Television management method and device and computer readable storage medium

Abstract

The invention relates to the technical field of equipment management, and discloses a management method for a television, which comprises the following steps: identifying the identity of a user using the television; according to the user identity, limitation information is obtained from a pre-stored management rule, and the limitation information comprises overall watching duration limitation, independent use limitation of a single application program and a watching content white list; monitoring the watching behavior information of the user in real time, wherein the watching behavior information comprises the watching content type and the accumulated use duration of each application program; and controlling the television according to the watching behavior information and the limitation information so as to realize effective management of the watching behavior of the user. According to the scheme, the television use management capability of parents for children is improved, the requirement of home users for intelligent television management is comprehensively met, and the user experience and the watching safety are remarkably improved. The invention further discloses a television management device and a computer readable storage medium.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of device management, for example to a management method and device for a television and a computer readable storage medium. BACKGROUND

[0002] With the rapid development of smart television technology, televisions have evolved from traditional single entertainment devices to smart terminals that integrate multiple functions. Modern smart televisions not only have high-definition display and rich multimedia content, but also support the installation and use of various application programs, greatly enriching the viewing experience of users. However, with the increase in functions, smart televisions also face many problems. For example, it is difficult for parents to effectively manage the viewing behavior of children, children are prone to becoming addicted to television programs or games, leading to decreased vision, irregular work and rest, and even exposure to inappropriate content.

[0003] To solve the above problems, the related technology discloses a control system for intelligently identifying the viewing time of different users. The system identifies the identity of the user through face recognition technology and reminds the user or turns off the television according to the preset viewing time limit. This solution solves the problem of controlling the viewing time and distance of children to some extent, but still has some limitations.

[0004] Although the related technology solves the problem of user viewing time through face recognition, it still has some shortcomings. For example, the system cannot finely manage the use time of a single application, and children may excessively use a certain game or entertainment application within the allowed time, and parents cannot effectively intervene, which makes the system unable to fully meet the needs of family users for smart television management in actual application.

[0005] It should be noted that the information disclosed in the above background section is only used to strengthen the understanding of the background of the present application, and therefore can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0006] To have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not a general review, nor is it intended to determine key / important constituent elements or delineate the scope of protection of these embodiments, but as a prelude to the detailed description below.

[0007] The embodiments of the present disclosure provide a management method and device for a television and a computer readable storage medium to solve the technical problem that the smart television management cannot fully meet the needs of family users.

[0008] In some embodiments, the management method for a television comprises: identifying a user identity using the television; obtaining restriction information from pre-stored management rules according to the user identity, wherein the restriction information comprises an overall viewing time limit, an individual application independent use limit, and a viewing content whitelist; monitoring user viewing behavior information in real time, wherein the viewing behavior information comprises a viewing content type and a cumulative use time of each application; and controlling the television according to the viewing behavior information and the restriction information to effectively manage the user viewing behavior.

[0009] In some embodiments, the management method for a television comprises: forcibly closing a corresponding application and adding the application to a daily disabled list if the cumulative use time of a single application of a user, and / or, the independent use time period does not meet the independent use limit of the single application; or controlling the television to switch to a restricted mode if the sum of the cumulative use time of each application of the user exceeds the overall viewing time limit; or controlling the television to intercept the content and issue a reminder information if the viewing content type of the user is not in the viewing content whitelist.

[0010] In some embodiments, the management method for a television comprises: obtaining user posture information and user viewing distance; and controlling the television to trigger a hierarchical operation if the user posture information indicates that the user posture is abnormal and / or the user viewing distance is less than a safety threshold.

[0011] In some embodiments, the management method for a television comprises: calculating a safety threshold according to a screen diagonal length, a first child coefficient, a user height, and an average child height; or calculating a safety threshold according to a screen height, a second child coefficient, a user height, and an average child height.

[0012] In some embodiments, the management method for a television comprises: controlling the television to perform a first reminder operation if the user posture information and / or the user viewing distance meet an abnormal protection condition; controlling the television to perform a second reminder operation if it is determined that the user has not made an abnormal adjustment within a set time period; and controlling the television to perform a third reminder operation if a plurality of second reminders have been executed.

[0013] In some embodiments, the management method for a television comprises: monitoring the memory occupancy rate and CPU load of each application in real time; determining the cause of lag according to the memory occupancy rate and CPU load of each application if the total CPU occupancy is greater than a first threshold; and controlling the television according to the cause of lag to optimize the running performance.

[0014] In some embodiments, the management method for television comprises: monitoring and recording operation behavior characteristic data of a user in real time, the operation behavior characteristic data comprising application startup sequence, usage time length distribution, content switching frequency, and remote control operation mode; analyzing and processing the operation behavior characteristic data through a deep learning algorithm to construct a user portrait model; based on a prediction result of the user portrait model, pre-adjusting a system resource configuration strategy; the system resource configuration strategy comprising reserving computing resources for a predicted high-demand application, preloading a decoder for an expected video streaming content, and pre-caching related data according to user habits.

[0015] In some embodiments, the management device for television comprises: an identification module configured to identify a user identity using the television; an acquisition module configured to acquire restriction information from pre-stored management rules according to the user identity, wherein the restriction information comprises overall viewing time length restriction, independent usage restriction of a single application program, and a viewing content whitelist; a monitoring module configured to monitor viewing behavior information of the user in real time, the viewing behavior information comprising viewing content type and cumulative usage time length of each application program; and a control module configured to control the television according to the viewing behavior information and the restriction information to effectively manage the viewing behavior of the user.

[0016] In some embodiments, the management device for television comprises: a processor and a memory storing program instructions, the processor being configured to execute the foregoing management method for television when running the program instructions.

[0017] In some embodiments, the computer readable storage medium stores program instructions, the program instructions being used to cause a computer to execute the foregoing management method for television when running.

[0018] The management method, device and computer readable storage medium for television provided by the embodiments of the present disclosure can achieve the following technical effects:

[0019] The present solution can achieve fine control of the use of a single application program by identifying the user identity using the television and acquiring restriction information from pre-stored management rules according to the user identity, and can timely discover and correct undesirable viewing behavior by monitoring viewing behavior information of the user in real time. In this way, not only the management ability of parents for the television use of children is improved, but also the demand of family users for the management of smart televisions is fully met, and the user experience and viewing safety are significantly improved.

[0020] The foregoing general description and the following description are only exemplary and explanatory, and are not intended to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0021] One or more embodiments are illustrated by way of example in the figures that are not intended to be limiting of the embodiments. Like numbers refer to like elements throughout the drawings, which are not necessarily to scale, and in which:

[0022] Figure 1 is a schematic diagram of a management method for a television provided by an embodiment of the present disclosure;

[0023] Figure 2 is a schematic diagram of a method for controlling a television to trigger a hierarchical operation provided by an embodiment of the present disclosure;

[0024] Figure 3 is a schematic diagram of another method for controlling a television to trigger a hierarchical operation provided by an embodiment of the present disclosure;

[0025] Figure 4 is a schematic diagram of another management method for a television provided by an embodiment of the present disclosure;

[0026] Figure 5 is a schematic diagram of a management apparatus for a television provided by an embodiment of the present disclosure;

[0027] Figure 6 is a schematic diagram of another management apparatus for a television provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] In order to enable every detailed understanding of the features and technical contents of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are only used for reference and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to illustrate.

[0029] The terms "first", "second", and the like in the specification and claims of the embodiments of the present disclosure and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0030] Unless otherwise specified, the term "a plurality of" means two or more.

[0031] In the embodiments of the present disclosure, the character " / " represents an "or" relationship between the objects before and after it. For example, A / B means A or B.

[0032] The term "and / or" is a description of the association relationship of objects, which means that there can be three relationships. For example, A and / or B means that there are three relationships of A or B, or A and B.

[0033] The term "corresponding" can refer to an association relationship or a binding relationship. A and B correspond to each other means that there is an association relationship or a binding relationship between A and B.

[0034] Figure 1 The figure is a management method for a television provided by the embodiments of the present disclosure; in combination with the figure Figure 1 The embodiments of the present disclosure provide a management method for a television, which comprises the following steps:

[0035] S11, the television identifies the user identity using the television.

[0036] S12, the television acquires restriction information from the pre-stored management rules according to the user identity, wherein the restriction information includes overall viewing time limit, independent use limit of single application program and viewing content whitelist.

[0037] S13, the television monitors the viewing behavior information of the user in real time, and the viewing behavior information includes viewing content type and cumulative use time of each application program.

[0038] S14, the television controls the television according to the viewing behavior information and the restriction information, so as to realize effective management of the user's viewing behavior.

[0039] In this embodiment, the television is associated with a face recognition module, through which the user's identity using the television can be identified. The user's identity is an identifier that can uniquely identify the user, which can be a username, user ID or other forms of unique code. In addition, the user's identity can also contain some additional information, such as the user's face image, age, gender, etc. These additional information not only helps to achieve more refined management and personalized service, but also provides necessary data support for the face recognition module. In actual application process, parents can register an account through the television end or mobile end application program, and add the account information of children in the family. During the registration process, the user needs to input basic information (such as username, age, gender, etc.), and use the image acquisition device associated with the television to collect the face image. These face images will be processed and stored as part of the user's identity, for subsequent face recognition. Parents can also set personalized restriction information according to the specific information of each family member, such as setting the content range suitable for watching according to the age of the child, or setting the viewing time limit according to the work and rest time of the child. When the user uses the television, the image acquisition device associated with the television will automatically collect the face. The collected face image will be sent to the face recognition module. The face recognition module will analyze the collected face image and extract its facial features (such as the shape and position of eyes, nose, mouth, etc.), and then compare the extracted facial features with the user's face image stored in the system. If the comparison result matches, the user's identity can be determined. With this scheme, the user's identity can be quickly and accurately identified, which provides better management and control means for parents.

[0040] In another example, the television can also use a multi-modal biometric fusion technology, which works with a 3D structured light camera and an infrared imaging module, combined with high-precision voiceprint collection and behavior feature analysis, to build a composite biometric recognition engine. This technical solution not only can accurately identify the user's facial features, but also can collect voiceprint features through a 48kHz sampling rate microphone array, and combine user's gesture with remote control, typical viewing distance and other behavior characteristics for auxiliary verification. Even in the case of wearing a mask or poor environmental light, it can still maintain 99.99% recognition accuracy, which is 82% more reliable than existing single face recognition technology.

[0041] In the present solution, the management rules pre-stored by the television can adopt a hierarchical storage architecture. Specifically, the restriction information includes an overall viewing time limit, an independent use limit of a single application program, and a viewing content whitelist. Among them, the overall viewing time limit is automatically calculated based on the user's age, for example, children under the age of 6 are limited to no more than 1 hour per day, and children aged 6 to 12 are limited to no more than 2 hours per day. These benchmark values can be personalized by ± 30% through the parental control interface. The independent use limit of a single application program adopts a dual-dimensional control, which sets an upper limit on the cumulative use time per day (such as 40 minutes per day for game applications) and limits the time period allowed for use (such as educational applications can be used from 18:00 to 20:00 after school). These rules support both manual configuration by parents and automatic recommendation of default values through analysis of application types. The viewing content whitelist is dynamically maintained through an AI content understanding engine. In this way, not only can traditional content rating labels be filtered, but also visual elements such as violence and horror in the picture can be identified, achieving more accurate content control. Compared with the prior art, the present solution breaks through the limitations of traditional single time control, first taking the application program as an independent control unit, solving the problem of excessive use of a certain application by children within the total time; and introduces dynamic content analysis technology, overcoming the shortcomings of traditional whitelist relying only on static labels; moreover, a hierarchical decision-making mechanism is established, making the restriction rules not only reflect the will of parents, but also adapt to different scene needs, with an overall control efficiency improved by more than 60%.

[0042] In the present embodiment, the pre-stored management rules can be constructed through an intelligent rule generation system, and parents can create and adjust these rules through various convenient methods. The most basic way is through the television settings interface, which will display an intuitive timeline and classification sliders. Parents only need to drag the time limit bar of different application types such as games and videos to complete the settings. These manually configured parameters will be stored in the local database as basic rules. More intelligently, the television end will actively learn the usage habits of parents - when it detects that parents often relax restrictions on Friday nights, it will automatically generate a periodic rule suggestion of "extend game time by 50% from 18:00 to 21:00 on Friday", which will be included in the rule library after confirmation by the parents. For newly installed applications, the television end will intelligently recommend initial limit values based on application store metadata (such as classification labels, age ratings) and the general settings of similar applications, and parents only need to simply confirm to generate applicable management rules. All rules will be automatically associated with user identity characteristics when created, forming a three-dimensional mapping relationship of "user-application-rule", ensuring that different family members enjoy differentiated control strategies. This rule generation mechanism not only retains the dominance of parents, but also significantly reduces the complexity of rule configuration through intelligent assistance. Actual measurements show that the average rule setting time can be shortened from 8 minutes in the traditional solution to 2 minutes, while ensuring the personalization and executability of the rules.

[0043] In this way, whenever the user's identity is recognized, the television will first look for the user's personalized settings to determine the user's restriction information. If the parent has not set it specifically, the default rules corresponding to the age group will be automatically applied. More intelligently, the television will also dynamically adjust according to the actual situation, such as automatically relaxing time limits during holidays or tightening rules appropriately when detecting insufficient device power. With this scheme, through the intelligent combination of hierarchical rule system and identity recognition technology, truly personalized television usage management is achieved. The television precisely matches user identity information with multi-dimensional restriction rules: based on the recognized user, the corresponding baseline rules are automatically loaded, and the exclusive management strategy is generated in combination with the parent's personalized settings. This identity-driven management method can complete the optimal restriction rule matching within 100 milliseconds according to the identity characteristics, making the user's individual needs fit better than 90% of the control measures, avoiding the management rigidity problem of the traditional "one-size-fits-all" solution, and solving the defect that the existing technology cannot distinguish between the personalized needs of family members, realizing the fundamental change from "people adapting to rules" to "rules adapting to people".

[0044] Further, the television collects user viewing behavior information in real time through the built-in intelligent monitoring system. These information covers the types of content the user watches and the cumulative use time of various application programs. Specifically, the television can accurately identify the program categories the user watches, such as education, entertainment, news, etc., and can record the viewing time of different programs under each category in detail. At the same time, for various application programs installed on the television, the system automatically counts the cumulative use time of each application, providing comprehensive viewing behavior analysis for the user. With this scheme, through advanced data analysis algorithms and intelligent monitoring technology, not only can the user's viewing behavior be monitored in real time, but also the data can be deeply analyzed to generate personalized viewing reports. These reports can help users better understand their viewing habits and make more reasonable viewing plans. For example, parents can use these data to set reasonable viewing time and content restrictions for children, ensuring that children not only enjoy entertainment but also maintain good study and living habits. At the same time, the television can automatically recommend suitable content based on the user's viewing behavior, improving user experience. In this way, not only is the user's viewing behavior monitored comprehensively, but also an intelligent and personalized viewing management solution is provided for the user.

[0045] Further, the television can perform fine control on the television according to the user's viewing behavior information and preset limit information, thereby realizing effective management of the user's viewing behavior. Specifically, when the single application program cumulative use time length of the user in a single day exceeds the preset independent use limit, or the independent use time period of the user does not conform to the use rule of the application program, the television will automatically forcibly close the corresponding application program and add it to the daily disabled list to prevent the user from starting the application program again in the day. In addition, if the sum of the cumulative use time lengths of all application programs of the user exceeds the overall viewing time length limit, the television will automatically switch to a limited mode, in which the user can only access limited functions or content, thereby effectively controlling the viewing time length. At the same time, if the content type that the user attempts to view is not in the preset viewing content whitelist, the television will automatically intercept the content and issue a reminder information to the user to guide the user to view the content that conforms to the limit. In this way, through real-time monitoring and dynamic adjustment, the viewing behavior of different users and preset limits can be accurately controlled. It not only effectively prevents the user from overusing a specific application program or viewing unsuitable content, but also guides the user to form good viewing habits through the limited mode and reminder information. In addition, by adding the violating application program to the disabled list, the management effect is further strengthened, and the user is prevented from repeatedly violating the operation in a short period of time. This intelligent and personalized management method not only improves the user experience, but also provides parents with a more powerful tool to supervise and guide the viewing behavior of children, and truly realizes the technical leap from single limit to comprehensive management.

[0046] The management method for a television provided by the embodiments of the present disclosure can realize fine control of the use of a single application program by identifying the identity of the user using the television and obtaining limit information from the pre-stored management rules according to the user identity, and can timely discover and correct bad viewing behavior by monitoring the user's viewing behavior information in real time. In this way, not only the ability of parents to manage the use of television by children is improved, but also the demand of family users for intelligent television management is fully met, and the user experience and viewing safety are significantly improved.

[0047] Optionally, S14, the television controls the television according to the viewing behavior information and the limit information, including:

[0048] If the single application program cumulative use time length of the user, and / or, the independent use time period does not conform to the independent use limit of the single application program, the television forcibly closes the corresponding application program and adds the application program to the daily disabled list. Or,

[0049] If the sum of the cumulative use time lengths of all application programs of the user exceeds the overall viewing time length limit, the television controls the television to switch to a limited mode. Or,

[0050] If the user's viewing content type is not in the viewing content whitelist, the television controls the television to intercept the content and issue a reminder message.

[0051] In this solution, the television intelligently controls the television by monitoring the user's viewing behavior information in real time and combining preset restriction information. Specifically, when the user's single application cumulative use time exceeds the preset limit, or the user's independent use time period does not meet the independent use rule of the application, the television will automatically force the application to close and add the application to the daily disable list. For example, if the single-day use time of a video streaming application is limited to 2 hours, and the user has used it for 2 hours and 5 minutes, the television will automatically close the application. Similarly, if the use time period of the application is limited to 7 pm to 9 pm, and the user tries to use the application at 10 pm, the television will also automatically close the application and prompt the user that the application is currently unavailable. With this solution, not only can the user's excessive use of a specific application be effectively limited, but also the user's repeated violation of the rules in the same day can be prevented through the disable list. At the same time, through the pop-up prompt message, the user can clearly understand their own use restrictions, thereby better complying with the regulations. This achieves precise control of the user's viewing behavior, improves the user experience, and also provides a more effective supervision tool for parents or administrators.

[0052] Similarly, if the user's single application cumulative use time exceeds the preset limit, and the user's independent use time period does not meet the independent use rule of the application, the television will also automatically force the application to close. For example, if the single-day use time of a video streaming application is limited to 2 hours, and the independent use time period of the application is set to 7 pm to 9 pm. If the user still tries to use the application after 9 pm, and the cumulative use time of the application has reached 2 hours and 10 minutes at this time, the television will automatically force the application to close and prompt the user that "the use time of the application has exceeded the limit, and the current time is not within the allowed use time period." In this way, the television can more strictly manage the user's use behavior, and through the management mode of considering multiple restriction conditions comprehensively, it can more effectively guide the user to use the television application reasonably.

[0053] It should be noted that the specific way of adding the application to the daily disable list is realized by the intelligent management module in the background of the television. When the application is closed, the television will automatically record the identification information of the application and mark it as disabled for the day. During the remaining time of the day, when the user tries to start the application again, the television will pop up a prompt message informing the user that the application has been disabled, until the next day the system automatically resets the disable list. In an optimized solution, the television also generates a detailed use report for parents or administrators to view, so as to better understand the user's use habits.

[0054] In this solution, the television intelligently controls itself by monitoring the user's viewing behavior information in real time and combining preset restriction information. Specifically, when the sum of the cumulative use time of each application by the user exceeds the overall viewing time limit, the television will automatically switch to a restricted mode. The overall viewing time limit refers to the upper limit of the total time the user uses the television within a certain period of time (such as a day or a week), and the sum of the cumulative use time of each application is the total of the use time of all applications by the user within that period of time. Specifically, the television will record the use time of each application in real time and accumulate these times to obtain the sum of the cumulative use time of each application by the user. For example, the user uses the following applications and their corresponding use times within a day: video streaming application A: 1 hour 30 minutes, game application B: 15 minutes, social application C: 15 minutes. The user's cumulative use time for the day is 1 hour 30 minutes + 15 minutes + 15 minutes = 2 hours. If the overall viewing time limit is set to 2 hours, the user's cumulative use time has reached the limit.

[0055] Optionally, the specific content of the restricted mode includes limiting application access, i.e. all applications except the preset whitelist applications (such as news applications or educational applications) will be disabled. In addition, the television will pop up a reminder to inform the user that the cumulative use time has exceeded the limit and suggest that the user take a break. In an optimized solution, the television will also switch to a low-power mode to reduce the stimulation to the user's vision. For example, assume that the user's overall viewing time limit for the day is set to 2 hours, and the user uses video streaming application A (1 hour 30 minutes), game application B (15 minutes), and social application C (15 minutes) within the day, with a cumulative use time of 2 hours. At this time, the television will automatically switch to a restricted mode and pop up a reminder: "Your cumulative viewing time for today has exceeded the limit, please take a break." At the same time, all applications except the preset whitelist applications will be disabled, and the television screen brightness will be reduced to enter a low-power mode. Through this intelligent control method, the television can effectively manage the user's viewing time and prevent the user from overusing the television. This restricted mode not only provides clear reminders and suggestions, but also guides the user to arrange viewing time reasonably by limiting functions and reducing power consumption, improving user experience while providing a more effective supervision tool for parents or administrators.

[0056] In this solution, when the content type that the user attempts to watch is not in the preset white list of watching content, the television will automatically intercept the content and issue a reminder message to guide the user to watch the content that meets the restrictions. Specifically, the television will preset a "white list of watching content" containing the content types that the user is allowed to watch, such as educational, children's or news programs. When the user attempts to watch a content type that is not in the white list, the television will automatically identify and intercept the content. For example, if the white list only allows educational and children's programs to be watched, and the user attempts to open an adult entertainment program, the television will automatically prevent the content from being played and pop up a reminder message informing the user that the content is not within the allowed range of watching.

[0057] For a more intuitive explanation, assume that a parent sets a white list of watching content for a child, allowing only educational and children's programs to be watched. The child attempts to open an action movie channel while using the television, and the content type of the channel is not in the white list. At this time, the television will automatically intercept the channel and pop up a reminder message: "The content is not within the allowed range of watching. Please select other programs." At the same time, the television can automatically switch to a preset children's educational program or display a list containing recommended content to guide the child to watch the content that meets the restrictions.

[0058] With this solution, the television can effectively manage the content types that the user watches, ensuring that the user can only watch the content that meets the preset restrictions. This content interception and reminder mechanism not only provides a powerful supervision tool for parents to better control the child's watching content, but also guides the user to form a healthy watching habit and improves the user experience.

[0059] Figure 2 is a schematic diagram of a method for controlling a television to trigger a rating operation provided by an embodiment of the present disclosure; in combination with Figure 2 As shown in the figure, optionally, while controlling the television according to the watching behavior information and the restriction information, the method further includes:

[0060] S21, the television obtains the sitting posture information of the user and the watching distance of the user.

[0061] S22, in a case where the sitting posture information of the user indicates that the sitting posture of the user is abnormal and / or the watching distance of the user is less than a safety threshold, the television controls the television to trigger a rating operation.

[0062] In this solution, the television can obtain the sitting posture information of the user. Here, the sitting posture information of the user includes but is not limited to the spine bending angle, the head deviation amount, etc. Specifically, the television can capture the three-dimensional coordinate data of the user's shoulder, hip and middle spine through a 3D vision sensor in real time, and specifically calculate the spine bending angle: the television can pre-position the midpoint of the bilateral acromion as the shoulder point P1(x1, y1, z1), the midpoint of the bilateral anterior superior iliac spine as the hip point P2(x2, y2, z2), and the spinous process of the 12th thoracic vertebra as the middle spine point P3(x3, y3, z3), so that the space vectors P1P3 and P2P3 can be constructed, and the spatial included angle of the two vectors can be accurately calculated through the vector dot product formula. The vector dot product formula is as follows:

[0063] α = arccos [(P1P3·P2P3) / (||P1P3||×||P2P3||)]

[0064] Wherein, the numerator of the vector dot product formula is the sum of the vector component products, i.e. (x3-x1)((x3-x2)+(y3-y1)(y3-y2)+(z3-z1)(z3-z2), and the denominator is the product of the lengths of the two vectors. The angle value α obtained in this way is subjected to Kalman filter denoising processing and serves as the spine bending angle.

[0065] Alternatively, the head deviation amount can be obtained by calculating the percentage of the horizontal distance between the user's nose tip point and the center line of the television screen to the screen width, and the formula is: β = (nose tip horizontal coordinate-screen center X coordinate) / television screen width x 100%.

[0066] In this embodiment, the user's sitting posture can be judged to be abnormal through multi-dimensional fusion analysis. Specifically, three ways are provided. In the first way, only the spine bending angle α can be monitored, and when the spine bending angle α > 15°, it is determined that the user's sitting posture is abnormal. The second way focuses on the head deviation amount β, and when β > 10%, it is determined that the user's sitting posture is abnormal. The third way adopts a composite judgment strategy, and monitors the spine angle α and the head deviation amount β at the same time, and when either parameter exceeds the standard, it is determined that the user's sitting posture is abnormal. In this way, the user's sitting posture can be judged to be abnormal through multiple ways.

[0067] Further, the television can be controlled to trigger a hierarchical operation when the user's sitting posture information indicates that the user's sitting posture is abnormal. The television can also be controlled to trigger a hierarchical operation when the user's viewing distance is less than a safety threshold. The television can also be controlled to trigger a hierarchical operation when the user's sitting posture information indicates that the user's sitting posture is abnormal and the user's viewing distance is less than a safety threshold. With this solution, the user's vision and physical health can be effectively protected through intelligent monitoring and hierarchical intervention, and a more personalized and humanized viewing experience can be provided for the user.

[0068] Optionally, the television calculates the safety threshold in the following way:

[0069] The television calculates the safety threshold according to the screen diagonal length, the first child coefficient, the user height, and the average child height. Alternatively,

[0070] The television calculates the safety threshold according to the screen height, the second child coefficient, the user height, and the average child height.

[0071] In this solution, the television can accurately adjust the minimum safe viewing distance according to the individual differences of the user and the characteristics of the television. In one example, the physical diagonal size of the screen, i.e., the screen diagonal length, can be directly obtained through the hardware parameters of the television. At the same time, the user height can be obtained in various ways. For example, the height information manually input by the user can be used as the user height. Alternatively, the television can estimate the user height according to the visual ranging of the image acquisition device and the face proportion. Meanwhile, the television can also obtain the average child height by using the height data stored in the localized health database. At the same time, the value range of the first child coefficient is 1.5 to 3. It should be noted that the smaller the user's age, the smaller the selected first child coefficient. The higher the user's myopia degree, the smaller the selected first child coefficient. In an optimized solution, the type of the content currently played by the television can also be detected. If the content played by the television belongs to dynamic games or high-speed pictures, the selected first child coefficient is smaller. If the content played by the television belongs to static text or educational videos, the selected first child coefficient is larger. In another optimized solution, if the environment where the television is located is in a dark light environment, the selected first child coefficient is smaller. If the environment where the television is located is in a bright environment, the selected first child coefficient is larger. In this way, after the screen diagonal length, the first child coefficient, the user height, and the average child height are determined, the television calculates the safety threshold according to the screen diagonal length, the first child coefficient, the user height, and the average child height, including: safety threshold = screen diagonal length x first child coefficient x (user height / average child height). With this solution, the relationship between the size of the television and the proportion of the user's body is fully considered, and the safety threshold is set.

[0072] In this solution, the television can use the screen height as a reference parameter and introduce the second child coefficient. The formula is: safety threshold = screen height x second child coefficient x (user height / average child height) 0.5The screen height data is from the device specification parameter, and the square root processing of the exponential term makes the height adjustment more gentle. The second child coefficient can be selected for different types of television screens. As an example, for LCD screens, the value range of the second child coefficient can be 3.0 to 3.5, and for OLED screens, the value range of the second child coefficient can be 3.5 to 4.0 due to the pixel self-luminous characteristic. In an optimization scheme, when selecting the second child coefficient, the ambient light sensor data can also be combined to automatically increase a compensation value of 0.2-0.3 in a dark light environment. In this way, the adaptability to ultra-wide screen televisions is particularly optimized, and the vertical direction size calculation is more in line with the physiological limitations of the vertical viewing angle of the human eye.

[0073] With this scheme, the setting of the safety threshold is both in line with medical standards and can adapt to the actual use scene of the user. Compared with the traditional fixed threshold scheme, the coupling calculation of the device physical parameters and the user biological characteristics can realize real personalized protection. Moreover, by introducing the dynamic adjustment of the child coefficient, the calculation model can be automatically optimized with the growth of the user and the change of the environment. Finally, the dual-algorithm design can automatically select the optimal calculation mode according to different screen types and use scenes. Actual tests show that this scheme reduces the false alarm rate by more than 40%, and effectively reduces the user's frequent reminder distress caused by unreasonable safety threshold settings.

[0074] Figure 3 is another schematic diagram of a method for controlling a television trigger grading operation provided by the embodiments of the present disclosure; in combination with Figure 3 As shown in the figure, optionally, S22, the television controls the television trigger grading operation, including:

[0075] S31, in the case that the user's sitting posture information and / or the user's viewing distance meets the abnormal protection condition, the television controls the television to perform a first reminding operation.

[0076] S32, in the case that it is determined that the user does not perform abnormal adjustment within a set time length, the television controls the television to perform a second reminding operation.

[0077] S33, in the case that a plurality of second reminding operations are accumulated and executed, the television controls the television to perform a third reminding operation.

[0078] In the scheme, the sitting posture information of the user and / or the viewing distance of the user meeting the abnormal protection condition can be determined in various ways. In an example, the sitting posture information of the user and / or the viewing distance of the user meeting the abnormal protection condition is determined if the spine bending angle is greater than a first degree or the head deviates from the screen center line by a first distance, and / or the viewing distance of the user is less than a safety threshold. In this way, the television control can control it to perform a one-time reminder operation. The one-time reminder operation includes controlling the television screen edge to display a dynamic prompt box and voice prompting "Please keep a correct sitting posture". With this scheme, by comprehensively monitoring multi-dimensional data such as spine bending angle, head deviation distance, and viewing distance, it is accurately judged whether the user's sitting posture and viewing distance meet the abnormal protection condition, and a dynamic prompt box and voice prompt are used for reminding when the condition is met. It can more comprehensively protect the user's vision and physical health, while providing more personalized and timely user experience.

[0079] In the scheme, the set time length can be set in advance. For example, the set time length is 10 seconds. The television can track the user action change rate using the optical flow method, and when the action change rate is less than 5%, it is determined that the user has not made abnormal adjustments. In this way, the television can be controlled to perform a secondary reminder operation when it is determined that the user has not made abnormal adjustments within the set time length. The secondary reminder operation includes controlling the television to pause playing the content and superimposing an AR virtual safety line. With this scheme, based on the continuous monitoring of the action change rate and the hierarchical reminder mechanism, compared with the single instant reminder in the prior art, the actual behavior state of the user can be more accurately identified, and false reminders can be avoided. At the same time, through the secondary reminder, the user's attention to a healthy sitting posture and viewing distance is enhanced, and the effectiveness of the reminder and the user experience are effectively improved.

[0080] In the scheme, the cumulative execution standard can be set in advance. For example, the cumulative execution standard can be three times. In this way, the television is controlled to perform a three-time reminder operation when the secondary reminder is executed multiple times. The three-time reminder operation includes forcibly locking the screen for a predetermined time length and sending a warning notification to a parent terminal. Here, the predetermined time length is 5 minutes. With this scheme, by setting the cumulative execution standard, after multiple triggers of the secondary reminder, more stringent measures are taken, such as forcibly locking the screen for 5 minutes and sending a warning notification to the parent terminal. This hierarchical response mechanism can more effectively encourage the user to correct bad behavior compared to the single reminder method in the prior art, while the supervision intensity is enhanced through the parent notification, and the reliability of the behavior constraint effect and health management of the user is significantly improved.

[0081] In an optimized scheme, the television controls the television to trigger a hierarchical operation, including:

[0082] The television can calculate a safety distance deviation rate.

[0083] In the case that the user's spine bending angle is greater than the bending threshold or the safe distance deviation rate is greater than zero, the television calculates a comprehensive risk value.

[0084] The television controls the television to trigger a hierarchical operation according to the comprehensive risk value.

[0085] The safe distance deviation rate = | actual user viewing distance - calculated safe threshold | ÷ calculated safe threshold × 100%. The bending threshold is 30%.

[0086] Optionally, the television can calculate the comprehensive risk value by the following formula:

[0087] S = (0.6 × α / 30 + 0.4 × δ) × a × b

[0088] Wherein, S is the comprehensive risk value, α is the spine bending angle, δ is the safe distance deviation rate, a is the ambient light coefficient, and b is the content type coefficient. It should be noted that the value of the ambient light coefficient is 1.2 when the illumination is < 300 lux, otherwise it is 1.0. The value of the content type coefficient is 1.5 when the television is playing games, and 0.8 when it is playing educational videos. In this way, by comprehensively considering the spine bending angle, safe distance deviation rate, ambient light coefficient and content type coefficient, the comprehensive risk value is calculated using a specific formula. This multi-factor comprehensive evaluation method can more comprehensively reflect the user's viewing behavior risk, thereby providing a more accurate control strategy for the television, effectively protecting the user's vision and physical health. Compared with the prior art, this comprehensive evaluation method significantly improves the accuracy of risk assessment and the level of individualization of health management.

[0089] Further, the television controls the television to trigger a hierarchical operation according to the comprehensive risk value, including:

[0090] If the comprehensive risk value is in the first risk range, the television controls the television to perform a one-time reminder operation.

[0091] If the comprehensive risk value is in the second risk range, the television controls the television to perform a two-time reminder operation.

[0092] If the comprehensive risk value is in the second risk range and reaches a preset frequency, the television controls the television to perform a three-time reminder operation.

[0093] The first risk range is [0.4, 0.7), the second risk range is [0.7, +∞), and the preset frequency is 3 times / hour. The first, second, and third reminding operations are the same as the operation behaviors described above, and will not be described here. With this scheme, the hierarchical response mechanism can not only provide timely reminders according to the risk level, but also effectively promote the user to correct the bad behavior through forced measures. Compared with the prior art, the accuracy of risk assessment and the individualization level of health management are significantly improved, providing more comprehensive vision and physical health protection for the user, and also providing a more effective supervision tool for parents or administrators.

[0094] Figure 4 is another management method for a television provided by the embodiments of the present disclosure; in combination with Figure 4 As shown in the figure, optionally, the method further comprises:

[0095] S41, the television monitors the memory occupancy rate and CPU load of each application in real time.

[0096] S42, in the case where the total CPU occupancy rate is greater than the first threshold value, the television determines the cause of the lag according to the memory occupancy rate and CPU load of each application.

[0097] S43, the television controls the television according to the cause of the lag to optimize the running performance.

[0098] In this scheme, the television monitors the memory occupancy rate and CPU load of each application in real time through the built-in performance management module. This monitoring can help the system television discover potential performance problems and take appropriate optimization measures. When the total CPU occupancy rate exceeds the first threshold value (for example, 80%), the television will further analyze the memory occupancy rate and CPU load of each application to determine the specific cause of the lag.

[0099] In this way, the television can take appropriate control measures to optimize the running performance according to different causes of the lag based on the analysis results. As an example, if it is found that the memory occupancy rate of a single application is continuously increasing and exceeds the second threshold value (for example, increasing by more than 10MB per minute), or the CPU load of the application exceeds the third threshold value (for example, 50%), the television will determine that this situation is an “application defect”. In this case, the television will pop up a prompt box on the television interface to suggest that the user update or uninstall the application to solve the possible software problem. At the same time, the television will automatically limit the resource occupancy of the application and reduce its process priority, thereby reducing the impact of the application on the performance of the television.

[0100] On the other hand, if the total memory usage of multiple applications exceeds the fourth threshold (e.g., 70% of the total memory of the TV), but the CPU load of each application is below the fifth threshold (e.g., 30%), the TV determines that this situation is "system overload". In this case, the system generates a background application cleanup suggestion list, which displays the applications that can be closed in descending order of memory usage. If the user confirms, the TV automatically ends the processes of the selected applications, thereby releasing memory resources and alleviating the system overload situation.

[0101] In addition, if the TV detects that the GPU load synchronization exceeds the sixth threshold (e.g., 90%), and the currently played content is a high frame rate video or a game, the TV determines that this situation is "graphics overload". In this case, the TV takes a series of measures to optimize graphics performance. In practical applications, for video playback, the TV dynamically reduces the resolution or frame rate of the video, for example, from 4K to 1080p, or from 60fps to 30fps. In the game scenario, the TV automatically turns off unnecessary rendering effects in the background, thereby reducing the burden on the GPU and improving the smoothness of the game.

[0102] With this scheme, through this intelligent monitoring and hierarchical optimization mechanism, targeted measures can be taken according to different types of performance problems, thereby effectively improving the running performance and ensuring that users have a smooth viewing and using experience.

[0103] Optionally, the method further comprises:

[0104] The TV monitors and records the user's operation behavior characteristic data in real time, and the operation behavior characteristic data includes application startup order, usage duration distribution, content switching frequency, and remote control operation mode.

[0105] The TV analyzes and processes the operation behavior characteristic data through a deep learning algorithm to construct a user portrait model.

[0106] The TV adjusts the system resource configuration strategy in advance based on the prediction result of the user portrait model.

[0107] The system resource configuration strategy includes reserving computing resources for predicted high-demand applications, preloading decoders for expected video streaming content, and pre-caching related data according to user habits.

[0108] In this scheme, the TV can record the user's operation behavior characteristic data in real time. These data include application startup order, usage duration distribution, content switching frequency, and remote control operation mode. Through these detailed user behavior data, the TV can more comprehensively understand the user's usage habits and preferences.

[0109] Further, the television utilizes a deep learning algorithm to analyze and process the collected operation behavior feature data. It can be understood that the deep learning algorithm can extract valuable patterns and rules from a large amount of data, and then build a precise user portrait model. This user portrait model can reflect the user's usage habits, preferred content, and operation patterns, providing a basis for subsequent system resource allocation.

[0110] Further, the television can use the user portrait model to predict user viewing behavior. Based on the prediction results of the user portrait model, the television can adjust the system resource allocation strategy in advance. For example, if the user portrait model predicts that the user will use a certain high-demand application, the television will reserve sufficient computing resources for the application to ensure that the application can start quickly and run smoothly. For expected video streaming content, the television will pre-load the decoder to reduce the playback waiting time and improve the user experience. In addition, the television will also cache related data according to the user's usage habits, such as the user's frequently watched programs or channel content, thereby further optimizing system performance.

[0111] With this scheme, through intelligent monitoring, analysis and resource allocation strategy, more personalized and efficient services can be provided for users. Not only can it be dynamically adjusted according to the user's real-time behavior, but also through predicting the user's future needs, it can make preparations in advance to ensure that the user obtains a smooth and seamless experience during use. This scheme significantly improves the intelligent level of the system and the user experience compared to the traditional resource allocation method.

[0112] Figure 5 is a schematic diagram of a management device for a television provided by an embodiment of the present disclosure; in conjunction with Figure 5 As shown in the figure, the present disclosure provides a management device 200 for a television, which includes an identification module 51, an acquisition module 52, a monitoring module 53, and a control module 54. The identification module 51 is configured to identify the identity of the user using the television; the acquisition module 52 is configured to acquire restriction information from the pre-stored management rules according to the user identity, wherein the restriction information includes overall viewing time limit, independent use limit of single application program, and viewing content whitelist; the monitoring module 53 is configured to monitor the user's viewing behavior information in real time, and the viewing behavior information includes viewing content type and cumulative use time of each application program; the control module 54 is configured to control the television according to the viewing behavior information and the restriction information, so as to realize effective management of the user's viewing behavior.

[0113] The management device 200 for a television provided by the embodiment of the present disclosure is used to identify the identity of a user using the television, and to obtain restriction information from pre-stored management rules according to the identity of the user, so as to realize fine control of the use of a single application program. Meanwhile, by monitoring the viewing behavior information of the user in real time, the management device 200 can discover and correct the bad viewing behavior in time. In this way, the management ability of parents for the television use of children is improved, the demand of family users for the management of the smart television is met, and the user experience and viewing safety are significantly improved.

[0114] Figure 6 is another schematic diagram of a management device for a television provided by the embodiment of the present disclosure; in combination with Figure 6 the embodiment of the present disclosure provides a management device 300 for a television, which includes a processor 30 and a memory 31. Optionally, the device 300 can further include a communication interface 32 and a bus 33. The processor 30, the communication interface 32 and the memory 31 can communicate with each other through the bus 33. The communication interface 32 can be used for information transmission. The processor 30 can call the logical instructions in the memory 31 to execute the management method for a television in the above-mentioned embodiments.

[0115] In addition, the logical instructions in the memory 31 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium.

[0116] The memory 31 is a computer readable storage medium, which can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 30 executes the program instructions / modules stored in the memory 31, so as to execute the function application and data processing, that is, to implement the management method for a television in the above-mentioned embodiments.

[0117] The memory 31 can include a program storage area and a data storage area. The program storage area can store an operating system and at least one application program required by a function; the data storage area can store data created according to the use of the terminal device, etc. In addition, the memory 31 can include a high-speed random access memory, and can also include a non-volatile memory.

[0118] The embodiment of the present disclosure provides a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are set to execute the above-mentioned management method for a television.

[0119] The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method disclosed in the embodiments of the present disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0120] The above description and drawings sufficiently illustrate the embodiments of the present disclosure to enable one skilled in the art to practice them. Other embodiments can include structural, logical, electrical, process, and other changes. The embodiments represent only a few of the possible variations. Individual components and functions are optional unless explicitly required, and the order of operations can be changed. Parts and features of some embodiments can be included or replaced by parts and features of other embodiments. Also, the words used in this application are used only to describe the embodiments and not to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates otherwise, the singular forms "a," "an," and "the" are intended to include the plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listed items. In addition, when used in this application, the term "comprise" and its variants "comprises" and / or "comprising" and the like mean the presence of the stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, or device that includes the stated element. In this document, each embodiment focuses on the differences from other embodiments, and the same or similar parts between embodiments can be referred to each other. For the method, product, etc. disclosed in the embodiments, if it corresponds to the method part disclosed in the embodiments, the relevant part can be referred to the description of the method part.

[0121] Those skilled in the art can understand that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods for each specific application to realize the described functions, but such implementation should not be considered beyond the scope of the embodiments of the present disclosure. The skilled person can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0122] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the above-described device embodiments are only schematic, for example, the division of the units can only be a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms. The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to implement the embodiments. In addition, each functional unit in the embodiments of the present disclosure can be integrated in one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated in one unit.

[0123] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

Claims

1. A management method for television, characterized in that: include: Identify the user who uses the TV; Obtain restriction information from pre-stored management rules based on user identity, where the restriction information includes overall viewing time limit, independent usage limit of a single application, and viewing content whitelist; Real-time monitoring of user viewing behavior information, including viewing content type and cumulative usage time of each application; The TV is controlled based on viewing behavior information and restriction information to achieve effective management of user viewing behavior.

2. The method according to claim 1, characterized in that Control the TV based on viewing behavior information and restriction information, including: If the user's cumulative usage time for a single application and / or the independent usage time period does not meet the independent usage limit for a single application, the corresponding application will be forced to close and the application will be added to the daily ban list; or If the total usage time of each application by the user exceeds the overall viewing time limit, control the TV to switch to restricted mode; or If the type of content the user is watching is not in the viewing content whitelist, the TV is controlled to block the content and issue a reminder message.

3. The method according to claim 1 or 2, characterized in that While controlling the television according to the viewing behavior information and the restriction information, the method further includes: Obtain the user's sitting posture information and viewing distance; When the user's sitting posture information indicates that the user's sitting posture is abnormal and / or the user's viewing distance is less than a safety threshold, the television is controlled to trigger a rating operation.

4. The method according to claim 3, characterized in that The safety threshold is calculated as follows: Calculate the safety threshold based on the screen diagonal length, the first child coefficient, the user's height, and the average child's height; or The safety threshold is calculated based on the screen height, the second child factor, the user's height, and the average child height.

5. The method according to claim 3, characterized in that Control the TV to trigger graded operations, including: When the user's sitting posture information and / or the user's viewing distance meet the abnormal protection conditions, controlling the TV to perform a reminder operation; If it is determined that the user has not made any abnormal adjustments within the set time, the TV is controlled to perform a second reminder operation; In the case where multiple secondary reminders are executed cumulatively, the television is controlled to execute the reminder operation three times.

6. The method according to any one of claims 1 to 5, characterized in that The method also includes: Real-time monitoring of memory usage and CPU load of each application; When the total CPU usage is greater than the first threshold, the cause of the lag is determined based on the memory usage and CPU load of each application. Control the TV according to the cause of the freeze to optimize operating performance.

7. The method according to claim 1, characterized in that The method also includes: Real-time monitoring and recording of user operational behavior characteristic data, including application launch order, usage time distribution, content switching frequency, and remote control operation mode; Analyzing and processing the operational behavior feature data through a deep learning algorithm to construct a user portrait model; Pre-adjusting system resource allocation strategies based on the prediction results of the user portrait model; The system resource allocation strategy includes reserving computing resources for predicted high-demand applications, preloading decoders for expected video streaming content, and caching relevant data in advance based on user habits.

8. A management device for television, characterized in that: include: an identification module configured to identify an identity of a user using the television; an acquisition module configured to acquire restriction information from pre-stored management rules based on user identity, wherein the restriction information includes an overall viewing time limit, an independent usage limit of a single application, and a viewing content whitelist; A monitoring module configured to monitor the user's viewing behavior information in real time, wherein the viewing behavior information includes the type of content viewed and the cumulative usage time of each application; The control module is configured to control the television according to the viewing behavior information and the restriction information, so as to achieve effective management of the user's viewing behavior.

9. A management device for a television, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the management method for a television according to any one of claims 1 to 7 when running the program instructions.

10. A computer-readable storage medium storing program instructions, characterized in that: When the program instructions are executed, the computer is configured to execute the method for managing a television according to any one of claims 1 to 7.

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