AI audio and video intelligent analysis cloud platform

Abstract

The invention discloses an AI (Artificial Intelligence) audio and video intelligent analysis cloud platform, and belongs to the technical field of artificial intelligence and audio and video analysis (Audio-Visual Analysis). The AI audio and video intelligent analysis cloud platform comprises a cloud platform body, a cloud platform body and a cloud platform body, and the technical field of the AI audio and video intelligent analysis cloud platform is the AI audio and video intelligent analysis cloud platform. The two fields are the core technology basis of the platform, and real-time analysis and processing of audio and video data are realized through technologies of deep learning, computer vision, voice recognition and the like. The artificial intelligence field covers the technologies of machine learning, deep learning, natural language processing and the like, and the audio and video analysis field focuses on research and application in the aspects of feature extraction, pattern recognition, intelligent decision making and the like on audio and video data. Therefore, the AI audio and video intelligent analysis cloud platform belongs to the technical field of artificial intelligence and audio and video analysis, and the AI audio and video intelligent analysis cloud platform can improve the processing and analysis efficiency of audio and video data and provide more accurate, quicker and safer intelligent decisions and applications by introducing artificial intelligence, audio and video analysis, cloud computing and other advanced technologies.

Description

Technical Field

[0001] The present invention relates to the technical field of AI audio - video intelligent analysis, specifically an AI audio - video intelligent analysis cloud platform. Background Art

[0002] The technical field to which the AI audio - video intelligent analysis cloud platform belongs is artificial intelligence and audio - visual analysis. These two fields are the core technical bases of the platform. Through technologies such as deep learning, computer vision, and speech recognition, real - time analysis and processing of audio - video data are achieved. The field of artificial intelligence covers technologies such as machine learning, deep learning, and natural language processing, while the field of audio - visual analysis focuses on research and application in aspects such as feature extraction, pattern recognition, and intelligent decision - making for audio and video data. Therefore, the technical field to which the AI audio - video intelligent analysis cloud platform belongs is artificial intelligence and audio - visual analysis.

[0003] The problems and disadvantages existing in the current background art are as follows:

[0004] For complex scenarios and diverse audio - video data, traditional audio - video analysis technologies often have problems such as low accuracy and slow processing speed.

[0005] Processing and analysis of large - scale audio - video data require huge computing resources and storage space, and traditional computing platforms often cannot meet the requirements.

[0006] In the process of processing and analyzing audio - video data, privacy protection and data security are important issues, and effective technical means need to be taken to protect users' privacy and data security.

[0007] To address these problems, the AI audio - video intelligent analysis cloud platform can improve the efficiency of processing and analyzing audio - video data by introducing advanced technologies such as artificial intelligence, audio - visual analysis, and cloud computing, and provide more accurate, fast, and secure intelligent decision - making and applications. Therefore, in view of this, the existing structure is studied and improved to provide an AI audio - video intelligent analysis cloud platform, with the expectation of achieving a more practical value. Summary of the Invention

[0008] To solve the above - mentioned technical problems, the present invention provides the following technical solutions:

[0009] The AI audio-video intelligent analysis cloud platform of the present invention includes an AI audio-video intelligent analysis algorithm and a cloud computing platform. The AI audio-video intelligent analysis algorithm is integrated with the cloud computing platform through an API or an SDK, and transmits audio-video data to the cloud platform for processing and analysis. The AI audio-video intelligent analysis algorithm is based on technologies such as deep learning and machine learning, and can accurately, quickly, and securely process and analyze audio-video data. The AI audio-video intelligent analysis algorithm includes, but is not limited to, modules such as speech recognition, face recognition, image recognition, and video analysis, and can realize intelligent decision-making and application of audio-video data. In addition, the cloud computing platform provides high-performance computing resources to support the operation of the AI audio-video intelligent analysis algorithm and the processing and analysis of audio-video data. The cloud computing platform is based on cloud computing technology and has characteristics such as high availability, scalability, and flexibility, and can meet the needs of large-scale audio-video data processing and analysis.

[0010] As a preferred technical solution of the present invention, the cloud computing platform is connected to a data storage and management system. The cloud computing platform can store the processed audio-video data in the data storage system and obtain data from it for further analysis and application. The data storage and management system is used to store and manage large-scale audio-video data and provides efficient data access and management functions. The system adopts distributed storage and management technology and has characteristics such as high availability, scalability, and flexibility, and can meet the storage and management needs of large-scale audio-video data.

[0011] As a preferred technical solution of the present invention, the AI audio-video intelligent analysis cloud platform includes a user interface. The user interface communicates with the cloud computing platform through an API or a web service to obtain the analysis results of audio-video data and other relevant information. In addition, the user interface can send instructions to the cloud computing platform to control the processing and analysis process of audio-video data. That is, the user interface communicates with the cloud computing platform through an API or a web service to obtain the analysis results of audio-video data and other relevant information and provides a user interaction function. The user interface includes, but is not limited to, web application programs, mobile application programs, etc., and can meet the different needs of users.

[0012] As a preferred technical solution of the present invention, the cloud computing platform includes data security and privacy protection technologies. The cloud computing platform integrates data security and privacy protection technologies to perform operations such as encrypting, access controlling, and privacy protecting user data. Moreover, the cloud computing platform ensures that only authorized users can access and process audio and video data, protecting the security and privacy of user data. At the same time, the data security and privacy protection technologies perform operations such as encrypting, access controlling, and privacy protecting user data, guaranteeing the security and privacy of user data. The technologies include, but are not limited to, functions such as data encryption, identity authentication, access control, data backup and recovery, etc., and can meet users' requirements for data security and privacy protection.

[0013] As a preferred technical solution of the present invention, the cloud computing platform is related to hardware devices. The cloud computing platform runs on hardware devices, including servers, storage devices, etc. Moreover, the hardware devices provide computing and storage resources to support the operation of the cloud computing platform and the storage of audio and video data. The hardware devices include servers, storage devices, etc., and are used to support the operation of the platform and data storage. The hardware devices have characteristics such as high performance, high availability, and scalability, and can meet the operation of the platform and data storage requirements.

[0014] As a preferred technical solution of the present invention, the AI audio and video intelligent analysis cloud platform includes a method for constructing a vulnerability knowledge graph:

[0015] Step 1: Through the collected network resources, conduct statistical analysis based on word frequency, and finally, combining the experience of network security operation personnel, select words to construct a security dictionary;

[0016] Step 2: Construct a network model. Select the bert model trained by a large-scale training set as the pre-trained model as the overall network entry. After passing through a bidirectional long short-term memory network and a conditional random field, output the classification result. This network is fine-tuned and trained through a vulnerability text data set with annotation information, and finally, an inference model is generated after training;

[0017] Step 3: The multi-source vulnerability text data respectively pass through the security dictionary and the artificial intelligence inference model, make entity decisions according to the weight ratio, and then perform disambiguation and alignment processing on the selected entities;

[0018] Step 4: Determine the entities. According to the category content, fill them into the vulnerability knowledge graph model respectively to establish new entities, attributes, and relationships.

[0019] As a preferred technical solution of the present invention, the AI ​​audio-visual intelligent analysis cloud platform includes a vulnerability knowledge graph model diagram, which consists of 7 entities and 5 attributes. The vulnerability and weakness entities constitute the main elements of the knowledge graph. Other entities such as software and systems are the key nodes for security operation personnel to trace the source. Through the data search of these key entity nodes, the related weaknesses and vulnerabilities can be obtained to complete the traceability.

[0020] As a preferred technical solution of the present invention, the AI ​​audio-visual intelligent analysis cloud platform includes an artificial intelligence network diagram extracted for entities. The entire network is composed of bert, bidirectional long short-term memory network and conditional random field. The vulnerability description text information is input into the bert model in the form of words to generate word vectors. The word vectors pass through the bidirectional long short-term memory network to generate a category probability model, and finally the category of each word is determined through the conditional random field.

[0021] The beneficial effects of the present invention are:

[0022] 1. Improved accuracy: The AI ​​audio-visual intelligent analysis cloud platform adopts advanced deep learning and machine learning algorithms, which can highly accurately analyze and identify audio-visual data. These algorithms can learn the characteristics and patterns of audio-visual data from a large amount of training data, and can accurately classify, identify and analyze. Compared with traditional audio-visual analysis technologies, AI algorithms can provide higher accuracy and reliability, reduce misjudgment and missed judgment, and thus improve the accuracy of audio-visual data processing and analysis.

[0023] 2. Improved processing efficiency: The AI ​​audio-visual intelligent analysis cloud platform is based on the cloud computing platform and uses high-performance computing resources to process and analyze audio-visual data. The cloud computing platform has powerful computing power and processing speed, and can support the rapid processing and analysis of large-scale audio-visual data. Compared with traditional local computing, the cloud computing platform can significantly improve the processing efficiency of audio-visual data and save a large amount of time and resources.

[0024] 3. Optimized data storage and management: The AI ​​audio-visual intelligent analysis cloud platform adopts distributed storage and management technologies, which can realize the efficient storage and management of large-scale audio-visual data. The distributed storage and management system disperses the audio-visual data and stores it on multiple nodes to achieve parallel access and processing of the data. This storage and management method has higher scalability and flexibility, and can meet the storage and management needs of large-scale audio-visual data.

[0025] 4. User Experience Improvement: The AI Audio-Video Intelligent Analysis Cloud Platform interacts with users through APIs or web services, providing user interfaces and functions to facilitate users' access to the analysis results of audio-video data and other relevant information. The user interface has a friendly interaction interface and operation method, capable of providing a better user experience. Users can perform operations such as data upload, querying analysis results, and setting analysis parameters through the interface, realizing flexible management and use of audio-video data.

[0026] 5. Enhanced Data Security and Privacy Protection: The AI Audio-Video Intelligent Analysis Cloud Platform adopts advanced data security and privacy protection technologies to perform operations such as encrypting, access controlling, and protecting the privacy of user data, ensuring the security and privacy of user data. Data security and privacy protection technologies can prevent data leakage, tampering, and unauthorized access, enhancing users' trust in data security and privacy. The platform also complies with relevant laws, regulations, and privacy policies to ensure the legal use and protection of user data. Brief Description of the Drawings

[0027] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0028] Figure 1 is a schematic structural diagram of the product architecture of the AI Audio-Video Intelligent Analysis Cloud Platform of the present invention;

[0029] Figure 2 is a schematic structural diagram of the video algorithm of the AI Audio-Video Intelligent Analysis Cloud Platform of the present invention;

[0030] Figure 3 is a schematic diagram of the audio algorithm structure of the AI Audio-Video Intelligent Analysis Cloud Platform of the present invention Figure 1 ;

[0031] Figure 4 is a schematic diagram of the audio algorithm structure of the AI Audio-Video Intelligent Analysis Cloud Platform of the present invention Figure 2 . Detailed Embodiments

[0032] The following describes the preferred embodiments of the present invention with reference to the drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0033] Embodiment: As Figures 1 - 4As shown in the figure, the AI audio and video intelligent analysis cloud platform of the present invention includes an AI audio and video intelligent analysis algorithm and a cloud computing platform. It is characterized in that the AI audio and video intelligent analysis algorithm is integrated with the cloud computing platform through API or SDK, and the audio and video data is transmitted to the cloud platform for processing and analysis. The AI audio and video intelligent analysis algorithm is based on technologies such as deep learning and machine learning, and can accurately, quickly and securely process and analyze the audio and video data. The AI audio and video intelligent analysis algorithm includes, but is not limited to, modules such as speech recognition, face recognition, image recognition, and video analysis, and can realize intelligent decision-making and application of the audio and video data. In addition, the cloud computing platform provides high-performance computing resources to support the operation of the AI audio and video intelligent analysis algorithm and the processing and analysis of the audio and video data. The cloud computing platform is based on cloud computing technology and has characteristics such as high availability, scalability and flexibility, and can meet the needs of large-scale audio and video data processing and analysis.

[0034] Among them, the cloud computing platform is connected to a data storage and management system. The cloud computing platform can store the processed audio and video data in the data storage system and obtain data from it for further analysis and application. The data storage and management system is used to store and manage large-scale audio and video data, providing efficient data access and management functions. The system adopts distributed storage and management technologies and has characteristics such as high availability, scalability and flexibility, and can meet the needs of large-scale audio and video data storage and management.

[0035] Among them, the AI audio and video intelligent analysis cloud platform includes a user interface. The user interface communicates with the cloud computing platform through API or web services to obtain the analysis results of the audio and video data and other relevant information. In addition, the user interface can send instructions to the cloud computing platform to control the processing and analysis process of the audio and video data. That is, the user interface communicates with the cloud computing platform through API or web services to obtain the analysis results of the audio and video data and other relevant information, providing user interaction functions. The user interface includes, but is not limited to, web applications, mobile applications, etc., and can meet the different needs of users.

[0036] Among them, the cloud computing platform includes data security and privacy protection technologies. The cloud computing platform integrates data security and privacy protection technologies to perform operations such as encrypting, access controlling and privacy protecting user data. In addition, the cloud computing platform ensures that only authorized users can access and process the audio and video data, protecting the security and privacy of user data. At the same time, the data security and privacy protection technologies perform operations such as encrypting, access controlling and privacy protecting user data, ensuring the security and privacy of user data. The technologies include, but are not limited to, functions such as data encryption, identity authentication, access control, data backup and recovery, and can meet the needs of users for data security and privacy protection.

[0037] Among them, the cloud computing platform and the hardware devices, the cloud computing platform runs on the hardware devices, including servers, storage devices, etc., and the hardware devices provide computing and storage resources to support the operation of the cloud computing platform and the storage of audio and video data. The hardware devices include servers, storage devices, etc., and are used to support the operation of the platform and data storage. The hardware devices have characteristics such as high performance, high availability, and scalability, and can meet the operation of the platform and data storage requirements.

[0038] Among them, the AI audio and video intelligent analysis cloud platform includes a method for constructing a vulnerability knowledge graph:

[0039] Step 1: Through the collected network resources, perform statistical analysis on them based on word frequency, and finally, combining the experience of network security operation personnel, select words to construct a security dictionary;

[0040] Step 2: Construct a network model, select the bert model trained by a large-scale training set as the pre-trained model as the overall network entry, and after passing through a bidirectional long short-term memory network and a conditional random field, output the classification result. This network is fine-tuned and trained through a vulnerability text data set with annotation information, and finally, an inference model is generated after training;

[0041] Step 3: The multi-source vulnerability text data respectively pass through the security dictionary and the artificial intelligence inference model, make entity decisions according to the weight ratio, and perform disambiguation alignment processing on the selected entities;

[0042] Step 4: Determine the entities and fill them into the vulnerability knowledge graph model according to the category content respectively, and establish new entities, attributes, and relationships.

[0043] Among them, the AI audio and video intelligent analysis cloud platform includes a vulnerability knowledge graph model diagram, which consists of 7 entities and 5 attributes. The vulnerability and weakness entities constitute the main elements of the knowledge graph, and other entities such as software and systems are the key nodes for security operation personnel to trace the source. Through the data search of these key entity nodes, the related weaknesses and vulnerabilities can be obtained to complete the traceability.

[0044] Among them, the AI audio and video intelligent analysis cloud platform includes an artificial intelligence network diagram extracted for entities. The entire network consists of bert, a bidirectional long short-term memory network, and a conditional random field. The vulnerability description text information is input into the bert model in the form of words to generate word vectors. The word vectors pass through the bidirectional long short-term memory network to generate a category probability model, and finally, the category of each word is determined through the conditional random field.

[0045] Working principle: 1. AI audio and video intelligent analysis algorithm: The AI audio and video intelligent analysis algorithm in this application is based on technologies such as deep learning and machine learning, and can accurately, quickly and securely process and analyze audio and video data. The algorithm includes, but is not limited to, modules such as speech recognition, face recognition, image recognition, and video analysis, and can realize intelligent decision-making and application of audio and video data.

[0046] 2. Cloud computing platform: The cloud computing platform in this application provides high-performance computing resources to support the operation of the AI audio and video intelligent analysis algorithm and the processing and analysis of audio and video data. Based on cloud computing technology, the platform has characteristics such as high availability, scalability and flexibility, and can meet the needs of large-scale audio and video data processing and analysis.

[0047] 3. Data storage and management system: The data storage and management system in this application is used to store and manage large-scale audio and video data, and provides efficient data access and management functions. The system adopts distributed storage and management technology, has characteristics such as high availability, scalability and flexibility, and can meet the storage and management needs of large-scale audio and video data.

[0048] 4. User interface: The user interface in this application communicates with the cloud computing platform through APIs or web services to obtain the analysis results of audio and video data and other relevant information, and provides user interaction functions. The user interface includes, but is not limited to, web applications, mobile applications, etc., and can meet the different needs of users.

[0049] 5. Data security and privacy protection technology: The data security and privacy protection technology in this application encrypts, access-controls and protects the privacy of user data, and guarantees the security and privacy of user data. The technology includes, but is not limited to, functions such as data encryption, identity authentication, access control, data backup and recovery, and can meet the needs of users for data security and privacy protection.

[0050] 6. Hardware devices: The hardware devices in this application include servers, storage devices, etc., and are used to support the operation of the platform and data storage. The hardware devices have characteristics such as high performance, high availability and scalability, and can meet the operation and data storage needs of the platform.

[0051] Through the cooperation of the above components, the AI audio and video intelligent analysis cloud platform can realize the efficient processing and analysis of large-scale audio and video data, provide accurate, quick and secure intelligent decision-making and applications, and meet the needs of users for audio and video data processing and analysis.

[0052] The following is a more detailed connection relationship between each component:

[0053] 1. AI audio and video intelligent analysis algorithm and cloud computing platform:

[0054] - The AI audio - video intelligent analysis algorithm is integrated with the cloud computing platform through APIs or SDKs, and transmits audio - video data to the cloud platform for processing and analysis.

[0055] - The cloud computing platform provides high - performance computing resources to support the operation of the algorithm and the processing of audio - video data.

[0056] 2. Cloud Computing Platform and Data Storage and Management System:

[0057] - A connection is established between the cloud computing platform and the data storage and management system to achieve the storage and management of audio - video data.

[0058] - The cloud computing platform can store the processed audio - video data in the data storage system and retrieve data for further analysis and application.

[0059] 3. Cloud Computing Platform and User Interface:

[0060] - The user interface communicates with the cloud computing platform through APIs or web services to obtain the analysis results of audio - video data and other relevant information.

[0061] - The user interface can send instructions to the cloud computing platform to control the processing and analysis process of audio - video data.

[0062] 4. Cloud Computing Platform and Data Security and Privacy Protection Technologies:

[0063] - The cloud computing platform integrates data security and privacy protection technologies to perform operations such as encrypting, access - controlling, and protecting the privacy of user data.

[0064] - The cloud computing platform ensures that only authorized users can access and process audio - video data, protecting the security and privacy of user data.

[0065] 5. Cloud Computing Platform and Hardware Devices:

[0066] - The cloud computing platform runs on hardware devices, including servers, storage devices, etc.

[0067] - The hardware devices provide computing and storage resources to support the operation of the cloud computing platform and the storage of audio - video data.

[0068] Through the above connection relationships, the AI audio - video intelligent analysis cloud platform realizes the efficient processing and analysis of audio - video data, while ensuring the security and privacy of user data. Users can interact with the cloud platform through the user interface, obtain the analysis results of audio - video data, and perform corresponding operations and management.

[0069] Finally, it should be noted that in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "vertical", "upper", "lower", "horizontal", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0070] In the description of the present invention, it should also be noted that unless otherwise clearly specified and defined, the terms "set", "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0071] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An AI audio and video intelligent analysis cloud platform, including an AI audio and video intelligent analysis algorithm and a cloud computing platform, is characterized in that, The AI audio and video intelligent analysis algorithm is integrated with the cloud computing platform through APIs or SDKs, and transmits audio and video data to the cloud platform for processing and analysis. Based on technologies such as deep learning and machine learning, the AI audio and video intelligent analysis algorithm can accurately, quickly, and securely process and analyze audio and video data. The AI audio and video intelligent analysis algorithm includes, but is not limited to, modules such as speech recognition, face recognition, image recognition, and video analysis, and can achieve intelligent decision-making and applications for audio and video data. In addition, the cloud computing platform provides high-performance computing resources to support the operation of the AI audio and video intelligent analysis algorithm and the processing and analysis of audio and video data. Based on cloud computing technology, the cloud computing platform has characteristics such as high availability, scalability, and flexibility, and can meet the needs of large-scale audio and video data processing and analysis.

2. The AI audio and video intelligent analysis cloud platform according to claim 1, wherein The cloud computing platform is connected to the data storage and management system. The cloud computing platform can store the processed audio and video data in the data storage system and retrieve data from it for further analysis and application. The data storage and management system is used to store and manage large-scale audio and video data, providing efficient data access and management functions. The system adopts distributed storage and management technologies, has characteristics such as high availability, scalability, and flexibility, and can meet the needs of storing and managing large-scale audio and video data.

3. The AI audio and video intelligent analysis cloud platform according to claim 1, characterized in that The AI audio and video intelligent analysis cloud platform includes a user interface. The user interface communicates with the cloud computing platform through APIs or web services to obtain the analysis results of audio and video data and other relevant information. In addition, the user interface can send instructions to the cloud computing platform to control the processing and analysis process of audio and video data. That is, the user interface communicates with the cloud computing platform through APIs or web services to obtain the analysis results of audio and video data and other relevant information, providing user interaction functions. The user interface includes, but is not limited to, web applications, mobile applications, etc., and can meet the different needs of users.

4. The AI audio and video intelligent analysis cloud platform according to claim 1, characterized in that, The cloud computing platform includes data security and privacy protection technologies. The cloud computing platform integrates data security and privacy protection technologies to perform operations such as encrypting, access controlling, and protecting the privacy of user data. In addition, the cloud computing platform ensures that only authorized users can access and process audio and video data, protecting the security and privacy of user data. At the same time, the data security and privacy protection technologies perform operations such as encrypting, access controlling, and protecting the privacy of user data, ensuring the security and privacy of user data. The technologies include, but are not limited to, functions such as data encryption, identity authentication, access control, data backup, and recovery, and can meet the needs of users for data security and privacy protection.

5. The AI audio and video intelligent analysis cloud platform according to claim 1, wherein The cloud computing platform is related to hardware devices. The cloud computing platform runs on hardware devices, including servers, storage devices, etc. In addition, the hardware devices provide computing and storage resources to support the operation of the cloud computing platform and the storage of audio and video data. The hardware devices include servers, storage devices, etc., and are used to support the operation of the platform and data storage. The hardware devices have characteristics such as high performance, high availability, and scalability, and can meet the needs of the platform's operation and data storage.

6. The AI audio and video intelligent analysis cloud platform according to claim 1, wherein, The AI audio and video intelligent analysis cloud platform includes a method for constructing a vulnerability knowledge graph: Step 1: Through the collected network resources, perform statistical analysis based on word frequency, and finally, combining the experience of network security operation personnel, select words to construct a security dictionary; Step 2: Construct a network model. Select the bert model trained by a large-scale training set as the pre-trained model as the overall network entry. After passing through the bidirectional long short-term memory network and the conditional random field, output the classification result. This network is fine-tuned and trained with a vulnerability text data set with annotation information, and finally, an inference model is generated after training; Step 3: The multi-source vulnerability text data passes through the security dictionary and the artificial intelligence inference model respectively, makes entity decisions according to the weight ratio, and then performs disambiguation alignment processing on the selected entities; Step 4: Determine the entities. According to the category content, fill them into the vulnerability knowledge graph model respectively, and establish new entities, attributes, and relationships.

7. The AI audio and video intelligent analysis cloud platform according to claim 1, characterized in that, The AI audio and video intelligent analysis cloud platform includes a vulnerability knowledge graph model diagram, which consists of 7 entities and 5 attributes. The vulnerability and weakness entities constitute the main elements of the knowledge graph. Other entities such as software and systems are the key nodes for network security operation personnel to trace the source. Through the search of data of these key entity nodes, the related weaknesses and vulnerabilities can be obtained to complete the traceability.

8. The AI audio and video intelligent analysis cloud platform according to claim 1, characterized in that The AI audio and video intelligent analysis cloud platform includes an artificial intelligence network diagram extracted for entities. The entire network is composed of bert, bidirectional long short-term memory network, and conditional random field. The vulnerability description text information is input into the bert model in the form of words to generate word vectors. The word vectors pass through the bidirectional long short-term memory network to generate a category probability model, and finally, the category of each word is determined through the conditional random field.

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