Nutrition intelligent management system
An intelligent management system and nutrition technology, which is applied in nutrition control, electronic digital data processing, special data processing applications, etc., can solve the problem that the user's preference for food materials is not fully considered.
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Embodiment 1
[0023] As one of the most basic implementations of the present invention, a nutritional intelligent management system disclosed in this embodiment includes a user terminal with an input unit and a communication unit, and a server with a storage unit and an operation processing unit.
[0024] The input unit sends the user information and the user retrieval instruction to the server through the communication unit.
[0025] The storage unit is used for storing user information, ingredients and dish information, and a nutrition database.
[0026] The calculation processing unit calculates the nutrient requirement of the corresponding user according to the user information, and matches the corresponding reference intake of nutrients required by the user in the nutrition database according to the user information; Retrieve the corresponding ingredients and dishes from the ingredients and dishes information, calculate the amount of nutrients that can be obtained from the correspondin...
Embodiment 2
[0029] As a preferred embodiment of the present invention, on the basis of the above-mentioned Example 1, further, as figure 1 , the user terminal further includes a display unit, through which the ingredients and dishes information is provided to the user to consult and select specified types of ingredients and dishes as user retrieval instructions, and the ingredients and dishes calculated by the calculation processing unit The provided amount is displayed by the display unit. The display unit may be a display screen, or further, a display screen with a touch input function, so that both the input unit and the communication unit can be integrated in the display screen.
[0030] The wider the data types contained in the user information, the higher the accuracy of the service. Preferably, it may include the user's height, weight, gender, age, labor intensity, physical condition, eating habits, regional characteristics, taste preferences, dietary taboos, disease states, disea...
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