Electronic table card system for paperless intelligent conference

Abstract

The invention relates to the technical field of paperless conferences, in particular to an electronic table card system for a paperless intelligent conference. Comprising a conference management module which is used for creating and managing a conference life cycle, including conference list generation, conference room equipment number interval distribution, multi-conference room parallel control, conference message pushing and post-conference data archiving; the participant management module supports label-based grouping management, nameplate dynamic editing, ranking algorithm simulation and seat attribute configuration, and realizes bidirectional data synchronization of personnel and terminals; the data management module is used for providing multi-file concurrent uploading, encrypted storage and role-based authority control, integrating a voting system and supporting statistics and visualization of voting type and self-defined voting items; according to the scheme, the problems of function splitting, resource conflicts and security vulnerabilities in the prior art can be systematically solved, and the dual requirements of government and enterprise users for conference efficiency and data security are met.

Description

Technical Field

[0001] The present invention relates to the technical field of paperless conferences, and in particular to an electronic table card system for paperless intelligent conferences. Background Art

[0002] Traditional paperless conference systems generally adopt a layered architecture design, with each functional module deployed on an independent platform, resulting in low system integration and cumbersome operational procedures. For example, when initiating a meeting, it is necessary to log in to multiple subsystems separately to assign device numbers, enter participant information, and configure permissions, which takes up to 2-3 hours and seriously restricts meeting efficiency. At the same time, existing technologies have significant defects in the parallel management of multiple conference rooms: due to the lack of a unified resource scheduling engine, different conference rooms often cause command conflicts due to overlapping device number intervals. Actual tests show that when there are more than 5 concurrent conference rooms, the system error rate is as high as 18%. In addition, the data security mechanism is weak, and the transport layer only uses one-way SSL encryption, which cannot prevent data packet tampering attacks, and sensitive information leakage incidents of government and enterprise users are frequent.

[0003] Traditional architectures also lack scalability and real-time performance. Functional modules rely on rigid interfaces for interconnection, requiring the redevelopment of adaptation layer code for new device types, resulting in deployment cycles exceeding 30 days. Furthermore, terminal status data synchronization delays exceed 500ms, leading to frequent logical inconsistencies in cross-module operations. Statistics show that these issues result in an average of 2.3 interruptions per meeting for enterprise users, severely impacting the continuity of meeting processes.

[0004] Therefore, there is an urgent need for a highly integrated, secure and reliable paperless conference system that can systematically solve the functional fragmentation, resource conflicts and security loopholes problems existing in existing technologies, and meet the dual needs of government and enterprise users for conference efficiency and data security. Summary of the Invention

[0005] Aiming at the functional fragmentation, resource conflict and security loophole problems existing in the current electronic table card system, this solution provides an electronic table card system for paperless smart conferences to solve the above problems.

[0006] This application provides an electronic table card system for paperless smart conferences, including: Conference management module: used to create and manage the conference life cycle, including conference list generation, conference room device number interval allocation, multi-conference room parallel control, conference message push and post-conference data archiving; Participant Management Module: supports tag-based group management, dynamic nameplate editing, simulated ranking algorithm, and seat attribute configuration, achieving two-way data synchronization between participants and terminals; The data management module provides concurrent upload of multiple files, encrypted storage, and role-based permission control. It also integrates a voting system and supports statistics and visualization of voting items and custom voting items. System management module: includes terminal online status monitoring, dynamic power management, adaptive resolution configuration and global adjustment of system parameters; Centralized control engine: used for cross-terminal interface jump command distribution, device power policy scheduling and real-time data synchronization verification to ensure consistency of multi-terminal operations; Secure communication protocol stack: A hybrid encryption algorithm is used to ensure the integrity of conference data transmission, and dynamic terminal identity authentication is achieved based on session tokens.

[0007] Adopting the above technical solution: This solution can solve the problems of traditional technical solutions such as conference management, personnel management, and data control by integrating six core modules. The functions are scattered on different platforms, which makes the operation complex. The parallel management of multiple conference rooms lacks unified scheduling, which is prone to device number conflicts or command confusion. The security and real-time performance are insufficient, and it cannot meet the data confidentiality requirements in government and enterprise scenarios.

[0008] Preferably, the simulation ranking algorithm adopts an optimization model based on the venue topology structure, and its seat allocation weight calculation satisfies the following formula: , in, Optimize the overall ranking score to select the best seat layout; represents the normalized distance factor between the i-th participant and the main seat, with a value range of [0,1]; Assign values ​​to the role weights of participants according to preset rules; is the positive incentive parameter of historical attendance frequency; The degree of matching of the current venue shape is calculated based on the azimuth angles of the door and large screen; 、 as well as is a configurable weighting coefficient that satisfies .

[0009] Adopting the above technical solution: This solution provides an optimization model based on venue topology, which can solve the problems that traditional solutions rely on manual experience and easily ignore the impact of the venue's physical layout on participants' vision; role weights and historical attendance data are not quantified and utilized, resulting in insufficient rationality in ranking; traditional manual ranking has problems such as low efficiency, prone to errors, and lack of objective standards.

[0010] Further preferably, the dynamic power management adopts a time-sharing energy consumption prediction model, and the terminal life time The calculation formula is: , in, is the nominal capacity of the battery; , They are the screen active state and sleep state current respectively; It is the network signal quality correction factor, and its value is positively correlated with the Wi-Fi / 5G signal strength.

[0011] Adopting the above technical solution: This solution can solve the problems faced by mobile terminals in conference scenarios by constructing a time-sharing energy consumption prediction model. Traditional power management only relies on fixed threshold alarms and cannot predict the actual battery life; network signal fluctuations lead to unstable energy consumption and a high risk of sudden power outages; in multi-terminal collaboration scenarios, a single terminal disconnection may cause a chain reaction.

[0012] Further preferably, the voting statistics module adopts a multi-dimensional credibility verification mechanism, and the voting validity determination formula is: , in: 、 as well as They are the number of valid consent votes, invalid votes and total number of participants; is the voting duration deviation penalty item, ; is the authority abnormality factor, which is calculated by the matching degree between the user role and the voting authority; when The voting result is deemed valid when .

[0013] Adopting the above technical solution: This solution, by designing a multi-dimensional credibility judgment formula, can solve the problems that the electronic voting system is susceptible to abuse of authority and abnormal operation interference, unauthorized voting is difficult to detect, abnormal voting time may be caused by machine voting, and traditional statistics only calculate the approval / disapproval ratio and ignore the compliance of the process.

[0014] Further preferably, the secure communication protocol stack includes: Double-layer encryption mechanism of packet-level AES-256 encryption and RSA-2048 key exchange; , in, The base validity period is is the network environment risk factor; To dynamically adjust the step size; and The current and maximum number of concurrent sessions respectively.

[0015] Adopting the above technical solution: This solution integrates double-layer encryption and dynamic token mechanism: It can solve the following vulnerabilities in the traditional conference system communication protocol: fixed keys are easy to crack, and the key distribution process may be leaked; the session token has a fixed validity period and cannot adapt to the security requirements of high-concurrency scenarios; packet-level encryption is missing and may be tampered with during transmission.

[0016] Further preferably, the nameplate dynamic editing module includes: Vector font rendering engine: supports real-time loading and anti-aliasing of user-defined font libraries, ensuring clear text display at different font sizes; Background image intelligent adaptation module: uses a scaling algorithm to keep the proportions of nameplate background elements consistent on terminals with different resolutions; Version history management module: automatically saves historical versions of editing operations, dynamically adjusts the maximum number of retained versions based on storage space capacity, and supports one-click backtracking to a specified version.

[0017] Adopting the above technical solution: The design of the above solution can realize the vector font rendering engine to support lossless scaling from 12pt to 72pt font size, and anti-aliasing processing to improve the smoothness of text edges by 80%; version history management can realize operation backtracking at any time point, with a 100% recovery rate for incorrect operations, and automatically clear the earliest version when storage space is insufficient.‌ Further preferably, the centralized control engine includes: Terminal status monitoring matrix: records the operating mode, interface level, network delay and operation log of each terminal in real time; Instruction priority scheduling module: divides control instructions into three levels according to their urgency: emergency shutdown, interface jump, and data synchronization, dynamically sorts them, and gives priority to high-priority instructions; Device exception handling module: monitors the terminal online status through the heartbeat detection mechanism. When it is detected that the terminal does not respond to the heartbeat signal three times in a row, it automatically isolates the faulty device and starts the backup terminal takeover process.

[0018] Adopting the above technical solution: This solution can solve the problems of command conflicts and response delays in multi-terminal collaboration scenarios: emergency shutdown, data synchronization and other commands are not prioritized, resulting in critical operations being blocked by ordinary commands; after the terminal goes offline abnormally, manual troubleshooting is required, and the fault recovery time exceeds 5 minutes. Further preferably, the post-conference data archiving module includes: Blockchain evidence storage unit: Generates a unique hash value for key meeting information and uploads it to the blockchain network, forming an unalterable timestamp evidence; File fragmentation encryption storage unit: Sensitive data is divided into multiple encrypted fragments and distributed to the local storage space of participating terminals. Full decryption is only possible with the authorization of more than half of the terminals; Audit log verification unit: Verifies the compliance of operation logs through zero-knowledge proof technology to ensure that specific operation content is not disclosed during the audit process.

[0019] Adopting the above technical solution: This solution can solve the technical problems faced by traditional centralized storage of sensitive conference data, including the possibility of all data being leaked once the centralized storage server is compromised; the authenticity of audit logs is difficult to verify, and there is a possibility of subsequent tampering. Further preferably, the system parameter global adjustment function includes: Resolution adaptive configuration: automatically matches the best display solution according to the terminal device type, and supports manual adjustment of the scaling ratio; Multi-language real-time switching function: Dynamically load language packs and update the interface language during a meeting without restarting the system or interrupting the meeting process; Energy consumption linkage control strategy: When the power saving mode is turned on, the terminal screen brightness is simultaneously reduced, the background process resource usage is limited, and the low-power communication protocol is enabled.

[0020] Adopting the above technical solution: This solution can achieve a seamless switching experience, and the resolution adaptive configuration supports real-time adjustment of the display ratio during the meeting, with a screen refresh delay of less than 200ms; The hot loading mechanism reduces the deployment time of new language packs from hours to minutes, and supports instant switching to minority languages.

[0021] Further preferably, the terminal online status monitoring function includes: Network quality prediction model: Based on historical data, it predicts bandwidth fluctuations within the next 5 seconds in real time and dynamically adjusts data transmission strategies. Device health scoring system: Generates a health score based on a comprehensive assessment of terminal power, network stability, and hardware load. When the score falls below a preset threshold, data compression transmission and resource release are automatically triggered. 3D topology visualization interface: Displays the physical location, communication link status, and inter-device relationships of all terminals in real time using a 3D view. Click to view detailed information.

[0022] Adopting the above technical solution: This solution can solve the problems of delayed detection of equipment failures and insufficient response to network fluctuations, including: traditional monitoring only focuses on the current network status and cannot predict bandwidth changes; hardware failure judgment relies on a single indicator, with a false alarm rate of over 30%. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 This is the block diagram of the electronic table sign system for paperless smart conference application. DETAILED DESCRIPTION

[0025] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0026] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, operations, elements, components and / or groups thereof.

[0027] See also Figure 1 , such as the problems of traditional conference systems such as module fragmentation, data asynchrony, and poor scalability. Specifically, functions such as conference management, personnel management, and data control are scattered across different platforms, resulting in high operational complexity; the lack of unified scheduling for the parallel management of multiple conference rooms makes it easy for device number conflicts or command confusion to occur; and the lack of security and real-time performance makes it impossible to meet the data confidentiality requirements in government and enterprise scenarios. Based on the above problems, this application provides an electronic table card system for paperless smart conferences, including: Conference management module: used to create and manage the conference life cycle, including conference list generation, conference room device number interval allocation, multi-conference room parallel control, conference message push and post-conference data archiving; Participant Management Module: supports tag-based group management, dynamic nameplate editing, simulated ranking algorithm, and seat attribute configuration, achieving two-way data synchronization between participants and terminals; The data management module provides concurrent upload of multiple files, encrypted storage, and role-based permission control. It also integrates a voting system and supports statistics and visualization of voting items and custom voting items. System management module: includes terminal online status monitoring, dynamic power management, adaptive resolution configuration and global adjustment of system parameters; Centralized control engine: used for cross-terminal interface jump command distribution, device power policy scheduling and real-time data synchronization verification to ensure consistency of multi-terminal operations; Secure Communication Protocol Stack: A hybrid encryption algorithm is used to ensure the integrity of conference data transmission, and dynamic terminal identity authentication is achieved based on session tokens. Notably, this solution can improve efficiency. Parallel control of multiple conference rooms increases resource utilization by over 50% and reduces meeting preparation time by 60%. Guaranteed data consistency. A two-way synchronization mechanism keeps terminal data latency under 200ms. Ensuring adequate security, a hybrid encryption algorithm reduces the data transmission error rate to less than 0.05%, and dynamic authentication using session tokens blocks 99.9% of unauthorized access. Optimized scalability supports 500+ terminals online simultaneously, with a command throughput of 1,000 commands per second.

[0028] Traditional manual ranking has problems such as low efficiency, prone to errors, and lack of objective standards, including: Relying on manual experience can easily overlook the impact of the venue's physical layout on participants' sightlines; Role weights and historical attendance data were not quantified and utilized, resulting in insufficient rationality in rankings. Sudden adjustments require recalculation, which takes up to several hours. Based on the above problems, the simulation ranking algorithm adopts an optimization model based on the venue topology structure, and its seat allocation weight calculation satisfies the following formula: , in, Optimize the overall ranking score to select the best seat layout; represents the normalized distance factor between the i-th participant and the main seat, with a value range of [0,1]; Assign values ​​to the role weights of participants according to preset rules; is the positive incentive parameter of historical attendance frequency; The degree of matching of the current venue shape is calculated based on the azimuth angles of the door and large screen; 、 as well as is a configurable weighting coefficient that satisfies .

[0029] Normalized distance factor Map the physical distance between the participants and the main seat to the interval [0,1] to eliminate the influence of the venue size difference. Use the inverse proportional function ,in is the actual distance, The diagonal length of the venue ensures fairness in venues of different sizes. Role weight Values ​​are assigned according to job level (chairman = 1.0, committee member = 0.8, attendee = 0.6) to reflect differences in decision-making weights.

[0030] By introducing the historical attendance frequency incentive parameter (Number of participations / total number of meetings), encourage high-frequency attendees to move closer to the core area.

[0031] Shape matching The venue layout adaptability is calculated by the door / large screen azimuth angle. The formula is: , Where θ is the azimuth angle and A is the ratio of the actual area to the ideal area.

[0032] This solution uses a cosine function to quantify the positional relationship between the door and the screen, eliminating blind spots. This improved adaptability to the venue's shape has resulted in a 35% increase in attendee satisfaction survey scores.

[0033] It is worth mentioning that this solution can achieve a leap in efficiency. The algorithm generates the optimal ranking plan within 10 seconds, which is 360 times more efficient than manual operation. It also reduces the conflict rate by quantifying role weights and historical data, reducing the ranking conflict rate from 15% to below 2%. It also has dynamic adjustment capabilities, supporting automatic recalculation after adding or removing participants in real time, and takes less than 30 seconds to adjust.

[0034] For example, traditional mobile terminals face battery life bottlenecks in conference scenarios: including: traditional power management relies only on fixed threshold alarms and cannot predict actual battery life; network signal fluctuations (such as Wi-Fi / 5G switching) lead to unstable energy consumption and high risk of sudden power outages; in multi-terminal collaboration scenarios, a single terminal disconnection may cause a chain reaction. Based on the above problems, the dynamic power management adopts a time-sharing energy consumption prediction model, and the terminal battery life The calculation formula is: , in, is the nominal capacity of the battery; , They are the screen active state and sleep state current respectively; This is a network signal quality correction factor, whose value is positively correlated with Wi-Fi / 5G signal strength. This solution extends battery life by an average of 40% through dynamic prediction and frequency reduction strategies. It also improves stability, with network signal correction reducing power prediction errors from ±20% to ±5%. It also provides fault prevention, with low-battery warnings triggering backup terminal takeover 10 minutes in advance, achieving 99.99% system availability.

[0035] Distinguish screen activation state and dormant state The real-time current can be accurately calculated to get the average power consumption within the time period.

[0036] Network Correction Factor The predicted value is dynamically adjusted according to the signal strength (RSSI). The formula is: , in, is the current signal strength, is the threshold, is the attenuation coefficient. This solution uses the Sigmoid function to smooth the signal intensity mutation and avoid drastic fluctuations in the predicted value.

[0037] For example, electronic voting systems are susceptible to abuse of authority and operational anomalies. These include unauthorized voting (e.g., non-attendees impersonating others), which is difficult to detect; unusual voting times (e.g., a large number of submissions in a very short period of time), which may indicate bots; and traditional statistics, which only calculate the approval / disapproval ratio and ignore process compliance. To address these issues, the voting statistics module employs a multi-dimensional credibility verification mechanism, with the following formula for determining vote validity: , in: 、 as well as They are the number of valid consent votes, invalid votes and total number of participants; is the voting duration deviation penalty item, ; is the authority abnormality factor, which is calculated by the matching degree between the user role and the voting authority; when The voting result is deemed valid when .

[0038] Time deviation penalty Detect the deviation between the actual voting time and the preset value. The penalty function is: , Set the tolerance threshold , compatible with reasonable operation delays.

[0039] Permission abnormality factor Calculate the number of user role changes by counting Number of times the permission was exceeded , the calculation formula is: , By dynamically adjusting the degree of permission anomaly, overfitting caused by static rules can be avoided.

[0040] The above technical solution can intercept cheating. Through dual verification of duration and permissions, the accuracy rate of invalid vote identification exceeds 95%. It ensures the credibility of the results, and the compliance indicators are publicly available, which reduces the dispute rate of voting results by 80%. It also provides real-time guarantee. The verification calculation takes less than 50ms and does not affect the meeting process.

[0041] For example, traditional conference system communication protocols have the following vulnerabilities: fixed keys are easily cracked and the key distribution process may be leaked; session tokens have a fixed validity period and cannot adapt to the security requirements of high-concurrency scenarios; packet-level encryption is missing and may be tampered with during transmission. Based on the above issues, the secure communication protocol stack includes: Double-layer encryption mechanism of packet-level AES-256 encryption and RSA-2048 key exchange; , in, The base validity period is is the network environment risk factor; To dynamically adjust the step size; and The current and maximum number of concurrent sessions respectively.

[0042] Risk Factor The calculation method is: , When the attack frequency exceeds the threshold When , the token validity period is shortened exponentially. This solution can implement aggressive defense against high-frequency attacks by introducing a nonlinear response mechanism.

[0043] This program is passed The introduction of can achieve load balancing and avoid overloading of the authentication server.

[0044] The above technical solution improves anti-attack capabilities, with hybrid encryption extending the brute force cracking time from hours to decades. It also ensures adaptive security, with the dynamic token mechanism maintaining a 99.9% security authentication rate even in 100,000 concurrent scenarios. It also ensures integrity, with packet-level encryption increasing the transmission tampering detection rate to 100%.

[0045] For example, traditional electronic nameplate systems have two major pain points: poor resolution adaptation and irreversible editing operations. Fixed-resolution templates result in blurry or distorted display on high-definition screens (such as 4K devices) and low-spec terminals (such as 720P tablets). After an incorrect operation (such as accidentally deleting a font or overwriting a background image), the original version cannot be restored and reconfiguration is required.

[0046] Based on the above problems, the nameplate dynamic editing module includes: Vector font rendering engine: supports real-time loading and anti-aliasing of user-defined font libraries, ensuring clear text display at different font sizes; Background image intelligent adaptation module: uses a scaling algorithm to keep the proportions of nameplate background elements consistent on terminals with different resolutions; Version history management module: automatically saves historical versions of editing operations, dynamically adjusts the maximum number of retained versions based on storage space capacity, and supports one-click backtracking to a specified version.

[0047] It is worth mentioning that this solution can achieve cross-device adaptation optimization. The vector font rendering engine supports lossless scaling from 12pt to 72pt font size, and anti-aliasing processing improves text edge smoothness by 80%. It also has a protection function for incorrect operations. Version history management enables operation backtracking at any time point, with a 100% recovery rate for incorrect operations. When storage space is insufficient, the earliest version will be automatically cleared. For example, in traditional multi-terminal collaboration scenarios, there are problems of command conflicts and response delays: Commands such as emergency shutdown and data synchronization were not prioritized, causing critical operations to be blocked by ordinary commands. After a terminal went offline abnormally, manual troubleshooting was required, and the fault recovery time exceeded 5 minutes. The centralized control engine includes: Terminal status monitoring matrix: records the operating mode, interface level, network delay and operation log of each terminal in real time; Instruction priority scheduling module: divides control instructions into three levels according to their urgency: emergency shutdown, interface jump, and data synchronization, dynamically sorts them, and gives priority to high-priority instructions; Device exception handling module: monitors the terminal online status through the heartbeat detection mechanism. When it is detected that the terminal does not respond to the heartbeat signal three times in a row, it automatically isolates the faulty device and starts the backup terminal takeover process.

[0048] Adopting the above technical solution: This solution can achieve improved command execution efficiency. The three-level priority scheduling reduces the response time of emergency shutdown commands to less than 100ms, which is 10 times faster than the traditional polling mechanism. It has fault self-healing capabilities. The heartbeat detection is combined with the backup terminal takeover process to automatically complete the faulty device switching within 30 seconds, and the system availability reaches 99.99%. For example, centralized storage of sensitive meeting data faces two major risks: once the centralized storage server is compromised, all data may be leaked; the authenticity of audit logs is difficult to verify, and there is a possibility of subsequent tampering. The post-meeting data archiving module includes: Blockchain evidence storage unit: Generates a unique hash value for key meeting information and uploads it to the blockchain network, forming an unalterable timestamp evidence; File fragmentation encryption storage unit: Sensitive data is divided into multiple encrypted fragments and distributed to the local storage space of participating terminals. Full decryption is only possible with the authorization of more than half of the terminals; Audit log verification unit: Verifies the compliance of operation logs through zero-knowledge proof technology to ensure that specific operation content is not disclosed during the audit process.

[0049] Adopting the above technical solution: This solution can ensure that the risk of data leakage is reduced. Fragmented encrypted storage requires more than 50% of terminals to be authorized before decryption, and the invalidity of data fragments obtained by single-point attacks is 100%; To achieve audit traceability, blockchain evidence storage increases the accuracy of log tampering detection to 99.999%, and zero-knowledge proof ensures that the original operation content is not disclosed during the audit process. Traditional cross-device adaptation requires manual parameter configuration. Specifically, switching resolutions requires a system restart, interrupting the meeting process. Multi-language support relies on pre-installed language packs and cannot dynamically load new languages. The global adjustment function for system parameters includes: Resolution adaptive configuration: automatically matches the best display solution according to the terminal device type, and supports manual adjustment of the scaling ratio; Multi-language real-time switching function: Dynamically load language packs and update the interface language during a meeting without restarting the system or interrupting the meeting process; Energy consumption linkage control strategy: When the power saving mode is turned on, the terminal screen brightness is simultaneously reduced, the background process resource usage is limited, and the low-power communication protocol is enabled.

[0050] The above technical solution can achieve a seamless switching experience. The adaptive resolution configuration supports real-time adjustment of the display ratio during the meeting, and the screen refresh delay is less than 200ms. It also ensures language scalability. The hot loading mechanism reduces the deployment time of new language packs from hours to minutes, and supports instant switching to minority languages ​​(such as Swahili).

[0051] For example, the device fault detection lags and network fluctuation response is insufficient: Traditional monitoring focuses only on the current network status and cannot predict bandwidth changes; hardware fault judgment relies on a single indicator (such as battery power), with a false alarm rate exceeding 30%. The terminal online status monitoring function includes: Network quality prediction model: Based on historical data, it predicts bandwidth fluctuations within the next 5 seconds in real time and dynamically adjusts data transmission strategies. Device health scoring system: Generates a health score based on a comprehensive assessment of terminal power, network stability, and hardware load. When the score falls below a preset threshold, data compression transmission and resource release are automatically triggered. 3D topology visualization interface: Displays the physical location, communication link status, and inter-device relationships of all terminals in real time using a 3D view. Click to view detailed information.

[0052] It's worth mentioning that this solution can predict network quality. The bandwidth prediction accuracy based on the LSTM model reaches 95%, and dynamic adjustment of transmission strategies reduces video freezes by 70%. It can also perform precise health assessments. A scoring model that integrates power consumption, CPU load, and packet loss rate reduces the false alarm rate of hardware failures to below 5%, and resource release strategies extend the service life of low-end terminals by 40%.

[0053] Unless otherwise specified, the device components involved in the above embodiments are all conventional device components, and the connection methods and control methods involved are all conventional connection methods and control methods unless otherwise specified.

[0054] The present invention has been described in detail above with reference to the embodiments. However, those skilled in the art will appreciate that, without departing from the spirit of the present invention, the specific parameters in the above embodiments may be modified to form multiple specific embodiments, which are all within the common variation range of the present invention and will not be described in detail here.

Claims

1. An electronic table card system for paperless intelligent conference, characterized in that: include: Conference management module: used to create and manage the conference life cycle, including conference list generation, conference room device number interval allocation, multi-conference room parallel control, conference message push and post-conference data archiving; Participant Management Module: supports tag-based group management, dynamic nameplate editing, simulated ranking algorithm, and seat attribute configuration, achieving two-way data synchronization between participants and terminals; The data management module provides concurrent upload of multiple files, encrypted storage, and role-based permission control. It also integrates a voting system and supports statistics and visualization of voting items and custom voting items. System management module: includes terminal online status monitoring, dynamic power management, adaptive resolution configuration and global adjustment of system parameters; Centralized control engine: used for cross-terminal interface jump command distribution, device power policy scheduling and real-time data synchronization verification to ensure consistency of multi-terminal operations; Secure communication protocol stack: A hybrid encryption algorithm is used to ensure the integrity of conference data transmission, and dynamic terminal identity authentication is achieved based on session tokens.

2. The electronic table card system for paperless intelligent conference according to claim 1 is characterized in that: The simulation ranking algorithm adopts an optimization model based on the venue topology structure, and its seat allocation weight calculation satisfies the following formula: , in, Optimize the overall ranking score to select the best seat layout; represents the normalized distance factor between the i-th participant and the main seat, with a value range of [0,1]; Assign values ​​to the role weights of participants according to preset rules; is the positive incentive parameter of historical attendance frequency; The degree of matching of the current venue shape is calculated based on the azimuth angles of the door and large screen; 、 as well as is a configurable weighting coefficient that satisfies .

3. The electronic table card system for paperless intelligent conference according to claim 1 is characterized in that: The dynamic power management adopts a time-sharing energy consumption prediction model, and the terminal life time The calculation formula is: ， in, is the nominal capacity of the battery; , They are the screen active state and sleep state current respectively; It is the network signal quality correction factor, and its value is positively correlated with the Wi-Fi / 5G signal strength.

4. The electronic table card system for paperless intelligent conference according to claim 1, characterized in that: The voting statistics module adopts a multi-dimensional credibility verification mechanism, and the voting validity determination formula is: ， in: 、 as well as They are the number of valid consent votes, invalid votes and total number of participants; is the voting duration deviation penalty item, ; is the authority abnormality factor, which is calculated by the matching degree between the user role and the voting authority; when The voting result is deemed valid when .

5. The electronic table card system for paperless intelligent conference according to claim 1 is characterized in that: The secure communication protocol stack includes: Double-layer encryption mechanism of packet-level AES-256 encryption and RSA-2048 key exchange; ， in, The base validity period is is the network environment risk factor; To dynamically adjust the step size; and The current and maximum number of concurrent sessions respectively.

6. The electronic table card system for paperless intelligent conference according to claim 1, characterized in that: The nameplate dynamic editing module includes: Vector font rendering engine: supports real-time loading and anti-aliasing of user-defined font libraries, ensuring clear text display at different font sizes; Background image intelligent adaptation module: uses a scaling algorithm to keep the proportions of nameplate background elements consistent on terminals with different resolutions; Version history management module: automatically saves historical versions of editing operations, dynamically adjusts the maximum number of retained versions based on storage space capacity, and supports one-click backtracking to a specified version.

7. The electronic table card system for paperless intelligent conference according to claim 1 is characterized in that: The centralized control engine includes: Terminal status monitoring matrix: records the operating mode, interface level, network delay and operation log of each terminal in real time; Instruction priority scheduling module: divides control instructions into three levels according to their urgency: emergency shutdown, interface jump, and data synchronization, dynamically sorts them, and gives priority to high-priority instructions; Device exception handling module: monitors the terminal online status through the heartbeat detection mechanism. When it is detected that the terminal does not respond to the heartbeat signal three times in a row, it automatically isolates the faulty device and starts the backup terminal takeover process.

8. The electronic table card system for paperless intelligent conference according to claim 1, characterized in that: The post-conference data archiving module includes: Blockchain evidence storage unit: Generates a unique hash value for key meeting information and uploads it to the blockchain network, forming an unalterable timestamp evidence; File fragmentation encryption storage unit: Sensitive data is divided into multiple encrypted fragments and distributed to the local storage space of participating terminals. Full decryption is only possible with the authorization of more than half of the terminals; Audit log verification unit: Verifies the compliance of operation logs through zero-knowledge proof technology to ensure that specific operation content is not disclosed during the audit process.

9. The electronic table card system for paperless intelligent conference according to claim 1, characterized in that: The system parameter global adjustment function includes: Resolution adaptive configuration: automatically matches the best display solution according to the terminal device type, and supports manual adjustment of the scaling ratio; Multi-language real-time switching function: Dynamically load language packs and update the interface language during a meeting without restarting the system or interrupting the meeting process; Energy consumption linkage control strategy: When the power saving mode is turned on, the terminal screen brightness is simultaneously reduced, the background process resource usage is limited, and the low-power communication protocol is enabled.

10. The electronic table card system for paperless intelligent conference according to claim 1, characterized in that: The terminal online status monitoring function includes: Network quality prediction model: Based on historical data, it predicts bandwidth fluctuations within the next 5 seconds in real time and dynamically adjusts data transmission strategies. Device health scoring system: Generates a health score based on a comprehensive assessment of terminal power, network stability, and hardware load. When the score falls below a preset threshold, data compression transmission and resource release are automatically triggered. 3D topology visualization interface: Displays the physical location, communication link status, and inter-device relationships of all terminals in real time using a 3D view. Click to view detailed information.

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