Community diet health management method and system based on big data

A health management system and healthy diet technology, which is applied in the field of community diet health management methods and systems based on big data, can solve problems such as unreasonable and healthy diet for users, and inability to obtain a better dining experience.

Inactive Publication Date: 2020-12-29
七采蜂(苏州)数字科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application solves the technical problem in the prior art that the user's diet is not reasonable and healthy enough to obtain a better dining experience based on eating habits by providing a community diet health management method and system based on big data.

Method used

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  • Community diet health management method and system based on big data
  • Community diet health management method and system based on big data
  • Community diet health management method and system based on big data

Examples

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Embodiment 1

[0024] Such as figure 1 As shown, the embodiment of the present application provides a community diet health management method based on big data, which is applied to a health management system of a smart community, and the health management system is connected to the electronic device of the first user through communication. include:

[0025] Step S100: obtaining the personal information of the first user through the electronic device of the first user;

[0026] Specifically, the electronic device of the first user refers to a mobile phone, a computer and other devices that contain personal information. The personal information of the first user is obtained by establishing network communication between the health management system and the electronic device of the user.

[0027] Step S200: Obtain the eating habits and work and rest time information of the first user according to the personal information;

[0028] Specifically, the first user's eating habits refer to the firs...

Embodiment S522

[0055] Further, before inputting the body state information and eating habits into the convolutional neural network model, S522 in the embodiment of the present application further includes:

[0056] Step S5221: Obtain the physical state information and eating habits of the first user, and generate a first verification code according to the first user;

[0057] Step S5222: Generate a second verification code based on the second user and the first verification code, and so on, generate an Nth verification code based on the Nth user and the N-1th verification code, where N is a natural number greater than 1;

[0058] Step S5223: copy and store the user information and verification codes on M electronic devices, where M is a natural number greater than 1;

[0059] Specifically, obtain the physical state information and eating habits of the first user, generate a first verification code based on the first user; generate a second verification code based on the second user and the f...

Embodiment 2

[0070] Based on the same inventive concept as a big data-based community diet health management method in the foregoing embodiments, the present invention also provides a community diet health management system based on big data, such as figure 2 As shown, the system includes:

[0071] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain the personal information of the first user through the electronic device of the first user;

[0072] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain the eating habits and work and rest time information of the first user according to the personal information;

[0073] A third obtaining unit 13, the third obtaining unit 13 is configured to obtain the location information of the first user;

[0074]The first input unit 14, the first input unit 14 is used to input the eating habits and the location information into the training model, the training model is obtained through multiple sets ...

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Abstract

The invention discloses a community diet health management method and system based on big data, which are applied to an electronic device of a first user; the electronic device of the first user is connected with a central management platform, and the method comprises the following steps: obtaining personal information of the first user through the electronic device of the first user; acquiring dietary habits and work and rest time information of the first user according to the personal information; obtaining position information of the first user; inputting the dietary habit and the positioninformation into a training model for training; obtaining an output result of the training model, wherein the output result comprises at least one piece of shop recommendation information; and adjusting the output result according to the work and rest time information, and sending the adjusted shop recommendation information to the first user. The technical problems that in the prior art, the dietof a user is not reasonable and healthy enough, and better dining experience cannot be obtained according to the diet habits are solved.

Description

technical field [0001] The present invention relates to the field of smart community health management, in particular to a method and system for community diet health management based on big data. Background technique [0002] With the improvement of living standards and the rapid development of the Internet, Internet-based smart communities have entered thousands of households. The construction and development of a smart community is inseparable from every community user. At present, community users have different eating habits and dietary product requirements and preferences. How to provide users with suitable dietary products is an urgent problem that needs to be solved. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present application, the inventor of the present application found that the above-mentioned technology has at least the following technical problems: [0004] In the prior art, there is a techni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2457G06F16/29G16H20/60G16H50/30
CPCG06F16/2457G06F16/29G16H20/60G16H50/30
Inventor 陈小平
Owner 七采蜂(苏州)数字科技有限公司
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