Digital media playing management system based on data analysis

Abstract

The invention discloses a digital media playing management system based on data analysis, particularly relates to the field of data analysis, and comprises a media playing classification module, a playing data acquisition module, a playing data preprocessing module, a playing data analysis module, a comprehensive analysis module, a playing state analysis module and a playing interaction module. According to the method, the user behavior, the media performance and the media picture of digital media playing are accurately collected in real time through big data, the user behavior, the media performance and the media picture are deeply evaluated through a data analysis technology, and the evaluation value of each playing sub-region is extracted through a specific mathematical model; based on the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value, the playing state of the digital media is reflected, and a scientific basis is provided for the overall operation state.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and more specifically, to a digital media playback management system based on data analysis. Background Art

[0002] With the continuous advancement of information technology, digital media technology has developed rapidly. With its intuitive, vivid and easy-to-spread characteristics, digital media has become an important way of modern information dissemination. Its functions and performance have also been continuously improved. By integrating digital media resources and realizing unified management and efficient playback of content, digital media provides strong support for information dissemination.

[0003] The existing digital media playback management system includes a data analysis module, a content management module and a device management module. The data analysis module collects playback data and user behavior data of the playback terminal, and extracts valuable information such as viewing time, number of views, and user preferences through data analysis algorithms; the content management module provides functions such as uploading, reviewing, publishing, and deleting digital media content to ensure the legality and timeliness of the content; the device management module monitors and manages the status of the digital media playback terminal, such as whether the device is online and whether the playback is normal. In addition, the system also supports remote control and configuration of the device, which improves the maintenance efficiency of the equipment.

[0004] However, in actual use, it still has some shortcomings. For example, due to hardware and software limitations, the traditional digital media playback management system has limited data processing and analysis capabilities, and data between modules is difficult to share, forming data islands; the data analysis module cannot collect relevant data of digital media in real time, so the collected data is not comprehensive enough and cannot respond to dynamic changes in resource usage in a timely manner. Summary of the invention

[0005] In order to overcome the above defects of the prior art, an embodiment of the present invention provides a digital media playback management system based on data analysis, which solves the problems raised in the above background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] Media playback classification module: used to classify the target digital media playback according to the type, and mark the classification type as a playback sub-area, marked as 1, ..., n respectively;

[0008] Playback data collection module: used to collect playback data of each playback sub-area, the playback data includes user behavior data, media performance data and media screen data;

[0009] Play data preprocessing module: preprocesses the data transmitted by the play data acquisition module, and transmits the preprocessed data to the play data analysis module;

[0010] Playback data analysis module: analyzes the data transmitted by the playback data preprocessing module, including a user behavior analysis unit, a media performance analysis unit, a media picture analysis unit, and a data transmission unit;

[0011] Comprehensive analysis module: including a comprehensive analysis model, based on the data transmitted by the playback data analysis module, the comprehensive analysis model is imported to perform comprehensive analysis, a comprehensive evaluation index is calculated, and the comprehensive evaluation index is transmitted to the playback status analysis module;

[0012] Playback status analysis module: determines the playback status of the target digital media based on the comprehensive evaluation index transmitted by the comprehensive analysis module;

[0013] Play interaction module: includes a first interaction unit and a second interaction unit, and is used to send an interaction signal according to the playback status of the target digital media.

[0014] Preferably, the user behavior data include video viewing time, viewing times, number of new users, number of logged-in users and total media video time, respectively denoted as Ct, Cn, Cx, Cd and T; the media performance data include playback response time and network delay, respectively denoted as Bt and Bd; the media picture data include bit rate, horizontal pixels and vertical pixels, respectively denoted as Cb, Ch and Cv.

[0015] Preferably, the playback data preprocessing module preprocesses the data transmitted by the playback data acquisition module, and the preprocessing operations include data cleaning and standardization. The preprocessed user behavior data include user retention rate, viewing completion rate and average video viewing time, which are respectively denoted as Gn, Gx and Gt. The preprocessed media performance data include average playback response time, playback response time standard deviation and network delay standard deviation, which are respectively denoted as Ft, Fb and Fd. The preprocessed media picture data include bit rate fluctuation value and resolution, which are respectively denoted as Ab and Ah.

[0016] Furthermore, the number of logged-in users Cd in the i-th playback sub-area i and the number of new users Cx i , calculate the user retention rate, which is specifically expressed as: The video viewing time Ct of the i-th playback sub-area i 、Views Cn i And the total duration T of the media video, calculate the viewing completion rate, which is specifically expressed as: By video viewing time Ct i , calculate the average video viewing time, specifically expressed as: The playback response time Bt of the i-th playback sub-area i , calculate the average playback response time and the standard deviation of the playback response time, which can be expressed as: The network delay Bd through the i-th playback sub-area i , calculate the standard deviation of network delay, which is specifically expressed as: The bit rate Cb of the i-th playback sub-area i , calculate the bit rate fluctuation value, which is specifically expressed as: Through the horizontal pixels Ch of the i-th playback sub-area i and vertical pixel Cv i , calculate the resolution, specifically expressed as: Ah = Ch i ×Cv i .

[0017] Preferably, the user behavior analysis unit is used to establish a user behavior data analysis model, import the user behavior data transmitted by the playback data preprocessing module into the user behavior data analysis unit, and calculate the user behavior evaluation value of each playback sub-area, which is specifically expressed as:

[0018]

[0019] Where G represents the user behavior evaluation value of the playback sub-area, Gn i represents the user retention rate of the i-th playback sub-area, Gx i represents the viewing completion rate of the i-th playback sub-area, Gt represents the average viewing time of the video, and Ct i Indicates the video viewing time of the i-th playback sub-area.

[0020] Preferably, the media performance analysis unit is used to establish a media performance data analysis model, import the media performance data transmitted by the playback data preprocessing module into the media performance data analysis unit, and calculate the media performance evaluation value of each playback sub-area, which is specifically expressed as:

[0021]

[0022] Where F represents the media performance evaluation value of the playback sub-area, Fb i represents the standard deviation of the playback response time of the i-th playback sub-area, Ft i represents the average response time of playback in the i-th playback sub-area, Bt i Indicates the playback response time of the i-th playback sub-area, Fd i Indicates the standard deviation of the network delay in the i-th playback sub-area.

[0023] Preferably, the media picture analysis unit is used to establish a media picture data analysis model, import the media picture data transmitted by the playback data preprocessing module into the media picture data analysis unit, and calculate the media picture evaluation value of each playback sub-area, which is specifically expressed as:

[0024]

[0025] Where A represents the media picture evaluation value of the playback sub-area, Ah i Indicates the resolution of the i-th playback sub-area, Ab i represents the bit rate fluctuation value of the i-th playback sub-area, A 标 Indicates the standard resolution for target digital media playback.

[0026] Preferably, the data transmission unit is used to integrate the data of the user behavior analysis unit, the media performance analysis unit and the media picture analysis unit, and transmit the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value to the comprehensive analysis model.

[0027] Preferably, the comprehensive analysis module establishes a comprehensive analysis model based on the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value, which is specifically expressed as follows:

[0028]

[0029] Where G represents the user behavior evaluation value of the playback sub-area, F represents the media performance evaluation value of the playback sub-area, A represents the media picture evaluation value of the playback sub-area, λ1, λ2 and λ3 are proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and W represents the comprehensive evaluation index of digital media playback.

[0030] Preferably, the playback status analysis module is used to obtain the comprehensive evaluation index standard value W b The standard value of the comprehensive evaluation index is obtained through the system operation database. Based on the comprehensive evaluation index transmitted by the comprehensive analysis module, the comprehensive evaluation index is compared with the standard value of the comprehensive evaluation index. If W b ≤W, indicating that the comprehensive evaluation index is greater than or equal to the standard value of the comprehensive evaluation index, the target digital media playback is marked as normal; if W b >W, indicating that the comprehensive evaluation index is less than the standard value of the comprehensive evaluation index, the target digital media playback is marked as an abnormal state.

[0031] Preferably, the first interaction unit updates the comprehensive evaluation index of the target digital media to a new comprehensive evaluation index standard value when the target digital media playback is marked as normal; the second interaction unit sends a warning signal to the user information terminal when the target digital media playback is marked as abnormal.

[0032] Technical effects and advantages of the present invention:

[0033] 1. The present invention classifies the target digital media playback by type through the media playback classification module. Each playback sub-area operates independently, ensuring that data can be processed efficiently and showing the user's preference for digital media playback. The present invention uses big data to evaluate the playback in three dimensions of user behavior, media performance and media screen in real time and accurately, ensuring the comprehensiveness and accuracy of the data source, and laying a solid data foundation for subsequent data analysis.

[0034] 2. Through the playback data analysis module, the user behavior, media performance and media screen are deeply analyzed, and the evaluation value of each playback sub-area is extracted through a specific mathematical model, including the user behavior evaluation value, the media performance evaluation value and the media screen evaluation value. The modular design enhances the flexibility and scalability of the system; through the comprehensive analysis module, the evaluation values ​​of various types of data are integrated, and the comprehensive evaluation index of the target digital media is calculated using the comprehensive analysis model, which comprehensively reflects the playback status of the digital media and provides a scientific basis for the overall operating status; through the playback status analysis module, the standard value of the comprehensive evaluation index is compared with the comprehensive evaluation index of the target digital media to judge the playback status of the target digital media, and corresponding warning signals are issued according to different operating states, thereby improving the accuracy of the system's safety warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0036] Figure 2 It is a structural schematic diagram of the playback data analysis module of the present invention.

[0037] Figure 3 It is a flow chart of the system operation of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] As attached Figure 1 A digital media playback management system based on data analysis is shown, comprising:

[0040] The playback data collection module is used to collect playback data of each playback sub-area, and the playback data includes user behavior data, media performance data and media screen data.

[0041] In this embodiment, it should be specifically explained that user behavior data includes video viewing time, viewing times, number of new users, number of logged-in users and total media video time, which are respectively denoted as Ct, Cn, Cx, Cd and T; media performance data includes playback response time and network delay, which are respectively denoted as Bt and Bd; media picture data includes bit rate, horizontal pixels and vertical pixels, which are respectively denoted as Cb, Ch and Cv.

[0042] The playback data preprocessing module preprocesses the data transmitted by the playback data acquisition module, and transmits the preprocessed data to the playback data analysis module.

[0043] In this embodiment, it should be specifically explained that the playback data preprocessing module preprocesses the data transmitted by the playback data acquisition module, and the preprocessing operation includes data cleaning and standardization. The preprocessed user behavior data includes user retention rate, viewing completion rate and average video viewing time, which are respectively denoted as Gn, Gx and Gt. The preprocessed media performance data includes average playback response time, playback response time standard deviation and network delay standard deviation, which are respectively denoted as Ft, Fb and Fd. The preprocessed media picture data includes bit rate fluctuation value and resolution, which are respectively denoted as Ab and Ah.

[0044] Furthermore, the number of logged-in users Cd in the i-th playback sub-area i and the number of new users Cx i , calculate the user retention rate, which is specifically expressed as: The video viewing time Ct of the i-th playback sub-area i 、Views Cn i And the total duration T of the media video, calculate the viewing completion rate, which is specifically expressed as: By video viewing time Ct i , calculate the average video viewing time, specifically expressed as: The playback response time Bt of the i-th playback sub-area i , calculate the average playback response time and the standard deviation of the playback response time, which can be expressed as: The network delay Bd through the i-th playback sub-area i , calculate the standard deviation of network delay, which is specifically expressed as: The bit rate Cb of the i-th playback sub-area i , calculate the bit rate fluctuation value, which is specifically expressed as: Through the horizontal pixels Ch of the i-th playback sub-areai and vertical pixel Cv i , calculate the resolution, specifically expressed as: Ah = Ch i ×Cv i .

[0045] The playback data analysis module is used to analyze the data transmitted by the playback data preprocessing module, and includes a user behavior analysis unit, a media performance analysis unit, a media picture analysis unit and a data transmission unit.

[0046] In this embodiment, it should be specifically explained that the user behavior analysis unit is used to establish a user behavior data analysis model, import the user behavior data transmitted by the playback data preprocessing module into the user behavior data analysis unit, and calculate the user behavior evaluation value of each playback sub-area, which is specifically expressed as:

[0047]

[0048] Where G represents the user behavior evaluation value of the playback sub-area, Gn i represents the user retention rate of the i-th playback sub-area, Gx i represents the viewing completion rate of the i-th playback sub-area, Gt represents the average viewing time of the video, and Ct i represents the video viewing time of the i-th playback sub-area; the media performance analysis unit is used to establish a media performance data analysis model, import the media performance data transmitted by the playback data preprocessing module into the media performance data analysis unit, and calculate the media performance evaluation value of each playback sub-area, which is specifically expressed as:

[0049]

[0050] Where F represents the media performance evaluation value of the playback sub-area, Fb i represents the standard deviation of the playback response time of the i-th playback sub-area, Ft i represents the average response time of playback in the i-th playback sub-area, Bt i Indicates the playback response time of the i-th playback sub-area, Fd i represents the standard deviation of the network delay of the i-th playback sub-area; the media picture analysis unit is used to establish a media picture data analysis model, import the media picture data transmitted by the playback data preprocessing module into the media picture data analysis unit, and calculate the media picture evaluation value of each playback sub-area, which is specifically expressed as:

[0051]

[0052] Where A represents the media picture evaluation value of the playback sub-area, Ah i Indicates the resolution of the i-th playback sub-area, Ab irepresents the bit rate fluctuation value of the i-th playback sub-area, A 标 Indicates the standard resolution of the target digital media playback; the data transmission unit is used to integrate the data of the user behavior analysis unit, the media performance analysis unit and the media picture analysis unit, and transmit the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value to the comprehensive analysis model.

[0053] The comprehensive analysis module includes a comprehensive analysis model. The data transmitted by the playback data analysis module is imported into the comprehensive analysis model to perform comprehensive analysis, calculate a comprehensive evaluation index, and transmit it to the playback status analysis module.

[0054] In this embodiment, it should be specifically explained that the comprehensive analysis module establishes a comprehensive analysis model based on the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value, which is specifically expressed as follows:

[0055]

[0056] Where G represents the user behavior evaluation value of the playback sub-area, F represents the media performance evaluation value of the playback sub-area, A represents the media picture evaluation value of the playback sub-area, λ1, λ2 and λ3 are proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and W represents the comprehensive evaluation index of digital media playback.

[0057] The playback status analysis module determines the playback status of the target digital media based on the comprehensive evaluation index transmitted by the comprehensive analysis module.

[0058] In this embodiment, it should be specifically explained that the playback state analysis module is used to obtain the standard value W of the comprehensive evaluation index. b The standard value of the comprehensive evaluation index is obtained through the system operation database. Based on the comprehensive evaluation index transmitted by the comprehensive analysis module, the comprehensive evaluation index is compared with the standard value of the comprehensive evaluation index. If W b ≤W, indicating that the comprehensive evaluation index is greater than or equal to the standard value of the comprehensive evaluation index, the target digital media playback is marked as normal; if W b >W, indicating that the comprehensive evaluation index is less than the standard value of the comprehensive evaluation index, the target digital media playback is marked as an abnormal state.

[0059] The play interaction module includes a first interaction unit and a second interaction unit, which are used to send an interaction signal according to the play status of the target digital media.

[0060] In this embodiment, it should be specifically explained that the first interaction unit updates the comprehensive evaluation index of the target digital media to a new comprehensive evaluation index standard value when the target digital media playback is marked as a normal state; the second interaction unit sends a warning signal to the user information terminal when the target digital media playback is marked as an abnormal state.

[0061] like Figure 3 This embodiment provides an operation process of a digital media playback management system based on data analysis, including the following steps:

[0062] S1: Classify the target digital media playback according to the type, and mark the classification type as a playback sub-area, which is marked as 1, ..., n respectively;

[0063] S2: Collect video viewing time, viewing times, number of new users, number of logged-in users, total media video duration, playback response time, network latency, resource utilization, bit rate, horizontal pixels, and vertical pixels;

[0064] S3: Calculate user retention rate, viewing completion rate, average video viewing time, average playback response time, playback response time standard deviation, network latency standard deviation, bit rate fluctuation value, and resolution;

[0065] S4: Calculate the user behavior evaluation value, media performance evaluation value and media picture evaluation value based on the data in S3;

[0066] S5: Calculate a comprehensive evaluation index based on the user behavior evaluation value, the media performance evaluation value, and the media picture evaluation value;

[0067] S6: determining the playback status of the target digital media based on the comprehensive evaluation index transmitted by the comprehensive analysis module;

[0068] S7: Sending an interactive signal according to the playback status of the target digital media.

[0069] The present invention classifies the target digital media playback according to the type through the media playback classification module, and each playback sub-area runs independently, which ensures that the data can be processed efficiently and shows the user's preference for digital media playback; the playback of the digital media playback is evaluated in three dimensions of user behavior, media performance and media screen in real time and accurately through big data, which ensures the comprehensiveness and accuracy of the data source and lays a solid data foundation for subsequent data analysis; the user behavior, media performance and media screen are deeply analyzed through the playback data analysis module, and the evaluation value of each playback sub-area is extracted through a specific mathematical model, including the user behavior evaluation value, the media performance evaluation value and the media screen evaluation value, and the modular design enhances the flexibility and scalability of the system; the evaluation values ​​of various types of data are integrated through the comprehensive analysis module, and the comprehensive evaluation index of the target digital media is calculated using the comprehensive analysis model, which fully reflects the playback state of the digital media and provides a scientific basis for the overall operation state; the playback state analysis module compares the comprehensive evaluation index standard value with the comprehensive evaluation index of the target digital media, judges the playback state of the target digital media, and makes corresponding warning signals according to different operation states, thereby improving the accuracy of the safety warning of the system.

[0070] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0071] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A digital media playback management system based on data analysis, characterized in that: include: Media playback classification module: used to classify the target digital media playback according to the type, and mark the classification type as a playback sub-area, marked as 1, ..., n respectively; Playback data collection module: used to collect playback data of each playback sub-area, the playback data includes user behavior data, media performance data and media screen data; Play data preprocessing module: preprocesses the data transmitted by the play data acquisition module, and transmits the preprocessed data to the play data analysis module; Playback data analysis module: analyzes the data transmitted by the playback data preprocessing module, including a user behavior analysis unit, a media performance analysis unit, a media picture analysis unit, and a data transmission unit; Comprehensive analysis module: including a comprehensive analysis model, based on the data transmitted by the playback data analysis module, the comprehensive analysis model is imported to perform comprehensive analysis, a comprehensive evaluation index is calculated, and the comprehensive evaluation index is transmitted to the playback status analysis module; Playback status analysis module: determines the playback status of the target digital media based on the comprehensive evaluation index transmitted by the comprehensive analysis module; Play interaction module: includes a first interaction unit and a second interaction unit, and is used to send an interaction signal according to the playback status of the target digital media.

2. The digital media playback management system based on data analysis according to claim 1, characterized in that: The user behavior data includes video viewing time, number of views, number of new users, number of logged-in users and total media video time, which are denoted as Ct, Cn, Cx, Cd and T respectively; the media performance data includes playback response time and network delay, which are denoted as Bt and Bd respectively; the media picture data includes bit rate, horizontal pixels and vertical pixels, which are denoted as Cb, Ch and Cv respectively.

3. The digital media playback management system based on data analysis according to claim 1, characterized in that: The playback data preprocessing module preprocesses the data transmitted by the playback data acquisition module. The preprocessing operation includes data cleaning and standardization. The preprocessed user behavior data includes user retention rate, viewing completion rate and average video viewing time, which are respectively denoted as Gn, Gx and Gt. The preprocessed media performance data includes average playback response time, standard deviation of playback response time and standard deviation of network delay, which are respectively denoted as Ft, Fb and Fd. The preprocessed media picture data includes bit rate fluctuation value and resolution, which are respectively denoted as Ab and Ah.

4. The digital media playback management system based on data analysis according to claim 1, characterized in that: The user behavior analysis unit is used to establish a user behavior data analysis model, import the user behavior data transmitted by the playback data preprocessing module into the user behavior data analysis unit, and calculate the user behavior evaluation value of each playback sub-area, which is specifically expressed as: Where G represents the user behavior evaluation value of the playback sub-area, Gn i represents the user retention rate of the i-th playback sub-area, Gx i represents the viewing completion rate of the i-th playback sub-area, Gt represents the average viewing time of the video, and Ct i Indicates the video viewing time of the i-th playback sub-area.

5. The digital media playback management system based on data analysis according to claim 1, characterized in that: The media performance analysis unit is used to establish a media performance data analysis model, import the media performance data transmitted by the playback data preprocessing module into the media performance data analysis unit, and calculate the media performance evaluation value of each playback sub-area, which is specifically expressed as: Where F represents the media performance evaluation value of the playback sub-area, Fb i represents the standard deviation of the playback response time of the i-th playback sub-area, Ft i represents the average response time of playback in the i-th playback sub-area, Bt i Indicates the playback response time of the i-th playback sub-area, Fd i Indicates the standard deviation of the network delay in the i-th playback sub-area.

6. The digital media playback management system based on data analysis according to claim 1, characterized in that: The media picture analysis unit is used to establish a media picture data analysis model, import the media picture data transmitted by the playback data preprocessing module into the media picture data analysis unit, and calculate the media picture evaluation value of each playback sub-area, which is specifically expressed as: Where A represents the media screen evaluation value of the playback sub-area, A 标 Indicates the standard value of resolution for digital media playback, Ah i Indicates the resolution of the i-th playback sub-area, Ab i represents the bit rate fluctuation value of the i-th playback sub-area, A 标 Indicates the standard resolution for target digital media playback.

7. The digital media playback management system based on data analysis according to claim 1, characterized in that: The data transmission unit is used to integrate the data of the user behavior analysis unit, the media performance analysis unit and the media picture analysis unit, and transmit the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value to the comprehensive analysis model.

8. The digital media playback management system based on data analysis according to claim 1, characterized in that: The comprehensive analysis module establishes a comprehensive analysis model based on the user behavior evaluation value, the media performance evaluation value and the media picture evaluation value, which is specifically expressed as follows: Where G represents the user behavior evaluation value of the playback sub-area, F represents the media performance evaluation value of the playback sub-area, A represents the media picture evaluation value of the playback sub-area, λ1, λ2 and λ3 are proportional coefficients corresponding to different evaluation values, λ1>0, λ2>0, λ3>0, and W represents the comprehensive evaluation index of digital media playback.

9. The digital media playback management system based on data analysis according to claim 1, characterized in that: The playback status analysis module is used to obtain the standard value of the comprehensive evaluation index W b The standard value of the comprehensive evaluation index is obtained through the system operation database. Based on the comprehensive evaluation index transmitted by the comprehensive analysis module, the comprehensive evaluation index is compared with the standard value of the comprehensive evaluation index. If W b ≤W, indicating that the comprehensive evaluation index is greater than or equal to the standard value of the comprehensive evaluation index, the target digital media playback is marked as normal; if W b >W, indicating that the comprehensive evaluation index is less than the standard value of the comprehensive evaluation index, the target digital media playback is marked as an abnormal state.

10. The digital media playback management system based on data analysis according to claim 1, characterized in that: The first interaction unit updates the comprehensive evaluation index of the target digital media to a new comprehensive evaluation index standard value when the target digital media playback is marked as normal; the second interaction unit sends a warning signal to the user information terminal when the target digital media playback is marked as abnormal.

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