit 6 or &comprises a computer program product 13, here represented symbolically.

(21) For instance, to be able to determine the freshness state of the food 2 in the storage container 1 by a computer-implemented method, to start with, the providing of a captured information relating to the gas mixture in the storage container 1, in which the food 2 is located, is performed according to the arrow P1. This first information was captured in a first freshness state determination cycle by the MOX sensor 5. This MOX sensor 5, for this purpose, was operated in a defined way at a set first operating temperature, at which a corresponding measurement for capturing this first information has been done. In particular, this first electronic information is received by the evaluation unit 6 or 6, respectively.

(22) Moreover, according to the arrow P2 a providing of a captured information relating to a gas mixture in the storage container 1, in which the food 2 is located, is effected. This captured information was captured by the MOX sensor 5 in this first freshness state determination cycle. This was effected in a defined way by the MOX sensor at a set second operating temperature, which is different from the set first operating temperature. This second electronic information is received by the evaluation unit 6 or 6, respectively.

(23) By the evaluation unit 6 or 6, respectively, then a determining of a state of the gas mixture in the storage container 1 is effected depending on these two pieces of information captured in the first freshness state determination cycle.

(24) In an embodiment moreover then a providing of a further captured information relating to the gas mixture in the storage container 1 is effected, in which the food 2 is located, which in FIG. 2 is symbolized by the arrow P3. This further captured information was captured by the MOX sensor 5 in a second freshness state determination cycle following the first freshness state determination cycle. In particular therein a first operating temperature of the MOX sensor 5 was set. This first captured electronic information is received by the evaluation unit 6 or 6, respectively.

(25) According to a further way of proceeding, a providing of a captured information relating to the gas mixture in the storage container 1, in which the food 2 is located, is effected. This further captured information was captured by the MOX sensor 5 in this second freshness state determination cycle. It was captured at a second operating temperature, which here, too, was set in a defined way and is different from the first operating temperature. It is symbolized by the arrow P4. This second captured electronic information is received by the evaluation unit 6 or 6, respectively. Then also again a determining of a state of the gas mixture is effected depending on the information captured at the two operating temperatures in the second freshness state determination cycle.

(26) In a further step by the evaluation unit 6 or 6, respectively, a determining of the current freshness state of the food 2 in the storage container 1 is performed. This is effected depending on the state of the gas mixture determined in the first freshness state determination cycle. It also is effected depending on the state of the gas mixture determined in the at least second freshness state determination cycle. By the evaluation unit 6 or 6, respectively, then an information P5 can be provided, which characterizes this determined freshness state of the food.

(27) This means that thus, to start with, a method is provided as computer-implemented method, in which specific information is provided to the evaluation unit 6 or 6, respectively, the same depending on this provided captured information determines the freshness state of the food 2 and provides this determined information relating to the freshness state.

(28) In an embodiment in this context, it is envisaged with regard to the method that, to start with, the food 2 is placed into the storage container 1. Then a first freshness state determination cycle of the food 2 is performed. To this end, a first operating temperature of at least the one MOX sensor 5 is set in a defined way. At this first operating temperature a gas mixture is captured in the storage container 1 by this MOX sensor 5.

(29) In a temporally consecutive step then at least one second operating temperature of the MOX sensor 5 that is different from the first one is set in a defined way. At this second operating temperature the gas mixture in the storage container 1 is captured by the MOX sensor 5. This equally is effected during the continuing first freshness state determination cycle.

(30) After finishing the first freshness state determination cycle at least one second freshness state determination cycle for the food 2 is performed. The at least one second freshness state determination cycle can be performed immediately temporally consecutively to the first freshness state determination cycle. However, in an embodiment it may also be envisaged that between the at least two freshness state determination cycles there is a pause. This may last several minutes or several hours.

(31) In an embodiment many freshness state determination cycles for determining a freshness state of the food 2 are performed. In this regard a plurality of immediately consecutive freshness state determination cycles are performed. Thereby a continuous capturing of the respective current freshness state can be effected.

(32) In an embodiment per freshness state determination cycle more than two different operating temperatures of the MOX sensor 5 are set in a defined way and in each case at least a one-time capturing of the gas mixture during such a set operating temperature is performed. Preferably, however, per set operating temperature of a MOX sensor several, in particular in each case several, capturing processes of the gas mixture are performed by the MOX sensor. In particular two, in particular in each case three, such capturing processes per set operating temperature are performed. It may be envisaged in an embodiment that these different measuring processes per operating temperature in each case are performed at equal time intervals relative to each other.

(33) In an embodiment an operating temperature of a MOX sensor is set in a defined way and also for a certain period of time set in a defined way. This period of time may amount to between 150 ms and 250 ms, in particular between 190 ms and 210 ms. In the case of such time interval then in an embodiment it may be envisaged that a first capturing process of the MOX sensor is performed at the onset of this set operating temperature. A second capturing process may then be performed at this set operating temperature approximately halfway through the period of time for which this operating temperature is set. In an embodiment a third capturing process may be performed at the end of this time interval for which this operating temperature of the MOX sensor is set.

(34) In the case of the at least one further freshness state determination cycle of the food 2 again the setting of a first operating temperature of the MOX sensor 5 follows. Then the gas mixture in the storage container 1 is captured by the MOX sensor 5 at least once. Subsequently, then during the same, at least one second freshness state determination cycle a second operating temperature of the MOX sensor 5 that is different from the first one is set. Then at this set second operating temperature at least once the gas mixture in the storage container 1 is captured by the MOX sensor.

(35) The first operating temperature may be the same in the performed freshness state determination cycles. The at least second operating temperature may be the same in the performed freshness state determination cycles.

(36) Depending on this information then, on the one hand, the states of the gas mixture are determined by the evaluation unit 6, 6 for the respective performed freshness state determination cycles depending on the information captured at the respective operating temperatures. Depending thereon, as already set out with regard to FIG. 2 in the above, the freshness state of the food 2 in the storage container 1 is determined. This determined freshness state is provided by the evaluation unit 6, 6 in particular as electronic information.

(37) Depending on the determined result of the freshness state of the food 2 in an embodiment a symbolic representation on the output unit 8 or 8, respectively, may be effected. For instance here, a color characterization of the determined freshness state may be effected. It may for instance be envisaged that a green representation is effected if the freshness state is unimpaired. This means that the consumability of the food 2 is unquestionable. If the freshness state in this regard has progressed, in an embodiment a yellow color representation on the display unit 8 or 8, respectively, may occur. If the freshness state for instance is already relatively poor and consumption of the food 2 no longer possible without reservations, an optical representation by the color red on the output unit 8 or 8, respectively, may be provided.

(38) In an embodiment as a state of the gas mixture in the freshness state determination cycles a composition of the gas mixture at the respective points in time at which the operating temperatures were set is determined. Additionally, or instead, a state of the gas mixture in these freshness state determination cycles may be a change of the composition of the gas mixture of a freshness state determination cycle in another freshness state determination cycle. This, too, may be determined accordingly.

(39) In an embodiment it is for instance also possible that as captured information actual signal sequences of the MOX sensor 5 are considered. This is a further very advantageous embodiment. This is because thus no explicit capturing of concentrations of molecules of the gas mixture needs to be performed. By comparing these captured actual signal sequences with saved reference signal sequences the states of the gas mixture can be determined.

(40) In an embodiment such reference signal sequences can be determined multiply in preprocessing phases and also development phases of the storage container 1. Thus, reference signal sequences for different kinds of food can be determined. Thereby for one or several kinds of food also very precisely their respective freshness state and/or a change in the freshness state can be analyzed. Thus, manifold and very precise reference signal sequences can be determined. For instance, in this context, also a machine training can be performed. In this machine learning a preprocessing and a classification of the freshness states may occur. By the reference signal sequences thus manifold specific freshness states of a food or of several kinds of food are characterized. By the machine training and classifying this can be effected, on the one hand, very simply and, on the other hand, also very comprehensively.

(41) Depending on these comparisons between the actual signal sequences and the reference signal sequences the states of the gas mixture can be determined and depending thereon the freshness state of the food be determined.

(42) In an embodiment these reference signal sequences can be saved in the evaluation unit 6 or 6, respectively, and/or in the backend 12.

(43) However, it is also possible that such a machine training is effected not only in such a preprocessing phase. Rather, then also during the actual operation of such system such machine learning can be performed.

(44) It is also common that based on these approaches a classification is predetermined. Depending on the represented analyses and determinations then a classification of the food 2 into a freshness state class can be effected. For instance, it may be envisaged that at least two different freshness state classes are predetermined. One of these freshness state classes may specify a freshness state, in which the food 2 is still free of mold. By a second freshness state class a freshness state can be specified in which the food already has developed, in particular, has just started to develop mold. Also, the classifying can be machine trained.

(45) In a further embodiment it may be envisaged that when determining the freshness state also a probability is determined by the evaluation unit 6 or 6, respectively. By this probability an assignment of the determined freshness state to a freshness state class can be characterized. Thus, the respective ways of proceeding for determining a freshness state can be effected in a more specific and more variable way and thus also more in line with demand and more precisely. Thus, in the very case of a classification and the advantageously indicated probability value a further information can be provided. Thus, the classification can be still better individually assessed.

(46) In the case of food that is stored due to the storage conditions such as storage time and/or humidity and/or storage temperature different processes in changes in the freshness state of the food occur. Invariably involved are characteristic molecules which are generated and/or proliferate in the process. Thus, by the suggested method it is facilitated very advantageously that it is not required to detect molecules in their concentration, but rather that quasi the gas mixture as such is comprehensively analyzed, this means the presence of molecules during certain phases.

(47) With many kinds of food in the case of a change in the freshness state, in particular a deterioration of the freshness state, an occurrence of VOC (Volatile Organic Compounds) is involved. These are thus also characteristic of the respective freshness states and changes in freshness states. In particular, ester compounds are to be named as dominant molecules. Moreover, also ethylene compounds or ethyl acetate compounds are known in such gas mixtures.

(48) With regard to the above-named classification of freshness states a normalization of a general analysis of components can be performed by classifiers. As classifiers here for instance MLP (Multilayer Perceptron) or GBD (Gradient Boosting Decision Tree) or a logistic regression or the like can be used. As classifiers therein is to be understood a hypothesis about a discrete value function, which is used to assign a class identification to specific data points. By the exemplarily named classifiers in this regard examples of such hypotheses are indicated. Thus, also an unambiguous relationship between the sensor information and the defined classes can be generated. Thus, also an unambiguous association of actual signal sequences with freshness state classes is facilitated. This is the case via the above-mentioned possibility of comparing the actual signal sequences with the reference signal sequences.

(49) Particularly advantageous is the analysis by the dynamic operating mode of the MOX sensor. Dynamic, in this context, means that the MOX sensor is operated at least at two different operating temperatures and at each of these operating temperatures capturing or measuring operations of characteristic criteria of the gas mixture are performed.

(50) In FIG. 4 an embodiment of a household cooling appliance 14 is shown. The household cooling appliance 14 is configured for storage and preservation of food. The household cooling appliance 14 may be a cooling appliance or a freezer or a fridge-freezer combination appliance. The household cooling appliance 14 comprises a housing 15. In the housing 15 an inner liner 16 is arranged. By its walls the inner liner 16 bounds a receiving space 17 for food. The receiving space 17 may be a cooling compartment. The household cooling appliance 14 moreover comprises a door 18. The door 18 is configured for front side closure of the receiving space 17. It is movably arranged on the housing 15. FIG. 4 shows in an exemplary way that a storage container 1 is arranged in the receiving space 17. The storage container 1 may be configured according to an embodiment as it was explained in connection with FIG. 1.

(51) It is also possible that the household cooling appliance 14 comprises an evaluation unit 6, 6, which is arranged external to the storage container 1. The same additionally or instead may also be envisaged for instance for the output unit 8, 8 and/or the input unit 9, 9.

(52) In one further embodiment the household cooling appliance 14 may be integral part of the communication network 11. Then also an evaluation unit 6, 6 can be arranged external to the household cooling appliance 14.

(53) For instance, in another embodiment the evaluation unit 8 or 8, respectively, and/or the input unit 9 or 9, respectively, may be integral part of a portable communication terminal device. Such a communication terminal device may be a mobile radio terminal device or a tablet.

(54) In FIG. 4 also the backend 12 is shown in an exemplary way. This may be present if a communication network 11 is formed and the household cooling appliance 14 is integral part of this communication network 11.

(55) In FIG. 3, in an embodiment, a diagram is shown in which the time t is plotted on the horizontal axis and the temperature T on the vertical axis. As embodied here, an operating temperature function BF is shown. This is an embodiment as to how a dynamic operating mode of the MOX sensor 5 is performed during a freshness state determination cycle. Here it can be recognized that this operating temperature function BF is a stepped function. In the embodiment, it comprises an ascending branch BF1. Moreover, in an embodiment, it also comprises a descending branch BF2. In an embodiment, starting from the point in time t0 the operation of the MOX sensor 5 is started during a freshness state determination cycle. Then the operating temperature T0 is set in a defined way. In this dynamic operation mode, the same is set and maintained for a predetermined period of time, which is measured between the points in time t0 and t1. During this period of time, between the points in time t0 and t1 at least one measurement or a capturing operation is performed by the MOX sensor 5 on the gas mixture. In at least some, in particular all, different operating temperatures, as they are predetermined by this stepped profile, in each case several measuring or capturing operations are performed on the gas mixture. In FIG. 3, in this regard exemplarily in one place of this stepped function for a temperature an enlarged view is shown. Here this relates exemplarily to the temperature T4. It is to be recognized that this operating temperature T4 is set for a period of time of here for instance 200 ms. In this time interval here exemplarily three separate measuring or capturing operations A, B, and C are performed by the MOX sensor 5.

(56) It is also possible that at all set operating temperatures in each case an identical number of capturing or measuring operations are performed. It may, however, also be envisaged that this number of measuring operations varies depending on the respective set operating temperature T.

(57) In FIG. 3 a duration of a freshness state determination cycle is exemplarily represented. This duration is measured between the point in time t0 and the point in time tx.

(58) Immediately subsequent to the point in time tx then a second freshness state determination cycle may be effected. However, also a certain duration of a pause after the point in time tx may follow and only after this pause then an at least second freshness state determination cycle be performed.

(59) By this very setting of different operating temperatures, in particular a stepped profile, as it is shown in FIG. 3, a sensitivity and a selectivity of the MOX sensor 5 can be clearly raised. The individual molecules at these different temperatures respond in this regard individually so that the analysis of the entire gas mixture is basically only facilitated by this dynamic operating mode of the MOX sensor 5 and moreover can be effected very precisely, too. This has crucial advantages over common MOX sensors, which can be operated only at one operating temperature and thus also are sensitive only to a specific molecule.

(60) Commonly in such gas mixture also other molecules, such as ketones and alcohol, are present. Moreover, also the humidity and the temperature in the storage container play an influential role and sensors for measurement these magnitudes could also be added and used for an improved detection.

(61) Preferably, the operating temperature of the MOX sensor 5 in discrete temperature steps explained in this regard can be changed in a value interval of for instance 130 C. to 350 C. In particular, the temperature range between 130 C. and 200 C. is advantageous for the dominant molecule ester.

(62) It is also possible that the MOX sensor 5 provides a plurality of values at different points in time and different operating temperatures. This may be up to 180 values. These values in sum represent a data point. These up to preferably 180 values are used as a basis for the state determination of the gas mixture and depending thereon in turn for the determination of the freshness state of the food and are regarded as a data point.

(63) In FIG. 5, a simplified representation of an evaluation unit 6 or 6 is shown respectively. By this evaluation unit 6 or 6 also a method, in particular a computer-implemented method, for generating an information relating to a food can be performed. Thus a method for operating a food keep-fresh system can be performed.

(64) In an embodiment according to arrow P6 an electronic information, in particular an additional information, relating to a freshness state of a food 2 in a storage container 1 can be provided to the evaluation unit 6 or 6, respectively, in particular be received by the evaluation unit 6, 6. This electronic information in an embodiment can be generated on the basis of the above-named method for determining such freshness state of a food 2. Here, too, this determined freshness is an electronic information relating to this freshness state.

(65) Based on this provided electronic information an electronic future information relating to the food 2 is generated by the evaluation unit 6 or 6, respectively. This at least one electronic future information according to the arrow P7 is provided by the evaluation unit 6 or 6, respectively. This generated electronic future information P7 is output by the evaluation unit 6 or 6, respectively.

(66) In an embodiment an electronic future information may comprise a consumption sequence in which food 2 in the storage container 1 is to be consumed. In particular this is advantageous if in the storage container 1 several different kinds of food are contained or several separate portions of the same food 2 are stored therein. Thus, also a priority list for the consumption of this stored food can be effected by the evaluation unit 6, 6.

(67) It is possible in a further embodiment that as an electronic future information a prediction information is generated. In this prediction, the future freshness state of the future freshness state change of the food 2 is predicted or estimated. In this context, critical changes in the freshness state, if given, can also be temporally predicted.

(68) In an embodiment as an electronic future information a storage information can be generated, by which storage conditions for the food are suggested for the future. This may for instance concern parameters which relate to the humidity and/or the temperature in the storage container 1 and are to be set in the future.

(69) In a further embodiment as an electronic future information a reminder information can be generated, by which a reminder is generated that the food 2 is stored in the storage container 1. It is not uncommon for a user to forget that he has food 2 stored in the storage container 1. Unknowingly, thus, the freshness state of the food 2 changes to the effect that, if applicable, a consumption is only possible to a limited extent or no longer possible at all.

(70) In a further embodiment an electronic future information may comprise a preparation information, by which a preparation suggestion for a consumption of the food 2 is generated. For instance, in this context, various recipes for the preparation of the food 2 may be suggested.

(71) In an embodiment a future information may be generated based on current information of the food 2 and/or based on past information relating to the food 2. For instance, here also past use behavior of a user can be considered. In particular with regard to the various examples, as they were named for electronic future information and as they were suggested in this regard in the past for a corresponding food 2 or for other food, may here be considered. In particular, as to whether corresponding presented future information generated in the past were then correspondingly executed by a user. Thus, also a use and an acceptance of this generated electronic future information can be assessed in a self-learning manner. In particular, also a priority list for corresponding different future information can be established. In this context, it is also possible that depending on the respective food 2 to be assessed it is recognized which electronic future information generated in the past was more or less executed or utilized by a user and which were not. Thus, the system even then, depending on the respective food 2 to be currently evaluated, can generate an electronic future information more in line with demand and/or generate an accordingly better adapted priority list of the electronic future information.

(72) In an embodiment the computer program product may also be a software application. The same may be installed in the evaluation unit 6, 6. It may also be installed for instance on a portable communication terminal device.

(73) In an embodiment the at least one electronic future information generated and provided by the evaluation unit 6 or 6, respectively, is output at an output unit. The output unit may for instance be the output unit 8 or 8, respectively. As already explained with regard to FIG. 4, such an output unit 8 or 8, respectively, may also be arranged on an outer face of the door 18 of the household cooling appliance 14.

(74) The following is a summary list of reference numerals and the corresponding structure used in the above description of the invention:

LIST OF REFERENCE SIGNS

(75) 1 storage container 2 food 3 storage bowl 4 cover 5 MOX sensor 6 evaluation unit 6 evaluation unit 7 food keep-fresh system 8 output unit 8 output unit 9 input unit 9 input unit 10 optical capturing unit 11 communication network 12 backend 13 computer program product 14 household cooling appliance 15 housing 16 inner liner 17 receiving space 18 door t time t0 point in time tx point in time A capturing B capturing C capturing BF operating temperature function BF1 ascending branch BF descending branch P1 arrow P2 arrow P3 arrow P4 arrow P5 arrow P6 arrow P7 arrow T temperature T0 operating temperature T4 operating temperature