CN110824964A - Batching amount control method and device, storage medium and automatic batching machine - Google Patents
Batching amount control method and device, storage medium and automatic batching machine Download PDFInfo
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Abstract
The invention discloses a method and a device for controlling dosage of ingredients, a storage device and an automatic dispensing machine, wherein a dosage instruction is received, the dosage instruction comprises a dosage name and a fuzzy semantic vocabulary of the dosage, a numerical interval of the dosage corresponding to the fuzzy semantic vocabulary describing the dosage of ingredients is searched from a pre-stored fuzzy-precise quantitative data table according to the dosage name, then the precise dosage of the ingredients is further determined in the numerical interval according to the dosage grade, and a corresponding dosage control instruction is sent according to the precise dosage of the ingredients, so that the dosage of the ingredients is precisely controlled. The method greatly improves the intelligent degree in the cooking process, and is beneficial to improving the use experience of users.
Description
Technical Field
The invention relates to the technical field of smart home, in particular to a method and a device for controlling dosage of ingredients, a storage medium and an automatic dosing machine.
Background
The intelligent house is rapidly developed, and the mode based on speech control house becomes more and more common, and about the inside culinary art facility in kitchen, menu is reported and automatic blending machine also takes place. Regarding the menu broadcasting, the contents of part of the menu are not strict enough, a few fuzzy quantitative words such as 'proper amount' and the like appear, a user cannot easily grasp the specific dosage after obtaining information, and the existing automatic batching machine cannot carry out batching operation according to the fuzzy quantitative words.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: automatic batching machine can't carry out the batching operation according to the fuzzy quantization vocabulary among the prior art, the not high problem of intelligent degree.
In order to solve the technical problem, the invention provides a method for controlling the dosage of ingredients, which comprises the following steps:
receiving a batching instruction, wherein the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing the batching amount;
according to the ingredient names, searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table;
further determining the accurate dosage of the ingredient in the numerical range according to the ingredient dosage grade;
and sending a corresponding ingredient amount control instruction according to the accurate amount of the ingredients, so that the ingredient amount is accurately controlled.
Preferably, the batching instruction further comprises a vegetable series to which the dishes to be batched belong,
according to the ingredient name, searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-precise quantitative data table, wherein the numerical value interval comprises the following steps:
and searching a dosage numerical value interval of the ingredient in the vegetable system corresponding to the fuzzy semantic vocabulary describing the dosage of the ingredient from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name and the vegetable system to which the vegetable to be ingredient belongs.
Preferably, the ingredient usage level is described by a corresponding percentage value; wherein, according to ingredient usage level, further determining an accurate amount of the ingredient in the value interval, comprises:
according to the percentage value corresponding to the ingredient usage grade, further determining the accurate usage of the ingredient in the value interval by the following expression:
X0a + (b-a) ﹡ P, where a represents the minimum value corresponding to the value interval, b represents the maximum value corresponding to the value interval, P represents the percentage value corresponding to the ingredient dosage level, X0Representing the precise amount of the ingredient.
Preferably, before the step of further determining the precise amount of the ingredient in the value range according to the ingredient amount grade, the method further comprises: and setting or updating a percentage value corresponding to the ingredient usage grade.
Preferably, the ingredient amount grades comprise N grades, and the percentage values corresponding to the N ingredient amount grades are set as,Is an arithmetic series of percentage values of tolerance.
Preferably, the ingredient dosage grade comprises five grades: the five grades comprise a fresh grade, a partial fresh grade, a general grade, a heavy grade and a partial heavy grade, wherein the percentage numerical values of the five grades are 0%, 25%, 50%, 75% and 100%, respectively.
Preferably, the method further comprises: the fuzzy-accurate quantization data table is a measurement model based on the intermediary truth degree.
In another aspect of the present invention, there is provided a dose control device for ingredients, comprising:
the system comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving a batching instruction, and the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing the batching amount;
the searching module is used for searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name;
the analysis module is used for further determining the accurate dosage of the ingredients in the numerical value interval according to the dosage grade of the ingredients;
and the sending module is used for sending a corresponding batching amount control instruction according to the accurate batching amount so as to accurately control the batching amount.
In another aspect of the present invention, a storage medium is provided, in which a computer program is stored, which when executed by a processor is capable of implementing the ingredient amount control method described above.
In another aspect of the present invention, there is provided an automatic dispensing machine comprising: the dosing control system comprises a processor and a memory connected with the processor, wherein the memory stores a computer program, and the computer program can realize the dosing control method when being executed by the processor.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
by applying the ingredient amount control method, the ingredient instruction is received, the ingredient instruction comprises an ingredient name and a fuzzy semantic vocabulary of the ingredient amount, a numerical interval of the ingredient amount corresponding to the fuzzy semantic vocabulary describing the ingredient amount is searched from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name, the accurate amount of the ingredient is further determined in the numerical interval according to the ingredient amount grade, and a corresponding ingredient amount control instruction is sent according to the accurate amount of the ingredient, so that the accurate control of the ingredient amount is realized. The method greatly improves the intelligent degree in the cooking process, and is beneficial to improving the use experience of users.
Drawings
The scope of the present disclosure may be better understood by reading the following detailed description of exemplary embodiments in conjunction with the accompanying drawings. Wherein the included drawings are:
fig. 1 is a schematic flow chart illustrating a method for controlling dosage of ingredients according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating a fuzzy-precise quantization data table according to an embodiment of the present invention.
Fig. 3 is a flow chart of another ingredient quantity control method provided by the embodiment of the invention.
Fig. 4 is a schematic structural diagram illustrating an apparatus for controlling dosage of ingredients according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following will describe in detail an implementation method of the present invention with reference to the accompanying drawings and embodiments, so that how to apply technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented.
In prior art, intelligent house rapid development, the mode based on speech control house becomes more and more common, and about the inside culinary art facility in kitchen, the menu is reported and automatic blending machine also takes place. Regarding the menu broadcasting, the contents of part of the menu are not strict enough, a few fuzzy quantitative words such as 'proper amount' and the like appear, a user cannot easily grasp the specific dosage after obtaining information, and the existing automatic batching machine cannot carry out batching operation according to the fuzzy quantitative words.
In view of the above, the present invention provides a method for controlling an amount of ingredients, which includes receiving an ingredient instruction, where the ingredient instruction includes an ingredient name and a fuzzy semantic vocabulary of the amount of ingredients, searching a numerical range of the amount of ingredients corresponding to the fuzzy semantic vocabulary describing the amount of ingredients from a pre-stored fuzzy-precise quantization data table according to the ingredient name, further determining a precise amount of the ingredients in the numerical range according to an ingredient amount level, and sending a corresponding ingredient amount control instruction according to the precise amount of the ingredients, thereby achieving precise control of the amount of ingredients. The method greatly improves the intelligent degree in the cooking process, and is beneficial to improving the use experience of users.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart of an ingredient quantity control method according to an embodiment of the present invention, which includes steps S101 to S104.
In step S101, a material blending command is received, where the material blending command includes a material blending name and a fuzzy semantic vocabulary describing a material blending amount.
The fuzzy semantic words refer to words such as 'a small amount', 'a little amount', 'a proper amount' and 'a large amount', the names of ingredients can be 'salt', 'oil', 'sauce', 'vinegar', etc., the ingredient instructions can also include the cuisine to which the dish to be prepared belongs, and the cuisine to which the dish to be prepared belongs can be 'Hunan dish', 'Yuejingdish', 'Chuandish', etc.
In the embodiment of the invention, the ingredient command can be input through voice or keys, wherein the voice input mode can be that the ingredient command is input through voice of a user or menu broadcasting of cooking equipment. When a batching instruction input by voice is received, the fuzzy semantic vocabulary, the batching names and the cuisine to which the dishes to be batched belong can be screened out by converting the voice information into text information.
In step S102, according to the ingredient name, a numerical range of the ingredient usage corresponding to the fuzzy semantic vocabulary describing the ingredient usage is found from the pre-stored fuzzy-precise quantitative data table.
In the embodiment of the present invention, the fuzzy-precise quantization data table may be established by using a mathematical quantization method based on the MMTD (measurement of Medium channel Degree) as a theoretical basis, or the fuzzy-precise quantization data table may be established by using data acquired by a user investigation or the like. By using the method, the fuzzy semantic vocabulary can be matched with the accurate using amount according to a specific application scene, and the method can embody the objective relation between the fuzzy semantic vocabulary and the accurate quantitative using amount.
The fuzzy-accurate quantitative data table can be a data table in which fuzzy semantic vocabularies and numerical value intervals established aiming at different ingredient names correspond to one another one by one; the fuzzy-precise quantitative data table may also be a data table in which fuzzy semantic words and data intervals are in one-to-one correspondence under different cuisine systems established for different ingredient names, as shown in fig. 2, wherein a numerical value interval may be represented by [ a, b ], a represents a corresponding minimum value of the data interval, and b represents a corresponding maximum value of the numerical value interval. For example, if northern residents use 0.4, 1 g of sugar for one dish and use the same food material to make a taste of a cantonese dish, the corresponding sugar consumption is increased, and the sugar consumption of 1, 4 g is possibly needed, a numerical range of the dosage of the ingredient can be obtained according to the type of the ingredient and the vegetable system to which the ingredient instruction belongs, and the range can be further narrowed according to the membership degree of the fuzzy vocabulary relative to the dosage range. For example, when a user cooks with the same food material, the user inputs a command "put a small amount of sugar" and "yue dish" by voice, and the membership degree of the "small amount" is 30%, the accurate usage interval corresponding to the "small amount" of the fuzzy semantic vocabulary at this time is [1, 2] g, and if the user does not input a cuisine at this time, the accurate usage interval corresponding to the "small amount" of the fuzzy semantic vocabulary at this time is determined to be [0.4, 0.6] g based on the common usage such as [0.4, 1] g and the membership degree corresponding to the "small amount" is 30%. It should be noted that the degree of the total usage of the fuzzy vocabulary membership statistics of different cuisine systems can be different.
As an example, the step may specifically be that, when the fuzzy semantic vocabulary and the ingredient name in the ingredient command are identified, the numerical value interval of the ingredient usage amount corresponding to the fuzzy semantic vocabulary describing the ingredient usage amount is found from the pre-stored fuzzy-precise quantitative data table according to the ingredient name.
As another example, the step may further be specifically implemented by identifying a fuzzy semantic vocabulary, an ingredient name, and a cuisine in the ingredient command, and finding a usage numerical value interval of the ingredient in the cuisine, corresponding to the fuzzy semantic vocabulary describing the usage of the ingredient, from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name and the cuisine to which the cuisine to be ingredient belongs.
In step S103, an accurate amount of the ingredient is further determined in the value interval according to the ingredient amount grade.
The ingredient usage level may be described by a corresponding percentage value, which may be denoted by P.
It should be noted that, in the embodiment provided by the present invention, the percentage value corresponding to the ingredient usage level may be set or updated. As an example, the ingredient quantity ratings include N ratings, and the percentage values corresponding to the N ingredient quantity ratings may be set to zero,
Is an arithmetic series of percentage values of tolerance. As a specific example, ingredient dosage levels may be set according to the taste of the user, for example ingredient dosage levels may be divided into: the five grades of desalination, partial desalination, general, weight and partial weight are respectively 0%, 25%, 50%, 75% and 100%.
The step may specifically be further determining the accurate amount of the ingredient in the value interval according to a percentage value corresponding to the ingredient amount grade by the following expression:
X0a + (b-a) ﹡ P, where a represents the minimum value corresponding to the value interval, b represents the maximum value corresponding to the value interval, P represents the percentage value corresponding to the ingredient dosage level, X0Representing the precise amount of the ingredient.
In step S104, a corresponding ingredient amount control command is sent according to the accurate amount of the ingredient, so as to accurately control the ingredient amount.
This step can specifically be, sends corresponding batching quantity control instruction to automatic blending machine according to the accurate quantity that acquires, and this automatic blending machine can be corresponding according to the instruction add the batching of specific volume numerical value to eating in the material to realized the conversion of fuzzy quantity to accurate quantity, improved the intelligent degree of culinary art in-process.
The ingredient usage amount control method provided by the embodiment of the invention includes receiving an ingredient instruction, searching a numerical range of the ingredient usage amount corresponding to a fuzzy semantic vocabulary describing the ingredient usage amount from a pre-stored fuzzy-precise quantitative data table according to the ingredient name, further determining the precise usage amount of the ingredient in the numerical range according to the ingredient usage level, and sending a corresponding ingredient usage amount control instruction according to the precise usage amount of the ingredient, thereby achieving precise control of the ingredient usage amount. The method greatly improves the intelligent degree in the cooking process, and is beneficial to improving the use experience of users.
Example two
Referring to fig. 3, a schematic flow chart of another ingredient quantity control method according to an embodiment of the present invention is shown, which includes steps S301 to S304.
In step S301, a batching instruction is received, where the batching instruction includes a batching name, a fuzzy semantic vocabulary describing a batching amount, and a cuisine to which a dish to be batched belongs.
The fuzzy semantic words refer to words such as 'small amount', 'proper amount' and 'large amount', the names of ingredients can be 'salt', 'oil', 'sauce', 'vinegar', 'dried pepper', etc., the ingredient instructions can also include the vegetable system to which the vegetable to be prepared belongs, and the vegetable system to which the vegetable to be prepared belongs can be 'Hunan dish', 'Yuejia dish', 'Sichuan dish', etc.
Be applied to the intelligent machine of cooking that possesses automatic blending machine, be provided with speech recognition device, menu on this intelligent machine of cooking and report device and corresponding batching and set up the button. Specifically, a user instruction can be input through a user voice or a cooking equipment menu broadcasting mode, when a batching instruction input through voice is received, the voice information can be converted into text information, and fuzzy semantic words, batching names and a cuisine to which dishes to be batched belong are screened out from the text information.
In step S302, according to the ingredient name and the cuisine to which the dish to be ingredient belongs, the usage numerical value interval of the ingredient in the cuisine corresponding to the fuzzy semantic vocabulary describing the ingredient usage is found from the pre-stored fuzzy-precise quantitative data table.
As shown in fig. 2, the pre-stored fuzzy-accurate quantitative data table may determine a unique and corresponding numerical value interval according to the fuzzy semantic vocabulary, the ingredient types, and the dish system.
In this step, according to the ingredient name in the identified ingredient instruction and the cuisine to which the dish to be ingredient belongs, the usage numerical value interval of the ingredient in the cuisine corresponding to the fuzzy semantic vocabulary describing the ingredient usage can be found from the pre-stored fuzzy-precise quantitative data table.
In step S303, an accurate amount of the ingredient is further determined in the value interval according to the ingredient amount grade.
The ingredient usage level may be described by a corresponding percentage value, which may be denoted by P.
It should be noted that, in the embodiment provided by the present invention, the percentage value corresponding to the ingredient usage level may be set or updated. As an example, the ingredient quantity ratings include N ratings, and the percentage values corresponding to the N ingredient quantity ratings may be set to zero,
Is an arithmetic series of percentage values of tolerance. As a specific example, ingredient dosage levels may be set according to the taste of the user, for example ingredient dosage levels may be divided into: the five grades of desalination, partial desalination, general, weight and partial weight are respectively 0%, 25%, 50%, 75% and 100%.
The step may be specifically to further determine the accurate usage of the ingredient in the value interval according to the percentage value corresponding to the ingredient usage level by the following expressionQuantity: x0A + (b-a) ﹡ P, where a represents the minimum value corresponding to the value interval, b represents the maximum value corresponding to the value interval, P represents the percentage value corresponding to the ingredient dosage level, X0Representing the precise amount of the ingredient. For example, at this time, salt is added to a Guangdong dish, a voice command "Add little salt to Guangdong dish" is input, and the ingredient usage level is "general" by pressing a button, it can be known from the fuzzy-accurate quantitative data table in FIG. 2 that "a little" corresponds to a numerical range of [0.10, 0.30 ]]And the grade P of the dosage of the ingredients is 50%, the accurate dosage X corresponding to the fuzzy semantic vocabulary0When the calculated result is 0.2 g, 0.10+ (0.30-0.10) ﹡ 50%, a control command is sent to the dispensing machine according to the result, so that the dispensing machine can automatically add 0.2 g of salt.
In step S304, a corresponding ingredient amount control command is sent according to the accurate amount of the ingredient, so as to accurately control the ingredient amount.
This step can specifically be, sends corresponding batching quantity control instruction to automatic blending machine according to the accurate quantity that acquires, and this automatic blending machine can be corresponding according to the instruction add the batching of specific volume numerical value to eating in the material to realized the conversion of fuzzy quantity to accurate quantity, improved the intelligent degree of culinary art in-process.
According to the another ingredient usage control method provided by the embodiment of the invention, when an ingredient instruction is received, according to the name of the ingredient and the cuisine to which the dish to be ingredient belongs, and according to the name of the ingredient and the cuisine to which the dish to be ingredient belongs, a usage numerical range of the ingredient in the cuisine corresponding to the fuzzy semantic vocabulary describing the ingredient usage is searched from a pre-stored fuzzy-precise quantitative data table, then the precise usage of the ingredient is further determined in the numerical range according to the ingredient usage grade, and a corresponding ingredient usage control instruction is sent according to the precise usage of the ingredient, so that the precise control of the ingredient usage is realized. The method greatly improves the intelligent degree in the cooking process, and is beneficial to improving the use experience of users.
In another aspect of the present invention, there is provided an ingredient amount control apparatus, as shown in fig. 4, including:
the receiving module 401 is configured to receive a batching instruction, where the batching instruction includes a batching name and a fuzzy semantic vocabulary describing a batching amount;
a searching module 402, configured to search, according to the ingredient name, a numerical interval of the ingredient usage corresponding to the fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-precise quantitative data table;
an analysis module 403, configured to further determine an accurate amount of the ingredient in the numerical range according to the ingredient amount level;
the sending module 404 is configured to send a corresponding ingredient amount control instruction according to the accurate amount of the ingredient, so as to accurately control the ingredient amount.
In this embodiment, the ingredient amount control device may further include a processor and a memory, the memory stores a receiving module 401, a searching module 402, an analyzing module 403, and a sending module 404, and the processor may be configured to call and execute each module in the memory, so that when an ingredient instruction is received, a numerical interval corresponding to the fuzzy amount vocabulary and the ingredient characteristic information may be found from the fuzzy-precise quantization data table, and a precise amount may be further determined according to the ingredient amount grade, thereby realizing conversion from the fuzzy amount vocabulary to the precise control amount, greatly improving convenience and intelligence of the cooking process, and facilitating improvement of user experience.
In another aspect of the present invention, a storage medium is provided, in which a computer program is stored, which when executed by a processor, is capable of implementing the following steps of the ingredient usage control method:
receiving a batching instruction, wherein the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing batching usage;
according to the ingredient name, searching a numerical interval of the ingredient usage corresponding to the fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table;
further determining the accurate dosage of the ingredients in a numerical range according to the dosage grade of the ingredients;
and sending a corresponding batching amount control instruction according to the accurate batching amount, thereby accurately controlling the batching amount.
In another aspect of the present invention, there is provided an automatic dispensing machine comprising: a processor and a memory connected to the processor, the memory having stored therein a computer program which, when executed by the processor, is capable of implementing the following steps of the ingredient usage control method:
receiving a batching instruction, wherein the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing batching usage;
according to the ingredient name, searching a numerical interval of the ingredient usage corresponding to the fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table;
further determining the accurate dosage of the ingredients in a numerical range according to the dosage grade of the ingredients;
and sending a corresponding batching amount control instruction according to the accurate batching amount, thereby accurately controlling the batching amount.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The utility model provides a batching volume control method, is applied to automatic blending machine, its characterized in that includes:
receiving a batching instruction, wherein the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing the batching amount;
according to the ingredient names, searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table;
further determining the accurate dosage of the ingredient in the numerical range according to the ingredient dosage grade;
and sending a corresponding ingredient amount control instruction according to the accurate amount of the ingredients, so that the ingredient amount is accurately controlled.
2. The method of claim 1, wherein the recipe command further includes a recipe to which the dish to be cooked belongs,
according to the ingredient name, searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-precise quantitative data table, wherein the numerical value interval comprises the following steps:
and searching a dosage numerical value interval of the ingredient in the vegetable system corresponding to the fuzzy semantic vocabulary describing the dosage of the ingredient from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name and the vegetable system to which the vegetable to be ingredient belongs.
3. The method of claim 1, wherein the ingredient usage level is described by a corresponding percentage value; wherein, according to ingredient usage level, further determining an accurate amount of the ingredient in the value interval, comprises:
according to the percentage value corresponding to the ingredient usage grade, further determining the accurate usage of the ingredient in the value interval by the following expression:
X0a + (b-a) ﹡ P, where a represents the minimum value corresponding to the value interval, b represents the maximum value corresponding to the value interval, P represents the percentage value corresponding to the ingredient dosage level, X0Representing the precise amount of the ingredient.
4. The method according to claim 1 or 2, wherein before the step of further determining the precise amount of the ingredient in the value interval according to an ingredient amount rating, the method further comprises: and setting or updating a percentage value corresponding to the ingredient usage grade.
5. The method of claim 4, wherein the ingredient quantity ratings comprise N ratings, and wherein the percentage values corresponding to the N ingredient quantity ratings are set to zero,Is an arithmetic series of percentage values of tolerance.
6. The method of claim 5, wherein the ingredient usage ratings comprise five ratings: the five grades respectively correspond to percentage numerical values of 0%, 25%, 50%, 75% and 100%.
7. The method of claim 1, further comprising: the fuzzy-accurate quantization data table is a measurement model based on the intermediary truth degree.
8. A dosage control device, comprising:
the system comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving a batching instruction, and the batching instruction comprises a batching name and a fuzzy semantic vocabulary for describing the batching amount;
the searching module is used for searching a numerical value interval of the ingredient usage corresponding to a fuzzy semantic vocabulary describing the ingredient usage from a pre-stored fuzzy-accurate quantitative data table according to the ingredient name;
the analysis module is used for further determining the accurate dosage of the ingredients in the numerical value interval according to the dosage grade of the ingredients;
and the sending module is used for sending a corresponding batching amount control instruction according to the accurate batching amount so as to accurately control the batching amount.
9. A storage medium, characterized in that the storage medium has stored therein a computer program which, when being executed by a processor, is capable of implementing the ingredient usage control method according to any one of claims 1 to 7.
10. An automatic dispensing machine, comprising: a processor and a memory connected to the processor, the memory having stored therein a computer program which, when executed by the processor, is capable of implementing the ingredient usage control method according to any one of claims 1 to 7.
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