Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

5 results about "Food group" patented technology

A food group is a collection of foods that share similar nutritional properties or biological classifications. Nutrition guides typically divide foods into food groups and recommend daily servings of each group for a healthy diet. In the United States for instance, USDA has described food as being in from 4 to 11 different groups.

Packaging product, packaging group comprising at least two packaging products, method for producing such packaging product

The packaged product (1) comprises: a container body (2) defining a cavity (6) and an opening, within the cavity (6) a dose of a food component (4) for interacting with a fluid to prepare a food product, and a package (10) comprising:-a protective sheet (14) covering the container body (2) and not covering the opening, and-a closing sheet (12), and a closing sheet (12) covering the opening (8) and a portion of the protective sheet (14) such that the container body (2) is surrounded between the protective sheet (14) and the closing sheet (12). The closure sheet (12) and the container body (2) are attached to each other along a body attachment section (16). The body attachment section (16) extends around the opening (8) such that the closure sheet (12) defines a diaphragm portion (18) of the sealed cavity (6). The closure sheet (12) and the protective sheet (14) are attached to each other along the sheet attachment section (20). The sheet attachment section (20) extends around the body attachment section (16).
Owner:SOCIETE DES PRODUITS NESTLE SA

Multi-functional blender

ActiveCN309920893SMinced foodFruit juice
1. Name of the product in this design: Multifunctional High-Speed ​​Blender. 2. Application of this design: Component 1 is used for the main body of the blender; Component 2 is used for the shock absorption pad of the blender; Component 3 is used for breaking, grinding, stirring, and mincing food, and extracting various juices, vegetable juices, soy milk and other beverages; Component 4 is used for crushing and grinding nuts; Component 5 is used for stirring or pounding food; Component 6 is used for measuring the volume of food. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design points: Component 1 3D view 1.
Owner:PUDA INTELLIGENT MANUFACTURING ELECTRONICS IND (JIANGXI) CO LTD

Packaging product, packaging group comprising at least two packaging products, method for manufacturing such packaging products

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).
Owner:SOCIETE DES PRODUITS NESTLE SA

Dietary recommendation method based on candidate menu generation and nutrition-driven multi-objective optimization

The invention relates to the field of intelligent recommendation of recipes, in particular to a diet recommendation method based on candidate menu generation and nutrition-driven multi-objective optimization. The method comprises the following steps: firstly, constructing a collaborative recommendation model HyKBC-Rec fusing hyperbolic knowledge graph embedding and a knowledge perception attention mechanism, modeling a hierarchical semantic relationship between menus in a hyperbolic space, and carrying out weighted aggregation on historical diet behaviors of a user through multi-head attention; therefore, robust user preference modeling is realized under the condition of sparse user-menu interaction data. Secondly, a nutrition-driven multi-target weekly catering optimization algorithm NDMO is provided, and on the premise that hard constraints such as energy intake, menu number and repetition times are met, targets such as Chinese healthy dietary index, low sodium, energy stability, food diversity and food group coverage are synergistically optimized; and an executable personalized weekly diet scheme is generated through a multi-objective evolutionary optimization method.
Owner:BEIJING TECH & BUSINESS UNIV