Audio and video conference full-life-cycle management implementation method oriented to conference process management and control

Abstract

The invention provides an audio and video conference full-life-cycle management implementation method oriented to conference process management and control, and relates to the technical field of conference process management and control, and the method comprises the following steps: providing intelligent reservation and issue standardization management before a conference through a conference management and service driving engine; performing multi-terminal notification and conference participation confirmation before the conference; establishing an equipment life cycle service engine for dynamically monitoring the agenda progress; performing post-conference data acquisition and analysis, and extracting conference life cycle management efficiency and equipment resource utilization indexes; and summarizing data of each link of the conference, pre-checking the failure rate from the equipment and the like, and outputting an optimized path in multiple dimensions. Static conference room resources and equipment resources are called by a dynamic conference process through the established conference full-life-cycle driving engine model, so that the utilization rate of the conference room is improved, and meanwhile, the emergency conference response time is compressed based on automatic calibration and resource redistribution of the agenda emergency level.

Description

Technical Field

[0001] The present invention relates to the technical field of conference process control, and in particular to a method for implementing full life cycle management of audio and video conferences oriented to conference process control. Background Art

[0002] During the meeting process, systematic and standardized processes are used to manage the entire process from planning, scheduling, preparation, convening, recording, and archiving and reviewing meetings. This significantly improves meeting efficiency and quality, maximizing the use of audio, video, and conference room resources. However, during the lifecycle management of each conference room, meetings are not arranged in a simple sequence. New meetings need to be arranged appropriately.

[0003] Existing technologies rely on manual scheduling of temporary emergency meetings, which, due to a lack of intelligent scheduling and real-time coordination, are prone to multiple risks. First, there is a high risk of time conflicts. Manual operations may overlook other scheduled meetings, resulting in duplicate use of meeting resources (such as conference rooms and equipment), preventing participants from joining on time or causing meeting interruptions. Furthermore, it is difficult to comprehensively consider the equipment management issues used throughout the lifecycle of each meeting. The number and type of equipment used in different meetings vary, which obviously disrupts conference room management and increases the difficulty of controlling meeting processes. These issues not only reduce the effectiveness of meetings but also increase the risks of organizational operations, while also preventing the full value of each meeting from being realized.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for implementing the full life cycle management of audio and video conferences for conference process control, so as to solve the problems raised in the above-mentioned background technology. The present invention uses a full life cycle driving engine model of a conference to mobilize static conference room resources and equipment resources with a dynamic conference process, and supports the optimal allocation and rapid scheduling of resources based on the integrated management and control of all-factor conference resources, thereby ultimately improving the utilization rate of the conference room. At the same time, it integrates IoT device pre-inspection and digital twin monitoring to reduce the impact of equipment failures, and automatically calibrates and reallocates resources based on the agenda urgency level to compress the response time of emergency meetings.

[0006] To achieve the above object, the present invention provides the following technical solutions: The method for implementing the full life cycle management of audio and video conferences for conference process control includes the following steps: S1. The conference management and service-driven engine provides intelligent reservations and standardized topic management before meetings. It intelligently screens available meeting rooms based on the number of participants and equipment requirements, automatically avoids time conflicts, and establishes a topic submission process: Participants submit topics and materials in advance, and the system automatically triggers the approval chain to ensure topic quality and generate a standardized topic library. It also dynamically updates resource status and topic lists. S2. Pre-meeting multi-device notification and participant confirmation: The conference management and service system pushes the conference theme, agenda, and material links to participants. Participants can update their attendance status in real time through one-click feedback. For unconfirmed participants, the system automatically triggers a second reminder until the preparation stage for all eligible participants is completed. S3. Establish an equipment lifecycle service engine to dynamically monitor agenda progress, provide reminders of overdue topics through a digital dashboard, and authorize adjustments to speaking time. It also provides a two-dimensional conference support mechanism for audio and video equipment resources, including an active audio and video equipment management and control system and an emergency rapid response system. The active audio and video equipment management and control system is used for real-time inspection of audio and video equipment, and the emergency rapid response system is used to develop hierarchical emergency plans and preset handling processes for common faults. S4. Post-meeting data collection and analysis: systematically collect, multi-dimensionally summarize, and deeply analyze various data generated throughout the meeting process. The generated data includes meeting duration, topic discussion time, speaking frequency, decision-making results, participant interaction data, and equipment operating parameters. Through data cleaning, we can extract indicators such as meeting lifecycle management efficiency and equipment resource utilization. S5. Summarize the data of each link of the meeting, compare historical efficiency indicators through the dashboard, identify bottleneck links, generate improvement reports regularly, and output optimization paths from the dimensions of equipment pre-inspection faults and failures, personnel overcapacity, and deferred compensation gaps. The optimization path includes four dimensions: implanting an intelligent reminder mechanism, strengthening equipment reliability, optimizing the meeting experience, and reducing resource waste.

[0007] Furthermore, the architectural core of the conference management and service-driven engine model includes a decision-making layer, a resource layer, and an execution layer. The decision-making layer is the dominant engine for the entire life cycle of the conference, and is used to analyze conference parameters in real time, including the participants, duration, and equipment resource requirements of new conferences, and establish an emergency level calibration matrix through the decision-making layer. The emergency level construction dimensions include conference theme, conference level, conference goals, and conference decision type. After the emergency level is completed, the resource conflict probability is calculated, and the release of low-priority conference resources is automatically triggered.

[0008] Furthermore, the resource layer includes a conference room lifecycle service engine module and a device lifecycle service engine module. The conference room lifecycle service engine is used to scan the conference room calendar and identify time overlap, personnel overcapacity and space conflicts in real time. The device lifecycle service engine module collects device health in real time, provides device assurance services, and forms a digital twin. The scope of device assurance services includes MCU conference equipment, audio equipment and systems, video equipment and systems, audio and video control equipment, display control management equipment, and hardware backup storage equipment. The conference room lifecycle service engine calculates the resource gap caused by the insertion of a new meeting and generates a lifecycle plan for the refreshed conference room. When the insertion of a new meeting causes a time conflict, the system initiates a compensation strategy based on the urgency level ranking. First, the start time of low-priority meetings within the conflict period is shifted and the associated resources are adjusted synchronously. If there is still a device resource gap after the shift, alternative equipment is dynamically allocated from the backup resource library. For critical meetings that cannot be shifted, space degradation compensation is initiated: the personnel are split and allocated to two other conference rooms to start the meeting synchronously until the closed-loop verification of all application device resources is passed.

[0009] Furthermore, the device lifecycle service engine module tracks the device operating status in real time. When an abnormal threshold is detected, it automatically triggers the subsequent conference guarantee process: first, it starts the self-repair process of restarting the faulty module. If it fails to recover, it calls the shared pool backup device and synchronizes the conference data, and dispatches operation and maintenance personnel to intervene. For critical faults, it performs cloud session migration to ensure zero interruption of the meeting, and automatically generates a device health report after the meeting and pushes it to the decision-making level, realizing closed-loop control from predictive maintenance to real-time guarantee.

[0010] Furthermore, it also includes the specific execution process of the resource layer: instruction reception, dynamic response and closed-loop feedback. The instruction reception is used to receive agenda change instructions caused by meeting insertion issued by the decision-making layer, and parse the resource demand vector; the dynamic response includes detecting conference room engine scanning conflicts, judging the startup delay compensation algorithm, directly allocating resources, generating life cycle planning results after the conference room is refreshed, device engine startup pre-inspection and calling the shared device pool; the closed-loop feedback includes real-time pushing of resource occupancy status to the decision-making layer and automatic release of resources after the meeting ends, and updating the life cycle status library.

[0011] Furthermore, a conflict detection matrix is ​​built in the execution layer, and the conference management and service driving engine receives the newly added conference parameters and emergency levels issued by the decision-making layer in real time, and verifies the four-dimensional conflict through the parallel computing engine.

[0012] Furthermore, the four-dimensional conflict includes the following contents: Time dimension: based on detecting conference room occupancy conflicts; Personnel dimension: calculate the number of participants; Device dimension: Connecting to the IoT data stream of the device lifecycle service engine module to identify key device gaps; Spatial dimension: After obtaining the conference room venue information and the number of people, verify the physical space adaptability.

[0013] Furthermore, the execution layer is used to execute the division and control of meetings, conference rooms and equipment, including the real-time monitoring and response stage, the intelligent scheduling stage and the closed-loop optimization stage. The real-time monitoring and response stage synchronously obtains the real-time status data of the resource layer after receiving the operation instructions of meeting insertion and agenda change issued by the decision-making layer. If the new meeting is inserted based on the emergency level and the life cycle of the conference room and equipment is redistributed, the final management result of the conference room is generated. If an irreconcilable control and allocation contradiction occurs, dynamic resource scheduling is performed, and a substitute strategy is adopted to replace the established meeting with a lower emergency level to increase the proportion of unoccupied time of the conference room and equipment. The parallel computing engine verifies the four-dimensional conflict, performs a full-dimensional conflict scan, and generates a quantitative conflict scoring report: the intelligent scheduling stage automatically goes directly to the resource allocation channel when the score is qualified; if it is unqualified, the equipment sharing strategy and personnel diversion mechanism of the dynamic scheduling pool are activated, and the executed scheduling plan is simultaneously pushed to the decision-making layer.

[0014] Furthermore, after the meeting, the executive layer automatically collects scoring data throughout the entire life cycle of the meeting through the full-factor analysis module. The scoring data includes actual agenda deviation, equipment failure frequency, resource utilization fluctuations, and real-time feedback from participants, and calculates the meeting quality score based on the weighted quality assessment matrix: , Among them, Q m The final meeting quality score; C m The completion rate of the meeting agenda; S p The satisfaction of the participants; U d The utilization rate of audio and video resources; F d is the frequency of equipment failure; F th is the equipment failure frequency threshold; k is the exponential growth coefficient; The implanted intelligent reminder mechanism breaks down the meeting into segments and sets anchor points for the agenda, automatically alerting when each anchor point deviates from the scheduled agenda by ≥15%; the enhanced equipment reliability dynamically expands the mobile terminal backup pool based on the collected equipment stability shortcomings; the optimized meeting experience generates a resolution tracking template based on satisfaction feedback and implements intelligent sub-venue diversion when the number of participants exceeds a threshold; the compressed resource waste reallocates shared resources through the equipment idle rate and statistically classifies equipment resources through deferred compensation.

[0015] Furthermore, it also includes collecting the list of meeting participants, preset duration and resource requirement list, generating new meeting parameter indicators, synchronously obtaining conflicting time periods and resource occupancy status in the conference room calendar, and generating conference room life cycle planning data; automatically calibrating the emergency level according to the type and nature of the meeting, and at the same time calibrating the emergency level of each existing meeting in the conference room calendar; re-planning the life cycle planning content of the conference room based on the emergency level of the new meeting and the emergency level of the existing meeting, automatically triggering equipment pre-inspection of the inserted emergency meeting, inputting the new meeting parameter indicators and the existing conference room life cycle planning data, and verifying the conflicts in multiple dimensions of time, personnel, venue and equipment through the resource scheduling engine, and automatically compensating the required resources for the postponed meeting after the new meeting is inserted; Determine whether there are irreconcilable management and control allocation conflicts. After completing the entire life cycle of each meeting, conduct statistical analysis on the meeting data, obtain meeting quality evaluation, and generate a final improvement report.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. This method for implementing the full life cycle management of audio and video conferences for conference process control uses a conference full life cycle driving engine model to mobilize static conference room resources and equipment resources through dynamic conference processes. It supports the optimal allocation and rapid scheduling of resources based on the integrated management of all-factor conference resources (conference rooms, conference equipment, operation and maintenance service personnel, etc.), ultimately improving the utilization rate of conference rooms. At the same time, it integrates IoT device pre-inspection and digital twin monitoring to reduce the impact of equipment failures, and automatically calibrates and reallocates resources based on the agenda's urgency level to shorten the response time for emergency meetings.

[0017] 2. This method for implementing full-lifecycle management of audio and video conferences for conference process control utilizes a hierarchical response mechanism, inputting new conference parameter indicators and existing conference room lifecycle planning data to reduce the time required for traditional manual coordination. Furthermore, intelligent replacement strategies reduce resource conflicts and maximize the value of each conference room and equipment.

[0018] 3. This method statistically analyzes meeting data across its entire lifecycle and generates improvement reports, enabling systematic assessment of meeting quality and efficiency, pinpointing process bottlenecks and optimization areas, and providing data support for subsequent meeting management. This method can iteratively optimize meeting organization, agenda setting, and service support, promoting standardized and intelligent meeting management upgrades, ultimately improving the efficiency of decision-making for new meetings and the rationality of final meeting room management allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of a method for implementing full life cycle management of audio and video conferences for conference process control according to the present invention; Figure 2 Schematic diagram of the implementation method for the full life cycle management of audio and video conferences; Figure 3 This is a framework diagram of the conference management and service driving engine model of the present invention. DETAILED DESCRIPTION

[0020] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0021] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly. Example

[0022] See also Figure 1-Figure 3 , the present invention provides a technical solution: A method for implementing full lifecycle management of audio and video conferences for conference process control uses a built conference full lifecycle driving engine model to mobilize static conference room resources and equipment resources through dynamic conference processes. This supports optimal resource allocation and rapid scheduling based on the integrated management of all-factor conference resources, ultimately improving conference room utilization. This method also integrates IoT device pre-inspection and digital twin monitoring to reduce the impact of equipment failures. Automatically calibrating and reallocating resources based on agenda urgency levels compresses emergency meeting response times. This embodiment provides a new conference and uses the conference driving engine to complete the full lifecycle management of the conference, conference room, and equipment. Specifically, the following steps are included: (1) Through the conference management and service driving engine, intelligent reservation and standardized management of topics are provided before the meeting. Free conference rooms are intelligently screened according to the number of people and equipment requirements, and time conflicts are automatically avoided. A topic submission process is established: participants submit topics and materials in advance, and the system automatically triggers the approval chain to ensure the quality of topics and generate a standardized topic library, and dynamically update the resource status and topic list; (2) Pre-meeting multi-terminal notification and participant confirmation. The conference management and service system pushes the conference theme, agenda, and material links to the participants. Participants can update their attendance status in real time through one-click feedback. For unconfirmed participants, the system automatically triggers a second reminder until the preparation stage for all participants is completed. (3) Establish an equipment lifecycle service engine to dynamically monitor the progress of the agenda, remind overdue topics through digital dashboards and authorize the adjustment of speaking time, and provide a two-dimensional conference guarantee mechanism for audio and video equipment resources, including an active audio and video equipment management and control system and an emergency rapid response system. The active audio and video equipment management and control system is used for real-time inspection of audio and video equipment, and the emergency rapid response system is used to formulate hierarchical emergency plans and preset handling processes for common faults; (4) Post-meeting data collection and analysis: systematically collect, summarize, and deeply analyze various data generated throughout the meeting. The generated data includes meeting duration, topic discussion duration, speaking frequency, decision-making results, participant interaction data, and equipment operating parameters. Through data cleaning, the meeting lifecycle management efficiency and equipment resource utilization indicators are extracted; (5) Summarize the data of each link of the meeting, compare the historical efficiency indicators through the dashboard, identify the bottleneck links, generate improvement reports regularly, and output the optimization path from the dimensions of equipment pre-inspection faults and failures, personnel overcapacity, and delayed compensation gaps. The optimization path includes four dimensions: implanting an intelligent reminder mechanism, strengthening equipment reliability, optimizing the meeting experience, and reducing resource waste.

[0023] The meeting management system collects the attendee list, scheduled duration, and resource requirements for the new meeting, generates new meeting parameter indicators, and simultaneously obtains conflicting time periods and resource occupancy status from the conference room calendar to generate conference room lifecycle planning data. A scan reveals that the only available conference room is occupied by another meeting, creating a conflict in conference room equipment resources. A conflict report with time zone calibration is generated, identifying equipment gaps. A meeting management and service-driven engine model is established to automatically assign urgency levels based on meeting type and nature. The urgency level of existing meetings in the conference room calendar is also assigned the highest urgency level, and conflicting meetings are downgraded. The priority of new meetings is automatically increased based on their risk weights. The conference room lifecycle planning is rescheduled based on the urgency levels of the new and existing meetings, automatically triggering equipment pre-inspections after the new emergency meeting is inserted. New meeting parameter indicators and existing conference room lifecycle planning data are input, and the resource scheduling engine verifies conflicts across multiple dimensions, including time, personnel, venue, and equipment. Resources are automatically compensated for any postponed meetings after the new meeting is inserted. The lifecycle divisions of each meeting are scheduled, and the new meeting is coordinated to occupy the conflicting time period. Multi-level equipment pre-inspections are triggered, and the equipment lifecycle service engine module automatically schedules pre-meeting repairs for the IT operations team. Determine whether there are irreconcilable management and allocation conflicts. If the new meeting is inserted based on the emergency level and the life cycle of the conference room and equipment is redistributed, the final management result of the conference room is generated. If irreconcilable management and allocation conflicts occur, dynamic resource scheduling is performed, and a substitute strategy is used to replace the existing meetings with lower emergency levels to increase the proportion of unoccupied time of conference rooms and equipment. After completing the full life cycle of each meeting, statistical analysis is performed on the meeting data to obtain the meeting quality evaluation and generate the final improvement report.

[0024] In this embodiment, the architectural core of the conference management and service-driven engine model includes a decision-making layer, a resource layer, and an execution layer. The decision-making layer serves as the dominant engine for the entire life cycle of the conference. It dynamically analyzes newly added conference parameters (including a list of cross-departmental participants, a preset duration accurate to the minute, and equipment resource requirements such as 4K cameras / digital whiteboards) through a real-time parallel processing framework, and calibrates the emergency level based on a multi-dimensional decision matrix. This matrix deeply integrates the weight of the conference topic, the organizational hierarchy coefficient, the target value density, and the urgency of the decision type, while introducing agenda dynamic factors. For example, the frequency of agenda changes increases by one level for each additional change. After completing the level calibration, the decision-making layer immediately drives the graph neural network model to calculate three-dimensional conflict probabilities: the rate of personnel overcapacity, the alarm triggered after the personnel overcapacity, the risk of resource conflict (equipment gaps / time-space occupancy collisions), and the probability of cross-conference dependency chain breaks. It also automatically activates the replacement strategy based on the conflict heat map, which has been measured to improve the efficiency of emergency meeting scheduling.

[0025] In this embodiment, the resource layer serves as the core support system of the driving engine and is composed of two modules: the conference room lifecycle service engine and the device lifecycle service engine. It realizes the dynamic scheduling of static resources through a real-time collaboration mechanism.

[0026] The conference room lifecycle service engine continuously monitors the conference room calendar based on the space-time cube scanning algorithm, identifies time window overlaps (such as new meetings colliding with existing meeting times), overcapacity risks, and physical space conflicts in three dimensions, and simultaneously constructs a resource occupancy heat map; the device lifecycle service engine collects six major types of device health indicators in real time through a distributed IoT sensor network - including the CPU load rate of MCU conference equipment, the signal-to-noise ratio of the audio system (>35dB), the frame rate stability of the video system (≥30fps), the command response delay of the audio and video control equipment (<200ms), the color gamut coverage of the display control and management equipment (sRGB 99%), and the RAID redundancy status of the hardware backup storage device, and realizes millisecond-level fault prediction based on digital twins (such as microphone array frequency response offset warning), forming a guarantee service chain covering the entire life cycle of the equipment.

[0027] When the insertion of a new meeting triggers a resource conflict, the dual engines initiate a cascading response mechanism: the conference room engine first calculates the temporal and spatial resource gap (for example, a two-hour meeting delay causes the postponement of three related meetings), and activates a three-level compensation strategy based on the urgency level ranking - Priority One: nonlinear shifting is implemented for low-level meetings (≤ Level 4) in the conflict zone; Priority Two: when equipment gaps still exist after shifting (such as a shortage of 4K cameras), hot standby equipment is dispatched from the dynamic shared resource library; Priority Three: for critical meetings that cannot be shifted, the spatial degradation compensation engine is activated, the venue is split into two sub-venues, and the device engine is linked to perform closed-loop verification: the audio system enables beamforming microphones to eliminate echo interference, the video system enables multi-screen synthesis to ensure resolution synchronization, and the display control system automatically distributes agenda views until all equipment resources pass the real-time fault tolerance verification of the digital twin, making the fault suppression rate ≥ 99.2%, and finally outputs a new lifecycle planning table with a reliability score.

[0028] In this embodiment, the device lifecycle service engine module tracks the device operating status in real time through the IoT sensor network. When an abnormal threshold is detected, it automatically triggers the subsequent conference guarantee process: first, the self-repair process of the faulty module is started. If it has not recovered, the shared pool backup device is called and the conference data is synchronized, and operation and maintenance personnel are dispatched to intervene. For critical faults, cloud session migration is performed to ensure zero interruption of the meeting, and a device health report is automatically generated after the meeting and pushed to the decision-making level, realizing closed-loop control from predictive maintenance to real-time guarantee.

[0029] This embodiment also includes a specific execution process of the resource layer: instruction reception, dynamic response and closed-loop feedback. The instruction reception is used to receive agenda change instructions caused by meeting insertion issued by the decision-making layer and parse the resource demand vector; the dynamic response includes detecting conference room engine scanning conflicts, determining the startup delay compensation algorithm, directly allocating resources, generating life cycle planning results after the conference room is refreshed, device engine startup pre-inspection and calling the shared device pool; the closed-loop feedback includes real-time push of resource occupancy status to the decision-making layer, automatic release of resources after the meeting ends, and updating the life cycle status library.

[0030] In this embodiment, a conflict detection matrix is ​​built in the execution layer, and the conference management and service driving engine receives the newly added conference parameters and emergency levels issued by the decision layer in real time, and verifies the four-dimensional conflict through the parallel computing engine.

[0031] In this embodiment, the four-dimensional conflict includes the following contents: Time dimension: detecting conference room occupancy conflicts; Personnel dimension: calculate the number of participants; Device dimension: Connecting to the IoT data stream of the device lifecycle service engine module to identify key device gaps; Spatial dimension: After obtaining the conference room venue information and the number of people, verify the physical space adaptability.

[0032] In this embodiment, the execution layer is used to execute the division and control of meetings, conference rooms and equipment, including the real-time monitoring and response stage, the intelligent scheduling stage and the closed-loop optimization stage. The real-time monitoring and response stage receives the operation instructions of meeting insertion and agenda change issued by the decision-making layer, and synchronously obtains the real-time status data of the resource layer. The parallel computing engine verifies the four-dimensional conflict, performs a full-dimensional conflict scan, and generates a quantitative conflict scoring report: the intelligent scheduling stage automatically directly connects to the resource allocation channel when the score is qualified; if it is unqualified, it activates the equipment sharing strategy and personnel diversion mechanism of the dynamic scheduling pool, and synchronously pushes the executed scheduling plan to the decision-making layer.

[0033] In this embodiment, after the meeting ends, the executive layer automatically collects scoring data from the entire life cycle of the meeting through the full factor analysis module. The scoring data includes the actual agenda deviation, equipment failure frequency, resource utilization fluctuation, and real-time feedback from participants, and calculates the meeting quality score based on the weighted quality assessment matrix: , Among them, Q m is the final conference quality score, Q m C m 、S p 、U d is positively correlated with F dnegative correlation effects; C m The agenda completion rate is the highest weight, reflecting the degree of achievement of the meeting's core objectives. S p To measure the satisfaction of the participants, a structured questionnaire was sent to each participant within 24 hours after the meeting. The participants were asked to rate their pre-meeting experience, in-meeting experience, and post-meeting effectiveness on a 10-point scale. The average score was calculated after obtaining the final satisfaction results of all participants. U d The utilization rate of audio and video resources; F d is the equipment failure frequency, F d It is a negative indicator weighted value, and the equipment failure frequency is used as a penalty item. The more failures there are, the lower the quality score is. F th The threshold value for the frequency of equipment failures needs to be set according to the actual scenario. In this embodiment, the critical value is determined by historical data. k is the exponential growth coefficient, which controls the intensity of the penalty after exceeding the threshold (k>0, the larger the value, the more severe the impact); When F≤F th hour, , the exponential term exp(0)=1, the denominator is simplified to 0.3F, and the formula degenerates into the original linear form (i.e., the increase in fault frequency leads to a linear decrease in Q). When F>F th hour: , the denominator becomes, , at this time, as F increases, the exponential function The rapid growth leads to a sharp expansion of the denominator and an exponential decrease in the Q value. This reflects the more serious impact on meeting quality after the failure frequency exceeds the threshold.

[0034] This embodiment also provides the following specific calculation process for explanation: Assumption F th =5 (critical point of failure frequency), k = 0.2: If F = 4 (below the threshold), the denominator ≈ 0.3 × 4 = 1.2; If F=6 (exceeds the threshold), the denominator = 0.3×6×exp(0.2×(6-5))≈1.8×1.221 =2.198, and the Q value is significantly reduced; If F = 10 (much higher than the threshold), the denominator ≈ 0.3 × 10 × exp(0.2 × 5) ≈ 3 × 2.718 = 8.154, and the Q value is close to zero, indicating that the system is unavailable.

[0035] An improvement plan is generated based on the conference quality score, and an optimization path is output from the dimensions of equipment pre-inspection faults and failures, overcapacity, and postponement compensation gaps. The optimization path includes four dimensions: implanting an intelligent reminder mechanism, strengthening equipment reliability, optimizing the meeting experience, and compressing resource waste. The implanted intelligent reminder mechanism divides the meeting into segments and sets anchor points for the agenda. Once each anchor point deviates from the scheduled agenda by ≥15%, an automatic warning will be issued; the enhanced equipment reliability dynamically expands the mobile terminal backup pool based on the collected equipment stability rate shortcomings; the optimized meeting experience generates a resolution tracking template based on satisfaction feedback and implements intelligent sub-venue diversion after overcapacity and exceeding the threshold; the compressed resources reallocate shared resources through equipment idle rate, and statistically classify equipment resources through postponement compensation.

[0036] In this embodiment, the intelligent maintenance module of the conference management and service driving engine deeply integrates the Internet of Things and digital twin technologies, and immediately starts the full-dimensional equipment protection process 30 minutes before and after the newly added meeting: the equipment life cycle engine collects the health status of the equipment in real time through the multimodal IoT sensor array deployed in the conference room (covering multiple parameters such as camera frame rate stability, microphone signal-to-noise ratio threshold, codec transmission delay, central control system command response, etc.), and synchronously links the digital twin to compare the historical operation and maintenance database, and uses the Bayesian anomaly detection algorithm to accurately identify potential faulty equipment, and dynamically mark the three levels of pre-inspection level - L1 immediate repair (critical function failure), L2 24-hour maintenance (performance degradation), L3 periodic maintenance (preventive maintenance); simultaneous push of intelligent work orders to the operation and maintenance dispatch center, and dynamic personnel routing based on urgency: work orders are directly dispatched to the nearest engineer; at the same time, the conference room resource chain is automatically released: occupied time periods are reclaimed, the cumulative usage time of equipment is reset, and resource gaps caused by deferred compensation are backfilled; maintenance data streams are injected into the full-factor analysis module in real time to drive three closed-loop optimizations: dynamic expansion of the shared equipment pool, update of the standby equipment status matrix, and iteration of the predictive maintenance model, ultimately achieving a significant reduction in the rate of meetings affected by equipment failures and improved operation and maintenance response efficiency.

[0037] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0038] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software depends on the specific application and design constraints of the technical solution.

[0039] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment as needed.

[0040] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited thereto. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be covered by the scope of protection of the present application.

Claims

1. A method for implementing full life cycle management of audio and video conferences for conference process control, characterized in that: The following steps are involved: S1. The conference management and service-driven engine provides intelligent reservations and standardized topic management before meetings. It intelligently screens available meeting rooms based on the number of participants and equipment requirements, automatically avoids time conflicts, and establishes a topic submission process: Participants submit topics and materials in advance, and the system automatically triggers the approval chain to ensure topic quality and generate a standardized topic library. It also dynamically updates resource status and topic lists. S2. Pre-meeting multi-device notification and participant confirmation: The conference management and service system pushes the conference theme, agenda, and material links to participants. Participants can update their attendance status in real time through one-click feedback. For unconfirmed participants, the system automatically triggers a second reminder until the preparation stage for all eligible participants is completed. S3. Establish an equipment lifecycle service engine to dynamically monitor agenda progress, provide reminders of overdue topics through a digital dashboard, and authorize adjustments to speaking time. It also provides a two-dimensional conference support mechanism for audio and video equipment resources, including an active audio and video equipment management and control system and an emergency rapid response system. The active audio and video equipment management and control system is used for real-time inspection of audio and video equipment, and the emergency rapid response system is used to develop hierarchical emergency plans and preset handling processes for common faults. S4. Post-meeting data collection and analysis: systematically collect, multi-dimensionally summarize, and deeply analyze various data generated throughout the meeting process. The generated data includes meeting duration, topic discussion time, speaking frequency, decision-making results, participant interaction data, and equipment operating parameters. Through data cleaning, we can extract indicators such as meeting lifecycle management efficiency and equipment resource utilization. S5. Summarize the data of each link of the meeting, compare historical efficiency indicators through the dashboard, identify bottleneck links, generate improvement reports regularly, and output optimization paths from the dimensions of equipment pre-inspection faults and failures, personnel overcapacity, and deferred compensation gaps. The optimization path includes four dimensions: implanting an intelligent reminder mechanism, strengthening equipment reliability, optimizing the meeting experience, and reducing resource waste.

2. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 1 is characterized in that: The architectural core of the conference management and service-driven engine model includes a decision-making layer, a resource layer, and an execution layer. The decision-making layer is the dominant engine for the entire life cycle of the conference, and is used to analyze conference parameters in real time, including the participants, duration, and equipment resource requirements of newly added meetings. An emergency level calibration matrix is ​​established through the decision-making layer. The dimensions of the emergency level construction include the conference theme, conference level, conference objectives, and conference decision type. After the emergency level construction is completed, the resource conflict probability is calculated, and the release of low-priority conference resources is automatically triggered.

3. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 2 is characterized in that: The resource layer includes a conference room lifecycle service engine module and a device lifecycle service engine module. The conference room lifecycle service engine is used to scan the conference room calendar and identify time overlap, personnel overcapacity and space conflicts in real time. The device lifecycle service engine module collects device health in real time, provides device assurance services, and forms a digital twin. The scope of device assurance services includes MCU conference equipment, audio equipment and systems, video equipment and systems, audio and video control equipment, display control management equipment, and hardware backup storage equipment. The conference room lifecycle service engine calculates the resource gap caused by the insertion of a new meeting and generates a refreshed lifecycle plan for the conference room. When the insertion of a new meeting causes a time conflict, the system initiates a compensation strategy based on the urgency level, first shifting the start time of low-priority meetings within the conflicting period and synchronously adjusting the associated resources. If there is still a gap in equipment resources after the migration, alternative equipment will be dynamically allocated from the backup resource library. For critical meetings that cannot be migrated, space degradation compensation will be initiated: the personnel will be split and allocated to two other conference rooms to start the meeting simultaneously until the closed-loop verification of all application equipment resources is passed.

4. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 3 is characterized by: The device lifecycle service engine module tracks the device operating status in real time. When an abnormal threshold is detected, it automatically triggers the subsequent conference guarantee process: first, it starts the self-repair process of restarting the faulty module. If it fails to recover, it calls the shared pool backup device and synchronizes the conference data, and dispatches operation and maintenance personnel to intervene. For critical faults, cloud session migration is performed to ensure zero interruption of the meeting, and a device health report is automatically generated after the meeting and pushed to the decision-making level, realizing closed-loop control from predictive maintenance to real-time guarantee.

5. The method for implementing the full life cycle management of audio and video conferences for conference process control according to claim 4 is characterized in that: It also includes the specific execution process of the resource layer: instruction reception, dynamic response and closed-loop feedback. The instruction reception is used to receive agenda change instructions caused by meeting insertion issued by the decision-making layer and parse the resource demand vector; the dynamic response includes detecting conference room engine scanning conflicts, judging the startup delay compensation algorithm, directly allocating resources, generating life cycle planning results after the conference room is refreshed, device engine startup pre-inspection and calling the shared device pool; the closed-loop feedback includes real-time push of resource occupancy status to the decision-making layer, automatic release of resources after the meeting ends, and updating the life cycle status library.

6. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 2 is characterized in that: A conflict detection matrix is ​​built in the execution layer, and the conference management and service driving engine receives the newly added conference parameters and emergency levels issued by the decision-making layer in real time, and verifies the four-dimensional conflict through the parallel computing engine.

7. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 6 is characterized in that: The four-dimensional conflict includes the following: Time dimension: based on detecting conference room occupancy conflicts; Personnel dimension: calculate the number of participants; Device dimension: Connecting to the IoT data stream of the device lifecycle service engine module to identify key device gaps; Spatial dimension: After obtaining the conference room venue information and the number of people, verify the physical space adaptability.

8. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 7 is characterized in that: The execution layer is used to execute the division and control of meetings, conference rooms and equipment, including the real-time monitoring and response stage, the intelligent scheduling stage and the closed-loop optimization stage. The real-time monitoring and response stage synchronously obtains the real-time status data of the resource layer after receiving the operation instructions of meeting insertion and agenda change issued by the decision-making layer. If the new meeting is inserted based on the emergency level and the life cycle of the conference room and equipment is redistributed, the final management result of the conference room is generated. If an irreconcilable control and allocation conflict occurs, dynamic resource scheduling is performed, and a substitute strategy is adopted to replace the established meeting with a lower emergency level to increase the proportion of unoccupied time of the conference room and equipment. The parallel computing engine verifies the four-dimensional conflict, performs a full-dimensional conflict scan, and generates a quantitative conflict scoring report: the intelligent scheduling stage automatically goes directly to the resource allocation channel when the score is qualified; if it is unqualified, the equipment sharing strategy and personnel diversion mechanism of the dynamic scheduling pool are activated, and the executed scheduling plan is synchronously pushed to the decision-making layer.

9. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 8, characterized in that: After the meeting, the executive layer automatically collects scoring data from the entire life cycle of the meeting through the full factor analysis module. The scoring data includes the actual agenda deviation, equipment failure frequency, resource utilization fluctuations, and real-time feedback from participants, and calculates the meeting quality score based on the weighted quality assessment matrix: ， Among them, Q m The final meeting quality score; C m The completion rate of the meeting agenda; S p The satisfaction of the participants; U d The utilization rate of audio and video resources; F d is the frequency of equipment failure; F th is the equipment failure frequency threshold; k is the exponential growth coefficient; The implanted intelligent reminder mechanism breaks down the meeting into segments and sets anchor points for the agenda, automatically alerting when each anchor point deviates from the scheduled agenda by ≥15%; the enhanced equipment reliability dynamically expands the mobile terminal backup pool based on the collected equipment stability shortcomings; the optimized meeting experience generates a resolution tracking template based on satisfaction feedback and implements intelligent sub-venue diversion when the number of participants exceeds a threshold; the compressed resource waste reallocates shared resources through the equipment idle rate and statistically classifies equipment resources through deferred compensation.

10. The method for implementing full lifecycle management of audio and video conferences for conference process control according to claim 3, characterized in that: It also includes collecting the meeting participant list, preset duration, and resource requirement list, generating new meeting parameter indicators, and simultaneously obtaining conflicting time periods and resource occupancy status in the conference room calendar to generate conference room lifecycle planning data; automatically calibrating the urgency level based on the type and nature of the meeting, and also calibrating the urgency level of each existing meeting in the conference room calendar; The conference room lifecycle planning content is re-planned based on the urgency level of new and existing meetings. The inserted emergency meeting automatically triggers equipment pre-check. The new meeting parameters and existing conference room lifecycle planning data are input. The resource scheduling engine verifies conflicts in time, personnel, venue, and equipment. The postponed meeting after the new meeting is inserted automatically compensates for the required resources. Determine whether there are irreconcilable management and control allocation conflicts. After completing the entire life cycle of each meeting, conduct statistical analysis on the meeting data, obtain meeting quality evaluation, and generate a final improvement report.

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