CN115834940A - IPTV/OTT end-to-end data reverse acquisition analysis method and system - Google Patents
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Abstract
The invention particularly relates to an IPTV/OTT end-to-end data reverse acquisition analysis method and a system. The IPTV/OTT end-to-end data reverse acquisition and analysis method and system comprise a terminal data reverse acquisition service module, a portrait-level user service module and a full-link remote debugging service module. The IPTV/OTT end-to-end data reverse acquisition analysis method and system solve the problem that an operator cannot acquire full application data by pipelining through a data reverse acquisition service, solve the current situation that content operation does not have complete data support by an image-level user service, solve the problem of responsibility maze through a full-link remote debugging service, improve the control force of the operator on a terminal, promote the family market of the operator to lead to the value from the scale, improve the control force of the operator on the terminal, realize the data-driven operation of IPTV/OTT business, enable the content to be more comprehensive and more convenient, enable the product to be more intelligent in use and enable the after-sale service to be more efficient.
Description
Technical Field
The invention relates to the technical field of communication information, in particular to an IPTV/OTT end-to-end data reverse acquisition analysis method and system.
Background
The intelligent operation of the IPTV/OTT (internet protocol television/internet television) service of the operator needs to be based on the comprehensive operation after integrating the user, the content and the network data. However, the data related to IPTV/OTT has more problems:
(1) Index fragmentation, data management deficiency and data arrangement utilization deficiency;
(2) Data islands, wherein a large amount of network operation and maintenance data are scattered in different systems;
(3) The data source, the probe provides data which are mostly standard data;
(4) The new media and the license plate party give data which is mostly desensitized data;
(5) The dimensionality of data reported by an original probe of the set top box is small.
The problems result in the lack of portrait-level user service capability and accurate recommendation mechanism in the user operation level, the operation of new media/license plate parties, the loss of media asset labels, and the data management becomes an air castle.
Based on the above situation, the invention provides an IPTV/OTT end-to-end data reverse acquisition analysis method and system.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides a simple and efficient IPTV/OTT end-to-end data reverse acquisition and analysis method and system.
The invention is realized by the following technical scheme:
an IPTV/OTT end-to-end data reverse acquisition analysis method is characterized in that: the method comprises the following steps:
step S1, reverse acquisition service of terminal data
The reverse acquisition of terminal data, CDN network data, service system data and Internet related data is realized by two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition, and the problem that operators cannot acquire full application data due to pipelining is solved;
step S2, portrait level user service
User portrayal is performed on the full-scale data which is acquired and is independently stored, and the data value is fully exerted on the full-scale data based on user tag capacity, user grouping capacity, user portrayal capacity and user payment evaluation and analysis capacity;
the fully-collected data is independently stored without relevance, and the image-level user service aims to realize the relevance management of each analysis dimension on the independent non-relevant data;
step S3, full link remote debugging service
The full-link remote debugging service focuses on creating intelligent operation and maintenance capability of operation and maintenance management visual angles, fault one-key diagnosis is realized on the basis of collected full data and multi-dimensional user images, and a customer complaint scene and an expert scene are enabled.
In step S1, when the terminal signaling is interactively acquired, logtail is used to acquire data of an MQTT (Message Queuing Telemetry Transport) protocol, and is used as a subscriber of the MQTT protocol, and is connected to an MQTT Broker (Broker) to subscribe a Message, and acquires the subscribed Message to a Logstore of a log service. The message sent by the equipment can be consumed only by simple configuration.
In the step S1, when the terminal is used for collecting data without a buried point, a Record mode is adopted, and only one segment of SDK (Software Development Kit) code needs to be loaded when the terminal is used for the first time, and the full amount of user behavior real-time data can be collected.
In the step S1, a data format of the collected data is defined from a business perspective to ensure data normalization.
In the step S1, service APK (Android package) adaptation is not required, the new terminal data acquisition standard is used, and only head end configuration is required for newly added data acquisition, so that flexible and efficient full data acquisition can be realized, and the pipelining limitation of operators is avoided.
In the step S2, representing the user based on the user tag capability means identifying the user tag according to user basic information and behavior data, where the user basic information and behavior data include but are not limited to user basic information, user activity, and user consumption capability heat exchange user content preference;
user portrayal based on user grouping capability refers to the identification of user common characteristics, the summarization of user similar labels, the support of grouping and grouping users and the realization of grouping recommendation based on user grouping;
user portrayal based on user portrayal capability means that a specific user portrayal is analyzed based on user tag characteristics;
user profiling based on user payment evaluation analysis capabilities refers to evaluating user payment preferences and consumption-oriented payment product packages and programs based on user profiling characteristics including, but not limited to, user consumption capabilities and content preferences.
In step S3, the supporting means of the customer complaint scene includes the following three types:
1) The method has the advantages that real-time content of a screen can be remotely seen so as to judge faults and remotely guide, and remote operation is supported after a client authorizes the method; the method supports multiple authorization modes, supports the storage of screenshots and remarks, is automatically associated with the customer complaint list, and associates all subsequent debugging and diagnosis with the customer complaint, thereby facilitating multi-user cooperative processing and problem tracking.
2) The method has the advantages that the current service is automatically identified, the first-line use threshold is reduced, and the service diagnosis configured by an expert is called by one key;
3) The system has the capability of diagnosing the broken network, guides a user to trigger network diagnosis through a shortcut key to generate a two-dimensional code, and quickly returns fault information by means of WeChat code scanning without waiting for entering the door; after scanning the returned fault information, the mobile phone self-service platform is accessed to facilitate interaction and watching of the guide video for basic inspection, and the problem is solved in an accelerated way.
In the step S3, the value of the expert scene has the following three points:
1) The method has the advantages that home debugging is replaced, problems are solved at any time, and indexes and historical alarm information are checked in real time; remote script debugging and real-time operation are realized; remotely upgrading the new version or debugging the version APK; aiming at the problems, the method supports long-time background debugging, and automatically restores debugging after a user turns on or off the computer;
2) The fault diagnosis can be further judged only after passively waiting for a large amount of customer complaints, small-batch real-time diagnosis is initiatively initiated, and fault data are collected in a larger scale through data collection;
3) The problem is solved in the whole network: and issuing a shell script to a whole network box, and solving the existing network fault through APK silent upgrade and OTA upgrade.
The invention relates to a system based on an IPTV/OTT end-to-end data reverse acquisition analysis method, which is characterized in that: the system comprises a terminal data reverse acquisition service module, a portrait-level user service module and a full-link remote debugging service module;
the terminal data reverse acquisition service module realizes reverse acquisition of terminal data, CDN network data, service system data and Internet related data by two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition so as to solve the problem that operators are pipelined and cannot acquire full-scale application data;
the portrait-level user service module performs user portrait on the basis of user tag capability, user grouping capability, user portrait capability and user payment evaluation analysis capability to the acquired independent storage uncorrelated full data, and gives full play to data value;
the fully acquired data is independently stored without relevance, and the portrait-level user service module is responsible for realizing the relevance management of each analysis dimension on the independent unrelated data;
the full-link remote debugging service module realizes one-key fault diagnosis based on the collected full data and multi-dimensional user images, and enables a customer complaint scene and an expert scene.
The invention has the beneficial effects that: the IPTV/OTT end-to-end data reverse acquisition analysis method and system solve the problem that an operator cannot acquire full application data by pipelining through a data reverse acquisition service, solve the current situation that content operation does not have complete data support by an image-level user service, solve the problem of responsibility maze through a full-link remote debugging service, improve the control force of the operator on a terminal, promote the family market of the operator to lead to the value from the scale, improve the control force of the operator on the terminal, realize the data-driven operation of IPTV/OTT business, enable the content to be more comprehensive and more convenient, enable the product to be more intelligent in use and enable the after-sale service to be more efficient.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of a method for reversely acquiring service data from a terminal according to the present invention.
Fig. 2 is a schematic diagram of a terminal signaling interaction acquisition method of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the embodiment of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The IPTV/OTT end-to-end data reverse acquisition and analysis method comprises the following steps:
step S1, reverse acquisition service of terminal data
The reverse acquisition of terminal data, CDN network data, service system data and Internet related data is realized by two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition, and the problem that operators cannot acquire full application data due to pipelining is solved;
step S2, portrait grade user service
User portrayal is performed on the full-scale data which is acquired and is independently stored, and the data value is fully exerted on the full-scale data based on user tag capacity, user grouping capacity, user portrayal capacity and user payment evaluation and analysis capacity;
the fully acquired data is independently stored without relevance, and the image-level user service aims at realizing the relevance management of each analysis dimension on the independent unrelated data;
step S3, full link remote debugging service
The full-link remote debugging service focuses on creating intelligent operation and maintenance capability of operation and maintenance management visual angles, fault one-key diagnosis is realized based on the collected full data and multi-dimensional user images, and a customer complaint scene and an expert scene are enabled.
In step S1, when the terminal signaling is interactively collected, logtail is used to collect MQTT (Message Queuing Telemetry Transport) protocol data, and is used as a subscriber of MQTT protocol, and is connected to MQTT Broker to subscribe the Message, and collects the subscribed Message to Logstore of log service. The message sent by the equipment can be consumed only by simple configuration.
In the step S1, when the terminal is used for collecting data without a buried point, a Record mode is adopted, and only one segment of SDK (Software Development Kit) code needs to be loaded when the terminal is used for the first time, and the full amount of user behavior real-time data can be collected.
In the step S1, a data format of the collected data is defined from a business perspective to ensure data normalization.
In the step S1, service APK (Android package) adaptation is not required, the new terminal data acquisition standard is used, and only head end configuration is required for newly added data acquisition, so that flexible and efficient full data acquisition can be realized, and the pipelining limitation of operators is avoided.
In the step S2, representing the user based on the user tag capability means identifying the user tag according to user basic information and behavior data, where the user basic information and behavior data include but are not limited to user basic information, user activity, and user consumption capability heat exchange user content preference;
user portrayal based on user grouping capability refers to the identification of user common characteristics, the summarization of user similar labels, the support of grouping and grouping users and the realization of grouping recommendation based on user grouping;
user portrayal based on user portrayal capability means that a specific user portrayal is analyzed based on user tag characteristics;
user profiling based on user payment assessment analysis capabilities refers to assessing user payment preferences and consuming-intent payment product packages and programs based on user profiling features including, but not limited to, user consumption capabilities and content preferences.
In step S3, the supporting means of the customer complaint scene includes the following three types:
1) The system has the advantages that real-time content of a screen can be remotely seen so as to judge faults and remotely guide, and remote operation is supported after a client authorizes the system; the method supports multiple authorization modes, supports the storage of screenshots and remarks, is automatically associated with the customer complaint list, and associates all subsequent debugging and diagnosis with the customer complaint, thereby facilitating multi-user cooperative processing and problem tracking.
2) The method has the advantages that the current service is automatically identified, the first-line use threshold is reduced, and the service diagnosis configured by an expert is called by one key;
3) The system has the capability of diagnosing the broken network, guides a user to trigger network diagnosis through a shortcut key to generate a two-dimensional code, and quickly returns fault information by means of WeChat code scanning without waiting for entering the door; after scanning the returned fault information, the mobile phone self-service platform is accessed to facilitate interaction and watching of the guide video for basic inspection, and the problem is solved in an accelerated way.
In the step S3, the value of the expert scene has the following three points:
1) The method has the advantages that home debugging is replaced, problems are solved at any time, and indexes and historical alarm information are checked in real time; remote script debugging and real-time operation are realized; remotely upgrading the new version or debugging the version APK; aiming at the problems, the method supports long-time background debugging, and automatically restores debugging after a user turns on or off the computer;
2) The fault diagnosis can be further judged only after passively waiting for a large amount of customer complaints, small-batch real-time diagnosis is initiatively initiated, and fault data are collected in a larger scale through data collection;
3) The problem is solved in the whole network: and issuing a shell script to a whole network box, and solving the existing network fault through APK silent upgrade and OTA upgrade.
The system based on the IPTV/OTT end-to-end data reverse acquisition analysis method comprises a terminal data reverse acquisition service module, a portrait grade user service module and a full link remote debugging service module;
the terminal data reverse acquisition service module realizes the reverse acquisition of terminal data, CDN network data, service system data and Internet related data by adopting two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition so as to solve the problem that operators are pipelined and cannot acquire full amount of application data;
the portrait-level user service module performs user portrait on the acquired independent storage unrelated full data respectively based on user tag capacity, user grouping capacity, user portrait capacity and user payment evaluation and analysis capacity, and fully exerts data value;
the fully acquired data is independently stored without relevance, and the portrait-level user service module is responsible for realizing the relevance management of each analysis dimension on the independent unrelated data;
the full-link remote debugging service module realizes one-key fault diagnosis based on the collected full data and multi-dimensional user images, and enables a customer complaint scene and an expert scene.
Compared with the prior art, the IPTV/OTT end-to-end data reverse acquisition analysis method and the system have the following characteristics:
firstly, through the terminal data reverse acquisition service, the portrait grade user service and the full link remote debugging service, the control power of an operator on the terminal is improved, the service data operation is enabled, the problem solving is accelerated, and the service experience is guaranteed.
And secondly, aiming at promoting the operation business family market from scale leading to value leading, innovatively inventing a data-driven operation method based on terminal data reverse acquisition service, developing image-level user service and full-link remote debugging service, realizing IPTV/OTT service data-driven operation, and realizing more comprehensive and more convenient content, more intelligent product use and more efficient after-sale service.
The above-described embodiment is only one specific embodiment of the present invention, and general changes and substitutions by those skilled in the art within the technical scope of the present invention are included in the protection scope of the present invention.
Claims (9)
1. An IPTV/OTT end-to-end data reverse acquisition analysis method is characterized in that: comprises the following steps:
step S1, reverse acquisition service of terminal data
The reverse acquisition of terminal data, CDN network data, service system data and Internet related data is realized by two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition, and the problem that operators cannot acquire full application data due to pipelining is solved;
step S2, portrait grade user service
The method comprises the steps that irrelevant full data which are acquired but independently stored are subjected to user representation respectively based on user tag capacity, user grouping capacity, user representation capacity and user payment evaluation analysis capacity;
the fully-collected data is independently stored without relevance, and the image-level user service aims to realize the relevance management of each analysis dimension on the independent non-relevant data;
step S3, full link remote debugging service
Based on the collected full data and multi-dimensional user images, one-key fault diagnosis is realized, and a customer complaint scene and an expert scene are enabled.
2. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 1, characterized in that: in the step S1, when the terminal signaling is interactively acquired, data of the MQTT protocol is acquired by using the Logtail, the Logtail is used as a subscriber of the MQTT protocol, and is connected to the MQTT Broker to subscribe the message, and the subscribed message is acquired to the Logstore of the log service.
3. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 2, characterized in that: in the step S1, when the terminal is used for collecting development data without a buried point, a Record mode is adopted, and only one segment of SDK code needs to be loaded when the terminal is used for the first time, and the full amount of user behavior real-time data can be collected.
4. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 3, characterized in that: in the step S1, a data format of the collected data is defined from a business perspective to ensure data normalization.
5. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 4, characterized in that: in the step S1, service APK adaptation is not required, and the new terminal data acquisition standard is used, and only head end configuration is required for newly added data acquisition, so that full data acquisition can be realized, and the limitation of the operator in pipelining is avoided.
6. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 1, characterized in that: in the step S2, representing the user based on the user tag capability means identifying the user tag according to user basic information and behavior data, where the user basic information and behavior data include but are not limited to user basic information, user activity, and user consumption capability heat exchange user content preference;
user portrayal based on user grouping capability refers to the identification of user common characteristics, the summarization of user similar labels, the support of grouping and grouping users and the realization of grouping recommendation based on user grouping;
user portrayal based on user portrayal capability means that a specific user portrayal is analyzed based on user tag characteristics;
user profiling based on user payment evaluation analysis capabilities refers to evaluating user payment preferences and consumption-oriented payment product packages and programs based on user profiling characteristics including, but not limited to, user consumption capabilities and content preferences.
7. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 1, characterized in that: in step S3, the supporting means of the customer complaint scene includes the following three types:
1) The system has the advantages that real-time content of a screen can be remotely seen so as to judge faults and remotely guide, and remote operation is supported after a client authorizes the system; the method supports multiple authorization modes, supports the storage of screenshots and remarks, is automatically associated with the customer complaint list, and is convenient for multi-user cooperative processing and problem tracking because all subsequent debugging and diagnosis are associated with customer complaints.
2) The method has the advantages that the current service is automatically identified, the first-line use threshold is reduced, and the service diagnosis configured by an expert is called by one key;
3) The system has the capability of network disconnection diagnosis, guides a user to trigger network diagnosis through a shortcut key to generate a two-dimensional code, and quickly returns fault information by means of WeChat code scanning without waiting for door access; after scanning the returned fault information, the mobile phone self-service platform is accessed to facilitate interaction and watching of the guide video for basic inspection, and the problem is solved in an accelerated way.
8. The IPTV/OTT end-to-end data reverse acquisition analysis method according to claim 7, characterized in that: in the step S3, the value of the expert scene has the following three points:
1) The method has the advantages that home debugging is replaced, problems are solved at any time, and indexes and historical alarm information are checked in real time; remote script debugging and real-time operation are realized; remotely upgrading the new version or debugging the version APK; aiming at the problems, the method supports long-time background debugging, and automatically restores debugging after a user turns on or off the computer;
2) The fault diagnosis can be further judged only after passively waiting for a large amount of customer complaints, small-batch real-time diagnosis is initiatively initiated, and fault data are collected in a larger scale through data collection;
3) The problem is solved in the whole network: and issuing a shell script to a whole network box, and solving the existing network fault through APK silent upgrade and OTA upgrade.
9. An IPTV/OTT end-to-end data reverse collection and analysis method device based on claims 1-8, wherein: the system comprises a terminal data reverse acquisition service module, a portrait-level user service module and a full-link remote debugging service module;
the terminal data reverse acquisition service module realizes reverse acquisition of terminal data, CDN network data, service system data and Internet related data by two means of terminal real-time signaling interactive acquisition and terminal non-buried point development data acquisition so as to solve the problem that operators are pipelined and cannot acquire full-scale application data;
the portrait-level user service module performs user portrait on the acquired independent storage unrelated full data respectively based on user tag capacity, user grouping capacity, user portrait capacity and user payment evaluation and analysis capacity, and fully exerts data value;
the fully acquired data are independently stored without relevance, and the portrait-level user service module is responsible for realizing the relevance management of each analysis dimension on the independent non-relevance data;
the full-link remote debugging service module realizes one-key fault diagnosis based on the collected full data and multi-dimensional user images, and enables a customer complaint scene and an expert scene.
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| CN114385899A (en) * | 2020-10-20 | 2022-04-22 | 上海倍增智能科技有限公司 | User group accurate identification system and method based on big data analysis |
| CN112784070A (en) * | 2020-12-31 | 2021-05-11 | 重庆空间视创科技有限公司 | User portrait method based on big data |
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| CN114398512A (en) * | 2021-08-26 | 2022-04-26 | 北京中云金诺科技有限公司 | Big data-based voice portrait analysis method for communication operator business customer |
| CN114004584A (en) * | 2021-10-22 | 2022-02-01 | 国网重庆市电力公司电力科学研究院 | Power information management method for building user portrait based on data middleboxes |
| CN113836215A (en) * | 2021-11-09 | 2021-12-24 | 神州数码***集成服务有限公司 | Financial scene type user perception information processing method, system, equipment and application |
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| CN114756537A (en) * | 2022-04-16 | 2022-07-15 | 长沙鸽儿们智能技术有限公司 | User portrait drawing method, system and device based on data buried points |
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