AI communication information identification system

Abstract

The invention discloses an AI communication information identification system, which relates to the technical field of artificial intelligence and communication, and adopts the technical scheme that the AI communication information identification system comprises an AI communication management platform module, and the AI communication management platform module comprises a data management module, an algorithm model library module, a user interaction module and a safety control module, the security control module comprises a security privacy protection module and a real-time monitoring alarm module, the connection end of the security control module is provided with a security architecture module, an AI auxiliary security module and an emergency response module, and the security privacy protection module comprises a data encryption module, a privacy protection module and an access control module. The method has the beneficial effects of realizing automatic, efficient and accurate identification of communication information, remarkably improving the identification efficiency and accuracy, having self-learning and optimization capabilities, being capable of continuously improving the identification performance along with the increase of the data volume and the change of the environment, effectively identifying and intercepting malicious information, protecting the security of a communication network and the privacy of a user, and improving the user experience. And the safety performance is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence and communication technology, and in particular to an AI communication information recognition system. Background Art

[0002] With the rapid development of communication technology, massive amounts of data are frequently transmitted in various communication networks, including sensitive or illegal information.

[0003] Existing information recognition methods often rely on manual rules or simple keyword matching, which have the disadvantages of low recognition rate, high false alarm rate and low communication security performance. Summary of the invention

[0004] To this end, the present invention provides an AI communication information recognition system to solve the problem that information recognition methods often rely on artificial rules or simple keyword matching, have low recognition rate, high false alarm rate and low communication security performance.

[0005] In order to achieve the above-mentioned objectives, the present invention provides the following technical solutions: an AI communication information identification system, comprising an AI communication management platform module, the AI ​​communication management platform module comprising a data management module, an algorithm model library module, a user interaction module and a security control module, the security control module comprising a security and privacy protection module and a real-time monitoring and alarm module, the connection ends of the security control module are respectively provided with a security architecture module, an AI-assisted security module and an emergency response module, the security and privacy protection module comprises a data encryption module, a privacy protection module and an access control module, the access control module comprises a manual review and intervention module, a data periodic inspection module and a data audit module.

[0006] Preferably, the algorithm model library module includes an algorithm selection module and a model optimization module, and the algorithm model library module is data-connected with the algorithm selection module and the model optimization module respectively.

[0007] Preferably, the data management module includes a data acquisition module, a data preprocessing module, a feature extraction module, a model reasoning module, a result processing module and a feedback optimization module, the output end of the data acquisition module is data connected to the input end of the data preprocessing module, the output end of the data preprocessing module is data connected to the input end of the feature extraction module, the output end of the feature extraction module is data connected to the input end of the model reasoning module, the output end of the model reasoning module is data connected to the input end of the result processing module, and the output end of the result processing module is data connected to the input end of the feedback optimization module.

[0008] Preferably, the user interaction module includes a web front-end module, a mobile application module and an API interface module, and the user interaction module is data-connected to the web front-end module, the mobile application module and the API interface module respectively.

[0009] Preferably, the AI ​​communication management platform module is data-connected with the data management module, the algorithm model library module, the user interaction module and the security control module respectively; the security control module is data-connected with the security and privacy protection module and the real-time monitoring and alarm module respectively; the security control module is data-connected with the security architecture module, the AI-assisted security module and the emergency response module respectively; the security and privacy protection module is data-connected with the data encryption module, the privacy protection module and the access control module respectively; the access control module is data-connected with the manual review and intervention module, the data periodic inspection module and the data audit module respectively.

[0010] Preferably, the user interaction module comprises a mounting seat, two fixing columns are fixedly provided on one side of the mounting seat, a fixing plate is fixedly provided on one end of each of the two fixing columns, a connecting plate is fixedly provided between the two fixing plates, a baffle is fixedly provided on one side of each of the two fixing plates, two connecting rods are fixedly provided on one side of each of the two fixing plates, a card shell is fixedly provided on one end of each of the connecting rods, and an interactive display component is provided on one side of the connecting plate;

[0011] The interactive display component includes an interactive device body, which is arranged on one side of the connecting plate, and two T-shaped shells are fixedly provided on one side of the interactive device body, and two connecting shafts are connected to the inside of the T-shaped shell through bearings, and gears are fixedly sleeved on the outside of the two connecting shafts, and a U-shaped tooth plate is provided on one side of the T-shaped shell, and the U-shaped tooth plate passes through the T-shaped shell and is slidably connected to the T-shaped shell, and the U-shaped tooth plate is meshed with the two gears, and a push plate is fixedly provided on one side of the U-shaped tooth plate, and tooth plates are provided on one side of the two gears, and the gears are meshed with the tooth plates, and a card block is fixedly provided on one side of the two tooth plates, and the card block slides inside the T-shaped shell, and the card block is snapped with the card shell.

[0012] Preferably, two telescopic rods are fixedly connected between the U-shaped tooth plate and the T-shaped shell, and springs are sleeved outside the two telescopic rods.

[0013] Preferably, a top plate is fixedly provided on one side of the connecting plate.

[0014] Preferably, a slide groove is provided on one side of the connecting plate, a slider is provided inside the slide groove, the slider slides inside the slide groove, a mounting plate is fixedly provided on one side of the slider, a protective shell is fixedly provided on one side of the mounting plate, and a magnet is fixedly provided on one side of the protective shell.

[0015] The embodiments of the present invention have the following advantages:

[0016] 1. Realize automatic, efficient and accurate recognition of communication information, significantly improve recognition efficiency and accuracy, have self-learning and optimization capabilities, and be able to continuously improve recognition performance as the amount of data increases and the environment changes, effectively identify and intercept malicious information, protect the security of communication networks and user privacy, improve security performance, and provide a visual interface for system configuration, monitoring, result display and user interaction, which is convenient for operation and use;

[0017] 2. The U-shaped toothed plate drives the gear to rotate, the gear drives the toothed plate to move, the toothed plate drives the block to move out of the T-shaped shell and into the card shell, thereby completing the installation of the interactive device body, pushing the protective shell, the protective shell drives the mounting plate to move, the mounting plate drives the slider to move, the slider slides inside the slide groove, the magnet on the top of the protective shell contacts and adsorbs the top plate, so that the protective shell protects the interactive device body to prevent the interactive device body screen from being stained with dust when not in use, with high practicality and good safety protection performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0019] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0020] Figure 1 A schematic diagram of the AI ​​communication management platform module system structure provided by the present invention;

[0021] Figure 2 A schematic diagram of the data management module system structure provided by the present invention;

[0022] Figure 3 A schematic diagram of the user interaction module system structure provided by the present invention;

[0023] Figure 4 A schematic diagram of the structure of the safety control module system provided by the present invention;

[0024] Figure 5 A front view of the protective housing provided by the present invention;

[0025] Figure 6 A rear view of the protective housing provided by the present invention;

[0026] Figure 7 A side view of the interactive display assembly provided by the present invention;

[0027] Figure 8 The interactive display assembly provided by the present invention is a side view and a cross-sectional view Figure 1 ;

[0028] Fig. 9 The interactive display assembly provided by the present invention is a side view and a cross-sectional view Figure 2 ;

[0029] Fig.10 The T-shell section provided by the present invention Figure 1 ;

[0030] Fig.11 The T-shell section provided by the present invention Figure 2 .

[0031] In the figure: 1. AI communication management platform module; 2. Data management module; 3. Algorithm model library module; 4. User interaction module; 5. Security control module; 6. Algorithm selection module; 7. Model optimization module; 8. Data acquisition module; 9. Data preprocessing module; 10. Feature extraction module; 11. Model reasoning module; 12. Result processing module; 13. Feedback optimization module; 14. Web front-end module; 15. Mobile application module; 16. API interface module; 17. Security and privacy protection module; 18. Real-time monitoring and alarm module; 19. Data encryption module; 20. Privacy protection module; 21. Access control module; 22 , manual review intervention module; 23. Data periodic inspection module; 24. Data audit module; 25. Security architecture module; 26. AI-assisted security module; 27. Emergency response module; 28. Mounting seat; 29. ​​Protective shell; 30. Top plate; 31. Connecting plate; 32. Mounting plate; 33. Fixed column; 34. Fixed plate; 35. Connecting rod; 36. Card shell; 37. Interactive device body; 38. Baffle; 39. U-shaped tooth plate; 40. Push plate; 41. T-shaped shell; 42. Magnet; 43. Slider; 44. Slide; 45. Block; 46. Connecting shaft; 47. Gear; 48. Telescopic rod; 49. Spring; 50. Tooth plate. DETAILED DESCRIPTION

[0032] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Refer to the attached Figure 1 -Attached Fig.11 The present invention provides an AI communication information identification system, including an AI communication management platform module 1, the AI ​​communication management platform module 1 includes a data management module 2, an algorithm model library module 3, a user interaction module 4 and a security control module 5, the security control module 5 includes a security privacy protection module 17 and a real-time monitoring alarm module 18, the connection end of the security control module 5 is respectively provided with a security architecture module 25, an AI auxiliary security module 26 and an emergency response module 27, the security privacy protection module 17 includes a data encryption module 19, a privacy protection module 20 and an access control module 21, the access control module 21 includes a manual review intervention module 22, a data periodic inspection module 23, a data Audit module 24, the AI ​​communication management platform module 1 is respectively connected to the data management module 2, the algorithm model library module 3, the user interaction module 4 and the security control module 5, the security control module 5 is respectively connected to the security privacy protection module 17 and the real-time monitoring alarm module 18, the security control module 5 is respectively connected to the security architecture module 25, the AI ​​assisted security module 26 and the emergency response module 27, the security privacy protection module 17 is respectively connected to the data encryption module 19, the privacy protection module 20 and the access control module 21, the access control module 21 is respectively connected to the manual review intervention module 22, the data periodic inspection module 23, and the data audit module 24;

[0034] In this implementation scheme, the data management module 2 is responsible for the storage, retrieval and management of data. The algorithm model library module 3 contains a variety of machine learning / deep learning algorithms and pre-trained models, and supports dynamic selection and switching. The user interaction module 4 provides a visual interface for system configuration, monitoring, result display and user interaction. The security control module 5 ensures that the transmission, storage and processing of communication data comply with security specifications and protects user privacy. The security and privacy protection module 17 ensures the security of communication data during transmission and storage, prevents data leakage and tampering, and strictly protects user privacy information from being abused or leaked. The real-time monitoring alarm module 18 monitors the system's CPU usage, memory usage, and network bandwidth in real time. The anomaly detection algorithm is used to identify anomalies in the system, such as data anomalies and model performance degradation. The alarm threshold is set, and when an abnormal situation is detected, an alarm notification is automatically sent to relevant personnel for timely response and processing. The data encryption module 19 ensures data transmission The privacy protection module 20 ensures that user privacy is not leaked. The access control module 21 implements strict access control policies to prevent unauthorized access to data. The manual review and intervention module 22 can conduct manual reviews to ensure the accuracy of the recognition results when there are disputes or large uncertainties in the system recognition results. In specific scenarios, such as when processing sensitive information or important decisions, a manual intervention mechanism can be introduced to ensure the reliability of the system. The data regular inspection module 23 regularly reviews system operations. The data audit module 24 establishes a data audit mechanism to record every step of data processing for traceability and investigation. The security architecture module 25 builds a multi-level security protection system, including network security, system security and data security. The AI-assisted security module 26 uses AI technology to detect potential security threats. The emergency response module 27 formulates emergency plans to deal with possible security incidents such as data leaks and system attacks.

[0035] Among them, in order to achieve the purpose of algorithm selection optimization, the present device is implemented by the following technical solutions: the algorithm model library module 3 includes an algorithm selection module 6 and a model optimization module 7, and the algorithm model library module 3 is respectively connected with the algorithm selection module 6 and the model optimization module 7 by data, and the algorithm selection module 6 selects a suitable algorithm and model according to the type of communication information. For text information, an algorithm in the field of natural language processing (NLP) can be selected, and for voice information, an algorithm in the field of voice recognition can be selected. Through the hyperparameter tuning, model fusion, transfer learning and other technical means of the model optimization module 7, the recognition accuracy of the model is continuously improved;

[0036] Among them, in order to achieve the purpose of data management, the present device is implemented by the following technical scheme: the data management module 2 includes a data acquisition module 8, a data preprocessing module 9, a feature extraction module 10, a model reasoning module 11, a result processing module 12 and a feedback optimization module 13, the output end of the data acquisition module 8 is data connected to the input end of the data preprocessing module 9, the output end of the data preprocessing module 9 is data connected to the input end of the feature extraction module 10, the output end of the feature extraction module 10 is data connected to the input end of the model reasoning module 11, the output end of the model reasoning module 11 is data connected to the input end of the result processing module 12, the output end of the result processing module 12 is data connected to the input end of the feedback optimization module 13, and the data acquisition module 8 is connected to the input end of the data preprocessing module 9. The collection module 8 captures data from various communication channels in real time or at a fixed time. The data preprocessing module 9 cleans, formats, denoises and processes the collected raw data to convert it into a format suitable for AI model processing, including text formatting, speech recognition to text, image recognition and other preprocessing technologies. The feature extraction module 10 extracts key features from the preprocessed data. The features can be keywords, semantic features, sentiment analysis indicators in the text, or specific shapes and colors in the image. The model reasoning module 11 inputs the extracted features into the AI ​​model to obtain the recognition results. The result processing module 12 performs corresponding operations according to the recognition results, including alarm, classification, and storage. The feedback optimization module 13 collects feedback, evaluates model performance, and updates the model regularly.

[0037] Among them, in order to achieve the purpose of user interaction, the present device is implemented by the following technical solutions: the user interaction module 4 includes a web front-end module 14, a mobile application module 15 and an API interface module 16, and the user interaction module 4 is respectively connected with the web front-end module 14, the mobile application module 15 and the API interface module 16. A Web interface is developed through the web front-end module 14 to allow users to upload data, view recognition results, configure system parameters, etc. The mobile application module 15 develops supporting applications for smart phones and tablet computers to provide convenient remote access and control functions. The API interface module 16 provides an API interface to allow other systems or services to interact with the present system through HTTP requests;

[0038] Among them, in order to achieve the purpose of installation, the present device is implemented by the following technical solutions: the user interaction module 4 includes a mounting seat 28, two fixing columns 33 are fixedly provided on one side of the mounting seat 28, and a fixing plate 34 is fixedly provided at one end of the two fixing columns 33, a connecting plate 31 is fixedly provided between the two fixing plates 34, a baffle 38 is fixedly provided on one side of the two fixing plates 34, two connecting rods 35 are fixedly provided on one side of the two fixing plates 34, and a card shell 36 is fixedly provided at one end of the connecting rod 35, and an interactive display component is provided on one side of the connecting plate 31;

[0039] The interactive display component includes an interactive device body 37, which is arranged on one side of the connecting plate 31. Two T-shaped shells 41 are fixedly provided on one side of the interactive device body 37. Two connecting shafts 46 are connected to the inside of the T-shaped shell 41 through bearings. Gears 47 are fixedly sleeved on the outside of the two connecting shafts 46. A U-shaped tooth plate 39 is provided on one side of the T-shaped shell 41. The U-shaped tooth plate 39 penetrates the T-shaped shell 41 and is slidably connected to the T-shaped shell 41. The U-shaped tooth plate 39 is meshed with the two gears 47. A push plate 40 is fixedly provided on one side of the U-shaped tooth plate 39. A tooth plate 50 is provided on one side of the two gears 47. The gears 47 are meshed with the tooth plate 50. A block 45 is fixedly provided on one side of the two tooth plates 50. The block 45 slides inside the T-shaped shell 41. The block 45 is buckled with the block shell 36. The U-shaped tooth plate 39 and the T-shaped shell 41 are fixedly connected. There are two telescopic rods 48 connected to the fixed part, and springs 49 are provided on the outer sides of the two telescopic rods 48 to pull the two push plates 40 on the rear side of the interactive device body 37 to both sides, and the push plates 40 drive the U-shaped toothed plate 39 to move, and the telescopic rods 48 and springs 49 on one side of the U-shaped toothed plate 39 are compressed, and the U-shaped toothed plate 39 drives the gear 47 to rotate, and the gear 47 drives the toothed plate 50 to move, and the toothed plate 50 drives the card block 45 to move, and the card block 45 is retracted into the T-shaped shell 41, and then the T-shaped shell 41 is pushed between the two card shells 36, and the T-shaped shell 41 contacts the baffle 38 to prevent the T-shaped shell 41 from shifting, and then the pull on the push plate 40 is released, and the telescopic rod 48 and spring 49 rebound and push the U-shaped toothed plate 39 to move, so that the U-shaped toothed plate 39 drives the gear 47 to rotate, and the gear 47 drives the toothed plate 50 to move, and the toothed plate 50 drives the card block 45 to move out of the T-shaped shell 41 and enter the card shell 36, thereby completing the installation of the interactive device body 37;

[0040] Among them, in order to achieve the purpose of protection, the present device is implemented by the following technical solutions: a top plate 30 is fixedly arranged on one side of the connecting plate 31, a slide groove 44 is opened on one side of the connecting plate 31, a slider 43 is arranged inside the slide groove 44, the slider 43 slides inside the slide groove 44, a mounting plate 32 is fixedly arranged on one side of the slider 43, a protective shell 29 is fixedly arranged on one side of the mounting plate 32, a magnet 42 is fixedly arranged on one side of the protective shell 29, the magnet 42 is adsorbed on the top plate 30, and the protective shell 29 is pushed, the protective shell 29 drives the mounting plate 32 to move, the mounting plate 32 drives the slider 43 to move, the slider 43 slides inside the slide groove 44, the magnet 42 on the top of the protective shell 29 contacts and adsorbs on the top plate 30, so that the interactive device body 37 is protected by the protective shell 29 to prevent the screen of the interactive device body 37 from being stained with dust when not in use, and when the interactive device body 37 needs to be used interactively, the protective shell 29 is pushed down to expose the interactive device body 37 to the outside for convenient interactive use.

[0041] The use process of the present invention is as follows:

[0042] The data management module 2 is responsible for the storage, retrieval and management of data. The algorithm model library module 3 contains a variety of machine learning / deep learning algorithms and pre-trained models, and supports dynamic selection and switching. The user interaction module 4 provides a visual interface for system configuration, monitoring, result display and user interaction. The security control module 5 ensures that the transmission, storage and processing of communication data comply with security specifications and protects user privacy. The security and privacy protection module 17 ensures the security of communication data during transmission and storage, prevents data leakage and tampering, and strictly protects user privacy information from being abused or leaked. The real-time monitoring alarm module 18 monitors the system's CPU usage, memory usage, and network bandwidth in real time, and identifies abnormal conditions in the system through anomaly detection algorithms. If there are data anomalies or model performance degradation, set alarm thresholds and automatically send alarm notifications to relevant personnel when abnormal situations are detected so that they can respond and handle them in a timely manner. The data encryption module 19 ensures data security during data transmission and storage. The privacy protection module 20 ensures that user privacy is not leaked. The access control module 21 implements strict access control policies to prevent unauthorized access to data. The manual review intervention module 22 can perform manual reviews to ensure the accuracy of the recognition results when there are disputes or large uncertainties in the system recognition results. In specific scenarios, such as when processing sensitive information or important decisions, a manual intervention mechanism can be introduced to ensure the reliability of the system. The system operation is regularly reviewed through the data regular inspection module 23. The audit module 24 establishes a data audit mechanism to record every step of data processing for tracing and investigation. The security architecture module 25 builds a multi-level security protection system, including network security, system security and data security. The AI-assisted security module 26 uses AI technology to detect potential security threats. The emergency response module 27 formulates emergency plans to deal with possible security incidents such as data leakage and system attacks. The algorithm selection module 6 selects appropriate algorithms and models according to the type of communication information. For text information, algorithms in the field of natural language processing (NLP) can be selected. For voice information, algorithms in the field of voice recognition can be selected. The model optimization module 7 uses technical means such as hyperparameter tuning, model fusion, and transfer learning. Continuously improve the recognition accuracy of the model. The data acquisition module 8 captures data from various communication channels in real time or at a fixed time. The data preprocessing module 9 cleans, formats, denoises and processes the collected raw data to convert it into a format suitable for AI model processing, including text formatting, speech recognition to text, image recognition and other preprocessing technologies. The feature extraction module 10 extracts key features from the preprocessed data. The features can be keywords, semantic features, sentiment analysis indicators in the text, or specific shapes and colors in the image. The model reasoning module 11 inputs the extracted features into the AI ​​model to obtain the recognition results. The result processing module 12 performs corresponding operations according to the recognition results, including alarm, classification, and storage. The feedback optimization module 13 collects feedback.Evaluate model performance, update the model regularly, develop a web interface through the web front-end module 14, allowing users to upload data, view recognition results, configure system parameters, etc. The mobile application module 15 develops supporting applications for smartphones and tablets to provide convenient remote access and control functions. The API interface module 16 provides an API interface to allow other systems or services to interact with this system through HTTP requests;

[0043] When using the present invention, the two push plates 40 on the rear side of the interactive device body 37 are pulled to both sides, the push plates 40 drive the U-shaped toothed plate 39 to move, the telescopic rod 48 and the spring 49 on one side of the U-shaped toothed plate 39 are compressed, the U-shaped toothed plate 39 drives the gear 47 to rotate, the gear 47 drives the toothed plate 50 to move, the toothed plate 50 drives the block 45 to move, the block 45 retracts into the T-shaped shell 41, and then the T-shaped shell 41 is pushed between the two block shells 36, the T-shaped shell 41 contacts the baffle 38 to prevent the T-shaped shell 41 from deflecting, and then the push plate 40 is released, the telescopic rod 48 and the spring 49 rebound and push the U-shaped toothed plate 39 to move, so that the U-shaped toothed plate 39 drives the gear 47 to rotate The gear 47 drives the tooth plate 50 to move, and the tooth plate 50 drives the block 45 to move out of the T-shell 41 and into the card shell 36, thereby completing the installation of the interactive device body 37, pushing the protective shell 29, the protective shell 29 drives the mounting plate 32 to move, the mounting plate 32 drives the slider 43 to move, the slider 43 slides inside the slide groove 44, and the magnet 42 on the top of the protective shell 29 contacts and adsorbs the top plate 30, so that the interactive device body 37 is protected by the protective shell 29 to prevent the screen of the interactive device body 37 from being stained with dust when not in use. When the interactive device body 37 needs to be used interactively, the protective shell 29 is pushed down to expose the interactive device body 37 to facilitate interactive use.

[0044] The above is only a preferred embodiment of the present invention. Any person skilled in the art may modify the present invention by using the above technical solution or modify it into an equivalent technical solution. Therefore, any simple modification or equivalent replacement made according to the technical solution of the present invention shall fall within the scope of protection claimed by the present invention.

Claims

1. An AI communication information identification system, comprising an AI communication management platform module (1), characterized in that: The AI ​​communication management platform module (1) comprises a data management module (2), an algorithm model library module (3), a user interaction module (4) and a security control module (5); the security control module (5) comprises a security and privacy protection module (17) and a real-time monitoring and alarm module (18); the connection end of the security control module (5) is respectively provided with a security architecture module (25), an AI auxiliary security module (26) and an emergency response module (27); the security and privacy protection module (17) comprises a data encryption module (19), a privacy protection module (20) and an access control module (21); the access control module (21) comprises a manual review and intervention module (22), a data periodic inspection module (23) and a data audit module (24).

2. The AI ​​communication information recognition system according to claim 1, characterized in that: The algorithm model library module (3) comprises an algorithm selection module (6) and a model optimization module (7), and the algorithm model library module (3) is respectively data-connected with the algorithm selection module (6) and the model optimization module (7).

3. The AI ​​communication information recognition system according to claim 1, characterized in that: The data management module (2) comprises a data acquisition module (8), a data preprocessing module (9), a feature extraction module (10), a model inference module (11), a result processing module (12) and a feedback optimization module (13); the output end of the data acquisition module (8) is data-connected to the input end of the data preprocessing module (9); the output end of the data preprocessing module (9) is data-connected to the input end of the feature extraction module (10); the output end of the feature extraction module (10) is data-connected to the input end of the model inference module (11); the output end of the model inference module (11) is data-connected to the input end of the result processing module (12); and the output end of the result processing module (12) is data-connected to the input end of the feedback optimization module (13).

4. The AI ​​communication information recognition system according to claim 1, characterized in that: The user interaction module (4) comprises a web front-end module (14), a mobile application module (15) and an API interface module (16); the user interaction module (4) is data-connected to the web front-end module (14), the mobile application module (15) and the API interface module (16) respectively.

5. The AI ​​communication information recognition system according to claim 1, characterized in that: The AI ​​communication management platform module (1) is respectively connected to the data management module (2), the algorithm model library module (3), the user interaction module (4) and the security control module (5); the security control module (5) is respectively connected to the security and privacy protection module (17) and the real-time monitoring and alarm module (18); the security control module (5) is respectively connected to the security architecture module (25), the AI ​​auxiliary security module (26) and the emergency response module (27); the security and privacy protection module (17) is respectively connected to the data encryption module (19), the privacy protection module (20) and the access control module (21); the access control module (21) is respectively connected to the manual review and intervention module (22), the data periodic inspection module (23) and the data audit module (24).

6. The AI ​​communication information recognition system according to claim 1, characterized in that: The user interaction module (4) comprises a mounting seat (28), two fixing columns (33) are fixedly provided on one side of the mounting seat (28), a fixing plate (34) is fixedly provided at one end of each of the two fixing columns (33), a connecting plate (31) is fixedly provided between the two fixing plates (34), a baffle (38) is fixedly provided on one side of each of the two fixing plates (34), two connecting rods (35) are fixedly provided on one side of each of the two fixing plates (34), a card shell (36) is fixedly provided at one end of each of the connecting rods (35), and an interactive display component is provided on one side of the connecting plate (31); The interactive display assembly comprises an interactive device body (37), the interactive device body (37) being arranged on one side of the connecting plate (31), two T-shaped shells (41) being fixedly arranged on one side of the interactive device body (37), two connecting shafts (46) being connected inside the T-shaped shell (41) via bearings, gears (47) being fixedly sleeved outside the two connecting shafts (46), a U-shaped toothed plate (39) being arranged on one side of the T-shaped shell (41), and the U-shaped toothed plate (39) passing through the T-shaped shell (41). ) and is slidably connected to the T-shaped shell (41), the U-shaped toothed plate (39) meshes with the two gears (47), a push plate (40) is fixedly provided on one side of the U-shaped toothed plate (39), a toothed plate (50) is provided on one side of the two gears (47), the gears (47) mesh with the toothed plate (50), a clamping block (45) is fixedly provided on one side of the two toothed plates (50), the clamping block (45) slides inside the T-shaped shell (41), and the clamping block (45) is buckled with the clamping shell (36).

7. The AI ​​communication information recognition system according to claim 6, characterized in that: Two telescopic rods (48) are fixedly connected between the U-shaped tooth plate (39) and the T-shaped shell (41), and springs (49) are sleeved outside the two telescopic rods (48).

8. The AI ​​communication information recognition system according to claim 6, characterized in that: A top plate (30) is fixedly provided on one side of the connecting plate (31).

9. The AI ​​communication information recognition system according to claim 8, characterized in that: A slide groove (44) is provided on one side of the connecting plate (31), a slider (43) is provided inside the slide groove (44), the slider (43) slides inside the slide groove (44), a mounting plate (32) is fixedly provided on one side of the slider (43), a protective shell (29) is fixedly provided on one side of the mounting plate (32), a magnet (42) is fixedly provided on one side of the protective shell (29), and the magnet (42) is attracted to the top plate (30).

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