CN109215761A - A kind of the intelligent nutrition catering system and dietary management method of blood pressure lowering - Google Patents
A kind of the intelligent nutrition catering system and dietary management method of blood pressure lowering Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
Abstract
The present invention is a kind of intelligent nutrition food preparation method of blood pressure lowering, comprising: according to user's age, respectively age groups are carried out with the calculating of the standard value and nutriment standard value of Energy intaking；The diet period is selected, and every meal pantry energy is calculated according to each diet period；The carbohydrate of every meal, the standard weights value of protein and fat are calculated according to calculation formula, different finished product vegetables can be provided and recommended according to the various pantry forms of user's interactive selection；Nutritional requirement can be assessed according to the internal database of vegetable or food materials according to the vegetable or food materials and its weight that user inputs, carry out intelligent recommendation according to the vegetable or food materials of input.The diversified principle of system combining foods of the invention, can be effectively reduced blood pressure, and heat is made to be lower than general health adult standard, and the content of each component ingredient sum in rational allocation recipe reaches food diversification；The blood pressure of patient is set to have obtained good control simultaneously.
Description
Technical field
The present invention relates to healthy diet administrative skill fields, and in particular to a kind of intelligent nutrition catering system of blood pressure lowering and
Dietary management method.
Background technique
Hypertension is the most common chronic disease and the most important risk factor of cardiovascular and cerebrovascular diseases, be easy to cause cerebral apoplexy,
Myocardial infarction, heart failure and chronic kidney disease.Influence of the dietary constituents to human blood-pressure is the important class of public health research
Topic.It is numerous research shows that: the dietary factors such as high potassium, high calcium, Gao Mei, low sodium, low cholesterol, low fat and hypertension in diet
Morbidity is in significant negative correlativing relation.
By to hypertension pathogeny and pathogenetic further investigation, it was recognized that nutrition is important to truly having for hypertension
Influence and effect, though and drug decompression have certain effect, have the limitation of dose and type, moreover " there's no such thing as a totally safe medicine ",
Most depressor have different degrees of toxicity and adverse reaction.Therefore regimen is increasingly taken seriously again.For health
Crowd, the habit that is careful in one's diet and nutrient health can play prevention purpose；For light-duty patient, can reach only with regimen
Therapeutic effect；For severe patient, therapeutic effect cannot be fully achieved in drug therapy, also need to cooperate certain regimen.
The non-drug measure that past prevents and treats hypertension mainly limits salt, control weight etc..Studies have shown that even if success
Reach loss of weight target, still there is up to 95% people to be restored to original weight within 5 years.The diet of hypertension is ground
Study carefully, is usually only confined to the research to certain nutrient antihypertensive effect.However, the antihypertensive effect for individually limiting certain nutrient is logical
It is often unobvious；There is an urgent need to dietotherapies that is a kind of comprehensive, simple and easy to do and being effectively depressured by people.
Summary of the invention
In order to overcome the above-mentioned deficiency of the prior art, the purpose of the present invention is to provide a kind of intelligent nutritions of blood pressure lowering to match
Meal system and dietary management method, the diversified principle of system combining foods of the invention, can be effectively reduced blood pressure, make heat
Lower than general health adult's standard, the content of each component ingredient sum in rational allocation recipe reaches food diversification；Simultaneously
The blood pressure of patient is set to have obtained good control.
The technical solution of present invention realization above-mentioned purpose are as follows: a kind of intelligent nutrition food preparation method of blood pressure lowering, the pantry side
Method includes:
Step 1: according to user's age, intelligent nutrition catering system is divided into age groups, respectively to all ages and classes
Group carries out the calculating of the standard value and nutriment standard value of Energy intaking；
Step 2: the selection diet period, and every meal pantry energy is calculated according to each diet period；
Step 3: calculating the carbohydrate of every meal, the standard weights value of protein and fat according to calculation formula,
For each multicomponent energy ratio of breakfast are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy × 0.20 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy × 0.20 ÷ 9 × 0.3；
For each multicomponent energy ratio of lunch are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.4；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.4；
For each multicomponent energy ratio of dinner are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.3；
Step 4, according to day standard intake M=(m1, m2 ... mp) of user's nutrient, the correspondence pantry scheme provided
X (x1, x2 ... xn), makes X to greatest extent close to M according to the following formula:
V-minf (x)=[f1(x), f2(x) ... fp(x)]T
S.t.x ∈ X,
In formula, target F (f1, f2 ... fp) and constraint Rule set RmIt being determined according to user preference, m is that target is total, x1,
X2 ..xn are diet selected by representative, and n is diet quantity.
Further, in said step 1, for the intelligent nutrition catering system of 2-17 years old group, the mark of Energy intaking
Quasi- value and nutriment standard scale are tabled look-up and are measured；For 18-49 years old group, according to input value, height and regulating system were updated to energy
Amount calculation formula calculates the standard value of daily gross energy: gross energy (kcal)=(practical height (cm) -105cm) × K is calculated,
Wherein K is heat correction factor；It is 18-49 years old pantry energy multiplied by correction factor value for 50 years old or more group.
Further, in the step 2, breakfast, lunch, dinner energy ratio 30%:40%:30%；Snack energy is
5-10% is deducted from a upper meal.
The present invention also provides a kind of intelligent nutrition food preparation method of blood pressure lowering, which includes:
Step 1: according to user's age, intelligent nutrition catering system is divided into age groups, respectively to all ages and classes
Group carries out the calculating of the standard value and nutriment standard value of Energy intaking；
Step 2: the selection diet period, and every meal pantry energy is calculated according to each diet period；
Step 3: calculating the carbohydrate of every meal, the standard weights value of protein and fat according to calculation formula, right
In each multicomponent energy ratio of breakfast are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy × 0.20 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy × 0.20 ÷ 9 × 0.3；
For each multicomponent energy ratio of lunch are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.4；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.4；
For each multicomponent energy ratio of dinner are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.3；
Step 4 establishes frame model according to expertise, to the selection of the raw material of foodstuff, choosing in evaluation of nutrition library
Select the food materials of diabetic；
5th step is added preference, frame input model is made to meet season on the basis of the frame model that the 4th step is established
Property, regional and individual character preference；
Step 6: being encoded according to preference frame model to pantry mode, and is solved and dug according to multi-objective Evolutionary Algorithm
Dig the optimal input pattern for meeting target call.
Further, in the 6th step, the current initial food of user's typing is combined, and has N kind food in combination, point
Not Wei R1, R2 ..., in third step calculated carbohydrate, protein and fat standard weights value Bi (i=1,
2 ..., m), the weight that N kind food is respectively necessary for intake is X1, X2 ..., Xn；Above-mentioned numerical value need to meet such as lower inequality:
Qmin≤q1X1+q2X2+q3X3+……+qnXn≤Qmax
k1X1+k2X2+k3X3+……+knXn≤Bk
0≤Rmin≤Ri≤Rmax
K1, k2 ..., kn are R1, the content value of kth kind nutrient in R2 ..., Rn food per unit sample, q1,
Q2 ..., qn R1, R2 ..., calorie value in Rn food per unit sample；RmiAnd RmaxFor minimum flow and highest in every kind of food
Amount.
The present invention also provides a kind of catering system of intelligent nutrition food preparation method for realizing above-mentioned blood pressure lowering, the intelligence
Nutrition catering system includes: user management module, data call module, intelligent pantry module；It is characterized by: data call mould
Block can call the physical condition information of user, electronic health record information, the correlations such as electronic health record information doctor's advice information, audit report
Data will record the key content structuring of project name and record；The intelligence pantry module: can be according to user's interactive selection
Various pantry forms, different finished product vegetable is provided and is recommended；Can according to the vegetable or food materials and its weight that user inputs, according to
The internal database of vegetable or food materials assesses nutritional requirement；Can according to according to input vegetable or food materials to intake weight
Amount makes recommendation.
Further, which further includes establishing frame model according to expertise, to food in evaluation of nutrition library
The selection of the raw material of category, staple food include from cereal and product class, solanaceous vegetables, and fruit includes fresh fruit and dry fruit, bean product packet
Dry beans and product and fresh beans are included, dairy produce includes newborn class and product, vegetables include tubers and Tender cauline leaf tongue fur class, meat packet
Include meat of poultris, neat of animal and product, fish, eggs
The present invention have compared with prior art it is below the utility model has the advantages that
System operatio of the invention is simple, accurate through accurate pantry algorithm science, carries out labeling processing to food materials, adopts
With advanced intelligent algorithm, guarantee that scientific accuracy when food materials intelligence pantry, this method realize that speed is fast, technical requirements are low.
The system changes traditional cafeteria mode, realizes patient and has dinner mobile information, improves service experience and user is satisfied
Degree.
Intelligent nutrition catering system in the present invention is according to the physical trait of eater, such as the eating habit or diet of history
Offset number, data mining nutrient diet input pattern method is convenient and practical, and the solution excavation for efficiently solving input pattern is asked
Topic, while Result is used directly for the selection and input of the terminal user of software.
The diversified principle of system combining foods of the invention, can be effectively reduced blood pressure, make heat lower than general health
Adult's standard, the content of each component ingredient sum in rational allocation recipe reach food diversification；Make the blood pressure of patient simultaneously
Good control is obtained.
Specific embodiment
The present invention is described in further detail combined with specific embodiments below.
The intelligent nutrition catering system of the intelligent nutrition food preparation method of blood pressure lowering in the present invention includes:
User management module: the functions such as user's registration, login, information modification.Membership information include member's age, height,
The various indexs in relation to personalized pantry such as weight, taste preference.
Data call module: the physical condition information of user, electronic health record information, electronic health record information doctor's advice can be called
The related datas such as information, audit report will record the key content structuring of project name and record, and dietary analysis system can be more
Fast, information needed is more accurately extracted.
Evaluation of nutrition library: classified in Provision Store according to the classification of food, classification has: melon, fish, drinks,
Nut fruits, Shrimp waste, tubers, Homonemeae, fresh beans, solanaceous vegetables, cereal and product, newborn class and product, eggs and product are done
Beans and product, meat of poultris and product, neat of animal and product, fresh fruit and dry fruit, Tender cauline leaf tongue fur class etc..
Intelligent pantry module: different finished product vegetables can be provided and recommended according to the various pantry forms of user's interactive selection；
Nutritional requirement can be carried out according to the internal database of vegetable or food materials according to the vegetable or food materials and its weight that user inputs
Assessment carries out intelligent recommendation according to the vegetable or food materials of input.
Information platform: various dietetic nutrition health information articles are provided for user, dietary menu is done for user and health is provided
Information.
Bargain transaction: the vegetable that user can recommend intelligent pantry and Nutrition Evaluation part is chosen, and pays the bill
Equal order operations；Also it can be used as businessman and product placement traded on platform.
Embodiment 1:
Firstly, this system needs every base values for user, including age, height, activity are analyzed.
By this analytic process simulate nutritionist's pantry to patient daily needed for nutrition and heat calculating, acquired results be exactly intelligently
Important indicator needed for pantry.
According to user's age, by the 2-17 years old group that be divided into of intelligent nutrition catering system, 18-49 years old group and 50 years old or more
Group carries out the calculating of the standard value and nutriment standard value of Energy intaking.
For the intelligent nutrition catering system of 2-17 years old group, the standard value and nutriment standard scale of Energy intaking are tabled look-up
It measures:
2-17 years old Energy intaking standard scale (energy value) of table 1-1
2-17 years old intake nutriment standard scale (weight value) of table 1-2
For 18-49 years old group, according to input value, height and regulating system were updated to energy balane formula and calculate daily
The standard value of gross energy:
Calculate gross energy (kcal)=(practical height (cm) -105cm) × K
K is heat correction factor, by the labor intensive and body average daily according to individual for the standard value of the heat of intake
Matter coefficient B MI is modified standard value, obtains more accurate institute's calorific requirement.
Wherein light physical labor is the indoor service person of non-physical work, such as office staff；Middle manual labor is to need
Slightly expend the outwork person of physical strength, such as take-away personnel；Heavy physical labour is pure physical work person, such as construction worker.With
Family needs to carry out the selection of labor intensity according to the occupation of oneself.
Constitutional index BMI is calculated: BMI=actual weight kg/ height m2
Daily pantry gross energy=calculating gross energy-(25g × 9kcal/g)
In above formula, 25g*9kcal/g is represented when the gross energy for needing to absorb from food removes culinary art and is used oil for cooking
Energy.
For 50 years old or more group, the age bracket according to locating for user matched corresponding formula, to the mark of daily gross energy
Quasi- value is calculated.
Table 1-3 the elderly's Energy intaking standard scale (contains 50 years old or more)
Second step selects the diet period, when the time when drink of whole day is divided into six according to normal daily life system rule
Section, and calculate the pantry energy of each period.
Six pantry periods are respectively
Wherein, energy distribution is daily intaked are as follows: breakfast, lunch, dinner energy ratio 30%:40%:30%；Snack: 5-
10%, wherein the energy of snack is to deduct 5-10% from a upper meal.Specially
Breakfast: breakfast energy=daily pantry gross energy (kcal) × 30%；
Lunch: lunch energy=daily pantry gross energy (kcal) × 40%；
Dinner energy=daily pantry gross energy (kcal) × 30%,
Early postprandial snack: snack energy: 5-10% (reduces comparable energy from breakfast),
Snack after lunch: snack energy: 5-10% (reduces comparable energy from lunch),
Snack after dinner: snack energy: 5-10% (reduces comparable energy from dinner).
Third step calculates the carbohydrate of every meal, the standard weights value of protein and fat.It should be noted that control weight,
Heat is limited, for staple food based on cereal, thickness collocation keeps food variety diversification.Carbohydrate is in daily life
Main Energy supply material, taking in excessive carbohydrate energy and providing is more than people's daily life aequum, extra carbon aquation
Conjunction object will be converted in vivo fat deposition and get off, and lead to obesity, cause elevation of the blood pressure.The appropriate intake protein of intake, egg
White matter can produce some amines with boosting in decomposable process, if these amines cannot be timely by kidney
Discharge, will be such that blood pressure increases.The Excess free enthalpy of saturated fatty acid is limited, the leptin of adipose tissue secretion is made through blood-brain barrier
After the receptor of hypothalamus, enhance central sympathetic excitability, Secretion of Catecholamine increases, and blood pressure increases；Leptin is also
Insulin resistance and hyperinsulinemia can be caused, causes hypertension indirectly.For each multicomponent energy ratio of breakfast are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy × 0.20 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy × 0.20 ÷ 9 × 0.3；
For each multicomponent energy ratio of lunch are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.4；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.4；
For each multicomponent energy ratio of dinner are as follows:
The standard value of carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein (g) is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.3；
The standard value of fatty (g) is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.3；
4th step calls the evaluation of nutrition library in database to extract corresponding data, automatically generates goal programming equation, root
According to third step calculated carbohydrate, protein and fat standard weights value, utilize again according to
The preference information at family solves and exports optimal solution, provides pantry evaluation and pantry scheme.
According to day standard intake M=(m1, m2 ... mp) of user's nutrient, the correspondence pantry scheme X that provides (x1,
X2 ... xn), make X to greatest extent close to M according to the following formula:
V-minf (x)=[f1(x), f2(x) ... fp(x)]T
S.t.x ∈ X,
In formula, target F (f1, f2 ... fp) and constraint Rule set RmIt being determined according to user preference, m is that target is total, x1,
X2 ..xn are diet selected by representative, and n is diet quantity.
Embodiment 2:
The first step of the embodiment and embodiment 1 is all the same to third step, the difference is that:
4th step establishes frame model according to expertise, to the selection of the raw material of foodstuff in evaluation of nutrition library,
The food materials that unsuitable diabetes patient is excluded on source, select the food materials of diabetic.Specially staple food: food materials mainly from
Cereal and product class, solanberry: food materials come from solanaceous vegetables, fruit: food materials come from fresh fruit and dry fruit, bean product: food materials are from dry
Beans and product and fresh beans, dairy produce: food materials come from newborn class and product, vegetables: food materials come from tubers and Tender cauline leaf tongue fur class,
Meat: food materials are from meat of poultris and product and neat of animal and product, and fish: food materials come from fish, eggs: food materials from eggs and
Product.
5th step is added preference, frame input model is made to meet season on the basis of the frame model that the 4th step is established
Property, regional and individual character preference.Specifically, particular user further can select those to meet on the basis of model framework
The food materials of seasonal zone property and user preference make the input pattern finally excavated with preference performance in this way, just solve naturally
It has determined the seasonalities of pantry food materials, the function of regionality and individual preference.Step 1: step 2: preference is added, frame is made to input mould
Type meets seasonality, regional and individual character preference.
Step 6: being encoded according to preference frame model to pantry mode, and is solved and dug according to multi-objective Evolutionary Algorithm
Dig the optimal input pattern for meeting target call.
The current initial food of user's typing combines, and has N kind food, respectively R1, R2 ..., Rn in combination, wherein preceding P
Kind food (R1, R2 ..., Rp) is used as breakfast, subsequent Q kind food (Rp+1,Rp+2,...,Rp+q) it is used as lunch, remaining food
Object (Rp+q+1,Rp+q+2,...,Rn) it is used as dinner, the calculated carbohydrate of institute, protein and fatty standard in third step
(i=1,2 ..., m), the weight that this N kind food is respectively necessary for intake is X1, X2 ..., Xn to weight value Bi.And above-mentioned numerical value needs
Meet such as lower inequality:
Qmin≤q1X1+q2X2+q3X3+……+qnXn≤Qmax
k1X1+k2X2+k3X3+……+knXn≤Bk
0≤Rmin≤Ri≤Rmax
K1, k2 ..., kn are R1, the content value of kth kind nutrient in R2 ..., Rn food per unit sample, q1,
Q2 ..., qn is R1, and calorie value in R2 ..., Rn food per unit sample can be obtained by evaluation of nutrition library in invoking server
Out.RmiAnd RmaxFor minimum flow and maximum amount in every kind of food, every kind of food is made to be unlikely to too high or too low.
The implementation of the present invention is not limited to this, and above content according to the invention is known using the ordinary skill of this field
Knowledge and customary means, under the premise of not departing from above-mentioned basic fundamental thought of the invention, the present invention can also make other a variety of shapes
Modification, replacement or the change of formula are all fallen within rights protection value of the present invention.
Claims (7)
1. a kind of intelligent nutrition food preparation method of blood pressure lowering, which is characterized in that the food preparation method includes:
Step 1: according to user's age, being divided into age groups for intelligent nutrition catering system, respectively to age groups into
The calculating of the standard value and nutriment standard value of row Energy intaking；
Step 2: the selection diet period, and every meal pantry energy is calculated according to each diet period；
Step 3: calculating the carbohydrate of every meal, the standard weights value of protein and fat according to calculation formula,
For each multicomponent energy ratio of breakfast are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein is daily pantry gross energy × 0.20 ÷ 4 × 0.3；
The standard value of fat is daily pantry gross energy × 0.20 ÷ 9 × 0.3；
For each multicomponent energy ratio of lunch are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of protein is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.4；
The standard value of fat is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.4；
For each multicomponent energy ratio of dinner are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.3；
The standard value of fat is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.3；
Step 4, according to day standard intake M=(m1, m2 ... mp) of user's nutrient, the correspondence pantry scheme X that provides
(x1, x2 ... xn) makes X to greatest extent close to M according to the following formula:
V-minf (x)=[f1(x), f2(x) ... fp(x)]T
S.t.x ∈ X,
In formula, target F (f1, f2 ... fp) and constraint Rule set RmIt being determined according to user preference, m is that target is total, x1, x2,
It ..xn is diet selected by representative, n is diet quantity.
2. a kind of intelligent nutrition food preparation method of blood pressure lowering according to claim 1, which is characterized in that in the step 1
In, for the intelligent nutrition catering system of 2-17 years old group, the standard value and nutriment standard scale of Energy intaking are tabled look-up and are measured；
For 18-49 years old group, according to input value, height and regulating system were updated to energy balane formula and calculate daily gross energy
Standard value: calculating gross energy (kcal)=(practical height (cm) -105cm) × K, and wherein K is heat correction factor；For 50 years old
Above group is 18-49 years old pantry energy multiplied by correction factor value.
3. a kind of intelligent nutrition food preparation method of blood pressure lowering according to claim 1, which is characterized in that in the step 2
In, breakfast, lunch, dinner energy ratio 30%:40%:30%；Snack energy is to deduct 5-10% from a upper meal.
4. a kind of intelligent nutrition food preparation method of blood pressure lowering, which is characterized in that the food preparation method includes:
Step 1: according to user's age, being divided into age groups for intelligent nutrition catering system, respectively to age groups into
The calculating of the standard value and nutriment standard value of row Energy intaking；
Step 2: the selection diet period, and every meal pantry energy is calculated according to each diet period；
Step 3: the carbohydrate of every meal, the standard weights value of protein and fat are calculated according to calculation formula, for morning
Each multicomponent energy ratio of meal are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein is daily pantry gross energy × 0.20 ÷ 4 × 0.3；
The standard value of fat is daily pantry gross energy × 0.20 ÷ 9 × 0.3；
For each multicomponent energy ratio of lunch are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of protein is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.4；
The standard value of fat is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.4；
For each multicomponent energy ratio of dinner are as follows:
The standard value of carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of protein is daily pantry gross energy gross energy × 0.2 ÷ 4 × 0.3；
The standard value of fat is daily pantry gross energy gross energy × 0.2 ÷ 9 × 0.3；
Step 4 establishes frame model according to expertise, and to the selection of the raw material of foodstuff in evaluation of nutrition library, selection is suitable
The food materials of suitable diabetes patient；
5th step is added preference, frame input model is made to meet seasonality, area on the basis of the frame model that the 4th step is established
Domain property and individual character preference；
Step 6: being encoded according to preference frame model to pantry mode, and is solved and excavated most according to multi-objective Evolutionary Algorithm
The excellent input pattern for meeting target call.
5. a kind of intelligent nutrition food preparation method of blood pressure lowering according to claim 4, which is characterized in that in the 6th step
In, the current initial food of user's typing combines, and has N kind food in combination, is calculated in respectively R1, R2 ..., third step
(i=1,2 ..., m), N kind food is respectively necessary for taking in the standard weights value Bi of carbohydrate out, protein and fat
Weight be X1, X2 ..., Xn；Above-mentioned numerical value need to meet such as lower inequality:
Qmin≤q1X1+q2X2+q3X3+……+qnXn≤Qmax
k1X1+k2X2+k3X3+……+knXn≤Bk
0≤Rmin≤Ri≤Rmax
K1, k2 ..., kn are R1, the content value of kth kind nutrient in R2 ..., Rn food per unit sample, q1, q2 ...,
Qn is R1, R2 ..., calorie value in Rn food per unit sample；RmiAnd RmaxFor minimum flow and maximum amount in every kind of food.
6. a kind of catering system for realizing the intelligent nutrition food preparation method of any blood pressure lowering in claim 1-5, the pantry
System includes: user management module, data call module, intelligent pantry module；It is characterized by: data call module can be called
The physical condition information of user, electronic health record information, the related datas such as electronic health record information doctor's advice information, audit report will
Record the key content structuring of project name and record；The intelligence pantry module: can be according to the various of user's interactive selection
Pantry form provides different finished product vegetables and recommends；Can according to the vegetable or food materials and its weight that user inputs, according to vegetable or
The internal database of food materials assesses nutritional requirement；Can according to according to input vegetable or food materials to intake weight make
Recommend.
7. catering system according to claim 6, it is characterised in that: the catering system further includes being established according to expertise
Frame model, to the selection of the raw material of foodstuff in evaluation of nutrition library, staple food includes from cereal and product class, solanaceous vegetables, water
Fruit includes fresh fruit and dry fruit, and bean product include dry beans and product and fresh beans, and dairy produce includes newborn class and product, vegetables include
Tubers and Tender cauline leaf tongue fur class, meat include meat of poultris, neat of animal and product, fish, eggs.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109814453A (en) * | 2019-01-22 | 2019-05-28 | Oppo广东移动通信有限公司 | Recipe generation method and relevant apparatus |
| CN111243708A (en) * | 2020-01-14 | 2020-06-05 | 王睿琪 | System and method for providing individual nutritional requirements for large-scale population |
| CN112071397A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Diet quality evaluation method, terminal device and computer-readable storage medium |
| CN115527652A (en) * | 2022-09-30 | 2022-12-27 | 复旦大学 | Human health data management system based on artificial intelligence |
-
2018
- 2018-11-01 CN CN201811293951.7A patent/CN109215761A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109814453A (en) * | 2019-01-22 | 2019-05-28 | Oppo广东移动通信有限公司 | Recipe generation method and relevant apparatus |
| CN111243708A (en) * | 2020-01-14 | 2020-06-05 | 王睿琪 | System and method for providing individual nutritional requirements for large-scale population |
| CN111243708B (en) * | 2020-01-14 | 2024-04-12 | 王睿琪 | System and method for providing large-scale crowd with nutrition requirements meeting individual requirements |
| CN112071397A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Diet quality evaluation method, terminal device and computer-readable storage medium |
| CN115527652A (en) * | 2022-09-30 | 2022-12-27 | 复旦大学 | Human health data management system based on artificial intelligence |
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