CN107729527A - Annual age based on program cloud intelligently matches somebody with somebody the control method and system of milk machine - Google Patents
Annual age based on program cloud intelligently matches somebody with somebody the control method and system of milk machine Download PDFInfo
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- CN107729527A CN107729527A CN201711036958.6A CN201711036958A CN107729527A CN 107729527 A CN107729527 A CN 107729527A CN 201711036958 A CN201711036958 A CN 201711036958A CN 107729527 A CN107729527 A CN 107729527A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
Abstract
Intelligently match somebody with somebody the control method and system of milk machine the invention discloses a kind of annual age based on program cloud, methods described includes：Obtain user profile and milk powder information；The user profile and the milk powder information are uploaded onto the server and carry out discriminatory analysis, and extracts the characteristic information in the user profile and the milk powder information；Matched what is stored in the database of the characteristic information and server with milk scheme, matching way includes directly matching and the calculating matching based on genetic algorithm, generation one most preferably matches somebody with somebody milk scheme, then according to the milk scheme of most preferably matching somebody with somebody to being controlled with milk machine.The present invention is directed to the baby or adult in all ages and classes stage, there is provided is best suitable for milk liquid proportional and the temperature that age bracket people drinks, provides most healthy milk-powder brewing scheme for the growth of user, save the relational learning time of user, improve quality of the life.
Description
Technical field
The present invention relates to a kind of control method and system with milk machine, more particularly, to a kind of based on the complete of program cloud
Age intelligently matches somebody with somebody the control method and system of milk machine.
Background technology
With the development of the society, infant and the elderly are to drinking the demand of milk powder in rapid growth.Reconstitute and be adapted to drink
Milk powder, certain method and steps need to be particular about, including：Take it is boiled after be water-cooled to certain temperature, add appropriate milk
Powder is reconstituted, and is related to the ratio control of water and milk powder, the amount of milk powder that one day needs is drunk and infant here not
With stage to the Susceptible change of water temperature the problems such as.Existing milk-powder brewing mode is, it is necessary to manually learn to match somebody with somebody milk knowledge, then
Milk is formed after milk powder and water are loaded into feeding bottle stirring, manually reconstitutes and is difficult to accurately control amount of milk powder, water consumption and water temperature
System.
Although accurate control to amount of milk powder extensively can be realized with milk machine by what user liked in the market, due to not
The milk powder nutritional amt that needs daily with the infant of age level is simultaneously different, and corresponding milk powder and water ratio it is also different, and
The current milk that can not make suitable user according to the personal information of user with milk machine.
The content of the invention
Milk scheme can be matched somebody with somebody with milk machine according to the stage of growth intelligent control of user it is an object of the invention to provide a kind of
Method and system, provide the user it is most suitable match somebody with somebody milk scheme, from soaking milk powder amount, milk concentration and user's request
Characteristic angle, by the direct matching based on database and the matching primitives based on genetic algorithm, for each each baby of family
The different information of youngster, analyzes its recording of growing up, there is provided the milk combination for being best suitable for the age bracket brews temperature be best suitable for mouthfeel
Degree, it is intended to most healthy milk-powder brewing scheme is provided for baby development, solving milk father wet nurse needs to learn the problem with milk knowledge,
Ensure that milk powder drinks quality.
To achieve the above object, the controlling party of milk machine is intelligently matched somebody with somebody the invention provides a kind of annual age based on program cloud
Method, it the described method comprises the following steps：
S1, obtaining user profile and milk powder information, the user profile includes age, sex, phone, address and mailbox
Information, the milk powder information include milk powder brand and milk powder section information；
S2, the user profile and the milk powder information are uploaded onto the server and carry out discriminatory analysis, extracts the user
Characteristic information in information and the milk powder information；
S3, will be stored in the characteristic information and database and carries out matching primitives with milk scheme, and generation one is most preferably matched somebody with somebody
Milk scheme；
S4, most preferably intelligence of annual age is controlled with milk machine with milk scheme according to described.
It is preferred that age and gender information of the characteristic information of user profile described in step S2 for user, the milk powder
The characteristic information of information is milk powder brand and milk powder section information.
It is preferred that database purchase described in step S3 is with milk scheme：The all ages and classes stage that nutritionist provides
The scheme that baby milk punching provides with scheme and milk powder producing manufacturer.
It is preferred that the matching meter carried out with milk scheme that will be stored in step S3 in the characteristic information and the database
Calculating includes directly matching, and directly matching is exactly that will search most preferably to match somebody with somebody milk side with the characteristic information identical directly in database
Case.
It is preferred that what will be stored in step S3 in user profile, milk powder attributive character and database matches somebody with somebody the progress of milk scheme
With calculating, match somebody with somebody milk scheme with what user profile matched if directly matching not finding, then matched based on genetic algorithm
Calculate.It is described to be comprised the following steps based on genetic algorithm matching primitives：
Construction one includes water temperature, first fitness function of three variables of amount of milk powder and water consumption, while tries to achieve described
All average values with fitness value corresponding to milk scheme stored in database, then using the first fitness function with it is described
The difference of average value constructs the second fitness function, and the second fitness function is the fitness used in genetic algorithm calculating process
Function, the value of the second fitness function is smaller, and show to finally give matches somebody with somebody milk scheme with milk scheme closer to preferable；
Utilize the initialization population with one population scale size of milk schemes generation for N1=50 stored in database；
Crossover operation is carried out to the initialization population, produces the F1 population that population scale size is N2=100；
It is N2=100's that all individuals in the F1 population, which are carried out mutation operation to produce population scale size,
Second filial generation population, all individual fitness values of the second filial generation population are calculated, choose fitness value minimum 50
Parent individuality of the body as population of future generation, is continued cycling through, and repeats intersection and mutation operation；
Until reaching maximum evolutionary generation, it is worth corresponding to three generation water temperature, amount of milk powder and water consumption variables.
Intelligently match somebody with somebody the control system of milk machine, the system bag present invention also offers a kind of annual age based on program cloud
Include：
Data obtaining module, for obtaining user profile and milk powder information；
Analysis module, discriminatory analysis is carried out for the user profile and the milk powder information to be uploaded onto the server, is carried
Take the characteristic information in the user profile and the milk powder information；
Matching primitives module, matching primitives are carried out with milk scheme for will be stored in the characteristic information and database,
Generation one most preferably matches somebody with somebody milk scheme；
Control module, for being most preferably controlled according to described with milk scheme to intelligence of annual age with milk machine.
Wherein described matching primitives module inclusive fitness function unit, initialization of population unit, population cross unit, kind
Group becomes anticoincidence unit；
The fitness function unit be used to constructing one comprising water temperature, three variables of amount of milk powder and water consumption it is first suitable
Response function, while try to achieve all average values with fitness value corresponding to milk scheme stored in the database, Ran Houli
The second fitness function is constructed with the difference of the first fitness function and the average value, the second fitness function is genetic algorithm
The fitness function used in calculating process, the value of the second fitness function is smaller, and show to finally give more connects with milk scheme
Nearly ideal matches somebody with somebody milk scheme；
The initialization of population unit is to be with one population scale size of milk schemes generation using what is stored in database
N1=50 initialization population；
The population cross unit is used to carry out crossover operation to the initialization population, and it is N2 to produce population scale size
=100 F1 population；
The Population Variation unit is used to carry out mutation operation generation kind to all individuals in the F1 population
The second filial generation population that group's scale is N2=100, calculates all individual fitness values of the second filial generation population, chooses
Parent individuality of the 50 minimum individuals of fitness value as population of future generation.
The present invention is compared to the beneficial effect of prior art：
Compared with prior art, the present invention proposes the control method that a kind of intelligence of annual age based on program cloud matches somebody with somebody milk machine
And system, solve the problems, such as that the crowd in all ages and classes stage is potable and differed with milk scheme, ensure that user's punching is matched somebody with somebody
The quality of milk powder, saves young parents and spends in study and brew the milk powder intellectual time, improves the life product of people
Matter.This method obtains user profile and milk powder information first, then will store in these information and data and is carried out with milk scheme
Directly matching or based on genetic algorithm matching primitives, obtain and optimal match somebody with somebody milk scheme.Because the invention has considered milk powder
Age, sex, the milk powder amount of drinking, water consumption and the water temperature of drinking person, so it is to be best suitable for use with milk scheme to finally give
The scheme of the current growth phase in family.
Brief description of the drawings
Fig. 1 is the flow of an embodiment of the control method that the present invention intelligently matches somebody with somebody milk machine based on program mysorethorn existing annual age
Figure；
Fig. 2 is the one of the control system for intelligently matching somebody with somebody milk machine in the annual age existing based on program mysorethorn provided in an embodiment of the present invention
The structure chart of embodiment.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
It is described further below in conjunction with the implementation of accompanying drawing and example to the present invention.
Embodiment one
As shown in figure 1, the flow chart of the intelligent control method with milk machine of the annual age for being the present invention based on program cloud, mainly
Comprise the following steps：
Step S1, obtaining user profile and milk powder information, user profile includes age, sex, phone, address and mailbox
Information, milk powder information include milk powder brand and milk powder section information.
Step S2, user profile and milk powder information are uploaded onto the server and carry out discriminatory analysis, extract user profile and milk
Characteristic information in powder information；Age and gender information of the characteristic information of user profile for user, the feature letter of milk powder information
Cease for milk powder brand and milk powder section information.The not the same year provided with milk scheme for nutritionist stored in the database of server
The scheme that the baby milk punching of age grade section provides with scheme and milk powder producing manufacturer.
Step S3, matching primitives are carried out with milk scheme by being stored in the characteristic information and database of extraction, generate one
Most preferably match somebody with somebody milk scheme, the process of matching primitives specifically includes：
Step S31, directly matched what is stored in characteristic information and database with milk scheme first, i.e., according to user
Age, gender data and milk powder information, directly in database search and the characteristic information identical most preferably match somebody with somebody milk scheme.
Step S32, if directly match it is unsuccessful, based on genetic algorithm matching primitives, first, using in database
Some matches somebody with somebody milk scheme, constructs a fitness function, and generates population scale size N1=50 initialization population, so
Afterwards, crossover operation is carried out to initialization population and produces the F1 population that population scale size is N2=100, to F1
All individuals in population carry out mutation operations and produce the second filial generation population that population scale sizes are N2=100, described in calculating
All individual fitness values of second filial generation population, choose parent of the 50 minimum individuals of fitness value as population of future generation
Individual；Continue cycling through, intersection and mutation operation are repeated, until reaching maximum evolutionary generation.
Specifically, first fitness function, f1=k1*x1^3+k2*x1*x2+k3*x2*x3 are constructed first；x1,
Tri- variables of x2, x3 represent water consumption, amount of milk powder, water temperature respectively, and the span of water consumption is 0~500 milliliter, amount of milk powder
Span is 0~100 gram, and the span of water temperature is three of 40~80 degrees Celsius, k1, k2, k3 representative function expression formulas
Coefficient；Then it is 100 to try to achieve all average values with fitness value corresponding to milk scheme stored in database, suitable using first
The difference of response function and average value 100 constructs the second fitness function：F2=k1*x1^3+k2*x1*x2+k3*x2*x3-
100；Second fitness function is the fitness function used in genetic algorithm calculating process, and the value of the second fitness function is got over
Small, show to finally give matches somebody with somebody milk scheme with milk scheme closer to preferable.
Then, milk scheme is matched somebody with somebody according to what is stored in database, it is N1=50's that initialization, which generates a population scale size,
Initial population, that is, initialize 50 initial solutions.Then by the use of this 50 initial solutions as parent individuality, these parent individualities are entered
Row crossover operation, generate the F1 population that a population scale size is N2=100；Specifically, setting one intersects generally
Rate p=0.7, the random number r between one 0 to 1 is generated, when r is less than or equal to p, algorithm can carry out crossover operation, i.e. x0
=x1+r* (x2-x1), x1 and x2 represent two parent individualities intersected, and x0 represents new individual caused by after intersecting；When
When r is more than p, directly parent individuality is copied among filial generation；Then, whole individuals of F1 population are become
ETTHER-OR operation, i.e. x0=xr1+F*(xr2-xr3), xr1For individual to be made a variation, xr2And xr3It is two differences randomly selected in population
Individual, enter row vector after its vector difference is scaled with individual to be made a variation and synthesize, F is referred to as zoom factor, is set to 0.1；R1, r2 and
R3 is three random numbers, and section is [1, N2]；F1 population can produce a new second filial generation kind after variation
Group, all individual fitness values of the second filial generation population are calculated, choose 50 minimum individuals of fitness value as next
For the parent individuality of population, according to this process, continue cycling through, intersection and mutation operation are repeated, until reaching maximum evolution
Algebraically.Wherein maximum evolutionary generation was arranged to for 1000 generations, and x1 can be generated after 1000 generations of evolving, the value of tri- variables of x2, x3, is divided
It is not the value of water consumption, amount of milk powder, water temperature；
Step S4, according to being most preferably controlled with milk scheme to intelligence of annual age with milk machine for acquisition.
Embodiment two
It is illustrated in figure 2 control system of the intelligence with milk machine of annual age provided in an embodiment of the present invention based on program cloud
Structure chart, for convenience of description, the part related to the embodiment of the present invention is only shown, including：
Data obtaining module 201, for obtaining user profile and milk powder information；
Analysis module 202, discriminatory analysis is carried out for the user profile and the milk powder information to be uploaded onto the server,
Extract the characteristic information in the user profile and the milk powder information；
Matching primitives module 203, based on it will be stored in the characteristic information and database and carry out matching with milk scheme
Calculate, generation one most preferably matches somebody with somebody milk scheme；
Control module 204, for being most preferably controlled according to described with milk scheme to intelligence of annual age with milk machine.
Wherein described matching primitives module 203 specifically includes：
Fitness function unit 2031, initialization of population unit 2032, population cross unit 2033, Population Variation unit
2034；
Fitness function unit 2031, for construct one comprising water temperature, three variables of amount of milk powder and water consumption first
Fitness function, while all average values with fitness value corresponding to milk scheme stored in the database are tried to achieve, then
The second fitness function is constructed using the difference of the first fitness function and the average value, the second fitness function is hereditary calculation
The fitness function used in method calculating process, the value of the second fitness function is smaller, and show to finally give gets over milk scheme
Match somebody with somebody milk scheme close to ideal；
Initialization of population unit 2032, it is N1 using being stored in database with one population scale size of milk schemes generation
=50 initialization population；
Population cross unit 2033, for carrying out crossover operation to the initialization population, producing population scale size is
N2=100 F1 population；
Population Variation unit 2034, kind is produced for carrying out mutation operation to all individuals in the F1 population
The second filial generation population that group's scale is N2=100, calculates all individual fitness values of the second filial generation population, chooses
Parent individuality of the 50 minimum individuals of fitness value as population of future generation.
The present invention realizes intelligent control being operated with milk with milk machine based on program cloud, and solving people needs to learn to match somebody with somebody milk
The problem of knowledge and more difficult control water and milk powder ratio.This method by obtain age, sex that user inputs in client,
Milk powder brand, milk powder section information, user profile and milk powder information are uploaded onto the server, extract characteristic information, and with service
Database purchase is directly matched first with milk scheme in device, directly relatively age, sex, milk powder brand, milk powder section
These information, find and match somebody with somebody milk scheme with user's request information identical；If identical is can not find in database matches somebody with somebody milk scheme,
Initial population, process are so used as with milk scheme by the use of existing in database come matching primitives, the algorithm based on genetic algorithm
Constantly evolutionary computation, ultimately generate preferable result.The control method with milk machine ensure that the user in all ages and classes stage
The milk powder drink formulation of most suitable science can be obtained, solve tradition with milk machine still need user oneself learn match somebody with somebody
The drawbacks of milk knowledge, it ensure that the health of user.
Claims (9)
1. a kind of annual age based on program cloud intelligently matches somebody with somebody the control method of milk machine, it is characterised in that methods described includes following
Step：
S1：Obtain user profile and milk powder information；
S2：The user profile and the milk powder information are uploaded onto the server and carry out discriminatory analysis, extracts the user profile
With the characteristic information in the milk powder information；
S3：It will be stored in the database of the characteristic information and server and carry out matching primitives with milk scheme, generation one is most
It is good to match somebody with somebody milk scheme；
S4：Most preferably intelligence of annual age is controlled with milk machine with milk scheme according to described.
2. a kind of annual age based on program cloud as claimed in claim 1 intelligently matches somebody with somebody the control method of milk machine, it is characterised in that
In step S2, the characteristic information of the user profile includes age and the gender information of user.
3. a kind of annual age based on program cloud as claimed in claim 1 intelligently matches somebody with somebody the control method of milk machine, it is characterised in that
In step S2, the characteristic information of the milk powder information includes milk powder brand and milk powder section information.
4. a kind of annual age based on program cloud as claimed in claim 1 intelligently matches somebody with somebody the control method of milk machine, it is characterised in that
The baby milk punching formula for including all ages and classes stage that nutritionist provides with milk scheme of database purchase described in step S3
The scheme that case and milk powder producing manufacturer provide.
5. a kind of annual age based on program cloud as claimed in claim 1 intelligently matches somebody with somebody the control method of milk machine, it is characterised in that
Matching primitives described in step S3 are directly matching：Searched directly in database and the characteristic information identical most preferably matches somebody with somebody milk
Scheme.
6. a kind of annual age based on program cloud as described in any one of claim 1 to 5 intelligently matches somebody with somebody the control method of milk machine, its
It is characterised by, matching primitives described in step S3 are the matching primitives based on genetic algorithm, the matching primitives based on genetic algorithm
Comprise the following steps：
Construction one includes water temperature, first fitness function of three variables of amount of milk powder and water consumption, tries to achieve in the database
All average values with fitness value corresponding to milk scheme of storage, then utilize the first fitness function and the average value
Difference constructs the second fitness function, and the second fitness function is the fitness function used in genetic algorithm calculating process, the
The value of two fitness functions is smaller, and show to finally give matches somebody with somebody milk scheme with milk scheme closer to preferable；
Utilize the initialization population with one population scale size of milk schemes generation for N1=50 stored in database；
Crossover operation is carried out to the initialization population, produces the F1 population that population scale size is N2=100；
Mutation operations are carried out to all individuals in the F1 population, produce that population scale size is N2=100 the
Two progeny populations, all individual fitness values of the second filial generation population are calculated, choose 50 minimum individuals of fitness value
As the parent individuality of population of future generation, continue cycling through, repeat intersection and mutation operation；
Until reaching maximum evolutionary generation, it is worth corresponding to three generation water temperature, amount of milk powder and water consumption variables.
7. a kind of annual age based on program cloud as claimed in claim 6 intelligently matches somebody with somebody the control method of milk machine, it is characterised in that
The maximum evolutionary generation was 1000 generations.
8. a kind of annual age based on program cloud intelligently matches somebody with somebody the control system of milk machine, it is characterised in that the system includes information
Acquisition module, analysis module, matching primitives module and control module；
Described information acquisition module, for obtaining user profile and milk powder information；
The analysis module, discriminatory analysis is carried out for the user profile and the milk powder information to be uploaded onto the server, is carried
Take the characteristic information in the user profile and the milk powder information；
The matching primitives module, for that will be stored in the database of the characteristic information and server with the progress of milk scheme
With calculating, generation one most preferably matches somebody with somebody milk scheme；
The control module, for being most preferably controlled according to described with milk scheme to intelligence of annual age with milk machine.
9. a kind of annual age based on program cloud as claimed in claim 8 intelligently matches somebody with somebody the control system of milk machine, it is characterised in that
The matching primitives module inclusive fitness function unit, initialization of population unit, population cross unit and Population Variation list
Member；
The fitness function unit is used for construction one and includes water temperature, first fitness of three variables of amount of milk powder and water consumption
Function, while all average values with fitness value corresponding to milk scheme stored in the database are tried to achieve, then utilize
The difference of one fitness function and the average value constructs the second fitness function, and the second fitness function is that genetic algorithm calculates
During the fitness function that uses, the value of the second fitness function is smaller, show to finally give with milk scheme closer to reason
Want to match somebody with somebody milk scheme；
The initialization of population unit is that to utilize in database store be N1=with one population scale size of milk schemes generation
50 initialization population；
The population cross unit is used to carry out crossover operation to the initialization population, and it is N2=to produce population scale size
100 F1 population；
The Population Variation unit is used to carry out all individuals in the F1 population mutation operation generation population rule
Mould size is N2=100 second filial generation population, calculates all individual fitness values of the second filial generation population, chooses and adapts to
Parent individuality of the 50 minimum individuals of angle value as population of future generation.
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| CN110213332A (en) * | 2019-04-29 | 2019-09-06 | 深圳前海小智萌品科技有限公司 | Intelligent brewing system, method and intelligent terminal |
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| CN110742506A (en) * | 2019-10-08 | 2020-02-04 | 深圳前海小智萌品科技有限公司 | Intelligent milk adjusting control method and system and intelligent milk adjusting device |
| CN110850823A (en) * | 2019-11-08 | 2020-02-28 | 高培（广州）乳业有限公司 | Milk powder production workshop digital integration system and method |
| CN111986779A (en) * | 2020-07-02 | 2020-11-24 | 中山大学 | Menu recommendation method combining multi-target linear programming and genetic algorithm |
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