Intelligent broadcast service data analysis method, device and equipment, medium and computer product

Abstract

The invention discloses an intelligent broadcast service data analysis method, device and equipment, a storage medium and a computer product, and relates to the technical field of data analysis, and the method comprises the steps: determining a core service component of an intelligent broadcast teaching system and an external service component interacting with the intelligent broadcast teaching system, the method comprises the following steps: acquiring business state index data from a core service component and / or an external service component, determining corresponding business state index data for each intelligent broadcast business service, performing stability analysis on the business state index data to obtain a stability analysis result, and sending the stability analysis result to the core service component and / or the external service component. And correspondingly outputting all business state index data and stability analysis results of the intelligent broadcasting teaching system to a data display center. By determining the core component of the intelligent broadcast service data, collecting the state index data related to the intelligent broadcast service by using the collecting agent corresponding to each component, and performing data stability analysis and positioning display, the technical effect of improving the intelligent broadcast service data analysis efficiency is achieved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to methods, devices, equipment, storage media and computer products for analyzing smart broadcast service data. Background Art

[0002] Zhibo Teaching System is an online teaching platform built on artificial intelligence, streaming media, cloud computing and media transcoding technology. Due to the complex structure of Zhibo Teaching System, the large number of terminal equipment manufacturers, and the independent construction and maintenance parties, the deployment of software, hardware and network components in Zhibo Teaching System has become a chimney situation.

[0003] In the related technologies, universal monitoring methods, such as monitoring systems that only monitor universal status indicators such as the CPU, memory, disk consumption, and network IO of hosts and containers, cannot fully reflect the business-level abnormal conditions that exist in the core service components of the Zhibo teaching system when processing related Zhibo business services. When encountering business-level abnormal problems, we can only rely on the post-data of each component to discover the problem. Since the builders of each component are independent of each other, the troubleshooting speed for Zhibo business scenario problems is slow, which affects the overall stability of the Zhibo teaching system. Summary of the invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and computer product for intelligent broadcast business data analysis, aiming to solve the technical problems of long time consumption and low design efficiency in related technologies in intelligent broadcast business data analysis.

[0005] To achieve the above purpose, the present application proposes a Zhibo business data analysis method. On the basis of monitoring the status of the Zhibo teaching system based on general status indicators, the business status indicator data of the Zhibo teaching platform is determined and stability analysis is performed. The method includes the following steps:

[0006] Determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system;

[0007] Collect business status indicator data from core service components and / or external service components through a data collection agent, and store the business status indicator data in a data storage center;

[0008] Among them, the data collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform;

[0009] For each Zhibo business service, determine the corresponding business status indicator data from the data storage center, perform stability analysis on the business status indicator data, and obtain stability analysis results;

[0010] All business status indicator data and stability analysis results of the Zhibo teaching system are output to the data display center to obtain the status display data of each Zhibo business service.

[0011] In one embodiment, the core service components of the Zhibo teaching system include at least one of a streaming media component, a streaming media matrix component, a teaching platform component, a transcoding service component, a resource platform component, and an AI analysis component, and the data collection agent includes at least one of a streaming media collection agent, a streaming media matrix collection agent, a teaching platform collection agent, a transcoding service collection agent, a resource platform collection agent, and an AI analysis collection agent.

[0012] In one embodiment, the steps of performing stability analysis on the service status indicator data and obtaining the stability analysis result include:

[0013] For each type of business status indicator data that affects the stability of the Zhibo business service, based on the preset indicator standard, determine the deviation of the business status indicator data from the preset indicator standard;

[0014] Based on the deviation, the state stability of the business state indicator data is determined to obtain a stability analysis result; wherein the deviation is negatively correlated with the state stability.

[0015] In one embodiment, after the step of determining the state stability of the business state indicator data based on the deviation and obtaining the stability analysis result, the following steps are further included:

[0016] For each Zhibo business service, if there is at least one business status indicator data in the Zhibo business service whose state stability is absolutely unstable, all business status indicator data and corresponding state stability that affect the stability of the Zhibo business service will be sent to the alarm center so that the alarm center will generate corresponding alarm information.

[0017] In one embodiment, after the step of determining the state stability of the business state indicator data based on the deviation and obtaining the stability analysis result, the following steps are further included:

[0018] For each Zhibo business service, if there is no absolutely unstable business status indicator data in the Zhibo business service, then the business status indicator data that is not absolutely stable is determined from the business status indicator data;

[0019] Based on the weight scores of each state indicator data that is not absolutely stable and the deviation amount of each state indicator data that is not absolutely stable, the comprehensive state stability of the smart broadcast service is determined;

[0020] If the comprehensive status stability does not meet the preset standards, all business status indicator data and the corresponding status stability corresponding to the Zhibo business service will be sent to the alarm center so that the alarm center can generate corresponding alarm information.

[0021] In one embodiment, all business status indicator data and stability analysis results of the Zhibo teaching system are output to the data display center accordingly, and the step of obtaining the status display data of each Zhibo business service includes:

[0022] For each Zhibo business service, based on the state stability, the business state indicator data corresponding to the Zhibo business service is marked with a health state, and the state display data containing the health state mark is obtained.

[0023] In addition, in order to achieve the above-mentioned purpose, a smart broadcast service data analysis device is provided, the device comprising:

[0024] A determination module is used to determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system;

[0025] A collection module is used to collect business status indicator data from core service components and / or external service components through a data collection agent, and store the business status indicator data in a data storage center;

[0026] Among them, the data collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform;

[0027] The analysis module is used to determine the corresponding business status indicator data from the data storage center for each Zhibo business service, perform stability analysis on the business status indicator data, and obtain stability analysis results;

[0028] The display module is used to output all business status indicator data and stability analysis results of the Zhibo teaching system to the data display center to obtain the status display data of each Zhibo business service.

[0029] In addition, to achieve the above-mentioned purpose, the present application also proposes a smart broadcast service data analysis device, the device including: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the smart broadcast service data analysis method as described above.

[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent broadcast business data analysis method as described above are implemented.

[0031] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the intelligent broadcast service data analysis method as described above.

[0032] One or more technical solutions proposed in this application have at least the following technical effects:

[0033] The present invention can effectively solve the technical problems of long time consumption and low efficiency in the prior art in the analysis of Zhibo business data by providing a Zhibo business data analysis method. Specifically, by determining the core service components and external service components and using a data acquisition agent to independently collect business status indicator data, various types of status data related to service stability can be accurately obtained and stored in a data storage center. After the stability analysis of these data, the system can quickly identify potential stability problems, and generate alarm information in time through health status marking and comprehensive state stability evaluation to ensure that the system can respond quickly when an abnormality occurs. At the same time, by combining the analysis of indicator data one by one with the comprehensive analysis of indicator data, it is possible to accurately locate and alarm / warn the fault conditions that have occurred in the system and the possible fault conditions, thereby effectively improving the accuracy of problem troubleshooting. The data display center provides a clear status display of each business service, which enhances the efficiency and accuracy of system maintenance. Through this method, the stability analysis, alarm accuracy and troubleshooting speed of the Zhibo teaching system can be significantly improved, and the troubleshooting delay caused by traditional methods can be reduced, thereby improving the reliability and operation efficiency of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0036] Figure 1 This is a flow chart of the intelligent broadcast service data analysis method in one embodiment of the present application.

[0037] Figure 2 This is a first structural diagram of the Zhibo teaching system in a specific implementation example of the present application.

[0038] Figure 3 This is a second structural diagram of the Zhibo teaching system in a specific implementation example of the present application.

[0039] Figure 4 This is a structural diagram of the intelligent broadcast business data analysis device of this application.

[0040] Figure 5 This is a structural diagram of the intelligent broadcast business data analysis equipment for this application.

[0041] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0042] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0043] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0044] The main solution of the embodiment of the present application is: through a preset data acquisition interface, the status indicator data of each component in the Zhibo teaching system is obtained, and the status indicator data is stored in the data storage center; for each Zhibo business service, the status indicator data that affects the stability of the Zhibo business service is determined from the data storage center; a stability analysis is performed on the status indicator data that affects the stability of the Zhibo business service to obtain the stability analysis result; all the status indicator data and the stability analysis results of the Zhibo teaching system are output to the data display center accordingly to obtain the status display data of each Zhibo business service.

[0045] The Zhibo teaching system is an online teaching platform based on artificial intelligence technology, streaming media technology, cloud computing technology, and media transcoding technology. It covers the entire teaching and experimental process, provides mobility, online and offline integration, intelligence, and cloud-based teaching processes, and realizes online Zhibo, interactive teaching, and on-demand course content. It aims to improve the efficiency of online teaching, enhance the interaction between teachers and students, and improve the teaching, learning, and management service capabilities by connecting data throughout the entire process.

[0046] Due to the complexity of the business scenarios of the Zhibo teaching system, there are many terminal equipment manufacturers involved in multiple links from the hardware layer to the business layer, and the construction and maintenance parties are independent of each other, resulting in a chimney-like deployment of software, hardware and network components in the Zhibo teaching system.

[0047] In the actual work process, when encountering abnormal problems at the business level, such as a course (usually there are many courses) without playback video, according to the conventional maintenance method, the maintenance layer needs to conduct a systematic investigation after receiving business feedback. There are many possible causes of failure, such as the device not pushing the stream normally (damage, power failure, not turned on, no stream address configured, etc.). Conventional monitoring methods, such as monitoring the CPU, memory, disk, network IO of the host and container, are almost ineffective for troubleshooting business problems. This usually requires multiple system data viewing and coordination and communication with multiple manufacturers. It is also necessary to check the video files of the corresponding courses, Zhibo data (such as Zhibo collection tasks, etc.), Zhibo streaming data, whether the transcoding service is abnormal, whether the collection service is abnormal, etc. The entire troubleshooting process is lengthy and time-consuming. This troubleshooting method for Zhibo business scenario problems has a slow troubleshooting speed, which may affect the overall stability of the Zhibo teaching system.

[0048] In view of the slow troubleshooting speed of Zhibo business scenarios, the present application provides the above-mentioned solution, which obtains the status indicator data of each component in the Zhibo teaching system through a preset data acquisition interface and stores it in the data storage center. For each Zhibo business service, the status indicator data that affects its stability is extracted and analyzed, the stability analysis results are obtained, and all status indicator data and analysis results are output to the data display center, thereby realizing real-time monitoring and rapid analysis of Zhibo business services, significantly improving the speed of problem troubleshooting and enhancing the overall stability of the system.

[0049] Based on this, the present application embodiment provides a method for analyzing intelligent broadcast service data, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the intelligent broadcast service data analysis method of the present application.

[0050] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a smart broadcast service data analysis device, etc. The following takes the smart broadcast service data analysis device as an example to illustrate this embodiment and the following embodiments.

[0051] In this embodiment, the intelligent broadcast service data analysis method includes steps S10 to S40:

[0052] Step S10, determining the core service components of the Zhibo teaching system and the external service components that interact with the business status indicator data Zhibo teaching system.

[0053] Step S20, collecting business status indicator data from core service components and / or external service components through a data collection agent, and storing the business status indicator data in a data storage center.

[0054] It should be noted that the data collection agent is a tool or interface for collecting data from the Zhibo teaching system. It can obtain the business status indicator data of each component in the Zhibo teaching system (such as internal core components, externally connected hardware, software, network, etc.).

[0055] In a specific example, programming languages ​​such as python and golang can be used to implement a data collection agent to obtain equipment operation data, business service data, etc. from each component of the Zhibo teaching system, and encapsulate these data into corresponding status indicator data.

[0056] It should be noted that the core service components are the internal core components (hardware or software) used by the Zhibo teaching system in the Zhibo scenarios, such as streaming services, matrix services, Zhibo platforms, resource platforms, transcoding centers, etc. The external service components are external hardware and / or software devices that interact with the Zhibo teaching system for data or provide necessary functions, such as streaming devices and switching routing devices.

[0057] It should also be noted that Zhibo business services refer to teaching services performed in the Zhibo teaching system. For example, online courses and Zhibo classrooms in the Zhibo teaching system. Business status indicator data refers to various types of data used to reflect the current operating status of Zhibo business services. For example, during the operation of a Zhibo business service, the push streaming client’s offline status, push streaming status, streaming status (frame rate, waveform, etc.), streaming recording status (whether it is recorded normally), cameras and other hardware devices’ offline status, network jitter, AI analysis status and other information. In a specific example, the business status indicator data in the Zhibo teaching system can be determined by the identification information corresponding to each Zhibo business service in the Zhibo teaching system, or the business status indicator data can be checked out from all the status data of the Zhibo teaching system by shutting down a specific service.

[0058] Specifically, first determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system. Then, through the data collection agent, obtain the business status indicator data of each component from the Zhibo teaching system, package it and transfer it to the data storage center for subsequent analysis.

[0059] In a feasible implementation, the core service components of the Zhibo teaching system include at least one of a streaming media component, a streaming media matrix component, a teaching platform component, a transcoding service component, a resource platform component, and an AI analysis component, and the data collection agent includes at least one of a streaming media collection agent, a streaming media matrix collection agent, a teaching platform collection agent, a transcoding service collection agent, a resource platform collection agent, and an AI analysis collection agent.

[0060] It should be noted that each service component and the data collection agent can be set up accordingly, that is, the business status indicator data involved in each component can be collected and stored in an independent collection manner.

[0061] In a feasible implementation, the status indicator data of each component is collected and stored independently, and step S20 may include steps A21 and A22:

[0062] Step A21, denoising the business status indicator data to obtain standard business status indicator data.

[0063] Step A22, storing the standard business status indicator data in a corresponding data storage center.

[0064] It can be understood that in this embodiment, by denoising the status indicator data, invalid information in the status indicator data can be removed, and by denoising and storing standardized data, it can be ensured that the collected status indicator data is more accurate and reliable in the subsequent analysis and decision-making process. Independently collecting and storing status indicator data can enhance the stability, scalability and maintainability of the system, and provide more accurate basic data support for subsequent data analysis, alarm triggering and system optimization.

[0065] Among them, the data collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform.

[0066] Step S30: for each smart broadcast service, determine the corresponding business status indicator data from the data storage center, perform stability analysis on the business status indicator data, and obtain stability analysis results.

[0067] It should be noted that different Zhibo business services correspond to different business status indicator data. For example, different Zhibo classrooms correspond to different video streams and the hardware equipment used may also be different (such as cameras). It is necessary to determine the corresponding business status indicator data that affects the specific Zhibo business service from the data storage center, and conduct targeted analysis on the service stability of each Zhibo business service.

[0068] It is understandable that the purpose of stability analysis is to evaluate and predict the performance of a system or service under different conditions, identify potential risks and bottlenecks, and take appropriate measures to improve the reliability and performance of the system. The stability analysis result is a conclusion or evaluation result obtained after analyzing the business status indicator data. In this embodiment, the stability analysis result can be divided into absolute stability, relative stability, relative instability, absolute stability, etc. according to the degree of stability from low to high.

[0069] It is understandable that for each smart broadcast business service, its corresponding business status indicator data also needs to be classified according to the specific hardware or software equipment used, such as the business status indicator data of the camera used by the smart broadcast business service, the business status indicator data of the streaming device, etc. This embodiment can perform stability analysis on each type of business status indicator data that affects the stability of the smart broadcast business service one by one, and obtain the stability analysis results of each type of business status indicator data of each smart broadcast business service; it can also combine various types of business status indicator data to perform a comprehensive stability analysis of each smart broadcast business service, and obtain a comprehensive stability analysis result of the smart broadcast business service.

[0070] In a feasible implementation, step S30 may include steps B31 and B32:

[0071] Step B31, for each type of business status indicator data that affects the stability of the smart broadcast service, based on the preset indicator standard, determine the deviation of the business status indicator data from the preset indicator standard.

[0072] Step B32: Based on the deviation, determine the state stability of the business state indicator data to obtain a stability analysis result.

[0073] Among them, the deviation is negatively correlated with the state stability.

[0074] It should be noted that the preset indicator standards are standard ranges or standard values ​​set for various types of business status indicator data that meet stability expectations. For example, the streaming device should be online, the streaming device should produce a smart broadcast stream with an average frame rate of 25 frames, the network delay should be less than 20ms, the network jitter should be less than 5ms, etc. Each smart broadcast service has corresponding preset indicator standards based on its own service content and the applied system components. Different smart broadcast services may have different preset indicator standards. The deviation refers to the difference between the actual business status indicator data and the preset indicator standard. It measures the degree of deviation between the business status indicator data and the preset indicator standard. The higher the deviation, the farther the status indicator is from the preset standard, which means that the state stability (stability) of the smart broadcast service is lower. At the same time, targeted analysis of various types of business status indicator data can accurately locate the causes of instability in smart broadcast services.

[0075] Specifically, this implementation method evaluates the stability of each intelligent broadcast service by calculating the deviation between the business status indicator data and the preset indicator standard, and obtains the stability analysis result.

[0076] In a feasible implementation manner, after step B32, step B33 may also be included:

[0077] Step B33, for each smart broadcast service, if there is at least one business status indicator data in the smart broadcast service whose state stability is absolutely unstable, all business status indicator data affecting the stability of the smart broadcast service and the corresponding state stability will be sent to the alarm center, so that the alarm center will generate corresponding alarm information.

[0078] It should be noted that a certain type of business status indicator data is absolutely unstable, which means that the deviation of the status indicator is very large, and the corresponding Zhibo business service function can no longer operate normally. For example, the camera of a Zhibo classroom is offline. It is understandable that when a type of status indicator in the Zhibo business service is absolutely unstable, it is enough to affect the normal operation of the entire service. An alarm must be issued immediately, and all business status indicator data related to the Zhibo business service and its corresponding state stability need to be sent to the alarm center. The alarm center judges the overall health status of the service based on these indicator data, and determines the level and type of alarm to generate an alarm message. The alarm information generated by the alarm center can be notified to the operation and maintenance personnel in a variety of ways, such as SMS, email, application push, etc. This implementation method ensures that when serious problems occur in the service, the relevant personnel can be notified quickly and take necessary measures to avoid further system collapse or affect the normal operation of the business.

[0079] In another feasible implementation manner, after step B32, steps B34-B36 may also be included:

[0080] Step B34, for each Zhibo business service, if there is no absolutely unstable business status indicator data in the Zhibo business service, determine the business status indicator data that is not absolutely stable from the business status indicator data that affect the stability of the Zhibo business service.

[0081] Step B35, based on the weight score of each business status indicator data that is not absolutely stable and the deviation amount of each business status indicator data that is not absolutely stable, determine the comprehensive state stability of the Zhibo business service.

[0082] Step B36, if the comprehensive state stability of the business status indicator data does not meet the preset standard, all business status indicator data affecting the stability of the smart broadcast service and the corresponding state stability are sent to the alarm center so that the alarm center generates corresponding alarm information.

[0083] This embodiment calculates the comprehensive state stability by analyzing the "non-absolutely stable" state indicators, and sends relevant information to the alarm center when the comprehensive state stability does not meet the standard. It can be understood that this embodiment further evaluates and warns the state that has not reached absolute instability to prevent potential risks from becoming actual failures.

[0084] Specifically, there is no absolutely unstable business status indicator data, which means that the service status of the current Zhibo business service is still running relatively normally and may need further monitoring or optimization. By calculating a comprehensive and overall service stability, not only the comprehensive state stability of each indicator is taken into account. Among them, the weight of each business status indicator data reflects the degree of influence of the indicator on the overall stability of the Zhibo business service. For example, in the live video service, bandwidth utilization is the most critical to service stability. If the bandwidth is unstable, the video stream may be stuck or interrupted, so the bandwidth indicator has a higher weight. In a specific example, the weight scores of various types of business status indicator data can be stored in the state weight table for subsequent calculation and analysis.

[0085] The comprehensive state stability can be calculated by the weight score and deviation of each business state indicator data in a specific example, as shown in Formula 1:

[0086]

[0087] Among them, sta represents the comprehensive state stability, ω represents the weight score, and dev represents the offset.

[0088] It can be understood that by comprehensively considering the health status of multiple indicators and calculating the comprehensive status stability through weights, if the comprehensive status stability does not meet expectations, it means that the smart broadcast service has potential risks and needs further processing. It is necessary to send all business status indicator data and corresponding status stability of the smart broadcast service to the alarm center. The alarm center generates corresponding alarm information according to the alarm rules by analyzing the received data.

[0089] It can be understood that through the above implementation methods, the status of the Zhibo business service can be comprehensively and carefully monitored and evaluated. On the one hand, when the business status indicator data is detected to be absolutely unstable, the alarm mechanism is triggered immediately to ensure immediate response to serious problems, avoid the expansion of potential major failures, and minimize the impact of service interruptions. On the other hand, for the "non-absolutely stable" state that has not reached absolute instability, by introducing the concept of comprehensive state stability for quantitative analysis, risk factors that may evolve into serious problems can be identified in advance, so that preventive measures can be taken, resource allocation can be optimized, and the robustness and service quality of the system can be improved.

[0090] Step S40: Output all business status indicator data and stability analysis results of the Zhibo teaching system to the data display center to obtain status display data of each Zhibo business service.

[0091] In this embodiment, after completing the collection of various business status indicator data in the Zhibo teaching system and conducting stability analysis, the business status indicator data and the corresponding stability analysis results are combined and output to the data display center as status display data. The data display center can display the status display data of each Zhibo business service in a visual or easy-to-understand manner according to the type of Zhibo business service, so as to facilitate real-time monitoring, decision-making, etc.

[0092] It is understandable that each Zhibo business service has corresponding status display data. Through the visual display method of the data display center, operation and maintenance personnel can understand the health status of each Zhibo business service in real time, discover and handle problems in time, and ensure the stable operation of the system.

[0093] In a feasible implementation manner, step S40 may further include step C41:

[0094] Step C41, for each smart broadcast service, based on the state stability, all business state indicator data that affect the stability of the smart broadcast service are marked with a health state, and state display data containing the health state mark is obtained.

[0095] It should be noted that the health status mark is an identifier that represents the health status of the Zhibo business service. It can be used to indicate whether the service is normal, alert, abnormal or faulty, or it can indicate the health status of a certain type of business status indicator data of the service.

[0096] Specifically, the health status of various status display data of the Zhibo business service can be marked according to the state stability of various status stability data of the Zhibo business service. It is understandable that through the status display data containing the health status mark, the data display center can intuitively display the stability analysis status of the Zhibo business service, such as by presenting it in the form of dashboards, charts, color markings, etc., to help system administrators or operation and maintenance personnel understand the health status of each service and corresponding indicator in the system in an intuitive way, and accurately locate the cause of the stability problem.

[0097] For example, in order to help understand the implementation process of the intelligent broadcast service data analysis method obtained in this embodiment, please refer to Figure 3 , Figure 3 A brief structural diagram of the intelligent broadcast service data analysis method in this implementation example is provided, specifically:

[0098] In this example, if Figure 2 As shown, Figure 2This is a structural diagram of the Zhibo teaching system in this example. In this example, external service components (such as streaming devices) generally use RTMP streaming to access and produce the system. The core service components of the Zhibo teaching system include streaming media, streaming media matrix, teaching platform, collection service, transcoding service, resource platform and AI analysis.

[0099] Reference Figure 3 In this example, the Zhibo teaching system introduces the collection agent, collection center, storage center, analysis service, alarm center and display panel.

[0100] The collection agent uses programming languages ​​such as python and golang to connect to the monitoring or business data interface of each business system, encapsulate it as an indicator agent for a specific business, and expose the encapsulated data to the collection center through the report interface. It can customize the independent collection agent of each isolated component and collect the core indicator data of each component separately. Figure 3 As shown, in this exemplary intelligent broadcast scenario, the core hardware and software components include streaming media services, matrix services, intelligent broadcast platforms, resource platforms, transcoding centers, streaming devices, switching and routing devices, etc., and corresponding collection agents need to be implemented for these components. The collection center collects the indicator data exposed by the report interface in a push or pull manner, and performs denoising on the data. The processed data needs to be stored in the storage center. The storage center uses a time-series database to save the indicator data processed by the collection center, and encapsulates the HTTP API data output interface for data consumption by other modules. The analysis service reads the data in the storage center, analyzes and aggregates the stability-related indicators of various services, and the alarm center is responsible for consuming data and conducting targeted analysis on the indicator data of insufficient stability analyzed by the analysis service. According to the alarm rules, the business personnel or maintenance personnel are notified through emails, SMS, DingTalk, and phone calls to handle the corresponding processing.

[0101] The display panel can encapsulate the Zhibo business screen with the help of mainstream BI, grafana and other tools. It is responsible for displaying the data results analyzed by the analysis service, and is used to understand the operation status of each Zhibo business service in the Zhibo teaching system.

[0102] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the intelligent broadcast service data analysis method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0103] This application also provides a smart broadcast service data analysis device, please refer to Figure 4 , the Zhibo business data analysis device includes:

[0104] The determination module 10 is used to determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system.

[0105] The collection module 20 is used to collect business status indicator data from core service components and / or external service components through a data collection agent, and store the business status indicator data in a data storage center.

[0106] Among them, the collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform.

[0107] The analysis module 30 is used to determine the corresponding business status indicator data from the data storage center for each smart broadcast business service, perform stability analysis on the business status indicator data, and obtain stability analysis results.

[0108] The display module 40 is used to output all business status indicator data and stability analysis results of the Zhibo teaching system to the data display center to obtain the status display data of each Zhibo business service.

[0109] The intelligent broadcast service data analysis device provided by the present application adopts the intelligent broadcast service data analysis method in the above embodiment, which can solve the technical problems of long time consumption and low design efficiency using the manual design method. Compared with the related art, the beneficial effects of the intelligent broadcast service data analysis device provided by the present application are the same as the beneficial effects of the intelligent broadcast service data analysis method provided by the above embodiment, and the other technical features in the intelligent broadcast service data analysis device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0110] The present application provides a smart broadcast service data analysis device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the smart broadcast service data analysis method in the above-mentioned embodiment.

[0111] Reference below Figure 5, which shows a schematic diagram of the structure of a smart broadcast service data analysis device suitable for implementing an embodiment of the present application. The smart broadcast service data analysis device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The shown smart broadcast business data analysis device is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0112] like Figure 5 As shown, the intelligent broadcast business data analysis device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the intelligent broadcast business data analysis device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the Zhibo business data analysis device to communicate wirelessly or wired with other devices to exchange data. Although the Zhibo business data analysis device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or provided alternatively.

[0113] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0114] The intelligent broadcast service data analysis device provided by the present application adopts the intelligent broadcast service data analysis method in the above embodiment, which can solve the technical problems of long time consumption and low design efficiency using the manual design method. Compared with the related art, the beneficial effects of the intelligent broadcast service data analysis device provided by the present application are the same as the beneficial effects of the intelligent broadcast service data analysis method provided by the above embodiment, and the other technical features in the intelligent broadcast service data analysis device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0115] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0116] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0117] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the Zhibo business data analysis method in the above-mentioned embodiment.

[0118] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0119] The above-mentioned computer-readable storage medium may be included in the Zhibo business data analysis device; or it may exist independently without being assembled into the Zhibo business data analysis device.

[0120] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the intelligent broadcast service data analysis device, the intelligent broadcast service data analysis device: obtains the password requirement information of the target user. Selects a standard intelligent broadcast service data analysis scheme consistent with the password requirement information from a preset cryptographic library. The standard intelligent broadcast service data analysis scheme includes a standard cryptographic algorithm, a standard cryptographic protocol, and a standard cryptographic scheme. Outputs a standard intelligent broadcast service data analysis scheme.

[0121] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0122] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0123] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0124] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned intelligent broadcast service data analysis method, and can solve the technical problems of long time consumption and low design efficiency in intelligent broadcast service data analysis. Compared with the related art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the intelligent broadcast service data analysis method provided in the above-mentioned embodiment, and will not be repeated here.

[0125] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned intelligent broadcast service data analysis method when executed by a processor.

[0126] The computer program product provided by this application can solve the technical problems of long time consumption and low design efficiency in the analysis of intelligent broadcast service data. Compared with the relevant technology, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the intelligent broadcast service data analysis method provided by the above embodiment, which will not be repeated here.

[0127] The above are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A Zhibo business data analysis method, based on monitoring the status of a Zhibo teaching system based on general status indicators, is characterized in that: The business status indicator data of the Zhibo teaching platform is also determined and stability analysis is performed, wherein the method includes the following steps: Determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system; Collecting business status indicator data from the core service component and / or the external service component through a data collection agent, and storing the business status indicator data in a data storage center; Wherein, the data collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform; For each smart broadcast service, determine corresponding service status indicator data from the data storage center, perform stability analysis on the service status indicator data, and obtain stability analysis results; All the business status indicator data and the stability analysis results of the Zhibo teaching system are output to the data display center accordingly to obtain the status display data of each Zhibo business service.

2. The method according to claim 1, characterized in that The core service components of the Zhibo teaching system include at least one of a streaming media component, a streaming media matrix component, a teaching platform component, a transcoding service component, a resource platform component and an AI analysis component, and the data acquisition agent includes at least one of a streaming media acquisition agent, a streaming media matrix acquisition agent, a teaching platform acquisition agent, a transcoding service acquisition agent, a resource platform acquisition agent and an AI analysis acquisition agent.

3. The method according to claim 1, characterized in that The step of performing stability analysis on the business status indicator data to obtain a stability analysis result comprises: For each type of business status indicator data that affects the stability of the smart broadcast business service, based on a preset indicator standard, determine the deviation of the business status indicator data from the preset indicator standard; Based on the deviation, the state stability of the business state indicator data is determined to obtain the stability analysis result; wherein the deviation is negatively correlated with the state stability.

4. The method according to claim 3, characterized in that After the step of determining the state stability of the business state indicator data based on the deviation and obtaining the stability analysis result, the method further includes: For each of the smart broadcast business services, if there is at least one business status indicator data in the smart broadcast business service whose state stability is absolutely unstable, all business status indicator data and corresponding state stability that affect the stability of the smart broadcast business service will be sent to the alarm center, so that the alarm center will generate corresponding alarm information.

5. The method according to claim 3, characterized in that After the step of determining the state stability of the business state indicator data based on the deviation and obtaining the stability analysis result, the method further includes: For each of the smart broadcast service, if there is no absolutely unstable service status indicator data in the smart broadcast service, determining the service status indicator data that is not absolutely stable from the service status indicator data; Determine the comprehensive state stability of the smart broadcast service based on the weight score of each state indicator data that is not absolutely stable and the deviation of each state indicator data that is not absolutely stable; If the comprehensive state stability does not meet the preset standard, all the business state indicator data and the corresponding state stability corresponding to the smart broadcast business service are sent to the alarm center, so that the alarm center generates corresponding alarm information.

6. The method according to claim 3, characterized in that The step of outputting all the business status indicator data of the Zhibo teaching system and the stability analysis results to the data display center to obtain the status display data of each Zhibo business service includes: For each of the smart broadcast business services, based on the state stability, the business state indicator data corresponding to the smart broadcast business service is marked with a health state, and state display data containing the health state mark is obtained.

7. A smart broadcast service data analysis device, characterized in that: The device comprises: A determination module, used to determine the core service components of the Zhibo teaching system and the external service components that interact with the Zhibo teaching system; A collection module, used to collect business status indicator data from the core service component and / or the external service component through a data collection agent, and store the business status indicator data in a data storage center; Wherein, the data collection agent is set corresponding to the core service component and / or the external service component, and the business status indicator data is a business status indicator related to the service stability of each Zhibo business service in the Zhibo teaching platform; An analysis module, for determining corresponding service status indicator data from the data storage center for each smart broadcast service, performing stability analysis on the service status indicator data, and obtaining a stability analysis result; The display module is used to output all the business status indicator data and the stability analysis results of the Zhibo teaching system to the data display center to obtain the status display data of each Zhibo business service.

8. A smart broadcast service data analysis device, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the intelligent broadcast service data analysis method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent broadcast service data analysis method as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the intelligent broadcast service data analysis method as described in any one of claims 1 to 6 are implemented.

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