Remote conference participation management system

Abstract

The invention discloses a teleconference participation management system, relates to the technical field of data communication, and solves the problems that bandwidth resources are wasted, data storage and playback are limited, and identity verification is not strict. Aiming at bandwidth waste, the system dynamically calculates a content transmission priority Px and a bandwidth utilization rate optimization factor By in real time through a transmission optimization module, and generates a dynamic distribution strategy, so that low-delay transmission is provided for high-priority data streams, and bandwidth resource waste is avoided; for a data storage problem, a storage management module collects data blocks based on a block chain technology and verifies the data blocks, then calculates a recording integrity index Dx and triggers a recovery mechanism to ensure storage reliability and recoverability of recorded contents; in order to solve the problem that identity verification is not rigorous, the identity management module calculates an identity credibility index Cx through multi-factor authentication, evaluates the authority and outputs an optimal management strategy, and the conference safety and the resource utilization efficiency are comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data communications, and in particular to a remote conference participation management system. Background Art

[0002] Remote conference participation management systems stem from the rapid development of information and communications technologies in the late 20th century, particularly the widespread adoption of video conferencing systems. Traditional face-to-face meetings, due to time and space constraints, are unable to meet the demands of modern distributed team collaboration. With the rise of the internet and mobile communications, web-based remote conferencing systems are gradually replacing traditional meeting formats, providing efficient communication solutions for businesses and organizations.

[0003] In recent years, with the widespread application of artificial intelligence, big data, and cloud computing technologies, remote conferencing systems have further developed, not only supporting audio and video transmission, but also enabling real-time collaboration, intelligent translation, and participant behavior analysis. However, existing systems also have the following technical shortcomings:

[0004] Waste of bandwidth resources: In large-scale conferences, the system fails to dynamically adjust data transmission strategies, resulting in irrelevant content occupying excessive bandwidth.

[0005] Limited data storage and playback: Some systems have limited support for the storage and playback of conference recordings, which may result in the loss of recording files or inefficient retrieval.

[0006] Inaccurate authentication: Existing systems rely on simple passwords or links for authentication, which can easily lead to unauthorized users entering or impersonating others. Summary of the Invention

[0007] In view of the deficiencies of the existing technology, the present invention provides a remote conference participation management system, which solves the technical problems mentioned in the background technology, such as bandwidth resource waste, data storage and playback limitations, and lax identity authentication.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a remote conference participation management system, including an identity management module, a transmission optimization module, a storage management module, a data efficiency calculation module and an intelligent control module;

[0009] The identity management module is used to verify the identity of participants based on multi-factor authentication technology, including facial recognition, device fingerprint analysis and behavioral pattern comparison, generate and evaluate the identity credibility index Cx; when the identity credibility index Cx is lower than the preset credibility threshold Qx, a verification warning is triggered and the meeting rights of the corresponding participant are restricted;

[0010] The transmission optimization module is used to dynamically monitor the traffic characteristics of the real-time data stream of the remote conference, calculate the content transmission priority Px, and generate a dynamic distribution strategy based on the conference scale and network bandwidth load, including adjusting the transmission path and bandwidth resources, and finally calculating the bandwidth utilization optimization factor By;

[0011] The storage management module is used to securely store and retrieve conference recordings based on blockchain technology, generate a recording integrity index Dx, and preset a storage integrity threshold Wx based on the access frequency and importance of the recordings. The recording integrity index Dx is compared with the storage integrity threshold Wx to automatically trigger a data recovery mechanism.

[0012] The data efficiency calculation module is used to calculate the participation activity index Ax based on the real-time interactive behavior data of the conference participants, and generate the system resource utilization efficiency index Zy by combining the relevant data in the transmission optimization module and the storage management module;

[0013] The intelligent control module is used to generate a comprehensive control index Gz by combining the identity credibility index Cx, bandwidth utilization optimization factor By, recording integrity index Dx and system resource utilization efficiency index Zy through a deep learning algorithm; finally, the comprehensive control index Gz is compared with the preset optimization threshold Nz. When the comprehensive control index Gz reaches the preset optimization threshold Nz, a remote conference operation optimization report is generated and the optimal participation management strategy is output.

[0014] Preferably, the identity management module includes an identity feature calculation unit and an identity verification unit;

[0015] The identity feature calculation unit is used to collect the identity feature data of the participants based on multi-factor authentication technology, including facial recognition-related data, device fingerprint-related data, and behavior pattern-related data; then, feature extraction and fusion analysis are performed on the identity feature data to obtain the facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw, and login environment security value Aq, and generate the identity credibility index Cx using the following formula: ;

[0016] Finally, the identity credibility index Cx is passed to the identity authentication unit.

[0017] Preferably, the identity authentication unit is used to receive the identity credibility index Cx generated by the identity calculation unit and preset a credibility threshold Qx; compare the identity credibility index Cx with the credibility threshold Qx to generate an identity authentication result, the specific contents of which are as follows:

[0018] If the identity credibility index Cx ≥ the credibility threshold Qx, the identity is considered credible. An identity verification result is generated, the participant is allowed to enter the meeting, and the corresponding meeting permissions are granted.

[0019] If the identity credibility index Cx is less than the trust threshold Qx, it means that the identity is in doubt; an identity authentication warning result is generated and countermeasures are taken, including restricting the participant's permissions or sending an identity anomaly reminder to the system administrator, accompanied by the identity credibility index Cx and detailed values ​​of specific parameters.

[0020] Preferably, the transmission optimization module includes a flow calculation unit and a transmission evaluation unit;

[0021] The traffic calculation unit is used to collect and analyze traffic characteristics of the real-time data stream of the remote conference, extract transmission-related data of the audio stream, video stream, and screen sharing stream, including packet size, transmission rate, and delay duration; specifically, it extracts the data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It, and load fluctuation coefficient Lv, and calculates the content transmission priority Px of each data stream. The specific calculation formula is as follows: ;

[0022] Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for the load fluctuation Lv;

[0023] Then, a dynamic distribution strategy is generated based on the conference scale and real-time network bandwidth load, including sorting the content transmission priority Px of each data stream from high to low, and giving priority to the data stream with the highest content transmission priority Px.

[0024] Preferably, the transmission evaluation unit is used to receive the content transmission priority Px and dynamic distribution strategy generated by the traffic calculation unit, and use a network monitoring tool to monitor the adjusted transmission path and bandwidth resource usage in real time, obtain the actual bandwidth occupancy rate Bwr, data transmission success rate Ts, data flow congestion ratio Cr and dynamically adjusted response time Rt, and finally use the following formula to generate a bandwidth utilization optimization factor By; .

[0025] Preferably, the storage management module includes an integrity calculation unit and an integrity assessment unit;

[0026] The integrity calculation unit is used to segment and encrypt the conference recording content into data blocks based on blockchain technology, generate a hash value for each data block, and verify the integrity of the storage through the blockchain network. At the same time, it collects the data block verification success rate Vs in real time, then obtains the data block availability rate Ar, access completeness rate Cr, and data redundancy coverage rate Rc by reading log records, and finally calculates the recording integrity index Dx. The specific calculation formula is as follows: .

[0027] Preferably, the integrity evaluation unit is used to compare the recording integrity index Dx with the storage integrity threshold Wx. The specific comparison content is as follows:

[0028] If the recording integrity index Dx ≥ the storage integrity threshold Wx, it indicates that the recording content meets the integrity requirements and there is no need to trigger data recovery;

[0029] When the recording integrity index Dx is less than the storage integrity threshold Wx, it indicates that the recorded content does not meet the integrity requirements, and the data recovery mechanism is automatically triggered, including regenerating lost data blocks or synchronizing backup content; at the same time, the evaluation results are recorded in the system storage log as a basis for optimizing storage strategies.

[0030] Preferably, the data efficiency calculation module is used to monitor the real-time interactive behavior data of conference participants in real time and perform dimensionless processing, including the speaking frequency Sfy, the number of screen sharing times Spg, the number of chat messages Slt, and the number of responses to voting or feedback Sxy, and then calculate the participation activity index Ax using the following formula: ;

[0031] Secondly, by extracting the data packet loss rate Lp and load fluctuation coefficient Lv from the transmission optimization module, as well as the data block availability rate Ar and access completeness rate Cr from the storage management module, and fitting them with the participation activity index Ax, the system resource utilization efficiency index Zy is calculated using the following formula: ;

[0032] Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to smooth the impact of the data packet loss rate Lp.

[0033] Preferably, the intelligent control module includes a control calculation unit and an optimization evaluation unit;

[0034] The control calculation unit is used to comprehensively process the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource utilization efficiency index Zy based on the deep learning algorithm, and calculate the comprehensive control index Gz in combination with the following formula: .

[0035] Preferably, the optimization evaluation unit is used to preset an optimization threshold Nz, and compare and evaluate the optimization threshold Nz with the comprehensive control index Gz. The specific evaluation content is as follows:

[0036] If the comprehensive control index Gz ≥ the optimization threshold Nz, it means that the current system status meets the standard. At this time, a remote conference operation optimization report is generated and the optimal participation management strategy is output, including identity management adjustment, dynamic adjustment of transmission priority, and resource allocation adjustment.

[0037] If the comprehensive control index Gz is less than the optimization threshold Nz, it means that the current system status does not meet the standard; at this time, further optimization adjustment is triggered; and feedback is given to the identity management module, transmission optimization module and storage management module for solution adjustment.

[0038] The present invention provides a remote conference participation management system. It has the following beneficial effects:

[0039] (1) This remote conference participation management system effectively solves the problem of bandwidth resource waste; through the traffic calculation unit and transmission evaluation unit of the transmission optimization module, key parameters such as data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It and load fluctuation coefficient Lv are collected in real time, and content transmission priority Px and bandwidth utilization optimization factor By are dynamically calculated; combined with the conference scale and real-time network bandwidth load, a dynamic distribution strategy is generated, including adjusting the transmission path and optimizing bandwidth allocation, giving priority to providing low-latency and high-bandwidth transmission guarantees for high-priority data streams, significantly improving the efficiency and stability of data transmission; at the same time, the system further avoids irrelevant content from occupying too much bandwidth resources through multi-path transmission strategies and real-time monitoring of network congestion.

[0040] (2) This remote conference participation management system addresses the problem of limited data storage and playback. The storage management module uses the integrity calculation unit and the integrity assessment unit to implement block storage and verification of conference recording content based on blockchain technology, collects data block verification success rate Vs, data block availability rate Ar, access integrity rate Cr and data redundancy coverage rate Rc in real time, and accurately evaluates storage integrity by calculating the recording integrity index Dx. When the recording integrity index Dx is lower than the preset storage integrity threshold Wx, the data recovery mechanism is automatically triggered, including regenerating lost data blocks and synchronizing backup content to ensure the integrity and retrievability of the recording file. In addition, by dynamically optimizing the storage strategy and generating system storage logs, the reliability of the recording content in high-frequency access and long-term preservation is further improved.

[0041] (3) A remote conference participation management system is designed to solve the problem of lax identity authentication. The identity management module collects facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw and login environment security value Aq through the identity feature calculation unit and the identity authentication unit in combination with multi-factor authentication technology, calculates the identity credibility index Cx and compares it with the preset credibility threshold Qx. When the identity credibility index Cx is lower than the credibility threshold Qx, the system generates an identity authentication warning and effectively prevents unauthorized users from entering by restricting the participant's permissions or sending an abnormal reminder to the system administrator. Further combined with the deep learning algorithm, the intelligent control module comprehensively processes the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource utilization efficiency index Zy to generate a comprehensive control index Gz. When the comprehensive control index Gz reaches the preset optimization threshold Nz, the system outputs the optimal participation management strategy to improve the overall security and management efficiency of remote conferences from multiple dimensions such as identity authentication, transmission optimization and storage allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of the framework structure of a remote conference participation management system of the present invention; DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0044] Example 1

[0045] See also Figure 1 , the present invention provides a remote conference participation management system, including an identity management module, a transmission optimization module, a storage management module, a data efficiency calculation module and an intelligent control module;

[0046] The identity management module is used to verify the identity of participants based on multi-factor authentication technology, including facial recognition, device fingerprint analysis and behavioral pattern comparison, generate and evaluate the identity credibility index Cx; when the identity credibility index Cx is lower than the preset credibility threshold Qx, a verification warning is triggered and the meeting rights of the corresponding participant are restricted;

[0047] The transmission optimization module is used to dynamically monitor the traffic characteristics of the real-time data stream of the remote conference, calculate the content transmission priority Px, and generate a dynamic distribution strategy based on the conference scale and network bandwidth load, including adjusting the transmission path and bandwidth resources, and finally calculating the bandwidth utilization optimization factor By;

[0048] The storage management module is used to securely store and retrieve conference recordings based on blockchain technology, generate a recording integrity index Dx, and preset a storage integrity threshold Wx based on the access frequency and importance of the recordings. The recording integrity index Dx is compared with the storage integrity threshold Wx to automatically trigger a data recovery mechanism.

[0049] The data efficiency calculation module is used to calculate the participation activity index Ax based on the real-time interactive behavior data of the conference participants, and generate the system resource utilization efficiency index Zy by combining the relevant data in the transmission optimization module and the storage management module;

[0050] The intelligent control module is used to generate a comprehensive control index Gz by combining the identity credibility index Cx, bandwidth utilization optimization factor By, recording integrity index Dx and system resource utilization efficiency index Zy through a deep learning algorithm; finally, the comprehensive control index Gz is compared with the preset optimization threshold Nz. When the comprehensive control index Gz reaches the preset optimization threshold Nz, a remote conference operation optimization report is generated and the optimal participation management strategy is output.

[0051] In this embodiment, the identity management module is based on multi-factor authentication technology. By collecting facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw and login environment security value Aq, the identity credibility index Cx is generated to accurately verify the identity of the participants and effectively prevent unauthorized users from entering. The transmission optimization module dynamically generates content transmission priority Px and bandwidth utilization optimization factor By by real-time monitoring of data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It and load fluctuation coefficient Lv, so as to achieve efficient allocation of network bandwidth and give priority to the transmission of high-importance data streams to avoid bandwidth waste. The storage management module collects data block verification success rate Vs, data block availability rate Ar, access completeness rate C based on blockchain technology. r and data redundancy coverage Rc, calculate the recording integrity index Dx, and automatically trigger data recovery when the recording integrity index Dx is lower than the storage integrity threshold Wx to ensure the integrity and availability of the recorded content; the data efficiency calculation module calculates the participation activity index Ax by real-time monitoring of the speaking frequency Sfy, the number of screen sharing times Spg, the number of chat messages Slt and the number of voting responses Sxy, and generates the system resource utilization efficiency index Zy to achieve efficient management of conference resources; the intelligent control module generates a comprehensive control index Gz, and by comparing the comprehensive control index Gz with the preset optimization threshold Nz, outputs the optimal participation management strategy, and comprehensively improves the system's security, transmission efficiency, storage integrity and resource utilization.

[0052] Example 2

[0053] The identity management module includes an identity feature calculation unit and an identity authentication unit;

[0054] The identity feature calculation unit is used to collect the identity feature data of the participants based on multi-factor authentication technology, including facial recognition-related data, device fingerprint-related data, and behavior pattern-related data; then, feature extraction and fusion analysis are performed on the identity feature data to obtain the facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw, and login environment security value Aq, and generate the identity credibility index Cx using the following formula: ;

[0055] Finally, the identity credibility index Cx is passed to the identity authentication unit.

[0056] The identity authentication unit is used to receive the identity credibility index Cx generated by the identity calculation unit and preset a credibility threshold Qx; compare the identity credibility index Cx with the credibility threshold Qx to generate an identity authentication result, the specific contents of which are as follows:

[0057] If the identity credibility index Cx ≥ the credibility threshold Qx, the identity is considered credible. An identity verification result is generated, the participant is allowed to enter the meeting, and the corresponding meeting permissions are granted.

[0058] If the identity credibility index Cx is less than the trust threshold Qx, it means that the identity is in doubt; an identity authentication warning result is generated and countermeasures are taken, including restricting the participant's permissions or sending an identity anomaly reminder to the system administrator, accompanied by the identity credibility index Cx and detailed values ​​of specific parameters.

[0059] The transmission optimization module includes a flow calculation unit and a transmission evaluation unit;

[0060] The traffic calculation unit is used to collect and analyze traffic characteristics of the real-time data stream of the remote conference, extract transmission-related data of the audio stream, video stream, and screen sharing stream, including packet size, transmission rate, and delay duration; specifically, it extracts the data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It, and load fluctuation coefficient Lv, and calculates the content transmission priority Px of each data stream. The specific calculation formula is as follows: ;

[0061] Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for the load fluctuation Lv;

[0062] Then, a dynamic distribution strategy is generated based on the conference scale and real-time network bandwidth load, including sorting the content transmission priority Px of each data stream from high to low, and giving priority to the data stream with the highest content transmission priority Px.

[0063] The transmission evaluation unit is used to receive the content transmission priority Px and dynamic distribution strategy generated by the traffic calculation unit, and use the network monitoring tool to monitor the adjusted transmission path and bandwidth resource usage in real time, obtain the actual bandwidth occupancy rate Bwr, data transmission success rate Ts, data flow congestion ratio Cr and dynamically adjusted response time Rt, and finally use the following formula to generate the bandwidth utilization optimization factor By; .

[0064] The storage management module includes an integrity calculation unit and an integrity assessment unit;

[0065] The integrity calculation unit is used to segment and encrypt the conference recording content into data blocks based on blockchain technology, generate a hash value for each data block, and verify the integrity of the storage through the blockchain network. At the same time, it collects the data block verification success rate Vs in real time, then obtains the data block availability rate Ar, access completeness rate Cr, and data redundancy coverage rate Rc by reading log records, and finally calculates the recording integrity index Dx. The specific calculation formula is as follows: .

[0066] The integrity evaluation unit is used to compare the recording integrity index Dx with the storage integrity threshold Wx. The specific comparison content is as follows:

[0067] If the recording integrity index Dx ≥ the storage integrity threshold Wx, it indicates that the recording content meets the integrity requirements and there is no need to trigger data recovery;

[0068] When the recording integrity index Dx is less than the storage integrity threshold Wx, it indicates that the recorded content does not meet the integrity requirements, and the data recovery mechanism is automatically triggered, including regenerating lost data blocks or synchronizing backup content; at the same time, the evaluation results are recorded in the system storage log as a basis for optimizing storage strategies.

[0069] The data efficiency calculation module is used to monitor the real-time interactive behavior data of conference participants in real time and perform dimensionless processing, including speaking frequency Sfy, screen sharing times Spg, chat message number Slt, and voting or feedback response times Sxy, and then calculate the participation activity index Ax using the following formula: ;

[0070] Secondly, by extracting the data packet loss rate Lp and load fluctuation coefficient Lv from the transmission optimization module, as well as the data block availability rate Ar and access completeness rate Cr from the storage management module, and fitting them with the participation activity index Ax, the system resource utilization efficiency index Zy is calculated using the following formula: ;

[0071] Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to smooth the impact of the data packet loss rate Lp.

[0072] In this embodiment, the security, transmission efficiency, storage integrity and resource utilization of the meeting are effectively improved; the identity management module collects facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw and login environment security value Aq through the identity feature calculation unit, calculates the identity credibility index Cx, and the identity authentication unit compares it with the preset credibility threshold Qx to ensure the authenticity of the participant's identity and the accuracy of authority management; the traffic calculation unit of the transmission optimization module collects data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It and load fluctuation coefficient Lv, calculates content transmission priority Px, and generates a dynamic distribution strategy based on the scale of the meeting to give priority to low-latency transmission of high-importance data streams; the transmission evaluation unit collects actual bandwidth occupancy Bwr, data transmission success rate Ts, data stream congestion ratio Cr and dynamic adjustment The response time Rt is used to calculate the bandwidth utilization optimization factor By to dynamically optimize the bandwidth allocation strategy. The integrity calculation unit of the storage management module collects the data block verification success rate Vs, data block availability rate Ar, access integrity rate Cr, and data redundancy coverage rate Rc to calculate the recording integrity index Dx, which is then compared with the storage integrity threshold Wx by the integrity assessment unit to ensure the secure storage and availability of the conference recording content. The data efficiency calculation module calculates the participation activity index Ax by collecting the speech frequency Sfy, screen sharing times Spg, chat message number Slt, and voting or feedback response times Sxy. It then combines the data packet loss rate Lp and load fluctuation coefficient Lv in the transmission optimization module, as well as the data block availability rate Ar and access integrity rate Cr in the storage management module, to generate the system resource utilization efficiency index Zy to achieve optimal resource utilization.

[0073] Among them, the dynamic distribution strategy also includes dynamically adjusting the bandwidth allocation ratio so that the data flow with the highest transmission priority Px enjoys the most bandwidth resources; enabling the multi-path transmission strategy to distribute the high-priority data flow to the low-latency path; and finally enabling the multi-path transmission strategy to distribute the data flow with the highest transmission priority Px to the path with the lowest latency.

[0074] Example 3

[0075] The intelligent control module includes a control calculation unit and an optimization evaluation unit;

[0076] The control calculation unit is used to comprehensively process the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource utilization efficiency index Zy based on the deep learning algorithm, and calculate the comprehensive control index Gz in combination with the following formula: .

[0077] The optimization evaluation unit is used to preset the optimization threshold Nz and compare and evaluate the optimization threshold Nz with the comprehensive control index Gz. The specific evaluation content is as follows:

[0078] If the comprehensive control index Gz ≥ the optimization threshold Nz, it means that the current system status meets the standard. At this time, a remote conference operation optimization report is generated and the optimal participation management strategy is output, including identity management adjustment, dynamic adjustment of transmission priority, and resource allocation adjustment.

[0079] If the comprehensive control index Gz is less than the optimization threshold Nz, it means that the current system status does not meet the standard; at this time, further optimization adjustment is triggered; and feedback is given to the identity management module, transmission optimization module and storage management module for solution adjustment.

[0080] In this embodiment, the intelligent control module realizes the comprehensive optimization of the remote conference system through the collaboration of the control calculation unit and the optimization evaluation unit; the control calculation unit comprehensively processes the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource utilization efficiency index Zy based on the deep learning algorithm to generate a comprehensive control index Gz; wherein, the identity credibility index Cx reflects the reliability of the participant's identity, and is obtained by the fusion calculation of the facial matching degree Fm, the device consistency Dt, the behavior pattern similarity Xw and the login environment security value Aq, and is used to ensure the accuracy of the participant's authority management; the bandwidth utilization optimization factor By is comprehensively calculated by the actual bandwidth occupancy rate Bwr, the data transmission success rate Ts, the data flow congestion ratio Cr and the dynamic adjustment response time Rt, which measures the utilization efficiency of network resources and guides the optimization of the dynamic distribution strategy; the recording integrity index Dx is obtained by the data block verification success rate Vs, ... recording integrity index Dx The data block availability rate Ar, access integrity rate Cr and data redundancy coverage rate Rc are collected and calculated to ensure the storage integrity and security of the conference recording content; the system resource utilization efficiency index Zy is used to comprehensively measure the rationality of resource allocation and utilization effect; the optimization evaluation unit compares and evaluates the comprehensive control index Gz through the preset optimization threshold Nz. When the comprehensive control index Gz is greater than or equal to the optimization threshold Nz, a remote conference operation optimization report is generated and the optimal participation management strategy is output, including optimizing identity management, dynamically adjusting data flow transmission priority and storage resource allocation; when the comprehensive control index Gz is less than the optimization threshold Nz, further optimization is triggered and fed back to the identity management module, transmission optimization module and storage management module for adjustment; through the above process, the intelligent control module significantly improves the security, transmission efficiency, storage reliability and resource utilization of the remote conference system, ensuring the stability and efficiency of the system in various dynamic environments.

[0081] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A remote conference participation management system, characterized by: It includes identity management module, transmission optimization module, storage management module, data efficiency calculation module and intelligent control module; The identity management module is used to verify the identity of participants based on multi-factor authentication technology, including facial recognition, device fingerprint analysis and behavioral pattern comparison, generate and evaluate the identity credibility index Cx; when the identity credibility index Cx is lower than the preset credibility threshold Qx, a verification warning is triggered and the meeting rights of the corresponding participant are restricted; The transmission optimization module is used to dynamically monitor the traffic characteristics of the real-time data stream of the remote conference, calculate the content transmission priority Px, and generate a dynamic distribution strategy based on the conference scale and network bandwidth load, including adjusting the transmission path and bandwidth resources, and finally calculating the bandwidth utilization optimization factor By; The storage management module is used to securely store and retrieve conference recordings based on blockchain technology, generate a recording integrity index Dx, and preset a storage integrity threshold Wx based on the access frequency and importance of the recordings. The recording integrity index Dx is compared with the storage integrity threshold Wx to automatically trigger a data recovery mechanism. The data efficiency calculation module is used to calculate the participation activity index Ax based on the real-time interactive behavior data of the conference participants, and generate the system resource utilization efficiency index Zy by combining the relevant data in the transmission optimization module and the storage management module; The intelligent control module is used to generate a comprehensive control index Gz by combining the identity credibility index Cx, bandwidth utilization optimization factor By, recording integrity index Dx and system resource utilization efficiency index Zy through a deep learning algorithm; finally, the comprehensive control index Gz is compared with the preset optimization threshold Nz. When the comprehensive control index Gz reaches the preset optimization threshold Nz, a remote conference operation optimization report is generated and the optimal participation management strategy is output.

2. A remote conference participation management system according to claim 1, characterized in that: The identity management module includes an identity feature calculation unit and an identity authentication unit; The identity feature calculation unit is used to collect the identity feature data of the participants based on multi-factor authentication technology, including facial recognition-related data, device fingerprint-related data, and behavior pattern-related data; then, feature extraction and fusion analysis are performed on the identity feature data to obtain the facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw, and login environment security value Aq, and generate the identity credibility index Cx using the following formula: ； Finally, the identity credibility index Cx is passed to the identity authentication unit.

3. A remote conference participation management system according to claim 2, characterized in that: The identity authentication unit is used to receive the identity credibility index Cx generated by the identity calculation unit and preset a credibility threshold Qx; compare the identity credibility index Cx with the credibility threshold Qx to generate an identity authentication result, the specific contents of which are as follows: If the identity credibility index Cx ≥ the credibility threshold Qx, the identity is considered credible. An identity verification result is generated, the participant is allowed to enter the meeting, and the corresponding meeting permissions are granted. If the identity credibility index Cx is less than the trust threshold Qx, it means that the identity is in doubt; an identity authentication warning result is generated and countermeasures are taken, including restricting the participant's permissions or sending an identity anomaly reminder to the system administrator, accompanied by the identity credibility index Cx and detailed values ​​of specific parameters.

4. A remote conference participation management system according to claim 1, characterized in that: The transmission optimization module includes a flow calculation unit and a transmission evaluation unit; The traffic calculation unit is used to collect and analyze traffic characteristics of the real-time data stream of the remote conference, extract transmission-related data of the audio stream, video stream, and screen sharing stream, including packet size, transmission rate, and delay duration; specifically, it extracts the data packet loss rate Lp, key frame ratio Kf, interaction delay tolerance It, and load fluctuation coefficient Lv, and calculates the content transmission priority Px of each data stream. The specific calculation formula is as follows: ； Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for the load fluctuation Lv; Then, a dynamic distribution strategy is generated based on the conference scale and real-time network bandwidth load, including sorting the content transmission priority Px of each data stream from high to low, and giving priority to the data stream with the highest content transmission priority Px.

5. A remote conference participation management system according to claim 4, characterized in that: The transmission evaluation unit is used to receive the content transmission priority Px and dynamic distribution strategy generated by the traffic calculation unit, and use the network monitoring tool to monitor the adjusted transmission path and bandwidth resource usage in real time, obtain the actual bandwidth occupancy rate Bwr, data transmission success rate Ts, data flow congestion ratio Cr and dynamically adjusted response time Rt, and finally use the following formula to generate the bandwidth utilization optimization factor By; 。 6. A remote conference participation management system according to claim 4, characterized in that: The storage management module includes an integrity calculation unit and an integrity assessment unit; The integrity calculation unit is used to segment and encrypt the conference recording content into data blocks based on blockchain technology, generate a hash value for each data block, and verify the integrity of the storage through the blockchain network. At the same time, it collects the data block verification success rate Vs in real time, then obtains the data block availability rate Ar, access completeness rate Cr, and data redundancy coverage rate Rc by reading log records, and finally calculates the recording integrity index Dx. The specific calculation formula is as follows: 。 7. A remote conference participation management system according to claim 6, characterized in that: The integrity evaluation unit is used to compare the recording integrity index Dx with the storage integrity threshold Wx. The specific comparison content is as follows: If the recording integrity index Dx ≥ the storage integrity threshold Wx, it indicates that the recording content meets the integrity requirements and there is no need to trigger data recovery; When the recording integrity index Dx is less than the storage integrity threshold Wx, it indicates that the recorded content does not meet the integrity requirements, and the data recovery mechanism is automatically triggered, including regenerating lost data blocks or synchronizing backup content; at the same time, the evaluation results are recorded in the system storage log as a basis for optimizing storage strategies.

8. The remote conference participation management system according to claim 6, characterized in that: The data efficiency calculation module is used to monitor the real-time interactive behavior data of conference participants in real time and perform dimensionless processing, including speaking frequency Sfy, screen sharing times Spg, chat message number Slt, and voting or feedback response times Sxy, and then calculate the participation activity index Ax using the following formula: ； Secondly, by extracting the data packet loss rate Lp and load fluctuation coefficient Lv from the transmission optimization module, as well as the data block availability rate Ar and access completeness rate Cr from the storage management module, and fitting them with the participation activity index Ax, the system resource utilization efficiency index Zy is calculated using the following formula: ； Where ln represents a logarithmic function with the mathematical constant e as the base, which is used to smooth the impact of the data packet loss rate Lp.

9. The remote conference participation management system according to claim 1, characterized in that: The intelligent control module includes a control calculation unit and an optimization evaluation unit; The control calculation unit is used to comprehensively process the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource utilization efficiency index Zy based on the deep learning algorithm, and calculate the comprehensive control index Gz in combination with the following formula: 。 10. A remote conference participation management system according to claim 9, characterized in that: The optimization evaluation unit is used to preset the optimization threshold Nz and compare and evaluate the optimization threshold Nz with the comprehensive control index Gz. The specific evaluation content is as follows: If the comprehensive control index Gz ≥ the optimization threshold Nz, it means that the current system status meets the standard. At this time, a remote conference operation optimization report is generated and the optimal participation management strategy is output, including identity management adjustment, dynamic adjustment of transmission priority, and resource allocation adjustment. If the comprehensive control index Gz is less than the optimization threshold Nz, it means that the current system status does not meet the standard; at this time, further optimization adjustment is triggered; and feedback is given to the identity management module, transmission optimization module and storage management module for solution adjustment.

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