CN107658001A - A kind of home-use oily health control method and system - Google Patents
A kind of home-use oily health control method and system Download PDFInfo
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- CN107658001A CN107658001A CN201710936543.8A CN201710936543A CN107658001A CN 107658001 A CN107658001 A CN 107658001A CN 201710936543 A CN201710936543 A CN 201710936543A CN 107658001 A CN107658001 A CN 107658001A
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Abstract
The invention discloses a kind of home-use oily health control method and system, the management method to include：Receive the home-use oily data in a period of time for carrying out user terminal and store into database, the home-use oily data are included with oily log information；Home-use oily statistical result is generated based on the home-use oily data, and is fed back to user terminal with oily statistical result；Home-use oily data at least based on reception carry out cluster calculation using the health model feature pre-set, are clustered subscriber household to health model in pre-established health model storehouse, corresponding with the health model feature to match according to the health model feature to match；The decision Tree algorithms associated using the health model with subscriber household produce healthy decision-making, and send healthy scheme to user terminal based on healthy decision-making.
Description
Technical field
The present invention relates to health control technical field, and in particular to a kind of home-use oily health control method and system.
Background technology
It is healthy closely bound up in the use and people's daily life of eating at home oil.With the development of China's economic, closely
People's lives water product increasingly improve within 30 years, and Chinese's daily consumption oil intake reaches the 62g/ man days, is health oil standard
2.48 times, be 1.26 times of U.S.'s daily consumption oil intake, is 4.13 times of Japan.Edible oil intake is excessively buried huge
Healthy hidden danger, China's obesity, three height, the diabetes chronic diseases incidence of disease already exceed the U.S., and significantly leading Japan at present.By
Numerous in population base, chronic diseases in China number of the infected is more than 200,000,000 people at present, country, society is all caused huge potential negative
Face rings.
Current home oil-control has become big city theme, the daily oil-control theory of people and with oily health knowledge is often
The scattered health and fitness information recognized by approach such as network, magazines, lack of targeted and systematicness.The side of family's oil-control at present
Formula is also to be obtained by graduated oil can every time with the oil mass of oil mostly, then manually recorded by a paper progress, is so held
It is easily caused and is difficult to accurate measurement with oily data, and data are not easy to record, need to spends that more time and user's is unremitting,
Consumer's Experience is have impact on, and what is obtained in practical operation is only often a small number of discrete datas and is difficult to obtain lasting for a long time
Data.In addition, each family is accustomed to having differences with oil, the health status of different home is result in a certain extent also not
Equally, but current acquisition is made it difficult to make and is directed to the mode and the home-use oily mode of statistics of oily health and fitness information
Property scheme, it is difficult to realize targetedly health guiding, more can not systematic control oil mass.
Therefore how based on each family with oily situation even with reference to health status provide it is a set of it is dynamic, system,
Targetedly health management scheme, it is to have technical problem to be solved at present.
The content of the invention
In view of this, it is existing to solve it is an object of the invention to provide a kind of home-use oily health control method and system
There are one or more problems in technology.
According to an aspect of the present invention, there is provided a kind of home-use oily health control method, this method comprise the following steps：
Receive the home-use oily data in a period of time for carrying out user terminal and store into database, the home-use oil
Data are included with oily log information；
Receive the domestic consumer's information for carrying out user terminal and store, domestic consumer's information comprises at least family population
Number information；
Home-use oily statistical result is generated based on the home-use oily data and number in the household information, and to user terminal
The oily statistical result of feedback；
Cluster calculation is carried out based on the health model feature that home-use oily data and domestic consumer's Information Pull are pre-set,
It is in the pre-established multiple health models of the health model feature selecting to match, special with the health model to match
Health model corresponding to sign；
The decision tree associated using the health model with selection produces healthy decision-making, and is based on healthy decision-making to user terminal
Send healthy scheme.
In one embodiment, the healthy scheme includes at least one of following：With oily plan, daily pantry, recipe,
Cooking method, exercise suggestion, healthy living general knowledge, online healthy value-added service.
In one embodiment, domestic consumer's information also includes user's characterization information and/or user health information；It is described
The step of cluster calculation is carried out based on the health model feature that home-use oily data and domestic consumer's Information Pull are pre-set bag
Include：The health model feature pre-set according to home-use oily data and number in the household Information Pull carries out first time cluster,
And clustered again using health model feature according to the user health auxiliary information and/or home-use oily data of renewal；Or
Person carries out first time cluster according to domestic consumer's Information Pull health model feature, and according to the home-use oily data of renewal and/
Or domestic consumer's Information Pull health model feature of renewal is clustered again.
In one embodiment, user's characterization information includes at least one in following information：Height, body weight, the age,
Sex, operation class (of an amplifying stage)；The user health data message includes：Medical history, physical sign parameters and/or the grade that is in a bad way.
In one embodiment, pre-set in the home-use oily data based on reception and domestic consumer's Information Pull
Health model feature was carried out in the step of cluster calculation, and cluster calculation is carried out using k- nearest neighbor clustering algorithms.
In one embodiment, health model is optimized using deep learning algorithm.
In one embodiment, methods described also includes：After health model is selected, it is good for using associated with health model
Health factor scores and its weight carry out health index calculating.
In one embodiment, the health index includes ill index, utilizes following naive Bayesian probability calculation formula
Calculate ill index：Wherein, B is health factor, and Ai is kinds of Diseases, P (Ai| B) table
Show the A in the case where B occursiThe probability of generation, and P (B | Ai) represent in AiThe probability that B occurs in the case of generation, P (Ai) represent
AiProbability, i represents unhealthy type, and n represents data amount check, i.e., with oily family's number.
In one embodiment, methods described also includes：The change of health index is sent to user terminal dynamic, and dynamic is adjusted
The whole healthy scheme sent to user terminal.Dynamic adjust the process of healthy scheme for example including：In user with oily data or record
When entering data and changing, user data can enter different health models according to clustering algorithm, i.e. user data is labeled with not
Same label, because label changes, corresponding healthy scheme can also change.For example, in the data of one family Central Plains
There is member's overweight, with reference to other data item, cluster and give healthy scheme into a model, user changes after half a year
Weight data is not exceeded, then corresponding model changes, the healthy scheme provided also changes.Due to system
The process user such as cluster, labelling can not perceive, so health index concept is introduced in the embodiment of the present invention, by using
The index of user data item is weighted marking, can more intuitively be experienced to user by fraction.
In one embodiment, methods described also includes：Receive the GPS location information of user terminal or inputted from user terminal
Residence information, with the location information based on user terminal or residence information adjust to user terminal send health side
Case.
In one embodiment, methods described also includes：User terminal receives user with oily log information, the use from oil can
Family is included with oil mass and with oily temporal information with oily log information.
In one embodiment, methods described also includes：It is whole to user by least one of following intelligent electronic device
End sends detected data：Intelligent body restatement, intelligent sphygmomanometer, Intelligent blood sugar instrument, Intelligent heart rate meter, intelligent cardiac instrument,
Intelligent bed and Intelligent bracelet, received data is uploaded as user's characterization information and/or user by the user terminal automatically
Health and fitness information.
According to another aspect of the present invention, a kind of also home-use oil of offer is health management system arranged, and the system includes：Service
Device, the computer program that the server includes memory, processor and storage on a memory and can run on a processor,
Method as described before is realized during the computing device described program.
The system may also include the user terminal, and it receives user from oil can and used with oily log information, the user
Oily log information is included with oil mass and with oily temporal information.
The home-use oily health control method and system of the present invention can collect the oily data of use of each family, statistics automatically
Analyze and to the oily statistical result of user feedback, and be directed to each family and with oily condition provide targetedly healthy scheme, from
And in the case where being manually entered excessive data without user, home-use oil health is ensure that, and improve Consumer's Experience.
In addition, the embodiment of the present invention can also provide a set of move based on each family with oily situation and user health situation
State, system, targetedly health management scheme, greatly improve monitoring and the management intensity of user health.
It will be appreciated by those skilled in the art that it is specific to be not limited to the above with the objects and advantages that the present invention realizes
It is described, and according to the above and other purpose described further below that the present invention will be more clearly understood and can realize.
Brief description of the drawings
Refer to the attached drawing, the present invention more purpose, function and advantages will be obtained by the described below of embodiment of the present invention
To illustrate, in the accompanying drawings：
Fig. 1 is the configuration diagram that home-use oil is health management system arranged in one embodiment of the invention；
Fig. 2 is home-use oily health control method flow chart in one embodiment of the invention；
Fig. 3 be one embodiment of the invention server-side database in user data item data content schematic diagram；
Fig. 4 is health model relation schematic diagram in one embodiment of the invention；
Fig. 5 is server end algoritic module schematic diagram in one embodiment of the invention；
Fig. 6 is clustering algorithm schematic diagram in one embodiment of the invention；
The schematic diagram of decision tree in Fig. 7 one embodiment of the invention.
Embodiment
Below, the preferred embodiment of the present invention is described in detail with reference to accompanying drawing.These preferred embodiments are shown
Example is illustrated in the accompanying drawings.The embodiments of the present invention described shown in accompanying drawing and with reference to the accompanying drawings are merely exemplary
, and the technical spirit of the present invention and its primary operational are not limited to these embodiments.
Here, it should also be noted that, in order to avoid having obscured the present invention because of unnecessary details, in the accompanying drawings only
Show and according to the solution of the present invention closely related structure and/or processing step, and eliminate little with relation of the present invention
Other details.
Fig. 1 is the configuration diagram that home-use oil is health management system arranged in one embodiment of the invention.As shown in figure 1, this hair
It is bright to be provided using intelligent oil can, intelligent terminal (or user terminal) and server, the use for subscriber household edible oil
Accurate measurement, data record, statistical analysis, scientific knowledge push and the health work(such as oil custom guide service in all directions
Energy.In Fig. 1,01,02,03 represents the processing of intelligent oil can, intelligent terminal and server end and its progress respectively.Intelligent oil can
Microprocessor (MCU) receive the data of data acquisition unit collection, and calculated and obtained currently with oily data by underlying algorithm,
And can be by the oily data storage of the use calculated in the local database.As an example, data acquisition unit can be provided in
The gravity sensor of oil can bottom, the value that MCU can be measured based on gravity sensor before and after oil use oil mass every time to calculate.In Shen
Please number for 2017107808304, entitled " a kind of liquid container and its fluid flow detection method for showing flow "
In application for a patent for invention, describing a kind of can fall during oil the intelligent oil can of measurement oil mass in real time.Here, the present invention will
Content described in the patent application of Application No. 2017107808304 is all herein incorporated by reference, as
This carried out it is complete, be explicitly described, using the example as another oil can used in the present invention.The oily number of use that oil can detects
According to timestamp, can generate with oily log information.
Intelligent oil can by bluetooth, Wi-Fi or other Radio Transmission Technologys will include with oily day periodically or non-periodically
Home-use oily data including will information are transmitted to the intelligent terminal of user automatically.Certainly, user can also use and carry scale
Oil can obtain and fall the oil mass of oil every time, and be manually entered in intelligent terminal.
Intelligent terminal can utilize wireless communication technology to be sent to server, such as Cloud Server with oily data, and receive clothes
The statistic analysis result of device return of being engaged in and the healthy scheme of push.In addition, intelligent terminal also receives letter of the user by terminal
The data of inputting interface input are ceased, such as subscriber household population, user's characterization information (such as height, body weight, age, sex, work
Classification etc.) and/or user health information (such as physical sign parameters, hypertension, severe diabetes) etc. and it is uploaded to server.Intelligence
The typical case of terminal is portable intelligent electronic equipment or intelligent refrigerator, intelligent television of mobile phone, Pad etc etc.
Intelligent household electronic equipment, the present invention is not limited thereto.
Except the user from intelligent oil can with oily data and home-use amount that the interface through intelligent terminal is manually entered
According to (such as number in the household, user's characterization information and/or user health information) outside, also data can be uploaded by other approach, with
Data fusion is carried out with existing data in server, such as amount of exercise data (such as user can be obtained automatically by intelligent terminal
Every daily motion step number described in the APP of mobile phone, the amount of exercise data such as milimeter number of walking) or by intelligent terminal from intelligent family
Blood pressure, the data such as blood glucose are obtained with Medical Devices, it might even be possible to based on the communication between server from recording user's dependency number
According to another server perform server transmissioning data with oily health control into the present invention, and by the data of transmission and service
Existing data carry out data fusion in device.These data can be formed data item by system, add to the data item of each user
In, abundant data dimension.Simultaneously after the system of server gets these data, one or more levels cluster may be carried out (such as
Two level or three-level cluster etc.), so as to refine the solution provided the user with, make solution more targeted.
Cloud Server is stored to data, statistics and analysis.The software of Cloud Server will be led to oily statistic analysis result
The intelligent terminal that network is issued to user is crossed, user is will be seen that home-use oily long-time statistical trend.In cloud server
The oily knowledge of the multiple health models pre-established, deep learning algorithm, science pantry database and science can be also stored with
Etc. healthy scheme and other push contents.Server provides problem early warning advantageously according to health model, is calculated using based on push
Science is pushed to user by method (it includes decision making algorithm) with the healthy scheme such as oily knowledge, and is optimized using deep learning algorithm
Health model.User can also further input self information by terminal, obtain the health side of more detailed private customization
Case.
The home-use oily health control of server end progress is described more fully below.
The home-use oily health control method flow chart that Fig. 2 performs for server end in one embodiment of the invention, this method
It can be realized using computer software.As shown in Fig. 2 this method comprises the following steps：
Step S210, server receive the home-use oily data in a period of time for carrying out user terminal and stored to data
In storehouse.
For example, user terminal can weekly, monthly/per some months, quarterly or other predetermined amount of time are on server
Pass the once home-use oily data in this week, this month/these months, this season or other predetermined amount of time.The family
It may include with oily data with oily log information, this is included with oil mass and with oily time (timestamp) information with oily daily record.
Step S230, server receive the domestic consumer's information for carrying out user terminal and stored into database.
Domestic consumer's information comprises at least number in the household information, such as two mouthfuls of family, three-person household, a family of five.
In addition to by user terminal uploads number in the household information, domestic consumer can also be inputted by user terminal
In the personal information (or user data) of one or several users upload onto the server, the user data of input may include user
Characterization information and/or user health information, such as may include one or more in following information：Age of user, sex, body
Weight, medical history (such as chronic medical history), operation class (of an amplifying stage).User data is only for example listed herein, can also include other information,
Such as daily blood pressure, blood glucose, heart rate, sleep quality sign health and fitness information.
Because these user data are related to individual privacy, therefore it is that i.e. user can come typing based on the wish of user
To select that by one or more in user terminal typing these information, not typing can also be selected.
In an alternative embodiment of the invention, user terminal can also be with intelligent body restatement, intelligent sphygmomanometer, Intelligent blood sugar
One kind among instrument, Intelligent heart rate meter, intelligent cardiac instrument, intelligent bed, Intelligent bracelet or other human body parameter detecting intelligent artifacts
Or the association of a variety of intelligent artifacts, to obtain the user data that they measure from these intelligent artifacts automatically, so that with
Family in intelligent terminal without being manually entered the user data such as body weight, blood pressure, blood glucose, heart rate, EGC parameter, sleep parameters.
In server end, each family (or user) generation a data (can be described as user data item data), every number
According to can include one or more data item, the content schematic diagram of user data item data in database as shown in Figure 3.For example,
Data item may include slow with oily data, number in the household, kinsfolk's sign information, kinsfolk's health status, kinsfolk
Venereal disease information etc., but the present invention is not limited thereto.If family or user only have recorded a part in all data item
Data item content, it is believed that the data item without logging data item content is sky, it may also be said to which these data item lack.Cause
This, can include different data item classification or quantity in the data of different families or user.It is every in user data item data
The content of one data item can include one or more data item occurrences, be respectively intended to characterize the data item content, such as the height of blood pressure
Low-level or pressure value etc..In Fig. 3, though it is shown that the data item of each user is data item 1~data item n, but reality should
Difference can be had according to the information that user is actually typing with middle, therefore, the present invention is not limited to the data item example in Fig. 3.This
Outside, in the present invention, represent that user data is merely illustrative in the form of data item, user data form of the invention is not limited to
This.
Step S250, server is based on home-use oily data and number in the household information generates home-use oily statistical result,
And fed back to user terminal with oily statistical result.
Server can carry out statistical analysis according to the home-use oily data of user terminal uploads, can analyze：Family Day
Commonly use oily total amount；The usage amount of Morning Afternoon Evening meal day part；According to the moon, season, the usage amount of period in year, usage amount variation tendency etc.
Home-use oily statistical result, above-mentioned statistical result can be the statistical result per capita or whole family to number in the household
The total statistical result of front yard number.While server feedback home-use oily statistical result, it can also feed back and mark to user terminal
Mutatis mutandis oil is with reference to data.
After user terminal receives home-use oily statistical result, the statistical result can be shown in the form of chart etc..Scheming
It can show that standard oil supplies user's reference with reference to data simultaneously in the statistical result of table words displaying.
Step S270, carried out based on the health model feature that home-use oily data and domestic consumer's Information Pull are pre-set
Cluster calculation, subscriber household is clustered in the health model storehouse pre-established into server according to the health model feature to match
, corresponding with the health model feature to match health model.
In embodiments of the present invention, multiple health models are pre-established with the server, and the quantity of health model is for example
More or less individual health models can be also can also be with tens to hundreds of, these health models are storable in strong
In health model library.Each health model can be characterized using health model feature.Health model feature for example can be special with oil
Multiple marks corresponding with least part data item such as sign, user's sign, user health situation, the chronic medical history situation of user are special
Sign, the combination of multiple health model features are used for identifying health model.Different health model features can be provided with different
Match priority.These health models can be based on health model feature and be associated in tree-shaped each other, can also be independent of one another.
Fig. 4 show health model relation schematic diagram in one embodiment of the invention, and in Fig. 4, the numeral behind class is health model label.
Can establish a solidification, accumulation healthy Sample Storehouse for many years in the server, the inside record useful oily situation,
Instruction corresponding to each attributive character such as blood fat, blood glucose, blood pressure, age, sex, eating habit, exercise habit, job category etc.
Practice sample (user data item data) set, the set is the training sample set of clustering algorithm, is establishing the process of health model
In, deep learning is carried out using training sample set, is that each data stamp cluster labels in sample set, that is, knows sample set
In each data and affiliated health model corresponding relation.Attributive character (health model feature) described herein is only to show
Example, the present invention is not limited thereto.
In an embodiment of the present invention, can be extracted from the oily statistics of use and domestic consumer's information of data item form to
Few health model characteristic information corresponding with partial data item, using clustering algorithm by the health model feature of extraction and healthy mould
Health model feature in type is matched, and the applicable health model of subscriber household is determined based on matching result.Different health
Data item corresponding to model is different with the syntagmatic of data item occurrence.
Because userspersonal information is related to the privacy of user, user has the choice of whether to be uploaded, it is therefore desirable to
Can also be strong by the related health status for uploading data and extrapolating current user of oil can, selection in the case of the data missing of family
Health model.If in addition to number in the household information, user via user terminal uploads other users data, is not then servicing
Device receives home-use oily data and generated with that after oily statistical result, can be based only upon with oily statistical result to carry out cluster meter
Calculate, determine the applicable health model of subscriber household.
For example, based on from the synchronous data in oil can end, can be sorted out according to dosage and timestamp, classification can for example wrap
Include：With 0.5 that oil mass is health standards, with 0.8 that oil mass is health standards, with oil mass standard, with oil mass be health standards
1.2 times, be 1.4 times of health standards with oil mass, be 1.6 times of health standards with oil mass, be the 1.8 of health standards with oil mass
Times, be 2.0 times of health standards with oil mass, with oil mass be 2.0 times of health standards with first-class, server can be according to oily special
Sign is clustered, and determines the applicable health model of subscriber household.
Alternatively, it can determine that breakfast is useful with oily proportion, lunch based on the home-use oily data comprising timestamp, server
Proportion, dinner oily proportion etc., server also can determine health model according to each period with oily usage amount characteristic matching, and
Provide the preliminary judgement whether healthy with oil.
If in addition to number in the household information, user subsequently provides detailed individual and family master via intelligent terminal
Domestic consumer's information such as kinsfolk's sign health and fitness information, chronic medical history and daily habits are wanted, then the health control system of server
System can be clustered filtering again.In one embodiment, can be based on being entered with oily data clusters (one-level cluster) basis previous
One step cluster (two level cluster), classification for example including：Healthy class, inferior health class, body-building class, fat reducing class, pregnant class, there is chronic disease
History, chronic disease type, chronic conditions, human body constitution, pursue an occupation etc., so as to correspond to the healthy mould of suitable each level
Type.User several times upload user data or Cloud Server obtain from other external device (ED)s user user data situation
Under, server is it is also possible to carry out three-level even more multistage clustering.In another embodiment, there is new user data typing every time
When, can be heavy based on the userspersonal information that the user data and user for carrying out user terminal subsequently upload via intelligent terminal
Newly clustered, determine health model.
Server first can also carry out first time cluster based on domestic consumer's information that user inputs, and be then based on oil can survey
What is obtained carries out cluster or more level cluster for the second time via what intelligent terminal uploaded with oily data, so that it is determined that health model.
As an example, can be clustered by k- nearest neighbor clustering algorithms：Recorded in the healthy Sample Storehouse of server
There is training sample set, and each data have tag along sort in sample set, that is, know each data in sample set and institute
Belonging to the corresponding relation of health model, the data for the oil being collected into and the relevant information of user terminal are the data of no label,
Can be by each feature of new data compared with feature corresponding to sample intensive data, then algorithm extracts feature in sample set
The tag along sort of most like data (arest neighbors).Preferably, data that can be most like k before only a selection notebook data is concentrated, usual k
10 integer is no more than, finally, the classification that occurrence number is most in k most like data is selected, classifies as new data.Such as
Shown in figure below, if four quadrants in figure below are classified as 4 health models by us respectively, that new data a point is fallen into after calculating
First quartile, then belong to the health model type of quadrant one according to k- nearest neighbor algorithms data a points, as shown in Figure 6.
The data and the data of new typing that the present invention is concentrated using training sample, can be further by studying in depth come excellent
Change health model.Study content in depth, be mainly Statistical Clustering Analysis algorithm by listener clustering each healthy mould into health model storehouse
The hit rate of each model during type, it can be hit by each data item occurrence of Optimized model characteristic information to lift health model
Rate.To hit rate gating limit value, the health model of low hit rate (hit rate threshold value below) can be gradually eliminated, or
Rule of judgment (health model characteristic information) in the health model of low hit rate is adjusted, generates new health model.
By changing clustering algorithm miss data can be made to cluster again.For example, statistics fails the data hit in cluster process,
The value for the data item that can not be clustered is marked, selects immediate health model to be replicated, and adjust health model characteristic information
Generate new health model.The user that will be unable to hit clusters again, instructs all with untill can sorting out per family.If it can not order
Middle crowd exceedes predetermined threshold value certain limit, and system redesigns the condition that the work supplement crawl that someone will can not be sorted out newly
Health model, how many user can be classified as into principle quickly reduces user to be sorted out.
User data is included into different health models by clustering algorithm, such as the class in Fig. 4, the data item number of health model
It is possible to different, now can be understood as the degree difference that becomes more meticulous of health model, tree topology can be formed, it is more downward
Health model data item is more, and precision is higher.
Step S290, the decision tree that server by utilizing associates with the health model of subscriber household produce healthy decision-making, and base
In healthy decision-making healthy scheme is sent to user terminal.
In the embodiment of the present invention, associating for decision tree and health model is pre-established, can be with according to the health model of selection
It is determined that healthy decision-making, so as to send healthy scheme to user terminal based on healthy decision-making.For under same health model
Different user data, different decision-makings, corresponding different healthy scheme can be produced.In the embodiment of the present invention, this expression will
The algorithm of the corresponding relation of the label of the content of push and the label of health model can be described as decision making algorithm, can determine which content
It is pushed to which of which health model user.
The push decision tree schematic diagram associated in this embodiment of the present invention shown in Fig. 7 with health model.The number shown in Fig. 7
The scientific contents stored in storehouse are provided with content tab (such as " class 11 ").Pushing module in server is based on decision tree
Tactic selection goes out to need the healthy scheme pushed.The algorithm of the determination push content of pushing module is mainly the process of a decision-making,
The data of user equivalent to user carry out labeling after being clustered, and the content of typing in advance is according to classifying rules in database
And labeling is carried out, user tag and the corresponding rule of content tab are provided with decision making algorithm, is according to this rule
System can send content to legal user terminal.The healthy scheme that the pushing module provides is serviced mainly by two parts
Composition, Part I are the patch scholar storehouse information of mobile terminal, the information be mainly with healthy diet (diet in such as Fig. 5 improves),
The related healthy scheme of sport health (motion in such as Fig. 5 is recommended), health examination, existence general knowledge, for example, planned with oil,
Daily pantry, recipe, cooking method, exercise suggestion, healthy living general knowledge.It is mass data to paste scholar storehouse information, and constantly more
Newly, it is easy to user constantly to obtain new health knowledge.Part II is on-line expert part.Paste scholar storehouse and on-line expert this
Two parts content all by server end is pushed to user terminal in a manner of servicing and push, and provides the user more humane interior
Hold service., can be worse according to health status or to harsher with oil mass if having the data of multiple users in one family
User is defined to determine health model and select healthy scheme.
It can for example include the letter such as daily oil mass, early, middle dinner oil mass with oil plan in Part I health scheme
Breath.Daily pantry may include：The pantry (including food species and proportioning) of daily breakfast, lunch and dinner；And/or the unit proportion of various food materials
Heat, moisture, protein, fat, dietary fiber, carbohydrate, trace element, the data such as amino acid.System can pass through
User profile and the principle of health standards requirement calculate intake heat, moisture, protein, fat, dietary fiber, carbon hydrate
Thing, trace element, the numerical value of amino acid, and food materials and vegetable progress pantry are chosen using default food materials and vegetable storehouse.Due to
User profile otherness, system, which can be realized, to be adapted to fat-reducing, increases flesh, hypotensive, hypoglycemic, weightening different attribute garnishes scheme.
In an embodiment of the present invention, server can also receive the GPS position information of user terminal from user terminal, with based on user
The positional information selector of terminal be fated ground eating habit pantry.Healthy living general knowledge can be included with oily general knowledge, health
Theory, it is locally stored or the content such as the maintaining good health by scientific methods article of network originating or video.
On-line expert part provides online health primarily directed to sub-health population and healthy people at highest risk for such crowd
Value-added service, such as on-line expert recommendation service, online medical interrogation service (such as expert's volunteer medical consultation service, payment consulting services) or
On-line expert service of registering etc..
Further, in embodiments of the present invention, in order to more intuitively embody the health status of client, of the invention uses oil
Health control method still further comprises following steps：It is determined that after (selection) health model, utilization is default and health model
The associated health score assigning factor and its weight carry out health index calculating.Health index is calculated mainly according to user's body reference
Every corresponding health standards (the health score assigning factor) such as breath, health status, edible oil intake are given a mark, and are based on each health
Proportion (weight) shared by standard calculates the oily health value of the use of user.
In addition, the present invention also sends the change of health index to user terminal dynamic, and dynamic is adjusted and pushed away to user terminal
The healthy scheme sent.That is, the oily data of use and domestic consumer's information that the present invention can constantly update according to user, enter
Mobile state is analyzed, and provides a user health index, statistical information and healthy scheme of change etc..The dynamic adjustment health of the present invention
The process of scheme, it is primarily referred to as when user is changed with oily data or logging data, according to clustering algorithm user data meeting
Into different health models, i.e. user data sticks different labels, because label changes, corresponding healthy scheme
It can change.For example, having member's overweight in the data of one family Central Plains, with reference to other data item, cluster to one
Healthy scheme is given in model, it is not exceeded to have modified weight data by user after half a year, then corresponding model becomes
Change, the healthy scheme of push also changes.Due to Hierarchical Clustering, the process user such as labelling can not perceive, so this
Health index concept is introduced in inventive embodiments, marking is weighted by the index of user data item, by fraction to use
Intuitively experience at family.
In embodiments of the present invention, the dynamic of healthy scheme pushes to the embodiment of rare following three aspect：First, content is
Refresh, system can set the refresh activity to user content push.Second, the data of user's different times be it is different, than
As normal with oil after first trimester oil exceeded 50%, three months, the model that this process corresponds to is change, corresponding
Label also just changes, and decision making algorithm can pass by the content push of different labels.3rd, the content of push, system can count
The ratio read is clicked on, according to statistical result system by the content optimization of ground reading theory, is reclassified.These contents may also push away
Give the user in other health model.
In an alternative embodiment of the invention, a healthy P algorithm for being directed to Bayes is additionally provided.Server
Database can prestore edible oil and the three high crowds of authority, edible oil and cardiovascular and cerebrovascular reciprocal reference coefficient, server
Customer group data also serve as analysis and foundation reference point, with the continuous accumulation of user data, carried out from user data
Excavation will be more meaningful, when data volume reaches certain scale, based on will be become apparent from the relation of oily oil-control and health, for
The index of oil-control also will be more accurate.In embodiments of the present invention, using naive Bayesian probabilistic algorithm formula, class is worked as to calculate
A in the case that Factor B occurs in typei(certain disease is likely to be high fat of blood, hypertension, hyperglycaemia, cardiovascular and cerebrovascular disease) goes out
Existing probability.Final one health index of calculating gives user to refer to for user and subsequent delivery.
In above formula, B is health factor, and Ai is kinds of Diseases, P (Ai| B) represent the A in the case where B occursiOccur
Probability, and P (B | Ai) represent in AiThe probability that B occurs in the case of generation, P (Ai) represent AiProbability, i represents unhealthy type,
N represents data amount check, i.e., with oily family's number.Based on the algorithm, mass data that can be based on all users and user's
Ill Information Statistics go out the more accurate relation with oil and disease, so as to guide taking the photograph for user's science control edible oil more scientificly
Enter, place the generation of disease as far as possible.
Fig. 5 shows the algoritic module schematic diagram of server end health oil management system in one embodiment of the invention.Such as
Shown in Fig. 5, server is based on user data and carries out cluster calculation using cluster arithmetic module, and is utilized based on cluster calculation result
The decision tree associated with health model produces healthy decision-making.In addition, system also has health index computing module, so as to according to
Health model corresponding to family calculates the health index of user.Further, user can also carry out big data analysis, based on many
Family utilizes Bayesian probability algorithm to carry out the calculating of disease probability with oil and disease data, so as to provide a user
Disease risks are prompted, and more scientific the intake for guiding user's science control edible oil.In addition, the system of the present invention can be with profit
The statistics with oily data, ill data etc. of each family is carried out with data storage statistical module, is also based on many families
Data carry out overall data statistics and storage.
The home-use oily health control method and system of the present invention can collect the oily data of use of each family, statistics automatically
Analyze and to the oily statistical result of user feedback, and be directed to each family and with oily condition provide targetedly healthy scheme, from
And in the case where being manually entered excessive data without user, home-use oil health is ensure that, and improve Consumer's Experience.
In addition, the embodiment of the present invention can also provide a set of move based on each family with oily situation and user health situation
State, system, targetedly health management scheme, greatly improve monitoring and the management intensity of user health.
As it was previously stated, the present invention, which utilizes, to realize that home-use oily data are adopted with the intelligent oil can of oil mass by record automatically
Collection, the oily data of relatively each or daily use, long-term statistics improves to health problem more reference value, therefore this hair
It is bright to be based on automatic record and erect health oil management system with oily data with what the intelligent oil can of oil mass gathered.The present invention
System can accurately measure Family Day and commonly use oily data, and measurement results are digitized, electronization, then pass through smart mobile phone
Server is transferred to, using the powerful data storage of server, analysis ability and the information of user individual is combined, can make
Make the oily scheme of the health of complete set.Server by utilizing deep learning algorithm simultaneously, by user data and the scheme formulated
A closed-loop system is formed, with reference to the push of scientific contents, the use habit progressively influence, guided, change user.The present invention's
System helps to change the unhealthy oily method of use used oil custom and theory, form health of people, reduces chronic disease risk.
Also, the present invention can provide more scientific embodiment oil and health or the statistics of disease relationship.
The present invention method and step be not limited to the execution sequence shown in figure, some steps can with order change even can
To carry out parallel.
The each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.In above-mentioned embodiment
In, software or firmware that multiple steps or method can be performed in memory and by suitable instruction execution system with storage come
Realize.If for example, being realized with hardware, with another embodiment, the known following technology in this area can be used
Any one of or their combination realize：With the logic gates for realizing logic function to data-signal from
Logic circuit is dissipated, the application specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene can compile
Journey gate array (FPGA) etc..
The logic and/or step for representing or otherwise describing herein in flow charts, for example, being considered
For the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, with
For instruction execution system, device or equipment (such as computer based system including the system of processor or other can be from instruction
The system of execution system, device or equipment instruction fetch and execute instruction) use, or combine these instruction execution systems, device or
Equipment and use.
Described as described above for one embodiment and/or the feature that shows can be in a manner of same or similar at one or more
Used in a number of other embodiments, and/or the feature in other embodiments is combined or substitutes with the feature in other embodiments
Use.
With reference to the explanation of the invention disclosed here and practice, other embodiment of the invention is for those skilled in the art
It all will be readily apparent and understand.Illustrate and embodiment is to be considered only as exemplary, of the invention true scope and purport is equal
It is defined in the claims.
Claims (14)
1. a kind of home-use oily health control method, it is characterised in that this method comprises the following steps：
Receive the home-use oily data in a period of time for carrying out user terminal and store into database, the home-use oily data
Including with oily log information；
Receive the domestic consumer's information for carrying out user terminal and store, domestic consumer's information is believed including at least number in the household
Breath；
Home-use oily statistical result is generated based on the home-use oily data and number in the household information, and is fed back to user terminal
With oily statistical result；
Cluster calculation is carried out based on the health model feature that home-use oily data and domestic consumer's Information Pull are pre-set, according to
It is in the pre-established health model storehouse of the health model feature selecting that matches, corresponding with the health model feature to match
Health model；
The decision tree associated using the health model with selection produces healthy decision-making, and is sent based on healthy decision-making to user terminal
Healthy scheme.
2. according to the method for claim 1, it is characterised in that：
The healthy scheme includes at least one of following：Built with oily plan, daily pantry, recipe, cooking method, motion
View, healthy living general knowledge, online healthy value-added service.
3. according to the method for claim 1, it is characterised in that：
Domestic consumer's information also includes user's characterization information and/or user health information；
The health model feature pre-set based on home-use oily data and domestic consumer's Information Pull carries out cluster calculation
The step of include：
The health model feature pre-set according to home-use oily data and number in the household Information Pull carries out first time cluster,
And clustered again using health model feature according to the user health auxiliary information and/or home-use oily data of renewal；Or
Person
First time cluster is carried out according to domestic consumer's Information Pull health model feature, and according to the home-use oily data of renewal
And/or domestic consumer's Information Pull health model feature of renewal is clustered again.
4. according to the method for claim 3, it is characterised in that：
User's characterization information includes at least one in following information：Height, body weight, age, sex, operation class (of an amplifying stage)；
The user health data message includes：Medical history, physical sign parameters and/or the grade that is in a bad way.
5. according to the method for claim 1, it is characterised in that：
Carried out in the health model feature that the home-use oily data based on reception and domestic consumer's Information Pull are pre-set
In the step of cluster calculation, cluster calculation is carried out using k- nearest neighbor clustering algorithms.
6. according to the method for claim 1, it is characterised in that methods described also includes：
Optimize health model using deep learning algorithm.
7. according to the method for claim 1, it is characterised in that methods described also includes：
After health model is selected, health index meter is carried out using the health factor scoring associated with health model and its weight
Calculate.
8. according to the method for claim 7, it is characterised in that the health index includes ill index, utilizes following Piao
Plain Bayesian probability calculation formula calculates ill index：
<mrow>
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<mi>A</mi>
<mi>i</mi>
</msub>
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<mi>B</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mrow>
<mi>P</mi>
<mrow>
<mo>(</mo>
<mi>B</mi>
<mo>|</mo>
<msub>
<mi>A</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
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<mo>(</mo>
<msub>
<mi>A</mi>
<mi>i</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<msubsup>
<mi>&Sigma;</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</msubsup>
<mi>P</mi>
<mrow>
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<mi>B</mi>
<mo>|</mo>
<msub>
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Wherein, B is health factor, AiFor kinds of Diseases, P (Ai| B) represent the A in the case where B occursiThe probability of generation, P (B |
Ai) represent in AiThe probability that B occurs in the case of generation, P (Ai) represent AiProbability, i represents unhealthy type, and n represents data
Number, i.e., with oily family's number.
9. according to the method for claim 7, it is characterised in that methods described also includes：
The change of health index is sent to user terminal dynamic, and dynamic adjusts the healthy scheme sent to user terminal.
10. method according to claim 1 or 2, it is characterised in that methods described also includes：
The GPS location information of user terminal or the residence information from user terminal input are received, with determining based on user terminal
Position information or residence information adjust the healthy scheme sent to user terminal.
11. according to the method for claim 1, it is characterised in that methods described also includes：
User terminal from oil can receive user use oily log information, the user with oily log information including use oil mass and with it is oily when
Between information.
12. according to the method for claim 3, it is characterised in that methods described also includes rapid：
Detected data are sent to user terminal by least one of following intelligent electronic device：Intelligent body restatement,
Intelligent sphygmomanometer, Intelligent blood sugar instrument, Intelligent heart rate meter, intelligent cardiac instrument, intelligent bed and Intelligent bracelet, by the user terminal certainly
The dynamic received data that uploads is as user's characterization information and/or user health information.
13. a kind of home-use oil is health management system arranged, it is characterised in that the system includes server, and the server includes storage
Device, processor and storage are on a memory and the computer program that can run on a processor, it is characterised in that：The processing
Device realizes the method as described in any one in claim 1-10 when performing described program.
14. system according to claim 13, it is characterised in that the system also includes the user terminal, and it is from oil
Kettle receives user and uses oily log information, and the user is with oily log information including using oil mass and with oily temporal information.
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| CN201710936543.8A CN107658001B (en) | 2017-10-10 | 2017-10-10 | Household oil health management method and system |
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