CN110674739B - Low-temperature storage reminding method and system based on Internet of things operating system - Google Patents
Low-temperature storage reminding method and system based on Internet of things operating system Download PDFInfo
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- CN110674739B CN110674739B CN201910901629.6A CN201910901629A CN110674739B CN 110674739 B CN110674739 B CN 110674739B CN 201910901629 A CN201910901629 A CN 201910901629A CN 110674739 B CN110674739 B CN 110674739B
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- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/51—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/532—Query formulation, e.g. graphical querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
Abstract
The invention provides a low-temperature storage reminding method and system based on an Internet of things operating system, wherein the method comprises the following steps: the intelligent refrigerator receives a commodity list needing low-temperature storage from a terminal; the intelligent refrigerator compares the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screens out target commodities which are not stored in the intelligent refrigerator in the commodity list; the intelligent refrigerator generates reminding information for storing the target commodity at low temperature. In the invention, the commodity needing low-temperature storage can be compared with the commodity which is put into the refrigerator by the user and identified, so that the commodity which is forgotten to be put into the refrigerator by the user can be found in time, and the user can be reminded.
Description
Technical Field
The invention relates to the field of intelligent household appliances, in particular to a low-temperature storage reminding method and system based on an internet of things operating system.
Background
When a user purchases a large number of commodities, some commodities needing low-temperature storage may be placed at the bottom of the shopping bag and shielded by other commodities. At this time, when a user searches for goods needing low-temperature storage from purchased goods, the goods needing low-temperature storage placed at the bottom of the shopping bag are easy to miss, so that the goods needing low-temperature storage are not placed in the refrigerator in time, and the goods are damaged.
Disclosure of Invention
The embodiment of the invention provides a low-temperature storage reminding method and system based on an Internet of things operating system, and aims to at least solve the problem that commodities needing low-temperature storage are not placed in a refrigerator in time due to omission in the related art.
According to one embodiment of the invention, a low-temperature storage reminding method based on an operating system of the Internet of things is provided, and the method comprises the following steps: the intelligent refrigerator receives a commodity list needing low-temperature storage from a terminal; the intelligent refrigerator compares the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screens out target commodities which are not stored in the intelligent refrigerator in the commodity list; the intelligent refrigerator generates reminding information for storing the target commodity at low temperature.
Optionally, the comparing, by the intelligent refrigerator, the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screening out the target commodities, which are not stored in the intelligent refrigerator, in the commodity list includes: and the intelligent refrigerator matches the appearance images of the commodities in the commodity list with the scanning images of the commodities stored in the intelligent refrigerator, and screens out the target commodities which are not stored in the intelligent refrigerator in the commodity list.
Optionally, before the intelligent refrigerator matches the appearance image of the commodity in the commodity list with the scanned image of the commodity stored in the intelligent refrigerator, the method further includes: and when the stored commodities are stored in the intelligent refrigerator, scanning the stored commodities to generate the scanned images and storing the scanned images.
Optionally, the reminding information generated by the intelligent refrigerator for storing the target commodity at low temperature comprises at least one of the following: the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and displays the reminding information on a display screen of the intelligent refrigerator; the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and sends the reminding information to a designated terminal.
According to an embodiment of the present invention, there is also provided a low temperature storage reminding method based on an internet of things operating system, including: the terminal determines commodities needing low-temperature storage from commodities purchased by a user and generates a commodity list; the terminal sends the commodity list to an intelligent refrigerator, so that the intelligent refrigerator compares commodities in the commodity list with commodities stored in the intelligent refrigerator to screen out target commodities which are not stored in the intelligent refrigerator in the commodity list, and generates reminding information for low-temperature storage of the target commodities.
Optionally, the determining, by the terminal, goods that need to be stored at low temperature from goods purchased by the user and generating the goods list includes: the terminal acquires commodity information purchased by the user from the installed transaction application program; the terminal acquires storage condition parameters and appearance images of each commodity purchased by the user; and the terminal determines the commodities needing low-temperature storage according to the storage condition parameters and generates the commodity list comprising the commodity names and the appearance images needing low-temperature storage.
According to an embodiment of the present invention, there is also provided an intelligent refrigerator including: the receiving module is used for receiving a commodity list needing low-temperature storage from the terminal; the screening module is used for comparing the commodities in the commodity list with the commodities stored in the intelligent refrigerator and screening out target commodities which are not stored in the intelligent refrigerator in the commodity list; and the generation module is used for generating reminding information for storing the target commodity at low temperature.
Optionally, the screening module comprises: and the matching unit is used for matching the appearance images of the commodities in the commodity list with the scanning images of the commodities stored in the intelligent refrigerator, so as to screen out the target commodities which are not stored in the intelligent refrigerator in the commodity list.
Optionally, the intelligent refrigerator further comprises: and the camera module is used for scanning the stored commodities to generate and store the scanned images when the stored commodities are stored in the intelligent refrigerator.
Optionally, the intelligent refrigerator further comprises at least one of: the display module is used for displaying reminding information for low-temperature storage of the target commodity on a display screen of the intelligent refrigerator; and the sending module is used for sending the reminding information of the low-temperature storage of the target commodity to a specified terminal.
According to an embodiment of the present invention, there is also provided a terminal including: the determining module is used for determining commodities needing low-temperature storage from commodities purchased by a user and generating the commodity list; the sending module is used for sending the commodity list to the intelligent refrigerator so that the intelligent refrigerator can compare commodities in the commodity list with commodities stored in the intelligent refrigerator to screen out target commodities which are not stored in the intelligent refrigerator in the commodity list, and reminding information for storing the target commodities at low temperature is generated.
Optionally, the determining module includes: a first acquisition unit configured to acquire commodity information purchased by the user from the installed transaction application; a second acquisition unit configured to acquire a storage condition parameter and an appearance image of each commodity purchased by the user; and the determining unit is used for determining the commodities needing low-temperature storage according to the storage condition parameters and generating the commodity list comprising the commodity names needing low-temperature storage and the appearance images.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
In the embodiment of the invention, the commodity which is forgotten to be put into the refrigerator by the user can be determined according to the commodity which is put into the refrigerator by the user and the commodity which needs to be stored at low temperature, and the user is reminded. Since the user can be reminded to put the goods which need to be stored at low temperature into the refrigerator, the problem of the prior art can be effectively solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of an application scenario according to an embodiment of the present invention;
FIG. 2 is a flow chart of a low-temperature storage reminding method of an operating system of the Internet of things according to an embodiment of the invention;
FIG. 3 is a flow chart of a low temperature storage alert method according to an alternative embodiment of the present invention;
FIG. 4 is a schematic diagram of purchased merchandise information displayed in a transaction application interface according to an embodiment of the present invention;
FIG. 5 is a parameter diagram of a purchased item according to an embodiment of the present invention;
fig. 6 is a schematic view of a camera arrangement in a refrigerator according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a low-temperature storage reminding system based on an internet of things operating system according to an embodiment of the invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Fig. 1 shows an application scenario diagram of an embodiment of the present invention. As shown in fig. 1, the application scenario may include a plurality of smart home devices. Such as smart refrigerators, terminals, etc. The intelligent household devices can be various types of terminal devices connected based on the Internet of things. The operating system of each terminal device can be configured with a communication module, and the cooperative operation among a plurality of devices in the Internet of things can be realized. In this embodiment, a server may also be provided, where the server may provide services such as data processing for each smart home device, and implement data intercommunication between the smart home devices, and the server and the terminal may establish communication connection with the smart home devices through the wireless router, and may also establish communication connection between the smart home devices through the wireless router.
In this embodiment, a low-temperature storage reminding method based on an internet of things operating system, which operates in a network architecture, is provided, fig. 2 is a flow chart of the method according to the embodiment of the present invention, and as shown in fig. 2, the flow includes the following steps:
step S202, the intelligent refrigerator receives a commodity list needing low-temperature storage from a terminal;
step S204, the intelligent refrigerator compares the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screens out target commodities which are not stored in the intelligent refrigerator in the commodity list;
and step S206, the intelligent refrigerator generates reminding information for storing the target commodity at low temperature.
Before step S202 in this embodiment, the method may further include: the terminal determines commodities needing low-temperature storage from commodities purchased by a user and generates a commodity list; and the terminal sends the commodity list to the intelligent refrigerator.
In this embodiment, the method may further include the steps of: the terminal acquires commodity information purchased by the user from the installed transaction application program; the terminal acquires storage condition parameters and appearance images of each commodity purchased by the user; and the terminal determines the commodities needing low-temperature storage according to the storage condition parameters and generates the commodity list comprising the commodity names and the appearance images needing low-temperature storage.
In step S204 of this embodiment, the intelligent refrigerator matches the appearance image of the product in the product list with a scanned image of a product stored in the intelligent refrigerator, so as to screen out a target product not stored in the intelligent refrigerator in the product list.
In this embodiment, before the intelligent refrigerator matches the appearance image of the commodity in the commodity list with the scanned image of the commodity stored in the intelligent refrigerator, the method may further include: and when the stored commodities are stored in the intelligent refrigerator, scanning the stored commodities to generate the scanned image and storing the scanned image.
In step S206 of this embodiment, at least one of the following steps may be further included: the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and displays the reminding information on a display screen of the intelligent refrigerator; the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and sends the reminding information to a designated terminal.
In the embodiment of the invention, the commodities needing low-temperature storage can be identified from the commodities purchased by the user, the commodities which are forgotten to be put into the refrigerator by the user are determined according to the commodities which are put into the refrigerator by the user and the commodities needing low-temperature storage, and the user is reminded. Since the user can be reminded to put the goods which need to be stored at low temperature into the refrigerator, the problem of the prior art can be effectively solved.
In order to facilitate an understanding of the technical solutions provided by the present invention, a detailed description will be given below with reference to an embodiment having an application.
Fig. 3 is a schematic flow chart of the low-temperature storage reminding method based on the internet of things operating system, and as shown in fig. 3, the method mainly includes the following steps:
step S302: the terminal determines a candidate commodity requiring low-temperature storage from commodities purchased by the user.
In this embodiment, an application associated with a supermarket may be installed in advance on the terminal, for example, the application "multi-point" associated with the tame supermarket, and based on the application associated with the supermarket, the terminal may determine the goods purchased from the supermarket by the user.
In one example, when a user purchases merchandise at a supermarket, the user may make the purchase using a member number (e.g., a cell phone number). When the user logs in to the application program associated with the supermarket using the member number, the goods purchased by the user at this time are displayed on the application program associated with the supermarket. Since the content is the prior art, the present solution is not described herein again.
In this embodiment, the terminal may monitor an application program associated with a supermarket, and when it is monitored that the user purchases a commodity, the terminal may determine the commodity purchased by the user from the application program associated with the supermarket, as shown in fig. 4.
After determining the commodity purchased by the user at this time, the terminal may acquire the specification parameters and the appearance image of each commodity purchased by the user at this time, and then determine the candidate commodity needing low-temperature storage according to the storage conditions in the acquired specification parameters, as shown in fig. 5.
Step S304: and the terminal generates a low-temperature storage reminding request according to the appearance image of the candidate commodity and sends the low-temperature storage reminding request to the refrigerator.
After determining the candidate goods that need to be stored at low temperature, the terminal may generate an appearance image correspondence table, as shown in table 1, according to the appearance images of the candidate goods and the candidate goods. The terminal may generate a low-temperature storage alert request according to the appearance image correspondence table, and then, the terminal may transmit the generated low-temperature storage alert request to the refrigerator through the established communication connection.
TABLE 1
| Candidate commodity | |
| Illijoyday | |
| 220g fruit-sucking cup chocolate&Blueberry | Image a |
| |
Image b |
Step S306: the refrigerator determines a target commodity needing to be stored and reminded for the user according to the received low-temperature storage reminding request and the commodity placed in the refrigerator by the user, and carries out low-temperature storage reminding for the user according to the target commodity.
In this scheme, can set up the camera in the refrigerator, based on the camera that sets up, the refrigerator can scan the commodity that the user put into, obtains the image that corresponds with the commodity that the user put into.
In one example, as shown in fig. 5, a camera may be provided at an upper half portion of an inner side surface of each floor of the storage space of the refrigerator.
It should be noted that fig. 6 only shows the arrangement of the camera in the storage room at the upper left corner of the refrigerator, and in actual use, the camera may be arranged at the upper half of the inner side surface of each storage space of all the storage rooms of the refrigerator.
After the refrigerator receives a low-temperature storage reminding request sent by the terminal, candidate commodities needing low-temperature storage and appearance images of the candidate commodities can be determined according to the low-temperature storage reminding request.
The refrigerator can scan the commodity placed by the user each time through the arranged camera when detecting that the refrigerator door is opened by the user, so as to obtain an image corresponding to the commodity placed by the user each time, then, the refrigerator can match the image corresponding to the commodity placed by the user each time with the appearance image of each candidate commodity, and determine the commodity placed by the user each time from the candidate commodities according to a matching result.
It should be noted that, in consideration of the possibility that the user puts a plurality of candidate products at a time, the number of the products that the user puts at a time determined by the refrigerator may be one or more.
For example, when the refrigerator matches the image of the product placed by the user at a certain time with the appearance image of each candidate product in table 1, the matching with the image a in table 1 is successful, and at this time, the refrigerator may determine the product "illi joyday220g chocolate & blueberry" corresponding to the image a as the product placed by the user at this time.
In this embodiment, after determining the commodity of the refrigerator, the refrigerator may determine whether the user puts all the candidate commodities into the refrigerator, if the user does not put all the candidate commodities into the refrigerator, the refrigerator may determine the target commodity, which is not put into the refrigerator, of the user according to the commodity of the refrigerator and the candidate commodity, and then the refrigerator may prompt the user to put the target commodity into the refrigerator through a set display screen or a set terminal; if the user puts all the candidate goods into the refrigerator, the refrigerator may prompt the user that all the goods have been successfully put into the refrigerator through a display screen or a terminal provided.
In the embodiment of the invention, the commodities needing low-temperature storage can be identified from the commodities purchased by the user, the commodities which are forgotten to be put into the refrigerator by the user are determined according to the commodities which are put into the refrigerator by the user and the commodities needing low-temperature storage, and the user is reminded. Since the user can be reminded to put the goods needing low-temperature storage into the refrigerator, the problems in the prior art can be effectively solved
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The embodiment also provides a low-temperature storage reminding system based on an operating system of the internet of things, which is used for implementing the above embodiments and preferred embodiments, and the description of the system is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a block diagram of a low-temperature storage reminding system based on an internet of things operating system according to an embodiment of the present invention, and as shown in fig. 7, the system includes an intelligent refrigerator 100 and a terminal 200.
The smart terminal 200 is configured to determine goods that need to be stored at a low temperature from the goods purchased by the user, generate the goods list, and transmit the goods list to the smart refrigerator 100.
The intelligent refrigerator 200 receives the commodity list, compares the commodities in the commodity list with the commodities stored in the intelligent refrigerator to screen out target commodities which are not stored in the intelligent refrigerator in the commodity list, and generates reminding information for storing the target commodities at low temperature
In an alternative embodiment, the intelligent refrigerator 100 includes a receiving module 10, a filtering module 20, and a generating module 30. The receiving module 10 is used for receiving a list of goods to be stored at low temperature from the terminal 200. The screening module 20 is configured to compare the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screen out target commodities in the commodity list that are not stored in the intelligent refrigerator. The generating module 30 is configured to generate a reminding message for low-temperature storage of the target product.
In an alternative embodiment, the terminal 200 includes a determining module 40 and a sending module 50. The determining module 40 is used for determining the commodities needing low-temperature storage from the commodities purchased by the user and generating the commodity list. The sending module 50 is configured to send the commodity list to the intelligent refrigerator.
In an optional embodiment, the determining module 40 of the terminal 200 further includes a first obtaining unit 41, a second obtaining unit 42 and a determining unit 43. The first obtaining unit 41 is configured to obtain the commodity information purchased by the user from the installed transaction application. The second acquiring unit 42 is configured to acquire the storage condition parameters and the appearance image of each commodity purchased by the user. The determination unit 43 is configured to determine the commodity that needs to be stored at low temperature according to the storage condition parameters, and generate the commodity list including the commodity name and the appearance image that need to be stored at low temperature.
In an alternative embodiment, the screening module 20 of the intelligent refrigerator comprises a matching unit 21. The matching unit 21 is configured to match the appearance image of the commodity in the commodity list with a scanned image of the commodity stored in the intelligent refrigerator, so as to screen out a target commodity in the commodity list that is not stored in the intelligent refrigerator.
In an optional embodiment, the intelligent refrigerator 100 further includes a camera module 60. The camera module 60 is configured to scan the stored goods to generate the scanned image and store the scanned image when the stored goods are stored in the smart refrigerator.
In an optional embodiment, the intelligent refrigerator 100 further comprises a display module 70 and/or a transmission module 80. The display module 70 is configured to display a reminding message of low-temperature storage of the target product on a display screen of the intelligent refrigerator. The sending module 80 is configured to send the reminding information of the low-temperature storage of the target product to the designated terminal.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Optionally, in this embodiment, the storage medium may include but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (13)
1. A low-temperature storage reminding method based on an Internet of things operating system is characterized by comprising the following steps:
the intelligent refrigerator receives a commodity list needing low-temperature storage from a terminal;
the intelligent refrigerator compares the commodities in the commodity list with the commodities stored in the intelligent refrigerator, and screens out target commodities which are not stored in the intelligent refrigerator in the commodity list;
the intelligent refrigerator generates reminding information for storing the target commodity at low temperature;
before the intelligent refrigerator receives the commodity list needing low-temperature storage from the terminal, the method further comprises the following steps: the terminal acquires commodity information purchased by a user from the installed transaction application program, acquires storage condition parameters and appearance images of each commodity purchased by the user, determines commodities needing low-temperature storage according to the storage condition parameters, and generates the commodity list comprising commodity names and appearance images needing low-temperature storage.
2. The method as claimed in claim 1, wherein the smart refrigerator compares the goods in the goods list with the stored goods in the smart refrigerator, and screens out the target goods in the goods list that are not stored in the smart refrigerator, including:
and the intelligent refrigerator matches the appearance images of the commodities in the commodity list with the scanning images of the commodities stored in the intelligent refrigerator, and screens out the target commodities which are not stored in the intelligent refrigerator in the commodity list.
3. The method of claim 2, wherein before the intelligent refrigerator matches the appearance image of the commodity in the commodity list with the self-stored scanned image of the commodity stored in the intelligent refrigerator, the method further comprises:
and when the stored commodity is stored in the intelligent refrigerator, scanning the commodity to generate the scanning image and storing the scanning image.
4. The method of claim 1, wherein the intelligent refrigerator generating the reminder for low-temperature storage of the target commodity comprises at least one of:
the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and displays the reminding information on a display screen of the intelligent refrigerator;
the intelligent refrigerator generates reminding information for storing the target commodity at low temperature and sends the reminding information to a designated terminal.
5. A low-temperature storage reminding method based on an Internet of things operating system is characterized by comprising the following steps:
the terminal determines commodities needing low-temperature storage from commodities purchased by a user and generates a commodity list;
the terminal sends the commodity list to an intelligent refrigerator, so that the intelligent refrigerator compares commodities in the commodity list with commodities stored in the intelligent refrigerator to screen out target commodities which are not stored in the intelligent refrigerator in the commodity list, and generates reminding information for low-temperature storage of the target commodities;
wherein the determining, by the terminal, goods that need to be stored at low temperature from among goods purchased by a user and generating the goods list includes:
the terminal acquires commodity information purchased by the user from the installed transaction application program;
the terminal acquires storage condition parameters and appearance images of each commodity purchased by the user;
and the terminal determines the commodities needing low-temperature storage according to the storage condition parameters and generates the commodity list comprising the commodity names and the appearance images needing low-temperature storage.
6. An intelligent refrigerator, comprising:
the receiving module is used for receiving a commodity list needing low-temperature storage from the terminal; the commodity list is the commodity information which is obtained by the terminal from the installed transaction application program and purchased by the user, the storage condition parameters and the appearance image of each commodity purchased by the user are obtained, then the commodities which need to be stored at low temperature are determined according to the storage condition parameters, and the commodity list comprising the commodity names and the appearance images which need to be stored at low temperature is generated; the screening module is used for comparing the commodities in the commodity list with the commodities stored in the intelligent refrigerator and screening out target commodities which are not stored in the intelligent refrigerator in the commodity list;
and the generation module is used for generating reminding information for storing the target commodity at low temperature.
7. The intelligent refrigerator of claim 6, wherein the screening module comprises:
and the matching unit is used for matching the appearance images of the commodities in the commodity list with the scanning images of the commodities stored in the intelligent refrigerator, and screening out target commodities which are not stored in the intelligent refrigerator in the commodity list.
8. The intelligent refrigerator of claim 7, further comprising:
and the camera module is used for scanning the stored commodity to generate and store the scanned image when the commodity is stored in the intelligent refrigerator.
9. The intelligent refrigerator of claim 6, further comprising at least one of:
the display module is used for displaying reminding information for low-temperature storage of the target commodity on a display screen of the intelligent refrigerator;
and the sending module is used for sending the reminding information of the low-temperature storage of the target commodity to a specified terminal.
10. A terminal, comprising:
the determining module is used for determining commodities needing low-temperature storage from commodities purchased by a user and generating the commodity list;
the sending module is used for sending the commodity list to an intelligent refrigerator so that the intelligent refrigerator can compare commodities in the commodity list with commodities stored in the intelligent refrigerator to screen out target commodities which are not stored in the intelligent refrigerator in the commodity list, and reminding information for low-temperature storage of the target commodities is generated;
wherein the determining module comprises:
a first acquisition unit configured to acquire commodity information purchased by the user from the installed transaction application;
a second acquisition unit configured to acquire a storage condition parameter and an appearance image of each commodity purchased by the user;
and the determining unit is used for determining the commodities needing low-temperature storage according to the storage condition parameters and generating the commodity list comprising the commodity names needing low-temperature storage and the appearance images.
11. A low-temperature storage reminding system based on an Internet of things operating system is characterized by comprising the intelligent refrigerator of any one of claims 6 to 9 and the terminal of claim 10.
12. A computer-readable storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 5 when executed.
13. An electronic device comprising a memory and a processor, wherein the memory has a computer program stored therein, and the processor is configured to execute the computer program to perform the method of any of claims 1 to 5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106871571A (en) * | 2017-02-08 | 2017-06-20 | 佛山市小鲜互联电器科技有限公司 | A kind of refrigerator that shopping prompting is carried out according to storage principle condition |
| CN108626960A (en) * | 2017-03-16 | 2018-10-09 | 北京京东尚科信息技术有限公司 | Information-pushing method, system, intelligent refrigerated equipment and intelligent domestic system |
| CN109539685A (en) * | 2018-11-16 | 2019-03-29 | 安徽省岳西县四达有限责任公司 | A kind of intelligent refrigerating system based on Internet of Things |
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| KR20140122095A (en) * | 2013-04-09 | 2014-10-17 | 삼성전자주식회사 | Refrigerator and mobile terminal for food management |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106871571A (en) * | 2017-02-08 | 2017-06-20 | 佛山市小鲜互联电器科技有限公司 | A kind of refrigerator that shopping prompting is carried out according to storage principle condition |
| CN108626960A (en) * | 2017-03-16 | 2018-10-09 | 北京京东尚科信息技术有限公司 | Information-pushing method, system, intelligent refrigerated equipment and intelligent domestic system |
| CN109539685A (en) * | 2018-11-16 | 2019-03-29 | 安徽省岳西县四达有限责任公司 | A kind of intelligent refrigerating system based on Internet of Things |
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