Intelligent decision-making system and method for cooking process parameters based on nutritional characteristics and proportions of coarse grain rice

Abstract

The present invention discloses a cooking process parameter intelligent decision method and system based on the nutritional characteristics and proportions of coarse grain rice, including: an information base module, an information collection module, an information analysis module and an information decision module; the information base module converts the types, proportion information and nutritional characteristics information of different coarse grain rice into cooking process parameter information to form a cooking process parameter database; the information collection module is used to collect and store the image information and spectral information of coarse grain rice ingredients; the information analysis module analyzes the stored coarse grain rice ingredient information, and sends the identified optimal cooking process parameters to the information decision module and the information base module; the information decision module controls the fully automatic coarse grain rice intelligent cooking device to cook the coarse grain rice according to the received optimal process parameter information. The present invention can solve the problem that the nutritional characteristics of coarse grain rice, the types of coarse grains and the proportion ratio of coarse grains lead to overcooking or undercooking of ingredients, which affects the final cooking taste and nutritional quality of coarse grain rice.

Description

Technical Field

[0001] The invention belongs to the technical field of coarse grain rice cooking, and in particular relates to a cooking process parameter intelligent decision system and method based on the nutritional characteristics and proportions of coarse grain rice. Background Art

[0002] With the development of science and technology and the improvement of living standards, people have put forward higher requirements for the taste and nutritional quality of daily food. Multigrain rice is a nutritious and convenient rice food with health functions. However, there are many varieties of multigrain rice ingredients, and the nutritional characteristics of different varieties of ingredients vary greatly (including water content, vitamin content, etc.). If the ingredients are steamed without targeting, the whole pot of rice is prone to uneven distribution of softness and hardness. Some easy-to-cook ingredients are overheated and become soft and rotten, and the nutrition is seriously lost. The hard-to-cook ingredients are not cooked due to insufficient water absorption or too short heating time, and the rice on the surface of the pot is dry. On the other hand, the cooking process of multigrains with different proportions is also different. It is difficult for producers and processors to master the optimal cooking process parameters for different multigrains.

[0003] Currently, industrially produced multi-grain rice on the market is made according to fixed ratios, fixed cooking time, cooking temperature, and water addition, completely ignoring the differences in cooking techniques of different types of multi-grain rice. This unified cooking method will cause the unique nutrition and taste of multi-grain rice to be severely damaged.

[0004] Chinese patent CN110101293A discloses a cooking control method, device and cooking utensil, the method comprising: obtaining reference information, the reference information including the type of grain to be cooked and the amount of grain; determining the target amount of water required for cooking the grain according to the reference information. The problem in the prior art that the user cannot accurately determine the amount of water used when cooking the grain, resulting in a low cooking experience and a poor grain taste, is solved.

[0005] Although the above patents have made improvements in obtaining information about grain types, and have solved the problem in the prior art that users cannot accurately determine the amount of water used when cooking grains. However, in the industrial production of coarse grain rice, it still cannot solve consumers' demand for a diversified rice taste. In the industrial production of coarse grain rice, cooking workers cannot accurately know the temperature, amount of water added, heating time and other parameters required for coarse grain rice with different characteristics and different ratios in the cooking process like R&D personnel. The staff usually makes subjective judgments based on experience, and do not know how to specifically control the cooking process of rice. Coarse grains with different nutritional characteristics and the ratios of various coarse grains affect the final cooking taste and nutritional quality of coarse grain rice. Therefore, developing a technology that can detect the nutritional characteristics and raw material ratios of coarse grain rice, and then adjust the corresponding cooking process parameters, will effectively ensure the cooking taste and nutritional quality of coarse grain rice in the industrial production process. Summary of the invention

[0006] In order to address the deficiencies in the prior art, the present application proposes an intelligent decision-making method and system for cooking process parameters based on the nutritional characteristics and proportions of multi-grain rice, which can solve the problem of over-cooking or under-cooking of ingredients due to the different nutritional characteristics of multi-grain rice and the different proportions of multi-grain rice, thereby affecting the final taste and nutritional content of the multi-grain rice. While ensuring the nutrition of the multi-grain rice, it can also meet consumers' demand for diversified rice taste.

[0007] The technical solution adopted by the present invention is as follows:

[0008] An intelligent decision-making system for cooking process parameters based on the nutritional characteristics and proportions of coarse grain rice, comprising: an information base module, an information collection module, an information analysis module and an information decision-making module;

[0009] The information base module is to establish a standard cooking process parameter database based on various grain rice with different proportions and different nutritional characteristics; the types, proportion information and nutritional characteristics information of various grain rice in the database are converted into cooking process parameter information to form a cooking process parameter database;

[0010] The information collection module includes a miscellaneous grain rice image information collection unit and a miscellaneous grain rice spectrum information collection unit, which are used to collect and store the image information and spectrum information of the miscellaneous grain rice ingredients;

[0011] The information analysis module analyzes the stored multi-grain rice ingredients information, determines, identifies, and optimizes the optimal cooking process parameters of multi-grain rice with different nutritional characteristics, types, and raw material ratios. The analysis module sends the optimal cooking process parameters to the information decision module, and stores the optimal cooking process parameters and the corresponding multi-grain rice quality information in the information library module;

[0012] The information decision module controls the fully automatic multi-grain rice intelligent cooking device to cook the multi-grain rice according to the received optimal process parameter information.

[0013] Furthermore, the nutritional characteristic information in the information base module includes: water content, protein content, vitamin content, starch content;

[0014] Further, the cooking process parameter information of the information base module includes: cooking temperature, cooking time or amount of water added;

[0015] Furthermore, the image acquisition device in the coarse grain rice image information acquisition unit is composed of a CDD camera, an image acquisition card, a light box and a light source;

[0016] Furthermore, the spectrum acquisition device in the multi-grain rice spectrum information acquisition unit is composed of a near-infrared spectrometer, an optical fiber and a spectrum acquisition card;

[0017] Furthermore, the information analysis module mainly includes an image recognition unit, a spectrum recognition unit and an interaction unit. A software program for analyzing and processing images is installed on the computer as the image recognition unit, and a software program for spectrum information is installed as the spectrum recognition unit; the input device of the computer is installed as the interaction unit;

[0018] Further, the judgment methods of the image recognition unit and the spectrum recognition unit in the information analysis module are respectively realized by extracting characteristic variables of the image information and the spectrum information; the realization of extracting the characteristic variables of the spectrum information includes preprocessing the spectrum data by using the standard normal variable transformation (SNV) method, and extracting the first few principal component score vectors as the characteristic variables of the spectrum information by principal component analysis; the realization of extracting the characteristic variables of the image information includes first identifying the central pixel position of the image, taking the pixel as the center, intercepting the surrounding neighborhood as the target image area, preprocessing the grain image (including noise reduction and background weakening), and performing CNN algorithm operation processing on the grain rice image to extract image information features;

[0019] Furthermore, the interactive unit of the information analysis module performs fusion and pattern recognition processing on the results processed by the image recognition unit and the spectrum recognition unit, that is, the extracted spectrum information features and image information features are processed and fused on the feature layer using the recognition algorithm to identify the cooking process parameters in the matching database, and the difference is calculated using the recognition algorithm to optimize and generate the best cooking process parameters;

[0020] Furthermore, the recognition algorithm is a BP artificial neural network recognition algorithm;

[0021] An intelligent decision method for cooking process parameters based on the proportion and nutritional characteristics of coarse grain rice comprises the following steps:

[0022] Step S101, collecting image information and spectral information of multi-grain rice ingredients.

[0023] Step S102, pre-processing the data in the image acquisition card and the spectrum acquisition card to reduce noise and weaken the background.

[0024] Step S103, after performing CNN algorithm operation on the food image, extract the characteristic parameters of the multi-grain rice food image, and extract the first few principal component score vectors of the food spectral information as the characteristic parameters of the spectral information through principal component analysis; compare the extracted characteristic parameters with those pre-stored in the database to match the corresponding multi-grain rice raw material information.

[0025] Step S104, using the BP artificial neural network algorithm to process and fuse the above-mentioned characteristic parameters and characteristic variables on the characteristic layer to identify the cooking process parameters in the matching database, and at the same time using the BP artificial neural network algorithm to calculate the difference and optimize and generate the best cooking process parameters.

[0026] Step S105, transmit the optimal cooking process parameter information to the PID control system of the fully automatic multi-grain rice production device; the PID control system controls the servo motor to drive the metering pump to pump water, and the metering pump adds water to the cooking tank according to the set water volume; at the same time, the PID control starts the induction cooker to heat the multi-grain rice according to the set temperature and time.

[0027] Beneficial effects of the present invention:

[0028] The present invention combines a fully automatic multi-grain rice intelligent cooking device with big data. First, a multi-grain rice cooking process information database based on different types, proportions and different nutritional characteristics is established through physical and chemical analysis and sensory evaluation. The information acquisition module collects relevant data of multi-grain rice with different raw material proportions and different nutritional characteristics through various channels. Then the data analysis module analyzes, processes, integrates and optimizes these data to obtain the optimal cooking process parameters, and stores the optimal cooking process parameters and the corresponding multi-grain rice proportions and nutritional characteristics information in the information database. The information decision module receives the optimal cooking process parameter information sent by the information analysis module, controls the start-up of the fully automatic heating device and the quantitative water adding device, and cooks the multi-grain rice according to the optimal cooking process parameters.

[0029] The invention discloses an intelligent decision method for cooking process parameters based on the nutritional characteristics and proportions of multi-grain rice, provides an optimal cooking process for multi-grain rice with different nutritional characteristics, different types of raw materials and proportions, and ensures the nutritional quality and cooking taste of the multi-grain rice in the industrial production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of the intelligent decision-making method for cooking process parameters of multi-grain rice of the present invention. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the accompanying drawings.

[0032] The invention provides a cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice, comprising: an information base module, an information collection module, an information analysis module, and an information decision module.

[0033] The method of constructing the information base module is: to collect images and conduct conventional physical and chemical analysis on the types, proportions and nutritional characteristics of different grain rice to be measured, and to establish a database related to the proportion and nutritional characteristics of grain rice. And further convert the types, proportions and nutritional characteristics of different grain rice in the database into cooking process parameter information to form a cooking process parameter database, and store the cooking process parameter database in the computer cloud processor. The nutritional characteristics in the information base module include: water content, protein content, vitamin content, and starch content.

[0034] The information acquisition module includes a coarse grain rice image information acquisition unit and a coarse grain rice spectrum information acquisition unit, and then the information acquisition module is used to collect the coarse grain information. The information acquisition module includes a CCD camera and a near-infrared spectrometer; the image acquisition device is used to collect and store the image information of the coarse grain rice ingredients to be cooked, including the type and proportion of rice; the spectrum acquisition device is used to collect and store the spectrum information of the coarse grain rice ingredients to be cooked, including the content of protein, water, starch, and vitamins;

[0035] The information analysis module collects the information collected by the information acquisition module. The information analysis module mainly includes an image recognition unit, a spectrum recognition unit and an interaction unit. The above three units are all installed in the computer; more specifically, the computer is respectively equipped with a software program for analyzing and processing images as an image recognition unit, and a software program for spectrum information as a spectrum recognition unit; the input device of the computer is used as an interaction unit. The image recognition unit is used to receive and judge the image information of the coarse grain rice collected by the image acquisition device; the spectrum recognition unit is used to receive and judge the spectrum information of the coarse grain rice collected by the spectrum acquisition device; the image recognition unit and the spectrum recognition unit will judge the image information and the spectrum information and transmit the recognition results including the types and proportions of the raw materials of the coarse grain rice to the interaction unit, and the interaction unit uses the BP artificial neural network algorithm to fuse and pattern recognize the recognition results, match the cooking process parameters in the database, and automatically calculate the difference ratio between the obtained coarse grain rice ratio, nutritional characteristics information and the relevant information in the database, and record this minimum difference ratio. The optimal cooking process parameters are generated according to the difference ratio optimization, and the optimized optimal cooking parameters are stored in the information library module, and finally the optimal cooking process parameter information is output, and the optimal cooking process parameter information includes cooking time, temperature, and water addition amount. When the optimal cooking process parameter information is selected, the interactive unit transmits the optimal cooking process parameter information to the fully automatic multi-grain rice intelligent cooking device.

[0036] The information decision module is mainly composed of a fully automatic intelligent cooking device for multi-grain rice; the fully automatic intelligent cooking device for multi-grain rice includes a PID control system for receiving cooking process parameter information, 10 cooking slots for filling multi-grain rice and an induction cooker for heating the cooking slots, and a quantitative water adding device for adding water to the cooking slots. The quantitative water adding device includes a servo motor, a metering pump and a water tank. The induction cooker, the servo motor and the PID control system are electrically connected; the PID control system converts the optimal cooking process parameter information received into an electrical signal and sends it to the induction cooker and the servo motor, the induction cooker works according to the set cooking time and temperature, and the servo motor drives the metering pump to extract a certain amount of water from the water tank and add it to the cooking slot.

[0037] Based on the above system, the present application also proposes a flow chart of a cooking process parameter intelligent decision method based on the ratio and nutritional characteristics of multi-grain rice. The method flow may include: step S101 to step S105;

[0038] Step S101, collecting image information and spectral information of multi-grain rice ingredients. The ingredients may include: multi-grain rice to be cooked, or multi-grain rice that has been cooked. For example: image information of multi-grain rice to be cooked may be obtained, and image information of multi-grain rice that has been cooked may also be obtained. Specifically, the operation of obtaining the image information and spectral information of the ingredients may be operated by a CCD camera and a near-infrared spectrometer arranged inside the fully-automatic multi-grain rice intelligent production line; the collected data are stored in an image acquisition card and a spectrum acquisition card, respectively;

[0039] Step S102, preprocessing the data in the image acquisition card and the spectrum acquisition card. The preprocessing includes noise reduction and background weakening of the image data, and processing the spectrum information data using the standard normal variable transformation (SNV) method;

[0040] Step S103, after the food image is processed by CNN algorithm, the characteristic parameters of the grain rice food image are extracted, and the first several principal component score vectors are extracted from the food spectral information by principal component analysis as the characteristic parameters of the spectral information; for example: extracting the effective data of the grain food image by analysis can include obtaining the effective data of the image by performing some processing on the image. For example: noise reduction and background weakening in image preprocessing; extracting rice grains, removing interference, CNN algorithm operation, and extracting the image characteristic parameters of grain rice grains in grain rice image analysis; in the result output, the extracted characteristic parameters are compared with those pre-stored in the database to match the corresponding grain rice raw material information. Thus, the food image is extracted after preprocessing the image information of the grain rice food, and then the food image is removed for operation and processing to obtain the food characteristic parameters, which is accurate and reliable.

[0041] Step S104, using the BP artificial neural network algorithm to process and fuse the above-mentioned characteristic parameters and characteristic variables on the characteristic layer to identify the cooking process parameters in the matching database, and at the same time using the BP artificial neural network algorithm to calculate the difference and optimize and generate the best cooking process parameters;

[0042] Step S105, transmit the optimal cooking process parameter information to the PID control system of the fully automatic multi-grain rice production device; the PID control system controls the servo motor to drive the metering pump to pump water from the water tank, and the metering pump adds water to the cooking tank according to the set water volume; at the same time, the PID control starts the induction cooker to heat the multi-grain rice according to the set temperature and time.

[0043] The coarse grain ingredients may include: coarse grain rice materials to be cooked, or coarse grain rice that has been cooked. The raw materials may include: rice, purple rice, rhubarb rice, brown rice, oat rice, red rice, black rice, corn, black beans, red lentils, yellow millet, quinoa rice, sorghum rice, highland barley, purple sweet potato cubes, and buckwheat kernels.

[0044] The multi-grain rice ingredients information may include: multi-grain type, multi-grain ratio, vitamin content, protein content, starch content and water content;

[0045] The present invention combines a fully automatic multi-grain rice intelligent cooking device with big data, and first establishes a multi-grain rice cooking process information database based on different types, proportions and different nutritional characteristics. The information acquisition module collects relevant data of multi-grain rice with different raw material proportions and different nutritional characteristics through various channels, and then the data analysis module analyzes, processes, integrates and optimizes these data to obtain the optimal cooking process parameters, and stores the optimal cooking process parameters and the corresponding multi-grain rice types, proportions, and nutritional characteristics information in the information database. The information decision module receives the optimal cooking process parameter information sent by the information analysis module, controls the start-up of the fully automatic heating device and the quantitative water adding device, and cooks the multi-grain rice according to the optimal cooking process parameters. The present invention is based on the cooking process parameter intelligent decision method of the nutritional characteristics and proportions of multi-grain rice, provides the optimal cooking process parameters for multi-grain rice with different nutritional characteristics, different types and proportions during industrial cooking, and ensures the taste and nutritional quality of the multi-grain rice after cooking.

[0046] The above embodiments are only used to illustrate the design ideas and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. The protection scope of the present invention is not limited to the above embodiments. Therefore, any equivalent changes or modifications made based on the principles and design ideas disclosed by the present invention are within the protection scope of the present invention.

Claims

1. An intelligent decision-making system for cooking process parameters based on the nutritional characteristics and proportions of coarse grain rice, characterized in that: include: Information base module, information collection module, information analysis module and information decision module; The information base module is to establish a standard cooking process parameter database according to the different types, proportions and nutritional characteristics of the coarse grain rice; the types, proportions and nutritional characteristics of the different coarse grain rice in the database are converted into cooking process parameter information to form a cooking process parameter database; The information collection module includes a miscellaneous grain rice image information collection unit and a miscellaneous grain rice spectrum information collection unit, which are used to collect and store the image information and spectrum information of the miscellaneous grain rice ingredients; The information analysis module analyzes the stored multi-grain rice food information, determines, identifies, and optimizes the best cooking process parameters of multi-grain rice with different nutritional characteristics, different types, and proportions. The analysis module sends the best cooking process parameters to the information decision module, and stores the best cooking process parameters and the corresponding multi-grain rice quality information in the information library module. The information analysis module mainly includes an image recognition unit, a spectrum recognition unit, and an interaction unit. A software program for analyzing and processing images is installed on the computer as an image recognition unit, and a software program for spectrum information is installed as a spectrum recognition unit; the input device of the computer is used as an interaction unit; the judgment methods of the image recognition unit and the spectrum recognition unit in the information analysis module are respectively realized by extracting characteristic variables of image information and spectrum information; The realization of extracting the characteristic variables of spectral information includes preprocessing the spectral data by using the standard normal variable transformation method, and extracting the first several principal component score vectors as the characteristic variables of spectral information by principal component analysis; the realization of extracting the characteristic variables of image information includes first identifying the central pixel position of the image, taking the pixel as the center, intercepting the surrounding neighborhood as the target image area, and performing denoising and background weakening preprocessing on the grain image, and then performing CNN algorithm operation processing on the grain rice image to extract the image information characteristics; the interactive unit of the information analysis module fuses and performs pattern recognition processing on the results processed by the image recognition unit and the spectral recognition unit, that is, the extracted spectral information characteristics and image information characteristics are processed and fused on the feature layer by using the recognition algorithm to identify and match the cooking process parameters in the database, and the difference is calculated by using the recognition algorithm and the optimal cooking process parameters are generated by optimization; The information decision module controls the fully automatic multi-grain rice intelligent cooking device to cook the multi-grain rice according to the received optimal process parameter information.

2. The cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice according to claim 1, characterized in that: The nutritional characteristic information in the information base module includes: water content, protein content, vitamin content, and starch content.

3. The cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice according to claim 1, characterized in that: The cooking process parameter information in the information base module includes: cooking temperature, cooking time and amount of water added.

4. The cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice according to claim 1, characterized in that: The image acquisition device in the coarse grain rice image information acquisition unit is composed of a CDD camera, an image acquisition card, a light box and a light source.

5. The cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice according to claim 1, characterized in that: The spectrum acquisition device in the multi-grain rice spectrum information acquisition unit is composed of a near-infrared spectrometer, an optical fiber and a spectrum acquisition card.

6. The cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice according to claim 1, characterized in that: The recognition algorithm is a BP artificial neural network recognition algorithm.

7. An intelligent decision-making method for cooking process parameters based on the proportion and nutritional characteristics of coarse grain rice, characterized in that: Based on the cooking process parameter intelligent decision system based on the nutritional characteristics and proportions of coarse grain rice as described in claim 1, the method comprises the following steps: Step S101, collecting image information and spectrum information of miscellaneous grain rice ingredients; Step S102, pre-processing the data in the image acquisition card and the spectrum acquisition card to reduce noise and weaken the background; Step S103, after the food image is processed by CNN algorithm, characteristic parameters of the grain rice food image are extracted, and the first several principal component score vectors are extracted as characteristic parameters of the spectral information by principal component analysis of the food spectral information; the extracted characteristic parameters are compared with those pre-stored in the database to match the corresponding grain rice raw material information; Step S104, using the BP artificial neural network algorithm to process and fuse the above-mentioned characteristic parameters and characteristic variables on the characteristic layer to identify the cooking process parameters in the matching database, and at the same time using the BP artificial neural network algorithm to calculate the difference and optimize and generate the best cooking process parameters; Step S105, transmit the optimal cooking process parameter information to the PID control system of the fully automatic multi-grain rice production device; the PID control system controls the servo motor to drive the metering pump to pump water, and the metering pump adds water to the cooking tank according to the set water volume; at the same time, the PID control starts the induction cooker to heat the multi-grain rice according to the set temperature and time.

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