A remote meeting participation management system

Abstract

The application discloses a kind of remote meeting participation management systems, it is related to data communication technical field, the application solves the problems of bandwidth resource waste, data storage and playback are limited and identity authentication is not rigorous.For bandwidth waste, the system dynamically calculates content transmission priority Px and bandwidth utilization optimization factor By in real time through transmission optimization module, and generates dynamic distribution strategy, provides low-delay transmission for high-priority data flow, avoids bandwidth resource waste;For data storage problems, the storage management module collects data blocks based on blockchain technology and verifies them, then calculates the recording integrity index Dx and triggers the recovery mechanism to ensure storage reliability and recording content retrievability;To solve the problem of identity authentication is not rigorous, identity management module calculates identity credibility index Cx using multi-factor authentication and evaluates the authority, outputs the optimal management strategy, and comprehensively improves the security of the meeting and resource utilization efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data communication, in particular to a remote meeting participation management system. BACKGROUND

[0002] The remote meeting participation management system originated from the rapid development of information technology and communication technology in the late 20th century, especially the popularization of video conference systems. Traditional face-to-face meetings are difficult to meet the needs of modern distributed team collaboration due to time and space limitations. With the rise of the Internet and mobile communication technology, network-based remote meeting systems gradually replaced traditional meeting forms and provided efficient communication solutions for enterprises and institutions.

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

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

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

[0006] Inadequate identity verification: The identity verification methods of existing systems rely on simple passwords or links, which can easily lead to unauthorized user entry or false participation. SUMMARY

[0007] In view of the deficiencies of the prior art, the present application provides a remote meeting participation management system, which solves the technical problems of bandwidth resource waste, limited data storage and playback, and inadequate identity verification mentioned in the background art.

[0008] To achieve the above purpose, the present application realizes the following technical scheme: a remote meeting participation management system, comprising 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 the participants based on multi-factor authentication technology, including face recognition, device fingerprint analysis and behavior pattern comparison, to generate an identity credibility index Cx and evaluate it; 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 limited;

[0010] The transmission optimization module is used for dynamically monitoring traffic characteristics of real-time data streams of the remote conference, calculating a content transmission priority Px, and generating a dynamic distribution strategy based on conference size and network bandwidth load conditions, including adjusting transmission paths and bandwidth resources, and finally calculating a bandwidth utilization optimization factor By.

[0011] The storage management module is used for securely storing and retrieving conference recording content based on blockchain technology, generating a recording integrity index Dx, and combining access frequency and importance of the recording content to preset a storage integrity threshold Wx; comparing the recording integrity index Dx with the storage integrity threshold Wx to automatically trigger a data recovery mechanism.

[0012] The data efficiency calculation module is used for calculating a participant activity index Ax based on real-time interactive behavior data of conference participants, and combining related data in the transmission optimization module and the storage management module to generate a system resource use efficiency index Zy.

[0013] The intelligent regulation and control module is used for generating a comprehensive regulation and control index Gz by combining the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx, and the system resource use efficiency index Zy through a deep learning algorithm; and finally comparing the comprehensive regulation and control index Gz with a preset optimization threshold Nz, generating a remote conference operation optimization report when the comprehensive regulation and control index Gz reaches the preset optimization threshold Nz, and outputting an optimal participation management strategy.

[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 for collecting identity feature data of participants based on multi-factor authentication technology, including face recognition related data, device fingerprint related data, and behavior pattern related data; then performing feature extraction and fusion analysis on the identity feature data to obtain a face matching degree Fm, a device consistency Dt, a behavior pattern similarity Xw, and a login environment security value Aq, and generating an identity credibility index Cx using the following formula:

[0016] ;

[0017] Finally, the identity credibility index Cx is passed to the identity verification unit.

[0018] Preferably, the identity verification unit is used for receiving the identity credibility index Cx generated by the identity calculation unit, and presetting a credibility threshold Qx; comparing the identity credibility index Cx with the credibility threshold Qx to generate an identity verification result, the specific content being as follows:

[0019] If the identity credibility index Cx is greater than or equal to the credibility threshold Qx, it indicates that the identity is credible; an identity authentication pass result is generated, the participant is allowed to enter the meeting, and corresponding meeting permissions are granted;

[0020] If the identity credibility index Cx is less than the credibility threshold Qx, it indicates that the identity is suspicious; an identity authentication warning result is generated, and countermeasures are taken, including limiting the participant's permissions or sending an identity anomaly reminder to the system administrator, along with the identity credibility index Cx and detailed numerical values of specific parameters.

[0021] Preferably, the transmission optimization module includes a traffic calculation unit and a transmission evaluation unit.

[0022] The traffic calculation unit is used to collect and analyze traffic characteristics of real-time data streams of the remote meeting, extract transmission-related data of audio streams, video streams, and screen sharing streams, including packet size, transmission rate, and delay duration; specific extraction data packet loss rate Lp, key frame proportion Kf, interaction delay tolerance It, and load fluctuation coefficient Lv, calculate the content transmission priority Px of each data stream, and the specific calculation formula is as follows:

[0023] ;

[0024] In the formula, ln represents the logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for the load fluctuation Lv;

[0025] Then, a dynamic distribution strategy is generated in combination with the meeting size and real-time network bandwidth load, including descending order arrangement according to the content transmission priority Px of each data stream from high to low, and preferentially transmitting the data stream with the highest content transmission priority Px.

[0026] Preferably, the transmission evaluation unit is used to receive the content transmission priority Px and the 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, the data transmission success rate Ts, the data stream congestion ratio Cr, and the dynamic adjustment response time Rt, and finally generate a bandwidth utilization optimization factor By using the following formula:

[0027] .

[0028] Preferably, the storage management module includes an integrity calculation unit and an integrity evaluation unit.

[0029] The integrity calculation unit is used for data block segmentation and encrypted storage of the conference recording content based on blockchain technology, generating a hash value of each data block, and verifying the integrity of the stored data through a blockchain network, while collecting the data block verification success rate Vs in real time, then obtaining the data block availability rate Ar, access integrity rate Cr and data redundancy coverage rate Rc by reading the log record, and finally calculating the recording integrity index Dx, the specific calculation formula is as follows:

[0030] .

[0031] Preferably, the integrity evaluation unit is used for comparing the recording integrity index Dx with the storage integrity threshold Wx, and the specific comparison content is as follows:

[0032] If the recording integrity index Dx is greater than or equal to the storage integrity threshold Wx, it indicates that the recording content meets the integrity requirement, and the data recovery does not need to be triggered;

[0033] When the recording integrity index Dx is less than the storage integrity threshold Wx, it indicates that the recording content does not meet the integrity requirement, and the data recovery mechanism is automatically triggered, including regenerating the lost data block or synchronizing the backup content; at the same time, the evaluation result is recorded to the system storage log as the basis for optimizing the storage strategy.

[0034] Preferably, the data efficiency calculation module is used for real-time monitoring of the real-time interaction behavior data of the conference participants and non-dimensional processing, including the speaking frequency Sfy, the screen sharing times Spg, the chat message quantity Slt and the response times Sxy of voting or feedback, and then the participation activity index Ax is calculated by using the following formula:

[0035] ;

[0036] Secondly, by extracting the data packet loss rate Lp and the load fluctuation coefficient Lv in the transmission optimization module, and the data block availability rate Ar and the access integrity rate Cr in the storage management module, and fitting with the participation activity index Ax, the system resource use efficiency index Zy is calculated by using the following formula:

[0037] ;

[0038] In the formula, ln represents the logarithmic function with the mathematical constant e as the base, which is used to smooth the influence of the data packet loss rate Lp.

[0039] Preferably, the intelligent regulation and control module includes a regulation and control calculation unit and an optimization evaluation unit.

[0040] The regulation calculation unit is used for comprehensively processing the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource use efficiency index Zy based on a deep learning algorithm, and calculating and obtaining a comprehensive regulation index Gz in combination with the following formula:

[0041] .

[0042] Preferably, the optimization evaluation unit is used for presetting an optimization threshold Nz and comparing and evaluating the optimization threshold Nz with the comprehensive regulation index Gz, and the specific evaluation content is as follows:

[0043] If the comprehensive regulation index Gz is greater than or equal to the optimization threshold Nz, it indicates that the current system state is up to standard; at this time, a remote conference running optimization report is generated, and an optimal participation management strategy is output, including identity management adjustment, dynamic adjustment of transmission priority and resource allocation adjustment.

[0044] If the comprehensive regulation index Gz is less than the optimization threshold Nz, it indicates that the current system state is not up to standard; at this time, further optimization adjustment is triggered; and feedback is given to the identity management module, the transmission optimization module and the storage management module for scheme adjustment.

[0045] The application provides a remote conference participation management system, which has the following beneficial effects:

[0046] (1) The remote conference participation management system effectively solves the problem of waste of bandwidth resources; through the flow calculation unit and the transmission evaluation unit of the transmission optimization module, key parameters such as the data packet loss rate Lp, the key frame proportion Kf, the interaction delay tolerance It and the load fluctuation coefficient Lv are collected in real time, and the content transmission priority Px and the bandwidth utilization optimization factor By are dynamically calculated; in combination with the conference scale and the real-time network bandwidth load condition, a dynamic distribution strategy is generated, including adjustment of the transmission path and optimization of the bandwidth allocation, and low delay and high bandwidth transmission guarantee is provided for high-priority data flow, so that the efficiency and stability of data transmission are significantly improved; at the same time, the system further avoids occupation of too much bandwidth resource by irrelevant content through the multi-path transmission strategy and real-time network congestion monitoring.

[0047] (2) The remote conference participation management system is aimed at the problem of limited data storage and playback. The storage management module realizes the block storage and verification of conference recording content based on blockchain technology through the integrity calculation unit and the integrity evaluation unit. Real-time data block verification success rate Vs, data block availability rate Ar, access integrity rate Cr, and data redundancy coverage rate Rc are collected, and the recording integrity index Dx is calculated to accurately evaluate the storage integrity. 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 synchronously backing up the 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 storage is further improved.

[0048] (3) The remote conference participation management system is aimed at the problem of not rigorous identity verification. The identity management module collects face 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 verification unit combined 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 verification warning, and effectively prevents unauthorized users from entering by limiting the participant's rights or sending an abnormal reminder to the system manager. Further combined with a deep learning algorithm, the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx, and the system resource utilization efficiency index Zy are comprehensively processed by the intelligent regulation module to generate a comprehensive regulation index Gz. When the comprehensive regulation index Gz reaches the preset optimization threshold Nz, the system outputs the optimal participation management strategy, which improves the overall security and management efficiency of the remote conference from multiple dimensions of identity verification, transmission optimization, and storage allocation. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 Figure 1 is a schematic diagram of the framework structure of the remote conference participation management system of the present application; DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0051] Embodiment 1

[0052] Please refer to Figure 1The application provides a remote conference participation management system, comprising an identity management module, a transmission optimization module, a storage management module, a data efficiency calculation module and an intelligent regulation module.

[0053] The identity management module is used for verifying the identity of a participant based on a multi-factor authentication technology, including face recognition, device fingerprint analysis and behavior pattern comparison, generating an identity credibility index Cx and evaluation; when the identity credibility index Cx is lower than a preset credibility threshold Qx, triggering a verification warning and limiting the conference authority of the corresponding participant.

[0054] The transmission optimization module is used for dynamically monitoring the traffic characteristics of the real-time data stream of the remote conference, calculating a content transmission priority Px, and generating a dynamic distribution strategy based on the conference size and network bandwidth load, including adjusting the transmission path and bandwidth resources, and finally calculating a bandwidth utilization optimization factor By.

[0055] The storage management module is used for securely storing and retrieving conference recording content based on blockchain technology, generating a recording integrity index Dx, and combining the access frequency and importance of the recording content to preset a storage integrity threshold Wx; comparing the recording integrity index Dx with the storage integrity threshold Wx to automatically trigger a data recovery mechanism.

[0056] The data efficiency calculation module is used for calculating a participation activity index Ax based on the real-time interactive behavior data of the conference participants, and combining the related data in the transmission optimization module and the storage management module to generate a system resource use efficiency index Zy.

[0057] The intelligent regulation module is used for generating a comprehensive regulation index Gz by combining the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource use efficiency index Zy through a deep learning algorithm; finally, comparing the comprehensive regulation index Gz with a preset optimization threshold Nz, when the comprehensive regulation index Gz reaches the preset optimization threshold Nz, generating a remote conference operation optimization report and outputting an optimal participation management strategy.

[0058] In this embodiment, the identity management module generates an identity credibility index Cx 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 to accurately verify the identity of the participant 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 proportion Kf, interaction delay tolerance It and load fluctuation coefficient Lv to realize efficient allocation of network bandwidth and preferential transmission of high importance data stream and avoid bandwidth waste; the storage management module collects data block verification success rate Vs, data block availability Ar, access integrity rate Cr and data redundancy coverage rate Rc based on blockchain technology to calculate recording integrity index Dx and automatically trigger data recovery when recording integrity index Dx is lower than storage integrity threshold Wx to ensure recording content integrity and availability; the data efficiency calculation module calculates participation activity index Ax by real-time monitoring of speaking frequency Sfy, screen sharing times Spg, chat message quantity Slt and voting response times Sxy and generates system resource use efficiency index Zy to realize efficient management of conference resources; the intelligent regulation and control module generates comprehensive regulation and control index Gz and outputs the optimal participation management strategy by comparing comprehensive regulation and control index Gz with preset optimization threshold Nz to comprehensively improve the safety, transmission efficiency, storage integrity and resource utilization rate of the system.

[0059] Embodiment 2

[0060] The identity management module comprises an identity feature calculation unit and an identity verification unit.

[0061] The identity feature calculation unit is configured to collect identity feature data of the participant based on multi-factor authentication technology, including facial recognition related data, device fingerprint related data and behavior pattern related data; then the identity feature data is subjected to feature extraction and fusion analysis to obtain facial matching degree Fm, device consistency Dt, behavior pattern similarity Xw and login environment security value Aq, and the identity credibility index Cx is generated by combining the following formula:

[0062] ;

[0063] Finally, the identity credibility index Cx is transmitted to the identity verification unit.

[0064] The identity verification unit is configured 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 verification result, and the specific content is as follows:

[0065] If the identity credibility index Cx is greater than or equal to the credibility threshold Qx, it means that the identity is credible; an identity verification pass result is generated, allowing the participant to enter the meeting and granting corresponding meeting permissions;

[0066] If the identity credibility index Cx is less than the credibility threshold Qx, it means that the identity is suspicious; an identity verification warning result is generated, and countermeasures are taken, including limiting the participant's permissions or sending an identity anomaly alert to the system administrator, along with the identity credibility index Cx and detailed numerical values of specific parameters.

[0067] The transmission optimization module includes a traffic calculation unit and a transmission evaluation unit;

[0068] The traffic calculation unit is used to collect and analyze traffic characteristics of real-time data streams of the remote meeting, extract transmission-related data of audio streams, video streams, and screen sharing streams, including packet size, transmission rate, and delay duration; specific extraction data packet loss rate Lp, key frame proportion Kf, interaction delay tolerance It, and load fluctuation coefficient Lv, calculate the content transmission priority Px of each data stream, the specific calculation formula is as follows:

[0069] ;

[0070] In the formula, ln represents the logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for the load fluctuation Lv;

[0071] Then, a dynamic distribution strategy is generated in combination with the meeting size and real-time network bandwidth load, including arranging the content transmission priority Px of each data stream in descending order from high to low, and preferentially transmitting the data stream with the highest content transmission priority Px.

[0072] 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 network monitoring tools 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 stream congestion ratio Cr, and dynamic adjustment response time Rt, and finally generate a bandwidth utilization optimization factor By using the following formula:

[0073] .

[0074] The storage management module includes an integrity calculation unit and an integrity evaluation unit;

[0075] The integrity calculation unit is used for data block segmentation and encrypted storage of the conference recording content based on blockchain technology, generating a hash value of each data block, and verifying the integrity of the stored data through a blockchain network, while collecting the data block verification success rate Vs in real time, then obtaining the data block availability rate Ar, access integrity rate Cr and data redundancy coverage rate Rc by reading the log record, and finally calculating the recording integrity index Dx, the specific calculation formula is as follows:

[0076] .

[0077] The integrity evaluation unit is used to compare the recording integrity index Dx with the storage integrity threshold Wx, and the specific comparison content is as follows:

[0078] If the recording integrity index Dx is greater than or equal to the storage integrity threshold Wx, it indicates that the recording content meets the integrity requirement, and there is no need to trigger data recovery;

[0079] When the recording integrity index Dx is less than the storage integrity threshold Wx, it indicates that the recording content does not meet the integrity requirement, and the data recovery mechanism is automatically triggered, including regenerating the lost data block or synchronizing the backup content; at the same time, the evaluation result is recorded to the system storage log as the basis for optimizing the storage strategy.

[0080] The data efficiency calculation module is used to monitor the real-time interaction behavior data of the conference participants in real time and perform non-dimensional processing, including the speaking frequency Sfy, the screen sharing times Spg, the chat message quantity Slt and the response times Sxy of voting or feedback, and then the participation activity index Ax is calculated by using the following formula:

[0081] ;

[0082] Secondly, by extracting the data packet loss rate Lp and the load fluctuation coefficient Lv in the transmission optimization module, and the data block availability rate Ar and the access integrity rate Cr in the storage management module, and fitting with the participation activity index Ax, the system resource use efficiency index Zy is calculated by using the following formula:

[0083] ;

[0084] In the formula, ln represents the logarithmic function with the mathematical constant e as the base, which is used to smooth the influence of the data packet loss rate Lp.

[0085] In this embodiment, the security, transmission efficiency, storage integrity and resource utilization of the conference are effectively improved; the identity management module collects the face matching degree Fm, the device consistency Dt, the behavior pattern similarity Xw and the login environment security value Aq through the identity feature calculation unit, calculates the identity credibility index Cx, and compares it with the preset credibility threshold Qx by the identity verification unit, to ensure the authenticity of the participant's identity and the accuracy of the permission management; the traffic calculation unit of the transmission optimization module collects the data packet loss rate Lp, the key frame proportion Kf, the interaction delay tolerance It and the load fluctuation coefficient Lv, calculates the content transmission priority Px, and generates a dynamic distribution strategy combined with the conference size to preferentially ensure the low-delay transmission of high-importance data flow; the transmission evaluation unit collects the actual bandwidth occupation rate Bwr, the data transmission success rate Ts, the data flow congestion ratio Cr and the dynamic adjustment response time length Rt, calculates 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, the data block availability Ar, the access integrity Cr and the data redundancy coverage Rc, calculates the recording integrity index Dx, and compares it with the storage integrity threshold Wx by the integrity evaluation unit to ensure the secure storage and availability of the conference recording content; the data efficiency calculation module collects the speaking frequency Sfy, the screen sharing times Spg, the chat message quantity Slt and the voting or feedback response times Sxy, calculates the participation activity index Ax, and generates the system resource use efficiency index Zy combined with the data packet loss rate Lp and the load fluctuation coefficient Lv in the transmission optimization module, and the data block availability Ar and the access integrity Cr in the storage management module, to realize the optimal utilization of resources.

[0086] The dynamic distribution strategy further includes dynamically adjusting the bandwidth allocation proportion, and the data flow with the highest transmission priority Px enjoys the most bandwidth resources; a multi-path transmission strategy is enabled to distribute the high-priority data flow to a low-delay path, and finally a multi-path transmission strategy is enabled to distribute the data flow with the highest transmission priority Px to the path with the lowest delay.

[0087] Embodiment 3

[0088] The intelligent regulation and control module includes a regulation and control calculation unit and an optimization evaluation unit.

[0089] The regulation and control calculation unit is configured to comprehensively process the identity credibility index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource use efficiency index Zy based on a deep learning algorithm, and calculate a comprehensive regulation and control index Gz according to the following formula:

[0090] .

[0091] The optimization evaluation unit is used for presetting an optimization threshold Nz and comparing and evaluating the optimization threshold Nz with the comprehensive control index Gz, and the specific evaluation content is as follows:

[0092] If the comprehensive control index Gz is greater than or equal to the optimization threshold Nz, it indicates that the current system state meets the standard; at this time, a remote conference running optimization report is generated, and an optimal participation management strategy is output, including identity management adjustment, dynamic adjustment of transmission priority and resource allocation adjustment.

[0093] If the comprehensive control index Gz is less than the optimization threshold Nz, it indicates that the current system state does not meet the standard; at this time, further optimization adjustment is triggered; and feedback is given to the identity management module, the transmission optimization module and the storage management module for scheme adjustment.

[0094] In the embodiment, the intelligent control module realizes the overall optimization of the remote conference system through the cooperation of the control calculation unit and the optimization evaluation unit; the control calculation unit generates the comprehensive control index Gz based on the deep learning algorithm by comprehensively processing the identity reliability index Cx, the bandwidth utilization optimization factor By, the recording integrity index Dx and the system resource use efficiency index Zy; the identity reliability index Cx reflects the reliability of the participant's identity, is calculated by fusing the face 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 permission management; the bandwidth utilization optimization factor By is calculated by comprehensively processing the actual bandwidth occupation rate Bwr, the data transmission success rate Ts, the data flow congestion rate Cr and the dynamic adjustment response time Rt, measures the utilization efficiency of network resources and guides the optimization of dynamic distribution strategy; the recording integrity index Dx is calculated by collecting and calculating the data block verification success rate Vs, the data block availability Ar, the access integrity rate Cr and the data redundancy coverage rate Rc, to ensure the storage integrity and security of the conference recording content; the system resource use 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 by presetting the optimization threshold Nz; when the comprehensive control index Gz is greater than or equal to the optimization threshold Nz, a remote conference running optimization report is generated and an optimal participation management strategy is output, including optimized identity management, dynamic adjustment of 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 feedback is given to the identity management module, the transmission optimization module and the storage management module for adjustment; through the above process, the intelligent control module significantly improves the safety, transmission efficiency, storage reliability and resource utilization rate of the remote conference system, and ensures the stability and efficiency of the system in various dynamic environments.

[0095] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A remote meeting participation management system, characterized in that: It includes an identity management module, a transmission optimization module, a storage management module, a data efficiency calculation module, and an 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, to generate and evaluate an identity credibility index Cx; when the identity credibility index Cx is lower than a preset credibility threshold Qx, a verification warning is triggered and the meeting permissions 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 calculate the bandwidth utilization optimization factor By. The storage management module is used to securely store and retrieve meeting 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 recording content; 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 meeting participants, and combine it with relevant data from the transmission optimization module and the storage management module to generate the system resource utilization efficiency index Zy. 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 meeting operation optimization report is generated and the optimal participation management strategy is output. The identity management module includes an identity feature calculation unit and an identity verification unit; The identity feature calculation unit is used to collect the identity feature data of participants based on multi-factor authentication technology, including facial recognition-related data, device fingerprint-related data, and behavioral pattern-related data. Then, feature extraction and fusion analysis are performed on the identity feature data to obtain facial matching degree Fm, device consistency Dt, behavioral pattern similarity Xw, and login environment security value Aq. The identity credibility index Cx is then generated using the following formula: ； Finally, the identity credibility index Cx is passed to the identity verification unit; The transmission optimization module includes a traffic calculation unit and a transmission evaluation unit; The traffic calculation unit is used to collect and analyze the traffic characteristics of the real-time data stream of the remote conference, extracting transmission-related data of the audio stream, video stream, and screen sharing stream, including data packet size, transmission rate, and latency; specifically, it extracts the data packet loss rate Lp, keyframe ratio Kf, interaction latency tolerance It, and load fluctuation coefficient Lv, and calculates the content transmission priority Px of each data stream, with the specific calculation formula as follows: ； In the formula, ln represents a logarithmic function with the mathematical constant e as the base, which is used to introduce nonlinear processing for load fluctuation Lv; Next, a dynamic distribution strategy is generated based on the meeting size and real-time network bandwidth load, including sorting each data stream in descending order of content transmission priority Px, and prioritizing the transmission of the data stream with the highest content transmission priority Px. The transmission evaluation unit is used to receive the content transmission priority Px and dynamic distribution strategy generated by the traffic calculation unit, and to use network monitoring tools to monitor the adjusted transmission path and bandwidth resource usage in real time, obtain the actual bandwidth utilization rate Bwr, data transmission success rate Ts, data flow congestion ratio Cr, and dynamic adjustment response time Rt, and finally use the following formula to generate the bandwidth utilization optimization factor By. ； 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 meeting 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. Simultaneously, it collects the data block verification success rate Vs in real time, then obtains the data block availability rate Ar, access integrity rate Cr, and data redundancy coverage rate Rc by reading log records. Finally, it calculates the recording integrity index Dx, with the specific calculation formula as follows: 。 2. The remote conference participation management system according to claim 1, characterized in that: The identity verification unit receives the identity credibility index Cx generated by the identity calculation unit and presets a credibility threshold Qx; it compares the identity credibility index Cx with the credibility threshold Qx to generate an identity verification result, the details of which are as follows: If the identity credibility index Cx ≥ the credibility threshold Qx, it indicates that the identity is credible; generate an identity verification result, allow the participant to enter the meeting, and grant the corresponding meeting permissions; If the identity credibility index Cx is less than the credibility threshold Qx, it indicates that the identity is questionable; an identity verification warning result is generated, and countermeasures are taken, including restricting the participant's permissions or sending an identity anomaly reminder to the system administrator, along with the identity credibility index Cx and detailed values ​​of specific parameters.

3. The remote conference participation management system according to claim 1, characterized in that: The integrity assessment unit is used to compare the recording integrity index Dx with the storage integrity threshold Wx. The specific comparison is as follows: If the recording integrity index Dx is greater than or equal to the storage integrity threshold Wx, it indicates that the recorded 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 to the system storage log as a basis for optimizing storage strategies.

4. The remote conference participation management system according to claim 1, characterized in that: The data efficiency calculation module is used to monitor the real-time interactive behavior data of meeting participants and perform dimensionless processing, including speaking frequency Sfy, screen sharing times Spg, chat message count Slt, and vote or feedback response count Sxy. Then, the participation activity index Ax is calculated using the following formula: ； Secondly, by extracting the data packet loss rate Lp and load fluctuation coefficient Lv from the transmission optimization module, and the data block availability rate Ar and access integrity 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: ； In the formula, ln represents a logarithmic function with the mathematical constant e as the base, used to smooth the impact of the data loss rate Lp.

5. A 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, bandwidth utilization optimization factor By, recording integrity index Dx, and system resource utilization efficiency index Zy based on deep learning algorithms, and calculates the comprehensive control index Gz using the following formula: 。 6. A remote conference participation management system according to claim 5, characterized in that: The optimization evaluation unit is used to preset the optimization threshold Nz and compare the optimization threshold Nz with the comprehensive control index Gz for evaluation. 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 meeting 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 < the optimization threshold Nz, it indicates that the current system status has not met the standard; at this time, further optimization and adjustment are triggered; and feedback is sent to the identity management module, transmission optimization module and storage management module to adjust the scheme.

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