Sudoku display method for food selection

Abstract

The invention relates to the field of food selection and display, and discloses a sudoku display method for food selection, and the method comprises the steps: calculating a nutrition quality index INQ according to the nutrient content and reference intake of food, the nutritional quality index is calculated according to the following formula: # imgabs0 # divides the target food into low, medium and high types according to two indexes of nutrients. Through a Sudoku display method, in combination with big data and spreadsheet tools, nutrient information of various foods is extracted and calculated by using a food database, so that the accuracy and scientificity of food selection are further improved; through calculation of the nutrition quality index INQ, consumers can select food meeting the standard according to personal requirements, and scientificity and rationality of diet are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of food selection display, and in particular to a nine-square grid display method for food selection. Background Art

[0002] As people's health awareness increases, dietary choices are becoming more and more of a focus. Reasonable dietary choices not only help improve physical health, but can also effectively prevent and alleviate a variety of chronic diseases, such as obesity, diabetes, cardiovascular disease, etc. How to choose the right food according to personal nutritional needs has become an important topic in health management.

[0003] In daily life, due to the wide variety of food and complex nutritional components, consumers often find it difficult to quickly make appropriate food choices. The types and contents of nutrients and the relative comparisons between various foods usually require professional nutrition knowledge to accurately understand. Therefore, how to effectively summarize, organize and intuitively display complex nutritional information has become an important direction for optimizing food choices.

[0004] At present, some common food selection methods, such as nutrition labels and nutrition guidelines, provide some reference information for consumers, but most of them only introduce single nutrients or provide simple classification guidance, lacking comprehensive and multi-dimensional food selection support. Moreover, consumers often find it difficult to quickly select foods that meet their needs from this information, resulting in limited effectiveness in actual use. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a nine-grid display method for food selection, which solves the problem that most common food selection methods only introduce single nutrients or provide simple classification guidance, and lack comprehensive and multi-dimensional food selection support. Moreover, consumers often find it difficult to quickly filter out foods that meet their needs from this information, resulting in limited effectiveness in actual use.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a nine-grid display method for food selection, the method comprising:

[0007] According to the nutrient content and reference intake of food, the nutritional quality index INQ is calculated, and the nutritional quality index is calculated by the following formula:

[0008]

[0009] The target foods were divided into three categories: low, medium, and high according to the two indicators of nutrients;

[0010] According to the classification results of the first nutrient and the second nutrient, the food is distributed into the nine areas of the nine-square grid;

[0011] Display a nine-square grid to help users choose appropriate food according to different needs.

[0012] Preferably, the first nutrient is the glycemic index GI value of fruit and vegetable food, and the second nutrient is dietary fiber INQ;

[0013] The GI value is divided into the following standards:

[0014] Low: <55, possibly beneficial;

[0015] Medium: 55-70, moderate nutrition;

[0016] High: >70, probably not beneficial;

[0017] The classification standard of dietary fiber INQ is: Dietary fiber INQ range: 0-155.84

[0018] Low: 0-2, probably not helpful;

[0019] Medium: 2-5, moderate nutrition;

[0020] High: >5, possibly beneficial.

[0021] Preferably, the first nutrient is protein INQ of meat, eggs and dairy food, and the second nutrient is fat INQ;

[0022] The classification criteria for protein INQ are: Protein INQ range: 0-9.85

[0023] Low: 0-3, probably not beneficial;

[0024] Medium: 3-6, moderate nutrition;

[0025] High: >6, possibly beneficial;

[0026] The classification standard of fat INQ is: Fat INQ range: 0-4.18

[0027] Low: 0-1, possibly beneficial;

[0028] Medium: 1-2, moderate nutrition;

[0029] High: >2, probably not beneficial.

[0030] Preferably, the nine-grid display includes: each grid corresponds to a different nutrient combination;

[0031] Users can quickly filter target foods through the nine-square grid based on their personal needs, such as "constipation people" and "blood sugar control people".

[0032] Preferably, the nine-grid display is used to visually present recommendations for food selection, specifically including:

[0033] The horizontal axis represents the low, medium, and high distribution of the first nutrient GI value or protein INQ;

[0034] The vertical axis represents the low, medium, and high distribution of the second nutrient dietary fiber INQ or fat INQ.

[0035] Preferably, nutrient information is extracted from a food database, and the nutritional quality index INQ is calculated and sorted using a spreadsheet tool, and the food is divided into low, medium and high categories based on the sorting results.

[0036] A nine-grid display device for food selection, the device comprising:

[0037] A data extraction module, used to extract the nutritional data of food;

[0038] The calculation module is used to calculate the nutritional quality index INQ according to the following formula:

[0039]

[0040] A classification module, used for dividing the food into different areas in the nine-square grid according to the first nutrient and the second nutrient;

[0041] The display module is used to visualize the nine-square grid display to help users choose food.

[0042] The present invention provides a nine-grid display method for food selection, which has the following beneficial effects:

[0043] 1. The present invention can combine big data and electronic spreadsheet tools through the nine-square grid display method, and use the food database to extract and calculate the nutrient information of various foods, thereby further improving the accuracy and scientificity of food selection; through the calculation of the nutritional quality index INQ, consumers can choose food that meets the standards according to their personal needs, ensuring the scientificity and rationality of the diet.

[0044] 2. The present invention meets the personalized needs of different groups of people, such as constipation people and blood sugar control people, by adjusting the combination of different nutrient GI values, dietary fiber INQ, protein INQ, and fat INQ, and provides customized food selection suggestions. DETAILED DESCRIPTION

[0045] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Example:

[0047] An embodiment of the present invention provides a nine-square grid display method for food selection, the method comprising:

[0048] According to the nutrient content and reference intake of food, the nutritional quality index INQ is calculated, and the nutritional quality index is calculated by the following formula:

[0049]

[0050] The target foods were divided into three categories: low, medium, and high according to the two indicators of nutrients;

[0051] According to the classification results of the first nutrient and the second nutrient, the food is distributed into the nine areas of the nine-square grid;

[0052] Display a nine-square grid to help users choose appropriate food according to different needs;

[0053] The food types and nutrient selections are shown in Table 1:

[0054] Food Types Nutrient 1 Nutrient 2 Fruits and vegetables Dietary fiber GI Meat, eggs, and dairy products protein Fat

[0055] The icon names and their specific meanings are shown in Table 2:

[0056]

[0057]

[0058] Furthermore, the first nutrient is the glycemic index GI value of fruit and vegetable food, and the second nutrient is dietary fiber INQ;

[0059] The GI value is divided into the following standards:

[0060] Low: <55, possibly beneficial;

[0061] Medium: 55-70, moderate nutrition;

[0062] High: >70, probably not beneficial;

[0063] The classification standard of dietary fiber INQ is: Dietary fiber INQ range: 0-155.84

[0064] Low: 0-2, probably not helpful;

[0065] Medium: 2-5, moderate nutrition;

[0066] High: >5, possibly beneficial;

[0067] The data are shown in Table 3 and Table 4:

[0068] Table 3:

[0069]

[0070]

[0071] Table 4:

[0072]

[0073] Further, the first nutrient is protein INQ of meat, egg and dairy food, and the second nutrient is fat INQ;

[0074] The classification criteria for protein INQ are: Protein INQ range: 0-9.85

[0075] Low: 0-3, probably not beneficial;

[0076] Medium: 3-6, moderate nutrition;

[0077] High: >6, possibly beneficial;

[0078] The classification standard of fat INQ is: Fat INQ range: 0-4.18

[0079] Low: 0-1, possibly beneficial;

[0080] Medium: 1-2, moderate nutrition;

[0081] High: >2, probably not beneficial;

[0082] The data are shown in Table 5 and Table 6:

[0083] Table 5:

[0084]

[0085] Table 6:

[0086]

[0087] Furthermore, the nine-grid display includes: each grid corresponds to a different nutrient combination;

[0088] Users can quickly filter target foods through the nine-square grid based on their personal needs, such as "constipation group" or "blood sugar control group";

[0089] Among them, constipation population: medium and high dietary fiber INQ; medium and low GI;

[0090] People who control blood sugar: low GI food;

[0091] People who want to lose fat and gain muscle: high protein INQ; low fat INQ;

[0092] General population: medium protein INQ; medium fat INQ;

[0093] Medium to high dietary fiber INQ helps lower cholesterol and improve blood lipids. Eat more foods rich in dietary fiber, such as vegetables, fruits, and whole grains. Therefore, we choose foods with medium to high dietary fiber INQ in the fruit and vegetable nine-square grid;

[0094] Low GI: If the GI value of a food is too high, it will increase the secretion of insulin and promote fat synthesis while causing the blood sugar level to rise rapidly, eventually causing the body to store more fat. At the same time, the body will also convert excess sugar into fat for storage, thereby increasing the level of triglycerides in the blood and aggravating dyslipidemia.

[0095] Medium-high protein INQ. During the metabolism process, protein can promote lipid metabolism and help lower blood lipid levels. A high-protein diet can also help improve insulin sensitivity, help control blood sugar levels, and reduce blood sugar fluctuations. In addition, high-protein foods often contain lower cholesterol, which helps lower the total cholesterol content in the blood. This is very effective for disease control in patients with hyperlipidemia and hypercholesterolemia. Therefore, we choose medium-high protein INQ foods in the meat, egg, and milk grid.

[0096] Low-fat INQ, patients with hyperlipidemia especially need to control total fat intake to reduce the triglyceride content in the blood, thereby lowering blood lipid levels. Choosing low-fat foods can help achieve this goal. Therefore, we choose medium- and low-fat INQ foods in the meat, egg and dairy grid.

[0097] Furthermore, the nine-grid display is used to visually present recommendations for food choices, including:

[0098] The horizontal axis represents the low, medium, and high distribution of the first nutrient GI value or protein INQ;

[0099] The vertical axis represents the low, medium, and high distribution of the second nutrient dietary fiber INQ or fat INQ.

[0100] Furthermore, nutrient information was extracted from the food database, and the nutritional quality index INQ was calculated and ranked using a spreadsheet tool, and the food was divided into low, medium, and high categories based on the ranking results.

[0101] A nine-grid display device for food selection, the device comprising:

[0102] A data extraction module, used to extract the nutritional data of food;

[0103] The calculation module is used to calculate the nutritional quality index INQ according to the following formula:

[0104]

[0105] A classification module, used for dividing the food into different areas in the nine-square grid according to the first nutrient and the second nutrient;

[0106] The display module is used to visualize the nine-square grid display to help users choose food.

[0107] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A nine-grid display method for food selection, characterized in that: The method comprises: According to the nutrient content and reference intake of food, the nutritional quality index INQ is calculated, and the nutritional quality index is calculated by the following formula: The target foods were divided into three categories: low, medium, and high according to the two indicators of nutrients; According to the classification results of the first nutrient and the second nutrient, the food is distributed into the nine areas of the nine-square grid; Display a nine-square grid to help users choose appropriate food according to different needs.

2. A nine-grid display method for food selection according to claim 1, characterized in that: The first nutrient is the glycemic index GI value of fruit and vegetable food, and the second nutrient is dietary fiber INQ; The GI value is divided into the following standards: Low: <55, possibly beneficial; Medium: 55-70, moderate nutrition; High: >70, probably not beneficial; The classification standard of dietary fiber INQ is: Dietary fiber INQ range: 0-155.84 Low: 0-2, probably not helpful; Medium: 2-5, moderate nutrition; High: >5, possibly beneficial.

3. A nine-grid display method for food selection according to claim 1, characterized in that: The first nutrient is protein INQ from meat, eggs and dairy foods, and the second nutrient is fat INQ; The classification criteria for protein INQ are: Protein INQ range: 0-9.85 Low: 0-3, probably not beneficial; Medium: 3-6, moderate nutrition; High: >6, possibly beneficial; The classification standard of fat INQ is: Fat INQ range: 0-4.18 Low: 0-1, possibly beneficial; Medium: 1-2, moderate nutrition; High: >2, probably not beneficial.

4. A nine-grid display method for food selection according to claim 2 or 3, characterized in that: The nine-grid display includes: each grid corresponds to a different nutrient combination; Users can quickly filter target foods through the nine-square grid based on their personal needs, such as "constipation people" and "blood sugar control people".

5. A nine-grid display method for food selection according to claim 2 or 3, characterized in that: The nine-square grid display is used to visually present recommendations for food choices, specifically including: The horizontal axis represents the low, medium, and high distribution of the first nutrient GI value or protein INQ; The vertical axis represents the low, medium, and high distribution of the second nutrient dietary fiber INQ or fat INQ.

6. A nine-grid display method for food selection according to claim 2 or 3, characterized in that: Nutrient information is extracted from the food database, and the nutritional quality index INQ is calculated and ranked using spreadsheet tools. Foods are then divided into low, medium, and high categories based on the ranking results.

7. A nine-grid display device for food selection, characterized in that: The device includes: A data extraction module, used to extract the nutritional data of food; The calculation module is used to calculate the nutritional quality index INQ according to the following formula: A classification module, used for dividing the food into different areas in the nine-square grid according to the first nutrient and the second nutrient; The display module is used to visualize the nine-square grid display to help users choose food.

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