CN112426132A - Terminal for nutrition and health prediction based on big data - Google Patents
Terminal for nutrition and health prediction based on big data Download PDFInfo
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- CN112426132A CN112426132A CN202011330145.XA CN202011330145A CN112426132A CN 112426132 A CN112426132 A CN 112426132A CN 202011330145 A CN202011330145 A CN 202011330145A CN 112426132 A CN112426132 A CN 112426132A
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- 230000036541 health Effects 0.000 title claims abstract description 27
- 235000016709 nutrition Nutrition 0.000 title claims abstract description 23
- 230000035764 nutrition Effects 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 37
- 210000000577 adipose tissue Anatomy 0.000 claims abstract description 35
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000007405 data analysis Methods 0.000 claims abstract description 34
- 238000012360 testing method Methods 0.000 claims abstract description 10
- 239000000428 dust Substances 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 5
- 208000008589 Obesity Diseases 0.000 description 4
- 238000004140 cleaning Methods 0.000 description 4
- 235000020824 obesity Nutrition 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 208000031662 Noncommunicable disease Diseases 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
- 230000001684 chronic effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 235000008242 dietary patterns Nutrition 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 235000006286 nutrient intake Nutrition 0.000 description 1
- 230000037081 physical activity Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 235000014268 sports nutrition Nutrition 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7445—Display arrangements, e.g. multiple display units
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Public Health (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Dentistry (AREA)
- General Physics & Mathematics (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a terminal for nutrition and health prediction based on big data, which comprises a weight recognition module, a height recognition module, a body fat recognition module, a big data analysis processing module, a prediction module, a suggestion module, a terminal display module, a weight detector, a height detector, a body fat detector, a terminal display and a test assembly, wherein the test assembly comprises a detection body, the outer side wall of the detection body is fixedly connected with a fixed rod, the outer side wall of the fixed rod is connected with a sliding rod in a sliding way, the height detector is fixedly connected with the bottom of the sliding rod, the weight detector is fixedly arranged on the outer side wall of the detection body, the analysis and processing result of the big data analysis processing module is transmitted to the prediction module and the suggestion module, the prediction module and the suggestion module display a detection report and suggestion through the terminal display module, and realize the rapid detection of the nutrition and health of detected personnel, and the advice is given, which is beneficial to the later physical health of the detected person.
Description
Technical Field
The invention relates to the technical fields of human body measurement, sports nutrition, artificial intelligence and the like, and the design of a terminal for nutrition and health prediction based on big data is completed by utilizing the technical means of human body morphology detection, body composition determination, nutrition guidance, health promotion big data analysis and the like.
Background
Obesity has become a serious public health problem in today's society and has been a serious chronic disease for intensive prevention and treatment. Along with the development of social economy, the living standard of Chinese residents is greatly improved, the types of daily consumed food are more and more abundant, and the dietary structure is also greatly changed. However, unreasonable dietary patterns, excessive nutrient intake, lack of physical activity have all been risk factors for chronic non-infectious diseases such as obesity, cardiovascular disease, diabetes, etc.
The existing body morphology detection and body quality detection instruments or methods only stop at the output of test results, and subjects can only receive simple analysis of the test results and are simply defined as states of obesity, normal and the like, the detection speed is slow, and effective suggestions cannot be given, so that a terminal for nutrition and health prediction based on big data is needed. How to rapidly evaluate the obesity state and the nutritional state of the human body by applying modern scientific technology; how to analyze the cause of the current health condition by utilizing big data; the key problem to be solved by the invention is how to accurately feed back the expert advice of the factors such as diet, exercise, life style and the like to the subject.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a terminal for nutrition and health prediction based on big data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big data-based terminal for nutrition and health prediction comprises a weight recognition module, a height recognition module, a body fat recognition module, a big data analysis processing module, a prediction module, a suggestion module, a terminal display module, a weight detector, a height detector, a body fat detector, a terminal display and a test assembly;
the testing assembly comprises a detection body, a fixed rod is fixedly connected to the outer side wall of the detection body, a sliding rod is connected to the outer side wall of the fixed rod in a sliding manner, a height detecting instrument is fixedly connected to the bottom of the sliding rod, a weight detecting instrument is fixedly mounted on the outer side wall of the detection body, a body fat detecting instrument is fixedly connected to the outer side wall of a weight recognition module, a mounting groove is formed in the outer side wall of the detection body, an electric lifting rod is fixedly connected to the inner side wall of the mounting groove, a terminal display is fixedly connected to the tail end of the electric lifting rod, a fixing box is fixedly connected to the inner side wall of the mounting groove, a dust cleaning mechanism is connected to the inner side wall of the fixing box in a sliding manner and tightly abutted against the outer side wall of the terminal display, interlocking rods are symmetrically and rotatably connected to the outer, the device comprises an opening and closing groove, a positioning groove, an ash collecting groove, a limiting mechanism and a fixing device, wherein the opening and closing mechanism is connected to the inner side wall of the opening and closing groove in a sliding mode, a plurality of through holes are formed in the inner side wall of the mounting groove, the positioning groove is formed in the outer side wall of a detection body, the ash collecting groove is connected to the inner side wall of the positioning groove in a sliding mode, the limiting mechanism is fixedly mounted on the outer side wall of.
Preferably, the deashing mechanism includes the brush of sliding connection on the fixed incasement lateral wall, fixedly connected with spring on the inside wall of fixed incasement, the end and the brush fixed connection of spring, the terminal lateral wall of fixed case is run through to the end of brush, the brush offsets tightly with the lateral wall of terminal display.
Preferably, the mechanism that opens and shuts includes the open-close board of sliding connection on the inslot lateral wall that opens and shuts, the lateral wall of open-close board rotates with the end of trace and is connected.
Preferably, stop gear includes, fixed connection is at the gag lever post on detecting the body lateral wall, it is connected with the limiting plate to rotate on the lateral wall of gag lever post, the lateral wall with the ash collecting groove of limiting plate offsets tightly.
Preferably, the through hole is communicated with the positioning groove, and a pull rod is arranged on the outer side wall of the ash collecting groove.
Preferably, the output end of the weight recognition module is electrically connected with the input end of the big data analysis processing module, the output end of the height recognition module is electrically connected with the input end of the big data analysis processing module, the output end of the body fat recognition module is electrically connected with the input end of the big data analysis processing module, the output end of the big data analysis processing module is electrically connected with the input end of the prediction module, the output end of the big data analysis processing module is electrically connected with the input end of the suggestion module, the output end of the prediction module is electrically connected with the input end of the terminal display module, and the output end of the suggestion module is electrically connected with the input end of the terminal display module.
Preferably, the outer diameter of the fixing rod is smaller than the inner diameter of the sliding rod.
Preferably, be electric connection between weight detector and the weight identification module, be electric connection between height detector and the height identification module, be electric connection between body fat detector and the body fat identification module.
Preferably, the weight recognition module, the height recognition module, the body fat recognition module, the big data analysis processing module, the prediction module, the suggestion module and the terminal display module are all arranged inside the terminal display.
Compared with the prior art, the invention has the beneficial effects that:
1. through the matching use of a weight detector, a height detector, a body fat detector and a terminal display, when a detected person stands on the weight detector, the weight detector measures the weight of the person, the height detector measures the height of the detected person, the body fat detector measures the body fat of the detected person, the weight detector, the height detector and the body fat detector respectively upload the detection results to a big data analysis processing module in the terminal display through a weight identification module, a height identification module and a body fat identification module, the big data analysis processing module in the terminal display analyzes the health condition of the detected person, the analysis processing result of the big data analysis processing module is transmitted to a prediction module and an advice module, and the prediction module and the advice module then display the detection report and the advice through the terminal display module, the rapid detection of the nutrition and health of the detected person is realized, and the suggestion is given, so that the future physical health of the detected person is facilitated.
2. The electric lifting rod is started to drive the terminal display to move upwards, the opening plate is driven to move outwards by the linkage rod in the process of moving upwards by the terminal display, so that the mounting groove is opened, the detected person can visually see the health condition of the detected person through the terminal display and the suggestions given by big data analysis, after the detection is finished, the electric lifting rod is started, the electric lifting rod drives the terminal display to move downwards, the terminal display drives the opening and closing plate to slide inwards through the linkage rod, the closing of the mounting groove is realized, the damage of dust and moist air to the terminal display during the non-detection period is avoided, meanwhile, in the process that the terminal display moves downwards, the brush cleans dust and stains attached to the surface of the terminal display, so that detected people can watch the dust and stains more clearly.
Drawings
Fig. 1 is a schematic structural diagram of a big data-based nutritional health prediction terminal according to the present invention;
FIG. 2 is a side view of the present invention;
FIG. 3 is an enlarged view of a portion A of the present invention;
FIG. 4 is an enlarged view of a portion B of the present invention;
FIG. 5 is an enlarged view of a portion C of the present invention;
FIG. 6 is a front view of a display of the terminal of the present invention;
FIG. 7 is a perspective view of the body fat detector of the present invention;
FIG. 8 is a block diagram of the system of the present invention;
in the figure: the device comprises a weight identification module 1, a height identification module 2, a body fat identification module 3, a big data analysis processing module 4, a prediction module 5, a suggestion module 6, a terminal display module 7, a detection body 8, a weight detection instrument 9, a fixing rod 10, a sliding rod 11, a height detection instrument 12, a body fat detection instrument 13, a mounting groove 14, a fixing box 15, a spring 16, a hairbrush 17, an electric lifting rod 18, a terminal display 19, a linkage rod 20, an opening and closing plate 21, a positioning groove 22, an ash collecting groove 23, a through hole 24, a limiting rod 25, a limiting plate 26 and an opening and closing groove 27.
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.
Referring to fig. 1-8, a big data-based nutritional health prediction terminal comprises a weight recognition module 1, a height recognition module 2, a body fat recognition module 3, a big data analysis processing module 4, a prediction module 5, a suggestion module 6, a terminal display module 7, a weight detector 9, a height detector 12, a body fat detector 13, a terminal display 19 and a test component, wherein an output end of the weight recognition module 1 is electrically connected with an input end of the big data analysis processing module 4, an output end of the height recognition module 2 is electrically connected with an input end of the big data analysis processing module 4, an output end of the body fat recognition module 3 is electrically connected with an input end of the big data analysis processing module 4, an output end of the big data analysis processing module 4 is electrically connected with an input end of the prediction module 5, an output end of the big data analysis processing module 4 is electrically connected with an input end of the suggestion module 6, the output end of the prediction module 5 is electrically connected with the input end of the terminal display module 7, the output end of the suggestion module 6 is electrically connected with the input end of the terminal display module 7, the weight detector 9 is electrically connected with the weight recognition module 1, the height detector 12 is electrically connected with the height recognition module 2, the body fat detector 13 is electrically connected with the body fat recognition module 3, and the big data analysis processing module 4 is connected with external data through a wireless network, so that the body data of a detected person can be analyzed and processed conveniently;
the testing assembly comprises a detection body 8, a fixed rod 10 is fixedly connected to the outer side wall of the detection body 8, a sliding rod 11 is slidably connected to the outer side wall of the fixed rod 10, the outer diameter of the fixed rod 10 is smaller than the inner diameter of the sliding rod 11, a height detector 12 is fixedly connected with the bottom of the sliding rod 11, a weight detector 9 is fixedly installed on the outer side wall of the detection body 8, a body fat detector 13 is fixedly connected with the outer side wall of a body fat recognition module 1, a mounting groove 14 is formed in the outer side wall of the detection body 8, an electric lifting rod 18 is fixedly connected to the inner side wall of the mounting groove 14, a terminal display 19 is fixedly connected with the tail end of the electric lifting rod 18, the body weight recognition module 1, the height, the prediction module 5, the suggestion module 6 and the terminal display module 7 are all arranged in the terminal display 19, and the inner side wall of the mounting groove 14 is fixedly connected with a fixing box 15;
the dust cleaning mechanism is connected to the inner side wall of the fixed box 15 in a sliding mode, the dust cleaning mechanism is abutted to the outer side wall of the terminal display 19 tightly, the dust cleaning mechanism comprises a brush 17 connected to the inner side wall of the fixed box 15 in a sliding mode, a spring 16 is fixedly connected to the inner side wall of the fixed box 15, the tail end of the spring 16 is fixedly connected with the brush 17, the tail end of the brush 17 penetrates through the outer side wall of the fixed box 15, the brush 17 is abutted to the outer side wall of the terminal display 19 tightly, linkage rods 20 are connected to the outer side wall of the terminal display 19 in a symmetrical and rotating mode, and opening and closing grooves 27; the inner side wall of the opening and closing groove 27 is connected with an opening and closing mechanism in a sliding mode, the opening and closing mechanism comprises an opening and closing plate 21 which is connected to the inner side wall of the opening and closing groove 27 in a sliding mode, the outer side wall of the opening and closing plate 21 is connected with the tail end of the linkage rod 20 in a rotating mode, a plurality of through holes 24 are formed in the inner side wall of the mounting groove 14, a positioning groove 22 is formed in the outer side wall of the detection body 8, the through holes 24 are communicated with the positioning groove 22, dust which is swept down conveniently falls into the dust collecting groove 23, the inner side wall of the positioning groove 22 is; fixed mounting has stop gear on detecting body 8's the lateral wall, and stop gear offsets tightly with the lateral wall of collection ash groove 23, and stop gear includes, and fixed connection is at the gag lever post 25 on detecting body 8 lateral wall, rotates on the lateral wall of gag lever post 25 and is connected with limiting plate 26, and limiting plate 26 offsets tightly with the lateral wall of collection ash groove 23.
In the invention, when in use, the electric lifting rod 18 is started, the electric lifting rod 18 drives the terminal display 19 to move upwards, the terminal display 19 drives the opening plate 21 to move outwards through the linkage rod 20 to open the installation groove 14, a detected person stands on the weight detector 9, the weight detector 9 detects the weight of the detected person, then the detected data is transmitted to the weight identification module 1, the weight identification module 1 transmits the data to the big data analysis processing module 4, the sliding rod 11 slides downwards, the sliding rod 11 drives the height detector 12 to slide downwards, when the sliding rod 11 contacts with the head of the detected person, the height detector 12 measures the height of the detected person, the height detector 12 transmits the detected data to the height identification module 2, the height identification module 2 converts the detected distance into height data and transmits the height data to the big data analysis processing module 4, the body fat detector 13 measures the body fat of the detected person, the body fat detector 13 transmits the detected data to the big data analysis processing module 4 through the body fat identification module 3, the big data analysis processing module 4 performs operation processing on the data, the data processed by the big data analysis processing module 4 is transmitted to the prediction module 5 and the suggestion module 6, the prediction module 5 and the suggestion module 6 then display the detection report and the suggestion through the terminal display module 7 in the terminal display 19, so that the detected person can visually see the body nutrition and health report and the suggestion, when the detection is completed, the electric lifting rod 18 is started, the electric lifting rod 18 drives the terminal display 19 to move downwards, the terminal display 19 moves downwards and drives the opening plate 21 to move inwards through the linkage rod 20, the realization is to the closing of mounting groove 14, avoid that spot or moist air cause the damage to terminal display 19 during the non-operation, simultaneously at the in-process that terminal display 19 moved down, spring 16 has outside elasticity to brush 17, make brush 17 and terminal display 19's lateral wall offset tightly, the in-process that terminal display 19 whereabouts has realized the clearance to terminal display 19 surface, the dust of clearance can drop into constant head tank 22 through hole 24 in, collect by constant head tank 22, rotation limiting plate 26, the work of clearing up the dust in constant head tank 22 just can be realized to the pull ring on the outside pulling constant head tank 22 lateral wall.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A big data-based terminal for nutrition and health prediction is characterized by comprising a weight recognition module (1), a height recognition module (2), a body fat recognition module (3), a big data analysis processing module (4), a prediction module (5), a suggestion module (6), a terminal display module (7), a weight detector (9), a height detector (12), a body fat detector (13), a terminal display (19) and a test component;
the testing assembly comprises a detection body (8), a fixing rod (10) is fixedly connected to the outer side wall of the detection body (8), a sliding rod (11) is connected to the outer side wall of the fixing rod (10) in a sliding mode, a height detecting instrument (12) is fixedly connected with the bottom of the sliding rod (11), a weight detecting instrument (9) is fixedly installed on the outer side wall of the detection body (8), a body fat detecting instrument (13) is fixedly connected with the outer side wall of a weight identifying module (1), a mounting groove (14) is formed in the outer side wall of the detection body (8), an electric lifting rod (18) is fixedly connected to the inner side wall of the mounting groove (14), a terminal display (19) is fixedly connected with the tail end of the electric lifting rod (18), a fixed box (15) is fixedly connected to the inner side wall of the mounting groove (14), and an ash removing mechanism is slidably connected to, deashing mechanism offsets tightly with the lateral wall of terminal display (19), symmetry rotation is connected with trace (20) on the lateral wall of terminal display (19), groove (27) of opening and shutting have been seted up to the symmetry on the lateral wall of weight identification module (1), sliding connection has the mechanism that opens and shuts on the inside wall of groove (27), a plurality of through holes (24) have been seted up on the inside wall of mounting groove (14), constant head tank (22) have been seted up on the lateral wall of detection body (8), sliding connection has collection ash groove (23) on the inside wall of constant head tank (22), fixed mounting has stop gear on the lateral wall of detection body (8), stop gear offsets tightly with the lateral wall of collection ash groove (23).
2. The big data based nutritional health prediction terminal according to claim 1, wherein the ash removal mechanism comprises a brush (17) slidably connected to an inner side wall of the fixed box (15), a spring (16) is fixedly connected to the inner side wall of the fixed box (15), a terminal end of the spring (16) is fixedly connected to the brush (17), a terminal end of the brush (17) penetrates through an outer side wall of the fixed box (15), and the brush (17) abuts against an outer side wall of the terminal display (19).
3. The big data based terminal for nutrition and health prediction as claimed in claim 1, wherein the opening and closing mechanism comprises an opening and closing plate (21) slidably connected to an inner side wall of the opening and closing groove (27), and an outer side wall of the opening and closing plate (21) is rotatably connected to a tail end of the linkage rod (20).
4. The big data-based terminal for nutrition and health prediction according to claim 1, wherein the limiting mechanism comprises a limiting rod (25) fixedly connected to the outer side wall of the detection body (8), a limiting plate (26) is rotatably connected to the outer side wall of the limiting rod (25), and the limiting plate (26) abuts against the outer side wall of the dust collection groove (23).
5. The big data based nutritional health prediction terminal as claimed in claim 1, wherein the through hole (24) is communicated with the positioning groove (22), and the outer side wall of the dust collecting groove (23) is provided with a pull rod.
6. The big data based nutritional health prediction terminal according to claim 1, the output end of the weight identification module (1) is electrically connected with the input end of the big data analysis processing module (4), the output end of the height identification module (2) is electrically connected with the input end of the big data analysis processing module (4), the output end of the body fat identification module (3) is electrically connected with the input end of the big data analysis processing module (4), the output end of the big data analysis processing module (4) is electrically connected with the input end of the prediction module (5), the output end of the big data analysis processing module (4) is electrically connected with the input end of the suggestion module (6), the output end of the prediction module (5) is electrically connected with the input end of the terminal display module (7), the output end of the suggestion module (6) is electrically connected with the input end of the terminal display module (7).
7. The big data based nutritional health prediction terminal as claimed in claim 1, wherein the fixed rod (10) has an outer diameter smaller than the inner diameter of the sliding rod (11).
8. The big data based nutritional health prediction terminal as claimed in claim 1, wherein the weight detector (9) is electrically connected to the weight recognition module (1), the height detector (12) is electrically connected to the height recognition module (2), and the body fat detector (13) is electrically connected to the body fat recognition module (3).
9. The big data based nutritional health prediction terminal as claimed in claim 1, wherein the weight recognition module (1), the height recognition module (2), the body fat recognition module (3), the big data analysis processing module (4), the prediction module (5), the suggestion module (6) and the terminal display module (7) are all arranged inside the terminal display (19).
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011330145.XA CN112426132A (en) | 2020-11-24 | 2020-11-24 | Terminal for nutrition and health prediction based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011330145.XA CN112426132A (en) | 2020-11-24 | 2020-11-24 | Terminal for nutrition and health prediction based on big data |
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| CN112426132A true CN112426132A (en) | 2021-03-02 |
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| CN202011330145.XA Pending CN112426132A (en) | 2020-11-24 | 2020-11-24 | Terminal for nutrition and health prediction based on big data |
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| US20050171451A1 (en) * | 2004-02-04 | 2005-08-04 | Hyung-Sok Yeo | System and method for managing growth and development of a user |
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