CN109243580A - A kind of hypoglycemic intelligent nutrition catering system and dietary management method - Google Patents
A kind of hypoglycemic intelligent nutrition catering system and dietary management method 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 hypoglycemic intelligent nutrition food preparation method, comprising: according to user's age, intelligent nutrition catering system is divided into age groups, 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 present invention solves the problems, such as that conventional nutraceutical diet abstract, system guarantee the reasonable exchange of the reasonably combined and mutual energy of different classes of food, and diabetic can effectively be helped preferably to control blood glucose, reduce blood lipid.
Description
Technical field
The present invention relates to healthy diet administrative skill fields, and in particular to a kind of hypoglycemic intelligent nutrition catering system and
Dietary management method.
Background technique
Increasingly developed with modernization, these ciril diseases, rich people's disease also gradually increase.Diabetes be by inherent cause,
The various virulence factors of immunologic function disorder, microorganism infection and its toxin, free radical toxin, mental element etc. act on body
Lead to hypoinsulinism, insulin resistance etc. and a series of metabolism such as sugar, protein, fat, water and electrolyte for causing are disorderly
Random syndrome, clinically using hyperglycemia as main feature, typical case may occur in which the performances such as diuresis, more drinks, more food, syntexis, i.e.,
" three-many-one-little " symptom.Wherein dietary therapy is a most important ring in treating diabetes, and reasonable dietary therapy not only can be with
It effectively maintains body normal physiological function, improve glycemic control reduction insulin and hypoglycemic medicine dosage, can more improve entirety
Health status and the risk for reducing diabetic complication.Patient not only needs to adjust the mental balance of oneself, should also learn
Meeting science diet is eaten, and focuses on recuperating under medical treatment the diet of specific lesion.
Carriage, i.e. health education, dietary therapy, drug therapy, insulin therapy, blood glucose prison are driven the five for the treatment of diabetes
In survey, dietary therapy is Primary Care.However, in actual life, self-contr ol effect of the type 2 diabetic patient to diet
It is not very ideal, compliance is relatively low, this is stronger with dietary therapy theoretical property, in actual operation eating habit individual difference
Larger, the unified diet prescription that hospital provides is difficult to execute diabetic in real life related.
Although nutrition and nutrient responsive diseases did a large amount of elaborations to the nutritious food of people, there is no handles
Nutrient content, disease, the standard intake of people are organically connected with menu, also do not carry out numerical value to nutrient content
On analysis, make user hand take nutrition books do not know but how specific nutritious food.The nutrition information of existing propagation
It measures huge, but lacks effective regular, while nutrient diet needs the physical trait referring to eater itself to arrange in pairs or groups in turn vegetable,
And a large amount of nutritional information is only simply enumerated, and can not consider interindividual difference and feature, and for nutrition
For or disease and uncomprehending ordinary populace, itself can not be understood by depending merely on the physical examination of per a period of time or seeing a doctor
The case where situation, endotrophic cellulose content.
Diet catering system calculating in the prior art is cumbersome, and error is larger and is difficult to avoid that, free recipe has been difficult to
At visual and operating performance is poor, is difficult to meet the eating habit demand of diabetic, limits numerous medical workers
With the use of diabetic.
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 hypoglycemic intelligent nutritions to match
Meal system and dietary management method solve the problems, such as that conventional nutraceutical diet abstract, system guarantee the conjunction of different classes of food
Reason collocation and the between each other reasonable exchange of energy can effectively help diabetic preferably to control blood glucose, reduce blood lipid.
The technical solution of present invention realization above-mentioned purpose are as follows:
The present invention provides a kind of hypoglycemic intelligent nutrition food preparation method, 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,
In,
The standard value of breakfast or dinner carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of breakfast or dinner protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.3；
Breakfast or the standard value of dinner fatty (g) are daily pantry gross energy × 0.24 ÷ 9 × 0.3；
The standard value of lunch carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of lunch protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.4；
The standard value of lunch fat (g) is daily pantry gross energy × 0.24 ÷ 9 × 0.4；
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
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 hypoglycemic intelligent nutrition food preparation method, 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,
In,
The standard value of breakfast or dinner carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of breakfast or dinner protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.3；
Breakfast or the standard value of dinner fatty (g) are daily pantry gross energy × 0.24 ÷ 9 × 0.3；
The standard value of lunch carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of lunch protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.4；
The standard value of lunch fat (g) is daily pantry gross energy × 0.24 ÷ 9 × 0.4；
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 for realizing above-mentioned hypoglycemic intelligent nutrition food preparation method, 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, this facilitates universal nutrient diet, mentions
The high public general level of the health.System takes into account many factors for influencing diet such as preference, guarantees the conjunction of different classes of food
Reason collocation and the between each other reasonable exchange of energy.Food preparation method and catering system of the invention can effectively help patient of diabetes
Person preferably controls blood glucose, reduces blood lipid, improves the ability that patient selects food.
Specific embodiment
The present invention is described in further detail combined with specific embodiments below.
Intelligent nutrition catering system 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
| BMI(kg/m2) | Light physical labor | Middle manual labor | Heavy physical labour | |
| It is thin | < 18.5 | 35 | 40 | 45 |
| Normally | 18.5~24.9 | 30 | 35 | 40 |
| It is fat | > 28 | 25 | 30 | 35 |
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 is tested according to experiment, into
Change of blood sugar is small after eating thick coarse cereals, it can slow down the absorption and utilization of starch, can reduce blood glucose, is conducive to diabetes patient's blood
The control of sugar is for diabetic, and wherein nutrient ingredient of food, which has, compares strict requirements, carbon aquation especially in food
The content for closing object cannot be excessively high.But guarantee that patient's food can provide necessary heat again simultaneously.Therefore each section amount when pantry
Calculating according to are as follows: for every meal multicomponent energy ratio set are as follows: carbohydrate 60%, protein 16%, fat 24%.
Therefore, the standard value of breakfast or dinner carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of breakfast or dinner protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.3；
Breakfast or the standard value of dinner fatty (g) are daily pantry gross energy × 0.24 ÷ 9 × 0.3；
The standard value of lunch carbohydrate (g) is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of lunch protein (g) is daily pantry gross energy × 0.16 ÷ 4 × 0.4；
The standard value of lunch fat (g) is daily pantry gross energy × 0.24 ÷ 9 × 0.4；
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
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, fruit: food materials come from fresh fruit and dry fruit, bean product: food materials are from dry beans and product and fresh beans, dairy
Product: food materials come from newborn class and product, vegetables: food materials come from tubers and Tender cauline leaf tongue fur class, meat: food materials come from meat of poultris and
Product and neat of animal and product, fish: food materials come from fish, eggs: food materials come from eggs and product, and solanaceous vegetables: food materials come from
Solanaceous vegetables.
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 hypoglycemic intelligent nutrition food preparation method, 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, wherein
The standard value of breakfast or dinner carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of breakfast or dinner protein is daily pantry gross energy × 0.16 ÷ 4 × 0.3；
The standard value of breakfast or dinner fat is daily pantry gross energy × 0.24 ÷ 9 × 0.3；
The standard value of lunch carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of lunch protein is daily pantry gross energy × 0.16 ÷ 4 × 0.4；
The standard value of lunch fat is daily pantry gross energy × 0.24 ÷ 9 × 0.4；
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
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. the hypoglycemic intelligent nutrition food preparation method of one kind 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. the hypoglycemic intelligent nutrition food preparation method of one kind 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 hypoglycemic intelligent nutrition food preparation method, 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, wherein
The standard value of breakfast or dinner carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.3；
The standard value of breakfast or dinner protein is daily pantry gross energy × 0.16 ÷ 4 × 0.3；
The standard value of breakfast or dinner fat is daily pantry gross energy × 0.24 ÷ 9 × 0.3；
The standard value of lunch carbohydrate is daily pantry gross energy × 0.6 ÷ 4 × 0.4；
The standard value of lunch protein is daily pantry gross energy × 0.16 ÷ 4 × 0.4；
The standard value of lunch fat is daily pantry gross energy × 0.24 ÷ 9 × 0.4；
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. the hypoglycemic intelligent nutrition food preparation method of one kind 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 hypoglycemic intelligent nutrition food preparation method any in claim 1-5, 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.
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 (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109767825A (en) * | 2019-01-31 | 2019-05-17 | 北京卡路里信息技术有限公司 | Diet control method, apparatus, equipment and storage medium |
| CN109935303A (en) * | 2019-03-13 | 2019-06-25 | 北京赛普力量教育科技有限公司 | Diet collocation management of computing method and device |
| CN110379487A (en) * | 2019-07-11 | 2019-10-25 | 麦夫子食品科技(北京)有限公司 | Nutritional regimen management system |
| CN111243708A (en) * | 2020-01-14 | 2020-06-05 | 王睿琪 | System and method for providing individual nutritional requirements for large-scale population |
| CN112071396A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Diet mode intervention method, terminal device and computer readable storage medium |
| CN112071398A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Food recommendation method and device |
| CN112071395A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Food quality assessment method, terminal device, and computer-readable storage medium |
| CN112349388A (en) * | 2020-12-02 | 2021-02-09 | 西湖大学 | Data processing method and device for blood sugar, storage medium and electronic equipment |
| CN113205867A (en) * | 2021-04-28 | 2021-08-03 | 深圳市维士智慧健康管理有限公司 | Juvenile constitution index-oriented digital diet nutrition proportioning method |
| CN115497601A (en) * | 2022-09-27 | 2022-12-20 | 时代特殊医学用途配方食品(深圳)有限公司 | Clinical nutrition intelligent management system, method, device, equipment and storage medium |
| CN117059229A (en) * | 2023-10-09 | 2023-11-14 | 北京健康有益科技有限公司 | Diabetes catering scheme generation method, device, electronic equipment and storage medium |
-
2018
- 2018-11-01 CN CN201811293770.4A patent/CN109243580A/en not_active Withdrawn
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109767825A (en) * | 2019-01-31 | 2019-05-17 | 北京卡路里信息技术有限公司 | Diet control method, apparatus, equipment and storage medium |
| CN109935303A (en) * | 2019-03-13 | 2019-06-25 | 北京赛普力量教育科技有限公司 | Diet collocation management of computing method and device |
| CN110379487B (en) * | 2019-07-11 | 2022-05-13 | 麦夫子食品科技(北京)有限公司 | Nutritional regimen management system |
| CN110379487A (en) * | 2019-07-11 | 2019-10-25 | 麦夫子食品科技(北京)有限公司 | Nutritional regimen management system |
| 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 |
| CN112071398A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Food recommendation method and device |
| CN112071395A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Food quality assessment method, terminal device, and computer-readable storage medium |
| CN112071396A (en) * | 2020-05-09 | 2020-12-11 | 和逊数字健康科技(深圳)有限公司 | Diet mode intervention method, terminal device and computer readable storage medium |
| CN112349388A (en) * | 2020-12-02 | 2021-02-09 | 西湖大学 | Data processing method and device for blood sugar, storage medium and electronic equipment |
| CN113205867A (en) * | 2021-04-28 | 2021-08-03 | 深圳市维士智慧健康管理有限公司 | Juvenile constitution index-oriented digital diet nutrition proportioning method |
| CN115497601A (en) * | 2022-09-27 | 2022-12-20 | 时代特殊医学用途配方食品(深圳)有限公司 | Clinical nutrition intelligent management system, method, device, equipment and storage medium |
| CN115497601B (en) * | 2022-09-27 | 2023-05-02 | 时代特殊医学用途配方食品(深圳)有限公司 | Method, device, equipment and storage medium for intelligent management of clinical nutrition |
| CN117059229A (en) * | 2023-10-09 | 2023-11-14 | 北京健康有益科技有限公司 | Diabetes catering scheme generation method, device, electronic equipment and storage medium |
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