CN101551805A - Food information analytic system and method - Google Patents
Food information analytic system and method Download PDFInfo
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- CN101551805A CN101551805A CNA2008101033717A CN200810103371A CN101551805A CN 101551805 A CN101551805 A CN 101551805A CN A2008101033717 A CNA2008101033717 A CN A2008101033717A CN 200810103371 A CN200810103371 A CN 200810103371A CN 101551805 A CN101551805 A CN 101551805A
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- 235000013305 food Nutrition 0.000 title claims abstract description 135
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000013507 mapping Methods 0.000 claims abstract description 140
- 238000004458 analytical method Methods 0.000 claims abstract description 39
- 239000000126 substance Substances 0.000 claims abstract description 16
- 230000035479 physiological effects, processes and functions Effects 0.000 claims description 55
- 239000000463 material Substances 0.000 claims description 52
- 230000008676 import Effects 0.000 claims description 15
- 238000007405 data analysis Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 3
- 235000015278 beef Nutrition 0.000 description 5
- 230000037396 body weight Effects 0.000 description 5
- 240000007087 Apium graveolens Species 0.000 description 4
- 235000015849 Apium graveolens Dulce Group Nutrition 0.000 description 4
- 235000010591 Appio Nutrition 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000036541 health Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000037406 food intake Effects 0.000 description 2
- 235000012631 food intake Nutrition 0.000 description 2
- 239000004519 grease Substances 0.000 description 2
- 230000005180 public health Effects 0.000 description 2
- 235000013619 trace mineral Nutrition 0.000 description 2
- 239000011573 trace mineral Substances 0.000 description 2
- 235000010469 Glycine max Nutrition 0.000 description 1
- 244000068988 Glycine max Species 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 206010033307 Overweight Diseases 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 239000008267 milk Substances 0.000 description 1
- 235000013336 milk Nutrition 0.000 description 1
- 210000004080 milk Anatomy 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 208000001022 morbid obesity Diseases 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 244000144977 poultry Species 0.000 description 1
- 235000013594 poultry meat Nutrition 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000004454 trace mineral analysis Methods 0.000 description 1
- 235000013311 vegetables Nutrition 0.000 description 1
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Abstract
The invention discloses a food information analytic system and a food information analytic method. The food information analytic method comprises the steps of obtaining a first mapping relation between body physiological data and substance elements needed by the body according to the data; obtaining a second mapping relation between foods and substance elements contained in the foods; obtaining the body physiological data; confirming the foods corresponding to the body physiological data according to the first mapping relation and the second mapping relation. The technical scheme can obtain dynamic food information adapted to all bodies in different conditions through basic data analysis. The prior shortage that the real-time process of food information data analysis through artificial subjective analysis can not be reached is overcome.
Description
Technical field
The present invention relates to field of information processing, particularly a kind of food information analytic system and method.
Background technology
In the existing technology, when people need know the food intake of oneself, all be to rely on artificial experience or newspapers and periodicals and nutritionist's knowledge to wait simply to judge, can not rely on objective standard analysis; Also can not obtain simultaneously objective food intake information at individuality.
Wish the demand of the food of the required picked-up of detail knowledge oneself also do not have a kind of reliable technique scheme to solve at present for people.
Summary of the invention
The invention provides a kind of food information analytic system and method, can provide the scheme of food information accurately according to individual instances in order to provide a kind of.
The invention provides a kind of food information analytic system, comprising:
Master database is used to store first mapping relations, and described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
The material element database is used to store second mapping relations, and described second mapping relations are mapping relations of food and the contained material element of this food;
The personal information load module is used to import the Human Physiology data;
Analysis module is used for according to second mapping relations in master database first mapping relations and the material element database, determines the food of the Human Physiology data correspondence of described personal information load module input;
Display module is used to show the food title of the Human Physiology data correspondence of described input.
Preferably, further comprise:
The master data acquisition module is used for obtaining from the outside first mapping relations, and is added into master database.
Preferably, further comprise:
The material element data acquisition module is used for obtaining from the outside second mapping relations, and is added into the material element database.
Preferably, further comprise:
The personal information acquisition module is used for after obtaining personal information, transfers to the input of personal information load module.
Preferably, further comprise:
The personal information storage module is used for the food of the Human Physiology data correspondence of the described personal information load module input that the inventory analysis module determines.
Preferably, further comprise:
The ownership goal correcting module is used for importing the target modified value for the user;
Analysis module is further used for according to second mapping relations in first mapping relations in the master database and the material element database and described target modified value, determines the food of the Human Physiology data correspondence of described personal information load module input.
Preferably, described master database further comprises:
The first amount determining unit is used for determining the amount of human body desired substance element under Human Physiology data and this data, and is added into first mapping relations;
Described material element database further comprises:
The second amount determining unit is used for determining the amount of food and the contained material element of this food, and is added into second mapping relations;
Analysis module is further used for determining the amount of the food of the Human Physiology data correspondence that described personal information load module is imported according to second mapping relations of having added amount in first mapping relations of having added amount in the master database and the material element database;
Display module is used to show the food title and the quantity thereof of the Human Physiology data correspondence of described input.
Preferably, further comprise:
Constraints module is used for comprising multiple kind of time-like at the food that analysis module is determined that the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Preferably, further comprise:
User's adjusting module is used for comprising multiple kind of time-like at the food that analysis module is determined, imports the adjusted value of certain group food amount of adjustment for the user;
Constraints module is further used for according to described adjusted value, and the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
The present invention also provides a kind of food information analytic method, comprises the steps:
Obtain first mapping relations, described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
Obtain second mapping relations, described second mapping relations are mapping relations of food and the contained material element of this food;
Obtain the Human Physiology data;
According to first mapping relations and second mapping relations, determine the food of Human Physiology data correspondence.
Preferably, further comprise:
When the user imports the target modified value,, determine the food of Human Physiology data correspondence according to first mapping relations and second mapping relations and described target modified value.
Preferably, further comprise:
Determine the amount of human body desired substance element under Human Physiology data and this data, and be added into first mapping relations;
Determine the amount of food and the contained material element of this food, and be added into second mapping relations;
According to first mapping relations of having added amount and second mapping relations of having added amount, determine the amount of the food of Human Physiology data correspondence.
Preferably, further comprise:
Comprise multiple kind of time-like at the food of determining, the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Preferably, further comprise:
Comprise multiple kind of time-like at the food of determining, import the adjusted value of certain group food amount of adjustment for the user;
According to described adjusted value, the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Beneficial effect of the present invention is as follows:
Technical solution of the present invention can draw adapt, the dynamic food information of individuality with each different situations by the master data analysis.Overcome existing by artificial subjective analysis thereby can not reach the deficiency of food information data analysis, real-time process.
Description of drawings
Fig. 1 is a food information analytic system structural representation described in the embodiment of the invention;
Fig. 2 is the implementing procedure of food information analytic method described in an embodiment of the invention synoptic diagram.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described.
Fig. 1 is the food information analytic system structural representation, as shown in the figure, can comprise in the system: master database 101, material element database 102, personal information load module 103, analysis module 104, display module 105, wherein:
Master database 101 is used to store first mapping relations, and described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
Wherein, the Human Physiology data can comprise indexs such as people's height, body weight, sex, race, region, and material element then can comprise: indexs such as protein, grease, amino acid, trace element.
Material element database 102 is used to store second mapping relations, and described second mapping relations are mapping relations of food and the contained material element of this food;
Wherein, food can comprise kinds such as staple food, vegetables, poultry, fruit, soya-bean milk, grease.
Personal information load module 103 is used to import the Human Physiology data;
Analysis module 104 is used for according to second mapping relations in master database first mapping relations and the material element database, determines the food of the Human Physiology data correspondence of described personal information load module input;
105 of display modules are used to show the food title of the Human Physiology data correspondence of described input, thus the food information that makes the user can obtain oneself should to absorb.
In analytic system, can further include: master data acquisition module 106, material element data acquisition module 107, personal information acquisition module 108, personal information storage module 109, ownership goal correcting module 110, wherein:
Master data acquisition module 106 is used for obtaining from the outside first mapping relations, and is added into master database.
Wherein, the outside can be channels such as internet, such as the relevant standard of announcing from The World Health Organization (WHO) etc.The standard body weight computing method of announcing as the World Health Organization (WHO) are:
The BMI method that standard body weight is calculated is:
Body mass index=body weight (kilogram-kg)/height (rice-m) square
Normal type: body mass index=18-25
Overweight: body mass index=25-30
Slight fat: body mass index＞30
Moderate obesity: body mass index＞35
Severe obesity: body mass index＞40
Material element data acquisition module 107 is used for obtaining from the outside second mapping relations, and is added into the material element database.
Wherein, the outside can be channels such as the internet or the Ministry of Public Health, gathers and obtains contained material element of various types of food or the like.
Personal information acquisition module 108 is used for after obtaining personal information, transfers to the input of personal information load module.This obtain manner is diversified, as obtaining etc. after the healthcare structure inspection of specialty.
Personal information storage module 109 is used for the food of the Human Physiology data correspondence of the definite described personal information load module input of inventory analysis module.The purpose of storage is, carries out various trace analysises etc. after being used for.
System is when further comprising ownership goal correcting module 110, and ownership goal correcting module 110 is used for importing the target modified value for the user;
At this moment, analysis module 104 also is further used for according to second mapping relations in first mapping relations in the master database and the material element database and described target modified value, determines the food of the Human Physiology data correspondence of described personal information load module input.
Such as, user's target is fat-reducing, perhaps be in the district that nurses a baby, then the user can import the target modified value by the ownership goal correcting module according to the needs of oneself, analysis module just can add this parameter of target modified value and analyzes like this, thereby determine the food information under the target that user oneself sets, better improve user experience.
Further, can further include in the master database 101:
The first amount determining unit is used for determining the amount of human body desired substance element under Human Physiology data and this data, and is added into first mapping relations; In this embodiment, not only provided required material element in first mapping relations, also further provided the required quantity of corresponding material element, make to the Human Physiology data more accurate concrete.
Can further include in the described material element database 102:
The second amount determining unit is used for determining the amount of food and the contained material element of this food, and is added into second mapping relations; In this embodiment, not only provided the contained material element of this food in second mapping relations, also further provided the contained quantity of corresponding material element, make that the data of contained material element are more accurate concrete in the food.
Then under this scheme, analysis module 104 is further used for determining the amount of the food of the Human Physiology data correspondence that described personal information load module is imported according to second mapping relations of having added amount in first mapping relations of having added amount in the master database and the material element database; Under this embodiment, this moment, analysis module not only provided corresponding food, gave the quantity that absorb, more helped the food information that user's operational analysis is come out.
Display module 105 is further used for showing the food title and the quantity thereof of the Human Physiology data correspondence of described input.
Can further include in the analytic system: constraints module 111 is used for comprising multiple kind of time-like at the food that analysis module is determined that the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
For example, trace element Fe is present in the multiple food, as celery, beef or the like, suppose that its every kilogram of content in celery is A, every kilogram of content is B in beef, when supposing to be C according to the Fe that first mapping relations and second mapping relations draw needs so, the quantity E of constraints module control celery and the quantity F of beef make E*A+F*B=C.
Can further include in the analytic system: user's adjusting module 112 is used for comprising multiple kind of time-like at the food that analysis module is determined, imports the adjusted value of certain group food amount of adjustment for the user;
Constraints module 111 is further used for according to described adjusted value, and the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Above example describes again, supposes that the user does not wish to absorb the beef of quantity F, and what its hope obtained is the beef of quantity M, and then the quantity of constraints module control celery is to N, makes M*A+N*B=C.
The embodiment of the invention also provides a kind of food information analytic method, describes below in conjunction with the embodiment of accompanying drawing to this method.
Fig. 2 is a food information analytic method implementing procedure synoptic diagram, as shown in the figure, can comprise the steps: when carrying out food information analytic
Step 203, obtain first mapping relations, described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
In this step, can obtain first mapping relations from the outside, and be added into database and preserve in order to calling, the approach that obtains can be channels such as internet, such as the relevant standard of announcing from the World Health Organization (WHO) etc.
In this step, can obtain second mapping relations from the outside, and be added into database and preserve in order to calling, the approach that obtains can be channels such as the internet or the Ministry of Public Health, gathers and obtains contained material element of various types of food or the like.
In this step, the Human Physiology data can comprise indexs such as people's height, body weight, sex, race, region.
In this step, comprise multiple kind of time-like at the food of determining, the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Further, comprise multiple kind of time-like at the food of determining, after the confession user imported the adjusted value of certain group food amount of adjustment, according to adjusted value, the amount summation of adjusting various types of food was to satisfy the constraint of first mapping relations and second mapping relations.
The present invention also provides a kind of storage medium, can comprise on this storage medium:
Master database is used to store first mapping relations, and described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
The material element database is used to store second mapping relations, and described second mapping relations are mapping relations of food and the contained material element of this food;
The personal information load module is used to import the Human Physiology data;
Analysis module is used for according to second mapping relations in master database first mapping relations and the material element database, determines the food of the Human Physiology data correspondence of described personal information load module input;
Display module is used to show the food title of the Human Physiology data correspondence of described input.
Can further include:
The master data acquisition module is used for obtaining from the outside first mapping relations, and is added into master database.
Can further include:
The material element data acquisition module is used for obtaining from the outside second mapping relations, and is added into the material element database.
Can further include:
The personal information acquisition module is used for after obtaining personal information, transfers to the input of personal information load module.
Can further include:
The personal information storage module is used for the food of the Human Physiology data correspondence of the described personal information load module input that the inventory analysis module determines.
Can further include:
The ownership goal correcting module is used for importing the target modified value for the user;
Analysis module is further used for according to second mapping relations in first mapping relations in the master database and the material element database and described target modified value, determines the food of the Human Physiology data correspondence of described personal information load module input.
Master database on the storage medium can further include:
The first amount determining unit is used for determining the amount of human body desired substance element under Human Physiology data and this data, and is added into first mapping relations;
Described material element database can further include:
The second amount determining unit is used for determining the amount of food and the contained material element of this food, and is added into second mapping relations;
Analysis module is further used for determining the amount of the food of the Human Physiology data correspondence that described personal information load module is imported according to second mapping relations of having added amount in first mapping relations of having added amount in the master database and the material element database;
Display module is used to show the food title and the quantity thereof of the Human Physiology data correspondence of described input.
Can further include on the storage medium:
Constraints module is used for comprising multiple kind of time-like at the food that analysis module is determined that the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Can further include on the storage medium:
User's adjusting module is used for comprising multiple kind of time-like at the food that analysis module is determined, imports the adjusted value of certain group food amount of adjustment for the user;
Constraints module is further used for according to described adjusted value, and the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
One of ordinary skill in the art will appreciate that all or part of function in the above-mentioned enforcement is to instruct relevant hardware to finish by program, these functional modules can be stored in the computer-readable recording medium, storage medium can include but not limited to: ROM (Read Only Memory, ROM (read-only memory)), RAM (Random-Access Memory, random access memory), disk or CD etc.
By above-mentioned enforcement as can be seen, technical solution of the present invention can draw adapt, the dynamic food information of individuality with each different situations by the master data analysis.Overcome existing by artificial subjective analysis thereby can not reach the deficiency of food information data analysis, real-time process.
Can accurately analyze the demand information of the basic nutrient of each individuality exactly according to standard according to each individual basic condition, and the amount and the composition of the combination of the various foods that adapt with demand and concrete nutritional labeling, can also further conclude the result who analyzes, feed back to the user.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (14)
1, a kind of food information analytic system is characterized in that, comprising:
Master database is used to store first mapping relations, and described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
The material element database is used to store second mapping relations, and described second mapping relations are mapping relations of food and the contained material element of this food;
The personal information load module is used to import the Human Physiology data;
Analysis module is used for according to second mapping relations in master database first mapping relations and the material element database, determines the food of the Human Physiology data correspondence of described personal information load module input;
Display module is used to show the food title of the Human Physiology data correspondence of described input.
2, the system as claimed in claim 1 is characterized in that, further comprises:
The master data acquisition module is used for obtaining from the outside first mapping relations, and is added into master database.
3, the system as claimed in claim 1 is characterized in that, further comprises:
The material element data acquisition module is used for obtaining from the outside second mapping relations, and is added into the material element database.
4, the system as claimed in claim 1 is characterized in that, further comprises:
The personal information acquisition module is used for after obtaining personal information, transfers to the input of personal information load module.
5, the system as claimed in claim 1 is characterized in that, further comprises:
The personal information storage module is used for the food of the Human Physiology data correspondence of the described personal information load module input that the inventory analysis module determines.
6, the system as claimed in claim 1 is characterized in that, further comprises:
The ownership goal correcting module is used for importing the target modified value for the user;
Analysis module is further used for according to second mapping relations in first mapping relations in the master database and the material element database and described target modified value, determines the food of the Human Physiology data correspondence of described personal information load module input.
7, as the arbitrary described system of claim 1 to 6, it is characterized in that described master database further comprises:
The first amount determining unit is used for determining the amount of human body desired substance element under Human Physiology data and this data, and is added into first mapping relations;
Described material element database further comprises:
The second amount determining unit is used for determining the amount of food and the contained material element of this food, and is added into second mapping relations;
Analysis module is further used for determining the amount of the food of the Human Physiology data correspondence that described personal information load module is imported according to second mapping relations of having added amount in first mapping relations of having added amount in the master database and the material element database;
Display module is used to show the food title and the quantity thereof of the Human Physiology data correspondence of described input.
8, system as claimed in claim 7 is characterized in that, further comprises:
Constraints module is used for comprising multiple kind of time-like at the food that analysis module is determined that the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
9, system as claimed in claim 8 is characterized in that, further comprises:
User's adjusting module is used for comprising multiple kind of time-like at the food that analysis module is determined, imports the adjusted value of certain group food amount of adjustment for the user;
Constraints module is further used for according to described adjusted value, and the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
10, a kind of food information analytic method is characterized in that, comprises the steps:
Obtain first mapping relations, described first mapping relations are mapping relations of human body desired substance element under Human Physiology data and this data;
Obtain second mapping relations, described second mapping relations are mapping relations of food and the contained material element of this food;
Obtain the Human Physiology data;
According to first mapping relations and second mapping relations, determine the food of Human Physiology data correspondence.
11, method as claimed in claim 10 is characterized in that, further comprises:
When the user imports the target modified value,, determine the food of Human Physiology data correspondence according to first mapping relations and second mapping relations and described target modified value.
12, as claim 10 or 11 described methods, it is characterized in that, further comprise:
Determine the amount of human body desired substance element under Human Physiology data and this data, and be added into first mapping relations;
Determine the amount of food and the contained material element of this food, and be added into second mapping relations;
According to first mapping relations of having added amount and second mapping relations of having added amount, determine the amount of the food of Human Physiology data correspondence.
13, method as claimed in claim 12 is characterized in that, further comprises:
Comprise multiple kind of time-like at the food of determining, the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
14, method as claimed in claim 13 is characterized in that, further comprises:
Comprise multiple kind of time-like at the food of determining, import the adjusted value of certain group food amount of adjustment for the user;
According to described adjusted value, the amount summation of adjusting various types of food is to satisfy the constraint of first mapping relations and second mapping relations.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101033717A CN101551805A (en) | 2008-04-03 | 2008-04-03 | Food information analytic system and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101033717A CN101551805A (en) | 2008-04-03 | 2008-04-03 | Food information analytic system and method |
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| CN101551805A true CN101551805A (en) | 2009-10-07 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106599602A (en) * | 2016-12-29 | 2017-04-26 | 太仓红码软件技术有限公司 | Augmented reality apparatus and method for exhibiting formulated combined marker virtual information |
| CN107563926A (en) * | 2017-09-13 | 2018-01-09 | 尹国和 | A kind of system and implementation method analyzed food selected by user |
| CN109509538A (en) * | 2018-11-05 | 2019-03-22 | 苏州帕诺米克生物医药科技有限公司 | Health control method, device and storage medium |
-
2008
- 2008-04-03 CN CNA2008101033717A patent/CN101551805A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106599602A (en) * | 2016-12-29 | 2017-04-26 | 太仓红码软件技术有限公司 | Augmented reality apparatus and method for exhibiting formulated combined marker virtual information |
| CN106599602B (en) * | 2016-12-29 | 2019-08-27 | 上海德鋆信息科技有限公司 | Show the augmented reality devices and methods therefor for formulating combination marker virtual information |
| CN107563926A (en) * | 2017-09-13 | 2018-01-09 | 尹国和 | A kind of system and implementation method analyzed food selected by user |
| CN109509538A (en) * | 2018-11-05 | 2019-03-22 | 苏州帕诺米克生物医药科技有限公司 | Health control method, device and storage medium |
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