Tablet computer intelligent management system, method and device
By designing a tablet intelligent management system, collecting and analyzing device and user data, generating and optimizing management strategies, the problem of tablets being difficult to accurately manage in multiple people's scenarios is solved, precise control of device status and user behavior is achieved, equipment performance and application management are optimized, and user experience and security are improved.
Patent Information
- Application Number
- CN202510287862.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-12
- Publication Date
- 2025-06-20
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Currently, tablets are difficult to accurately control the usage status of the equipment in a shared scenario of multiple people, resulting in problems such as exhaustion of power and insufficient storage; at the same time, application management is extensive, and it is impossible to intelligently screen, push and update according to user needs and equipment performance, which poses waste of network resources and security risks.
An intelligent management system for tablet computers is designed, including data acquisition module, data analysis module, policy formulation module, execution feedback module and user interaction module. By collecting device data and user usage data, conducting in-depth analysis and classification, targeted management strategies are generated, and by executing real-time optimization strategies for feedback modules, management information and application recommendations are displayed to users.
It realizes all-round intelligent management of tablet computers, accurately controls device status and user behavior, optimizes device performance, manages applications and network resources, avoids problems such as exhaustion of power and insufficient storage, and improves user experience and security.
Smart Images
Figure CN120179072A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of intelligent management of tablet computers, and particularly relates to an intelligent management system, method and device for tablet computers. Background Art
[0002] With the rapid development of technology, tablet computers have been widely used in people's life, study and work. In the field of education, schools are equipped with a large number of tablet computers to assist teaching, and in enterprise offices, tablet computers are often used to achieve mobile office. However, the current management of tablet computers faces many problems. On the one hand, in the scenario of multiple people sharing a tablet computer, such as the e-schoolbag project in schools or the shared device pool in enterprises, it is difficult to accurately control the usage status of each tablet computer, including battery power, storage capacity, running software, etc. Problems such as depleted battery power affecting use, insufficient storage causing applications to be unable to be updated or running stuck are likely to occur. On the other hand, the application management on tablet computers is extensive, and applications cannot be intelligently screened, pushed and updated according to user needs, usage scenarios and device performance, which not only wastes network resources but also may introduce security risks. The traditional manual inspection and manual management methods are not only inefficient but also cannot meet the requirements of real-time and accuracy. An intelligent management solution is needed to solve these problems. Therefore, the present invention provides an intelligent management system, method and device for tablet computers. Summary of the Invention
[0003] The purpose of the present invention is to provide an intelligent management system, method and device for tablet computers to solve the technical problems raised in the background art.
[0004] To achieve the above purpose, the specific technical solutions of the present invention are as follows: An intelligent management system for tablet computers, comprising: A data acquisition module, which is used to collect the device data set and user usage data set of the tablet computer and perform preprocessing. The device data set covers hardware status data, such as battery power, storage capacity, processor usage rate, system information data, including operating system version, installed software list and network connection data, such as the current Wi-Fi signal strength and network type connected, and the user usage data set includes application usage frequency, usage duration, operation habit data, such as the user's commonly used gesture operations and click preference areas; A data analysis module, which deeply processes the preprocessed device data set and user usage data set to obtain device status reference values and user behavior characteristic values, and classifies them accordingly; A policy formulation module: Based on the classification results of the data analysis module, generate targeted management policies; An execution feedback module, which is responsible for implementing the management policies generated by the policy formulation module and collecting the execution result feedback; The user interaction module uses the interactive interfaces such as the display screen and notification bar of the tablet computer to display management information to the user, including device status reminders such as "Low battery, please charge in time" and "Storage is about to run out, it is recommended to clean up the cache"; policy execution notifications such as "Non-critical updates have been paused for you to ensure smooth current use"; and application recommendation reasons, "Based on your usage habits, [application name] is recommended to help with efficient work". At the same time, a user feedback entry is provided to facilitate users to submit problems and suggestions during use. For example, if they are not satisfied with the update of a certain application, they can give immediate feedback, and the system will quickly adjust the policy accordingly.
[0005] Preferably, the specific methods for collecting the device dataset and user usage dataset of the tablet computer include: implementing through built-in sensors, system APIs, and application program data points. For preprocessing, data cleaning is used to remove invalid values and outliers, and data denoising is used to exclude error data caused by environmental interference or accidental system fluctuations.
[0006] Preferably, the steps for deeply processing the device dataset and user usage dataset include: The comprehensive device status indicator is obtained through a specific calculation formula. The device comprehensive status value = a * battery power percentage + b * (1 - storage usage rate * processor load rate) + c * (1 - processor load rate), where a, b, and c are weight factors preset according to the importance of the device, and a + b + c = 1; For the user behavior characteristic value, based on data such as application usage frequency and duration, the clustering algorithm is used to divide user behavior into categories such as high-frequency and efficient type, low-frequency and occasional type, and exploratory and trial type. A preset device status threshold interval (S1, S2) is set. When the device comprehensive status value is less than S1, it is marked as a low-performance state, between S1 and S2 is the normal operation state, and greater than S2 is the high-performance state. At the same time, labels are set for different user behavior categories. For example, the high-frequency and efficient type is marked as the core user mode, and the low-frequency and occasional type is the ordinary standby mode, etc.
[0007] Preferably, the processing methods for the classification results of the device comprehensive status value include: When the device is in a low-performance state, an energy-saving strategy is formulated, such as reducing the screen brightness, closing non-critical background processes, and pausing automatic update tasks; For the core user mode, plugins and function updates related to the applications frequently used by the user are preferentially pushed to ensure a smooth experience. For the ordinary standby mode, the push information is streamlined, and only security patches and critical system updates are pushed. In addition, according to the network connection data, if in a weak network environment, the application update strategy is adjusted to delayed update or only update key modules to avoid network congestion and update failures.
[0008] Preferably, the specific ways for the execution feedback module to give feedback include: Control the hardware drivers and software management processes of the tablet computer through system instructions to implement operations such as energy saving and updating, and monitor the execution process in real time. If there are policy execution conflicts, such as two applications simultaneously requesting exclusive resources, coordinate according to the preset priority rules; after the execution is completed, collect the changes in the device status and user operation feedback, such as the satisfaction score of the user after the application update and the improved battery life time of the device, and transmit them back to the data analysis module for dynamic optimization of subsequent management policies.
[0009] An intelligent management method for a tablet computer, comprising the following steps: S1. Collect the device data set and user usage data set of the tablet computer, and perform preprocessing to ensure the accuracy and availability of the data, laying a foundation for subsequent analysis; S2. Process the collected and preprocessed data sets, use scientific computing and intelligent algorithms to obtain the device status reference value and user behavior characteristic value, and then classify and determine the current state of the device and the user behavior pattern; S3. According to the classification results, generate management policies that meet the actual needs with the help of the policy formulation module, covering aspects such as device performance optimization, application management, and network adaptation; S4. Implement the management policies in place through the execution feedback module, and at the same time closely pay attention to the execution feedback, and optimize and adjust the policies in real time according to the actual effects; present the key information to the user intuitively through the user interaction module, and collect user opinions to improve the management closed-loop.
[0010] An intelligent management device for a tablet computer is a server side equipped with the above system and running the corresponding method, which establishes a connection with multiple tablet computers through the network to achieve centralized control.
[0011] The intelligent management system, method and device for a tablet computer of the present invention have the following advantages: Through comprehensive data collection, accurate analysis, intelligent policy formulation and efficient execution feedback, combined with friendly user interaction, the present invention brings a new intelligent solution for tablet computer management, overcomes the disadvantages of traditional management, adapts to diverse and complex usage scenarios, and strongly promotes the in-depth application and development of tablet computers in various fields. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.
[0013] Figure 1 It is the system structure diagram of the present invention. Detailed implementation manners
[0014] In the following text, only some exemplary embodiments are simply described. As can be recognized by those skilled in the art, the described embodiments can be modified in various different ways without departing from the spirit or scope of the embodiments of the present invention. Therefore, the drawings and the description are considered to be exemplary in nature rather than restrictive.
[0015] In the description of the embodiments of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "vertical", "horizontal", "top", "bottom", etc. are based on the orientation or positional relationships shown in the drawings. These are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation on the embodiments of the present invention.
[0016] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present invention, "a plurality" means two or more unless otherwise specifically defined.
[0017] In the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected to", "fixed", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can be a mechanical connection, an electrical connection, or a communication connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to specific situations.
[0018] The following disclosure provides many different implementation manners or examples for implementing different structures of the embodiments of the present invention. To simplify the disclosure of the embodiments of the present invention, the components and settings of specific examples are described below. Of course, they are only examples and are not intended to limit the embodiments of the present invention. In addition, the embodiments of the present invention may repeat reference numerals and / or reference letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various implementation manners and / or settings discussed.
[0019] To better understand the purpose, structure, and function of the present invention, the following further describes in detail a tablet computer intelligent management system, method, and device of the present invention with reference to the drawings.
[0020] Embodiment 1: AsFigure 1 As shown in the figure, an intelligent management system for a tablet computer according to the present invention includes: A data acquisition module, which is used to collect the device data set and user usage data set of the tablet computer and perform preprocessing. The device data set covers hardware status data, such as battery power, storage capacity, processor usage rate, system information data, including operating system version, installed software list, and network connection data, such as the current Wi-Fi signal strength and network type of the connection. The user usage data set includes application usage frequency, usage duration, operation habit data, such as the user's commonly used gesture operations and click preference areas, etc. The specific methods for collecting the device data set and user usage data set of the tablet computer include: implementing through built-in sensors, system APIs, and application program data points. The preprocessing uses data cleaning to remove invalid values and outliers, and data denoising to exclude error data caused by environmental interference or accidental system fluctuations.
[0021] A data analysis module, which deeply processes the preprocessed device data set and user usage data set to obtain device status reference values and user behavior characteristic values, and classifies them accordingly. The steps for deeply processing the device data set and user usage data set include: Obtaining a comprehensive device status index through a specific calculation formula. The device comprehensive status value = a * battery power percentage + b * (1 - storage usage rate * processor load rate) + c * (1 - processor load rate), where a, b, and c are weight factors preset according to the importance of the device, and a + b + c = 1; For the user behavior characteristic values, according to data such as application usage frequency and duration, the clustering algorithm is used to divide user behaviors into categories such as high-frequency and high-efficiency type, low-frequency and occasional type, exploration and attempt type, etc. A preset device status threshold interval (S1, S2) is set. When the device comprehensive status value is less than S1, it is marked as a low-performance state, between S1 and S2 is the normal operation state, and greater than S2 is the high-performance state. At the same time, labels are set for different user behavior categories. For example, the high-frequency and high-efficiency type is marked as the core user mode, and the low-frequency and occasional type is the ordinary standby mode, etc. The processing methods for the classification results of the device comprehensive status value include: When the device is in a low-performance state, an energy-saving strategy is formulated, such as reducing the screen brightness, closing non-critical background processes, and pausing automatic update tasks; For the core user mode, plugins and function updates related to the applications frequently used by the user are preferentially pushed to ensure a smooth experience. For the ordinary standby mode, the push information is streamlined, and only security patches and critical system updates are pushed. In addition, according to the network connection data, if in a weak network environment, the application update strategy is adjusted to delayed update or only update key modules to avoid network congestion and update failures.
[0022] Strategy formulation module: Generate targeted management strategies based on the classification results of the data analysis module; Execution feedback module, responsible for implementing the management strategies generated by the strategy formulation module and collecting feedback on the execution results; The specific ways of feedback from the execution feedback module include: Control the hardware drivers and software management processes of the tablet through system instructions to implement operations such as energy saving and updates, and monitor the execution process in real time. If there are policy execution conflicts, such as two applications simultaneously requesting exclusive resources, coordinate according to the preset priority rules; After the execution is completed, collect feedback on device status changes and user operations, such as the satisfaction score of users after application updates and the extended battery life of the device, and transmit it back to the data analysis module for dynamic optimization of subsequent management strategies.
[0023] User interaction module, with the help of the interactive interfaces such as the display screen and notification bar of the tablet, display management information to users, including device status reminders, such as "Low battery, please charge in time", "Storage is about to run out, it is recommended to clear the cache"; Policy execution notifications, like "Non-critical updates have been paused for you to ensure smooth current use"; And application recommendation reasons, "Based on your usage habits, recommend [application name] to help with efficient work". At the same time, provide a user feedback entry to facilitate users to submit problems and suggestions during use, such as providing immediate feedback if dissatisfied with a certain application update, and the system will quickly adjust the strategy accordingly.
[0024] Embodiment 2: For the parts not described in detail in this embodiment, refer to the description content of Embodiment 1. Provide a smart management method for a tablet computer, including the following steps: S1. Collect the device data set and user usage data set of the tablet computer, and perform preprocessing to ensure the accuracy and availability of the data, laying a foundation for subsequent analysis; S2. Process the collected and preprocessed data sets, use scientific computing and intelligent algorithms to obtain the device status reference value and user behavior characteristic value, and then classify and determine the current state of the device and the user behavior pattern; S3. According to the classification results, use the strategy formulation module to generate management strategies that meet the actual needs, covering aspects such as device performance optimization, application management, and network adaptation; S4. Implement the management strategies through the execution feedback module, and at the same time closely monitor the execution feedback, and optimize and adjust the strategies in real time according to the actual effects; Use the user interaction module to intuitively present key information to users, and collect user opinions to improve the management closed-loop.
[0025] Embodiment 3: This embodiment provides a smart management device for a tablet computer, which is a server side that runs the above system and corresponding method, and establishes connections with multiple tablet computers through a network to achieve centralized control. It can also be a chipset and software module set integrated inside the tablet computer to independently complete smart management tasks locally, with the significant advantage of being able to flexibly adapt according to the device itself and user conditions, ensuring the stable and efficient operation of the tablet computer and improving user satisfaction.
[0026] It can be understood that the present invention is described through some embodiments. Those skilled in the art know that, without departing from the spirit and scope of the present invention, various changes or equivalent replacements can be made to these features and embodiments. Additionally, under the teaching of the present invention, these features and embodiments can be modified to adapt to specific situations and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application belong to the scope protected by the present invention.
Claims
1. A tablet computer intelligent management system, characterized by: include: The data collection module is used to collect the device data set and user usage data set of the tablet computer and perform preprocessing. The device data set includes hardware status data, system information data and network connection data. The user usage data set includes application usage frequency, usage duration and operation habit data. The data analysis module performs in-depth processing on the pre-processed device data set and user usage data set to obtain device status reference values and user behavior feature values, and classify them accordingly; Strategy formulation module: Generates targeted management strategies based on the classification results of the data analysis module; The execution feedback module is responsible for implementing the management strategies generated by the strategy formulation module and collecting feedback on the execution results; The user interaction module displays management information to users through interactive interfaces such as the tablet computer's display screen and notification bar.
2. A tablet computer intelligent management system according to claim 1, characterized in that: The specific methods of collecting device data sets and user usage data sets of tablet computers include: through built-in sensors, system APIs and application tracking, pre-processing using data cleaning to remove invalid values and abnormal values, and data denoising to eliminate erroneous data caused by environmental interference or accidental system fluctuations.
3. A tablet computer intelligent management system according to claim 1, characterized in that: The steps for deep processing of device datasets and user usage datasets include: The comprehensive device status index is obtained through a specific calculation formula. The comprehensive device status value = a*battery power ratio + b*(1-storage usage processor load rate) + (1-processor load rate), where a, b, and c are weight factors preset according to the importance of the device, and a+b+c=1; For user behavior feature values, clustering algorithms are used based on application usage frequency, duration and other data to divide user behaviors into high-frequency and high-efficiency, low-frequency and occasional, and exploratory and experimental categories. The device status threshold range (S1, S2) is preset. When the device comprehensive status value is less than S1, it is marked as a low-performance state. Between S1 and S2 is a normal operating state, and greater than S2 is a high-performance state. At the same time, labels are set for different user behavior categories.
4. A tablet computer intelligent management system according to claim 3, characterized in that: The processing methods for the classification results of the comprehensive status value of the equipment include: When the device is in a low-performance state, formulate energy-saving strategies, such as reducing screen brightness, shutting down non-critical background processes, and pausing automatic update tasks; For the core user mode, priority is given to pushing plug-ins and function updates related to applications that users use frequently to ensure a smooth experience. For the normal backup mode, the push information is streamlined and only security patches and key system updates are pushed.
5. The tablet computer intelligent management system according to claim 1, characterized in that: The specific ways to implement feedback from the feedback module include: The tablet's hardware driver and software management processes are controlled through system instructions to implement energy-saving and update operations, and the execution process is monitored in real time. If there is a policy execution conflict, such as two applications requesting exclusive resources at the same time, coordination is carried out according to preset priority rules. After execution is completed, device status changes and user operation feedback are collected, such as user satisfaction scores after application updates and device battery life improvement time, and sent back to the data analysis module to dynamically optimize subsequent management strategies.
6. A tablet computer intelligent management method, characterized in that: The tablet computer intelligent system according to claim 1 to claim 5 is implemented, comprising the following steps: S1. Collect the device data set and user usage data set of the tablet computer and perform preprocessing to ensure the accuracy and availability of the data, laying the foundation for subsequent analysis; S2. Process the collected and preprocessed data sets, use scientific computing and intelligent algorithms to obtain device status reference values and user behavior feature values, and then classify and determine the current status of the device and user behavior pattern; S3. Based on the classification results, the policy formulation module generates management strategies that meet actual needs, covering equipment performance optimization, application management, and network adaptation. S4. Implement management strategies in place through the execution feedback module, pay close attention to execution feedback, and optimize and adjust strategies in real time based on actual results; use the user interaction module to present key information to users intuitively, collect user opinions, and improve the management closed loop.
7. A tablet computer intelligent management device, characterized in that: A server-side equipped with the tablet computer intelligent management system and the corresponding operation method as described in claims 1 to 5 is connected to multiple tablet computers through the network to achieve centralized control.