CN115424702A - Food matching intelligent management system - Google Patents
Food matching intelligent management system Download PDFInfo
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- CN115424702A CN115424702A CN202211084826.1A CN202211084826A CN115424702A CN 115424702 A CN115424702 A CN 115424702A CN 202211084826 A CN202211084826 A CN 202211084826A CN 115424702 A CN115424702 A CN 115424702A
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Abstract
The invention relates to an intelligent management system for food matching, which comprises: the data acquisition module is used for acquiring a human body basic information base and a human body physiological database; the food initial selection module is used for obtaining a traditional Chinese medicine recommended food set by adopting traditional Chinese medicine theory analysis based on human body basic information and food four-flavor and five-flavor classification, and obtaining a modern recommended food set by using modern nutriology analysis based on a human body physiological database and a food classification database; the quantity structure module analyzes the Chinese medicine recommended food set and the modern recommended food set based on the dietary guidelines and the dietary systems to obtain a dietary food name set and a dietary food quantity set; the meal quantity set is a quantity set corresponding to each meal name in the meal name set. The invention combines the traditional food compatibility, the recipe design, the artificial intelligence technology and the like, designs the diet through inheritance, innovation, optimization and the like, provides reference for individual or group selection and matching of food, and avoids the problem of malnutrition.
Description
Technical Field
The invention relates to the technical field of reasonable diet, in particular to an intelligent management system for food matching.
Background
With the social progress and the improvement of the living standard of people, the health of people is seriously affected by diseases such as obesity, diabetes, cardiovascular and cerebrovascular diseases, tumor and other chronic non-infectious diseases. Most chronic diseases are closely related to individual living habits and eating behaviors, in recent years, the incidence rate, the death rate and the disability rate of the chronic diseases are rising and trend to be younger, and cardiovascular and cerebrovascular diseases such as hypertension and cerebral apoplexy and tumors are important factors for death.
Food is an important material basis for human life, growth and health; the foods adopted by human beings are various in types, and the nutrients contained in each food are different. The reasonable dietary nutrition can promote the normal physiological activities of organisms, improve the health conditions of the organisms, enhance the disease resistance of the organisms and improve the immunity, and is a prerequisite condition for full play of intelligence and physical strength of people. An unreasonable diet mainly includes an insufficient amount of food ingested and an unscientific food structure. Therefore, food selection and matching based on a reasonable diet is the basis for ensuring reasonable nutrition. At present, many people have the problem of unreasonable dietary structure, especially the quantity and proportion of energy-supplying food intake of adults are unreasonable. The intake of vegetables, fruits, whole grains, milk and beans is low, and particularly in relatively underdeveloped areas, the problems of insufficient supply of nutrients such as high-quality protein, iron deficiency anemia, zinc deficiency and vitamin A deficiency still exist.
Reasonable diet is an important prevention strategy for guaranteeing the health of the whole people, but people have weak consciousness on active learning of related documents and nutrition theories, the nutrition science is low in literacy, and the reasonable diet cannot be well developed.
Disclosure of Invention
In view of the above, the invention provides an intelligent food matching management system, which establishes an intelligent food matching selection database to select and match food for individuals or groups, guides daily diet, can effectively avoid malnutrition, and has the characteristics of convenience, rapidness, science, reasonability, financial resource saving and the like.
In order to achieve the purpose, the invention provides the following scheme:
a food matching intelligent management system, comprising: the food counting system comprises a data acquisition module, a food initial selection module and a quantity structure module;
the data acquisition module is used for acquiring a human body basic information base and a human body physiological database;
the food initial selection module is used for obtaining a traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the human body basic information library and adopting the traditional Chinese medicine theory analysis;
the food initial selection module is used for obtaining a modern recommended food set by combining a food classification database and a food classification coding table based on the human body physiological database and adopting modern nutriology analysis;
the quantity structure module analyzes the traditional Chinese medicine recommended food set and the modern recommended food set based on a dietary guideline and a dietary system to obtain a dietary food name set and a dietary food quantity set; the set of food quantities for the meal is a set of quantities corresponding to each food name in the set of food names for the meal.
Preferably, the human basic information base comprises sex, age, cultural degree, height, weight, physical activity intensity, human physiological state and health state;
the human physiological state comprises whether the human physiological state is a pregnant woman or a lactating woman;
the health state includes whether a disease is present, and if the disease is present, the health state also includes symptoms and physical signs, main symptoms, causes, disease positions, disease properties, main pathologies and pathogenesis.
Preferably, the human physiology database comprises physiological indexes, biochemical indexes and nutrient content.
Preferably, the food classification database and the food classification code table are constructed according to the dietary guidelines of modern nutrition and the food classification benchmarks of the food ingredient table.
Preferably, the food initial selection module is configured to obtain a recommended food set of chinese medicine by using a theoretical analysis of chinese medicine based on the basic human body information library in combination with a four-qi and five-taste food classification library, and includes:
the food initial selection module analyzes the basic human body information base to obtain the physique, the body type and the physical ability;
and the food initial selection module is used for obtaining the traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the physique, the body type and the physical ability and adopting the analysis of a traditional Chinese medicine theory.
Preferably, the system further comprises: a meal evaluation module;
and the meal evaluation module obtains food selection characteristics according to the human body basic information base, the human body physiological database, the meal name set and the meal quantity set.
Preferably, the system further comprises:
the data storage module is used for carrying out contraposition storage on the human body basic information base, the human body physiological database, the meal food name set and the meal food quantity set; the contraposition storage is that each human body basic information base, the human body physiological database, the meal food name set and the meal food quantity set are stored in a one-to-one correspondence mode.
Preferably, the food selection characteristics comprise food type selection characteristics, food selection distinguishing characteristics, food nature and taste selection radar maps, food and food simultaneous selection characteristics and compatibility selection characteristics.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention relates to an intelligent management system for food matching, which comprises: the food counting system comprises a data acquisition module, a food initial selection module and a quantity structure module; the data acquisition module is used for acquiring a human body basic information base and a human body physiological database; the food initial selection module is used for obtaining a traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on a human body basic information library and adopting the analysis of a traditional Chinese medicine theory; the food initial selection module is used for obtaining a modern recommended food set by combining a food classification database and a food classification coding table and adopting modern nutriology analysis based on a human body physiological database; the quantity structure module analyzes the Chinese medicine recommended food set and the modern recommended food set based on the dietary guidelines and the dietary systems to obtain a dietary food name set and a dietary food quantity set; the set of food quantities for the meal is a set of quantities for each food name in the set of food names for the meal. The invention combines the traditional food compatibility, the recipe design, the artificial intelligence technology and the like, designs the diet through inheritance, innovation, optimization and the like, provides reference for individual or group selection and matching of food, and avoids the problem of malnutrition.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a structural diagram of an intelligent management system for food matching according to the present invention.
Description of the symbols: 1-a data acquisition module, 2-a food initial selection module, 3-a quantity structure module, 4-a meal evaluation module and 5-a data storage module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide an intelligent food matching management system, which establishes an intelligent food matching database, selects food and matches food for individuals or groups, guides daily diet, can effectively avoid the problem of malnutrition, and has the characteristics of convenience, rapidness, science, reasonability, financial conservation and the like.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a structural diagram of an intelligent management system for food matching according to the present invention. As shown in fig. 1, the present invention provides a food matching intelligent management system, comprising: the food quantity management system comprises a data acquisition module 1, a food initial selection module 2, a quantity structure module 3, a meal evaluation module 4 and a data storage module 5.
The data acquisition module 1 is used for acquiring a human body basic information base and a human body physiological database.
In this embodiment, the human basic information base includes sex, age, culture degree, height, weight, physical activity intensity, human physiological status and health status. The human physiological state includes whether the human physiological state is a pregnant woman or a lactating woman. The health state includes whether a disease is present, and if the disease is present, the health state also includes main symptoms and signs, main symptoms, causes, disease positions, disease properties, main pathologies and pathogenesis. The human body basic information base is obtained from 'Classification Scale of traditional Chinese medical science constitution'.
The human body physiological database comprises physiological indexes, biochemical indexes and nutrient contents, such as blood pressure, pulse, respiration, hemogram, hemoglobin, nutrients, metabolites and the like.
The food initial selection module 2 is used for obtaining a traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the human body basic information library and adopting the analysis of a traditional Chinese medicine theory.
Specifically, the food initial selection module 2 analyzes based on the human body basic information base to obtain the physique, the body type and the physical ability. And the food initial selection module 2 is used for obtaining the traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the physique, the body type and the physical ability and adopting the analysis of the traditional Chinese medicine theory.
The food with different tastes is selected according to the balance principle of hot of cold people, cold of hot people, and supplement of deficiency people and purge of excess people under the guidance of the theory of traditional Chinese medicine, so that the purpose of personalized selection is achieved.
The four-qi and five-flavor classification library of food is obtained from Shennong Ben Cao Jing, ben Cao gang mu, chinese medicine dictionary and Chinese pharmacopoeia.
The food initial selection module 2 is used for obtaining a modern recommended food set by combining a food classification database and a food classification coding table and adopting modern nutriology analysis based on the human body physiological database.
And constructing the food classification database and the food classification coding table according to the dietary guidelines of modern nutriology and the food classification benchmarks of the food component table. Specifically, the food classification database and the food classification code table are obtained from the Chinese food ingredient table.
The quantity structure module 3 analyzes the traditional Chinese medicine recommended food and the modern recommended food based on a dietary guideline and a dietary system to obtain a dietary food name set and a dietary food quantity set; the dietary food quantity set is a quantity set corresponding to each food name in the dietary name set, and the dietary structure and dietary nutrient data under the guidance of modern nutriology are obtained from Chinese resident dietary guidelines and Chinese resident daily dietary nutrient reference intakes.
The meal evaluation module 4 obtains food selection characteristics according to the human body basic information base, the human body physiological database, the meal food name set and the meal food quantity set.
The food selecting characteristics comprise food type selecting characteristics, food selecting distinguishing characteristics, a food nature and taste selecting radar chart, food and food simultaneous selecting characteristics and compatibility selecting characteristics.
And performing cluster analysis on the meal name set and the meal number set to obtain the food type selection characteristic, and performing discriminant analysis on the human body basic information base, the human body physiological database, the meal name set and the meal number set to obtain the food selection distinguishing characteristic.
The data storage module 5 is used for carrying out contraposition storage on the human body basic information base, the human body physiological database, the meal name set and the meal quantity set; namely, each basic human body information in the basic human body information base, each physiological human body data in the physiological human body database, the meal name set and the meal quantity set are stored in a one-to-one correspondence manner.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to assist understanding of the system and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. A food matching intelligent management system, comprising: the food counting system comprises a data acquisition module, a food initial selection module and a quantity structure module;
the data acquisition module is used for acquiring a human body basic information base and a human body physiological database;
the food initial selection module is used for obtaining a traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the human body basic information library and adopting the analysis of a traditional Chinese medicine theory;
the food initial selection module is used for obtaining a modern recommended food set by combining a food classification database and a food classification coding table and adopting modern nutriology analysis based on the human body physiological database;
the quantity structure module analyzes the traditional Chinese medicine recommended food set and the modern recommended food set based on a dietary guideline and a dietary system to obtain a dietary food name set and a dietary food quantity set; the meal quantity set is a quantity set corresponding to each food name in the food name set of the meal.
2. The intelligent food matching management system according to claim 1, wherein the human basic information base comprises gender, age, cultural degree, height, weight, physical activity intensity, human physiological state and health state;
the human physiological state comprises whether the human physiological state is a pregnant woman or a lactating woman;
the health state includes whether a disease is present, and if the disease is present, the health state also includes symptoms and physical signs, main symptoms, causes, disease positions, disease properties, main pathologies and pathogenesis.
3. The intelligent food matching management system of claim 1, wherein the human physiology database comprises physiological indexes, biochemical indexes and nutrient content.
4. The intelligent food matching management system according to claim 1, wherein the food classification database and the food classification coding table are constructed according to a dietary guideline of modern nutrition and a food classification benchmark of a food component table.
5. The food matching intelligent management system of claim 1, wherein the food initial selection module is configured to obtain a recommended food set of traditional Chinese medicine by combining a four-flavor and five-flavor food classification library based on the human body basic information library and adopting a traditional Chinese medicine theory analysis, and the recommended food set comprises:
the food initial selection module analyzes the basic human body information base to obtain the physique, the body type and the physical ability;
and the food initial selection module is used for obtaining the traditional Chinese medicine recommended food set by combining a four-flavor and five-flavor classification library of food based on the physique, the body type and the physical ability and adopting the analysis of a traditional Chinese medicine theory.
6. The intelligent food matching management system according to claim 1, further comprising: a meal evaluation module;
and the meal evaluation module obtains food selection characteristics according to the human body basic information base, the human body physiological database, the meal name set and the meal quantity set.
7. The intelligent food matching management system according to claim 1, further comprising:
the data storage module is used for carrying out contraposition storage on the human body basic information base, the human body physiological database, the meal name set and the meal quantity set; the contraposition storage is that each human body basic information base, the human body physiological database, the meal food name set and the meal food quantity set are stored in a one-to-one correspondence mode.
8. The intelligent management system for food selection according to claim 6, wherein the food selection features comprise a food category selection feature, a food selection distinguishing feature, a food flavor selection radar map, a food and food simultaneous selection feature, and a compatibility selection feature.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202211084826.1A CN115424702A (en) | 2022-09-06 | 2022-09-06 | Food matching intelligent management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211084826.1A CN115424702A (en) | 2022-09-06 | 2022-09-06 | Food matching intelligent management system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115798685A (en) * | 2022-12-18 | 2023-03-14 | 重庆邮电大学 | Depression diet management method based on food image segmentation |
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- 2022-09-06 CN CN202211084826.1A patent/CN115424702A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115798685A (en) * | 2022-12-18 | 2023-03-14 | 重庆邮电大学 | Depression diet management method based on food image segmentation |
| CN115798685B (en) * | 2022-12-18 | 2024-05-24 | 广西康久生物科技有限公司 | Depression diet management method based on food image segmentation |
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