CN111092781A - Household appliance data management method and device and household appliance - Google Patents
Household appliance data management method and device and household appliance Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/2818—Controlling appliance services of a home automation network by calling their functionalities from a device located outside both the home and the home network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/022—Capturing of monitoring data by sampling
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- 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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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/62—Establishing a time schedule for servicing the requests
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Abstract
A data management method and device for household electrical appliances and the household electrical appliances are provided, the data management method for the household electrical appliances comprises the following steps: receiving configuration information sent by a cloud server, wherein the configuration information is used for indicating to acquire and report system information of the household appliance; acquiring system information of the household appliance according to the configuration information; preprocessing the system information; and uploading the preprocessed system information to a cloud server according to the configuration information. The scheme provided by the invention can collect the system information of the household appliance and report the system information to the cloud, so that the fault reasons can be conveniently and timely searched, the energy consumption is reduced, and the using effect is optimized.
Description
Technical Field
The invention relates to the technical field of intelligent household appliances, in particular to a household appliance data management method and device and a household appliance.
Background
With the development of the internet technology, the cloud technology and the big data technology are mature day by day, more and more household appliances use the intelligent operating system, more applications are installed, and more application scenes are provided. In order to facilitate users, smart appliances are becoming a major trend today.
However, as home appliances become more intelligent, some attendant problems may also follow. Firstly, compared with the traditional household appliances, the operating system of the intelligent household appliance is complex, so that the situations of system crash, restart, software crash and the like are more likely to occur, after-sales personnel receive complaints from users, no method is available for obtaining effective information, technical personnel cannot obtain log information of the system, and the problem can be solved only by trying to reproduce. Secondly, as more and more application programs are installed on the household appliance, the system power consumption and the system overhead are increased continuously, and some application programs are not used properly or are not used for a long time, which wastes system resources.
Therefore, a new method and apparatus for managing data of a home device and a home device are needed to solve the above problems.
Disclosure of Invention
The embodiment of the invention provides a data management method for household electrical appliances, which comprises the following steps: receiving configuration information sent by a cloud server, wherein the configuration information is used for indicating to acquire and report system information of the household appliance; acquiring system information of the household appliance according to the configuration information; preprocessing the system information; and uploading the preprocessed system information to a cloud server according to the configuration information.
Compared with the prior art, the embodiment of the invention has the advantages that the household appliance equipment acquires the system information and reports the system information to the cloud, on one hand, when the household appliance equipment breaks down, maintenance personnel can judge the failure reason in time according to the reported system information, so that the maintenance efficiency is improved, and the user experience is optimized. On the other hand, the household appliance manufacturer can optimize the application program installed on the household appliance according to the reported system information, so that the system power consumption is reduced. On the other hand, the seller can analyze and mine the big data of the reported system information and discover the consumption habits of the consumers, so that personalized and customized services can be realized, the use experience of the users is improved, and important references are provided for the business decisions of the seller.
Optionally, the receiving the configuration information sent by the cloud server includes: receiving first monitoring information from a cloud server, wherein the first monitoring information is used for indicating to acquire the system information or part of the system information and/or acquisition frequency. Therefore, the cloud server can flexibly set which information is acquired and/or the acquisition frequency by sending the first monitoring information according to actual needs.
Optionally, the obtaining frequency includes a polling obtaining frequency, and is used to instruct the home appliance device to obtain a period of the system information. Therefore, by adopting the polling type acquisition frequency, the period of partial system information can be acquired, and the integrity of the acquired system information is improved.
Optionally, the obtaining frequency includes an interrupt-type obtaining frequency, which is used to instruct the home appliance device to obtain the system information when a trigger event occurs. For part of the system information, the use of the interrupt-type acquisition frequency can reduce the system power consumption.
Optionally, the acquisition frequency is variable. Therefore, the cloud server can set the type of the acquisition frequency according to actual needs, and can set the period of the acquisition frequency to improve the flexibility of the system.
Optionally, after the system information of the home appliance is acquired, the system information is further stored.
Optionally, the receiving the configuration information sent by the cloud server includes: receiving second monitoring information from a cloud server, wherein the second monitoring information is used for indicating that the system information or part of the system information is uploaded to the cloud server and/or uploading frequency. Therefore, the cloud server can flexibly set which information is uploaded and/or the uploading frequency by sending the second monitoring information according to actual needs. For the same item of system information, the acquisition frequency and the uploading frequency can be different, so that the household appliance does not need to frequently send the acquired system information, and the power consumption of the system is reduced.
Optionally, the upload frequency includes a polling type upload frequency, and is used to indicate a period for uploading the system information by the home appliance device. Therefore, the acquired system information can be uploaded periodically, and the power consumption of the system is reduced.
Optionally, the preprocessing the system information includes: and performing data format conversion processing on the stored system information so as to meet the requirement of the cloud server on the data format.
Optionally, the system information includes: application usage information, user usage habit information, system power consumption information, system exception status information, or any combination thereof. Therefore, by setting a plurality of items of system information, the working state of the household appliance and the use habit of a user can be known in an all-around manner, so that the intelligent degree and the management convenience of the household appliance are improved.
The embodiment of the invention also provides a data management device for household electrical appliances, which comprises: the system control module is used for controlling the acquisition module, the preprocessing module and the reporting module according to configuration information sent by the cloud server, wherein the configuration information is used for indicating the acquisition and reporting of system information of the household appliance; the acquisition module is used for acquiring the system information of the household appliance according to the configuration information; the preprocessing module is used for preprocessing the system information; and the reporting module is used for uploading the preprocessed system information to the cloud server according to the configuration information.
Compared with the prior art, the embodiment of the invention has the advantages that the system information of the household appliance can be acquired and reported to the cloud server by adding the modules, on one hand, when the household appliance breaks down, maintenance personnel can timely judge the failure reason according to the reported system information, so that the maintenance efficiency is improved, and the user experience is optimized. On the other hand, the household appliance manufacturer can optimize the application program installed on the household appliance according to the reported system information, so that the system power consumption is reduced. On the other hand, the seller can analyze and mine the big data of the reported system information and discover the consumption habits of the consumers, so that personalized and customized services can be realized, the use experience of the users is improved, and important references are provided for the business decisions of the seller.
Optionally, the system control module includes: the first control submodule is used for receiving first monitoring information from a cloud server, and the first monitoring information is used for indicating to acquire the system information or part of the system information and/or the acquisition frequency. Therefore, the cloud server can flexibly set which information is acquired and/or the acquisition frequency by sending the first monitoring information according to actual needs.
Optionally, the obtaining frequency includes a polling obtaining frequency, and is used to instruct the home appliance device to obtain a period of the system information. Therefore, by adopting the polling acquisition frequency, partial system information can be periodically acquired, and the integrity of the acquired system information is improved.
Optionally, the obtaining frequency includes an interrupt-type obtaining frequency, which is used to instruct the home appliance device to obtain the system information when a trigger event occurs. For part of the system information, the use of the interrupt-type acquisition frequency can reduce the system power consumption.
Optionally, the acquisition frequency is variable. Therefore, the cloud server can set the type of the acquisition frequency according to actual needs, and can set the period of the acquisition frequency to improve the flexibility of the system.
Optionally, the data management apparatus for home appliances further includes a storage module, configured to store the system information acquired by the acquisition module.
Optionally, the system control module includes: and the second control submodule is used for receiving second monitoring information from a cloud server, and the second monitoring information is used for indicating that the system information or part of the system information is uploaded to the cloud server and/or uploading frequency. Therefore, the cloud server can flexibly set which information is uploaded and/or the uploading frequency by sending the second monitoring information according to actual needs. For the same item of system information, the acquisition frequency and the uploading frequency can be different, so that the household appliance does not need to frequently send the acquired system information, and the power consumption of the system is reduced.
Optionally, the upload frequency includes a polling type upload frequency, and is used to indicate a period for uploading the system information by the home appliance device. Therefore, the acquired system information can be uploaded periodically, and the power consumption of the system is reduced.
Optionally, the preprocessing module for preprocessing the system information includes: the preprocessing module carries out data format conversion processing on the system information, so that the requirement of a cloud server on the data format is met.
Optionally, the system information includes: application usage information, user usage habit information, system power consumption information, system abnormal state information, or any combination thereof. Therefore, by setting a plurality of items of system information, the working state of the household appliance and the use habit of a user can be known in an all-around manner, so that the intelligent degree and the management convenience of the household appliance are improved.
An embodiment of the present invention further provides a home appliance, including: a functional module; and the home appliance data management device, the home appliance data management device comprising: the system control module is used for controlling the acquisition module, the preprocessing module and the reporting module according to configuration information sent by the cloud server, wherein the configuration information is used for indicating the acquisition and reporting of system information of the household appliance; the acquisition module is used for acquiring the system information of the household appliance according to the configuration information; the preprocessing module is used for preprocessing the system information; and the reporting module is used for uploading the preprocessed system information to the cloud server according to the configuration information.
Compared with the prior art, the embodiment of the invention has the advantages that the household appliance equipment acquires and reports the system information to the cloud server, so that the fault reasons can be conveniently and timely checked, the energy consumption is reduced, and the use effect is optimized.
Drawings
Fig. 1 is a schematic flow chart of a data management method for a home appliance according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a data management apparatus for a home appliance according to an embodiment of the present invention; and
fig. 3 is a schematic structural diagram of a home appliance according to an embodiment of the present invention.
Detailed Description
Fig. 1 is a flowchart illustrating a method for managing data of a home appliance according to an embodiment of the present invention.
The household appliance provided by the embodiment of the invention can be an intelligent household appliance with a communication function, such as a washing machine, a refrigerator, an air conditioner, a microwave oven, a television and the like.
In this embodiment, the home appliance is shown as an example of an intelligent refrigerator. At present, the intelligent refrigerator uses an intelligent operating system and is provided with a wireless communication capability to access a home router, so that data collection can be performed inside the intelligent refrigerator and the collected data can be uploaded to a cloud, and important references are provided for manufacturing and maintaining the intelligent refrigerator by a household appliance manufacturer. Meanwhile, with the gradual maturity and wide application of big data mining, more and more sellers find the consumption habits of customers in user data, find out the product combinations preferred by the customers through transaction records, and can also obtain the behavior characteristics of lost customers as the reference for enterprises to make business decisions.
Referring to fig. 1, in S11, configuration information sent by the cloud server is received, where the configuration information is used to instruct to acquire and report system information of the home appliance.
In some embodiments, the intelligent refrigerator includes at least one function module (also referred to as a work module) that can be used to control the home appliance to operate in a corresponding operation state. Taking a refrigerator as an example, the functional module may include: compressor, condenser, refrigerator door, human-computer interface and application etc.. Each functional module generates corresponding system information during operation. The method comprises the steps of obtaining and reporting system information of the intelligent refrigerator, namely obtaining and reporting the system information of at least one functional module in the intelligent refrigerator.
In some embodiments, the system information comprises: application usage information, user usage habit information, system power consumption information, system exception status information, or any combination thereof.
The application program usage information is usage of each application program installed on the intelligent refrigerator, and the application programs may include: a menu recommendation application, a voice recognition application, an online shopping application, etc. The application usage information includes: frequency of use, duration of use, and period of use of each application, and the like. The manufacturer of the intelligent refrigerator can acquire the use condition of each application program according to the information, so that the application programs are improved and designed according to the use condition of users, and the application programs with low use frequency can be cancelled, so that the storage space and the power consumption of the system are saved.
The user habit information may include: door opening and closing data, internal food material data and the like. Specifically, the intelligent refrigerator can detect the states of opening and closing the door through a switch sensor, and acquire the frequency and the time period for opening and closing the refrigerator door by a user, so that manufacturers and sellers can know the use habits of the user on the intelligent refrigerator. Meanwhile, the intelligent refrigerator can shoot the food materials stored inside through the built-in camera to acquire the type, the number and other related data of the food materials, and can acquire the number of eggs in the intelligent refrigerator through the pressure sensor on the egg rack, so that the preference of a user for the food materials and the combination of the food materials can be acquired, and the temperature inside the intelligent refrigerator can be adjusted in a self-adaptive mode according to the type and the number of the food materials stored inside.
The system power consumption information can comprise power consumption data of each functional module of the intelligent refrigerator, and the time period for the user to intensively use the intelligent refrigerator and the functional modules thereof can be known by acquiring the system power consumption information, so that reference is provided for system optimization of research personnel.
The system abnormality information may include abnormality state data of each functional module of the intelligent refrigerator, and specifically, may be a system log. By reporting the system abnormal information, when the intelligent refrigerator breaks down, maintenance personnel can timely and accurately find out the reason of the failure, so that the reliability of equipment is improved.
In some embodiments, the home appliance may receive configuration information sent by a cloud server, where the configuration information includes first monitoring information and second monitoring information, the first monitoring information is used to instruct to acquire the system information or a part of the system information and/or an acquisition frequency, and the second monitoring information is used to instruct to upload the system information or a part of the system information to the cloud server and/or an upload frequency.
In S12, system information of the home appliance is acquired according to the configuration information.
In some embodiments, obtaining the system information of the home device according to the configuration information includes: and acquiring the system information according to the first monitoring information. Specifically, the first monitoring information is used to indicate to acquire the system information or a part of the system information, and/or an acquisition frequency. That is, the first monitoring information may only instruct the intelligent refrigerator to acquire the system information or only acquire a part of each item of system information, may only instruct the acquisition frequency of the system information, or instruct which system information and the acquisition frequency thereof are acquired at the same time.
In some embodiments, still taking an intelligent refrigerator as an example, the intelligent refrigerator may determine which system information according to the first monitoring information. Specifically, the cloud server may instruct, through the first monitoring information, the intelligent refrigerator to acquire only a certain item of system information, or may instruct the intelligent refrigerator to acquire several items of system information, or even all of the system information.
The acquisition frequency may comprise a polling type acquisition frequency or an interrupt type acquisition frequency. The polling type acquisition frequency is used for indicating the period of the system information acquired by the household appliance, and the interrupt type acquisition frequency is used for indicating the household appliance to acquire the system information when a trigger event occurs.
In some embodiments, if the cloud server can set the period of the obtaining frequency, for example, the power consumption data of the compressor of the smart refrigerator is obtained every 1 hour. The cloud server can set different periods for different system information. For important system information, a relatively short period may be set, and the present invention is not limited thereto with respect to specific period data.
In some embodiments, if the obtaining frequency is an interrupt obtaining frequency, the cloud server may set a trigger event for obtaining the system information, for example, when a user opens or closes a refrigerator door, a built-in camera will take a picture of the inside of the refrigerator to obtain the data of the internal food material, and in this embodiment, opening or closing the refrigerator door is the trigger event. In the implementation, if the refrigerator door is not opened or closed, the internal storage of the intelligent refrigerator is not changed, so that the system energy consumption in the data acquisition process can be reduced by adopting the interrupt type acquisition frequency for the system information.
In some embodiments, the frequency of acquisition of the system information is variable. That is to say, the cloud server may set the type of the acquisition frequency according to actual needs, and may set the period of the polling acquisition frequency, so as to improve the flexibility of the system.
In S13, the system information is stored.
In some embodiments, after the system information of the home appliance is obtained, the system information is stored in a corresponding storage area, for example, a Read Only Memory (ROM) disposed inside the smart refrigerator.
In S14, the system information is preprocessed.
In some embodiments, the pre-processing the system information comprises: and performing data format conversion processing on the stored system information. In S13, the system information stored in the home appliance device is in the form of a log file, and cannot be directly uploaded to the cloud server, and before the system information is uploaded, the stored system information is periodically read, and the system information is converted into a format suitable for transmission according to an interface agreed between the intelligent refrigerator and the cloud server.
In some embodiments, the converted data format may be a data format required by the cloud for data transmission through a Java Script Object Notation (JSON) message, or may be a data format required by a hypertext Transfer Protocol over Secure Socket Layer (HTTPS). In a specific implementation, the converted data format is determined by the protocol actually used.
In S15, the preprocessed system information is uploaded to the cloud server according to the configuration information.
In some embodiments, the intelligent refrigerator may upload the preprocessed system information to a cloud server according to the second monitoring information. Specifically, the second monitoring information is used to instruct to upload the system information or a part of the system information to a cloud server, and/or to instruct to upload a frequency. That is, the second monitoring information may only indicate that the intelligent refrigerator uploads the system information or a part of the system information, may only indicate an uploading frequency of the system information, or indicate which system information and the uploading frequency thereof to upload at the same time.
In some embodiments, the intelligent refrigerator may determine to upload the system information or a part of the system information according to the second monitoring information. Specifically, the cloud server may instruct, through the second monitoring information, the intelligent refrigerator to upload only one piece of system information, may also instruct the intelligent refrigerator to upload several pieces of system information, or even upload all pieces of system information.
In some embodiments, the uploading frequency includes a polling type uploading frequency, which is used to instruct the home appliance device to upload the system information periodically, for example, to upload the obtained internal food material data to a cloud server every 24 hours.
In some embodiments, the cloud server may set different uploading frequencies for different system information. And for system information with higher timeliness requirements, such as system abnormal state information, higher uploading frequency can be set, so that maintenance personnel can timely find out corresponding fault reasons when the intelligent refrigerator has faults.
The intelligent refrigerator does not need to upload the system information to a cloud server immediately after the system information is acquired, and on one hand, the subsequent data analysis and big data processing do not need to upload the system information in real time by the intelligent refrigerator; on the other hand, frequent uploading of the system information increases system power consumption.
In some embodiments, uploading the preprocessed system information to the cloud server by the smart refrigerator includes: transmitting the preprocessed system information to a home router in a wireless communication mode; and uploading the preprocessed system information to a cloud server through a home router.
In some embodiments, the manner of Wireless communication may be Wireless-Fidelity (WiFi).
Referring to fig. 2, fig. 2 is a schematic structural diagram of a home appliance data management device 20 according to an embodiment of the present invention.
The home appliance data management device 20 includes: the system comprises a system control module 21, an acquisition module 22, a storage module 23, a preprocessing module 24 and a reporting module 25.
In some embodiments, the system control module 21 is configured to control the obtaining module 22, the storage module 23, the preprocessing module 24, and the reporting module 25, and the configuration information is used to instruct to obtain and report system information of the home appliance device
The obtaining module 22 is configured to obtain system information of the home appliance according to the configuration information. The acquisition module may be a sensor provided to each functional unit.
The storage module 23 is configured to store the system information acquired by the acquisition module 22.
The preprocessing module 24 is configured to preprocess the system information.
The reporting module 25 is configured to upload the preprocessed system information to the cloud server according to the configuration information.
In some embodiments, the system control module 21 includes: the first control sub-module 211 is configured to receive first monitoring information from a cloud server, where the first monitoring information is used to indicate that the system information or a part of the system information is acquired, and/or an acquisition frequency.
In some embodiments, the acquisition frequency comprises a polling-type acquisition frequency for instructing the home device to acquire a period of the system information.
In some embodiments, the acquisition frequency comprises an interrupt-type acquisition frequency for instructing the home device to acquire the system information upon the occurrence of a triggering event.
In some embodiments, the acquisition frequency is variable.
In some embodiments, the system control module 21 includes: a second control sub-module 212, configured to receive second monitoring information from the cloud server, where the second monitoring information is used to instruct to upload the system information or a part of the system information to the cloud server, and/or to upload a frequency.
In some embodiments, the upload frequency comprises a polling type upload frequency for instructing the home device to upload a period of the system information.
In some embodiments, the preprocessing module 24 preprocessing the system information includes: the preprocessing module 24 performs data format conversion processing on the system information.
In some embodiments, the system information comprises: application usage information, user usage habit information, system power consumption information, system abnormal state information, or any combination thereof.
For more detailed descriptions of the home device data management apparatus 20, reference may be made to the above description of the home device data management method, which is not repeated herein.
Referring to fig. 3, an embodiment of the present invention further provides a home device 30, where the home device includes a function module (31-3N) and the home device data management apparatus 20. The number of the functional modules (31-3N) is at least one. In some embodiments, the home device data management apparatus 20 is adapted to issue a control instruction to the functional module (31-3N) to control the functional module (31-3N) of the home device 30 and obtain system information of the functional module (31-3N).
Referring to fig. 2 and 3 in combination, the home device data management apparatus 20 includes: the system comprises a system control module 21, an acquisition module 22, a storage module 23, a preprocessing module 24 and a reporting module 25. In some embodiments, the system control module 21 is configured to control the obtaining module 22, the storage module 23, the preprocessing module 24, and the reporting module 25, and the configuration information is used to instruct to obtain and report system information of the home appliance. The obtaining module 22 is configured to obtain system information of the home appliance according to the configuration information. The storage module 23 is configured to store the system information acquired by the acquisition module 22. The preprocessing module 24 is configured to preprocess the system information. The reporting module 25 is configured to upload the preprocessed system information to the cloud server according to the configuration information.
For more detailed description of the home device 30, reference may be made to the foregoing description of the home device data management method and the home device data management apparatus 20, and further description is omitted here.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and the storage medium may include: ROM, RAM, magnetic or optical disks, and the like.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (21)
1. A data management method for household appliances is characterized by comprising the following steps:
receiving configuration information sent by a cloud server, wherein the configuration information is used for indicating to acquire and report system information of the household appliance;
acquiring system information of the household appliance according to the configuration information;
preprocessing the system information; and
and uploading the preprocessed system information to a cloud server according to the configuration information.
2. The method according to claim 1, wherein the receiving the configuration information sent by the cloud server comprises: receiving first monitoring information from a cloud server, wherein the first monitoring information is used for indicating to acquire the system information or part of the system information and/or acquisition frequency.
3. The method as claimed in claim 2, wherein the acquisition frequency comprises a polling acquisition frequency for instructing the period of the system information acquisition of the home device.
4. The method as claimed in claim 2, wherein the acquiring frequency comprises an interrupt-type acquiring frequency for instructing the home device to acquire the system information when a trigger event occurs.
5. The method as claimed in claim 2, wherein the acquisition frequency is variable.
6. The method as claimed in claim 1, further comprising storing the system information after acquiring the system information of the home device.
7. The method according to claim 1, wherein the receiving the configuration information sent by the cloud server comprises: receiving second monitoring information from a cloud server, wherein the second monitoring information is used for indicating that the system information or part of the system information is uploaded to the cloud server and/or uploading frequency.
8. The method as claimed in claim 7, wherein the upload frequency includes a polling type upload frequency for indicating a period of uploading the system information by the home appliance.
9. The method for managing data of a home device according to claim 1, wherein the preprocessing the system information comprises: and performing data format conversion processing on the stored system information.
10. The method of claim 1, wherein the system information comprises: application usage information, user usage habit information, system power consumption information, system exception status information, or any combination thereof.
11. A home device data management apparatus (20), comprising:
the system control module (21) is used for controlling the acquisition module (22), the preprocessing module (24) and the reporting module (25) according to the configuration information sent by the cloud server, wherein the configuration information is used for indicating to acquire and report the system information of the household appliance;
an obtaining module (22) for obtaining the system information of the household appliance according to the configuration information;
a preprocessing module (24) for preprocessing the system information; and
and the reporting module (25) is used for uploading the preprocessed system information to the cloud server according to the configuration information.
12. The home device data management apparatus (20) of claim 11, wherein the system control module (21) comprises: the first control submodule (211) is configured to receive first monitoring information from a cloud server, where the first monitoring information is used to indicate that the system information or a part of the system information is acquired, and/or an acquisition frequency.
13. The home device data management apparatus (20) of claim 12, wherein the acquisition frequency comprises a polling-type acquisition frequency for indicating a period in which the home device acquires the system information.
14. The home device data management apparatus (20) of claim 12, wherein the acquisition frequency comprises an interrupt-type acquisition frequency for instructing the home device to acquire the system information when a trigger event occurs.
15. The home device data management apparatus (20) of claim 12, wherein the acquisition frequency is variable.
16. The home device data management apparatus (20) of claim 11, further comprising a storage module (23) for storing the system information obtained by the obtaining module.
17. The home device data management apparatus (20) of claim 11, wherein the system control module (21) comprises: a second control submodule (212) for receiving second monitoring information from a cloud server, the second monitoring information being indicative of uploading the system information or a part of the system information to the cloud server and/or an uploading frequency.
18. The device (20) according to claim 17, wherein the upload frequency comprises a polling type upload frequency for indicating a period of uploading the system information by the home appliance.
19. The home device data management apparatus (20) of claim 11, wherein the preprocessing module (24) preprocesses the system information by: and the preprocessing module performs data format conversion processing on the system information.
20. The home device data management apparatus (20) of claim 11, wherein the system information comprises: application usage information, user usage habit information, system power consumption information, system abnormal state information, or any combination thereof.
21. An appliance device (30) comprising:
a functional module (31-3N);
characterized by that, still include the home appliances data management device (20), the home appliances data management device (20) includes:
the system control module (21) is used for controlling the acquisition module (22), the preprocessing module (24) and the reporting module (25) according to the configuration information sent by the cloud server, wherein the configuration information is used for indicating to acquire and report the system information of the household appliance;
the acquisition module (22) is used for acquiring the system information of the functional module of the household appliance according to the configuration information;
a preprocessing module (24) for preprocessing the system information; and
and the reporting module (25) is used for uploading the preprocessed system information to the cloud server according to the configuration information.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811241117.3A CN111092781A (en) | 2018-10-24 | 2018-10-24 | Household appliance data management method and device and household appliance |
| EP19795156.9A EP3871399A1 (en) | 2018-10-24 | 2019-10-23 | Household appliance data management method and apparatus, and household appliance |
| PCT/EP2019/078882 WO2020083988A1 (en) | 2018-10-24 | 2019-10-23 | Household appliance data management method and apparatus, and household appliance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811241117.3A CN111092781A (en) | 2018-10-24 | 2018-10-24 | Household appliance data management method and device and household appliance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111092781A true CN111092781A (en) | 2020-05-01 |
Family
ID=68387309
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811241117.3A Pending CN111092781A (en) | 2018-10-24 | 2018-10-24 | Household appliance data management method and device and household appliance |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3871399A1 (en) |
| CN (1) | CN111092781A (en) |
| WO (1) | WO2020083988A1 (en) |
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| CN111596561A (en) * | 2020-05-14 | 2020-08-28 | 芜湖美的厨卫电器制造有限公司 | Control method of household appliance, household appliance and household appliance monitoring system |
| CN114326426A (en) * | 2021-12-28 | 2022-04-12 | 艾拉物联网络(深圳)有限公司 | Intelligent home whole-house communication control method |
| CN114615137A (en) * | 2022-03-25 | 2022-06-10 | 浙江捷创方舟数字技术有限公司 | 5G data transmission method and device |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116346847B (en) * | 2023-02-15 | 2024-05-28 | 深圳市超创鑫科技有限公司 | Real-time acquisition and transmission method and system for household energy consumption data |
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Also Published As
| Publication number | Publication date |
|---|---|
| EP3871399A1 (en) | 2021-09-01 |
| WO2020083988A1 (en) | 2020-04-30 |
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