CN107404658A - A kind of interactive Web TV system and user data real time acquiring method - Google Patents
A kind of interactive Web TV system and user data real time acquiring method Download PDFInfo
- Publication number
- CN107404658A CN107404658A CN201610338286.3A CN201610338286A CN107404658A CN 107404658 A CN107404658 A CN 107404658A CN 201610338286 A CN201610338286 A CN 201610338286A CN 107404658 A CN107404658 A CN 107404658A
- Authority
- CN
- China
- Prior art keywords
- data
- iptv
- log information
- real
- storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
-
- 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
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23103—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion using load balancing strategies, e.g. by placing or distributing content on different disks, different memories or different servers
-
- 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
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23109—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion by placing content in organized collections, e.g. EPG data repository
-
- 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
-
- 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
-
- 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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
-
- 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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Information Transfer Between Computers (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention discloses a kind of interactive Web TV system and user data real time acquiring method, it is related to the fields such as IPTV user managements, real time information sampling.IPTV IPTV system disclosed by the invention, including：The real-time acquisition module of daily record, the log information for meeting setting form in IPTV server is gathered in real time；Data analysis module, the log information of daily record real-time acquisition module collection is calculated and analyzed, obtained analysis result and store to data storage and enquiry module；Data storage and enquiry module, the analysis result that log information and the data analysis module to the collection of the daily record real-time acquisition module obtain carries out distributed storage, and provides inquiry.The invention also discloses a kind of IPTV IPTV system user data real time acquiring method.Technical scheme, in the case where not changing existing IPTV system framework, realize real-time collection, storage and the analysis of IPTV user data.
Description
Technical field
Store and analyze the present invention relates to IPTV (IPTV) user management, real time information sampling, big data,
Using etc. field, more particularly to a kind of IPTV system and user data obtain scheme in real time.
Background technology
By the end of the end of the year 2015, domestic IPTV numbers of users are more than 50,000,000, it is contemplated that number of users incited somebody to action hundred million within 2016.Obtain
The real time data of so huge customer group all has ten for interaction, system maintenance etc. between precision marketing, real-time recommendation, user
Divide important meaning.
IPTV user produces the user data of magnanimity daily, but because IPTV system framework is different, set top box, service
The manufacturers such as system differ so that these data distributions are scattered, and structure differs, and collection is very big with the difficulty of analysis and utilization.With big
Concept data rises and correlation technique, standard it is perfect, collection, analysis to these data are possibly realized with utilization.
Because current IPTV system does not record explicitly to the data such as the real-time online state of user and viewing content, nothing
Method obtains the information such as real-time status and the viewing content of user directly from current service data storehouse；Simultaneously because IPTV system by
Multiple block combiners such as CDN, EPG, CP form, and it is to be verified that the variation to existing structure will expend huge and effect；Therefore, how
Adding to turn into the real-time acquisition function of IPTV user data in the case where not changing existing system framework needs what is solved to ask
Topic.
The content of the invention
The invention discloses a kind of IPTV system and user data real time acquiring method, can solve existing IPTV system frame
Under structure can not user in real data the problem of.
The invention discloses a kind of IPTV IPTV system, including：
The real-time acquisition module of daily record, the log information for meeting setting form in IPTV server is gathered in real time；
Data analysis module, the log information of daily record real-time acquisition module collection is calculated and analyzed, is analyzed
As a result and store to data storage and enquiry module；
Data storage and enquiry module, to the log information and the data point of the collection of the daily record real-time acquisition module
The analysis result that analysis module obtains carries out distributed storage, and provides inquiry.
Alternatively, in said system, the real-time acquisition module of daily record comprise at least a data acquisition service end and
The data collection client disposed respectively on each IPTV system server, wherein：
Data collection client on IPTV system server is deployed in respectively, gathers meet on IPTV system server in real time
The log information of form is set, and is sent to data acquisition service end；
The data acquisition service end, the log information that data collection client gathers is respectively transmitted to the data point
Analyse module and data storage and enquiry module.
Alternatively, in said system, the data acquisition service end, the log information that each data collection client is gathered
Merge into text and be transferred to the data storage and enquiry module, wherein, for from different IPTV system servers
Log information, by the file standard of different-format before merging.
Alternatively, in said system, the data storage and enquiry module, the day is stored using distributed file system
The log information of the real-time acquisition module collection of will, the storage of the analysis result of data is carried using distributed experiment ＆ measurement system, and
The real-time query that rest interfaces realize data is provided.
The invention also discloses a kind of IPTV IPTV system user data real time acquiring method, including：
The log information for meeting setting form on each IPTV system server is gathered in real time and carries out distributed storage；
Log information on each IPTV system server of collection is calculated and analyzed, analysis result is obtained and goes forward side by side
Row distributed storage；
When receiving user's query statement, the data corresponding to inquiry from the analysis result of storage.
Alternatively, in the above method, the log information for meeting setting form on each IPTV system server is gathered in real time
Including：
Dispose a data collection client respectively on each IPTV system server, each data collection client is real
When gather meet on the IPTV system server setting form log information；
The log information of collection is sent to data acquisition service end by all data collection clients.
Alternatively, in the above method, the log information of collection is calculated and analyzed, analysis result is obtained and is divided
The process of cloth storage includes：
The log information gathered on each IPTV system server is merged into text to be stored, wherein, for
Log information from different IPTV system servers, by the file standard of different-format before merging.
Alternatively, in the above method, collection in real time, which meets the information of setting form and carries out distributed storage, to be referred to：
The information for meeting setting form gathered using distributed file system storage；
Analysis result progress distributed storage is obtained to refer to：
Using the storage of the analysis result of distributed experiment ＆ measurement system carrying data.
Technical scheme, in the case where not changing existing IPTV system framework, realize the reality of IPTV user data
When collection, storage and analysis.
Brief description of the drawings
Fig. 1 is that data obtain scheme overall architecture schematic diagram in real time in the embodiment of the present invention；
Fig. 2 is that real-time data collection of the embodiment of the present invention flows to schematic diagram；
Fig. 3 is distributed file system schematic diagram of the embodiment of the present invention；
Fig. 4 is distributed database structure schematic diagram of the embodiment of the present invention；
Fig. 5 is that user of the embodiment of the present invention watches data analysis schematic diagram；
Fig. 6 is that user of the embodiment of the present invention watches data application exemplary plot；
Fig. 6 (a) is online user's distribution proportion schematic diagram；
Fig. 6 (b) is day part number of users schematic diagram；
Fig. 6 (c) is direct broadcast band rating seniority among brothers and sisters schematic diagram；
Fig. 6 (d) is request program rating seniority among brothers and sisters schematic diagram.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, below in conjunction with embodiment pair
Technical solution of the present invention is described in further detail.It should be noted that in the case where not conflicting, embodiments herein and
Feature in embodiment can be arbitrarily mutually combined.
Embodiment 1
The present embodiment provides a kind of IPTV system, mainly includes three parts：The real-time acquisition module of daily record, data analysis mould
Block, data memory module and enquiry module.
The real-time acquisition module of daily record, is divided into data collection client and data acquisition service end, mainly by IPTV again
The data collection client disposed on system associated server, the daily record specified is monitored in real time and meets the letter of setting form
Breath, and it is sent to data acquisition service end.
Data analysis module, the data to come to the collection of daily record real-time acquisition module are calculated and analyzed, needed
Data and store to data storage and enquiry module.
It is noted that before the data of collection are calculated and analyzed, the data of different-format are also needed into
Row normalizing operation, and all data to being gathered carry out collecting operation etc., and these operations are mainly follow-up calculating
Prepared with analysis operation.
Data storage and enquiry module can use distributed file system and distributed experiment ＆ measurement system to be stored, and
Inquiry is provided.
Wherein, distributed file system mainly stores original log and information of the real-time acquisition module collection of daily record etc., and
Distributed experiment ＆ measurement system, then storage of the main carrying to the analysis result of mass data, and rest interfaces are provided and realize data
Real-time query.
The implementation to said system is described in further detail below in conjunction with the accompanying drawings：
Fig. 1 obtains the system architecture of scheme, the content being related to for the present embodiment that frame is irised out for data in real time.
The real-time acquisition module of daily record is divided into data collection client and data acquisition service end two parts, related in IPTV
Installation data gathers client on each server, and configuration needs the journal format that gathers, the correlation in real-time monitoring server
Daily record, the daily record needed is gathered according to predetermined form, be packaged into the end that JSON objects are sent to data acquisition service end agreement
Mouthful；The port of data acquisition service end monitoring agreement, the data of the port are gathered, by the data storage collected to data storage
And in the distributed storage data-base cluster of enquiry module.
After data analysis module the processing such as is extracted, analyzed using Distributed Calculation cluster to the data file collected
File is stored in distributed experiment ＆ measurement system in an indexed fashion.
Distributed experiment ＆ measurement system provides the interface externally inquired about, and specific Data application system can be connect by these
Mouthful inquire about the real time data of collection.In addition, the data file and data directory that are stored in distributed experiment ＆ measurement system are also
Can further it be handled for other data digging systems.
Illustrate the concrete operating principle of said system so that user watches program data in real time as an example again below.
First, data acquisition
It is real-time data collection flow direction shown in Fig. 2：
(1) the viewing operation of user can be recorded in server user and service in ticket daily record, dispose data collection client
On the server, the journal format gathered is needed with regular expression configuration.
(2) real-time change of data collection client sequential monitoring user service ticket daily record, collection and regular expression
The daily record of matching, collection sample are：
userid|programcode|programname|begintime|endtime|type
(3) for meeting the log recording of sample, client is gathered and is encapsulated as JSON objects, is sent to service end
Monitoring port (such as 45518), encapsulation format is as follows：
{
“userid”:ID,
“programcode”:Program encodes,
“programname”:Programm name,
“begintime”:Time started,
“endtime”:End time,
“type”:Type (program request/live) is played,
}
(4) service end Monitoring Data collection port (45518), it is distributed that the data of collection are merged into text deposit
File system and ES indexes.
It should be noted that for the log information from different server, it is also necessary to the configuration log standard before merging
Change module, by the file standard of different-format.
2nd, data storage
Data, which are watched, for the user collected uses distributed storage：Initial data (daily record gathered in real time and letter
Breath) it can be stored in a manner of file in the hard disk of distributed file system, and data results (i.e. data analysis module
Calculate the analysis result that analysis obtains) store in an indexed fashion in distributed experiment ＆ measurement system.
These data can be used as final result to be inquired about for specific Data application system, can also be as the sample of full dose
Data are further analysed in depth.
Specifically, distributed file system can will be fixed on some file system in some place, expand to any more
Individual place/multiple file system, numerous nodes form a Filesystem Network, as shown in Figure 3.Each node can be distributed
In different places, the communication between node and data transfer are carried out by network.So, when using distributed file system,
It need not be concerned about which node is data be stored on or be from which node from acquisition, it is only necessary to as using local file
System equally manages and the data in storage file system.Distributed file system solves storage and the reading side of mass data
The restricted problem in face, while the mode such as use backup, mirror image ensure that the safety of data.
, can be to being deposited with indexed mode and distributed experiment ＆ measurement system be as shown in figure 4, it can provide a variety of external interfaces
The data of storage wherein carry out the query composition of similar database mode, are more easily data application service.
3rd, data analysis
After realizing that user watches the collection and storage of program real time data in the manner described above, using the full dose data as sample
This, can be collected with being further analyzed, obtain required indices, the sample sometimes collected needs to associate certain
To be more easily applied to every analysis, these are required for being handled in data analysis phase a little data.
It is as follows that user watches the raw data format that data acquisition is arrived：
{
“userid”:ID,
“programcode”:Program encodes,
“programname”:Programm name,
“begintime”:Time started,
“endtime”:End time,
“type”:Type (program request/live) is played,
}
(1) associated data
Need, by one programtype field of the data correlation, to represent the type of the program, such as film, TV play, body
Educate, entertain, military affairs etc., it is necessary to the corresponding relation file of the program coding and program category of a full dose, utilize this corresponding to close
It is that file watches data addition programtype fields for user；
(2) macroscopic view viewing data analysis in real time
Current online user number can be obtained by watching data in real time according to user；
By data according to play type carry out classification polymerization can be to obtain current live number of users and program request number of users；
By data according to play type and program carry out classification polymerization can be to obtain the viewership of current each program.
The acquisition of these macro-datas for understanding the viewership, real time content adjustment etc. of each content of each channel all in real time
There is actual combat function definition.
(3) microcosmic viewing data analysis in real time
Specific to user level, picture can be carried out to each user by carrying out analysis according to user for user's viewing data
Picture.
The viewing time of user is polymerize, the viewing time distribution of user can be obtained；
Viewing program category to user polymerize, and can obtain the viewing hobby of user；
These micro-datas improve intelligent recommendation system, orientation launches advertisement etc. for more accurately recommending popular program
There is critically important reference value.
Whole data analysis process such as Fig. 5：
Using MapReduce computation module, Map (mapping) and Reduce (reduction) processing is carried out to the data of full dose, obtained
To corresponding result.
4th, using example
Real time data and data inputting after treatment to user's viewing to after distributed experiment ＆ measurement system,
Data therein are inquired about with the REST interfaces provided using distributed data base, the real-time indicators for obtaining correlation are applied to
In operation actual IPTV (as shown in Figure 6).
Embodiment 2
The present embodiment provides a kind of method that IPTV IPTV system user data obtains in real time, and its is responsible
The system that above-described embodiment 1 provides is realized.This method mainly comprises the following steps：
Step 100, in real time monitoring, collection meet the log information of setting form and carry out distributed storage；
Specifically, the step is mainly that installation data collection client, configuration need on the related each servers of IPTV
The journal format to be gathered, the correlation log in real-time monitoring server, the daily record needed is gathered according to predetermined form.
And for the initial data of collection, that is, the log information gathered can be stored using distributed file system,
Wherein, distributed file system can will be fixed on some file system in some place, expand to any number of places/multiple
File system, numerous nodes form a Filesystem Network.Each node can be distributed in different places, pass through network
Carry out the communication between node and data transfer.
It should be noted that carried out, it is necessary to which the daily record and information that are gathered on each IPTV system server are merged into text
Storage, and for the log information from different IPTV system servers, also needed to the files-designated of different-format before merging
Standardization.
Step 200, the daily record of collection and information are calculated and analyzed, obtained analysis result and carry out distributed storage
Deposit；
Wherein, calculate with first the data of collection can be standardized, collected etc. with operation before analysis.In addition, obtain
Analysis result can use distributed experiment ＆ measurement system store.
Step 300, when receiving user's query statement, from the analysis result of storage inquiry corresponding to data.
Because the above method can be realized based on the system that above-described embodiment 1 provides, therefore other for being directed to the method are retouched in detail
The corresponding contents that can be found in above-described embodiment 1 are stated, will not be repeated here.
From above-described embodiment as can be seen that technical scheme is adopted by disposing data in each module servers of IPTV
Collect client-side program, the correlation log of real-time acquisition system generation, extract required various user data, and deposit with reference to distribution
The storage and analysis of gathered data are realized in storage with technologies such as calculating, the user behavior analysis for being IPTV, the analysis of real-time rating, business
Increment, advertisement pushing etc. provide data supporting, IPTV system is provided the user more intelligent service.
Whole scheme has that implementation cost is low, do not change the existing frameworks of IPTV, do not influence IPTV service operation, data are accurate
Reliably, the features such as scalability is strong, it is the once favourable exploration that data acquisition technology is applied with big data technology in IPTV fields.
One of ordinary skill in the art will appreciate that all or part of step in the above method can be instructed by program
Related hardware is completed, and described program can be stored in computer-readable recording medium, such as read-only storage, disk or CD
Deng.Alternatively, all or part of step of above-described embodiment can also be realized using one or more integrated circuits.Accordingly
Ground, each module/unit in above-described embodiment can be realized in the form of hardware, can also use the shape of software function module
Formula is realized.The application is not restricted to the combination of the hardware and software of any particular form.
It is described above, it is only the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all this
Within the spirit and principle of invention, any modification, equivalent substitution and improvements done etc., the protection model of the present invention should be included in
Within enclosing.
Claims (8)
- A kind of 1. IPTV IPTV system, it is characterised in that including：The real-time acquisition module of daily record, the log information for meeting setting form in IPTV server is gathered in real time；Data analysis module, the log information of daily record real-time acquisition module collection is calculated and analyzed, obtains analysis result And store to data storage and enquiry module；Data storage and enquiry module, log information and the data analysis mould to the collection of the daily record real-time acquisition module The analysis result that block obtains carries out distributed storage, and provides inquiry.
- 2. the system as claimed in claim 1, it is characterised in thatThe real-time acquisition module of daily record comprises at least a data acquisition service end and divided on each IPTV system server The data collection client do not disposed, wherein：Data collection client on IPTV system server is deployed in respectively, gathers meet setting on IPTV system server in real time The log information of form, and it is sent to data acquisition service end；The data acquisition service end, the log information that data collection client gathers is respectively transmitted to the data analysis mould Block and data storage and enquiry module.
- 3. system as claimed in claim 2, it is characterised in thatThe data acquisition service end, the log information that each data collection client gathers is merged into text and is transferred to institute Data storage and enquiry module are stated, wherein, will not before merging for the log information from different IPTV system servers With the file standard of form.
- 4. the system as described in any one of claims 1 to 3, it is characterised in thatThe data storage and enquiry module, the day of the real-time acquisition module collection of the daily record is stored using distributed file system Will information, the storage of the analysis result of data is carried using distributed experiment ＆ measurement system, and is provided rest interfaces and realized data Real-time query.
- A kind of 5. IPTV IPTV system user data real time acquiring method, it is characterised in that including：The log information for meeting setting form on each IPTV system server is gathered in real time and carries out distributed storage；Log information on each IPTV system server of collection is calculated and analyzed, analysis result is obtained and is divided Cloth stores；When receiving user's query statement, the data corresponding to inquiry from the analysis result of storage.
- 6. method as claimed in claim 5, it is characterised in that gather meet setting lattice on each IPTV system server in real time The log information of formula includes：Dispose a data collection client respectively on each IPTV system server, each data collection client is adopted in real time Collect the log information for meeting setting form on the IPTV system server；The log information of collection is sent to data acquisition service end by all data collection clients.
- 7. method as claimed in claim 6, it is characterised in that the log information of collection is calculated and analyzed, is divided Analysis result simultaneously carries out the process of distributed storage and included：The log information gathered on each IPTV system server is merged into text to be stored, wherein, for from The log information of different IPTV system servers, by the file standard of different-format before merging.
- 8. method as claimed in claim 5, it is characterised in that collection in real time meets the information of setting form and carries out distribution Storage refers to：The information for meeting setting form gathered using distributed file system storage；Analysis result progress distributed storage is obtained to refer to：Using the storage of the analysis result of distributed experiment ＆ measurement system carrying data.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610338286.3A CN107404658A (en) | 2016-05-19 | 2016-05-19 | A kind of interactive Web TV system and user data real time acquiring method |
| PCT/CN2017/085168 WO2017198227A1 (en) | 2016-05-19 | 2017-05-19 | Interactive internet protocol television system and real-time acquisition method for user data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610338286.3A CN107404658A (en) | 2016-05-19 | 2016-05-19 | A kind of interactive Web TV system and user data real time acquiring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107404658A true CN107404658A (en) | 2017-11-28 |
Family
ID=60324779
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610338286.3A Pending CN107404658A (en) | 2016-05-19 | 2016-05-19 | A kind of interactive Web TV system and user data real time acquiring method |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN107404658A (en) |
| WO (1) | WO2017198227A1 (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463490A (en) * | 2017-08-15 | 2017-12-12 | 四川长虹电器股份有限公司 | A kind of cluster daily record centralized collection method being applied in platform development |
| CN109800223A (en) * | 2018-12-12 | 2019-05-24 | 平安科技（深圳）有限公司 | Log processing method, device, electronic equipment and storage medium |
| CN110276543A (en) * | 2019-06-18 | 2019-09-24 | 黄山市柒日原叶生物科技咨询有限公司 | A kind of data based in internet supply-chain management system deep-cut analysis method |
| CN110677443A (en) * | 2018-07-02 | 2020-01-10 | 中兴通讯股份有限公司 | Data transmitting and receiving method, transmitting end, receiving end, system and storage medium |
| CN111258979A (en) * | 2020-01-16 | 2020-06-09 | 山东大学 | Cloud protection log system and working method thereof |
| CN113542816A (en) * | 2020-04-20 | 2021-10-22 | 上海文广互动电视有限公司 | Broadcast television network data analysis system |
| CN114328762A (en) * | 2021-12-29 | 2022-04-12 | 北京连屏科技有限公司 | Big data processing method |
| CN114915847A (en) * | 2021-12-29 | 2022-08-16 | 天翼数字生活科技有限公司 | IPTV intelligent terminal-oriented data preprocessing method and system |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978291A (en) * | 2017-12-27 | 2019-07-05 | 广东电网有限责任公司电力调度控制中心 | A kind of Multifunctional power network dispatching management information system |
| CN110569179A (en) * | 2018-06-06 | 2019-12-13 | 富晋精密工业（晋城）有限公司 | Data acquisition system and data acquisition method |
| CN109408353B (en) * | 2018-11-13 | 2022-02-18 | 郑州云海信息技术有限公司 | Storage partition utilization rate and IOPS analysis method, system and terminal equipment |
| CN110188073A (en) * | 2019-04-19 | 2019-08-30 | 平安科技（深圳）有限公司 | Method, apparatus, storage medium and the computer equipment of In vivo detection log parsing |
| CN111506660B (en) * | 2020-04-21 | 2023-03-31 | 瑞纳智能设备股份有限公司 | Heat supply network real-time data warehouse system |
| CN111753008A (en) * | 2020-06-30 | 2020-10-09 | 珠海迈越信息技术有限公司 | Set top box viewing method and system based on big data analysis |
| CN112445937B (en) * | 2020-11-30 | 2023-11-14 | 成都新潮传媒集团有限公司 | Json log generation method and device and computer readable storage medium |
| CN114915808A (en) * | 2021-12-06 | 2022-08-16 | 天翼数字生活科技有限公司 | System and method for realizing IPTV advertisement third party monitoring and broadcasting |
| CN114422227B (en) * | 2022-01-13 | 2022-08-12 | 北京信息职业技术学院 | Data acquisition and analysis system based on network security |
| CN115145785A (en) * | 2022-05-26 | 2022-10-04 | 浙江中控技术股份有限公司 | Data monitoring method, system and medium for distributed control system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102348131B (en) * | 2010-07-26 | 2017-03-22 | 中兴通讯股份有限公司 | IPTV system and viewing information statistical method thereof |
| CN102724063B (en) * | 2012-05-11 | 2016-12-07 | 北京邮电大学 | Log acquisition server and packet delivery, Log Clustering method and network |
| CN102855277A (en) * | 2012-07-23 | 2013-01-02 | 中国联合网络通信集团有限公司 | Data center system and data processing method |
| KR101400062B1 (en) * | 2013-03-27 | 2014-05-28 | 주식회사 한국정보기술단 | System of security management for iptv set top box |
| CN104036025A (en) * | 2014-06-27 | 2014-09-10 | 蓝盾信息安全技术有限公司 | Distribution-base mass log collection system |
| CN104113605A (en) * | 2014-07-30 | 2014-10-22 | 浪潮软件股份有限公司 | Enterprise cloud application development monitoring processing method |
-
2016
- 2016-05-19 CN CN201610338286.3A patent/CN107404658A/en active Pending
-
2017
- 2017-05-19 WO PCT/CN2017/085168 patent/WO2017198227A1/en active Application Filing
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107463490A (en) * | 2017-08-15 | 2017-12-12 | 四川长虹电器股份有限公司 | A kind of cluster daily record centralized collection method being applied in platform development |
| CN107463490B (en) * | 2017-08-15 | 2020-06-30 | 四川长虹电器股份有限公司 | Cluster log centralized collection method applied to platform development |
| CN110677443A (en) * | 2018-07-02 | 2020-01-10 | 中兴通讯股份有限公司 | Data transmitting and receiving method, transmitting end, receiving end, system and storage medium |
| CN109800223A (en) * | 2018-12-12 | 2019-05-24 | 平安科技（深圳）有限公司 | Log processing method, device, electronic equipment and storage medium |
| CN110276543A (en) * | 2019-06-18 | 2019-09-24 | 黄山市柒日原叶生物科技咨询有限公司 | A kind of data based in internet supply-chain management system deep-cut analysis method |
| CN111258979A (en) * | 2020-01-16 | 2020-06-09 | 山东大学 | Cloud protection log system and working method thereof |
| CN111258979B (en) * | 2020-01-16 | 2022-04-15 | 山东大学 | Cloud protection log system and working method thereof |
| CN113542816A (en) * | 2020-04-20 | 2021-10-22 | 上海文广互动电视有限公司 | Broadcast television network data analysis system |
| CN114328762A (en) * | 2021-12-29 | 2022-04-12 | 北京连屏科技有限公司 | Big data processing method |
| CN114915847A (en) * | 2021-12-29 | 2022-08-16 | 天翼数字生活科技有限公司 | IPTV intelligent terminal-oriented data preprocessing method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017198227A1 (en) | 2017-11-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107404658A (en) | A kind of interactive Web TV system and user data real time acquiring method | |
| CN107995283B (en) | A kind of data bury the method, equipment and system of point analysis | |
| CN105490854B (en) | Real-time logs collection method, system and application server cluster | |
| CN104424229B (en) | A kind of calculation method and system that various dimensions are split | |
| CN107577805A (en) | A kind of business service system towards the analysis of daily record big data | |
| CN102016840A (en) | System and method for tracking usage | |
| CN110363621B (en) | Order information pushing system based on artificial intelligence technology | |
| US20100088197A1 (en) | Systems and methods for generating remote system inventory capable of differential update reports | |
| CN103414608B (en) | Rapid web flow collection statistical system and method | |
| CN105843876B (en) | Quality evaluation method and device for multimedia resources | |
| CN111459986A (en) | Data computing system and method | |
| CN107729219A (en) | Resource monitoring method, device and terminal based on super fusion storage system | |
| CN105069113A (en) | Data flow real-time visualization method and data flow real-time visualization system | |
| CN103577593A (en) | Method and system for video aggregation based on microblog hot topics | |
| WO2018218059A2 (en) | Systems and methods for providing real-time values determined based on aggregated data from disparate systems | |
| US20190050435A1 (en) | Object data association index system and methods for the construction and applications thereof | |
| US11838343B2 (en) | Asset metadata service | |
| CN105183925A (en) | Content association recommending method and content association recommending device | |
| CN103997662A (en) | Program pushing method and system | |
| CN106797327A (en) | Performed using the message being associated with adaptive bitrate streaming and the media of mobile platform are monitored | |
| Xu et al. | Catch-up TV recommendations: show old favourites and find new ones | |
| CN105704566A (en) | Video recommendation system based on television set top box | |
| KR101981612B1 (en) | Analysis of the results of the influencer marketing implementation service delivery method | |
| CN109062945B (en) | Information recommendation method, device and system for social network | |
| CN113901372A (en) | User behavior data warehouse construction system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20171128 |
|
| WD01 | Invention patent application deemed withdrawn after publication |