Control method and system based on self-discipline use of intelligent terminal

Abstract

The invention discloses a control method and system based on self-discipline use of an intelligent terminal, and relates to the field of self-discipline management and control of mobile equipment, and the system comprises a historical data acquisition module, a preliminary analysis module and a comprehensive analysis module. The use data of the applications corresponding to the intelligent terminal are preliminarily analyzed to obtain the use data of the target user when the applications are used abnormally, personalized data are provided for subsequent self-discipline management and control, the accuracy and effectiveness during self-discipline management and control are indirectly improved, the satisfaction degree of the user is improved, and the user experience is improved. By analyzing the use data of the same type of applications in the intelligent terminal and performing self-discipline control adjustment on the same type of different applications in the intelligent terminal according to the analysis result, the personalized characteristics of self-discipline control can be further improved, and the accuracy and effectiveness during self-discipline control are remarkably improved.

Description

Technical Field

[0001] The present application relates to the field of autonomous control of mobile devices, and in particular to a control method and system based on autonomous use of smart terminals. Background Art

[0002] The background technology of self-discipline in using smart terminals mainly involves the integrated application of advanced technologies such as artificial intelligence (AI), big data, and cloud computing. These technologies not only promote the intelligent development of smart terminals, but also provide users with a more personalized, efficient and convenient experience, thus promoting the trend of users' self-discipline in using smart terminals; Self-discipline in using smart terminals is of great significance to our time management, efficiency improvement, vision protection, physical and mental health, and quality cultivation. Therefore, we should learn to use smart terminals in a self-disciplined manner to give full play to their positive effects while avoiding their possible negative effects.

[0003] Existing technologies often follow rigid regulations or time limits when conducting self-regulatory control of electronic devices, which is not conducive to providing users with more personalized services, reduces the accuracy and effectiveness of self-regulatory control results, and may bring negative impacts. Summary of the invention

[0004] The object of the present invention is to provide a control method and system based on autonomous use of intelligent terminals to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a control system based on autonomous use of intelligent terminals, comprising: Historical data acquisition module: used to acquire historical usage data of each application in the smart terminal; Preliminary analysis module: used to perform preliminary analysis on the historical usage data of each application in the smart terminal, and obtain the abnormal comparison data of each application in the smart terminal corresponding to the unit time period; Comprehensive analysis module: used to conduct comprehensive analysis on the abnormal comparison data of each application in the smart terminal in a unit time period, and obtain a reference data set for the self-discipline control of each application.

[0006] In the preferred embodiment of this scheme, the specific implementation method of the historical data acquisition module is as follows: Obtain data access rights for the target user's corresponding smart terminal; Obtain the application type of each application in the smart terminal corresponding to the target user; Obtain historical usage data of each application in the smart terminal through the data access permission of the smart terminal.

[0007] In the preferred embodiment of this scheme, the specific implementation method of the preliminary analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center, and extract the recommended number of uses, recommended usage interval duration, recommended single usage duration, and recommended total usage duration for each application in a corresponding unit time period stored in the data center; Divide the historical usage data of each application in the smart terminal according to a preset unit time period to obtain the historical usage data of each application in each unit time period; The historical usage data of each application in each unit time period includes the number of times each application is used in each unit time period and the initial time and end time corresponding to each use. The single usage duration corresponding to each use of each application in each unit time period and the usage interval duration between two adjacent uses of each application are obtained through the initial time and end time corresponding to each use of each application in each unit time period. The total usage duration of each application in each unit time period is obtained through statistics of the single usage duration corresponding to each use of each application in each unit time period. By calculating the formula , calculate the abnormal coefficient of the usage interval length of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of single usage duration of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of each application in each unit time period ,in Indicated as the number of each application, It is represented by the number of each unit time period in chronological order. , , , They are respectively expressed as the recommended number of uses per unit time period, the recommended interval between uses, the recommended single use time, and the recommended total use time for each application. It is represented by the interval between two consecutive uses of each application in each unit time period, where It is represented by the time sequence of the intervals between two consecutive uses. It is expressed as the single usage duration of each application in each unit time period. It is represented by the number of each use in chronological order. It is expressed as the number of times each application is used in each unit time period. It is expressed as the total usage time of each application in each unit time period; Compare the usage abnormality coefficient of each application in each unit time period with the preset usage abnormality coefficient threshold, select each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient, and record each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient as each abnormal comparison time period corresponding to each application; The number of times and the total usage time of each application corresponding to each abnormal comparison time period are obtained by screening, the average single usage time of each application corresponding to each abnormal comparison time period is obtained by calculating, and the number of times, the total usage time and the average single usage time of each application corresponding to each abnormal comparison time period are screened to obtain the mode set of each application corresponding to each abnormal comparison time period, wherein the mode set includes the mode of the number of times, the mode of the total usage time and the mode of the average single usage time, and the mode of the number of times, the mode of the total usage time and the mode of the average single usage time of each application corresponding to the abnormal comparison time period are respectively recorded as the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period, and the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period are recorded as the abnormal comparison data of the unit time period corresponding to each application.

[0008] In the preferred embodiment of this scheme, the specific implementation method of the comprehensive analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center to extract the standard usage times and standard total usage duration corresponding to various applications stored in the database; Classify the applications in the smart terminal according to their application types, and obtain abnormal comparison data sets corresponding to the various applications in the smart terminal, wherein the abnormal comparison data set refers to the abnormal comparison data set of the same type of application corresponding to different applications, and perform data statistics on the abnormal comparison data sets corresponding to various applications to obtain the total abnormal comparison usage times and total abnormal comparison usage duration of various applications in a unit time period; By calculating the formula , calculate and obtain the abnormal comparison total usage time correction value corresponding to each application in various applications ; By calculating the formula , calculate and obtain the abnormal comparison usage correction value corresponding to each application in various applications ,in , They are respectively represented by the total abnormal comparison usage time and the abnormal comparison usage times of each application in each type of application in the corresponding abnormal comparison time period. , They are respectively expressed as the total abnormal usage times and total abnormal usage duration of each application in the corresponding unit time period. , They are respectively represented by the standard usage times and standard total usage duration corresponding to each type of application, where It is represented by the number of each type of application; Compare the total usage time correction value by the corresponding anomalies of each application in each category The correction value of the number of times the abnormal comparison is used in each application Calculate and obtain the average single usage time correction value corresponding to the abnormal comparison of each application in each type of application; Compare the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application in each category of applications with the recommended total usage time, recommended usage frequency and recommended single usage time of each application in the corresponding unit time period. If the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are all less than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period, then the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are recorded as the reference data set for the corresponding self-discipline control of each application; If there is an abnormal comparison total usage time correction value, an abnormal comparison usage frequency correction value or an abnormal comparison average single usage time correction value that is greater than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, then the abnormal comparison total usage time correction value, the abnormal comparison usage frequency correction value or the abnormal comparison average single usage time correction value shall be modified to the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, and the values ​​of each item after modification shall be counted and recorded as the reference data set for the corresponding self-discipline control of each application.

[0009] To achieve the above object, the present invention also provides the following technical solution: a control method based on autonomous use of an intelligent terminal, comprising the following steps: Acquire historical usage data of each application in the smart terminal; Perform a preliminary analysis on the historical usage data of each application in the smart terminal to obtain the abnormal comparison data of each application in the smart terminal in the corresponding unit time period; A comprehensive analysis is performed on the abnormal comparison data of each application in the smart terminal in a unit time period to obtain a reference data set for the self-discipline control of each application.

[0010] Compared with the prior art, the present invention has the following beneficial effects: The present invention obtains the historical usage data of the smart terminal corresponding to the target user, and performs a preliminary analysis on the usage data of each application corresponding to the smart terminal, obtains the usage data of the target user in abnormal use of applications, and provides personalized data for subsequent self-regulatory control, which indirectly improves the accuracy and effectiveness of self-regulatory control and improves user satisfaction. The present invention analyzes the usage data of the same type of applications in the smart terminal, and performs self-regulatory control adjustments on different applications of the same type in the smart terminal according to the analysis results, which is beneficial to further improve the personalized characteristics of self-regulatory control and significantly improves the accuracy and effectiveness of self-regulatory control. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0012] Figure 1 This is a schematic diagram of module connection in an embodiment of the present invention; Figure 2 It is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] See also Figure 1 ,The present invention provides a control system based on autonomous use of intelligent terminals, the system includes a historical data acquisition module, a preliminary analysis module and a comprehensive analysis module; The historical data acquisition module is connected to the preliminary analysis module, and the preliminary analysis module is connected to the comprehensive analysis module.

[0015] The historical data acquisition module is used to acquire the historical usage data of each application in the smart terminal; Furthermore, the specific execution method of the historical data acquisition module is as follows: Obtain data access rights for the target user's corresponding smart terminal; Obtain the application type of each application in the smart terminal corresponding to the target user; Obtain historical usage data of each application in the smart terminal through the data access permission of the smart terminal.

[0016] The preliminary analysis module is used to perform preliminary analysis on the historical usage data of each application in the smart terminal, and obtain the abnormal comparison data of each application in the smart terminal corresponding to the unit time period; Furthermore, the specific execution method of the preliminary analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center, and extract the recommended number of uses, recommended usage interval duration, recommended single usage duration, and recommended total usage duration for each application in a corresponding unit time period stored in the data center; Divide the historical usage data of each application in the smart terminal according to a preset unit time period to obtain the historical usage data of each application in each unit time period; The historical usage data of each application in each unit time period includes the number of times each application is used in each unit time period and the initial time and end time corresponding to each use. The single usage duration corresponding to each use of each application in each unit time period and the usage interval duration between two adjacent uses of each application are obtained through the initial time and end time corresponding to each use of each application in each unit time period. The total usage duration of each application in each unit time period is obtained through statistics of the single usage duration corresponding to each use of each application in each unit time period. By calculating the formula , calculate the abnormal coefficient of the usage interval length of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of single usage duration of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of each application in each unit time period ,in Indicated as the number of each application, It is represented by the number of each unit time period in chronological order. , , , They are respectively expressed as the recommended number of uses per unit time period, the recommended interval between uses, the recommended single use time, and the recommended total use time for each application. It is represented by the interval between two consecutive uses of each application in each unit time period, where It is represented by the time sequence of the intervals between two consecutive uses. It is expressed as the single usage duration of each application in each unit time period. It is represented by the number of each use in chronological order. It is expressed as the number of times each application is used in each unit time period. It is expressed as the total usage time of each application in each unit time period; Compare the usage abnormality coefficient of each application in each unit time period with the preset usage abnormality coefficient threshold, select each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient, and record each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient as each abnormal comparison time period corresponding to each application; The number of times and the total usage time of each application corresponding to each abnormal comparison time period are obtained by screening, the average single usage time of each application corresponding to each abnormal comparison time period is obtained by calculating, and the number of times, the total usage time and the average single usage time of each application corresponding to each abnormal comparison time period are screened to obtain the mode set of each application corresponding to each abnormal comparison time period, wherein the mode set includes the mode of the number of times, the mode of the total usage time and the mode of the average single usage time, and the mode of the number of times, the mode of the total usage time and the mode of the average single usage time of each application corresponding to the abnormal comparison time period are respectively recorded as the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period, and the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period are recorded as the abnormal comparison data of the unit time period corresponding to each application.

[0017] The comprehensive analysis module is used to conduct a comprehensive analysis of the abnormal comparison data of each application in the smart terminal in a unit time period to obtain a reference data set for the self-discipline control of each application.

[0018] Furthermore, the specific implementation of the comprehensive analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center to extract the standard usage times and standard total usage duration corresponding to various applications stored in the database; Classify the applications in the smart terminal according to their application types, and obtain abnormal comparison data sets corresponding to the various applications in the smart terminal, wherein the abnormal comparison data set refers to the abnormal comparison data set of the same type of application corresponding to different applications, and perform data statistics on the abnormal comparison data sets corresponding to various applications to obtain the total abnormal comparison usage times and total abnormal comparison usage duration of various applications in a unit time period; By calculating the formula , calculate and obtain the abnormal comparison total usage time correction value corresponding to each application in various applications ; By calculating the formula , calculate and obtain the abnormal comparison usage correction value corresponding to each application in various applications ,in , They are respectively represented by the total abnormal comparison usage time and the abnormal comparison usage times of each application in each type of application in the corresponding abnormal comparison time period. , They are respectively expressed as the total abnormal usage times and total abnormal usage duration of each application in the corresponding unit time period. , They are respectively represented by the standard usage times and standard total usage duration corresponding to each type of application, where It is represented by the number of each type of application; Compare the total usage time correction value by the corresponding anomalies of each application in each category The correction value of the number of times the abnormal comparison is used in each application Calculate and obtain the average single usage time correction value corresponding to the abnormal comparison of each application in each type of application; Compare the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application in each category of applications with the recommended total usage time, recommended usage frequency and recommended single usage time of each application in the corresponding unit time period. If the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are all less than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period, then the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are recorded as the reference data set for the corresponding self-discipline control of each application; If there is an abnormal comparison total usage time correction value, an abnormal comparison usage frequency correction value or an abnormal comparison average single usage time correction value that is greater than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, then the abnormal comparison total usage time correction value, the abnormal comparison usage frequency correction value or the abnormal comparison average single usage time correction value shall be modified to the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, and the values ​​of each item after modification shall be counted and recorded as the reference data set for the corresponding self-discipline control of each application.

[0019] See also Figure 2 To achieve the above purpose, the present invention also provides the following technical solution: A control method based on autonomous use of an intelligent terminal, comprising the following steps: Acquire historical usage data of each application in the smart terminal; Perform a preliminary analysis on the historical usage data of each application in the smart terminal to obtain the abnormal comparison data of each application in the smart terminal in the corresponding unit time period; A comprehensive analysis is performed on the abnormal comparison data of each application in the smart terminal in a unit time period to obtain a reference data set for the self-discipline control of each application.

[0020] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A control system based on autonomous use of intelligent terminals, characterized in that: include: Historical data acquisition module: used to acquire historical usage data of each application in the smart terminal; Preliminary analysis module: used to perform preliminary analysis on the historical usage data of each application in the smart terminal, and obtain the abnormal comparison data of each application in the smart terminal corresponding to the unit time period; Comprehensive analysis module: used to conduct comprehensive analysis on the abnormal comparison data of each application in the smart terminal in a unit time period, and obtain a reference data set for the self-discipline control of each application.

2. A control system based on autonomous use of intelligent terminals according to claim 1, characterized in that: The specific implementation method of the historical data acquisition module is as follows: Obtain data access rights for the target user's corresponding smart terminal; Obtain the application type of each application in the smart terminal corresponding to the target user; Obtain historical usage data of each application in the smart terminal through the data access permission of the smart terminal.

3. A control system based on autonomous use of intelligent terminals according to claim 1, characterized in that: The specific implementation method of the preliminary analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center, and extract the recommended number of uses, recommended usage interval duration, recommended single usage duration, and recommended total usage duration for each application in a corresponding unit time period stored in the data center; Divide the historical usage data of each application in the smart terminal according to a preset unit time period to obtain the historical usage data of each application in each unit time period; The historical usage data of each application in each unit time period includes the number of times each application is used in each unit time period and the initial time and end time corresponding to each use. The single usage duration corresponding to each use of each application in each unit time period and the usage interval duration between two adjacent uses of each application are obtained through the initial time and end time corresponding to each use of each application in each unit time period. The total usage duration of each application in each unit time period is obtained through statistics of the single usage duration corresponding to each use of each application in each unit time period. By calculating the formula , calculate the abnormal coefficient of the usage interval length of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of single usage duration of each application in each unit time period ; By calculating the formula , calculate the abnormal coefficient of each application in each unit time period ,in Indicated as the number of each application, It is represented by the number of each unit time period in chronological order. , , , They are respectively expressed as the recommended number of uses per unit time period, the recommended interval between uses, the recommended single use time, and the recommended total use time for each application. It is represented by the interval between two consecutive uses of each application in each unit time period, where It is represented by the time sequence of the intervals between two consecutive uses. It is expressed as the single usage duration of each application in each unit time period. It is represented by the number of each use in chronological order. It is expressed as the number of times each application is used in each unit time period. It is expressed as the total usage time of each application in each unit time period; Compare the usage abnormality coefficient of each application in each unit time period with the preset usage abnormality coefficient threshold, select each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient, and record each unit time period of each application with a usage abnormality coefficient greater than the usage abnormality coefficient as each abnormal comparison time period corresponding to each application; The number of times and the total usage time of each application corresponding to each abnormal comparison time period are obtained by screening, the average single usage time of each application corresponding to each abnormal comparison time period is obtained by calculating, and the number of times, the total usage time and the average single usage time of each application corresponding to each abnormal comparison time period are screened to obtain the mode set of each application corresponding to each abnormal comparison time period, wherein the mode set includes the mode of the number of times, the mode of the total usage time and the mode of the average single usage time, and the mode of the number of times, the mode of the total usage time and the mode of the average single usage time of each application corresponding to the abnormal comparison time period are respectively recorded as the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period, and the abnormal comparison number of times, the abnormal comparison total usage time and the abnormal comparison average single usage time of each application corresponding to the abnormal comparison time period are recorded as the abnormal comparison data of the unit time period corresponding to each application.

4. A control system based on autonomous use of intelligent terminals according to claim 3, characterized in that: The specific implementation method of the comprehensive analysis module is as follows: Establish a data extraction relationship between the preliminary analysis module and the data center to extract the standard usage times and standard total usage duration corresponding to various applications stored in the database; Classify the applications in the smart terminal according to their application types, and obtain abnormal comparison data sets corresponding to the various applications in the smart terminal, wherein the abnormal comparison data set refers to the abnormal comparison data set of the same type of application corresponding to different applications, and perform data statistics on the abnormal comparison data sets corresponding to various applications to obtain the total abnormal comparison usage times and total abnormal comparison usage duration of various applications in a unit time period; By calculating the formula , calculate and obtain the abnormal comparison total usage time correction value corresponding to each application in various applications ; By calculating the formula , calculate and obtain the abnormal comparison usage correction value corresponding to each application in various applications ,in , They are respectively represented by the total abnormal comparison usage time and the abnormal comparison usage times of each application in each type of application in the corresponding abnormal comparison time period. , They are respectively expressed as the total abnormal usage times and total abnormal usage duration of each application in the corresponding unit time period. , They are respectively represented by the standard usage times and standard total usage duration corresponding to each type of application, where It is represented by the number of each type of application; Compare the total usage time correction value by the corresponding anomalies of each application in each category The correction value of the number of times the abnormal comparison is used in each application Calculate and obtain the average single usage time correction value corresponding to the abnormal comparison of each application in each type of application; Compare the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application in each category of applications with the recommended total usage time, recommended usage frequency and recommended single usage time of each application in the corresponding unit time period. If the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are all less than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period, then the abnormal comparison total usage time correction value, abnormal comparison usage frequency correction value and abnormal comparison average single usage time correction value corresponding to each application are recorded as the reference data set for the corresponding self-discipline control of each application; If there is an abnormal comparison total usage time correction value, an abnormal comparison usage frequency correction value or an abnormal comparison average single usage time correction value that is greater than the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, then the abnormal comparison total usage time correction value, the abnormal comparison usage frequency correction value or the abnormal comparison average single usage time correction value shall be modified to the recommended total usage time, recommended usage frequency and recommended single usage time of the corresponding unit time period of each application, and the values ​​of each item after modification shall be counted and recorded as the reference data set for the corresponding self-discipline control of each application.

5. A control system based on autonomous use of intelligent terminals, applied to a control method based on autonomous use of intelligent terminals as claimed in any one of claims 1 to 4, characterized in that: include: Acquire historical usage data of each application in the smart terminal; Perform a preliminary analysis on the historical usage data of each application in the smart terminal to obtain the abnormal comparison data of each application in the smart terminal in the corresponding unit time period; A comprehensive analysis is performed on the abnormal comparison data of each application in the smart terminal in a unit time period to obtain a reference data set for the self-discipline control of each application.

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