Food 3D printing intelligent decision system with real-time detection function

Abstract

The present application belongs to the technical field of food 3D printing, and particularly relates to a food 3D printing intelligent decision system with real-time detection function; the visual technology is combined with a 3D printing production line, image information and physical and chemical information of a printing material are collected through a first information collection module, the material type is identified and printing parameters are matched; temperature, printing speed and angle information of the printing material at a printing nozzle are obtained through a second information collection device, whether the printing process parameters and temperature information of the current printing product match the existing set printing parameter information in the second storage module is detected and analyzed in real time, corresponding instruction information is output according to the matching result, and the second information storage module is stored; an integrated control module receives the instruction output by the second information storage module in real time to control the opening or suspension of the electromagnetic induction heater and the 3D printer. The 3D printer is intelligentized, the defective product rate of the 3D printed food is effectively reduced, and resource waste is reduced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of food 3D printing, and particularly relates to a food 3D printing intelligent decision system with a real-time detection function. BACKGROUND

[0002] 3D printing technology, also known as additive manufacturing technology, is a technology that uses high-energy beam sources or other means to stack and bond liquid, semi-liquid and other special materials layer by layer based on a digital three-dimensional CAD model design file. With the continuous acceleration of people's life pace and the increasing demand for food nutrition, food 3D printing technology has attracted more and more attention.

[0003] The 3D printing technology in the food field can produce food with different nutritional ingredients according to the needs of the target population, and can meet the nutritional needs of different populations. However, in the actual production process, many foods are often composed of multiple raw materials, and the physical and chemical properties of different printing raw materials and the hot forming conditions are different, resulting in uneven quality of printed products, material waste and low printing efficiency. In addition, workers often need to manually set printing parameters according to the type of material during production, which is time-consuming and labor-intensive. Therefore, how to reduce the defective rate of 3D printed food, improve the printing efficiency and reduce the labor cost is a difficult problem to be solved in the current food 3D industry.

[0004] Patent CN 109007945 A provides a collaborative precision nutrition food 3D printing system and method to solve the problems that existing food 3D printers are difficult to process nutritionally balanced food composed of multiple raw materials and need manual replacement of the barrel, thereby affecting the automation processing efficiency. The invention realizes the automatic printing of food systems composed of multiple raw materials, but it cannot detect the quality of the printed food in real time, adjust the printing parameters according to the food quality, and has low intelligence. There is also a literature that discloses a food automation detection and processing system and method for a 3D food printer, which mainly records and supervises the production, packaging and coding process of 3D food. Quality detection can only be carried out after printing is completed, the program operation is relatively complicated, and the efficiency is not high.

[0005] Although there is no relevant research on the device and system for 3D food printing of multiple raw materials at present, the production efficiency and the quality of the printed products are improved to a certain extent; but in the industrialized 3D printing process, the material type cannot be intelligently identified, the printing process cannot be detected in real time, real-time feedback optimization cannot be realized, and the problems of waste of printing materials and improvement of production efficiency cannot be solved. Therefore, the development of an intelligent identification of printing materials and real-time detection of product quality in the food 3D printing process will effectively improve the production efficiency and product quality of the food 3D printing industry, reduce resource waste, and promote the further development of the industry. SUMMARY

[0006] In view of the above problems, the present application aims to solve one of the problems, and provides a food 3D printing intelligent decision system with real-time detection function, so as to solve the problem of low product quality and low printing efficiency of printed food caused by mismatching of printing parameters in the food 3D printing process, thereby effectively reducing resource waste and promoting the development of food 3D printing industry.

[0007] The present application provides a food 3D printing intelligent decision system with real-time detection function, comprising: a first information analysis unit and a second information analysis unit.

[0008] The first information analysis unit is a food 3D printing production line with electromagnetic induction heating device; the first information analysis unit comprises a first information acquisition module, a first information analysis and comparison module and a first information storage module; when the printing material enters the food 3D printing production line with electromagnetic induction heating device, the first information acquisition module acquires the image information and physicochemical information of the printing material and stores them in the first information storage module, and the first information analysis and comparison module analyzes the type information of the printing material according to the information stored in the first information storage module and stores the corresponding reference printing process information in the first information storage module.

[0009] Preferably, the first information acquisition module comprises a physicochemical analyzer, a first image acquisition device, a first image recognition device connected to the first image acquisition device, and a first interaction device connected to the first image recognition device and the physicochemical analyzer.

[0010] The first image acquisition device acquires the image information of the printing material and transmits the image information to the first image recognition device, the first image recognition device analyzes and judges the image information and transmits the information recognition result of the printing material to the first interaction device, the physicochemical analyzer transmits the collected physicochemical information of the printing material to the first interaction device, and the first interaction device outputs the recognition results of the image recognition device and the physicochemical analyzer.

[0011] Preferably, the physicochemical information includes rheological properties and dielectric properties.

[0012] Preferably, the first information analysis and comparison module is a computer equipped with analysis software.

[0013] Preferably, the printing process information stored in the first information storage module includes jet speed, jet angle, heating mode, heating time and heating temperature.

[0014] The food 3D printing production line with the electromagnetic induction heating device comprises an electromagnetic induction heating device, a food 3D printer and an integrated control module; the electromagnetic induction heating device, the food 3D printer and the integrated control module are electrically connected; the food 3D printer is provided with a printing nozzle and a storage bin; the current printing process parameters in the first information storage module are downloaded by the integrated control module, and a control signal is transmitted to the electromagnetic induction heating device and the food 3D printer, so that the electromagnetic induction heating device and the food 3D printer are started to work.

[0015] The second information analysis unit collects the image and temperature information of the printing material sprayed from the printing nozzle of the food 3D printer; the second information analysis unit comprises a second information collection module, a second information analysis and comparison module and a second information storage module; the second information collection module of the second information analysis unit stores the collected image and temperature information of the product sprayed from the printing nozzle into the second information storage module; the second information analysis and comparison module analyzes the product image and temperature information stored in the second information storage module to calculate the printing process parameter information of the printed product, and then analyzes and compares the printing process parameter information with the set process parameter information in the second storage module;

[0016] If the current parameters match the set parameters, the second information analysis and comparison module outputs "Yes" instruction information and stores it into the second storage module; if the current printing parameters do not match the set parameters, the second information analysis and comparison module outputs "No" instruction information and stores it into the second storage module; the integrated control module downloads the instruction information in the second storage module to start or terminate the food 3D printer and the electromagnetic induction heating device;

[0017] Preferably, the second information collection module comprises a temperature sensor, a second image collection device, a second image recognition device connected to the second image collection device, and a second interaction device connected to the second image recognition device and the temperature sensor; the second image collection device collects image information of the printing material and transmits the image information to the second image recognition device; the second image recognition device analyzes and judges the image information and transmits the information recognition result of the printing material to the second interaction device; the temperature sensor transmits the collected temperature information of the printing material to the second interaction device; and the second interaction device outputs the recognition results of the second image recognition device and the temperature sensor.

[0018] Preferably, the second information analysis and comparison module is a computer loaded with analysis software.

[0019] Beneficial effects:

[0020] The application combines machine vision technology with a food 3D printing production line with an electromagnetic induction heating device, acquires image information and physical and chemical information of printing materials in a storage bin through a first information acquisition module, intelligently identifies the types of the printing materials and matches printing parameters. Related data of the temperature, printing speed and angle of the printing materials at a printing nozzle are acquired through a second information acquisition device, whether the printing process parameter information and temperature information of the current printing product match the existing set printing parameter information and temperature information in the second storage module is detected and analyzed in real time, and different instructions are output according to the matching results, and the instruction information is stored in the second information storage module. The integrated control module in the food 3D printing production line with the electromagnetic induction heating device accepts the instructions output by the second information storage module in real time to control the opening or suspension of the electromagnetic induction heater and the food 3D printer.

[0021] The food intelligent 3D printing system with'machine vision' of the application can not only intelligently identify the types of the printing materials and match the printing parameters, but also can detect the printing speed, angle and temperature of the printing materials in real time to optimize the printing parameters in real time and control the printing process.

[0022] The food 3D printing intelligent decision system with real-time detection function and the method thereof of the application can intelligently identify the types of the printing materials, detect the product quality of the 3D printed food in the printing process in real time, realize the intelligentization of the food 3D printer, effectively reduce the substandard product rate of the 3D printed food and reduce resource waste. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 A flowchart of an embodiment for acquiring printing material information by the first information acquisition module of the application.

[0024] Figure 2 A flowchart of an embodiment for acquiring printing material information by the second information acquisition module of the application.

[0025] Figure 3 A system food 3D printing process diagram of the application. DETAILED DESCRIPTION

[0026] To make the objectives, technical solutions and advantages of the application clearer, the technical solutions of the application will be described clearly and completely below by combining the embodiments of the application with the corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the application, but not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0027] Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as those commonly understood by one of ordinary skill in the art to which this application pertains. Although preferred methods are described herein, any method similar or equivalent to those described herein can be used in the practice or testing of the present application. All documents mentioned herein are incorporated by reference to disclose and describe in full the methods and / or materials which are described herein. In case of conflict between the content of the specification and that of any document incorporated herein by reference, the content of the specification prevails.

[0028] As used herein, the terms "comprise", "comprising", "include", "including", "have", "having" or the like are open-ended and allow for the inclusion of not only the recited features but also other features.

[0029] Example 1:

[0030] According to an embodiment of the present application, an intelligent decision-making method for cooking process parameters based on the characteristics and proportion of mixed grain rice raw materials is provided, as shown in Figure 1 The first information acquisition module of the present application acquires the process flow diagram of an embodiment of the printing material information acquisition method, which can include steps S101 to S104.

[0031] At step S101, the first information acquisition module acquires image information and physicochemical index information of the printing material loaded into the storage bin; specifically, the operation of acquiring image information of the printing material is performed by the first image acquisition device and the physicochemical analyzer arranged inside the food 3D printing production line with electromagnetic induction heating device, and then the image information is sent to the food 3D printing production line with electromagnetic induction heating device.

[0032] At step S101, the printing material includes chocolate, egg batter, plant gel, carrageenan, pectin, mashed potatoes, meat paste, bean paste or rice flour.

[0033] At step S102, the first information analysis and comparison module performs noise reduction and pretreatment on the image.

[0034] At step S103, the first information analysis and comparison module performs CNN algorithm and deep learning AI algorithm processing on the preprocessed printing material image, extracts the printing material characteristic parameters as the characteristic information of the current printing material, and matches the category information of the current printing material.

[0035] Specifically: by analyzing and extracting the effective data of the image, including obtaining the effective data of the image by processing the image, such as noise reduction and background weakening in image preprocessing, extraction, interference removal, CNN algorithm operation, and extraction of printing material feature parameters in printing material image analysis; in the result output, the extracted feature parameters are compared with the pre-stored in the database, so as to match the raw material type information of the corresponding printing material;

[0036] At step S104, the physical and chemical information and the printing process parameter information of the printing material are output to the first information storage module as the characteristic information of the current printing material.

[0037] Therefore, by pre-processing the image information of the printing material, extracting the printing material image, then removing the interference of the printing material image, and performing operation processing to obtain the printing material feature parameters, the result is accurate and reliable.

[0038] As shown in Figure 2 The second information acquisition module of the present application collects the implementation flowchart of the printing material information; the printing process detection method can include steps S201 to S204.

[0039] At step S201, the image information and temperature information of the printing raw material sprayed by the printing nozzle are obtained by the second information acquisition module; specifically, the operation of obtaining the image information and temperature information of the printing material is operated by the second image acquisition device and the temperature sensor arranged in the food 3D printing production line with the electromagnetic induction heating device;

[0040] At step S201, the temperature sensor obtains the temperature information of the material, including heating temperature, heating mode and heating time;

[0041] At step S201, the obtained image information includes volume, spraying angle and spraying speed;

[0042] At step S201, at least two continuous specified printing material images are selected from the printing material image;

[0043] At step S202, the second information analysis and comparison module reduces noise and pre-processes the image;

[0044] At step S203, the second information analysis and comparison module extracts the printing material feature parameters based on the particle image velocimetry algorithm and Harris algorithm of deep neural network, and calculates the spraying speed and spraying angle of the current printing material;

[0045] Specifically: a particle image velocimetry algorithm using a deep neural network, a Harris algorithm, according to the center distance of the printing material and the ejection frequency of the nozzle, the ejection speed of the printing material is calculated; according to the connecting line of the center point of the printing material, the ejection angle of the printing material is determined; in the result output, the calculated current printing material data is compared with the pre-stored data in the database, so as to judge whether the printing process parameters are qualified.

[0046] At step S204, the second information analysis comparison module outputs the temperature information and printing process parameter information of the printing material to the second information storage module;

[0047] Therefore, by processing the image information and temperature information of the coarse grain rice food material, the printing material characteristic parameters are extracted accurately and reliably.

[0048] Figure 3 For the system food 3D printing process schematic diagram of the application, first, in the food 3D printing production process, after the filler is injected into the printing device, the first image acquisition device and the physical and chemical analyzer acquire the image and physical and chemical information of the printing material, and store the acquired printing material rice information into the first information storage module; the first information analysis comparison module analyzes the type of the printing material according to the information of the current printing material stored in the information storage module, simultaneously matches the corresponding printing process parameters, and stores the reference printing process parameter information into the first information storage module; the integrated control module in the food 3D printing production line with electromagnetic induction heating downloads the printing process parameters stored in the first information storage module, and controls the start of the food 3D printer and the electromagnetic induction heating device through signal output.

[0049] When the printing material is ejected from the nozzle of the food 3D printer, the second image acquisition device and the temperature sensor acquire the image and temperature information of the printing material, and store the acquired printing material rice information into the second information storage module; the second information analysis comparison module matches and compares the information of the current printing material stored in the second information storage module with the set information in the first information storage module, if the current printing parameter matches the set parameter, the analysis module outputs a "yes" instruction to the second storage module, the integrated control module in the food 3D printing production line with electromagnetic induction heating downloads the instruction information stored in the second information storage module, and continues the current printing work.

[0050] If the current printing parameter does not match the set parameter, the analysis module outputs a "no" instruction to the second storage module, the integrated control module in the food 3D printing production line with electromagnetic induction heating downloads the instruction information stored in the second information storage module, and stops the current printing work, the integrated control module downloads the printing process parameters again, and restarts the food 3D printer and the electromagnetic induction heating device.

[0051] For example, the first information module collects images through the image recognition device, improves the collection of physicochemical indexes of the physicochemical analyzer, and makes fuzzy judgments on the types of the printing materials by comprehensively analyzing the information of the printing materials in the images and the physicochemical index information of the printing materials, and cross-comparing with the pre-stored information in the information storage module, so as to obtain accurate information of the printing materials.

[0052] For example, the second information collection module compares the collected information of the printing materials with the information stored in the second information storage module, and the second information analysis and comparison module judges whether the information of the current printing materials matches; the integrated control module in the food 3D printing production line with the electromagnetic induction heating device downloads the matching result to control the printing process in real time. The present application can intelligently identify different types of printing materials and match the printing process parameters, and can detect the quality of the printing products in real time during the printing process, and control the printing process in real time. It can effectively improve the production efficiency and intelligent degree of food 3D printing, reduce the defective rate of 3D printing products, and reduce the waste of printing materials.

[0053] Description: The above examples are only used to illustrate the present application and not to limit the technical solutions described in the present application; therefore, although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the present application can still be modified or replaced equivalently; and all technical solutions and improvements which do not deviate from the spirit and scope of the present application should be covered in the scope of the claims of the present application.

Claims

1. A food 3D printing intelligent decision system with real-time detection function, characterized in that, The system comprises a first information analysis unit and a second information analysis unit; The first information analysis unit is a food 3D printing production line with an electromagnetic heating device; the first information analysis unit comprises a first information acquisition module, a first information analysis and comparison module, and a first information storage module; when the printing material enters the food 3D printing production line with an electromagnetic heating device, the first information acquisition module acquires the image information and the physicochemical information of the printing material and stores them in the first information storage module; the first information analysis and comparison module analyzes the type information of the printing material according to the information stored in the first information storage module and stores the corresponding reference printing process information in the first information storage module; The food 3D printing production line with an electromagnetic heating device comprises an electromagnetic induction heating device, a food 3D printer, and an integrated control module; the electromagnetic induction heating device, the food 3D printer, and the integrated control module are electrically connected; the food 3D printer is provided with a printing nozzle and a storage bin; the current printing process parameters in the first information storage module are downloaded through the integrated control module, and control signals are transmitted to the electromagnetic induction heating device and the food 3D printer at the same time, so that the electromagnetic induction heating device and the food 3D printer start working; The first information acquisition module comprises a physicochemical analyzer, a first image acquisition device, a first image recognition device connected to the first image acquisition device, and a first interaction device connected to the first image recognition device and the physicochemical analyzer; The first image acquisition device acquires the image information of the printing material and transmits the image information to the first image recognition device; the first image recognition device analyzes the image information and transmits the information recognition result of the printing material to the first interaction device; the physicochemical analyzer transmits the collected physicochemical information of the printing material to the first interaction device; and the first interaction device outputs the recognition results of the image recognition device and the physicochemical analyzer; The second information analysis unit acquires the image and temperature information of the printing material sprayed from the nozzle of the food 3D printer; the second information analysis unit comprises a second information acquisition module, a second information analysis and comparison module, and a second information storage module; the second information acquisition module of the second information analysis unit stores the image and temperature information of the product sprayed from the printing nozzle into the second information storage module; the second information analysis and comparison module analyzes the product image and temperature information stored in the second information storage module to calculate the printing process parameter information of the printed product, and then compares it with the set process parameter information in the second storage module; The second information collection module comprises a temperature sensor, a second image collection device, a second image recognition device connected to the second image collection device, and a second interaction device connected to the second image recognition device and the temperature sensor; the second image collection device collects image information of the printing material and transmits the image information to the second image recognition device, the second image recognition device analyzes the image information and transmits the information recognition result of the printing material to the second interaction device, the temperature sensor transmits the collected temperature information of the printing material to the second interaction device, and the second interaction device outputs the recognition result of the second image recognition device and the temperature sensor. If the current parameter matches the set parameter, the second information analysis and comparison module outputs "Yes" instruction information and stores it in the second storage module; if the current printing parameter does not match the set parameter, the second information analysis and comparison module outputs "No" instruction information and stores it in the second storage module; the integrated control module downloads the instruction information in the second storage module, and starts or stops the food 3D printer and the electromagnetic induction heating device. 2.The food 3D printing intelligent decision system with real-time detection function of claim 1, wherein, The physicochemical information comprises rheological properties and dielectric properties. 3.The food 3D printing intelligent decision system with real-time detection function of claim 1, wherein, The first information analysis and comparison module is a computer equipped with analysis software. 4.The food 3D printing intelligent decision system with real-time detection function of claim 1, wherein, The printing process information stored in the first information storage module comprises jetting speed, jetting angle, heating mode, heating duration, and heating temperature. 5.The food 3D printing intelligent decision system with real-time detection function of claim 1, wherein, The second information analysis and comparison module is a computer equipped with analysis software.

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