Dish scoring system and method applied to meal machine

Abstract

The invention provides a dish scoring system and method applied to a meal machine, and belongs to the field of intelligent meal processing, and the method comprises the following steps: S1, obtaining a meal delivery type; s2, sequentially performing light distribution, noise removal and verification on the image to obtain a first score; s3, obtaining food evaluation of the user as a second score, including obtaining scores of an order placing user and a food taking user on a food scoring column popped up on a screen; s4, obtaining a first score and a second score made for the same meal on the meal machine at the same time node at multiple positions, and adjusting a meal making process in combination with meal suggestions; and S5, performing independent iteration on the first score and the second score at different time nodes, inputting a depth calibration model to calculate normal distribution of each score, determining a putting position of a meal machine according to a proportion of a time period score mean value, collecting meal evaluation of the users in the district through the meal machine, obtaining meal preferences of the users in the district, and obtaining the meal preferences of the users in the district. And reference is provided for subsequent feeding of the meal machines in all the districts.

Description

Technical Field

[0001] This manual relates to the field of intelligent food preparation applications, and in particular to a food scoring system and method for use in food preparation machines. Background Technology

[0002] In the catering industry, recommending dishes that satisfy the diverse tastes of customers has always been a goal. Because each restaurant has its own unique flavor and characteristics, and diners' preferences, group sizes, and dining standards vary, it is difficult to find a universally applicable method to meet the dining needs of every restaurant and every customer.

[0003] Today, with the widespread adoption of large-scale automated food processing equipment, vending machines are widely used in commercial centers, schools, hospitals, transportation hubs such as train stations and airports, as well as in canteens of enterprises and institutions. For many, vending machines offer a convenient, practical, hygienic, and fast way to dine, enabling intelligent food preparation, inventory management, and payment processing, making them increasingly popular with both restaurateurs and consumers. The market demand for vending machines is substantial, and major manufacturers are increasingly focusing on research and development, launching more intelligent products to meet diverse consumer needs. In the future, vending machines are expected to become increasingly convenient, practical, energy-efficient, and environmentally friendly, providing reliable catering solutions for more people.

[0004] In the existing field of food vending machines, such as patent technology with patent number CN111728470A entitled "Food Vending Machine," a food vending machine is disclosed, including a vending machine body, a feeding device, a processing device, a conveying device, and control components. The processing device includes a cooking mechanism, the feeding device is capable of storing and outputting a first ingredient to the cooking mechanism, and the cooking mechanism is capable of processing the first ingredient; the conveying device includes a conveying mechanism and a receiving component, the receiving component being capable of moving along a first direction and a second direction on the conveying mechanism. The cooking mechanism processes the first ingredient, and the transfer mechanism moves the receiving component to the corresponding position in the cooking mechanism so that the cooked first ingredient can enter the food container on the receiving component. Since the receiving component can move along the first and second directions, it can ensure that the cooked first ingredient falls into the preset position in the food container, ensuring the consistency of the position and making the products produced before and after consistent, so that consumers have a unified impression of the products. The patent details the design of the ingredient processing process to ensure the cooking speed. However, the food machine cannot adjust the cooking method according to the user's dining feedback. It only produces a single product, which makes it difficult to maintain the long-term sales of the food machine.

[0005] Therefore, there is a need to provide a food scoring system and method for food vending machines, which can collect user feedback, make timely adjustments, and continuously improve the food. Summary of the Invention

[0006] One embodiment of this specification provides a method for scoring dishes in a food vending machine. The method scores the dishes by combining image recording, user reviews, and other factors, and determines the subsequent deployment of food carts based on the scores, thereby achieving precise deployment of food carts.

[0007] In some embodiments, a method for scoring dishes applied to a food processor includes the following steps: S1: Obtain the type of meal served, and determine the sampling method based on the type of meal served. The sampling method is based on obtaining images of the meal served at different times and locations. S2: The image is sequentially processed through light matching, noise reduction, and verification to obtain the first score. Light matching includes supplemental lighting of the food based on the same position, angle, and light source. Noise reduction includes removing reflective areas from the image. Verification includes matching the image with standard thresholds in the image library to obtain the first score of image overlap. S3: Obtain user reviews of the food as the second score, including the scores given by the ordering user and the user picking up the food to the pop-up food rating column on the screen. The rating column also includes user information, identity verification and food suggestions. S4: Obtain the first and second scores for the same food item from multiple locations at the same time point, and adjust the food preparation process based on the food item suggestions, including the preparation process, preparation time, sauce ratio, and sauce addition time; S5: Iterate the first and second scores at different time points separately, input the depth calibration model to calculate the normal distribution of each score, and determine the placement location of the food machine based on the proportion of the average score over the time period.

[0008] Furthermore, the type of meal served in S1 is determined based on the recipes of the meals obtained from the background, including stir-frying, steaming, and ready-to-eat meals. The sampling method in S1 is set at the serving port, the stir-frying end, the steaming end, and the conveying end.

[0009] Furthermore, in S2, the light distribution includes installing a camera device, a defogging device, and a lighting device inside the food machine, using the lighting device to supplement the light on the food, and using the defogging device to adsorb the steam generated by the food. The noise reduction includes viewing the image until the size of the food is preserved, and removing reflective areas on the image based on blur.

[0010] Furthermore, each of the food vending machines is equipped with a unique identifiable code, which is associated with its dispensing location. Based on the location of each round of dispensing, a corresponding code is obtained and stored, and the food vending machine stores its historical codes.

[0011] Furthermore, the food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the soup and beverage preparation equipment on the food machine, which includes a wall-breaking heating mechanism, a constant temperature heating pot, a water tank, and a refrigeration mechanism.

[0012] Furthermore, the meal machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the porridge-making equipment on the meal machine, which includes a porridge pot, a porridge steam generator, and a storage compartment.

[0013] Furthermore, the food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the auxiliary material linkage storage and conveying mechanism, dough mixing mechanism, dumpling making mechanism, filling cutting and mixing mechanism, frying pan lifting mechanism, steam generator, cleaning pan mechanism, and refrigeration and preservation device on the food machine.

[0014] In some embodiments, a food scoring system applied to a food processor includes a dumpling machine, a display unit and a control unit disposed on the dumpling machine. The display unit includes a scoring system. The food processor includes a frame, with a first layer and a second layer disposed from bottom to top. The first layer includes a clean water tank, a wastewater tank, a control unit, and a steam generator. The second layer includes a display unit, a dough mixing mechanism, a dumpling making mechanism, a heating pot lid lifting mechanism, a heating pot lid flipping mechanism, a pot cleaning mechanism, a frying pan lifting mechanism, a frying pan moving mechanism, a power supply, a powder hopper bottom plate lifting mechanism, a powder storage and conveying mechanism, a filling cutting and mixing mechanism, and an auxiliary material linkage storage and conveying mechanism.

[0015] Furthermore, the control unit executes instructions based on the display unit, including increasing or decreasing the cooking time, increasing or decreasing the amount of filling, increasing or decreasing the amount of seasoning, increasing or decreasing the weight of a single dumpling wrapper, increasing or decreasing the steaming time, and increasing or decreasing the number of dumplings.

[0016] Furthermore, the control unit executes one or more tasks based on instructions and stores the task log in the display unit.

[0017] The beneficial effects of this invention are: 1. It can collect diners' evaluations of the food, summarize the feedback, and then adjust the internal structure of the food machine to change the food preparation process and update the taste of the food. 2. Collect dining reviews from users in the area through the food vending machines to determine their dining preferences and provide a reference for the subsequent deployment of food vending machines in other areas; 3. By combining machine learning with diners' evaluations, we ensure that the scores obtained for the meals are more objective and more worthy of adoption and modification. Attached Figure Description

[0018] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein: Figure 1 This is a schematic diagram of a scoring system according to some embodiments of this specification; Figure 2 This is a schematic diagram illustrating the working principle of the scoring system according to some embodiments of this specification; Figure 3 This is a schematic diagram of a dumpling machine according to some embodiments of this specification; Figure 4 This is a schematic diagram of a camera according to some embodiments of this specification.

[0019] Explanation of reference numerals in the attached drawings: 1. Molding component; 13. Powder hopper bottom plate lifting mechanism; 18. Auxiliary material linkage storage and conveying mechanism; 26. Dumpling making mechanism; 27. Frame; 28. Filling cutting and mixing mechanism; 29. ​​Powder storage and conveying mechanism; 30. Clean water tank; 31. Steam generator; 32. Wastewater tank; 34. Wheel set; 35. Refrigeration and preservation device; 36. Power supply; 37. Control unit; 38. Display unit; 4. Dough mixing mechanism; 46. Frying pan moving mechanism; 47. Frying pan lifting mechanism; 48. Frying pan; 49. Heating lid lifting mechanism; 50. Heating lid flipping mechanism; 52. Cleaning pan structure; 53. Camera; 54. Fill light. Implementation

[0020] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0021] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

[0022] As indicated in this specification and claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" do not specifically refer to the singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of expressly identified steps and elements, which do not constitute an exclusive list, and the method or apparatus may also include other steps or elements.

[0023] Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the steps can be processed in reverse order or simultaneously. Furthermore, other operations can be added to these processes, or one or more steps can be removed from them. Example

[0024] Please refer to Figure 1 This embodiment is based on a food scoring method applied to a food vending machine, and includes the following steps: S1: Obtain the type of meal served, and determine the sampling method based on the type of meal served. The sampling method is based on obtaining images of the meal served at different times and locations. S2: The image is sequentially processed through light matching, noise reduction, and verification to obtain the first score. Light matching includes supplemental lighting of the food based on the same position, angle, and light source. Noise reduction includes removing reflective areas from the image. Verification includes matching the image with standard thresholds in the image library to obtain the first score of image overlap. S3: Obtain user reviews of the food as the second score, including the scores given by the ordering user and the user picking up the food to the pop-up food rating column on the screen. The rating column also includes user information, identity verification and food suggestions. S4: Obtain the first and second scores of the same food item from multiple locations at the same time point, and adjust the food preparation process based on the food item suggestions, including the preparation process, preparation time, sauce ratio, sauce addition time, staple food ratio, and seasoning ratio. S5: Iterate the first and second scores at different time points separately, input the depth calibration model to calculate the normal distribution of each score, and determine the placement location of the food machine based on the proportion of the average score over the time period.

[0025] It is worth noting that there is no restriction on the order of steps S1-S4. The model calculation and processing in S5 are carried out by combining the evaluations of diners with the images of the food.

[0026] It is worth noting that the type of meal served in S1 is determined based on the recipes of the meals obtained from the backend, including stir-frying, steaming, and ready-to-eat meals. The sampling method in S1 is set at the serving port, the stir-frying end, the steaming end, and the conveying end.

[0027] It is worth noting that the proportions of sauces and seasonings in this embodiment are all measured using a uniform unit of measurement, including but not limited to using a standard measuring spoon, standard measuring cup, and standard dropper. The types of sauces and seasonings are all recorded in the display unit. The seasonings added to the dish are adjusted according to the diner's evaluation, including but not limited to salt, MSG, chicken essence, fish-flavored sauce, chili oil, oyster sauce, broad bean paste, cooking oil, white sugar, thickening sauce, vinegar, and coloring sauce.

[0028] It is worth noting that food processing machines have a wide range of applications and can prepare different types of meals, such as noodles, steamed buns, dumplings, soy milk, and stir-fries commonly found in the market. The time for image acquisition varies depending on the type of meal. For example, for hot meals such as steamed buns, dumplings, and stir-fries, it is necessary to monitor their appearance immediately after preparation. As these meals reach the serving outlet, due to cooling, the shape of hot meals may undergo uncertain changes such as collapse, condensation, swelling, and oxidation. Therefore, camera devices (camera 53) are installed at different locations within the food processing machine to acquire images of the meals. This is to ensure effective monitoring throughout the entire process. If a meal receives a low rating from a user, the root cause of the problem during meal preparation can be directly identified through the images.

[0029] It is worth noting that corresponding recording devices can be set up before, during, and after food preparation. In this embodiment, the devices can be set up above the frying pan, above the filling cutter and mixer, and above the serving spout to capture images of the food at different stages, and then match these images with standard threshold images.

[0030] In this embodiment, the standard threshold image used is a meal produced by the food processing machine of this series under specific processing parameters (including but not limited to temperature, processing time, seasoning ratio, filling formula, etc.), and the photo of the meal is used as the standard threshold image.

[0031] In S2, please refer to Figure 4 The light distribution includes installing a camera device, a defogging device, and a lighting device inside the food machine, using the lighting device (fill light 54) to supplement the food, and using the defogging device to adsorb the steam generated by the food. The noise reduction includes viewing the image until the size of the food is preserved, and removing reflective areas on the image based on blur.

[0032] It is worth noting that each of the food machines is equipped with a unique identifiable code, which is associated with its dispensing location. Based on the location of each round of dispensing, the corresponding code is obtained and stored. The food machine also stores its historical codes.

[0033] It is worth noting that the images of the food are used to match the standard images of the food. In order to reduce the interference caused by non-food factors when comparing the two, non-food content in the images is removed by means of light distribution, noise reduction and other methods, including but not limited to removing the content of the picture other than the food by cropping to a fixed size. Considering that the light inside the food camera is relatively dim, supplemental lighting is provided by a light source before shooting to ensure that each sampled picture is under the same light intensity.

[0034] It is worth noting that, please refer to Figure 2 In step S5, considering that diners' tastes change with each season and time period, collecting user reviews from food trucks at different time points can more comprehensively define whether the food truck's placement is reasonable and whether it can drive more food consumption. For the same dish, such as dumplings produced by the food truck in this embodiment, the sales volume, user reviews, and dumpling images captured at multiple time points throughout the year are collected. The first and second scores obtained from multiple time points are used to evaluate the dish and whether the food truck's placement is reasonable.

[0035] It's worth noting that, for example, the second score for dumplings is significantly higher in winter than in summer, so the number of dumpling machines in cities could be increased in winter. Also, the second score for dumplings near older neighborhoods is significantly higher than in newer neighborhoods, so the number of dumpling machines near older neighborhoods could be increased or decreased.

[0036] It is worth noting that the first score is calculated based on the overlap of color blocks in the image; the higher the overlap, the higher the score. The second score is based on the score given by diners within the maximum score of 100, according to their dining experience. In S4, diners also leave suggestions for the food while giving the second score. These suggestions are stored electronically in the display unit. The content of the suggestions is determined through existing semantic analysis methods such as keyword extraction. Furthermore, the age and gender of the rater are determined through the input of user information, further quantifying the rating group corresponding to the food.

[0037] It is worth noting that the calculation process of the depth calibration model in S5 includes a probability density function. The first score, the second score, and the sum of the first and second scores are calculated using the standard deviation and expected value. The appearance of the meal produced by the food machine and the user's preference for the meal are determined by the probability distribution.

[0038] It is worth noting that the food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the auxiliary material linkage storage and conveying mechanism, dough mixing mechanism, dumpling making mechanism, filling cutting and mixing mechanism, frying pan lifting mechanism, steam generator, cleaning pan mechanism, and refrigeration and preservation device on the food machine.

[0039] In summary, the scoring system of this embodiment can summarize the scores of the dishes, and evaluate them based on their color, aroma, and taste. The color of the dishes is captured by a camera device, while the aroma and taste are evaluated by diners. The scores of these two aspects are calculated separately, which can reveal the correlation between the appearance of the dishes and user evaluations. Furthermore, by summarizing data from multiple time points, the target audience of the food vending machine at different times can be identified, which is beneficial for the subsequent placement of the food vending machine. Example

[0040] This embodiment is a further optimization based on embodiment 1, including a food scoring system for a food service machine. It includes a dumpling food service machine, a display unit and a control unit mounted on the machine. The display unit includes a scoring system. The food service machine includes a frame with a first layer and a second layer arranged from bottom to top. The first layer includes a clean water tank 30, a wastewater tank 32, a control unit 37, and a steam generator 31. The second layer includes a display unit 38, a dough mixing mechanism 4, a dumpling making mechanism 26, a heating pot lid lifting mechanism 49, a heating pot lid flipping mechanism 50, a pot cleaning mechanism 52, a frying pan lifting mechanism 47, a frying pan moving mechanism 46, a power supply 36, a powder hopper bottom plate lifting mechanism 13, a powder storage and conveying mechanism 29, a filling cutting and mixing mechanism 28, and an auxiliary material linked storage and conveying mechanism 18.

[0041] It is worth noting that, please refer to Figure 3 The preferred meal preparation equipment for this application, applied to the method of Embodiment 1, includes, but is not limited to, bread machines, noodle machines, soy milk machines, stir-fry machines, steamed bun machines, soup machines, porridge machines, and steamed bread machines, in addition to dumpling machines. Due to the different types of meals produced, the sampling of the meals is also different, and the location of the equipment inside the meal preparation machine also varies accordingly. However, the purpose is to capture the appearance, color, and quantity of the meals through cameras. Different types of meal preparation machines referencing the above-mentioned technical means are all within the protection scope of this invention.

[0042] It is worth noting that the control unit executes instructions based on the display unit, including increasing or decreasing the cooking time, increasing or decreasing the amount of filling, increasing or decreasing the amount of seasoning, increasing or decreasing the weight of a single dumpling wrapper, increasing or decreasing the steaming time, and increasing or decreasing the number of dumplings.

[0043] The control unit executes one or more tasks based on instructions and stores the task log in the display unit.

[0044] It is worth noting that the above-mentioned processing components are all electrical components, motors, suction components, moving components, etc. driven by instructions. Existing conventional execution components can be used. Only the overall components and the instructions executed on the overall execution display unit are within the protection scope of this invention. Therefore, the specific execution working principle of the components will not be described here.

[0045] It is worth noting that the scoring system of this food vending machine can provide a reference for the location selection, number of food vending machines, and types of food sold by the machine, which has great significance for market promotion.

[0046] In summary, this embodiment applies a scoring system to a smart dumpling machine. By acquiring the internal structure of the dumpling machine and connecting the instructions of the display unit, the drive of the control unit, and various components, the dumpling making process can be adjusted more quickly based on the first score and the second score. Example

[0047] It is worth noting that the food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the soup and beverage making equipment on the food machine. The equipment includes a wall-breaking heating mechanism, a constant temperature heating pot, a water tank, and a cooling mechanism. This embodiment extends from Embodiment 1 to the intelligent manufacturing of the soup and beverage food machine. The soup and beverage making equipment includes a wall-breaking heating mechanism, a constant temperature heating pot, a water tank, and a cooling mechanism. The above-mentioned equipment enables the heating and making of seaweed and egg drop soup, various beverages, etc. The focus of this application is that the scoring system makes corresponding adjustments to match the soup and beverage machine. For example, when scoring, users may make new suggestions on the concentration, temperature, particle size, taste, and type of the soup and beverage. The working time and frequency of the corresponding wall-breaking heating mechanism, constant temperature heating pot, water tank, and cooling mechanism are adjusted through the scoring feedback. Example

[0048] It is worth noting that the food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the porridge-making equipment on the food machine, which includes a porridge pot, a porridge steam generator, and a storage compartment. Based on Example 1, this extends to the intelligent control of the porridge-making machine. Similarly, when rating, users can add corresponding rating features to the porridge's viscosity, solid content, temperature, and quantity, in addition to those in Example 1. The system will also drive the operation of the porridge pot, the porridge steam generator, and the storage compartment based on user feedback, which will not be elaborated here.

[0049] It should be noted that the display unit is provided for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art will be able to make various modifications or variations based on the description in this specification, such as with touchscreens. However, these changes and modifications will not depart from the scope of this specification.

[0050] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are suggested in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

[0051] Furthermore, this specification uses specific terms to describe embodiments thereof. For example, "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "an embodiment," "one embodiment," or "an alternative embodiment" in different locations throughout this specification do not necessarily refer to the same embodiment. Moreover, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0052] Furthermore, unless expressly stated in the claims, the order of processing elements and sequences, the use of numbers and letters, or other names described in this specification are not intended to limit the order of the processes and methods described herein. Although various examples have been discussed in the foregoing disclosure of some embodiments of the invention that are currently considered useful, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments; rather, the claims are intended to cover all modifications and equivalent combinations that conform to the spirit and scope of the embodiments described herein. For example, while the system components described above can be implemented using hardware devices, they can also be implemented solely using software solutions, such as installing the described system on existing servers or mobile devices.

[0053] Similarly, it should be noted that, in order to simplify the description disclosed herein and thus aid in the understanding of one or more embodiments of the invention, the foregoing description of embodiments in this specification may sometimes combine multiple features into a single embodiment, drawing, or description thereof. However, this method of disclosure does not imply that the subject matter of this specification requires more features than those mentioned in the claims. In fact, the embodiments contain fewer features than all the features of a single embodiment disclosed above.

[0054] Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments described herein. Other variations may also fall within the scope of this specification. Therefore, alternative configurations of the embodiments described herein are intended to be illustrative rather than limiting, and are considered consistent with the teachings of this specification. Accordingly, the embodiments described herein are not limited to those explicitly introduced and described herein.

Claims

1. A method for scoring dishes in a food vending machine, characterized in that, Includes the following steps: S1: Obtain the type of meal served, and determine the sampling method based on the type of meal served. The sampling method is based on obtaining images of the meal served at different times and locations. S2: The image is sequentially processed through light matching, noise reduction, and verification to obtain the first score. Light matching includes supplemental lighting of the food based on the same position, angle, and light source. Noise reduction includes removing reflective areas from the image. Verification includes matching the image with standard thresholds in the image library to obtain the first score of image overlap. S3: Obtain user reviews of the food as the second score, including the scores given by the ordering user and the user picking up the food to the pop-up food rating column on the screen. The rating column also includes user information, identity verification and food suggestions. S4: Obtain the first and second scores for the same dish from multiple locations at the same time point, and adjust the dish preparation process based on the dish suggestions, including the preparation process, preparation time, sauce ratio, sauce addition time, seasoning ratio, and staple food ratio. S5: Iterate the first and second scores at different time points separately, input the depth calibration model to calculate the normal distribution of each score, and determine the placement location of the food machine based on the proportion of the average score over the time period.

2. The method for scoring dishes in a food processor according to claim 1, characterized in that, The type of food served in S1 is determined based on the recipes of the food obtained from the background, including stir-frying, steaming, and ready-to-eat. The sampling method in S1 is set at the food serving port, the stir-frying end, the steaming end, and the conveying end.

3. The method for scoring dishes in a food processor according to claim 2, characterized in that, In S2, the light distribution includes installing a camera device, a defogging device, and a lighting device inside the food machine, using the lighting device to supplement the light on the food, and using the defogging device to adsorb the steam generated by the food. The noise reduction includes viewing the image until the size of the food is preserved, and removing reflective areas on the image based on blur.

4. The method for scoring dishes in a food processor according to claim 3, characterized in that, Each food vending machine is equipped with a unique identifiable code, which is associated with its dispensing location. The corresponding code is obtained and stored based on the dispensing location in each round, and the food vending machine stores its historical codes.

5. A method for scoring dishes in a food processor according to any one of claims 1-4, characterized in that, The food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the soup and beverage preparation equipment on the food machine, which includes a wall-breaking heating mechanism, a constant temperature heating pot, a water tank, and a refrigeration mechanism.

6. A method for scoring dishes in a food processor according to any one of claims 1-4, characterized in that, The food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the porridge making equipment on the food machine, which includes a porridge pot, a porridge steam generator, and a storage compartment.

7. A method for scoring dishes in a food processor according to any one of claims 1-4, characterized in that, The food machine is equipped with a display unit and a control unit. The display unit is used for human-computer interaction. By triggering the corresponding module on the display unit, the control unit executes the corresponding function. The control unit is associated with the auxiliary material linkage storage and conveying mechanism (18), dough kneading mechanism (4), dumpling making mechanism (26), filling cutting and stirring mechanism (28), frying pan lifting mechanism (47), steam generator (31), cleaning pot mechanism (52), and refrigeration and preservation device on the food machine.

8. A food scoring system for a food vending machine, applied to the food scoring method for a food vending machine as described in claim 7, characterized in that, The device includes a dumpling machine, a display unit and a control unit mounted on the dumpling machine. The display unit includes a scoring system. The machine includes a frame with a first layer and a second layer arranged from bottom to top. The first layer includes a clean water tank (30), a wastewater tank (32), a control unit (37), and a steam generator (31). The second layer includes a display unit (38), a dough mixing mechanism (4), a dumpling making mechanism (26), a heating pot lid lifting mechanism (47), a heating pot lid flipping mechanism (50), a pot cleaning mechanism (52), a frying pan lifting mechanism (47), a frying pan moving mechanism (46), a power supply (36), a powder hopper bottom plate lifting mechanism (13), a powder storage and conveying mechanism (29), a filling cutting and mixing mechanism (28), and an auxiliary material linkage storage and conveying mechanism (18).

9. A food scoring system for a food vending machine according to claim 5, characterized in that, The control unit executes instructions based on the display unit, including increasing or decreasing cooking time, increasing or decreasing filling amount, increasing or decreasing seasoning, increasing or decreasing the weight of a single dumpling wrapper, increasing or decreasing steaming time, and increasing or decreasing the number of dumplings.

10. A food scoring system for a food vending machine according to claim 1, characterized in that, The control unit executes one or more tasks based on instructions and stores the task log in the display unit.

Images