EP3871399A1

EP3871399A1 - Household appliance data management method and apparatus, and household appliance

Info

Publication number: EP3871399A1
Application number: EP19795156.9A
Authority: EP
Inventors: Jia Yang; Xiaohui Chen
Original assignee: BSH Hausgeraete GmbH
Current assignee: BSH Hausgeraete GmbH
Priority date: 2018-10-24
Filing date: 2019-10-23
Publication date: 2021-09-01
Also published as: CN111092781A; WO2020083988A1

Abstract

A household appliance data management method and apparatus, and a household appliance are disclosed. The household appliance data management method includes: receiving at the household appliance configuration information sent by a cloud server, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance; obtaining the system information of the household appliance according to the configuration information; performing preprocessing on the system information; and uploading the preprocessed system information to the cloud server according to the configuration information. The solution provided in the present invention can collect the system information of the household appliance and report the system information to the cloud, so as to find the failure cause in time, thereby reducing power consumption and optimizing a usage effect.

Description

HOUSEHOLD APPLIANCE DATA MANAGEMENT METHOD AND APPARATUS, AND HOUSEHOLD APPLIANCE

BACKGROUND

Technical Field

The present invention relates to the field of intelligent household appliance technologies, and specifically, to a household appliance data management method and apparatus, and a household appliance.

Related Art

With the development of the Internet, the cloud technology and the big data technology are becoming increasingly mature, and more household appliances adopt intelligent operating systems, install more applications and have more application scenarios. In order to facilitate the usage of household appliances, intelligent household appliances gradually become a major development trend nowadays.

However, in a case that household appliances become increasingly intelligent, some appended problems emerge. Firstly, compared with conventional household appliances, operating systems of the intelligent household appliances are more complex, which makes it easy to cause problems such as system crashes, reboots, and software crashes. There is no way to get valid information when after-sales personnel receive user's complaint, and technical personnel cannot get system log information and can only try to reproduce the system log information to resolve problems. Secondly, as more applications are installed in the household appliances, system power consumption and system overheads are increased constantly, and improper use of some applications or not using applications for a long time is also a waste of system resources.

Therefore, a new household appliance data management method and apparatus, and a household appliance are needed to resolve the foregoing problem. SUMMARY

Embodiments of the present invention provide a household appliance data management method, including: receiving configuration information sent by a cloud server at a household appliance, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance; obtaining the system information of the household appliance according to the configuration information; performing preprocessing on the system information; and uploading the preprocessed system information to the cloud server according to the configuration information.

Compared with the prior art, one advantage of the embodiments of the present invention lies in that the household appliance obtains the system information and reports the system information to the cloud. For one aspect, after the household appliance fails, maintenance personnel can determine the failure cause in time according to the reported system information, thereby improving maintenance efficiency, and optimizing user experience. For another aspect, household appliance manufacturers can optimize applications installed on the household appliance according to the reported system information, thereby reducing system power consumption. For still another aspect, sellers can perform big data analysis and data mining on the reported system information, and discover consumers' consumption habits, thereby implementing personalized and customized services, improving user experience, and providing important references for business decisions.

Optionally, the receiving configuration information sent by a cloud server includes: receiving first monitoring information from the cloud server, where the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency. In this way, the cloud server can flexibly set which information it wants to obtain and/or it can set an obtaining frequency by sending the first monitoring information according to actual needs.

Optionally, the obtaining frequency includes a polling-type obtaining frequency, used to instruct the household appliance to obtain a the system information periodically according to a predefined obtaining period length. In this way, using the polling-type obtaining frequency can obtain a period of some of the system information, and improve the integrity of the obtained system information.

Optionally, the obtaining frequency includes an interruption-type obtaining frequency, used to instruct the household appliance to obtain the system information when a triggering event occurs. For some of the system information, using the interruption-type obtaining frequency can reduce system power consumption.

Optionally, the obtaining frequency is changeable. In this way, the cloud server can set the type of the obtaining frequency according to actual needs and can set a period of the obtaining frequency to improve the flexibility of the system.

Optionally, after the system information of the household appliance is obtained, the method further includes storing the system information.

Optionally, the receiving configuration information sent by a cloud server includes: receiving second monitoring information from the cloud server, where the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency. In this way, the cloud server can flexibly set which information it wants to receive and/or it can set an uploading frequency by sending the second monitoring information according to actual needs. For the same system information, the obtaining frequency may be different from the uploading frequency. Therefore, the household appliance does not need to frequently send the obtained system information, thereby reducing system power consumption.

Optionally, the uploading frequency includes a polling-type uploading frequency, used to instruct the household appliance to upload a the system information periodically according to a predefined uploading period length. In this way, the obtained system information can be periodically uploaded, thereby reducing system power consumption.

Optionally, the performing preprocessing on the system information includes: performing data format conversion processing on the stored system information, thereby satisfying a requirement of the cloud server for a data format. Optionally, the system information includes: application usage information, user usage habit information, system power consumption information, system abnormal state information or any combination thereof. In this way, by setting a plurality of pieces of system information, a working state of the household appliance and users' usage habits can be comprehensively learned of, thereby improving the intelligence of the household appliance and the management convenience.

The embodiments of the present invention further provide a household appliance data management apparatus, including: a system control module, configured to receive configuration information sent by a cloud server, and to control an obtaining module, a preprocessing module and a reporting module, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance; the obtaining module, configured to obtain the system information of the household appliance according to the configuration information; the preprocessing module, configured to perform preprocessing on the system information; and the reporting module, configured to upload the preprocessed system information to the cloud server according to the configuration information.

Compared with the prior art, one advantage of the embodiments of the present invention lies in that by adding the foregoing modules, the system information of the household appliance can be obtained and reported to the cloud server. For one aspect, when the household appliance fails, maintenance personnel can determine the failure cause in time according to the reported system information, thereby improving maintenance efficiency, and optimizing user experience. For another aspect, household appliance manufacturers can optimize applications installed on the household appliance according to the reported system information, thereby reducing system power consumptions. For still another aspect, sellers can perform big data analysis and data mining on the reported system information, and discover consumers' consumption habits, thereby implementing personalized and customized services, improving user experience, and providing important references for business decisions.

Optionally, the system control module includes: a first control submodule, configured to receive first monitoring information from the cloud server, where the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency. In this way, the cloud server can flexibly set which information it wants to obtain and/or it can set an obtaining frequency by sending the first monitoring information according to actual needs.

Optionally, the obtaining frequency includes a polling-type obtaining frequency, used to instruct the household appliance to obtain the system information periodically according to a predefined obtaining period length. In this way, using the polling-type obtaining frequency can periodically obtain some of the system information, and improve the integrity of the obtained system information.

Optionally, the household appliance data management apparatus further includes a storage module, configured to store the system information obtained by the obtaining module.

Optionally, the system control module includes: a second control submodule, configured to receive second monitoring information from the cloud server, where the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency. In this way, the cloud server can flexibly set which information it wants to receive and/or can set an uploading frequency by sending the second monitoring information according to actual needs. For the same system information, the obtaining frequency may be different from the uploading frequency. Therefore, the household appliance does not need to frequently send the obtained system information, thereby reducing system power consumption. Optionally, the uploading frequency includes a polling-type uploading frequency, used to instruct the household appliance to upload the system information periodically according to a predefined obtaining period length. In this way, the obtained system information can be periodically uploaded, thereby reducing system power consumption.

Optionally, the preprocessing module performing preprocessing on the system information includes: the preprocessing module performing data format conversion processing on the system information, thereby satisfying a requirement of the cloud server for a data format.

Optionally, the system information includes: application usage information, user usage habit information, system power consumption information, system abnormal state information or any combination thereof. In this way, by setting a plurality of pieces of system information, a working state of the household appliance and users' usage habits can be comprehensively learned of, thereby improving the intelligence of the household appliance and the management convenience.

The embodiments of the present invention further provide a household appliance, including: a function module; and the household appliance data management apparatus, where the household appliance data management apparatus includes: a system control module, configured to receive configuration information sent by a cloud server, and to control an obtaining module, a preprocessing module and a reporting module, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance; the obtaining module, configured to obtain the system information of the household appliance according to the configuration information; the preprocessing module, configured to perform preprocessing on the system information; and the reporting module, configured to upload the preprocessed system information to the cloud server according to the configuration information.

Compared with the prior art, one advantage of the embodiments of the present invention lies in that the household appliance obtains the system information and reports the system information to the cloud server, so as to find the failure cause in time, thereby reducing power consumption and optimizing a usage effect. The invention has been described with regard to a method, an apparatus and a household appliance. If not stated otherwise, the features described with regard to one claim category can be applied in analogy to all other claim categories.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic flowchart of a household appliance data management method according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a household appliance data management apparatus according to an embodiment of the present invention; and

FIG. 3 is a schematic structural diagram of a household appliance according to an embodiment of the present invention.

DETAILED DESCRIPTION

FIG. 1 is a schematic flowchart of a household appliance data management method according to an embodiment of the present invention.

The household appliance provided in the embodiments of the present invention may be an intelligent household appliance with communication functions such as a washing machine, a refrigerator, an air conditioner, a microwave oven, or a television.

In this embodiment, an intelligent refrigerator as the household appliance is used as an example. Currently, the intelligent refrigerator may be equipped with an intelligent operating system and a wireless communication capability to access a router. Therefore, data may be collected in the intelligent refrigerator and the collected data may be uploaded to the cloud, thereby providing important references to household appliance manufacturers to manufacture and repair the intelligent refrigerator. Moreover, with the maturity and wide application of big data mining, more sellers find customers' consumption habits in user data, and find out the customers' preferred product portfolio through transaction records, and can also obtain behavior characteristics of lost customers as references for companies to make business decisions. Referring to FIG. 1 , in S1 1 , configuration information sent by a cloud server is received at the household appliance, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance.

In some embodiments, the intelligent refrigerator includes at least one function module, and the function module (may also be referred to as a work module) may be configured to control the household appliance to be run in a corresponding running state. Using a refrigerator as an example, the function module may include: a compressor, a condenser, a refrigerator door, a human-computer interface, an application and the like. Each function module can generate corresponding system information during running. The system information of the intelligent refrigerator is obtained and reported, that is, system information of at least one function module in the intelligent refrigerator is obtained and reported.

In some embodiments, the system information includes: application usage information, user usage habit information, system power consumption information, system abnormal state information or any combination thereof.

The application usage information is the usage condition of each application installed in the intelligent refrigerator, and the application may include: a recipe recommendation application, a speech recognition application, an online shopping application and the like. The application usage information includes: the usage frequency, usage time, usage time segment and the like of each application. Manufacturers of the intelligent refrigerator may obtain the usage condition of each application according to the information, so as to perform improved design on the application according to the users' usage condition, and may cancel installation of applications that are not frequently used, thereby saving system storage space and power consumption.

The user usage habit information may include: opening and closing door data, internal food data and the like. Specifically, the intelligent refrigerator may detect the state of opening and closing the door by a switch sensor and obtain the frequency and the time segment of opening and closing the refrigerator door, so that manufacturers and sellers learn of user's usage habit of the intelligent refrigerator. Meanwhile, the intelligent refrigerator may photograph the food stored inside by a built-in camera to obtain related data such as the type and the quantity of food, and may obtain the quantity of eggs in the intelligent refrigerator by a pressure sensor on the egg shelf, so that the user preferences for food and combinations thereof may be obtained, and the temperature inside the intelligent refrigerator may be adaptively adjusted according to the type and the quantity of food stored therein.

The system power consumption information may include power consumption data of each function module of the intelligent refrigerator. By obtaining the system power consumption information, the time segment in which the user centrally uses the intelligent refrigerator and the function module thereof may be learned of, thereby providing references for developers to perform system optimization.

The system abnormal state information may include abnormal state data of each function module of the intelligent refrigerator, specifically, a system log. By reporting the system abnormal state information, when the intelligent refrigerator fails, maintenance personnel can accurately find the failure cause in time, thereby improving the reliability of the device.

In some embodiments, the household appliance may receive the configuration information sent by the cloud server, where the configuration information includes first monitoring information and second monitoring information, the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency, and the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency.

In S12, obtain the system information of the household appliance according to the configuration information.

In some embodiments, the obtaining the system information of the household appliance according to the configuration information includes: obtaining the system information according to the first monitoring information. Specifically, the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate the obtaining frequency. That is, the first monitoring information may only instruct the intelligent refrigerator to obtain the system information or only obtain some of the system information, or may only indicate the obtaining frequency of the system information, or instruct the household appliance which system information the cloud wants to obtain and the obtaining frequency thereof.

In some embodiments, still using the intelligent refrigerator as an example, the intelligent refrigerator may determine the system information according to the first monitoring information. Specifically, the cloud server may instruct the intelligent refrigerator to obtain only one piece of the system information by using the first monitoring information, and may instruct the intelligent refrigerator to obtain several pieces of the system information or even all of the system information.

The obtaining frequency may include a polling-type obtaining frequency or an interruption- type obtaining frequency. The polling-type obtaining frequency is used to instruct the household appliance to obtain the system information periodically according to a predefined obtaining period length, and the interruption-type obtaining frequency is used to instruct the household appliance to obtain the system information when a triggering event occurs.

In some embodiments, the cloud server sets a period of the obtaining frequency. For example, the power consumption data of the compressor of the intelligent refrigerator is obtained each hour. For different system information, the cloud server may set different periods. For important system information, a relatively short period may be set. For specific period data, this is not limited in the present invention.

In some embodiment, if the obtaining frequency is an interruption-type obtaining frequency, the cloud server may set a triggering event of obtaining the system information. For example, when a user opens and closes the refrigerator door, the built-in camera captures photos of the interior of the refrigerator to obtain internal food data. In this embodiment, the opening and closing the refrigerator door is the triggering event. In a specific implementation, if the refrigerator door is not opened or closed, the internal storage of the intelligent refrigerator does not change. Therefore, for this system information, the interruption-type obtaining frequency is used to reduce system power consumption during the data obtaining process.

In some embodiments, the obtaining frequency of the system information is changeable. That is, the cloud server may set the type of the obtaining frequency according to actual needs and may set the period of the polling-type obtaining frequency to improve the flexibility of the system.

In S13, the system information is stored.

In some embodiments, after the system information of the household appliance is obtained, the system information is stored in a corresponding storage area, for example, in a read-only memory (ROM) inside the intelligent refrigerator.

In S14, the system information is preprocessed.

In some embodiment, the performing preprocessing on the system information includes: performing data format conversion processing on the stored system information. In S13, the system information stored in the household appliance is in a log file format, and cannot be directly uploaded to the cloud server. Before the system information is uploaded, the stored system information is read regularly, and the system information is converted into a format suitable for transmission according to an interface predetermined by the intelligent refrigerator and the cloud server.

In some embodiments, the converted data format may be a data format required by the cloud and transferred by a javascript object notation (JSON) message or may be a data format required by a hyper text transfer protocol over secure socket layer (HTTPS). In specific implementation, the converted data format is determined by an actually used protocol.

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 the cloud server according to the second monitoring information. Specifically, the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information and/or to indicate the uploading frequency. That is, the second monitoring information may only instruct the intelligent refrigerator to upload the system information or some of the system information or may only indicate the uploading frequency of the system information, or instruct the household appliance which system information to upload and the uploading frequency thereof.

In some embodiments, the intelligent refrigerator may determine to upload the system information or some of the system information according to the second monitoring information. Specifically, the cloud server can instruct the intelligent refrigerator to upload only one piece of the system information by using the second monitoring information, and may instruct the intelligent refrigerator to upload several pieces of the system information or even all of the system information.

In some embodiments, the uploading frequency includes a polling-type uploading frequency, used to instruct the household appliance to upload the period of the system information. For example, the obtained internal food data is uploaded to the cloud server every 24 hours.

In some embodiments, the cloud server may set different uploading frequencies for different pieces of system information. For system information with high timeliness requirements, such as the system abnormal state information, a higher uploading frequency may be set, so that the maintenance personnel can find the corresponding failure cause in time when the intelligent refrigerator fails.

The intelligent refrigerator does not need to upload the system information to the cloud server immediately after obtaining the system information. In an embodiment, the subsequent data analysis and big data processing do not require the intelligent refrigerator to upload the system information in real time. Frequently uploading the system information may increase system power consumption. In some embodiments, the intelligent refrigerator uploading the preprocessed system information to the cloud server includes: transmitting the preprocessed system information to a router in a wireless communication manner; and uploading the preprocessed system information to the cloud server through the router.

In some embodiments, the wireless communication manner may be wireless fidelity (WiFi).

Referring to FIG. 2, FIG, 2 is a schematic structural diagram of a household appliance data management apparatus 20 according to an embodiment of the present invention.

The household appliance data management apparatus 20 includes: a system control module 21 , an obtaining 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 receive configuration information sent by a cloud server, and to control the obtaining module 22, the storage module 23, the preprocessing module 24, and the reporting module 25, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance.

The obtaining module 22 is configured to obtain the system information of the household appliance according to the configuration information. The obtaining module may be a sensor disposed in each function unit.

The storage module 23 is configured to store the system information obtained by the obtaining module 22.

The preprocessing module 24 is configured to perform preprocessing on 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: a first control submodule 211 , configured to receive first monitoring information from the cloud server, where the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency.

In some embodiments, the obtaining frequency includes a polling-type obtaining frequency, used to instruct the household appliance to obtain a period of the system information.

In some embodiments, the obtaining frequency includes an interruption-type obtaining frequency, used to instruct the household appliance to obtain the system information when a triggering event occurs.

In some embodiments, the obtaining frequency is changeable.

In some embodiments, the system control module 21 includes: a second control submodule 212, configured to receive second monitoring information from the cloud server, where the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency.

In some embodiments, the uploading frequency includes a polling-type uploading frequency, used to instruct the household appliance to upload the system information periodically according to a predefined uploading period length.

In some embodiments, the preprocessing module 24 performing preprocessing on the system information includes: the preprocessing module 24 performing data format conversion processing on the system information.

In some embodiments, the system information includes: application usage information, user usage habit information, system power consumption information, system abnormal state information or any combination thereof. For more specific description of the household appliance data management apparatus 20, reference may be made to related description of the foregoing household appliance data management method. Details are not described herein again.

Referring to FIG. 3, the embodiments of the present invention further provide a household appliance 30. The household appliance includes a function module (31-3N) and the household appliance data management apparatus 20. A quantity of the function modules (31-3N) is at least one. In some embodiments, the household appliance data management apparatus 20 is suitable for sending a control instruction to the function module (31-3N) to control the function module (31-3N) of the household appliance 30 and to obtain system information of the function module (31-3N).

Referring to FIG. 2 and FIG. 3, the household appliance data management apparatus 20 includes: a system control module 21 , an obtaining 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 receive configuration information sent by a cloud server, and to control the obtaining module 22, the storage module 23, the preprocessing module 24, and the reporting module 25, where the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance. The obtaining module 22 is configured to obtain the system information of the household appliance according to the configuration information. The storage module 23 is configured to store the system information obtained by the obtaining module 22. The preprocessing module 24 is configured to perform preprocessing on 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 a more specific description of the household appliance data 30, reference may be made to the related description of the foregoing household appliance data management method and the household appliance data management apparatus 20. Details are not described herein again.

A person of ordinary skill in the art may understand that all or some of the steps of the methods in the embodiments may be implemented by a program instructing relevant hardware. The program may be stored in a computer readable storage medium. The storage medium may include a ROM, a RAM, a magnetic disk, an optical disc, or the like.

The description of the embodiments is to be understood in an illustrative, rather than a restrictive sense. A person skilled in the art can make various variations or modifications to the disclosed embodiments without departing from the scope of the present invention as defined by the appended claims.

Claims

CLAIMS What is claimed is:

1. A household appliance data management method, comprising:

receiving at a household appliance configuration information sent by a cloud server, wherein the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance;

obtaining the system information of the household appliance according to the configuration information;

preprocessing the system information; and

uploading the preprocessed system information to the cloud server according to the configuration information.

2. The household appliance data management method according to claim 1 , characterized in that the receiving of configuration information sent by a cloud server comprises: receiving first monitoring information from the cloud server, wherein the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency.

3. The household appliance data management method according to claim 2, characterized in that the obtaining frequency comprises a polling-type obtaining frequency, used to instruct the household appliance to obtain the system information periodically according to a predefined obtaining period length.

4. The household appliance data management method according to claim 2, characterized in that the obtaining frequency comprises an interruption-type obtaining frequency, used to instruct the household appliance to obtain the system information when a triggering event occurs.

5. The household appliance data management method according to any of claims 2 to 4, characterized in that the obtaining frequency is changeable.

6. The household appliance data management method according to one of the preceding claims, characterized in that after the system information of the household appliance is obtained, the method further includes storing the system information.

7. The household appliance data management method according to one of the preceding claims, characterized in that the receiving configuration information sent by a cloud server comprises: receiving second monitoring information from the cloud server, wherein the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency.

8. The household appliance data management method according to claim 7, characterized in that the uploading frequency comprises a polling-type uploading frequency, used to instruct the household appliance to upload the system information periodically according to a predefined uploading period length.

9. The household appliance data management method according to one of the preceding claims, characterized in that the preprocessing of the system information comprises: performing data format conversion processing on the stored system information.

10. The household appliance data management method according to one of the preceding claims, characterized in that the system information comprises: application usage information, user usage habit information, system power consumption information, system abnormal state information or any combination thereof.

1 1. A household appliance data management apparatus (20), comprising:

a system control module (21 ), configured to receive configuration information sent by a cloud server, and to control an obtaining module (22), a preprocessing module (24) and a reporting module (25), wherein the configuration information is used to instruct the household appliance to obtain and report system information of the household appliance;

the obtaining module (22), configured to obtain the system information of the household appliance according to the configuration information;

the preprocessing module (24), configured to preprocess the system information; and

the reporting module (25), configured to upload the preprocessed system information to the cloud server according to the configuration information.

12. The household appliance data management apparatus (20) according to claim 1 1 , wherein the system control module (21 ) comprises: a first control submodule (211 ), configured to receive first monitoring information from the cloud server, wherein the first monitoring information is used to instruct the household appliance to obtain the system information or some of the system information and/or to indicate an obtaining frequency.

13. The household appliance data management apparatus (20) according to claim 11 or 12, characterized in that the system control module (21 ) comprises: a second control submodule (212), configured to receive second monitoring information from the cloud server, wherein the second monitoring information is used to instruct the household appliance to upload the system information or some of the system information to the cloud server and/or to indicate an uploading frequency.

14. The household appliance data management apparatus (20) according to one of the claims 11 to 13, characterized in that the preprocessing module (24) preprocessing the system information comprises: the preprocessing module performing data format conversion processing on the system information.

15. A household appliance (30), comprising:

a function module (31-3N),

characterized by further comprising a household appliance data management apparatus (20) according to one of the claims 1 1 to 14.