CN111086049B - Food material processing method, storage medium and vegetable cutting equipment - Google Patents
Food material processing method, storage medium and vegetable cutting equipment Download PDFInfo
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- CN111086049B CN111086049B CN201911346214.3A CN201911346214A CN111086049B CN 111086049 B CN111086049 B CN 111086049B CN 201911346214 A CN201911346214 A CN 201911346214A CN 111086049 B CN111086049 B CN 111086049B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D5/00—Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
- B26D5/005—Computer numerical control means
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- A—HUMAN NECESSITIES
- A22—BUTCHERING; MEAT TREATMENT; PROCESSING POULTRY OR FISH
- A22C—PROCESSING MEAT, POULTRY, OR FISH
- A22C17/00—Other devices for processing meat or bones
- A22C17/0006—Cutting or shaping meat
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B26—HAND CUTTING TOOLS; CUTTING; SEVERING
- B26D—CUTTING; DETAILS COMMON TO MACHINES FOR PERFORATING, PUNCHING, CUTTING-OUT, STAMPING-OUT OR SEVERING
- B26D5/00—Arrangements for operating and controlling machines or devices for cutting, cutting-out, stamping-out, punching, perforating, or severing by means other than cutting
- B26D2005/002—Performing a pattern matching operation
Abstract
The invention discloses a food material processing method, a storage medium and vegetable cutting equipment, and relates to the technical field of kitchens, wherein the method comprises the following steps: acquiring menu information corresponding to food materials to be processed; determining the cutting requirement of the food material to be processed according to the menu information; and determining an operation mode of a food material cutting device according to the cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement. The invention has the beneficial effects that: the cutting requirements of different food materials can be met, and the food materials can be processed into the required appearance of a menu, so that the cooking is more scientific and simple. The technical problem that the food materials meeting the requirements can be accurately cut only by depending on experience and proficiency in the traditional vegetable cutting process is solved, the vegetable cutting automation is realized, and the vegetable cutting efficiency and the quality of vegetables are improved.
Description
Technical Field
The invention belongs to the technical field of kitchens, and particularly relates to a food material processing method, a storage medium and vegetable cutting equipment.
Background
At present, along with the rise of smart homes, the cooking habits of people are also changing, and the concept of smart kitchen is gradually formed. However, the current household kitchen cutting method mainly uses manual cutting, and the manual cutting method not only needs high proficiency to cut food materials into the size, the shape, the thickness and the like required by the user, but also can cause injury to the user due to carelessness.
Although automatic vegetable cutters of this type are also gradually appearing in the market, the current automatic vegetable cutters are always in one or more fixed working modes, and the size, shape, thickness and the like of food materials cannot be accurately mastered. Therefore, how to solve the technical problem has great significance in making the cooking more intelligent.
Disclosure of Invention
The invention is based on the technical problems and provides a food material processing method, a storage medium and a vegetable cutting device which can cut food materials according to the requirements of a menu.
In a first aspect, an embodiment of the present invention provides a food material processing method, including:
acquiring menu information corresponding to food materials to be processed;
determining the cutting requirement of the food material to be processed according to the menu information;
and determining an operation mode of a food material cutting device according to the cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement.
Further, according to the recipe information, determining the cutting requirement of the food material to be processed comprises:
acquiring keywords for indicating a cutting action and/or a food material cutting state from the menu information;
according to the keywords, searching cutting requirements corresponding to the keywords from a preset corresponding relation table to obtain the cutting requirements of the food materials to be processed; the preset corresponding relation table stores a plurality of keywords and cutting requirements corresponding to the keywords respectively.
Further, the cutting requirements include at least one of: the thickness requirement of the food material and the shape requirement of the food material.
Further, according to the cutting requirement of the food material to be processed, determining an operation mode of a food material cutting device, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement, including:
according to the food material thickness requirement, determining the speed of the food material cutting device for conveying the food material to be processed, controlling the food material cutting device to convey the food material according to the determined speed of conveying the food material to be processed, cutting the food material to be processed, and processing the food material to be processed into the food material meeting the food material thickness requirement.
Further, according to the cutting requirement of the food material to be processed, determining an operation mode of a food material cutting device, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement, including:
and determining a cutting tool and/or a cutter head model required by the food material cutting device according to the food material shape requirement, so as to control the food material cutting device to cut the food material to be processed by utilizing the determined cutting tool and/or cutter head model, and processing the food material to be processed into food material meeting the food material shape requirement.
Further, according to the cutting requirement of the food material to be processed, determining an operation mode of a food material cutting device, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement, including:
according to the food material shape requirement, determining an angle between the food material cutting device and the food material to be processed, so as to control the food material cutting device to cut the food material to be processed according to the determined angle between the food material cutting device and the food material to be processed, and processing the food material to be processed into the food material meeting the food material shape requirement.
Further, the method further comprises:
acquiring hardness information of the food material to be processed from a preset database; the database stores hardness information corresponding to food materials with different names respectively;
judging whether a cutting tool currently installed on the food material cutting device is suitable for cutting the food material corresponding to the hardness information;
and when the cutting tool currently installed by the food material cutting device is not suitable for cutting the food material corresponding to the hardness information, the cutting tool currently installed by the food material cutting device is switched to the cutting tool corresponding to the hardness information.
Further, acquiring menu information corresponding to the food material to be processed, including:
acquiring image information of food materials to be processed;
carrying out image recognition on the image information by utilizing a deep learning model to obtain the food material name of the food material to be processed;
and acquiring menu information corresponding to the food material name from a preset menu according to the food material name.
In a second aspect, an embodiment of the present invention further provides a storage medium, where the storage medium stores program codes, and when the program codes are executed by a processor, the food processing method according to any one of the foregoing embodiments is implemented.
In a third aspect, an embodiment of the present invention further provides a vegetable cutting device, where the vegetable cutting device includes a memory, a controller, and a food material cutting device, where the memory stores program codes, and when the program codes are executed by the controller, the food material processing method according to any one of the above embodiments is implemented to control the food material cutting device to cut a food material to be processed.
In the food material processing method provided by the embodiment of the invention, the cutting requirement of the food material to be processed is determined according to the menu information corresponding to the food material to be processed, and then the operation mode of the food material cutting device is determined according to the cutting requirement of the food material to be processed, so that the food material cutting device executes the operation mode to cut the food material to be processed, and the food material to be processed is processed into the food material meeting the cutting requirement. Therefore, the food material processing method provided by the embodiment of the invention can meet the cutting requirements of different food materials, and can process the food materials into the shapes required by the menu, so that the cooking is more scientific and simple. The technical problem that the food materials meeting the requirements can be accurately cut only by depending on experience and proficiency in the traditional vegetable cutting process is solved, the vegetable cutting automation is realized, and the vegetable cutting efficiency and the quality of vegetables are improved.
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 food material processing method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a food material processing method according to a second 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 the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Example one
According to an embodiment of the invention, a food material processing method is provided, which can be applied to a controller of a vegetable cutting device, wherein the vegetable cutting device further comprises a recognition device and a food material cutting device, wherein the recognition device is used for collecting image information of food materials to be processed, and the food material cutting device is used for cutting the food materials to be processed.
Fig. 1 shows a flowchart of a food material processing method according to an embodiment of the present invention, and as shown in fig. 1, the food material processing method may include: step 110 to step 130.
In step 110, recipe information corresponding to the food material to be processed is obtained.
Here, the food material to be processed refers to a food material to be cut by a user, for example, streaky pork is cut by the user to obtain 2.5cm square streaky pork pieces, and then the food material to be processed is streaky pork. A recipe relating to streaky pork is obtained. The recipe information corresponding to the food material to be processed may be a recipe determined in advance by the user, for example, if the recipe to be cooked by the user includes a braised pork recipe and a chili beef recipe, and if the food material to be processed is streaky pork, the corresponding recipe information is the braised pork recipe.
In step 120, the cutting requirement of the food material to be processed is determined according to the recipe information.
Here, even for the same food material, different cooking methods have inconsistent requirements for cutting the food material. Taking streaky pork as an example, when a user wants to cook red-cooked pork, the streaky pork needs to be cut into 2.5cm square meat pieces. When the user wants to cook the bacon, the streaky pork needs to be sliced. Therefore, the actual cutting requirement needs to be determined according to the recipe information, so that a corresponding cutting mode is formulated, and the actually cut food material meets the actual requirement of the recipe.
In step 130, according to the cutting requirement of the food material to be processed, determining an operation mode of a food material cutting device, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement.
Here, after the controller determines the cutting requirement of the food material to be processed, the operation mode of the food material cutting device is determined according to the cutting requirement of the food material to be processed. The operation mode comprises a cutting knife and/or a die for cutting used by the food material cutting device, and the feeding speed of the food material, the cutting speed and the cutting angle of the knife. And the controller controls the food material cutting device to execute the operation mode to cut the food material to be processed according to the determined operation mode of the food material cutting device, and the food material to be processed is processed into the food material meeting the cutting requirement.
In this embodiment, the cutting requirement of the food material to be processed can be determined according to the recipe information corresponding to the food material to be processed, and then the operation mode of the food material cutting device is determined according to the cutting requirement of the food material to be processed, so that the food material cutting device executes the operation mode to cut the food material to be processed, and the food material to be processed is processed into the food material meeting the cutting requirement. The cutting requirements of different food materials can be met, and the food materials can be processed into the required appearance of a menu, so that the cooking is more scientific and simple. The technical problem that the food materials meeting the requirements can be accurately cut only by depending on experience and proficiency in the traditional vegetable cutting process is solved, the vegetable cutting automation is realized, and the vegetable cutting efficiency and the quality of vegetables are improved.
Example two
On the basis of the foregoing embodiment, a second embodiment of the present invention can also provide a food material processing method. Fig. 2 shows a flowchart of a food material processing method according to a second embodiment of the present invention, and as shown in fig. 2, the food material processing method may include: step 210 to step 240.
In step 210, recipe information corresponding to the food material to be processed is obtained.
Here, the food material to be processed refers to a food material to be cut by a user, for example, streaky pork is cut by the user to obtain 2.5cm square streaky pork pieces, and then the food material to be processed is streaky pork. A recipe relating to streaky pork is obtained. The recipe information corresponding to the food material to be processed may be a recipe determined in advance by the user, for example, if the recipe to be cooked by the user includes a braised pork recipe and a chili beef recipe, and if the food material to be processed is streaky pork, the corresponding recipe information is the braised pork recipe.
In step 220, keywords indicating a cutting action and/or a food material cutting state are obtained from the recipe information.
In step 230, according to the keyword, searching a cutting requirement corresponding to the keyword from a preset corresponding relation table to obtain a cutting requirement of the food material to be processed; the preset corresponding relation table stores a plurality of keywords and cutting requirements corresponding to the keywords respectively.
Here, acquiring the keyword indicating the cutting action and/or the food material cutting state refers to traversing each step of the recipe information, and then finding out the keyword indicating the cutting action and/or the food material cutting state from each step. Here, a semantic recognition technique is employed, in which the semantic meaning of each word is analyzed to obtain a keyword indicating a cutting action and/or a cutting state of the food material.
Table 1 shows recipe information of the braised pork in brown sauce, and keywords indicating the cutting action and/or the cutting state of the food material are explained below with reference to table 1.
Table 1:
referring to table 1, it can be seen from table 1 that the food materials to be cut include streaky pork, green onion and ginger. The keywords for indicating the cutting action include "cut-in", and the keywords for indicating the cutting state of the food material include "2.5 cm", "square", "block", "onion section", and "ginger slice". Then, according to the obtained key words, the cutting requirements corresponding to the key words are searched from a preset corresponding relation table, so that the cutting requirements of the food materials to be processed are obtained. The cutting requirements comprise food material thickness requirements and/or food material shape requirements, namely the thickness and/or shape of the food material obtained after the food material is cut.
The above embodiment is explained below with reference to table 2, and table 2 shows a preset relationship correspondence table.
Table 2:
| keyword | Thickness requirement | Shape requirement |
| 2.5cm | 2.5cm | |
| Square block | Square block | |
| Ginger slice | 0.3mm | Sheet-like shape |
| Shredding | 0.1mm | Thread-like |
| Shallot section | 4cm | Strip shape |
Therefore, the keywords indicating the cutting action according to these include "cut-in", and the keywords indicating the cutting state of the food material include "2.5 cm", "square", "block", "onion section", and "ginger slice". It can be confirmed from table 2 that when the food material to be treated is streaky pork, the streaky pork is cut into a square shape having a thickness of 2.5 cm; when the food material to be processed is scallion, cutting the scallion into strips with the thickness of 4 cm; and when the food material to be treated is ginger, cutting the ginger into slices with the thickness of 0.3 mm.
Note that the thickness in the present embodiment refers to a cut from a cross section of the food material. Note that table 2 shows only a part of the keywords and the thickness and shape requirements corresponding to the keywords, and this embodiment will be described. In practical applications, other keywords, and the thickness requirement and the shape requirement of the food material corresponding to the keywords may be included.
In step 240, according to the cutting requirement of the food material to be processed, determining an operation mode of a food material cutting device, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement.
After the controller determines the cutting requirement of the food material to be processed, the thickness and/or shape requirement of the food material to be processed is determined. And then determining the operation mode of the food material cutting device according to the cutting requirement of the food material to be processed. The operation mode comprises a cutting knife and/or a die for cutting used by the food material cutting device, and the feeding speed of the food material, the cutting speed and the cutting angle of the knife. And the controller controls the food material cutting device to execute the operation mode to cut the food material to be processed according to the determined operation mode of the food material cutting device, and the food material to be processed is processed into the food material meeting the cutting requirement. For example, if the cutting requirement is to cut the streaky pork into a square shape with a thickness of 2.5cm, the operation mode of the food material cutting device is determined according to the requirement to cut the streaky pork into a square shape with a thickness of 2.5cm, so that the food material cutting device can process the streaky pork into a square shape with a thickness of 2.5 cm.
Wherein the cutting requirements comprise food material thickness requirements and/or food material shape requirements.
In an optional embodiment, in step 240, determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into a food material meeting the cutting requirement includes:
according to the food material thickness requirement, determining the speed of the food material cutting device for conveying the food material to be processed, controlling the food material cutting device to convey the food material according to the determined speed of conveying the food material to be processed, cutting the food material to be processed, and processing the food material to be processed into the food material meeting the food material thickness requirement.
Here, the cutting thickness of the food material depends on the feeding speed of the food material when the motor of the cutting tool of the food material cutting device is operated at a fixed rotational speed. Therefore, the speed at which the food material cutting device conveys the food material to be processed can be determined by the determined thickness requirement of the food material, so as to obtain the desired thickness of the food material. Taking the chopped green onion and the chopped green onion sections as examples, when the chopped green onion is cut, the speed of conveying the green onion by the food material cutting device is slower than the speed of conveying the green onion by the food material cutting device when the chopped green onion is cut, so that the thickness of the green onion is smaller, and the chopped green onion is obtained.
In an optional embodiment, in step 240, determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into a food material meeting the cutting requirement includes:
and determining a cutting tool and/or a cutter head model required by the food material cutting device according to the food material shape requirement, so as to control the food material cutting device to cut the food material to be processed by utilizing the determined cutting tool and/or cutter head model, and processing the food material to be processed into food material meeting the food material shape requirement.
Here, the cutting tool and/or cutter disc model required by the food material cutting device is determined according to the shape requirement of the food material. Here, different shapes of cutting tools may cut out food materials of different shapes of requirements. For example, when cutting wolf teeth potatoes, the cutter may be in the shape of a wolf tooth. The cutter head model is used for shaping the food material. For example, using a 3mm by 3mm to 8mm by 8mm knife-basin model, filaments, strips, and dices can be cut. For example, when cutting potato chips, a 3mm by 3mm model of a knife and a basin can be used to cut potato chips with a thickness of 3 mm. And controlling the food material cutting device to cut the food material to be processed by utilizing the determined cutting tool and/or cutter model, so that the food material to be processed can be cut into the requirements required by the menu.
In an optional embodiment, in step 240, determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into a food material meeting the cutting requirement includes:
according to the food material shape requirement, determining an angle between the food material cutting device and the food material to be processed, so as to control the food material cutting device to cut the food material to be processed according to the determined angle between the food material cutting device and the food material to be processed, and processing the food material to be processed into the food material meeting the food material shape requirement.
Here, the angle between the cutting knife of the food material cutting device and the food material to be processed may be such that the shape of the cut food material is differentiated. For example, when the cutting tool is at an angle of 45 ° to the food material to be processed, the cut food material may be diamond-shaped, i.e. chamfered.
In an optional embodiment, after the step 240, the food material processing method may further include:
acquiring hardness information of the food material to be processed from a preset database; the database stores hardness information corresponding to food materials with different names respectively;
judging whether a cutting tool currently installed on the food material cutting device is suitable for cutting the food material corresponding to the hardness information;
and when the cutting tool currently installed by the food material cutting device is not suitable for cutting the food material corresponding to the hardness information, the cutting tool currently installed by the food material cutting device is switched to the cutting tool corresponding to the hardness information.
Here, hardness information of the food material to be processed is acquired from a preset database, so as to determine whether the cutting tool currently installed by the food material cutting apparatus can be used for processing the food material to be processed. For example, when cutting vegetables and cutting bones, the hardness of the food material to be processed is different. If a cutting tool for cutting vegetables is used to cut bone, damage to the cutting tool is easily caused. If a bone-cutting knife is used to cut vegetables, the thickness of the cut vegetables is not well controlled because the bone-cutting knife is wider and more medial. Therefore, when the cutting tool currently installed on the food material cutting device is not suitable for cutting the food material corresponding to the hardness information, the cutting tool currently installed on the food material cutting device is switched to the cutting tool corresponding to the hardness information. Thereby preventing the cutting knife from being damaged or causing the cut food to be bad.
In an optional embodiment, in step 210, acquiring recipe information corresponding to the food material to be processed may include:
acquiring image information of food materials to be processed;
carrying out image recognition on the image information by utilizing a deep learning model to obtain the food material name of the food material to be processed;
and acquiring menu information corresponding to the food material name from a preset menu according to the food material name.
Here, the food material name of the food material to be processed can be obtained through an image recognition technology, so that the corresponding recipe can be determined by the food material name. The recipe information corresponding to the food material name may be a recipe determined in advance by a user. For example, a user inputs a recipe to be cooked into the vegetable cutting device, including a braised pork recipe and a beef recipe with double peppers, when the food material to be processed is placed into the vegetable cutting device, the recognition device shoots the food material to be processed, then the controller recognizes the shot image information, and determines the type of the food material to be processed. For example, when the type of the food material to be processed is streaky pork, the corresponding recipe information is a braised pork recipe.
Of course, when the recipe is not preset by the user, the controller displays the recommended recipe to the user according to the food material name after acquiring the food material name of the food material to be processed. The recipe is then determined according to the user's selection.
Wherein the deep learning model is constructed by the following steps:
acquiring a training sample set; each sample in the training sample set comprises a food material picture and a food material name corresponding to the food material picture, wherein the food material picture comprises a food material picture which is not subjected to peeling treatment and/or a food material picture which is subjected to peeling treatment;
and taking each sample as the input of the neural network model to be trained so as to train the neural network model to be trained, thereby obtaining the deep learning model.
Here, the food material pictures comprise food material pictures without peeling treatment and/or food material pictures with peeling treatment, so that the trained deep learning model can identify the food materials which are pretreated. For example, when cutting cucumber, the user has peeled the cucumber. At this time, the appearance of the cucumber food material is already changed, and if the training sample set does not include the peeled food material picture and the corresponding food material name, the food material picture and the corresponding food material name are likely to be unrecognizable. Therefore, the training set is used for training the neural network model to be trained; each sample in the training sample set comprises a food material picture and a food material name corresponding to the food material picture, wherein the food material picture comprises a food material picture which is not subjected to peeling treatment and/or a food material picture which is subjected to peeling treatment. The recognition effect of the deep learning model can be improved, so that the food material name of the food material to be processed can be accurately obtained.
In addition, in an optional embodiment, the method further comprises displaying the cutting process of the food material cutting device in an AR in a mobile terminal of the user, so that the user can master the whole dish processing process in real time.
For example, a user uses the mobile terminal to interconnect with the vegetable cutting equipment, and after the matching is successful, the product model of the vegetable cutting equipment and the corresponding information can be obtained from the company server;
meanwhile, the AR model of the vegetable cutting equipment can be displayed on the mobile terminal, and the AR model and various plug-ins can be downloaded, so that more functions can be acquired;
after the plug-in is downloaded successfully, various buttons can be seen on the mobile terminal, various cutters can be switched by clicking the buttons, and meanwhile AR models of the various cutters can be displayed on the mobile terminal, so that the user can feel realistic experience brought by future science and technology.
The user can record voice on the mobile terminal, and then the user can control the vegetable cutting equipment through the voice; the same user can intelligently start by using the mobile terminal, the vegetable cutting equipment can automatically identify the food materials through the mobile terminal, and then the vegetable cutting equipment can describe the cutting requirements of the vegetables in the menu to finish the cutting of the food materials; and displaying the video in a video playing mode on the mobile terminal;
the cut food materials can see a popup prompt in the mobile terminal to prompt that the cutting of the dish is finished, and the food materials are required to be moved to other places.
EXAMPLE III
According to an embodiment of the present invention, there is also provided a storage medium having program code stored thereon, which when executed by a processor, implements the food material processing method according to any one of the above embodiments.
Example four
According to an embodiment of the present invention, there is also provided a vegetable cutting device, including a memory, a controller and a food material cutting device, where the memory stores program codes, and when the program codes are executed by the controller, the food material processing method according to any one of the above embodiments is implemented to control the food material cutting device to cut food material to be processed.
The technical scheme of the invention is explained in detail with reference to the drawings, and in consideration of the fact that in the related art, the current automatic vegetable cutter is always in a fixed working mode or working modes, and the size, the shape, the thickness and the like of food materials cannot be accurately mastered. The invention provides a food material processing method, a storage medium and a vegetable cutting device, which are characterized in that the cutting requirement of a food material to be processed is determined according to the menu information corresponding to the food material to be processed, and then the operation mode of a food material cutting device is determined according to the cutting requirement of the food material to be processed, so that the food material cutting device executes the operation mode to cut the food material to be processed, and the food material to be processed is processed into the food material meeting the cutting requirement. The cutting requirements of different food materials can be met, and the food materials can be processed into the required appearance of a menu, so that the cooking is more scientific and simple. The technical problem that the food materials meeting the requirements can be accurately cut only by depending on experience and proficiency in the traditional vegetable cutting process is solved, the vegetable cutting automation is realized, and the vegetable cutting efficiency and the quality of vegetables are improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
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 (9)
1. A food material processing method, comprising:
acquiring menu information corresponding to food materials to be processed, including acquiring image information of the food materials to be processed; carrying out image recognition on the image information by utilizing a deep learning model to obtain the food material name of the food material to be processed; obtaining menu information corresponding to the food material name from a preset menu according to the food material name;
acquiring keywords for indicating a cutting action and/or a food material cutting state from the menu information;
according to the keywords, searching cutting requirements corresponding to the keywords from a preset corresponding relation table to obtain the cutting requirements of the food materials to be processed; the preset corresponding relation table stores a plurality of keywords and cutting requirements corresponding to the keywords respectively;
and determining an operation mode of a food material cutting device according to the cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and processing the food material to be processed into the food material meeting the cutting requirement.
2. Food material processing method as claimed in claim 1, characterized in that the cutting requirement comprises at least one of the following: the thickness requirement of the food material and the shape requirement of the food material.
3. The food material processing method as recited in claim 2, wherein determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and process the food material to be processed into a food material meeting the cutting requirement comprises:
according to the food material thickness requirement, determining the speed of the food material cutting device for conveying the food material to be processed, controlling the food material cutting device to convey the food material according to the determined speed of conveying the food material to be processed, cutting the food material to be processed, and processing the food material to be processed into the food material meeting the food material thickness requirement.
4. The food material processing method as recited in claim 2, wherein determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and process the food material to be processed into a food material meeting the cutting requirement comprises:
and determining a cutting tool and/or a cutter head model required by the food material cutting device according to the food material shape requirement, so as to control the food material cutting device to cut the food material to be processed by utilizing the determined cutting tool and/or cutter head model, and processing the food material to be processed into food material meeting the food material shape requirement.
5. The food material processing method as recited in claim 2, wherein determining an operation mode of a food material cutting device according to a cutting requirement of the food material to be processed, so as to control the food material cutting device to execute the operation mode to cut the food material to be processed, and process the food material to be processed into a food material meeting the cutting requirement comprises:
according to the food material shape requirement, determining an angle between the food material cutting device and the food material to be processed, so as to control the food material cutting device to cut the food material to be processed according to the determined angle between the food material cutting device and the food material to be processed, and processing the food material to be processed into the food material meeting the food material shape requirement.
6. The food material processing method of claim 1, further comprising:
acquiring hardness information of the food material to be processed from a preset database; the database stores hardness information corresponding to food materials with different names respectively;
judging whether a cutting tool currently installed on the food material cutting device is suitable for cutting the food material corresponding to the hardness information;
and when the cutting tool currently installed by the food material cutting device is not suitable for cutting the food material corresponding to the hardness information, the cutting tool currently installed by the food material cutting device is switched to the cutting tool corresponding to the hardness information.
7. The food material processing method of claim 1, wherein the deep learning model is constructed by:
acquiring a training sample set; each sample in the training sample set comprises a food material picture and a food material name corresponding to the food material picture, wherein the food material picture comprises a food material picture which is not subjected to peeling treatment and/or a food material picture which is subjected to peeling treatment;
and taking each sample as the input of the neural network model to be trained so as to train the neural network model to be trained, thereby obtaining the deep learning model.
8. A storage medium having program code stored thereon, wherein the program code realizes the food material processing method according to any one of claims 1 to 7 when executed by a processor.
9. A vegetable cutting device, characterized in that the vegetable cutting device comprises a memory, a controller and a food material cutting device, wherein the memory stores program codes, and when the program codes are executed by the controller, the program codes realize the food material processing method according to any one of claims 1 to 7 so as to control the food material cutting device to cut food materials to be processed.
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