15 results about "Food Component" patented technology

The invention provides a food ingredient identification method and system based on progressive multi-scale feature aggregation, and the method comprises the steps: constructing an ingredient analysis neural network model which comprises a global feature extraction module, a progressive local feature learning module and an ingredient identification classifier; an input food image passes through a global feature extraction module and a progressive local feature learning module in sequence, and multi-scale global semantic features and fine-grained local features are obtained respectively; an end-to-end progressive training strategy is adopted, network layers with different depths are activated in stages, and the difference of multi-scale features is enhanced in combination with KL divergence constraint; and finally, outputting a component identification result through the classifier. According to the invention, the technical problem of insufficient food identification local feature representation is solved.

The utility model discloses food component detection equipment based on spectral analysis, and relates to the technical field of food detection. The food component detection equipment based on spectral analysis comprises a detection equipment box body, a spectral probe, a guide rail rod, a main detection seat, an auxiliary detection seat and a transposition mechanism, a controller mainboard is arranged in the detection equipment box body; the spectrum probe is arranged in the inner cavity of the detection equipment box body and is connected with the controller mainboard; and the guide rail rod is arranged in the inner cavity of the detection equipment box body. According to the food component detection equipment based on spectral analysis, transposition of the main detection seat and the auxiliary detection seat is realized through the transposition mechanism, so that the equipment can process two samples at the same time, one-by-one recording, direct real-time position switching and rapid comparison of various data are not needed during sampling, detection and comparison of multiple samples, the detection efficiency is improved, and the detection cost is reduced. And convenient detection is ensured.

The objective is to provide a diversity assessment device, a diversity assessment method, and a diversity assessment program that can assess food diversity while considering nutrient diversity by evaluating the diversity of ingested foods based on clusters that classify foods. [Solution] Based on food component data, a food classification is set by classifying the target specified foods according to nutrients using a clustering method, data on the intake status of specified foods included in a meal classified according to the food classification is obtained, and a dietary diversity score is calculated for the specified food intake status data.

To obtain an information processing method capable of optimizing recipes according to a user while suppressing increase in cooking load.SOLUTION: An information processing device acquires dish information indicating desired dish to be prepared by cooking, acquires food component information indicating necessary food components that are necessary for a user eating the dish, sets a specific step, which is a cooking step to ensure that the necessary food components are present in the dish based on the dish information and the food component information, generates recipe information indicating a recipe having a plurality of cooking steps including the specific step, and outputs the recipe information.SELECTED DRAWING: Figure 6

The present disclosure provides heat-treated extended-release formulations comprising one or more food components and one or more release modulators. The present example also provides methods of manufacturing heat-treated extended-release formulations.

The invention relates to a device (1) and a method for producing food skewers comprising: a continuously rotating transport device (2) with a plurality of loader base units (4) arranged parallel to each other and transverse to the rotation direction (R1) of the transport device (2), each of the loader base units (4) comprising: an elongated base plate (41), a first support block (42) formed at a first longitudinal end of the base plate (41) and comprising a first skewer holder (43), a second support block (44) formed at a second longitudinal end of the base plate (41) and comprising a second skewer holder (45), partitions (46) extending parallel to the support blocks (42, 44) and dividing the loader base unit (4) into chambers, the partitions (46) having slots (48) oriented in the rotation direction (R1) of the transport device (2),and a skewer conduit through which a skewer passes. The loading skewer can penetrate the loader base unit (4) from the first skewer holder (43) to the second skewer holder (45). The device (1) further comprises: a loading station (5) for placing a first food component (12) into a receiving chamber formed by the chambers of the loader base unit (4); a cutting station (6), which is arranged downstream of the loading station (5) in the direction of rotation (R1), with parallel separating blades (16) that slide in slots (48) when the loader base units (4) are rotating and cut the first food component (12) placed in the loading station (5); and a skewering station (9).which is arranged downstream of the cutting station (6) in the direction of rotation (R1) and which drives a loading spike in the direction of passage through the base unit of the loader (4) and the food components placed in the chambers.

The invention relates to the field of food component detection, and discloses an automatic component analysis method and device based on terahertz spectrum and a medium, and the method comprises the following steps: obtaining a food terahertz spectrum sample signal with known content; preprocessing and labeling the spectrum of the food sample with the known content, and constructing a training set and a test set; constructing a food component analysis and detection model; training the food component analysis and detection model by using a training set, and testing the trained model by using a test set to obtain a food component analysis and detection model passing the test; inputting food to be detected into the food component analysis and detection model passing the test to obtain a food component detection result; according to the invention, the detection efficiency can be improved, and the accuracy and consistency of the detection result can be ensured.

The application relates to a multi-source food data fusion system based on a Monge-Kantorovich distance, relates to the technical field of multi-source food data fusion, and comprises a data acquisition module, a feature extraction module, a data fusion module and a fusion evaluation module. The data acquisition module collects and integrates various food data, including food image data and text data of food component analysis. The feature extraction module maps different forms of food data to a hidden space through a neural network for unified digital description. The data fusion module adopts a Monge-Kantorovich optimal transport distance to fuse different features in the hidden space. The fusion evaluation module uses the data set formed after data fusion as a training set to train a food image recognition classification network, uses a Food2k data set as a test, and evaluates the data fusion capability according to the test result. The unified mechanism is used to express the multi-source food data, and the problem of how to effectively fuse and represent the correlation and complementarity of different types of data description of the same food is solved.

The invention provides a health food production safety early warning method and system combined with environment monitoring, and relates to the technical field of food safety early warning, and the method comprises the steps: obtaining a health food production cycle, carrying out the neighborhood time zone aggregation, traversing N time zone food components, carrying out the environmental element configuration, obtaining N time zone environmental element threshold sets, and performing deviation analysis on the health food to obtain an environmental deviation coefficient, and when the environmental deviation coefficient is greater than or equal to an environmental deviation coefficient threshold value, constructing an early warning identifier for abnormal components of the health food. The technical problem of production safety of health food due to lack of corresponding environment control in the process of conveying products to each manufacturing link through different channels on a traditional food production line in the prior art can be solved, the production environment is dynamically adjusted through real-time monitoring and deviation analysis, and the production efficiency is improved. The quality and the safety of health food products are improved.

The invention discloses a food quality prediction system based on big data and fuzzy mathematics, which comprises a data acquisition module, a data processing module, a comprehensive deviation rate generation module and a quality prediction model module, and relates to the technical field of food safety intelligent detection. The comprehensive deviation rate generation module effectively captures fuzziness of food component contents through a fuzzy mathematical theory, differential influences are formed by taking final weights of all the components in the food components as differential weights, and interaction coefficients of all the components in the food components form collaborative deviation risks among the components. Therefore, the calculation accuracy of the comprehensive deviation rate is improved, the problems of insufficient uncertainty processing, fuzzy key factor identification and collaborative risk neglect in food component quality evaluation are systematically solved, and the comprehensiveness and accuracy of quality risk prediction in a subsequent quality prediction model are improved.

A recommendation device 6 for recommending a healthy diet to a user is provided. A recommendation device (6) is provided with: a biological information acquisition unit (61) that acquires biological information of a user; a health index acquisition unit 62 that acquires a health index of the user; a food component evaluation unit 63 that evaluates food components on the basis of the biological information; a diet recommendation means (64) for recommending a healthy diet on the basis of the evaluation results of the food components; and a history generation unit 67 that generates a history of the correspondence relationship between the diet recommended by the diet recommendation unit 64 and the health index.

The packaged product (1) includes a container (2) and packaging (10). The container (2) includes: - a container body (2.0) defining a cavity (6), - food components (4) in the cavity (6), and - a diaphragm (9) that closes the cavity (6). The packaging (10) includes: - a protective sheet (12) covering the container body (2.0), and - a closing sheet (14) covering a portion of the diaphragm (9) and the protective sheet (12) to enclose the container (2) between the protective sheet (12) and the closing sheet (14). The closing sheet (14) and the protective sheet (12) are attached along a sheet attachment section (20) extending around the diaphragm (9). A weakening line (22) extends around the diaphragm (9) to allow a cap (24) to separate from the closing sheet (14) under manual force (F) for retrieving the container (2).

A system for arranging transport of an alimentary component includes a computing device configured to identify at least a significant category as a function of a dietary request, produce an alimentary instruction set as a function of the at least a significant category, wherein producing the alimentary instruction set further comprises identifying a compatible food group, and producing the alimentary instruction set as a function of the at least a significant category and the compatible food group, generate a transport request as a function of the alimentary instruction set and the dietary request, and enact the transport request as a function of a fulfillment network

An induction cooker of the present disclosure comprises: an upper plate on which an object to be heated is placed; a heating coil arranged beneath the upper plate; and a control device that controls a high-frequency current supplied to the heating coil. In a frying mode, in which a food component is cooked using oil contained in the object to be heated, the control device preheats the object to be heated with a first heating power, maintains the object to be heated at a predetermined temperature after preheating is complete, and heats the object to be heated with a second heating power, which is higher than the first heating power, when it detects that the food material has been added to the object to be heated.

The application provides a food freshness detection method and system, which comprises the following steps: setting a preset number of sensors according to detection requirements, arranging the preset number of sensors in a refrigeration containing device, processing sensor state parameters by using sensor resistance change state data, determining food types by using preset food component intervals according to the sensor state parameters, determining weight values of the sensors by using preset weight processing logic according to the sensor state parameters, calculating a freshness index by using preset logic according to the weight values and the sensor state parameters, and grading the freshness index according to preset food freshness grade threshold groups to obtain a food freshness grade, so as to determine the freshness of the food. The technical problems of low detection efficiency and low detection accuracy are solved.