WO2017036226A1

WO2017036226A1 - Data processing method and terminal

Info

Publication number: WO2017036226A1
Application number: PCT/CN2016/085728
Authority: WO
Inventors: 刘丽萍
Original assignee: 中兴通讯股份有限公司
Priority date: 2015-08-31
Filing date: 2016-06-14
Publication date: 2017-03-09
Also published as: CN106487994A

Abstract

Disclosed are a data processing method and a terminal. The method comprises: collecting and storing an operation event of a user during a designated time period and triggering time information about the operation event; making a judgement according to the stored data, and if the number of operation events generated during a fixed time period everyday exceeds a designated number, determining the time point when the operation event is generated according to the stored data; and automatically accomplishing the operation event or prompting whether to process the operation event at the time point.

Description

Data processing method and terminal

Technical field

This document relates to, but is not limited to, the field of communications, and in particular to a method and terminal for data processing.

Background technique

In daily life, everyone has their own habits, such as getting up and washing their teeth every morning, watching news, eating breakfast, etc., and when mobile phones, smart terminals, and intelligent systems are more and more Use, users will also develop their own habits during use. Similar to living habits, when using smart terminals such as mobile phones and smart systems, it is a habit to do fixed things at a fixed time.

For example, on the mobile phone/smart terminal, for example, during the peak hours of work every day from Monday to Friday, the user sets the mobile phone to an outdoor mode, ensuring that the ringing tone or strong vibration is heard in a noisy bus, subway, etc. environment. Don't miss the call; for example, when you arrive at the workplace, the user sets the phone to normal mode or indoor mode, and the phone ring tone is turned down, so as not to disturb other people's office in a quiet office, but not because of the complete setting. Missing an incoming call for no sound; for example, during a meeting, the user sets the phone mode to a vibrating or silent conference mode to ensure that the meeting is in normal operation without interruption; for example, at some point before going to bed at night, getting up in the morning At some point, the phone will be set to flight mode or the airplane mode will be turned off.

At present, in the related art, the timed on/off flight mode can be manually set by the user, that is, the flight mode is set to be activated at a certain time every day, and the flight mode is set at a certain time every day; but the user is not seen to pass the habit according to the collection. Data to automate the setup of the technology and architecture.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

The embodiment of the invention provides a data processing method and a terminal, which can implement the learning according to the user. Customize the automatic settings to improve the user experience.

The embodiments of the present invention adopt the following technical solutions.

A method of data processing, comprising:

Collecting and storing a first operational event of the user within a specified time period and time information for generating the first operational event;

Determining, according to the stored data, if the number of times the first operation event occurs in the fixed time period reaches or exceeds the specified number of times, determining a time point at which the first operation event is generated according to the stored data;

The first operational event is automatically completed or prompted to process the first operational event at the point in time.

Optionally, the method further includes:

Storing configuration information including the first operational event and the determined point in time at which the first operational event was generated.

Optionally, the method further includes:

Synchronize the configuration information to the cloud center.

Optionally, the method further includes:

Downloading the configuration information from the cloud center, and automatically completing the first operation event or prompting whether to process the first operation event according to the configuration information.

Optionally, the determining, according to the stored data, a time point of generating the first operation event includes:

In the stored time information of the plurality of pieces of data, the time point at which the first operation event is generated is determined according to the highest time information; wherein the piece of data includes time information that triggers the first operation event.

A terminal comprising:

a collecting module, configured to collect and store a first operation event of the user within a specified time period and time information for triggering the first operation event;

The analyzing module is configured to determine, according to the stored data, if the number of times the first operation event occurs in the fixed time period reaches or exceeds the specified number of times, determining a time point at which the first operation event is generated according to the stored data;

The processing module is configured to automatically complete the first operational event or prompt whether to process the first operational event at the point in time.

Optionally, the terminal further includes:

And a storage module configured to store configuration information including the first operational event and the determined point in time at which the first operational event is generated.

Optionally, the terminal further includes:

A synchronization module configured to synchronize the configuration information to a cloud center.

Optionally, the processing module is further configured to download the configuration information from the cloud center, and automatically complete the first operation event or prompt whether to process the first operation event according to the configuration information.

Optionally, the analyzing module determines, according to the stored data, a time point for generating the first operation event, including:

The analyzing module determines, according to the time information of the plurality of pieces of data, a time point at which the first operation event is generated according to the highest time information; wherein, the piece of the data includes triggering the first operation event Time information.

A computer readable storage medium storing computer executable instructions for performing the above method.

The embodiment of the invention provides a data processing method and a terminal, which can automatically set according to the user's habits and improve the user experience.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

BRIEF abstract

FIG. 1 is a schematic diagram of a terminal according to an embodiment of the present invention; FIG.

2 is a schematic diagram of an alternative of a terminal according to an embodiment of the present invention;

FIG. 3 is a flowchart of a method for data processing according to an embodiment of the present invention.

Embodiments of the invention

It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other.

FIG. 1 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in FIG. 1 , the terminal in this embodiment includes:

The collecting module 11 is configured to collect and store the first operation event of the user in the specified time period and the time information of generating the first operation event;

The analyzing module 12 is configured to determine according to the stored data (ie, the first operation event of the user within a specified time period and the time information of triggering the first operation event), if the first operation event occurs in a fixed time period The number of times reaches or exceeds the specified number of times, and the time point at which the first operation event is generated is determined according to the stored data;

The processing module 13 is configured to automatically complete the first operation event or prompt whether to process the first operation event at the time point.

For example, after a user purchases a new mobile phone, there is a system in the mobile phone that automatically collects the user's usage habits, such as what mood mode is set at some time, when the flight mode is turned on/off, etc., then after a period of time. After automatic recording and collection, you can use this data to analyze the user's usage habits, and automatically help the user to complete these settings and actions, which can avoid the embarrassment caused by the user sometimes forgetting the settings, and can also make life change. More convenient.

In an optional embodiment, as shown in FIG. 2, the terminal further includes:

The storage module 14 is configured to store configuration information including the first operational event and the determined point in time at which the first operational event is generated.

In an optional embodiment, as shown in FIG. 2, the terminal may further include:

The synchronization module 15 is arranged to synchronize the configuration information to the cloud center.

In an optional embodiment, the processing module is further configured to download the configuration information from the cloud center, automatically complete the first operation event or prompt whether to process the first at the time point according to the configuration information. Operational event.

In an optional embodiment, the analyzing module determines, according to the stored data, a time point of generating the first operation event, including:

FIG. 3 is a flowchart of a method for data processing according to an embodiment of the present invention. As shown in FIG. 3, the method in this embodiment includes steps S110-S130:

Step S110: Collect and store a first operation event of the user in a specified time period and time information of generating the first operation event;

For example, automatically recording user habits, which settings or actions (ie, the first operational event), each setting or action generated time point (as the time information), such as during business day work hours, the user will scenario The mode is set to indoor mode;

The time information, settings, or actions recorded each time are stored as a piece of data in the database. For example, in the above example, the stored action is that the user sets the profile to the indoor mode, and the time point is 8:05 in the morning, which is stored as a piece of data in the database.

Step S120: Perform a determination according to the stored data, if the number of times each first operation event occurs in a fixed period of time reaches or exceeds a specified number of times, determining a time point at which the first operation event is generated according to the stored data;

For example, in 100 pieces of data, the time information of 51 pieces of data is the first time period or the first time point, and the first time period or the first time point has the highest proportion in the 100 pieces of data, which is 51%; The first time point is used as a time point for generating the first operation event, or an event point in the first time period may be used as a time point for generating the first operation event.

The optional method analyzes the big data in the stored data to obtain a time point at which the first operation event is generated; wherein the big data refers to having the same time information (the same time point or time period), and The largest number of pieces of data.

For example, within one phase time (ie, the specified time period) (the time span cannot be too large, if the span is too large, there is no meaning of big data), when the same setting or action (ie, the first operational event) The storage data reaches a certain number, and the number of times the setting or action occurs in a fixed period of time (such as between 7:00 and 8:00 on weekdays) exceeds the specified number of times, for example, 100 or 200 times (this number is It can be set when the smart terminal or the intelligent system is shipped from the factory, and the analysis of the setting or action is started to determine the time point at which the operation event is generated by analyzing the big data in the stored data.

For the data that sets the scene mode to the indoor mode, 100 data is generated in half a year, and 70 of them are set to the indoor mode between 8:05 and 8:10 on weekdays. The 70 data is big data in the 100 data.

Step S130, automatically completing the first operation event or prompting whether to process the first operation event at the time point.

For example, according to the time point of big data analysis, the user is automatically replaced in the subsequent use to complete the setting, of course, the user can also be asked whether it is automatically set. For example, the system will set the phone profile to indoor mode at 8:05 every weekday.

The above steps S110 to S130 may be, but are not limited to, being executed by the terminal.

In this embodiment, the first operation event may include multiple settings or actions. For example, adjusting the mobile phone to the flight mode is a first operation event, and setting the mobile phone to mute is another operation event; the above steps S110-S130 are Performed separately for each first operational event. For example, the time information for adjusting the mobile phone to the flight mode is recorded as the first data, and the second time information for setting the mobile phone to be mute is recorded as the second data; in step S120, the mobile phone is adjusted according to the first data. At the time point of the whole flight mode, the time point of "set the mobile phone to be mute" is determined according to the second data; and so on.

The core of the embodiment of the present invention is that when a user uses a smart terminal (for example, a mobile phone or a tablet computer) or uses an intelligent system (for example, a smart home system), the user collects the user's usage habit through an internal information collecting module, and these The data is stored in a database, and after being collected for a period of time, the stored data is analyzed, and then certain settings or actions are automatically completed at a specific time based on the data.

Optionally, the method further includes:

Synchronize the configuration information to the cloud center.

Optionally, the method further includes:

In this alternative, the data and the set values that have been in effect can be synchronized to the cloud center as configuration information, and then when the user replaces the smart terminal or the device in the intelligent system (for example, a TV, a light, etc. in a smart home system), these The configuration information can be synchronized from the cloud center and taken effect directly on the replaced device.

The embodiment of the invention further provides a computer readable storage medium storing computer executable instructions for performing the above method.

The embodiments of the present invention are described below by way of examples.

In the first embodiment, this embodiment introduces a situation in which the system collects user habitual settings, and each user generates a fixed usage habit when using a mobile phone or an intelligent system.

In this example, the smart home system is taken as an example. The first thing a user gets up in the morning on weekdays is Turn on the TV, listen to the morning news, and perform activities such as washing, eating breakfast, etc. The action of turning on the TV every day occurs at 7:00-7:10 in the morning, then the system turns on the TV every time the user (ie, the first operation) Event) record the time when this action occurred (this time as the time information of "turning on the TV"), stored as a data sample in the database; when the user goes out to work, the user will turn off the TV, then the system is every time the user When the television (i.e., the first operational event) is turned off, the time at which the action occurred (this time is taken as the "time information for turning off the TV") is stored as a data sample in the database.

In this example, the two actions are recorded and stored separately, for example:

Article 1 data: Turn on the TV May 11, 2015 7:00

Article 2: Turn on the TV May 12, 2015 7:01

......

Article N data: Turn on the TV September 10, 2015 7:05

Article 1 data: Turn off the TV: May 11, 2015 7:30

Article 2: Turn off the TV: May 12, 2015 7:32

......

Article N data: Turn off the TV: September 10, 2015 7:40

The data samples of the two actions were recorded separately for 122 days, except for the absence of records on Saturday and Sunday for 34 days, and a total of 88 data samples were recorded.

Embodiment 2 This embodiment introduces a method for analyzing collected data.

For example, the two action data collected by the smart home system in this embodiment is an example. After collecting 88 data samples, the system starts analysis.

For the action of turning on the TV, Monday, May 11, 2015, the operation of turning on the TV was performed at 7:00, and on Tuesday, May 12, 2015, the action of turning on the TV was performed at 7:01 until 2015. On May 16th of the year, Saturday, there was no action to turn on the TV, and so on.

After the analysis, the action to turn on the TV is performed between 7:00 and 7:10 on weekdays, and the number of executions is the most from 7:00-7:10 (61 out of 88) Time point, It is 7:05.

For the action of turning off the TV, Monday, May 11, 2015, the TV was turned off at 7:30, Tuesday, May 12, 2015, and the TV was turned off at 7:32 until 2015. On May 16th of the year, there was no action to turn off the TV, etc.

After the analysis, the action of turning off the TV is performed between 7:30-7:40 on the working day, and the number of executions is the most from 7:30-7:40 (69 out of 88) The time is 7:35.

Then the last system setting, the time to turn on the TV is 7:05 in the morning of the working day; the time to turn off the TV is 7:35 in the morning of the working day.

Embodiment 3: The user selects whether to perform automatic setting according to the system setting point

For example, when the system collects data and analyzes the setting execution point, it can prompt whether the system completes the automatic setting in the management interface of the smart home system. For example, “the system has already set your workday according to your habits. 7:05/7:35 in the morning to turn on/off the TV, is it executed?” When the user selects Yes, the system settings take effect and will contain the first operational event (such as turning on the TV or turning off the TV) and the time (such as the working day) The configuration information of 7:05 or 7:35 in the morning is synchronized to the cloud center. Even if the user changes the TV, it can be executed according to the configuration information when using the new TV; and when the user selects No, it does not take effect. Users can also turn off the settings when they don't want the system to automatically set.

Embodiment 4 A method for data processing, comprising:

Collecting and storing a first operation event of the user within a specified time period and time information for triggering the first operation event;

Analyzing, by the stored data, if the first operation event generated within a fixed period of time exceeds a specified number of times per day, analyzing a time point at which the first operation event is generated according to the big data;

Alternatives to this embodiment can be found in the foregoing.

Embodiment 5: A terminal, including:

a collecting module, configured to collect a first operation event of the user within a specified time period and time information for triggering the first operation event;

a storage module, configured to store data collected by the collection module;

The analyzing module is configured to analyze the stored data, and if the first operation event generated within a fixed period of time exceeds the specified number of times per day, analyze the time point at which the first operation event is generated according to the big data;

Alternatives to this embodiment can be found in the foregoing.

One of ordinary skill in the art will appreciate that all or a portion of the steps described above can be accomplished by a program that instructs the associated hardware, such as a read-only memory, a magnetic or optical disk, and the like. Alternatively, all or part of the steps of the above embodiments may also be implemented using one or more integrated circuits. Correspondingly, the modules/units in the foregoing embodiments may be implemented in the form of hardware or in the form of software functional modules. Embodiments of the invention are not limited to any specific form of combination of hardware and software.

Industrial applicability

Claims

A method of data processing, comprising:

Collecting and storing a first operational event of the user within a specified time period and time information for generating the first operational event;

Determining, according to the stored data, if the number of times the first operation event occurs in the fixed time period reaches or exceeds the specified number of times, determining a time point at which the first operation event is generated according to the stored data;

The first operational event is automatically completed or prompted to process the first operational event at the point in time.
The method of claim 1 further comprising:

Storing configuration information including the first operational event and the determined point in time at which the first operational event was generated.
The method of claim 2 further comprising:

Synchronize the configuration information to the cloud center.
The method of claim 3 further comprising:

Downloading the configuration information from the cloud center, and automatically completing the first operation event or prompting whether to process the first operation event according to the configuration information.
The method of claim 1 wherein said determining a time point at which said first operational event is generated based on said stored data comprises:

In the stored time information of the plurality of pieces of data, the time point at which the first operation event is generated is determined according to the highest time information; wherein the piece of data includes time information that triggers the first operation event.
A terminal comprising:

a collecting module, configured to collect and store a first operation event of the user within a specified time period and time information for triggering the first operation event;

The analyzing module is configured to determine according to the stored data, and if the number of times the first operation event occurs in the fixed time period reaches or exceeds the specified number of times, determining, according to the stored data, generating the The point in time of the first operational event;

The processing module is configured to automatically complete the first operational event or prompt whether to process the first operational event at the point in time.
The terminal of claim 6, further comprising:

And a storage module configured to store configuration information including the first operational event and the determined point in time at which the first operational event is generated.
The terminal of claim 7, further comprising:

A synchronization module configured to synchronize the configuration information to a cloud center.
The terminal of claim 8 wherein:

The processing module is further configured to download the configuration information from the cloud center, and automatically complete the first operation event or prompt whether to process the first operation event according to the configuration information.
The terminal according to claim 6, wherein the analyzing module determines, according to the stored data, a time point at which the generating the first operation event is:

The analyzing module determines, according to the time information of the plurality of pieces of data, a time point at which the first operation event is generated according to the highest time information; wherein, the piece of the data includes triggering the first operation event Time information.