CN108417251A - Nutritious food generation method, device, equipment and medium - Google Patents
Nutritious food generation method, device, equipment and medium Download PDFInfo
- Publication number
- CN108417251A CN108417251A CN201810157166.2A CN201810157166A CN108417251A CN 108417251 A CN108417251 A CN 108417251A CN 201810157166 A CN201810157166 A CN 201810157166A CN 108417251 A CN108417251 A CN 108417251A
- Authority
- CN
- China
- Prior art keywords
- value
- data
- breast milk
- standard
- menu
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Landscapes
- Health & Medical Sciences (AREA)
- Nutrition Science (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention belongs to field of computer technology, a kind of nutritious food generation method, device, equipment and medium are provided.This method includes obtaining constitution data, breast milk data, and constitution data or breast milk data are compared with standard parameter, generates comparing result, according to comparing result, generates menu.Nutritious food generation method, device, equipment and medium of the present invention are capable of the specific situation of binding test person, accurately and efficiently generate nutritious food, improve operation efficiency.
Description
Technical field
The present invention relates to field of computer technology, and in particular to a kind of nutritious food generation method, device, equipment and medium.
Background technology
Currently, existing postpartum attendance mechanism or care giver can boil for puerpera, canteen still can not be directed to puerpera
Constitution and breast milk composition nutrition condition, customize the proportioning of individuation nutritious food, lead to puerpera's breast milk nutrient imbalance, influence treasured
Precious absorption, puerpera itself also can not correctly get well constitution.
Also, existing nutritious food production process is cumbersome, and step is more, and operational efficiency is low.
How the specific situation of binding test person, accurately and efficiently generate nutritious food, improve operation efficiency, be this field
The problem of technical staff's urgent need to resolve.
Invention content
For the defects in the prior art, the present invention provides a kind of nutritious food generation method, device, equipment and medium,
It is capable of the specific situation of binding test person, accurately and efficiently generates nutritious food, improves operation efficiency.
In a first aspect, the present invention provides a kind of nutritious food generation method, this method includes：
Obtain constitution data, breast milk data；
Constitution data or breast milk data are compared with standard parameter, generate comparing result；
According to comparing result, menu is generated.
Further, constitution data or breast milk data are compared with standard parameter, generates comparing result, including：
Constitution data and physical fitness standard parameter are compared, constitution data judging result is generated；
Breast milk data and breast milk standard parameter are compared, breast milk data judging result is generated；
According to comparing result, menu is generated, including：
According to constitution data judging result or breast milk data judging result, corresponding proportioning undated parameter is transferred；
According to proportioning undated parameter, menu is generated.
Further, constitution data and physical fitness standard parameter are compared, generates constitution data judging result, including：
By BMI values, body fat value, lactones value and the weight value in constitution data respectively with BMI critical fields, body fat standard model
It encloses, lactones critical field and weight standard range are compared：
If BMI values are higher than lactones critical field higher than BMI critical fields, body fat value higher than body fat critical field, lactones value
And weight value is higher than weight standard range, then constitution data judging result is height；
If BMI values are in BMI critical fields, body fat value is in body fat critical field, lactones value is in lactones standard
In range and weight value is within the scope of weight standard, then constitution data judging result is standard；
If BMI values are less than lactones critical field less than BMI critical fields, body fat value less than body fat critical field, lactones value
And weight value is less than weight standard range, then constitution data judging result is low；
By in breast milk data fat value, protein value and lactose value respectively with adiposity range, protein standard range and
Lactose critical field is compared：
If fat value is higher than adiposity range, protein value are higher than protein standard range and lactose value is higher than lactose standard model
It encloses, then breast milk data judging result is height；
If fat value is within the scope of adiposity, protein value is within the scope of protein standard and lactose value is in lactose mark
In quasi- range, then breast milk data judging result is standard；
If fat value is less than adiposity range, protein value are less than protein standard range and lactose value is less than lactose standard model
It encloses, then breast milk data judging result is low.
Further, after obtaining breast milk data, before generating menu, this method further includes：
By calcium content value, iron content value and the Zn content value in breast milk data respectively with standard calcium range, iron critical field
It is compared with zinc critical field：
If calcium content value is less than standard calcium range, iron content value are less than iron critical field and Zn content value is less than zinc standard model
It encloses, then breast milk data judging result is low.
Based on above-mentioned arbitrary nutritious food generation method embodiment, further, obtain constitution data after, generate menu it
Before, this method further includes：
According to constitution data, the physical age of tester is determined；
Physical age is compared with the actual age of the tester, generates amount of exercise prompt message.
Based on above-mentioned arbitrary nutritious food generation method embodiment, further, after generating menu, this method further includes：
Audit menu：
If the audit fails, menu is adjusted.
Further, menu is adjusted, including：
Receive the adjustment information of nutritionist's input；
According to adjustment information, menu is updated.
Second aspect, the present invention provide a kind of nutritious food generating means, which includes：Data capture unit, parameter pair
Than unit and menu generation unit, data capture unit is for obtaining constitution data, breast milk data；Parameter comparison unit is used for will
Constitution data or breast milk data are compared with standard parameter, generate comparing result；Menu generation unit is used to be tied according to comparison
Fruit generates menu.
The third aspect, the present invention provide a kind of nutritious food generation equipment, which includes：At least one processor, at least
One memory and computer program instructions stored in memory, it is real when computer program instructions are executed by processor
Existing above-mentioned nutritious food generation method.
Fourth aspect, the present invention provide a kind of computer readable storage medium, are stored thereon with computer program instructions,
It is characterized in that, above-mentioned nutritious food generation method is realized when computer program instructions are executed by processor.
As shown from the above technical solution, nutritious food generation method, device, equipment and medium provided in this embodiment, can
The constitution data and breast milk data of binding test person, are analyzed automatically, determine with the comparison situation of standard parameter, with it is accurate,
Menu is efficiently generated, determines nutritious food, improves operation efficiency.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar reference numeral.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 shows a kind of method flow diagram of nutritious food generation method provided by the present invention；
Fig. 2 shows a kind of method flow diagrams of constitution data deterministic process provided by the present invention；
Fig. 3 shows a kind of method flow diagram of breast milk data deterministic process provided by the present invention；
Fig. 4 shows a kind of method flow diagram of menu review process provided by the present invention；
Fig. 5 shows a kind of connection diagram of nutritious food generating means provided by the present invention.
Specific implementation mode
The embodiment of technical solution of the present invention is described in detail below in conjunction with attached drawing.Following embodiment is only used for
Clearly illustrate technical scheme of the present invention, therefore be intended only as example, and the protection of the present invention cannot be limited with this
Range.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
In a first aspect, the embodiment of the present invention provides a kind of nutritious food generation method, in conjunction with Fig. 1, this method includes：
Step S1 obtains constitution data, breast milk data.In actual application, staff can collect puerpera in advance
Data, and the physical condition of puerpera is assessed by nutritionist, determine puerpera's essential information, it is female such as age, height, weight
Milk composition and constitution data.
Step S2 compares constitution data or breast milk data with standard parameter, generates comparing result.Wherein, standard
Parameter is by the guidance standard of Chinese nutritious food association guide, and to puerpera, the required nutrition taken in carries out quantization number daily
Value.
Step S3 generates menu, can reach the purpose of postpartum science diet, kitchen will be according to generation according to comparing result
Menu carry out pantry making.Manufacturing process has the increment and decrement of part food materials, reaches the nutritional need of puerpera's individual,
The workflow for taking care of mechanism or care giver can be simplified, reduce workload.
As shown from the above technical solution, nutritious food generation method provided in this embodiment, is capable of the constitution of binding test person
Data and breast milk data, are analyzed automatically, determine the comparison situation with standard parameter, accurately and efficiently to generate menu, really
Determine nutritious food, improves the specific aim of operation efficiency and nutritious food.
In order to further increase the accuracy of the present embodiment nutritious food generation method, in terms of data comparison, in conjunction with Fig. 2 or
Fig. 3 compares constitution data or breast milk data with standard parameter, when generating comparing result, the specific implementation process is as follows：
Constitution data and physical fitness standard parameter are compared, constitution data judging result is generated.
Breast milk data and breast milk standard parameter are compared, breast milk data judging result is generated.
According to comparing result, when generating menu, the specific implementation process is as follows：
According to constitution data judging result or breast milk data judging result, corresponding proportioning undated parameter is transferred, further according to
Undated parameter is matched, menu is generated.
Here, the present embodiment nutritious food generation method, by being compared with physical fitness standard parameter, breast milk standard parameter,
Judging result is generated, and transfers corresponding proportioning undated parameter, comparison update item by item, to accurately generate menu.
For example, in conjunction with Fig. 2, by BMI values, body fat value, lactones value and the weight value in constitution data respectively with BMI standard models
It encloses, body fat critical field, lactones critical field and weight standard range are compared：
If BMI values are higher than lactones critical field higher than BMI critical fields, body fat value higher than body fat critical field, lactones value
And weight value is higher than weight standard range, then constitution data judging result is height.Such as BMI values higher than 24, body fat value higher than 28%,
Lactones value is higher than 9 and weight value is higher than the 20% of standard weight, then constitution data judging result is height.
When lactones value is higher than 9, then transfer " 1, as possible based on seafood, red meat；2, the oil slick of Tang Pinshang will be reduced and be taken the photograph
Take ", menu is updated with this.
When BMI values are higher than 24, then " meat absorbs moderate reduction deal " is transferred, menu is updated with this.
When body fat value is higher than 28%, then transfers " as possible based on seafood, red meat ", menu is updated with this.
Weight value be higher than standard weight 20% when, then transfer " 1, meat intake moderate reduction deal；2, diet is clear
It is light ", menu is updated with this.
If BMI values are in BMI critical fields, body fat value is in body fat critical field, lactones value is in lactones standard
In range and weight value is within the scope of weight standard, then constitution data judging result is standard.As BMI values are higher than 18.5 and low
It is higher than 25% in 24, body fat value and is in the model of standard weight ± 20% less than 28%, lactones value higher than 4 and less than 9, weight value
In enclosing, then constitution data judging result is standard, and menu is without update.
If BMI values are less than lactones critical field less than BMI critical fields, body fat value less than body fat critical field, lactones value
And weight value is less than weight standard range, then constitution data judging result is low.As BMI values are less than less than 18.5, body fat value
25%, lactones value is less than the 20% of standard weight less than 4, weight value, then constitution data judging result is low.
When lactones value is less than 4, then " increasing production amount of exercise " is transferred, menu is updated with this.
When BMI values are less than 18.5, then transfer " it is balanced to absorb, menu is updated with this.
When body fat value is less than 25%, then " increasing production amount of exercise " is transferred, menu is updated with this.
When weight value is less than the 20% of standard weight, then " every part of increase 100g of meat " is transferred, menu is updated with this.
In conjunction with Fig. 3, by fat value, protein value and the lactose value in breast milk data respectively with adiposity range, albumen mark
Quasi- range and lactose critical field are compared：
If fat value is higher than adiposity range, protein value are higher than protein standard range and lactose value is higher than lactose standard model
It encloses, then breast milk data judging result is height.As fat value is higher than, 5.4, protein value is higher than 0.9 and lactose value is higher than 8%, then breast milk
Data judging result is height.
Lactose value be higher than 8% when, then transfer " 1, reduce sweet food intake；2, balanced intake ", updates menu with this.
When fat value is higher than 5.4, then transfer " 1, as possible based on seafood, red meat；2, the oil slick of Tang Pinshang will be reduced and be taken the photograph
Take ", menu is updated with this.
Protein value be higher than 0.9 when, then transfer " 1, reduce egg (albumen) intake；2, the intake of moderate reduction meat
Amount ", updates menu with this.
If fat value is within the scope of adiposity, protein value is within the scope of protein standard and lactose value is in lactose mark
In quasi- range, then breast milk data judging result is standard.As fat value is higher than 2.8 and higher than 0.8 and low less than 5.4, protein value
In 0.9 and lactose value higher than 7% and be less than 8%, then breast milk data judging result be standard, menu without update.
If fat value is less than adiposity range, protein value are less than protein standard range and lactose value is less than lactose standard model
It encloses, then breast milk data judging result is low.As fat value is less than, 2.8, protein value is less than 0.8 and lactose value is less than 7%, then breast milk
Data judging result is low.
When lactose value is less than 7%, then transfer " 1, more intake pig's feet soup (every part of increase 150g)；2, appropriateness increases sweet tea
Food ", updates menu with this.
When fat value is less than 2.8, then transfer " 1, the intake of meat soup：Every part of increase 150g；2, pork, pork liver are taken the photograph
Taken amount：Every part of increase 100g ", updates menu with this.
Protein value be less than 0.8 when, then transfer " 1, increase egg (albumen) intake；2, appropriateness increases the intake of red meat
Amount (every part of increase 100g) ", updates menu with this.
For calcium, iron and the Zn content in breast milk data, the present embodiment nutritious food generation method concrete processing procedure is as follows：
After obtaining breast milk data, before generating menu, by calcium content value, iron content value and the Zn content in breast milk data
Value is compared with standard calcium range, iron critical field and zinc critical field respectively：
If calcium content value is less than standard calcium range, iron content value are less than iron critical field and Zn content value is less than zinc standard model
It encloses, then breast milk data judging result is low.As calcium content value is less than, 173, iron content value is less than 1.52 and Zn content value is less than
0.75, then breast milk data judging result is low.
When Zn content value is less than 0.75, then transfer " appropriateness increases the high food of Zn content, including：A1 dishes, A2 dishes are (every
Part increases 100g) ", menu is updated with this.
When calcium content value is less than 173, then transfer " appropriateness increases the high food of calcium content, including：C1 dishes, (every part of C2 dishes
Increase 100g) ", menu is updated with this.
When iron content value is less than 1.52, then transfer " appropriateness increases the high food of iron content, including：B1 dishes, B2 dishes are (every
Part increases 100g) ", menu is updated with this.
For constitution data, the present embodiment nutritious food generation method can also analyze physical age, to be carried to tester
For moving prompt message, after obtaining constitution data, before generating menu, according to constitution data, the body year of tester is determined
Age.
Physical age is compared with the actual age of the tester, generates amount of exercise prompt message.
In terms of the audit of menu, in conjunction with Fig. 4, the present embodiment nutritious food generation method audits dish after generating menu
Spectrum：If the audit fails, menu is adjusted.For example, receiving the adjustment information of nutritionist's input.According to adjustment information,
Update menu.
Here, the present embodiment nutritious food generation method can also audit menu, and it is logical by examining for nutritionist, if examining
Core passes through, then nutritious food generating process terminates, and otherwise, nutritionist can manually adjust, and complete the generating process of nutritious food, with
Further increase the accuracy of nutritious food.
Second aspect, the embodiment of the present invention provide a kind of nutritious food generating means, and in conjunction with Fig. 5, which includes that data obtain
Unit 1, parameter comparison unit 2 and menu generation unit 3 are taken, data capture unit 1 is for obtaining constitution data, breast milk data.
Parameter comparison unit 2 generates comparing result for comparing constitution data or breast milk data with standard parameter.Menu generates
Unit 3 is used to, according to comparing result, generate menu.
As shown from the above technical solution, nutritious food generating means provided in this embodiment, are capable of the constitution of binding test person
Data and breast milk data, are analyzed automatically, determine the comparison situation with standard parameter, accurately and efficiently to generate menu, really
Determine nutritious food, improves operation efficiency.
The third aspect, the embodiment of the present invention provide a kind of nutritious food and generate equipment, the equipment include at least one processor,
At least one processor and computer program instructions stored in memory, when computer program instructions are executed by processor
The above-mentioned nutritious food generation methods of Shi Shixian.
As shown from the above technical solution, nutritious food provided in this embodiment generates equipment, is capable of the constitution of binding test person
Data and breast milk data, are analyzed automatically, determine the comparison situation with standard parameter, accurately and efficiently to generate menu, really
Determine nutritious food, improves operation efficiency.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program
Instruction, above-mentioned nutritious food generation method is realized when computer program instructions are executed by processor.
As shown from the above technical solution, computer readable storage medium provided in this embodiment, is capable of binding test person's
Constitution data and breast milk data, are analyzed automatically, the comparison situation with standard parameter are determined, accurately and efficiently to generate dish
Spectrum determines nutritious food, improves operation efficiency.
In the specification of the present invention, numerous specific details are set forth.It is to be appreciated, however, that the embodiment of the present invention can be with
It puts into practice without these specific details.In some instances, well known method, structure and skill is not been shown in detail
Art, so as not to obscure the understanding of this description.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office
It can be combined in any suitable manner in one or more embodiments or example.In addition, without conflicting with each other, the skill of this field
Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples
It closes and combines.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover in the claim of the present invention and the range of specification.
Claims (10)
1. a kind of nutritious food generation method, which is characterized in that including：
Obtain constitution data, breast milk data；
The constitution data or the breast milk data are compared with standard parameter, generate comparing result；
According to the comparing result, menu is generated.
2. nutritious food generation method according to claim 1, which is characterized in that
The constitution data or the breast milk data are compared with standard parameter, generate comparing result, including：
The constitution data are compared with physical fitness standard parameter, generate constitution data judging result；
The breast milk data are compared with breast milk standard parameter, generate breast milk data judging result；
According to the comparing result, menu is generated, including：
According to the constitution data judging result or the breast milk data judging result, corresponding proportioning undated parameter is transferred；
According to the proportioning undated parameter, menu is generated.
3. nutritious food generation method according to claim 2, which is characterized in that
The constitution data are compared with physical fitness standard parameter, generate constitution data judging result, including：
By BMI values, body fat value, lactones value and the weight value in the constitution data respectively with BMI critical fields, body fat standard model
It encloses, lactones critical field and weight standard range are compared：
If the BMI values are higher than the BMI critical fields, the body fat value higher than the body fat critical field, the lactones value
It is higher than the weight standard range higher than the lactones critical field and the weight value, then the constitution data judging result is
It is high；
If the BMI values are in the BMI critical fields, the body fat value is in the body fat critical field, described interior
Fat value is in the lactones critical field and the weight value is within the scope of the weight standard, then the constitution data are sentenced
Disconnected result is standard；
If the BMI values are less than the BMI critical fields, the body fat value less than the body fat critical field, the lactones value
It is less than the weight standard range less than the lactones critical field and the weight value, then the constitution data judging result is
It is low；
By in the breast milk data fat value, protein value and lactose value respectively with adiposity range, protein standard range and
Lactose critical field is compared：
If the fat value is higher than the protein standard range and the lactose higher than the adiposity range, the protein value
Value is higher than the lactose critical field, then the breast milk data judging result is height；
If the fat value is within the scope of the adiposity, the protein value is within the scope of the protein standard and described
Lactose value is in the lactose critical field, then the breast milk data judging result is standard；
If the fat value is less than the protein standard range and the lactose less than the adiposity range, the protein value
Value is less than the lactose critical field, then the breast milk data judging result is low.
4. nutritious food generation method according to claim 3, which is characterized in that
After obtaining breast milk data, before generating menu, this method further includes：
By calcium content value, iron content value and the Zn content value in the breast milk data respectively with standard calcium range, iron critical field
It is compared with zinc critical field：
If the calcium content value is less than the iron critical field less than the standard calcium range, the iron content value and the zinc contains
Magnitude is less than the zinc critical field, then the breast milk data judging result is low.
5. nutritious food generation method according to claim 1, which is characterized in that
After obtaining constitution data, before generating menu, this method further includes：
According to the constitution data, the physical age of tester is determined；
Physical age is compared with the actual age of the tester, generates amount of exercise prompt message.
6. nutritious food generation method according to claim 1, which is characterized in that
After generating menu, this method further includes：
Audit the menu：
If the audit fails, the menu is adjusted.
7. nutritious food generation method according to claim 6, which is characterized in that
The menu is adjusted, including：
Receive the adjustment information of nutritionist's input；
According to the adjustment information, the menu is updated.
8. a kind of nutritious food generating means, which is characterized in that including：
Data capture unit, for obtaining constitution data, breast milk data；
Parameter comparison unit generates comparison for comparing the constitution data or the breast milk data with standard parameter
As a result；
Menu generation unit, for according to the comparing result, generating menu.
9. a kind of nutritious food generates equipment, which is characterized in that including：It at least one processor, at least one processor and deposits
The computer program instructions in the memory are stored up, are realized such as when the computer program instructions are executed by the processor
Method described in any one of claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is characterized in that when the calculating
The method as described in any one of claim 1-7 is realized when machine program instruction is executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810157166.2A CN108417251A (en) | 2018-02-24 | 2018-02-24 | Nutritious food generation method, device, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810157166.2A CN108417251A (en) | 2018-02-24 | 2018-02-24 | Nutritious food generation method, device, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108417251A true CN108417251A (en) | 2018-08-17 |
Family
ID=63128951
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810157166.2A Pending CN108417251A (en) | 2018-02-24 | 2018-02-24 | Nutritious food generation method, device, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108417251A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120258A (en) * | 2019-05-11 | 2019-08-13 | 成都银光软件有限公司 | Electronic nutritionist's system |
| CN110534178A (en) * | 2019-09-02 | 2019-12-03 | 北京健康有益科技有限公司 | A kind of culinary art guidance system based on image recognition |
| CN111383738A (en) * | 2020-03-06 | 2020-07-07 | 京东方科技集团股份有限公司 | Recipe recommendation method, device, system, equipment and medium for lactation period |
| CN112002388A (en) * | 2020-07-09 | 2020-11-27 | 无锡睿健时代科技有限公司 | Diet recommendation method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105054902A (en) * | 2015-08-28 | 2015-11-18 | 浪潮集团有限公司 | Novel physical examination machine and physique evaluation method thereof |
| CN106960127A (en) * | 2017-03-29 | 2017-07-18 | 黄科钧 | A kind of nutrition dietary analysis system |
| CN107049240A (en) * | 2017-01-18 | 2017-08-18 | 英华达（上海）科技有限公司 | Physical age computational methods and bodily fat measurement system |
| CN107209806A (en) * | 2015-01-07 | 2017-09-26 | 雀巢产品技术援助有限公司 | System for monitoring and DHA levels being alerted to user |
-
2018
- 2018-02-24 CN CN201810157166.2A patent/CN108417251A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107209806A (en) * | 2015-01-07 | 2017-09-26 | 雀巢产品技术援助有限公司 | System for monitoring and DHA levels being alerted to user |
| CN105054902A (en) * | 2015-08-28 | 2015-11-18 | 浪潮集团有限公司 | Novel physical examination machine and physique evaluation method thereof |
| CN107049240A (en) * | 2017-01-18 | 2017-08-18 | 英华达（上海）科技有限公司 | Physical age computational methods and bodily fat measurement system |
| CN106960127A (en) * | 2017-03-29 | 2017-07-18 | 黄科钧 | A kind of nutrition dietary analysis system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120258A (en) * | 2019-05-11 | 2019-08-13 | 成都银光软件有限公司 | Electronic nutritionist's system |
| CN110534178A (en) * | 2019-09-02 | 2019-12-03 | 北京健康有益科技有限公司 | A kind of culinary art guidance system based on image recognition |
| CN111383738A (en) * | 2020-03-06 | 2020-07-07 | 京东方科技集团股份有限公司 | Recipe recommendation method, device, system, equipment and medium for lactation period |
| WO2021175151A1 (en) * | 2020-03-06 | 2021-09-10 | 京东方科技集团股份有限公司 | Recipe recommendation method, apparatus and system for lactation, device and medium |
| CN112002388A (en) * | 2020-07-09 | 2020-11-27 | 无锡睿健时代科技有限公司 | Diet recommendation method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108417251A (en) | Nutritious food generation method, device, equipment and medium | |
| Ezenwa et al. | A reliable body condition scoring technique for estimating condition in African buffalo | |
| CN109636550A (en) | A kind of DIY intelligent cooking control method and system | |
| CN107391947A (en) | A kind of health diet commending system and method | |
| CN108090688A (en) | Intelligent body-building manages system | |
| CN105260594A (en) | Individual nutrition evaluation system | |
| CN107133942A (en) | A kind of medical image processing method based on deep learning | |
| CN107280693A (en) | Psychoanalysis System and method based on VR interactive electronic sand tables | |
| US20200342977A1 (en) | System, computer-readable storage medium, and method | |
| CN110503635A (en) | A kind of hand bone X-ray bone age assessment method based on isomeric data converged network | |
| CN107133457A (en) | intelligent cooking method, device and equipment | |
| CN109785944A (en) | Hospital evaluation method and Related product based on data analysis | |
| CN109741316A (en) | Medical image intelligently comments piece system | |
| CN108288495A (en) | A kind of dietary management system and method | |
| CN109978000A (en) | A kind of classification AI implementation method and electronic equipment based on graphic programming tool | |
| CN110188336A (en) | A kind of method and apparatus that expense report is generated based on OA request slip | |
| CN106202901A (en) | Stone age remote online interpreting system | |
| US20220022778A1 (en) | System and methods for providing personalized workout and diet plans | |
| CN103593575B (en) | Medical advice reminding method and medical advice reminding system | |
| Gao et al. | Research on food recognition of smart refrigerator based on SSD target detection algorithm | |
| CN110491490A (en) | A kind of doctor's appraisal procedure and device | |
| CN107300509A (en) | A kind of system that can measure fuel value of food and nutritive value | |
| CN109522858A (en) | Plant disease detection method, device and terminal device | |
| CN105528618B (en) | A kind of short picture text recognition method and device based on social networks | |
| Ronen | The trade-enhancing effects of non-tariff measures on virgin olive oil |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180817 |