CN105426477B - Food preparation method based on cloud service platform and intelligent refrigerator - Google Patents
Food preparation method based on cloud service platform and intelligent refrigerator Download PDFInfo
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- CN105426477B CN105426477B CN201510796837.6A CN201510796837A CN105426477B CN 105426477 B CN105426477 B CN 105426477B CN 201510796837 A CN201510796837 A CN 201510796837A CN 105426477 B CN105426477 B CN 105426477B
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- 235000013305 food Nutrition 0.000 title claims abstract description 31
- 238000002360 preparation method Methods 0.000 title claims abstract description 10
- 235000021158 dinner Nutrition 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims abstract description 17
- 235000013311 vegetables Nutrition 0.000 claims description 26
- 241000251468 Actinopterygii Species 0.000 claims description 8
- 235000013372 meat Nutrition 0.000 claims description 8
- 235000016709 nutrition Nutrition 0.000 claims description 8
- 235000014347 soups Nutrition 0.000 claims description 8
- 239000004615 ingredient Substances 0.000 claims description 6
- 235000012054 meals Nutrition 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 3
- 230000001195 anabolic effect Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000003860 storage Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 5
- 235000005911 diet Nutrition 0.000 description 2
- 230000037213 diet Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 230000035764 nutrition Effects 0.000 description 2
- 241000219112 Cucumis Species 0.000 description 1
- 235000015510 Cucumis melo subsp melo Nutrition 0.000 description 1
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
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Abstract
The present invention relates to intelligent appliance system fields, provide a kind of food preparation method based on cloud service platform and intelligent refrigerator, have dinner data from trend user's recommending recipes according to user's input.The present invention includes the following steps: that a. client data that will have dinner upload to cloud service platform；B. cloud service platform carries out the cloud computing of recipe recommendation according to the data of having dinner of upload, obtains recommending recipes；C. cloud service platform inquires the food materials database of intelligent refrigerator according to each recommending recipes, and is ranked up according to the information inquired to all recommending recipes, obtains recommending recipes list；D. the graph text information of recommending recipes list and all recommending recipes is handed down to client by cloud service platform.The present invention is suitable for the intelligent appliance system based on cloud service platform.
Description
Technical field
The present invention relates to intelligent appliance systems, in particular to the food preparation method based on cloud service platform and intelligent refrigerator.
Background technique
With the continuous promotion of living standard, people increasingly pay close attention to health, to the nutrition of food height increasingly by weight
Depending on Household diet is directly related to the health and quality of life of kinsfolk, and people ask in addition to food is deposited stating for refrigerator
Outside storage and fresh-keeping demand, it is also desirable to the method for obtaining quick Fabrication not only palatable but also nutrition food.
With universal, the management information of refrigerator offer storage food, according to season, weather, nutritional ingredient of intelligent appliance
The reasonably combined storage food materials of intelligence are selected to the development trend of the following refrigerator for user, so that the design of refrigerator more human nature
Change, improves the competitiveness of product in market.
Summary of the invention
The technical problem to be solved by the present invention is a kind of food preparation method based on cloud service platform and intelligent refrigerator is provided,
Data are had dinner from trend user's recommending recipes according to user's input.
To solve the above problems, the technical solution adopted by the present invention is that: the pantry based on cloud service platform and intelligent refrigerator
Method includes the following steps:
A. the client data that will have dinner upload to cloud service platform；
B. cloud service platform carries out the cloud computing of recipe recommendation according to the data of having dinner of upload, obtains recommending recipes；
C. cloud service platform inquires the food materials database of intelligent refrigerator according to each recommending recipes, and according to the information inquired
All recommending recipes are ranked up, recommending recipes list is obtained；
D. the graph text information of recommending recipes list and all recommending recipes is handed down to client by cloud service platform.
Further, the data of having dinner include the time having dinner, number, season.
The cloud computing of step b recipe recommendation, the specific steps are as follows:
B1. first time screening is carried out to the vegetable database in server according to time for eating meals, is formed and recommends vegetable data
Library A；
B2. it is formed to recommending vegetable database A to be screened again according to current season and recommends vegetable database B；
B3. it carries out meat or fish, element, soup dish product to the vegetable recommended in vegetable database B to classify, and according to number and nutritional ingredient
Vegetable is combined to form different recommending recipes；
Further, for step b3 in carrying out recipe anabolic process, meat or fish, element, soup class vegetable are each according to redundancy principle
Class retains 1 to 2 vegetable alternately.
Further, step c specific steps include: the food materials according to needed for each recommendation menu, successively inquire intelligent refrigerator
Food materials database, if there is meet it is current recommend menu needed for whole food materials, then promoted it is current recommend menu priority, and
It is higher to can satisfy quantity more multipriority, is finally completed the sequence of recommending recipes, obtains recommending recipes list.
Preferably, the client is smart phone or PAD.
The beneficial effects of the present invention are: carrying out cloud computing, energy to the data of having dinner that client uploads by cloud service platform
It enough helps user to solve the problems, such as often what to be eaten and worried, and is recommended according to the vegetable melon and fruit of season offer this season,
Solve the problems, such as user what not to be known what this eats and should not eat, and arranged in pairs or groups the combination recipe of reasonably healthy according to nutritional ingredient,
Solve the demand that user refines diet.Meanwhile the storage condition for taking into account food materials in refrigerator carries out preferential recommendation, so that refrigerator is eaten
Material can be used quickly and efficiently, avoid wasting.Improve the experience sense and practicability that user uses.
Specific embodiment
Technical solution of the present invention is described below in detail.
The system that the present invention uses includes: intelligent refrigerator, cloud service platform, client.Wherein, intelligent refrigerator is used for ice
The purchase, sales and stock management of food materials in case, and management data are transferred for cloud service platform in real time；Cloud service platform is used for vegetable data
Storage is searched, is updated, the storage of vegetable picture and text, recommending recipes cloud computing etc.；Client is used for the data of having dinner for inputting user
Cloud service platform is passed to, the graph text information of recommending recipes list and all recommending recipes that cloud service platform issues, visitor are received
Family end can be the common mobile terminal such as mobile phone, PAD.
The present invention is specifically described by taking 5 people's dinners as an example below, the specific steps are as follows:
The first step, user open intelligent pantry application on smart phone；
Second step, user select time for eating meals at night；
Third step, user select the number of having dinner for 5 people；
After 4th step, confirmation, 5 people's dinner menu demands upload cloud service platform；
5th step carries out first time screening to the vegetable database in server according to time for eating meals, is formed and recommends vegetable
Database A；According to current season to recommending vegetable database A to be screened again, is formed and recommend vegetable database B；To recommendation
Vegetable in vegetable database B carries out meat or fish, element, the classification of soup dish product, retains 2 times of redundancies of classical value respectively, and such as 5 people meal classical value is
4 meat or fish, 2 elements, 1 soup retain 8 meat or fish, 4 elements, 2 soup, then carry out nutritional ingredient combination again, form different recommending recipes.It is excellent
Choosing, can be standby including retaining 2 meat or fish, 1 element, 1 soup to each recommending recipes；
6th step, according to food materials needed for each recommendation menu, the food materials database of intelligent refrigerator is successively inquired, if there is meeting
Whole food materials needed for current recommendation menu then promote current recommendation menu priority, and can satisfy quantity and get over multipriority
It is higher, it is finally completed the sequence of recommending recipes, obtains recommending recipes list；
7th step, cloud service platform issue the picture and text of recommending recipes list and each recommending recipes to intelligent refrigerator terminal into
Row display, user can click single recipe according to recommendation list and be updated, and be adjusted to alternative, if still dissatisfied, click
Single recipe updates, then will reacquire a recipe from cloud service platform and recommend.
In conclusion the present invention is by intelligent refrigerator intelligence food preparation method according to time for eating meals, number, intelligent refrigerator food
Storage food materials, nutritional ingredient and season of management method management etc. carry out recommending recipes after cloud computing, solve user and do not know
What is eaten, how to be eaten, bad problem of eating good things, the experience sense and practicability that user uses are improved.
The foregoing describe basic principle of the invention and main feature, the description of specification only illustrates original of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.
Claims (4)
1. the food preparation method based on cloud service platform and intelligent refrigerator, which comprises the steps of:
A. the client data that will have dinner upload to cloud service platform, and the data of having dinner include the time having dinner, number and season；
B. cloud service platform carries out the cloud computing of recipe recommendation according to the data of having dinner of upload, obtains recommending recipes, recipe recommendation
Cloud computing specific step is as follows:
B1. first time screening is carried out to the vegetable database in server according to time for eating meals, is formed and recommends vegetable database A；
B2. it is formed to recommending vegetable database A to be screened again according to current season and recommends vegetable database B；
B3. it carries out meat or fish, element, soup dish product to the vegetable recommended in vegetable database B to classify, and according to number and nutritional ingredient by dish
Product combine to form different recommending recipes；
C. cloud service platform inquires the food materials database of intelligent refrigerator according to each recommending recipes, and according to the information inquired to institute
Some recommending recipes are ranked up, and obtain recommending recipes list；
D. the graph text information of recommending recipes list and all recommending recipes is handed down to client by cloud service platform.
2. the food preparation method according to claim 1 based on cloud service platform and intelligent refrigerator, which is characterized in that step b3
In carrying out recipe anabolic process, meat or fish, element, soup class vegetable are according to redundancy principle, and 1 to 2 vegetable of every a kind of reservation is as standby
Choosing.
3. the food preparation method according to claim 2 based on cloud service platform and intelligent refrigerator, which is characterized in that step c
Specific steps include: the food materials according to needed for each recommendation menu, successively inquire the food materials database of intelligent refrigerator, if there is meeting
Whole food materials needed for current recommendation menu then promote current recommendation menu priority, and can satisfy quantity and get over multipriority
It is higher, it is finally completed the sequence of recommending recipes, obtains recommending recipes list.
4. the food preparation method based on cloud service platform and intelligent refrigerator according to claim 1 to 3, feature
It is, the client is smart phone or PAD.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510796837.6A CN105426477B (en) | 2015-11-18 | 2015-11-18 | Food preparation method based on cloud service platform and intelligent refrigerator |
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| CN201510796837.6A CN105426477B (en) | 2015-11-18 | 2015-11-18 | Food preparation method based on cloud service platform and intelligent refrigerator |
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| Publication Number | Publication Date |
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| CN105426477A CN105426477A (en) | 2016-03-23 |
| CN105426477B true CN105426477B (en) | 2019-03-05 |
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|---|---|---|---|---|
| CN106096234A (en) * | 2016-05-30 | 2016-11-09 | 美的集团股份有限公司 | Method and apparatus recommended by a kind of menu |
| CN106021564B (en) * | 2016-05-30 | 2019-12-06 | 美的集团股份有限公司 | Menu recommendation method and device |
| WO2018023426A1 (en) * | 2016-08-02 | 2018-02-08 | 步晓芳 | Data collection method for recipe recommendation technique based on refrigerator storage condition, and refrigerator |
| WO2018023427A1 (en) * | 2016-08-02 | 2018-02-08 | 步晓芳 | Ownership presentation method for recipe recommendation technique, and refrigerator |
| CN106213971A (en) * | 2016-08-08 | 2016-12-14 | 宁波卡特马克炊具科技有限公司 | A kind of intelligent cooking system and cooking methods |
| CN106377153A (en) * | 2016-11-11 | 2017-02-08 | 宁波卡特马克智能厨具股份有限公司 | Intelligent cooking system and cooking method |
| CN109426873A (en) * | 2017-08-31 | 2019-03-05 | 深圳春沐源控股有限公司 | Buffet serves the meals method and buffet is served the meals device |
| CN107679181A (en) * | 2017-09-29 | 2018-02-09 | 努比亚技术有限公司 | A kind of recommendation method and terminal |
| CN108766528B (en) * | 2018-05-08 | 2021-07-16 | 天津大学 | Diet management system, construction method thereof and food material management method |
| CN109300524A (en) * | 2018-09-29 | 2019-02-01 | 深圳春沐源控股有限公司 | Information recommendation method and device |
| CN109583795A (en) * | 2019-01-02 | 2019-04-05 | 郑州云海信息技术有限公司 | A kind of wisdom trophic system based on cloud computing |
| CN109960689A (en) * | 2019-03-11 | 2019-07-02 | 上海优悦信息科技有限公司 | A kind of exchange method and refrigerator based on refrigerator food materials inventory's recommending recipes |
| CN113158016A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Recipe recommendation method, refrigerator and computer-readable storage medium |
| CN113536096A (en) * | 2020-04-13 | 2021-10-22 | 青岛海尔电冰箱有限公司 | Intelligent device, server, intelligent dish recommendation system and recommendation method thereof |
| CN113764071B (en) * | 2021-09-16 | 2022-06-10 | 广州达到信息技术有限公司 | Food material recommendation intelligent system and method based on nutrition big data |
| CN115147247B (en) * | 2022-09-06 | 2022-11-18 | 深圳鸿博智成科技有限公司 | Intelligent canteen-based recipe recommendation system and method |
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| US20120233002A1 (en) * | 2011-03-08 | 2012-09-13 | Abujbara Nabil M | Personal Menu Generator |
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