CN110345706B - Big data freezer and operation method - Google Patents
Big data freezer and operation method Download PDFInfo
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- CN110345706B CN110345706B CN201910624970.1A CN201910624970A CN110345706B CN 110345706 B CN110345706 B CN 110345706B CN 201910624970 A CN201910624970 A CN 201910624970A CN 110345706 B CN110345706 B CN 110345706B
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- 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
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- 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
- F25D29/006—Safety devices
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- 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
- F25D2500/00—Problems to be solved
- F25D2500/06—Stock management
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Abstract
The invention discloses a big data freezer and an operation method, wherein the big data freezer comprises: the refrigerator cabinet body, camera, wisdom platform, interpreter, acquiescence label button, 4G module and cloud ware. The camera, the intelligent platform, the reading device and the 4G module are installed in the freezer, the cloud server is communicated with the freezer through the 4G module, the big data freezer stores food materials, when the food materials are taken and placed, the data information of the food materials is collected through the camera and the reading device, and the data information is uploaded to the cloud server through the 4G module. After the data are classified and cleaned, the data are returned to the smart platform and distributed to the mobile phone end by the cloud server; according to the refrigerator and the method, the demand degree of a user on food materials can be analyzed, the food which accords with individual eating habits is customized for the user, the food material data can be accurately fed back to the user in time, food waste is reduced, and the food safety of the user is guaranteed.
Description
Technical Field
The invention relates to the technical field of refrigerating devices, in particular to a large data freezer and an operation method.
Background
RFID, also known as RFID, is a non-contact communication identification technology that can identify a specific target and read and write related data via radio signals. The target object is automatically identified and related data are obtained through the radio frequency signal, manual intervention is not needed in identification work, and the system can work in various severe environments. The RFID technology can identify high-speed moving objects and can identify a plurality of electronic tags at the same time, is fast and convenient to operate and is frequently used in supermarkets. The radio signal is used to transmit data from the tag attached to the article by means of an electromagnetic field modulated at a radio frequency to automatically identify and track the article. Each RFID tag has a unique electronic code and is attached to an object to identify a target object, commonly referred to as an electronic tag or a smart tag. After the tag enters a magnetic field, receiving a radio frequency signal sent by the reader, and sending product information stored in a chip by virtue of energy obtained by the induction current or actively sending a signal with a certain frequency; the information is read and decoded by the interpreter and then sent to the central information system for relevant data processing.
The tag contains electronically stored information that can be identified within a few meters. Unlike bar codes, radio frequency tags need not be in the line of sight of the identifier, but can be embedded within the tracked object. RFID is similar to barcode scanning, and for barcode technology, it attaches an encoded barcode to a target and uses a dedicated scanning reader to transmit information from the barcode to the scanning reader using an optical signal; the RFID uses a dedicated RFID reader and a dedicated RFID tag that can be attached to a target object, and transmits information from the RFID tag to the RFID reader by using a frequency signal.
At present, all food storage of the refrigerator on the market is directly placed in the refrigerator, and a user has no concept on the shelf life of the food, so that the food stored for a long time is still eaten by the user and is not safe to the health of the user.
Disclosure of Invention
The invention aims to provide a big data freezer and an operation method, which can systematically classify and mark food materials put in the freezer, clearly display edible food materials, remind a user of the food materials which are about to expire, facilitate the user to judge the safety of the food in the freezer and be beneficial to body health.
The embodiment of the invention is realized by the following steps:
a big data freezer and method of operation, the big data freezer comprising: refrigerator-freezer, camera, wisdom platform, interpreter, 4G module and cloud ware. The camera, the wisdom platform, interpreter and 4G module are installed at the refrigerator-freezer, communicate through wireless mode between 4G module and the cloud server, the camera carries out image acquisition to the edible material of putting into in the refrigerator-freezer, the interpreter discerns the edible material of putting into in the refrigerator-freezer, the main face of looking of the refrigerator-freezer is arranged in to the interpreter and carries out RFID discernment in order to the edible material of putting into the refrigerator-freezer, the edible material information transfer to the cloud server of 4G module with gathering, the cloud server feeds back to the wisdom platform after will eating material information calculation.
In a preferred embodiment of the invention, the smart platform or the mobile phone end comprises a food material recommending unit, an expiration reminding unit, a health unit and a preference unit, wherein the food material recommending unit classifies and arranges food materials in a guarantee period, the expiration reminding unit classifies and arranges the food materials before the expiration date, the health unit calculates the average consumed heat of the food materials in the previous 1-2 days according to the using frequency and the quantity of the food materials, and prompts the health condition of a user according to the comparison between the total heat and the heat required by normal physiology of a human body, and the preference unit recommends the food materials which the user likes to eat according to the using frequency and the quantity of the food materials.
In a preferred embodiment of the present invention, the operating method includes: s1, when the food materials are placed in the refrigerator, the camera captures the food material images, and the interpreter identifies the food materials and records the warehousing time; s2, the camera and the interpreter transmit the collected information to the intelligent platform, and the intelligent platform transmits the collected information to the cloud server through the 4G module; s3, recording warehousing time of food materials by a cloud server, adding according to a preset quality guarantee period to obtain an expiration date, when the food materials are packaged food, directly setting the expiration date displayed by a packaging bag by a user through an intelligent platform, classifying the food materials between the warehousing time and 2 days before the expiration date into A types, classifying the food materials frequently warehoused and used by the user into B types, and classifying the food materials 2 days before the expiration date or the expired food materials into C types; and S4, the cloud server transmits the classification information in the S3 to the intelligent platform or the mobile phone end through the 4G module.
In a preferred embodiment of the present invention, the data of the recommended food material unit is a class a food material, the data of the preference unit is a class B food material, and the data of the upcoming expiration reminding unit is a class C food material.
In a preferred embodiment of the invention, when the food material is taken out from the refrigerator, the camera and the interpreter respectively collect data information of the image, the food material type and the taking-out time, the data information is transmitted to the intelligent platform and transmitted to the cloud server through the 4G module, and the mobile phone terminal updates data from the cloud server.
In a preferred embodiment of the present invention, the reader identifies the food material entering the freezer and simultaneously marks the food material with the electronic tags, the food materials entering the freezer are sequentially arranged with the sequential electronic tags, and all the food materials entering the freezer are monitored.
In a preferred embodiment of the present invention, the big data freezer further includes a default tag button, when a user presses the default tag button before placing an unused food material into the freezer, the camera collects an image and transmits the image to the cloud server, and the interpreter recognizes the food material and defaults to an electronic tag of the previous food material of the same type, and does not re-mark the food material.
In a preferred embodiment of the present invention, the health unit has a heat meter for recording categories and names of a plurality of food materials, the health unit calculates an average consumed heat according to the heat meter, and the health unit sets an initial range of the heat required by normal physiology of the human body to 1200 kcal to 2000 kcal.
In a preferred embodiment of the present invention, the cloud server determines the shelf life of each food material in advance according to the variety of the food materials.
In a preferred embodiment of the present invention, the smart platform or the mobile phone has a module for reminding an expired food material, when the food material is expired, the module has a reminding icon or a color mark on a page of the smart platform or the mobile phone, and before the food material is expired, the module reminds a user to perform an inspection process on the page of the smart platform or the mobile phone.
The invention has the beneficial effects that:
the information of food materials is collected through a camera, tags of the warehoused food materials are read through an interpreter, data are transmitted to a cloud server through a 4G module, the cloud server classifies the food materials through calculation, the classification result is fed back to a smart platform or a mobile phone end through the 4G module, and the food materials eaten by a user, the food materials loved by the user, the food materials about to expire and the health condition of the user are recommended to the user through the smart platform or the mobile phone end; this refrigerator-freezer can analyze out the consumer to the demand degree of product, for the food that the user customization accords with individual dietary habit, can accurately and in time feed back the data of eating the material to the user, reduces food waste, guarantees the edible safety of user.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope.
FIG. 1 is a schematic view of a large data ice bin of the present invention;
FIG. 2 is a schematic view of the method of operation of a large data ice chest of the present invention;
icon: 1-refrigerator cabinet; 2-a camera; 3-an intelligent platform; 4-an interpreter; 5-default tag button.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
First embodiment
Referring to fig. 1, the present embodiment provides a large data ice chest 1 and an operation method thereof, including the large data ice chest 1 and the operation method, the large data ice chest 1 includes: the refrigerator 1, the camera 2, the intelligent platform 3, the reader 4, the default tag button 5, the 4G module and the cloud server are installed on the refrigerator 1, the cloud server communicates with the refrigerator 1 through the 4G module, the big data refrigerator 1 stores food materials, when the food materials are taken and placed, data information of the food materials is collected through the camera 2 and the reader 4 and is transmitted to the intelligent platform 3 after the data is collected, for the newly placed food materials, the cloud server uploads the data through the 4G module, the cloud server classifies the data and transmits the data to the intelligent platform 3 or a mobile phone end through the 4G module, a user can clearly know which edible food materials are in the refrigerator 1 at the intelligent platform 3 or the mobile phone end and which food materials are about to expire soon, and the freshness of the food materials stored in the refrigerator 1 is guaranteed, timely updating ensures that the food materials are in the shelf life, improves the safety of the food materials placed in the freezer 1 and ensures the health.
The refrigerator 1 is a box body which stores food and has a freezing function, the front view surface of the refrigerator 1 is a door opening and closing surface, the camera 2 is a convex hemisphere, the camera 2 is the prior art and has a built-in rotary lens, the camera 2 can shoot a plurality of angles in front of the refrigerator, a circular groove for mounting the camera 2 is arranged on the front view surface of the refrigerator 1, the camera 2 is embedded into the circular groove of the refrigerator 1 and is fixed by using a screw, the intelligent platform 3 is provided with a built-in working plate and a screen for displaying data, the working plate is provided with a time module and is displayed by the screen, the time module is provided with a setting key for setting an expiration date, the time module is used for setting the expiration date of the packaged food, the time module records warehousing time and the expiration date and displays the expiration date on the screen of the intelligent platform 3, and the screen is used for displaying a recommending unit, an expiration reminding unit, a food material reminding unit and a computer, A preference unit and a health unit; the top of the face is provided with the recess of rectangle just looking of refrigerator-freezer 1, the screen card of wisdom platform 3 is chucking and bonding fixed in the recess, long banding recess has between wisdom platform 3 and the door of refrigerator-freezer 1, this recess is used for the card to go into interpreter 4, interpreter 4 is the device that has radio frequency identification, RFID discernment and interpreter 4 are prior art respectively, the radio frequency identification technique promptly, the RFID technique, also known as radio frequency identification is a communication technology, according to radio frequency identification's principle: after the electronic tag enters a magnetic field, receiving a radio frequency signal sent by the reader 4, sending product information by virtue of energy obtained by induced current, or actively sending a signal with a certain frequency by the electronic tag, reading and decoding the information by the reader 4, and sending the information to a cloud server for data processing through a 4G module; the front view of the refrigerator 1 is internally provided with a circular groove provided with a default label button 5, the default label button 5 is clamped in the circular groove and electrically connected to the interpreter 4, and the default label button 5 is used for defaulting an electronic label of the food to be a previous label when the food which is not used up is put in, so that the guarantee period of each food is accurate. The 4G module is a built-in part of the refrigerator 1, the 4G module is a prior art and refers to a product with hardware loaded to a specified frequency band, software supports a standard LTE protocol and software and hardware are highly integrated and modularized, the 4G module and a cloud server are communicated in a wireless mode, the intelligent platform 3 or a mobile phone end displays the current situation of food materials in the refrigerator 1 and comprises edible food material recommendation, namely food materials which are to be overdue and food materials which are loved by users, specifically, the intelligent platform 3 or the mobile phone end comprises a food material recommending unit, an overdue reminding unit, a health unit and a preference unit, the food material recommending unit classifies and arranges the food materials in a quality guarantee period, the overdue reminding unit classifies and arranges the food materials before the overdue date, the health unit displays the health condition of the users according to the use frequency and the number of the food materials, calculating the average consumed heat of the food materials in the previous 1-2 days, comparing the total heat with the heat required by normal physiology of a human body, prompting the health condition of the user, and recommending the food materials which the user likes to eat according to the use frequency and the quantity of the food materials by a preference unit.
Referring to fig. 2, the big data ice chest 1 is used according to the following principle: when food materials are put into a big data refrigerator 1, a camera 2 collects images of the food materials put into the refrigerator 1, a reader 4 identifies the food materials entering the refrigerator 1 and marks electronic tags on the food materials, the food materials entering the refrigerator 1 are sequentially arranged into the electronic tags, the electronic tags are matched with the food materials, so that all the food materials entering the refrigerator 1 are monitored, the reader 4 is arranged on the main view surface of the refrigerator 1 to carry out RFID identification on the food materials entering the refrigerator 1, a specific target is identified through radio signals and relevant data is read and written, mechanical or optical contact is not needed to be established between an identification system and the specific target, when a user puts unused food materials into the refrigerator 1, a default tag button 5 is pressed, the images collected by the camera 2 are transmitted to a cloud server, the reader 4 identifies the food materials and defaults to be the electronic tags of the same food materials before the food materials are placed, the food material information collected by the 4G module and the data recorded by the reader are transmitted to the cloud server, and the cloud server calculates the food material information and feeds the calculated food material information back to the intelligent platform 3.
The operation method comprises the following steps:
s1, when food materials are put in the refrigerator 1, the camera 2 captures an image of the food materials, and the interpreter 4 identifies the food materials and displays the warehousing time; when the food is taken out from the refrigerator 1, the camera 2 and the interpreter 4 respectively collect data information of images, food types and taking-out time, and meanwhile, data are updated to the intelligent platform 3;
s2, the camera 2 and the interpreter 4 transmit the acquired information to the intelligent platform, and then the acquired information is transmitted to the cloud server through the 4G module, and when food materials are stored in a warehouse, the data are transmitted to the cloud server through the 4G module to store food material images and record the warehouse-in time; when the food materials are delivered out of the warehouse, the data are transmitted to the cloud server through the 4G module;
s3, the cloud server determines the quality guarantee periods of various food materials in advance according to the types of the food materials, records the warehousing time of the food materials, adds the shelf-life periods according to the preset quality guarantee periods to obtain an expiration date, when the food materials are packaged food, a user directly sets the expiration date displayed by a packaging bag through an intelligent platform, classifies the food materials between the warehousing time and 2 days before the expiration date into A types, classifies the food materials frequently warehoused and used by the user into B types, and classifies the food materials 2 days before the expiration date or the food materials which are expired into C types;
s4, the cloud server transmits the classification information in the S3 to the intelligent platform 3 or the mobile phone end through the 4G module, the intelligent platform 3 or the mobile phone end is provided with a module for reminding the overdue food materials, when the food materials are overdue, the module is provided with a reminding icon or a color mark on the page of the intelligent platform 3 or the mobile phone end, and before the food materials are overdue, the module reminds the user to perform checking processing on the page of the intelligent platform 3 or the mobile phone end; after the user takes out the overdue food, the camera 2 and the interpreter 4 feed back the collected information to the intelligent platform, and the intelligent platform deletes the information of the overdue food. The intelligent platform 3 or the mobile phone end comprises a recommended food material unit, a preference unit and an upcoming expiration unit, the data of the recommended food material unit is a class A food material in S3, the data of the preference unit is a class B food material in S3, the data of the upcoming expiration reminding unit is a class C food material in S3, and the expiration date is marked for the food materials 2 days before the expiration date in the upcoming expiration reminding unit; the health unit is provided with a calorimeter for recording categories and names of various food materials, the calorimeter is derived from a universal meter for evaluating the heat of various food materials by people on a network, the health unit calculates the consumed heat of the food materials eaten by a user in the previous 1 day according to the calorimeter, the health unit is provided with a range value for setting the heat required by normal physiology of a human body, the big data freezer sets the initial range of the heat required by the normal physiology of the human body to be 1200-2000 kilocalories, the value is derived from the long-term statistical result of adults, the value can be reset through the health unit, the health state of the user is fed back by the health unit according to the food classification of the user, when the consumed heat is in the range of the heat required by the physiology, the user is prompted to be in the health state, and when the consumed heat is larger than or smaller than the range of the heat required by the physiology, the user is prompted that the health state is poor.
To sum up, in the embodiment of the invention, the information of the food materials is collected through the camera, the tags of the warehoused food materials are read through the interpreter, the data are transmitted to the intelligent platform and are transmitted to the cloud server through the 4G module, the cloud server classifies the food materials through calculation, the classification results are fed back to the intelligent platform or the mobile phone end through the 4G module, and the edible food materials are recommended to the user through the intelligent platform or the mobile phone end, the food materials loved by the user are recommended, the food materials about to expire are reminded to the user, and the health condition of the user is fed back; this refrigerator-freezer can analyze out the consumer to the demand degree of product, for the food that the user customization accords with individual dietary habit, can accurately and in time feed back the data of eating the material to the user, reduces food waste, guarantees the edible safety of user.
This description describes examples of embodiments of the invention, and is not intended to illustrate and describe all possible forms of the invention. It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (4)
1. A big data ice chest, its characterized in that, big data ice chest includes: the refrigerator comprises a refrigerator, a camera, a smart platform, an interpreter, a 4G module and a cloud server, wherein the camera, the smart platform, the interpreter and the 4G module are installed in the refrigerator, the 4G module and the cloud server are communicated in a wireless mode, the camera acquires images of food materials placed in the refrigerator, the interpreter identifies the food materials placed in the refrigerator, the interpreter is arranged on a main view surface of the refrigerator to identify the food materials placed in the refrigerator in an RFID mode, the 4G module transmits the acquired food material information to the cloud server, and the cloud server calculates the food material information and feeds the food material information back to the smart platform; the intelligent platform comprises a health unit, the health unit displays the health condition of a user according to the use of food materials, the health unit calculates the average consumed heat of the food materials in the previous 1-2 days according to the use frequency and the number of the food materials, the health condition of the user is prompted according to the comparison between the total heat and the heat required by normal physiology of a human body, when the consumed heat is in the range of the heat required by the physiology, the user is prompted to be in a health state, and when the consumed heat is larger than or smaller than the range of the heat required by the physiology, the health condition of the user is prompted to be poor; when a user puts the food materials which are not used up into the refrigerator, the default label button is pressed, the camera collects images and transmits the images to the cloud server, the interpreter identifies the food materials and defaults the food materials to be the electronic labels of the previous similar food materials, and the food materials are not marked again;
the operation method of the big data ice cabinet comprises the following steps: s1, when the food materials are placed in the refrigerator, the camera captures the food material images, and the interpreter identifies the food materials and records the warehousing time; s2, the camera and the interpreter transmit the collected information to the intelligent platform, and the intelligent platform transmits the collected information to the cloud server through the 4G module; s3, recording warehousing time of food materials by a cloud server, adding according to a preset quality guarantee period to obtain an expiration date, when the food materials are packaged food, directly setting the expiration date displayed by a packaging bag by a user through an intelligent platform, classifying the food materials between the warehousing time and 2 days before the expiration date into A types, classifying the food materials frequently warehoused and used by the user into B types, and classifying the food materials 2 days before the expiration date or the expired food materials into C types; s4, the cloud server transmits the classification information in the S3 to an intelligent platform or a mobile phone end through a 4G module; the intelligent platform or the mobile phone end is provided with a module for reminding overdue food materials, when the food materials are overdue, the module is provided with a reminding icon or a color mark on a page of the intelligent platform or the mobile phone end, and before the food materials are overdue, the module reminds a user to perform checking processing on the page of the intelligent platform or the mobile phone end; after the user takes out the overdue food, the camera and the interpreter feed back the acquired information to the intelligent platform, and the intelligent platform deletes the information of the overdue food; the intelligent platform or the mobile phone end comprises a recommended food material unit, a preference unit and an upcoming expiration unit, the data of the recommended food material unit is a class A food material in S3, the data of the preference unit is a class B food material in S3, the data of the upcoming expiration reminding unit is a class C food material in S3, and the expiration date is marked for the food materials 2 days before the expiration date in the upcoming expiration reminding unit; the health unit is provided with a calorimeter for recording categories and names of various food materials, the calorimeter is derived from a universal meter for evaluating the heat of various food materials by people on a network, the health unit calculates the consumed heat of the food materials eaten by a user in the previous 1 day according to the calorimeter, the health unit is provided with a range value for setting the heat required by normal physiology of a human body, the big data freezer sets the initial range of the heat required by the normal physiology of the human body to be 1200-2000 kilocalories, the value is derived from the long-term statistical result of adults, the value can be reset through the health unit, the health state of the user is fed back by the health unit according to the food classification of the user, when the consumed heat is in the range of the heat required by the physiology, the user is prompted to be in the health state, and when the consumed heat is larger than or smaller than the range of the heat required by the physiology, the user is prompted that the health state is poor.
2. The big data refrigerator as claimed in claim 1, wherein when material is taken out of the refrigerator, the camera and the interpreter respectively collect images and data information of material type and taking time, the data information is transmitted to the intelligent platform and the cloud server through the 4G module, and the mobile phone updates data from the cloud server.
3. The big data refrigerator of claim 1, wherein said reader identifies the food material entering the refrigerator while marking the food material with an electronic tag, wherein the food material entering the refrigerator is sequentially sequenced to monitor all food material entering the refrigerator.
4. The big data freezer of claim 1, wherein the cloud server determines the shelf life of each food material in advance according to the variety of the food materials.
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| CN113676557B (en) * | 2021-10-21 | 2022-02-11 | 广州微林软件有限公司 | Server scheduling system, method and application thereof |
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| EP1813898A1 (en) * | 2006-01-30 | 2007-08-01 | L'AIR LIQUIDE, Société Anonyme pour l'Etude et l'Exploitation des Procédés Georges Claude | System for the operation and the management of a group of autonomous refrigerated containers |
| CN102679515B (en) * | 2012-03-21 | 2014-04-16 | 美的集团股份有限公司 | Air adjusting system based on things network technology and control method thereof |
| DE102014213912A1 (en) * | 2014-07-17 | 2016-01-21 | BSH Hausgeräte GmbH | Household appliance, in particular household refrigeration appliance |
| CN104197633B (en) * | 2014-09-22 | 2016-10-05 | 合肥华凌股份有限公司 | Food fresh keeping management refrigerator and the fresh-keeping management method of refrigerator food |
| CN105202860B (en) * | 2015-10-28 | 2018-01-16 | 合肥美菱股份有限公司 | A kind of intelligent refrigerator system |
| CN108469148A (en) * | 2018-05-31 | 2018-08-31 | 上海理工大学 | The refrigerator of intelligent inventory management |
| CN108870828A (en) * | 2018-08-14 | 2018-11-23 | 震惶科技（成都）有限公司 | A kind of refrigerator-freezer device for preservation fresh food |
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