CN114164604A - Data pushing method and device, electronic equipment and storage medium - Google Patents
Data pushing method and device, electronic equipment and storage medium Download PDFInfo
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- CN114164604A CN114164604A CN202010956432.5A CN202010956432A CN114164604A CN 114164604 A CN114164604 A CN 114164604A CN 202010956432 A CN202010956432 A CN 202010956432A CN 114164604 A CN114164604 A CN 114164604A
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
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Abstract
The application provides a data pushing method, a data pushing device, electronic equipment and a storage medium. According to the data pushing method, firstly, the user type of the target user is determined according to the clothes washing data of the target user and the preset user type mapping relation, wherein the clothes washing data is used for recording the clothes washing habit of the target user. And then determining a pushing time period corresponding to the target user according to the user type so as to push a laundry washing report to the target user within the pushing time period. Accordingly, a push time period is determined based on the laundry data, and the laundry report is pushed to the target user within the push time period, so that the target user can receive the laundry report within a time suitable for the target user to view the laundry report. The delivery rate and the delivery effect of the clothes washing report are effectively improved, so that the intelligent washing machine is humanized, and the use experience of a user is improved.
Description
Technical Field
The application belongs to the technical field of information pushing, and particularly relates to a data pushing method and device, an electronic device and a storage medium.
Background
Nowadays, with the rapid development of the internet of things, most of the user families use intelligent washing machines. For some washing machines with higher intelligent degree, after the washing machine is used up, the user can also receive a clothes washing report intelligently pushed by the washing machine so as to know the clothes washing condition.
Then, after the laundry is generally washed, the laundry report is pushed to the user in a regular manner, and whether the user is currently suitable for receiving and viewing the report is not considered, so that the delivery rate and the delivery effect of the report are poor, the user is lack of humanization, and the user experience is reduced.
Disclosure of Invention
The application provides a data pushing method, a data pushing device, electronic equipment and a storage medium, and aims to solve the technical problems that the delivery rate and the delivery effect of a report are poor, humanization is lacked, and the user experience is low due to the fact that user parameters are not considered when an existing intelligent washing machine pushes a clothes washing report to a user.
In a first aspect, the present application provides a data pushing method, including:
determining a user type corresponding to a target user according to clothes washing data of the target user and a preset user type mapping relation, wherein the clothes washing data is used for recording clothes washing habits of the target user;
determining a pushing time period corresponding to the target user according to the user type;
pushing a laundry report to the target user within the push time period.
In one possible design, the preset user type mapping relationship includes: a mapping relationship between the laundry washing data and a user age attribute, the user type being divided according to the user age attribute; and/or the presence of a gas in the gas,
the preset user type mapping relationship comprises: a mapping relationship between the laundry washing data and user professional attributes, the user types being divided according to the user professional attributes.
In one possible design, the determining, according to the user type, a push time period corresponding to the target user includes:
and determining the pushing time period according to the user type and corresponding busy-idle time data, wherein the busy-idle time data comprises the behavior characteristics of the target user in each time period, and the pushing time period is a time period in which the behavior characteristics in the busy-idle time data meet preset idle conditions.
In one possible design, before the determining the user type corresponding to the target user according to the laundry data of the target user and the preset user type mapping relationship, the method further includes:
acquiring putting time of putting clothes in a target washing machine, wherein the clothes washing data is used for recording the putting time; alternatively, the first and second electrodes may be,
acquiring washing time for washing laundry in a target washing machine, wherein the laundry washing data is used for recording the washing time.
In one possible design, before pushing a laundry report to the target user within the pushing time period, the method further includes:
acquiring clothes washing parameters within a preset time length, wherein the clothes washing parameters comprise: at least one of a laundry washing mode, a laundry washing time period, a laundry material, a detergent type, and a detergent amount;
and generating the clothes washing report according to the clothes washing parameters, wherein the clothes washing report is used for recording the clothes washing result in the preset time length.
In one possible design, after the generating the laundry report according to the laundry parameter, the method further includes:
generating a clothes maintenance report according to the clothes washing report, wherein the clothes maintenance report is used for recording clothes maintenance opinions;
pushing the laundry maintenance report to the target user within the push time period.
In one possible design, after pushing the clothing maintenance report to the target user within the pushing time period, the method further includes:
acquiring a report viewing request, and displaying the clothes washing report and/or the clothes maintenance report on the mobile terminal of the target user according to the report viewing request.
In a second aspect, the present application provides a data pushing apparatus, including:
the first processing module is used for determining a user type corresponding to a target user according to clothes washing data of the target user and a preset user type mapping relation, wherein the clothes washing data is used for recording clothes washing habits of the target user;
the second processing module is used for determining a pushing time period corresponding to the target user according to the user type;
a pushing module for pushing a laundry report to the target user within the pushing time period.
In one possible design, the preset user type mapping relationship includes: a mapping relationship between the laundry washing data and a user age attribute, the user type being divided according to the user age attribute; and/or the presence of a gas in the gas,
the preset user type mapping relationship comprises: a mapping relationship between the laundry washing data and user professional attributes, the user types being divided according to the user professional attributes.
In one possible design, the second processing module is specifically configured to:
and determining the pushing time period according to the user type and corresponding busy-idle time data, wherein the busy-idle time data comprises the behavior characteristics of the target user in each time period, and the pushing time period is a time period in which the behavior characteristics in the busy-idle time data meet preset idle conditions.
In one possible design, the data pushing apparatus further includes: a first acquisition module; the first obtaining module is configured to:
acquiring putting time of putting clothes in a target washing machine, wherein the clothes washing data is used for recording the putting time; alternatively, the first and second electrodes may be,
acquiring washing time for washing laundry in a target washing machine, wherein the laundry washing data is used for recording the washing time.
In one possible design, the data pushing apparatus further includes:
a second obtaining module, configured to obtain laundry washing parameters within a preset time period, where the laundry washing parameters include: at least one of a laundry washing mode, a laundry washing time period, a laundry material, a detergent type, and a detergent amount;
a generating module, configured to generate the laundry report according to the laundry parameter, where the laundry report is used to record a laundry result within the preset time period.
In a possible design, the generating module is further configured to generate a laundry maintenance report according to the laundry washing report, where the laundry maintenance report is used to record a laundry maintenance opinion;
the pushing module is further used for pushing the clothes maintenance report to the target user within the pushing time period.
In one possible design, the data push module apparatus further includes: a third obtaining module;
the third obtaining module is used for obtaining a report viewing request so as to display the clothes washing report and/or the clothes maintenance report on the mobile terminal of the target user according to the report viewing request.
In a third aspect, the present application provides an electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the data push method of the first aspect and any one of the alternatives of the first aspect.
In a fourth aspect, the present application provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the data push method of any one of the first aspect and the alternatives of the first aspect.
According to the data pushing method, the data pushing device, the electronic equipment and the storage medium, firstly, the user type corresponding to the target user is determined according to the clothes washing data of the target user and the preset user type mapping relation, wherein the clothes washing data is used for recording the clothes washing habit of the target user, then, the pushing time period corresponding to the target user is determined according to the user type, and a clothes washing report is pushed to the target user in the pushing time period. Thereby determining the user type based on the laundry data of the user, and further determining a corresponding push time period for pushing the laundry report to the target user within the push time period. The pushing time period is determined by considering the relevant parameters of the clothes washing data of the user, so that the target user can receive and view the clothes washing report in a proper time, the delivery rate and the delivery effect of the clothes washing report are improved, the intelligent washing machine is more humanized, and the use experience of the user is improved.
Drawings
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a data pushing method according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a process for generating a laundry report according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another data pushing method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a data pushing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of another data pushing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of another data pushing apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For the existing washing machine with a higher intelligent degree, after the user finishes using the washing machine, the user can also receive a clothes washing report intelligently pushed by the washing machine so as to know the clothes washing condition. In general, after the laundry is washed, the laundry report is pushed to the user in a regular manner, wherein whether the user is currently suitable for receiving and viewing the report is not considered, so that the delivery rate and the delivery effect of the report are poor, the user is lack of humanization, and the user experience is reduced.
In view of the foregoing problems in the prior art, embodiments of the present application provide a data pushing method and apparatus, an electronic device, and a storage medium. According to the data pushing method, when the clothes washing report is pushed to the user, the user type of the target user is determined based on the clothes washing habit of the target user, then the pushing time period corresponding to the target user is determined according to the user type, and the clothes washing report is pushed to the corresponding target user in the pushing time period, so that the target user can receive and check the clothes washing report in the time period suitable for the target user, the delivery rate and the delivery effect of the clothes washing report are effectively improved, the intelligent washing machine is humanized, and the use experience of the user is further improved.
An exemplary application scenario of the embodiments of the present application is described below.
The data pushing method provided by the embodiment of the application can be implemented by the data pushing device provided by the embodiment of the application. The electronic device corresponding to the data pushing apparatus may be a part of a server or a server cluster, and the embodiment of the present application is not limited thereto. Fig. 1 is a schematic view of an application scenario provided by an embodiment of the present application, and as shown in fig. 1, a network is used for providing a medium for a communication link between a server 10, a mobile terminal 11, and a washing machine 12, and the network may include various connection types, such as a wired connection, a wireless communication link, or an optical fiber cable. In the data pushing method provided by the embodiment of the application, the server 10 is wirelessly connected with the mobile terminal 11 and the washing machine 12, and the mobile terminal 11 and the washing machine 12 are wirelessly and/or bluetooth connected. Due to the existence of the network, data interaction can be performed among the server 10, the mobile terminal 11 and the washing machine 12 to realize corresponding control operation. For example, the mobile terminal 11 may be configured with a target control, so as to implement corresponding control on the washing machine 12 via the server 10 according to the relevant data by running the target control. Meanwhile, the server 10 may know all relevant data and the like when the washing machine 12 performs laundry washing. In this exemplary application scenario, the data pushing device provided in the embodiment of the present application may execute the data pushing method provided in the embodiment of the present application to implement pushing of the laundry report to the target user within the pushing time period. It is to be noted that the type of the mobile terminal is not limited in the embodiments of the present application, for example, the mobile terminal may be a smart phone, a smart watch, a tablet computer, or a smart bracelet, etc. The mobile terminal 11 in fig. 1 is illustrated as a smartphone.
It should be noted that the above application scenarios are only exemplary, and the data pushing method provided in the embodiment of the present application includes, but is not limited to, the above application scenarios.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a schematic flow chart of a data pushing method provided in an embodiment of the present application, and as shown in fig. 2, the data pushing method provided in this embodiment includes:
s101: and determining the user type corresponding to the target user according to the clothes washing data of the target user and the preset user type mapping relation.
Wherein the laundry washing data is used to record the laundry washing habits of the target user.
For an intelligent washing machine, a server or a server cluster is correspondingly configured at the rear end of the intelligent washing machine. When the target user uses the washing machine to wash clothes, the corresponding server can acquire the clothes washing data for washing the clothes, and the clothes washing data is used for recording the related information such as the clothes washing habits of the target user. The laundry washing habit may be all relevant habits of the target user for performing laundry washing using the washing machine, and the embodiment of the present application is not limited thereto.
The preset user type mapping relation refers to some mapping relation capable of mapping the user type of the target user. For example, the preset user type mapping relationship may include a mapping relationship between laundry washing data and a user age attribute. The user age attributes are different, and the laundry data of the target user corresponding to different user age attributes are different. Therefore, a certain mapping relationship exists between the laundry washing data and the user age attribute, and the mapping relationship is the preset user type mapping relationship. And mapping the clothes washing data of the target user through the preset user type mapping relation, so as to determine the user type of the target user. Wherein the user types are divided according to the user age attribute. In other words, the user types of the target users determined by the preset user type mapping relationship are distinguished by the user age attribute.
On the other hand, the preset user type mapping relationship may further include a mapping relationship between laundry washing data and user professional attributes. The professional attributes of the users are different, and the clothes washing data of the target user corresponding to different professional attributes of the users are different. Therefore, a certain mapping relationship exists between the laundry washing data and the professional attribute of the user, and the mapping relationship is the preset user type mapping relationship. And mapping the clothes washing data of the target user through the preset user type mapping relation, so as to determine the user type of the target user. Wherein the user types are divided according to the professional attributes of the users. In other words, the user types of the target users determined by the preset user type mapping relationship are distinguished by the user occupation attributes.
Alternatively, the preset user type mapping relationship may also be a combination of the above two mapping relationships, that is, the preset user type mapping relationship includes a mapping relationship between laundry washing data and user age attributes, and a mapping relationship between laundry washing data and user professional attributes. The determination may be specifically performed according to specific conditions in actual conditions, and the embodiment of the present application is not limited.
In addition, the preset user type mapping relationship described in the above embodiments may also be a mapping relationship between laundry washing data and other characteristic attributes of the user. The preset user type mapping relationship in the data pushing method provided by the embodiment of the application includes, but is not limited to, the mapping relationship described above.
With the above description, the user type corresponding to the target user can be determined according to the laundry data of the target user and the preset user type mapping relationship.
S102: and determining a pushing time period corresponding to the target user according to the user type.
After the user type corresponding to the target user is determined, further, a push time period corresponding to the target user is determined according to the user type. The determined push time periods may differ from user type to user type. And determining the corresponding pushing time period suitable for the target user according to the user type.
For example, the push time period corresponding to the target user may be determined according to the user type and the corresponding busy/idle time data. The busy and idle time data comprise behavior characteristics of the target user in each time interval. In other words, the busy and idle time data includes behavior characteristics of the target user at various time periods within twenty-four hours per day. The user types are different, and the behavior characteristics of the corresponding time periods are different, so that the pushing time period corresponding to the target user can be determined according to the user types and the busy/idle time data corresponding to the user types.
Since the busy-free time data includes the behavior characteristics of the target user at each time period, the free time period and the busy time period in each day of the target user can be determined through the behavior characteristics. Therefore, the time period in which the behavior characteristics in the busy-idle time data meet the preset idle conditions can be determined as a push time period, and the time period meeting the preset idle conditions is the idle time period of the target user every day.
Therefore, the pushing time period suitable for the target user can be determined according to the user type. For example, the push period is a period in which the behavior characteristic in the busy-idle time data satisfies a preset idle condition. It should be noted that the push time period determined in the embodiment of the present application includes, but is not limited to, a time period when the behavior characteristic satisfies a preset idle condition, and may also be a time period when the behavior characteristic satisfies another preset condition, which is not limited in the embodiment of the present application.
S103: and pushing a clothes washing report to the target user within the pushing time period.
After the pushing time period corresponding to the target user is determined, pushing a clothes washing report to the target user within the pushing time period. Since the determined pushing time period is a time period suitable for the target user, for example, a time period in which the behavior characteristics of the target user meet the preset idle condition, the time period is an idle time period of the target user, and pushing the laundry report to the target user in the pushing time period can enable the target user to receive and view the laundry report in time. In addition, the laundry report is used to record the laundry result within a preset time period. It is understood that the laundry report is a laundry result feedback report generated for the convenience of the target user directly knowing the laundry condition, such as a laundry evaluation report, a laundry parameter report, and the like. The target user can timely know the detailed conditions of the clothes washing performed by the target user each time within the preset time period by viewing the clothes washing report, such as the operation, the washing mode, the drying condition and the like specifically included in the whole process of the clothes washing. It is understood that the preset time period may be set according to data such as frequency of washing clothes of the target user, for example, weekly or monthly, and the embodiment of the present application is not limited thereto.
In a possible design, before pushing the laundry washing report to the target user within the pushing time period, the steps shown in fig. 3 may be further included. Fig. 3 is a schematic flowchart of a process for generating a laundry report according to an embodiment of the present disclosure, and as shown in fig. 3, the process for generating a laundry report according to the embodiment includes:
s201: and acquiring the clothes washing parameters within the preset time.
Wherein the laundry washing parameters include: at least one of a laundry washing mode, a laundry washing time period, a laundry material, a detergent type, and a detergent amount.
S202: and generating a laundry report according to the laundry parameter.
Wherein the laundry report is used for recording the laundry result within a preset time period.
Before the laundry report is pushed to the target user within the pushing time period, the laundry report needs to be generated so as to be convenient for the target user to view. Thus, the laundry washing parameters within the preset time period are first acquired. In step S101, it is described that each time the target user uses the washing machine to wash clothes, the server corresponding to the back end may obtain the clothes washing data of the current clothes washing corresponding to the user parameter, and accordingly, the server corresponding to the back end may also obtain the clothes washing parameter when the washing machine washes clothes, and may store the clothes washing parameter in the server, so as to call the corresponding data at any time to execute the corresponding operation. For example, the laundry parameter is acquired in this step to generate a laundry report. Wherein the laundry parameter may be at least one of a laundry washing pattern, a laundry washing time period, a laundry material, a detergent type, and a detergent amount. For example, the laundry washing mode may be any mode that the washing machine has, such as a quick washing mode, a regular washing mode, a soft washing mode, and the like. The laundry washing time period is a time taken for washing the laundry each time. The material of the clothes can be the actual material of the clothes washed currently, such as chemical fiber, cotton and linen. The detergent type may be neutral, alkaline, wool specific, etc. The detergent dosage is the actual dosage of detergent used each time the laundry is washed. It should be understood that the laundry washing parameters include, but are not limited to, those listed in the embodiments of the present application, and may also be other parameters capable of reflecting the washing condition when the laundry washing is performed, and the embodiments of the present application are not limited thereto.
And generating a clothes washing report according to the obtained clothes washing parameters so as to facilitate a target user to directly know the clothes washing result within the preset time through checking the report.
In addition, it should be noted that the portion of the report of clothes washing generated within the preset time period may be determined according to the specific corresponding time length of the preset time period. For example, when the preset time period is long, such as one month, one laundry washing report may be generated according to the laundry washing parameters of the week every week in one month, and four laundry washing reports may be generated within the preset time period. Of course, the laundry result of each laundry performed by the target user in the present week is recorded in each laundry report. Therefore, the portion of the report of the laundry washing generated within the preset time period may be set according to the preset time period and/or the frequency of the target user using the washing machine, and the like, and the embodiment of the present application is not limited thereto.
According to the data pushing method provided by the embodiment of the application, before the clothes washing report is pushed to the target user within the pushing time period, the clothes washing parameters within the preset time length are further obtained, and the clothes washing report is generated according to the clothes washing parameters. Wherein the laundry washing parameter includes at least one of a laundry washing pattern, a laundry washing time period, a laundry material, a detergent type, and a detergent amount. The laundry report is used to record the laundry result within the preset time period. And further, the clothes washing condition is fed back to the target user in the form of a clothes washing report, and the target user can directly or specifically use the clothes washing result.
According to the data pushing method provided by the embodiment of the application, firstly, the user type of a target user is determined according to the clothes washing data of the target user and a preset user type mapping relation, wherein the clothes washing data is used for recording the clothes washing habit of the target user. And then determining a pushing time period corresponding to the target user according to the user type so as to push a laundry washing report to the target user within the pushing time period. And determining the user type based on the clothes washing data of the user, and further determining a corresponding pushing time period so as to push a clothes washing report to the target user within the pushing time period. The pushing time period is determined by considering the relevant parameters of the clothes washing data of the user, so that the target user can receive and view the clothes washing report in a proper time, the delivery rate and the delivery effect of the clothes washing report are improved, the intelligent washing machine is humanized, and the use experience of the user is improved.
In a possible design, before determining the user type corresponding to the target user according to the laundry data of the target user and the preset user type mapping relationship in step S101, the method further includes the steps shown in fig. 4. Fig. 4 is a schematic flow chart of another data pushing method provided in the embodiment of the present application, and as shown in fig. 4, the data pushing method provided in the embodiment includes:
s301: and acquiring the putting time of the clothes put in the target washing machine.
Wherein the laundry washing data is used to record the putting time.
Or, S302: a washing time for washing laundry in the target washing machine is acquired.
Wherein the laundry washing data is used to record the washing time.
As described in step S101 of the above embodiment, the laundry data is used to record the laundry habits of the target user. The information representing the laundry washing habit may be a putting time of the target user putting the laundry into the target washing machine, or a washing time of actually washing the laundry in the target washing machine. When the information representing the clothes washing habit is the putting time of the target user for putting clothes into the target washing machine, the clothes washing data is used for recording the putting time. When the information characterizing the laundry washing habit is the washing time for washing the laundry in the target washing machine, the laundry washing data is used to record the washing time. Therefore, the laundry washing data is obtained to determine the user type of the target user according to the laundry washing data, specifically, the obtaining of the putting time of the laundry in the target washing machine, or the obtaining of the washing time of the laundry in the target washing machine. The putting time or the washing time is used for feeding back the laundry washing habit of the target user.
According to the data pushing method provided by the embodiment of the application, before the user type corresponding to the target user is determined according to the clothes washing data of the target user and the preset user type mapping relation, the clothes washing data is obtained, specifically, the putting time of putting clothes in the target washing machine is obtained, wherein the clothes washing data is used for recording the putting time. Or, acquiring a washing time for washing the laundry in the target washing machine, wherein the laundry washing data is used for recording the washing time. Therefore, the user type of the target user is determined based on the mapping relation between the clothes washing data such as the putting time or the washing time and the preset user type, so that the data pushing method provided by the embodiment of the application has the parameters capable of representing the clothes washing habits of the target user, the intelligent washing machine is humanized, the delivery rate and the delivery effect are effectively improved, and the user experience is improved.
To further improve the user experience, in one possible design, after generating the laundry report according to the laundry parameter, the method may further include:
and generating a clothes maintenance report according to the clothes washing report.
Wherein the laundry maintenance report is used to record the laundry maintenance opinions.
And pushing a clothes maintenance report to the target user within the pushing time period.
After the generation of the laundry washing report, further, a laundry maintenance report is generated according to the laundry washing report, and the laundry maintenance report is pushed to the target user within the pushing time period, so that the target user can receive and view the laundry maintenance report within a suitable time period.
The clothes maintenance report is used for recording clothes maintenance opinions, namely, user maintenance opinions of clothes corresponding to the clothes washing report are generated according to the clothes washing report. For example, the material of the clothes may belong to the cotton and linen material, and as the clothes made of the cotton and linen material are worn or the washing time is prolonged, a certain pilling risk may exist on the surface of the clothes, in this case, some maintenance suggestions for the cotton and linen material clothes may be provided to the user, and the maintenance suggestions are pushed to the target user in the form of a clothes maintenance report, so as to remind the target user to perform corresponding maintenance on the clothes, thereby further improving the use experience of the user.
According to the data pushing method provided by the embodiment of the application, after the clothes washing report is generated according to the clothes washing parameters, the clothes maintenance report can be generated according to the clothes washing report, and the clothes maintenance report is pushed to the target user within the pushing time period, wherein the clothes maintenance report is used for recording clothes maintenance opinions. Therefore, the target user can receive and view the clothes maintenance report in a suitable time period, and correspondingly maintain the clothes according to the clothes maintenance opinions recorded in the clothes maintenance report. Effectively improve and send to the rate and send to the effect when for intelligent washing machine is more humanized, has further promoted user and has used experience.
On the basis of the above embodiment, after pushing the laundry maintenance report to the target user within the pushing time period, the target user views the laundry washing report and/or the laundry maintenance report, which includes: and acquiring a report viewing request to display a clothes washing report and/or a clothes maintenance report on the mobile terminal of the target user according to the report viewing request.
After the laundry washing report and/or the laundry maintenance report is pushed to the target user within the pushing time period, a possible viewing manner of the target user may be that the target user inputs a report viewing request through a target application program configured on the mobile terminal, and the server controls the target application program to display the laundry washing report and/or the laundry maintenance report on the mobile terminal according to the report viewing request for the target user to review. Here, it is understood that the target application is a corresponding application configured on the mobile terminal of the target user to control the target washing machine via the server.
According to the data pushing method provided by the embodiment of the application, after the clothes washing report and/or the clothes maintenance report are pushed to the target user within the pushing time period, the report viewing request of the target user is further obtained, and the clothes washing report and/or the clothes maintenance report are displayed on the mobile terminal of the target application according to the report viewing request so as to be consulted by the target user, so that the use experience of the user is improved.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 5 is a schematic structural diagram of a data pushing apparatus according to an embodiment of the present application, and as shown in fig. 5, a data pushing apparatus 400 according to the embodiment includes:
the first processing module 401 is configured to determine a user type corresponding to a target user according to laundry data of the target user and a preset user type mapping relationship.
Wherein the laundry washing data is used to record the laundry washing habits of the target user.
A second processing module 402, configured to determine, according to the user type, a push time period corresponding to the target user.
A pushing module 403, configured to push a laundry washing report to the target user within the pushing time period.
In one possible design, the presetting of the user type mapping relationship includes: a mapping relationship between the laundry washing data and the user age attribute, wherein the user types are divided according to the user age attribute; and/or the presence of a gas in the gas,
the preset user type mapping relationship comprises the following steps: a mapping relationship between the laundry washing data and user professional attributes, wherein the user types are divided according to the user professional attributes.
In one possible design, the second processing module 402 is specifically configured to:
and determining a pushing time period according to the user type and the corresponding busy-idle time data, wherein the busy-idle time data comprises the behavior characteristics of the target user in each time period, and the pushing time period is a time period in which the behavior characteristics in the busy-idle time data meet the preset idle condition.
On the basis of the embodiment shown in fig. 5, fig. 6 is a schematic structural diagram of another data pushing apparatus provided in the embodiment of the present application, and as shown in fig. 6, the data pushing apparatus 400 provided in the embodiment further includes: a first obtaining module 404.
A first obtaining module 404 configured to:
acquiring putting time of putting clothes in a target washing machine, wherein clothes washing data is used for recording the putting time; alternatively, the first and second electrodes may be,
the washing time for washing the laundry in the target washing machine is acquired, wherein the laundry washing data is used to record the washing time.
On the basis of the embodiment shown in fig. 5, fig. 7 is a schematic structural diagram of another data pushing apparatus provided in the embodiment of the present application, and as shown in fig. 7, the data pushing apparatus 400 provided in this embodiment further includes:
a second obtaining module 405, configured to obtain laundry washing parameters within a preset time period, where the laundry washing parameters include: at least one of a laundry washing mode, a laundry washing time period, a laundry material, a detergent type, and a detergent amount;
a generating module 406 for generating a laundry report according to the laundry parameter.
Wherein the laundry report is used for recording the laundry result within a preset time period.
In one possible design, the generating module 406 is further configured to generate a laundry maintenance report according to the laundry washing report, wherein the laundry maintenance report is used for recording the laundry maintenance opinions;
and a pushing module 403, configured to push a laundry maintenance report to the target user within the pushing time period.
In one possible design, the data pushing apparatus 400 further includes: and a third obtaining module.
And the third acquisition module is used for acquiring the report viewing request so as to display the clothes washing report and/or the clothes maintenance report on the mobile terminal of the target user according to the report viewing request.
It should be noted that the data pushing apparatus provided in the foregoing embodiment may be configured to execute each step of the data pushing method provided in the foregoing method embodiment, and specific implementation manners and technical effects thereof are similar to those of the foregoing method embodiment, and are not described herein again.
The device embodiments provided in the present application are merely illustrative, and the module division is only one logic function division, and there may be other division ways in actual implementation. For example, multiple modules may be combined or may be integrated into another system. The coupling of the various modules to each other may be through interfaces that are typically electrical communication interfaces, but mechanical or other forms of interfaces are not excluded. Thus, modules described as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 8, an electronic device 500 according to the embodiment includes:
at least one processor 501; and the number of the first and second groups,
a memory 502 communicatively coupled to the at least one processor 501, wherein,
the memory 502 stores instructions executable by the at least one processor 501, and the instructions are executed by the at least one processor 501, so that the at least one processor 501 can perform the steps of the data pushing method in the foregoing method embodiment, which can be specifically referred to in the related description in the foregoing method embodiment.
Alternatively, the memory 502 may be separate or integrated with the processor 501.
When the memory 502 is a device separate from the processor 501, the electronic device 400 may further include:
a bus 503 for connecting the processor 501 and the memory 502.
The present embodiment also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the computer-executable instructions are used to implement the steps of the data pushing method in the foregoing method embodiments. For example, the readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A data pushing method, comprising:
determining a user type corresponding to a target user according to clothes washing data of the target user and a preset user type mapping relation, wherein the clothes washing data is used for recording clothes washing habits of the target user;
determining a pushing time period corresponding to the target user according to the user type;
pushing a laundry report to the target user within the push time period.
2. The data pushing method according to claim 1, wherein the preset user type mapping relationship comprises: a mapping relationship between the laundry washing data and a user age attribute, the user type being divided according to the user age attribute; and/or the presence of a gas in the gas,
the preset user type mapping relationship comprises: a mapping relationship between the laundry washing data and user professional attributes, the user types being divided according to the user professional attributes.
3. The data pushing method according to claim 1, wherein the determining the pushing time period corresponding to the target user according to the user type includes:
and determining the pushing time period according to the user type and corresponding busy-idle time data, wherein the busy-idle time data comprises the behavior characteristics of the target user in each time period, and the pushing time period is a time period in which the behavior characteristics in the busy-idle time data meet preset idle conditions.
4. The data pushing method according to any one of claims 1 to 3, wherein before determining the user type corresponding to the target user according to the laundry data of the target user and a preset user type mapping relationship, the method further comprises:
acquiring putting time of putting clothes in a target washing machine, wherein the clothes washing data is used for recording the putting time; alternatively, the first and second electrodes may be,
acquiring washing time for washing laundry in a target washing machine, wherein the laundry washing data is used for recording the washing time.
5. The data pushing method according to any one of claims 1 to 3, further comprising, before pushing a laundry washing report to the target user within the pushing time period:
acquiring clothes washing parameters within a preset time length, wherein the clothes washing parameters comprise: at least one of a laundry washing mode, a laundry washing time period, a laundry material, a detergent type, and a detergent amount;
and generating the clothes washing report according to the clothes washing parameters, wherein the clothes washing report is used for recording the clothes washing result in the preset time length.
6. The data pushing method according to claim 5, further comprising, after the generating the laundry report according to the laundry parameter:
generating a clothes maintenance report according to the clothes washing report, wherein the clothes maintenance report is used for recording clothes maintenance opinions;
pushing the laundry maintenance report to the target user within the push time period.
7. The data pushing method according to claim 6, further comprising, after pushing the laundry maintenance report to the target user within the pushing time period:
acquiring a report viewing request, and displaying the clothes washing report and/or the clothes maintenance report on the mobile terminal of the target user according to the report viewing request.
8. A data push apparatus, characterized in that:
the first processing module is used for determining a user type corresponding to a target user according to clothes washing data of the target user and a preset user type mapping relation, wherein the clothes washing data is used for recording clothes washing habits of the target user;
the second processing module is used for determining a pushing time period corresponding to the target user according to the user type;
a pushing module for pushing a laundry report to the target user within the pushing time period.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the data push method of any one of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to execute the data pushing method according to any one of claims 1 to 7.
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| CN202010956432.5A CN114164604A (en) | 2020-09-11 | 2020-09-11 | Data pushing method and device, electronic equipment and storage medium |
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