CN106440610A - Cloud-based intelligent refrigerator monitoring system - Google Patents
Cloud-based intelligent refrigerator monitoring system Download PDFInfo
- Publication number
- CN106440610A CN106440610A CN201610956337.9A CN201610956337A CN106440610A CN 106440610 A CN106440610 A CN 106440610A CN 201610956337 A CN201610956337 A CN 201610956337A CN 106440610 A CN106440610 A CN 106440610A
- Authority
- CN
- China
- Prior art keywords
- module
- information
- body fat
- user
- central processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D11/00—Self-contained movable devices, e.g. domestic refrigerators
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/008—Alarm devices
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The invention discloses a cloud-based intelligent refrigerator monitoring system which comprises a human fat detection module, a central processing module, a fingerprint entering module, an identity inputting module, a voice output module, a cloud processor, a cloud database and a display module. According to the invention, through the system structure design of the human fat detection module, the fingerprint entering module, the identity inputting module, the cloud processor and the cloud database, the physical condition of a user can be detected in real time, and a recipe can be scientifically recommended according to the detection condition, so that the degree of intelligence is higher and the practicability is higher.
Description
Technical field
The invention belongs to intelligent refrigerator field, more particularly to a kind of intelligent refrigerator monitoring system based on high in the clouds.
Background technology
Bread is the staff of life, diet be the mankind obtain nutrition, the material base that depends on for existence, diet include corn, fruit,
Meat and vegetable etc., nutrition intake is valued for balance.The unbalanced of nutrition intake is easily caused various diseases, and unbalanced diet is very
The disappearance of trace element is may result in, so as to malnutrition, generates various diseases；Overnutrition can cause the product of obesity again
Raw, so as to various complication, the nutrition intake of balance is only most healthy diet.And current intelligent refrigerator, only can
Select to provide the user corresponding recipe list according to user, classification is targeted, and can not recommending recipes automatically, use
Family experience is poor.
Content of the invention
It is an object of the invention to the problem above for overcoming prior art to exist, provides a kind of intelligent refrigerator based on high in the clouds
Monitoring system, can be according to the automatic science recommending recipes of the actual body situation of user.
For above-mentioned technical purpose is realized, above-mentioned technique effect is reached, the present invention is achieved through the following technical solutions：
A kind of intelligent refrigerator monitoring system based on high in the clouds, including body fat detection module, central processing module, fingerprint
Typing module, identity input module, voice output module, high in the clouds processor, cloud database, display module；
The body fat detection module is located at refrigerator doorway, for being detected to the body fat of user and by body fat information
Send to central processing module；
The fingerprint typing module is located on refrigerator handle, for being acquired simultaneously typing to the fingerprint of user；
The identity input module is used for being input into the subscriber identity information of fingerprint matching；
The high in the clouds processor carries out both-way communication with central processing module and is connected；
The cloud database is used for storing the menu that various Anthropometric parameters correspond to recommendation；
The display module is used for for menu information, subscriber identity information carrying out text importing；
The voice output module is used for for menu information, subscriber identity information carrying out voice broadcast；
When the user opens the refrigerator door, by body fat detection module, the body fat information of user is sent to central authorities and processes
Module, the body fat information of user is sent to high in the clouds processor, the high in the clouds processor by the central processing module by WIFI
Scheduling signals are sent to cloud database, transfer the body fat information and correspond to the menu that recommends, and by menu feedback of the information in
Processing module is entreated, then menu information, subscriber identity information are respectively sent to display module and language by the central processing module
Sound output module, carries out text importing and voice broadcast to menu information, subscriber identity information.
Further, the subscriber identity information includes the name of user, sex, date of birth.
Further, the central processing module is also associated with caution system, sets body fat threshold values by central processing module,
When the body fat information of the user exceedes threshold values, the central processing module sends alarm signal and carries out externally to caution system
Warning is reminded.
The invention has the beneficial effects as follows：
The present invention passes through body fat detection module, fingerprint typing module, identity input module, high in the clouds processor, high in the clouds
The system structure design of data base, can carry out real-time detection, and be recommended according to detection case science to the health of user
Recipe, intelligence degree is higher, and practicality is higher.
Description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description is used for explaining the present invention, does not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the system architecture diagram of the present invention.
Specific embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments, the present invention is described in detail.
A kind of intelligent refrigerator monitoring system based on high in the clouds as shown in Figure 1, including body fat detection module, centre
Reason module, fingerprint typing module, identity input module, voice output module, high in the clouds processor, cloud database, display module；
The body fat detection module is located at refrigerator doorway, for being detected to the body fat of user and by body fat information
Send to central processing module；
The fingerprint typing module is located on refrigerator handle, for being acquired simultaneously typing to the fingerprint of user；
The identity input module is used for being input into the subscriber identity information of fingerprint matching, and subscriber identity information includes user's
Name, sex, date of birth；
The high in the clouds processor carries out both-way communication with central processing module and is connected；
The cloud database is used for storing the menu that various Anthropometric parameters correspond to recommendation；
The display module is used for for menu information, subscriber identity information carrying out text importing；
The voice output module is used for for menu information, subscriber identity information carrying out voice broadcast；
When the user opens the refrigerator door, by body fat detection module, the body fat information of user is sent to central authorities and processes
Module, the body fat information of user is sent to high in the clouds processor, the high in the clouds processor by the central processing module by WIFI
Scheduling signals are sent to cloud database, transfer the body fat information and correspond to the menu that recommends, and by menu feedback of the information in
Processing module is entreated, then menu information, subscriber identity information are respectively sent to display module and language by the central processing module
Sound output module, carries out text importing and voice broadcast to menu information, subscriber identity information；
Central processing module is also associated with caution system, sets body fat threshold values by central processing module, when the user's
When body fat information exceedes threshold values, the central processing module sends alarm signal to caution system and carries out externally warning prompting.
The present invention passes through body fat detection module, fingerprint typing module, identity input module, high in the clouds processor, high in the clouds
The system structure design of data base, can carry out real-time detection, and be recommended according to detection case science to the health of user
Recipe, intelligence degree is higher, and practicality is higher.
Ultimate principle, principal character and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not restricted to the described embodiments, simply explanation described in above-described embodiment and description this
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes
Change and improvement is both fallen within scope of the claimed invention.
Claims (3)
1. a kind of intelligent refrigerator monitoring system based on high in the clouds, it is characterised in that：Process including body fat detection module, central authorities
Module, fingerprint typing module, identity input module, voice output module, high in the clouds processor, cloud database, display module；
The body fat detection module is located at refrigerator doorway, is sent for detecting to the body fat of user and by body fat information
To central processing module；
The fingerprint typing module is located on refrigerator handle, for being acquired simultaneously typing to the fingerprint of user；
The identity input module is used for being input into the subscriber identity information of fingerprint matching；
The high in the clouds processor carries out both-way communication with central processing module and is connected；
The cloud database is used for storing the menu that various Anthropometric parameters correspond to recommendation；
The display module is used for for menu information, subscriber identity information carrying out text importing；
The voice output module is used for for menu information, subscriber identity information carrying out voice broadcast；
When the user opens the refrigerator door, by body fat detection module, the body fat information of user is sent to central authorities and processes mould
Block, the body fat information of user is sent to high in the clouds processor by the central processing module by WIFI, and the high in the clouds processor is sent out
Send scheduling signals to cloud database, transfer the body fat information and the menu that recommends is corresponded to, and by menu feedback of the information to central authorities
Processing module, then the central processing module menu information, subscriber identity information are respectively sent to display module and voice
Output module, carries out text importing and voice broadcast to menu information, subscriber identity information.
2. a kind of intelligent refrigerator monitoring system based on high in the clouds according to claim 1, it is characterised in that：User's body
Part information includes the name of user, sex, date of birth.
3. a kind of intelligent refrigerator monitoring system based on high in the clouds according to claim 1, it is characterised in that：The centre
Reason module is also associated with caution system, sets body fat threshold values by central processing module, when the body fat information of the user exceedes valve
During value, the central processing module sends alarm signal to caution system and carries out externally warning prompting.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610956337.9A CN106440610A (en) | 2016-10-27 | 2016-10-27 | Cloud-based intelligent refrigerator monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610956337.9A CN106440610A (en) | 2016-10-27 | 2016-10-27 | Cloud-based intelligent refrigerator monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106440610A true CN106440610A (en) | 2017-02-22 |
Family
ID=58179453
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610956337.9A Pending CN106440610A (en) | 2016-10-27 | 2016-10-27 | Cloud-based intelligent refrigerator monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106440610A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107133471A (en) * | 2017-05-08 | 2017-09-05 | 合肥美的智能科技有限公司 | The processing method of refrigerator and user data |
| WO2019095518A1 (en) * | 2017-11-20 | 2019-05-23 | 上海绿联软件股份有限公司 | Intelligent refrigerator based on big data analysis by server, health management method and system |
| CN110345534A (en) * | 2019-07-04 | 2019-10-18 | 广东万家乐厨房科技有限公司 | A kind of range hood that can detect user's constitution automatically |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904523A (en) * | 2005-07-25 | 2007-01-31 | 乐金电子(天津)电器有限公司 | Body fat measuring type refrigerator |
| CN101231068A (en) * | 2007-01-25 | 2008-07-30 | 泰州乐金电子冷机有限公司 | Fat management type refrigerator |
| CN103206834A (en) * | 2012-01-17 | 2013-07-17 | 海尔集团公司 | Refrigerator health management system and method |
| CN103884152A (en) * | 2014-02-28 | 2014-06-25 | 四川长虹电器股份有限公司 | Refrigerator capable of providing health indexes and system |
| CN104662382A (en) * | 2012-09-25 | 2015-05-27 | 株式会社东芝 | Refrigerator |
| CN204963415U (en) * | 2015-09-19 | 2016-01-13 | 深圳市前海安测信息技术有限公司 | A intelligent refrigerator for instructing healthy diet |
| CN105509394A (en) * | 2015-05-05 | 2016-04-20 | 万军 | Refrigerator |
-
2016
- 2016-10-27 CN CN201610956337.9A patent/CN106440610A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1904523A (en) * | 2005-07-25 | 2007-01-31 | 乐金电子(天津)电器有限公司 | Body fat measuring type refrigerator |
| CN101231068A (en) * | 2007-01-25 | 2008-07-30 | 泰州乐金电子冷机有限公司 | Fat management type refrigerator |
| CN103206834A (en) * | 2012-01-17 | 2013-07-17 | 海尔集团公司 | Refrigerator health management system and method |
| CN104662382A (en) * | 2012-09-25 | 2015-05-27 | 株式会社东芝 | Refrigerator |
| CN103884152A (en) * | 2014-02-28 | 2014-06-25 | 四川长虹电器股份有限公司 | Refrigerator capable of providing health indexes and system |
| CN105509394A (en) * | 2015-05-05 | 2016-04-20 | 万军 | Refrigerator |
| CN204963415U (en) * | 2015-09-19 | 2016-01-13 | 深圳市前海安测信息技术有限公司 | A intelligent refrigerator for instructing healthy diet |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107133471A (en) * | 2017-05-08 | 2017-09-05 | 合肥美的智能科技有限公司 | The processing method of refrigerator and user data |
| WO2019095518A1 (en) * | 2017-11-20 | 2019-05-23 | 上海绿联软件股份有限公司 | Intelligent refrigerator based on big data analysis by server, health management method and system |
| US11486633B2 (en) | 2017-11-20 | 2022-11-01 | Shanghai Green Motive Technology Limited | Smart refrigerator based on big data analysis of server, health management method, and system |
| CN110345534A (en) * | 2019-07-04 | 2019-10-18 | 广东万家乐厨房科技有限公司 | A kind of range hood that can detect user's constitution automatically |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107633875B (en) | Intelligent diet recommendation system and method | |
| CN106440610A (en) | Cloud-based intelligent refrigerator monitoring system | |
| CN106403488B (en) | Intelligent refrigerator and its management method | |
| CN105187743A (en) | Health surveillance television | |
| KR20180018854A (en) | Smart wearable devices and methods for customized haptic feedback | |
| CN106726605A (en) | Medication alert method and terminal | |
| CN107248067A (en) | A kind of intelligent laboratory management system system | |
| CN105046065B (en) | A kind of analysis system and analysis method of food materials nutritional ingredient | |
| CN107062794A (en) | Intelligent refrigerator, its control method and control system | |
| CN108937554B (en) | Steaming and baking equipment and method for reminding diet by using terminal | |
| Ding et al. | Energy efficient human activity recognition using wearable sensors | |
| CN111028917A (en) | Intelligent service plate nutrition management system | |
| CN114053112A (en) | Massage method, device, terminal equipment and medium | |
| CN206910257U (en) | A kind of intelligent seasonings box based on Internet of Things | |
| KR20170083763A (en) | Pets status notification necklace | |
| CN109567742A (en) | A kind of paediatrics state of an illness early warning method | |
| CN109508651A (en) | Brain electricity sensibility classification method based on convolutional neural networks | |
| Soltani et al. | Weight, lifestyle, and health during pregnancy and beyond | |
| CN105241501B (en) | Resident's food consumption data acquisition device | |
| US20180236149A1 (en) | Breast pump device | |
| CN114496162A (en) | Diet behavior information acquisition system and method | |
| Seint et al. | Medication and meal intake monitoring using human-object interaction | |
| CN205903197U (en) | Intelligence kitchen utensil | |
| Lee et al. | Prediction of carcass composition using carcass grading traits in Hanwoo steers | |
| KR20170050516A (en) | Five colors food classifying system for diet |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170222 |
|
| RJ01 | Rejection of invention patent application after publication |