CN113949907A - Intelligent screen analysis system and method based on broadcasting and television receiving big data - Google Patents
Intelligent screen analysis system and method based on broadcasting and television receiving big data Download PDFInfo
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- CN113949907A CN113949907A CN202111058148.7A CN202111058148A CN113949907A CN 113949907 A CN113949907 A CN 113949907A CN 202111058148 A CN202111058148 A CN 202111058148A CN 113949907 A CN113949907 A CN 113949907A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
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Abstract
The invention provides an intelligent screen analysis system based on broadcasting and television receiving big data, which relates to the technical field of receiving analysis and comprises the following components: the data layer is used for collecting user operation information, video on demand information and channel program information of a plurality of users in real time and outputting the information which is contained in the broadcasting and television receiving big data; the adaptation layer runs above the data layer and is used for receiving the television big data; the data storage layer runs above the adaptation layer and is used for storing big data of television and radio; the application layer runs above the data storage layer and is used for analyzing and processing the big television watching data according to the control signal to obtain and output the comprehensive watching information; and the presentation layer is used for outputting a control signal and outputting the viewing comprehensive information to the intelligent screen for visual display. The system and the method have the advantages that the system and the method collect the big data of the television and radio audience rating and analyze the big data to obtain the multidimensional audience rating parameters, and the system provides real-time and regular data and can judge the audience rating of channels and programs more scientifically and accurately.
Description
Technical Field
The invention relates to the technical field of audience rating analysis, in particular to an intelligent screen analysis system and method based on broadcasting and television audience rating big data.
Background
The audience rating of the broadcast television program is directly reflected by the quality of the channel program, so that the audience rating of more and more programs is used as an important index, and with the development of a big data technology, the audience rating of the program obtained by analyzing user data through the big data technology becomes an important way.
However, the current program audience rating index is single, the comprehensive index of the program cannot be analyzed from multiple dimensions, and the judgment is often directly carried out only by partial audience ratings, so that the audience rating judgment of the channel and the program generates serious one-sidedness.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent screen analysis system based on broadcasting and television receiving big data, which comprises:
the data layer is used for acquiring user operation information, video on demand information and channel program information of a plurality of users in real time, and outputting the information contained in the broadcasting and television receiving big data;
the adaptation layer runs above the data layer and is used for receiving the television and television receiving big data;
the data storage layer runs above the adaptation layer and is used for storing the television and television viewing big data;
the application layer runs above the data storage layer and is used for analyzing and processing the big television watching data according to a control signal to obtain and output comprehensive watching information;
and the presentation layer runs above the application layer, and an operator outputs the control signal and outputs the viewing comprehensive information to an intelligent screen for visual display through the presentation layer.
Preferably, the system further comprises a verification layer, which runs above the presentation layer and is used for performing password verification, face verification, authority verification and electronic signature verification on an operator, and the operator can enter the presentation layer after passing through the password verification, the face verification, the authority verification and the electronic signature verification.
Preferably, the data layer includes:
the plurality of set-top data modules are used for respectively acquiring and outputting the user operation information of the corresponding users;
the plurality of video-on-demand modules are used for respectively acquiring and outputting the video-on-demand information of corresponding users;
and the program guide modules are used for respectively acquiring and outputting the channel program information of the corresponding users.
Preferably, the adaptation layer comprises:
the terminal acquisition module is used for receiving the user operation information output by each set top data module;
the video interface module is used for receiving the video-on-demand information output by each video-on-demand module;
and the program interface module is used for receiving the channel program information output by each program guide module.
Preferably, the application layer includes:
a real-time analysis module, for processing to obtain a real-time viewing information according to each user operation information, each video-on-demand information and each channel program information, and including the real-time viewing information in the viewing comprehensive information;
a schedule analysis module, configured to process each piece of user operation information, each piece of video-on-demand information, and each piece of channel program information within a first preset time range to obtain schedule viewing information, and include the schedule viewing information in the viewing comprehensive information;
and the inflow and outflow analysis module is used for counting inflow and outflow people numbers of a plurality of channels and corresponding inflow and outflow programs according to the user operation information, the video on demand information and the channel program information in a second preset time range and containing the inflow and outflow people numbers and the inflow and outflow programs in the comprehensive viewing information.
Preferably, the real-time analysis module includes:
a first real-time analysis unit, configured to process, according to each piece of user operation information, each piece of video-on-demand information, and each piece of channel program information, respectively to obtain a real-time channel list and a real-time program list, where the real-time channel list and the real-time program list are included in the real-time viewing information;
and the second real-time analysis unit is used for respectively processing the user operation information, the video on demand information and the channel program information to obtain a real-time audience number, a real-time audience rating of each channel and a real-time audience rating of a plurality of programs, and the real-time audience rating is contained in the real-time audience information.
Preferably, the periodic analysis module includes:
a first periodic analysis unit, configured to process each user operation information, each video-on-demand information, and each channel program information within the preset time range to obtain a periodic channel list and a periodic program list, respectively, and include the periodic program list and the periodic program list in the periodic viewing information;
and the second periodic analysis unit is used for respectively processing the user operation information, the video on demand information and the channel program information in the preset time range to obtain a scheduled audience number, a per-person audience duration of each channel, a scheduled audience rating of each channel and a scheduled audience rating of a plurality of programs, and the scheduled audience rating is contained in the real-time audience information.
Preferably, the intelligent screen analysis method residing in the television and television audience rating big data is applied to the intelligent screen analysis system, and specifically comprises the following steps:
step S1, the intelligent screen analysis system collects a user operation information, a video on demand information and a channel program information of a plurality of users in real time and outputs the information contained in the television big data;
step S2, the intelligent screen analysis system analyzes and processes the big data of the television and radio to obtain and output comprehensive television information;
and step S3, the intelligent screen analysis system outputs the comprehensive viewing information to an intelligent screen for visual display.
Preferably, step S2 includes:
the intelligent screen analysis system processes the user operation information, the video on demand information and the channel program information to obtain real-time viewing information which comprises a real-time channel list, a real-time program list, a real-time viewing number, a real-time viewing rate of each channel and a real-time viewing rate of a plurality of programs, and the real-time viewing information is contained in the viewing comprehensive information.
Preferably, the step S2 further includes:
the intelligent screen analysis system processes the user operation information, the video-on-demand information and the channel program information in a first preset time range to obtain scheduled watching information which is contained in the watching comprehensive information, wherein the scheduled watching information comprises a scheduled channel list, a scheduled program list, a scheduled watching number, a per-person watching duration of each channel, a scheduled watching rate of each channel and a scheduled watching rate of a plurality of programs.
The technical scheme has the following advantages or beneficial effects: the system and the method collect the big data of television and radio reception and analyze the data to obtain the multidimensional audience rating parameters, and the system provides real-time and regular data, so that the reception of channels and programs can be judged more scientifically and accurately.
Drawings
FIG. 1 is a schematic diagram of the system in accordance with the preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of the steps of the method according to the preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In accordance with the above-mentioned problems in the prior art, there is provided an intelligent screen analysis system based on big tv and radio data, as shown in fig. 1, comprising:
the data layer 1 is used for collecting user operation information, video on demand information and channel program information of a plurality of users in real time and outputting the information contained in the television and television viewing big data;
the adaptation layer 2 runs above the data layer 1 and is used for receiving the television and television big data;
the data storage layer 3 runs above the adaptation layer 2 and is used for storing big television and radio viewing data;
the application layer 4 runs above the data storage layer 3 and is used for analyzing and processing the big data of the television and radio watching television according to a control signal to obtain and output comprehensive watching information;
the presentation layer 5, the top of running in the application layer 4, operating personnel through presentation layer 5 output control signal and will watch the comprehensive information output and carry out visual show to an intelligent screen 6.
Specifically, in this embodiment, data are docked through a graphical editing (Grafana) service, a highly customized smart screen 6 is provided, rich dynamic data modeling display is provided, analysis and summary results of various data are visually displayed through data integration of different dimensions and different categories, and important requirements of real-time monitoring and upper-layer dynamic comprehensive data acquisition are fully met.
Preferably, the operator can log in the system through the browser in the presentation layer 5 and use all functions of the system.
In a preferred embodiment of the present invention, the present invention further comprises a verification layer 7, which runs above the presentation layer 5 and is used for performing password verification, face verification, authority verification and electronic signature verification on an operator, and the operator can enter the presentation layer 5 after passing through the password verification, the face verification, the authority verification and the electronic signature verification.
Specifically, in this embodiment, the verification layer 7 applies secure confidentiality and data verification techniques such as RSA asymmetric encryption and MD5 data verification, and can provide an effective secure mechanism, provide that information and data between layers of the system can be transmitted and received securely, and provide secure mechanisms such as password verification, authority verification, electronic signature verification, and the like, in the verification layer 7, thereby ensuring secure and reliable system access.
In a preferred embodiment of the present invention, the data layer 1 comprises:
the plurality of set-top data modules 11 are used for respectively acquiring and outputting user operation information of corresponding users;
the plurality of video-on-demand modules 12 are used for respectively collecting and outputting video-on-demand information of corresponding users;
and a plurality of program guide modules 13, configured to collect and output channel program information of corresponding users respectively.
Specifically, in this embodiment, the set-top data module 11 is a set-top box for collecting user operation information, the video-on-demand module 12 is a video-on-demand system for collecting video-on-demand information, and the program guide module 13 is an electronic program guide system for collecting channel program information.
In a preferred embodiment of the present invention, the adaptation layer 2 comprises:
a terminal acquisition module 21, configured to receive user operation information output by each set-top data module 11;
a video interface module 22, for receiving the video-on-demand information output by each video-on-demand module 12;
a program interface module 23, for receiving the channel program information outputted by each program guide module 13.
Specifically, in this embodiment, the terminal acquisition module 21 is a terminal acquisition device and is configured to collect user operation information output by a set-top box of the user in a region under jurisdiction, the video interface module 22 is a video interface adapter and is configured to acquire video-on-demand information of the user, and the program interface module 23 is a program interface adapter and is configured to acquire channel program information of the user and synchronize program information of each channel.
In a preferred embodiment of the present invention, the application layer 4 comprises:
a real-time analysis module 41, for processing to obtain a real-time viewing information according to the user operation information, the video-on-demand information and the channel program information, and including the real-time viewing information in the viewing comprehensive information;
a schedule analysis module 42, configured to process each user operation information, each video-on-demand information, and each channel program information within a first preset time range to obtain a schedule viewing information, and include the schedule viewing information in the viewing comprehensive information;
and an incoming and outgoing analysis module 43, configured to count the number of incoming and outgoing people and corresponding incoming and outgoing programs of multiple channels according to the user operation information, the video-on-demand information, and the program information of each channel within a second preset time range, and include the number of incoming and outgoing people and the incoming and outgoing programs in the viewing comprehensive information.
In a preferred embodiment of the present invention, the real-time analysis module 41 includes:
a first real-time analysis unit 411, configured to respectively process, according to the user operation information, the video-on-demand information, and the channel program information, to obtain a real-time channel list and a real-time program list, where the real-time channel list and the real-time program list are included in the real-time viewing information;
a second real-time analysis unit 412, configured to respectively process the user operation information, the video-on-demand information, and the program information of each channel to obtain a real-time audience rating, a real-time audience rating of each channel, and a real-time audience rating of a plurality of programs, and to include the real-time audience rating in the real-time audience information.
In a preferred embodiment of the present invention, the periodic analysis module 42 includes:
a first scheduled analysis unit 421, configured to process each user operation information, each video-on-demand information, and each channel program information within a preset time range to obtain a scheduled channel list and a scheduled program list, respectively, and include the scheduled channel list and the scheduled program list in the scheduled viewing information;
a second periodic analysis unit 422, configured to process each user operation information, each video-on-demand information, and each channel program information within a preset time range to obtain a scheduled audience number, a per-person audience duration of each channel, a scheduled audience rating of each channel, and a periodic audience rating of multiple programs, and to include the scheduled audience number, the per-person audience duration, the per-person audience rating of each channel, and the periodic audience rating of multiple programs in the real-time audience information.
Specifically, in this embodiment, the real-time analysis module 41 provides real-time channel analysis and real-time program analysis, the periodic analysis module 42 provides periodic channel analysis and periodic program analysis, the real-time analysis module 41 and the periodic analysis module 42 provide a channel ranking list and a program ranking list together, the inflow and outflow analysis module 43 provides inflow and outflow statistical analysis, and in addition, the system can also provide playback data analysis and audience report analysis, and an operator can view analysis results through the smart screen.
The method comprises the steps that analysis results of channel real-time analysis are inquired according to product lines, regions, channel types and whether the channels pay or not, corresponding analysis contents are viewing results of the first ten channels displayed in a chart form and viewing results of all the channels displayed in a data list form from high to low in rank, and the viewing results comprise channel names, programs, real-time user numbers, viewing indexes, real-time market share and whether the channels pay or not;
the query conditions of the analysis results of the real-time program analysis are product lines, regions, program names, starting time and ending time, the corresponding analysis contents are viewing results of the first ten programs displayed in a chart form and viewing results of all programs displayed in a data list form from high to low, and the viewing results comprise program names, broadcasting time, channels where the programs are located, the number of real-time users, the live broadcast time, the per-person viewing time, viewing indexes and real-time market share;
the query conditions of the channel ranking list are a product line, a region, a channel type, a channel name, starting time, ending time, a time period and whether to pay, the corresponding analysis contents are a daily channel list, a week channel list and a monthly channel list, ranking of all channels is shown from high to low in a data list form, and the ranking contents comprise dates, channels, direct broadcast times, the number of watching users, direct broadcast time, per-person watching time, per-time watching time, audience rating indexes, market share and whether to pay;
the query conditions of the program ranking list are a product line, a region, program names, channel names, starting time, ending time and time periods, the corresponding analysis contents are a daily program list, a weekly program list and a monthly program list, the ranking of all programs is displayed in a data list form from high to low, and the ranking contents comprise programs, broadcasting time, channels, the number of watching users, the live broadcasting time, the per-person watching time, watching indexes and market share;
the query conditions of the analysis results of the channel periodic analysis comprise product lines, regions, starting time, ending time and channel names, the corresponding analysis contents comprise analysis on time, day, week and month, a result trend graph is displayed in a graph form, and the audience rating results of the channels are displayed in a data list form from high to low, wherein the audience rating results comprise dates, channels, direct broadcast times, the number of watching users, direct broadcast time, per-person watching time, per-time watching time, audience rating indexes and market share;
the query conditions of the analysis results of the program periodic analysis are product lines, regions, programs, channel names, broadcasting time, viewing indexes and daily market share, the corresponding analysis contents are viewing results of displaying a viewing index graph in a chart form and displaying the programs in a data list form from high to low, and the viewing results comprise program names, channel names, broadcasting time, the number of viewing users, live broadcast time, per-capita viewing time, viewing indexes and daily market share;
the query conditions of the analysis results of the inflow and outflow statistical analysis are product lines, regions, programs, channel names and broadcasting time, the corresponding analysis contents provide inflow and outflow analysis results of the channels or the programs in the selected time period for displaying in a chart form, and the analysis results comprise outflow time, outflow channels/programs, inflow channels/programs and audience and outflow ratio.
Preferably, the analysis result of the playback data analysis also supports presentation according to channel dimensions, and supports custom query of time, region, type and the like.
Preferably, the system outputs the audience report on the basis of analyzing the television audience rating big data, wherein the audience report comprises image-text documents, long plates matched with mobile phone public numbers or webpage reading, cleaned television audience rating big data, data indexes and other report forms.
Specifically, in this embodiment, through audience share and inflow and outflow analysis of channels and programs, differences in audience share of each satellite and channels of the same type can be compared horizontally, audience share distribution of the channel in a time dimension can also be compared vertically, an important basis is provided for a broadcasting organization in optimizing and arranging channel programs, arrival rates and influence ranges of the channels and the programs are improved through continuous optimization and improvement, an important reference is provided for a program development department to a new program production direction, and finally channel competitiveness and a program production level are improved.
Preferably, common characteristics and individual preference of a user group can be accurately found through user portrait analysis and behavior path analysis based on broadcasting and television receiving big data, and meanwhile, the big data technology can be used for efficiently processing mass data and providing an intelligent analysis function.
Preferably, the system is developed based on JAVA language, and a high-performance remote object service engine (Hpro) is used to meet the requirements of high-performance remote calling, service and service management capability.
Preferably, the analysis of the channels can feed back the viewing change condition according to the viewing index and the market share curve of the appointed time slot of the corresponding channel, the viewing and operation effects of the user top channel are reflected through interactive top channel viewing analysis, the related operation diversion effect is visually displayed by comparing the data of the historical statistical period, the global viewing condition of the same time slot is displayed by comparing other channels of the same time slot, and the viewing ranking, the viewing trend and the like of the analysis object are displayed by pictures and texts when the appointed channel and the type channel are analyzed.
Preferably, the analysis of the programs can output specified time period and area, total province and total art type live broadcast audience data, including area and total art first ten, golden time period audience performance and playback performance in the late week, and the like, analyze and compare audience difference among the programs, and also can compare the TV series with the previous total art, and analyze which type of program influences audience better so as to obtain the overlap ratio and flow behavior of the user among the programs of the same type.
Specifically, in this embodiment, the smart screen 6 is a big data analysis integrated screen, and can display viewing integrated information, including: the method comprises the steps of currently playing programs of a local channel, the number of samples, the total number of households, the live broadcast audience rating of a specified channel, the number of people watching the channel, the comparison of data of the same type of channel, the playback market share, the daily average audience rating, the program type ratio and the like.
Preferably, the big data analysis integrated screen is mainly divided into real-time viewing data, historical day data, live program information and a secondary screen. The top of the middle area is used for showing a channel which is currently live and corresponding program information, the middle of the middle area is used for showing three parts of real-time audience rating, channel arrangement and program arrangement, and simultaneously supports the contrast presentation in three dimensions of local, central and satellite views, the left area is used for showing data overview, the number of users live in real time of the channel and the real-time inflow and outflow conditions, and the right area is used for showing date, daily audience rating, per-capita watching duration and playback market share.
Preferably, the intelligent screen 6 can be upgraded to a large-screen cockpit, so that various index data can be displayed more intuitively and comprehensively.
Specifically, in this embodiment, the system may further provide an audience rating abnormality warning service, perform a warning when the data layer 1 cannot collect data, perform a warning when the audience rating is abnormally fluctuated, perform a warning when the data is abnormally synchronized, and perform a warning when the user has no access log record for more than 24 hours.
In a preferred embodiment of the present invention, an intelligent screen analysis method based on big data of television and radio reception is applied to an intelligent screen analysis system, as shown in fig. 2, and specifically includes the following steps:
step S1, the intelligent screen analysis system collects a user operation information, a video on demand information and a channel program information of a plurality of users in real time and outputs the information contained in the television big data;
step S2, the intelligent screen analysis system analyzes and processes the big data of the television and radio to obtain and output comprehensive information of the television and radio;
step S3, the smart screen analysis system outputs the viewing information to a smart screen for visual display.
In a preferred embodiment of the present invention, step S2 includes:
the intelligent screen analysis system processes the operation information of each user, the video-on-demand information and the program information of each channel to obtain real-time viewing information which comprises a real-time channel list, a real-time program list, a real-time viewing number, a real-time viewing rate of each channel and a real-time viewing rate of a plurality of programs and is contained in the viewing comprehensive information.
In a preferred embodiment of the present invention, step S2 further includes:
the intelligent screen analysis system processes the user operation information, the video on demand information and the channel program information in a first preset time range to obtain scheduled watching information which is contained in the watching comprehensive information, wherein the scheduled watching information comprises a scheduled channel list, a scheduled program list, a scheduled watching number, a per-person watching duration of each channel, a scheduled watching rate of each channel and a scheduled watching rate of a plurality of programs.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides an intelligent screen analytic system based on big data is received to broadcasting and TV, its characterized in that includes:
the data layer is used for acquiring user operation information, video on demand information and channel program information of a plurality of users in real time, and outputting the information contained in the broadcasting and television receiving big data;
the adaptation layer runs above the data layer and is used for receiving the television and television receiving big data;
the data storage layer runs above the adaptation layer and is used for storing the television and television viewing big data;
the application layer runs above the data storage layer and is used for analyzing and processing the big television watching data according to a control signal to obtain and output comprehensive watching information;
and the presentation layer runs above the application layer, and an operator outputs the control signal and outputs the viewing comprehensive information to an intelligent screen for visual display through the presentation layer.
2. The smart screen analysis system of claim 1, further comprising a verification layer running above the presentation layer for performing password verification, face verification, authority verification and electronic signature verification on the operator, wherein the operator can enter the presentation layer after passing the password verification, the face verification, the authority verification and the electronic signature verification.
3. The smart screen analysis system of claim 1, wherein the data layer comprises:
the plurality of set-top data modules are used for respectively acquiring and outputting the user operation information of the corresponding users;
the plurality of video-on-demand modules are used for respectively acquiring and outputting the video-on-demand information of corresponding users;
and the program guide modules are used for respectively acquiring and outputting the channel program information of the corresponding users.
4. The smart screen analysis system of claim 3, wherein the adaptation layer comprises:
the terminal acquisition module is used for receiving the user operation information output by each set top data module;
the video interface module is used for receiving the video-on-demand information output by each video-on-demand module;
and the program interface module is used for receiving the channel program information output by each program guide module.
5. The smart screen analysis system of claim 1, wherein the application layer comprises:
a real-time analysis module, for processing to obtain a real-time viewing information according to each user operation information, each video-on-demand information and each channel program information, and including the real-time viewing information in the viewing comprehensive information;
a schedule analysis module, configured to process each piece of user operation information, each piece of video-on-demand information, and each piece of channel program information within a first preset time range to obtain schedule viewing information, and include the schedule viewing information in the viewing comprehensive information;
and the inflow and outflow analysis module is used for counting inflow and outflow people numbers of a plurality of channels and corresponding inflow and outflow programs according to the user operation information, the video on demand information and the channel program information in a second preset time range and containing the inflow and outflow people numbers and the inflow and outflow programs in the comprehensive viewing information.
6. The smart screen analysis system of claim 5, wherein the real-time analysis module comprises:
a first real-time analysis unit, configured to process, according to each piece of user operation information, each piece of video-on-demand information, and each piece of channel program information, respectively to obtain a real-time channel list and a real-time program list, where the real-time channel list and the real-time program list are included in the real-time viewing information;
and the second real-time analysis unit is used for respectively processing the user operation information, the video on demand information and the channel program information to obtain a real-time audience number, a real-time audience rating of each channel and a real-time audience rating of a plurality of programs, and the real-time audience rating is contained in the real-time audience information.
7. The smart screen analysis system of claim 5, wherein the periodic analysis module comprises:
a first periodic analysis unit, configured to process each user operation information, each video-on-demand information, and each channel program information within the preset time range to obtain a periodic channel list and a periodic program list, respectively, and include the periodic program list and the periodic program list in the periodic viewing information;
and the second periodic analysis unit is used for respectively processing the user operation information, the video on demand information and the channel program information in the preset time range to obtain a scheduled audience number, a per-person audience duration of each channel, a scheduled audience rating of each channel and a scheduled audience rating of a plurality of programs, and the scheduled audience rating is contained in the real-time audience information.
8. An intelligent screen analysis method based on television audience rating big data, which is applied to the intelligent screen analysis system of any one of claims 1-7, and comprises the following steps:
step S1, the intelligent screen analysis system collects a user operation information, a video on demand information and a channel program information of a plurality of users in real time and outputs the information contained in the television big data;
step S2, the intelligent screen analysis system analyzes and processes the big data of the television and radio to obtain and output comprehensive television information;
and step S3, the intelligent screen analysis system outputs the comprehensive viewing information to an intelligent screen for visual display.
9. The smart screen analysis method of claim 8, wherein the step S2 includes:
the intelligent screen analysis system processes the user operation information, the video on demand information and the channel program information to obtain real-time viewing information which comprises a real-time channel list, a real-time program list, a real-time viewing number, a real-time viewing rate of each channel and a real-time viewing rate of a plurality of programs, and the real-time viewing information is contained in the viewing comprehensive information.
10. The smart screen analysis method of claim 9, wherein the step S2 further comprises:
the intelligent screen analysis system processes the user operation information, the video-on-demand information and the channel program information in a first preset time range to obtain scheduled watching information which is contained in the watching comprehensive information, wherein the scheduled watching information comprises a scheduled channel list, a scheduled program list, a scheduled watching number, a per-person watching duration of each channel, a scheduled watching rate of each channel and a scheduled watching rate of a plurality of programs.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105407364A (en) * | 2015-10-27 | 2016-03-16 | 四川长虹电器股份有限公司 | Channel comprehensive competitiveness realization method based on intelligent television rating system |
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| CN201846442U (en) * | 2010-08-17 | 2011-05-25 | 李典 | Television station and television program audience rating statistical system thereof |
| CN102368831A (en) * | 2011-12-01 | 2012-03-07 | 内蒙古中大传媒发展有限公司 | Survey method for audience rating of digital television users |
| CN105407364A (en) * | 2015-10-27 | 2016-03-16 | 四川长虹电器股份有限公司 | Channel comprehensive competitiveness realization method based on intelligent television rating system |
| CN109600640A (en) * | 2017-09-30 | 2019-04-09 | 北京国双科技有限公司 | A kind of appraisal procedure and device of program audience competitiveness |
| CN110248246A (en) * | 2019-05-14 | 2019-09-17 | 平安科技（深圳）有限公司 | Data analysing method, device, computer equipment and computer readable storage medium |
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