Intelligent conference management system and method
The intelligent conference management system solves the problem of user meeting time occupied by analyzing user historical data and predicting the next appointment time period, achieving flexible adjustment and efficient utilization of meeting time.
Patent Information
- Application Number
- CN202210415531.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-04-20
- Publication Date
- 2025-08-29
- Estimated Expiration
- 2042-04-20
AI Technical Summary
When the user is occupied by others in advance during the scheduled meeting period, the meeting cannot be carried out as planned, which affects the user's subsequent work.
Through the intelligent conference management system, the central processor analyzes user's historical appointment meeting data, predicts the next appointment time period, and reminds users to make an appointment in advance through the notification module, or automatically make an appointment when the user does not respond, considering the user's reaction time and working status, and optimizing the meeting time schedule.
It effectively avoids the situation where user meeting time is occupied, improves the flexibility and work efficiency of meeting appointments, and ensures that users can conduct meetings as planned.
Smart Images
Figure CN114861954B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of conference management, and in particular to an intelligent conference management system and method. Background Art
[0002] In today's information age, the management of corporate units tends to be information-based and network-based, and the pace of subordinate branch structures and departments is developing rapidly and groupization is accelerating.
[0003] The current conference management system realizes digital and intelligent management of conference rooms. It can schedule meetings online, display the status before, during and after meetings in real time, scientifically count the usage of each conference room, and effectively utilize conference room resources.
[0004] Regarding the above-mentioned related technologies, the inventors found that there are the following defects: users often have habitual time periods for meeting reservations. Once the time period reserved by the user is reserved in advance by others when the user makes an appointment for the next meeting, it is easy to affect the progress of the user's meeting, causing the user to need to reserve other time periods, which will affect the user's subsequent work. Summary of the Invention
[0005] In order to facilitate users to make appointments in advance for meetings that suit their usual time periods, the present application provides an intelligent conference management system and method.
[0006] In the first aspect, the present application provides an intelligent conference management system, which adopts the following technical solutions:
[0007] An intelligent conference management system, comprising:
[0008] The first database stores the time period information of the user's historical scheduled meetings;
[0009] Central processing unit, used for data retrieval, calculation and analysis;
[0010] The prediction module is used to analyze and predict the time period of the user's next appointment based on the time period information of the user's historical appointment meetings;
[0011] Notification module, used to send notification information to inform users of the next appointment time slot in preparation for advance booking;
[0012] The central processor uses the user as the query object, queries and obtains the time period information of the user's historical scheduled meetings from the first database, and uses the prediction module to predict the user's next scheduled time period information, and notifies the user of the next scheduled time period through the notification module so that the user can make an appointment in advance.
[0013] Optionally, an intelligent conference management system further includes:
[0014] The second database stores the user's response time to notification information at different time periods;
[0015] An active reservation module is used to proactively reserve the user's next meeting time slot based on the user's next reservation time slot information predicted by the prediction module;
[0016] Confirmation information receiving module, used to receive user feedback information;
[0017] The central processing unit uses the user and the time when the notification module sends the notification information as query objects, and queries from the second database to obtain the user's reaction time in the time period when the notification module sends the notification information;
[0018] If no feedback information sent by the user through the confirmation information receiving module is obtained within the query-acquired response time, the central processing unit activates the active reservation module to reserve the user's next meeting time period.
[0019] Optionally, an intelligent conference management system is characterized by further comprising:
[0020] The user reaction time prediction module is used to predict the user's reaction time in the time period when the notification module sends the notification information;
[0021] If the central processor cannot query and obtain the user's reaction time in the time period when the notification module sends the notification information from the second database, the user reaction time prediction module is started to predict the user's reaction time in the time period when the notification module sends the notification information.
[0022] Optionally, the user reaction time prediction module further includes:
[0023] The third database stores the user's reaction time to receiving other notification information in different time periods and working states;
[0024] The fourth database stores the work status of different time periods planned by the user;
[0025] The central processing unit uses the user and the time period during which the notification information is sent as common query objects, and queries the fourth database to obtain the user's work status during the current time period;
[0026] The central processing unit uses the working status of the user during the period of receiving notifications as the query object, and queries from the third database to obtain the user's reaction time for receiving other notification information in the time period when the notification module sends the notification information, and takes the median of the overall reaction time as the user's reaction time in the time period when the notification module sends the notification information.
[0027] Optionally, the user reaction time prediction module further includes:
[0028] The difference response time analysis module obtains the average difference time based on the actual response time of each user feedback and the predicted response time;
[0029] The central processing unit activates the difference reaction time analysis module to obtain the average difference time, adds it to the original predicted reaction time, and becomes the final confirmed reaction time.
[0030] Optionally, the prediction module includes:
[0031] The fifth database stores the time period information of the user's historical weekly scheduled meetings;
[0032] Query module, to check whether some or all of the user's next appointment time period is already booked;
[0033] The central processing unit queries and obtains the time period information of the user's historical weekly scheduled meetings from the fifth database, and analyzes and obtains the time period of the next scheduled meeting;
[0034] The central processing unit queries the user through the query module whether part or all of the next scheduled time period is already reserved;
[0035] If some reservations have been made, analyze whether the proportion of the overlapping time periods is less than the preset proportion;
[0036] If yes, remove the overlapping time periods from the analyzed time period of the next scheduled meeting, use the newly formed time period as the time period of the next scheduled meeting, and specifically notify the user of the time period of the next scheduled meeting;
[0037] If not, analyze and obtain the time period after the corresponding scheduled time period, and use the corresponding time period as the time period for the next scheduled meeting, and specifically notify the user of the time period for the next scheduled meeting;
[0038] If all are in the reserved state, analyze and obtain the time period after the corresponding reserved time period, and use the corresponding time period as the time period for the next scheduled meeting, and notify the user of the time period for the next scheduled meeting;
[0039] Otherwise, the time period of the next scheduled meeting obtained through analysis is used as the time period of the next scheduled meeting.
[0040] Optionally, the prediction module also includes:
[0041] User position acquisition module, used to obtain the user's position and the number of people influenced by the user;
[0042] The central processing unit obtains the user's current position and the number of people affected, as well as the previous position and the number of people affected, through the user position acquisition module;
[0043] The CPU analyzes and obtains the number of people affected by the user's current position and the ratio of the number of people affected by the previous position;
[0044] The central processing unit uses the ratio and the total duration of the user's previous meeting as the total duration of the user's next meeting, and updates the time period for the next scheduled meeting.
[0045] Optionally, the prediction module also includes:
[0046] The analysis module is used to obtain the leave and field work time status of the personnel affected by the user;
[0047] The central processing unit starts the analysis module, obtains the number of leave and outside staff that the user has taken during the time period of the next scheduled meeting, and subtracts the number of leave and outside staff that the user has taken during the time period of the next scheduled meeting from the number of people affected by the user's current position, and re-updates the number of people affected by the user's current position and the ratio of the previous position and the number of affected people.
[0048] In a second aspect, the present application provides an intelligent conference management method, which adopts the following technical solutions:
[0049] An intelligent conference management method, comprising:
[0050] Get the time period information of the user's historical scheduled meetings;
[0051] Based on the time period information of the user's historical appointment meetings, predict the time period information of the user's next appointment;
[0052] Notify users of the next appointment time slot so they can make an appointment in advance. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.
[0054] Figure 1 This is the system framework of the intelligent conference management system of the present application embodiment. Figure 1 .
[0055] Figure 2 This is the system framework of the intelligent conference management system of the present application embodiment. Figure 2 .
[0056] Figure 3It is a flow chart of the intelligent conference management method according to an embodiment of the present application.
[0057] In the figure, 1. First database; 2. Central processing unit; 3. Prediction module; 4. Notification module; 5. Second database; 6. Active reservation module; 7. Confirmation information receiving module; 8. User response time prediction module; 9. Third database; 10. Fourth database; 11. Difference response time analysis module; 12. Fifth database; 16. Query module; 17. User position acquisition module; 18. Analysis module. DETAILED DESCRIPTION
[0058] The present application is further described in detail below with reference to the accompanying drawings.
[0059] Reference Figure 1 , an intelligent conference management system disclosed in this application, including a first database 1 storing time period information of a user's historical scheduled meetings, a central processing unit 2 for data retrieval, calculation and analysis, a prediction module 3 for analyzing and predicting the user's next scheduled time period information based on the user's historical scheduled meetings, and a notification module 4 for sending notification information to the user of the next scheduled time period in preparation for advance reservation.
[0060] The central processor 2 uses the user as the query object, queries and obtains the time period information of the user's historical scheduled meetings from the first database 1, and uses the prediction module 3 to predict the user's next scheduled time period information, and notifies the user of the next scheduled time period through the notification module 4 in preparation for advance reservation.
[0061] Among them, the central processing unit 2 is CPU, and the Tongzhou module can notify the user by sending text messages, voice and other various ways to notify the user.
[0062] Further taking into account the user's reaction time to receiving information, in order to better confirm whether to make an appointment for the user's meeting time period, an intelligent conference management system also includes a second database 5 that stores the user's reaction time to notification information in different time periods, an active reservation module 6 for actively reserving the user's next meeting time period based on the user's next reservation time period information predicted by the prediction module 3, and a confirmation information receiving module 7 for receiving the user's feedback information.
[0063] The central processor 2 uses the time when the user and the notification module 4 send the notification information as the query object, and queries from the second database 5 to obtain the user's reaction time in the time period when the notification module 4 sends the notification information;
[0064] If no feedback information is received from the user via the confirmation information receiving module 7 within the response time obtained by query, the central processing unit 2 activates the active reservation module 6 to reserve the user's next meeting time slot.
[0065] Among them, the active reservation module 6 will log in to the reservation website, create a meeting, and then select the meeting time according to the predicted time. The meeting time includes the date and the specific time period.
[0066] Further considering the situation that the user's reaction time cannot be queried from the second database 5, an intelligent conference management system also includes a user reaction time prediction module 83 for predicting the user's reaction time in the time period when the notification module 4 sends the notification information.
[0067] If the central processor 2 cannot query and obtain the user's reaction time in the time period when the notification module 4 sends the notification information from the second database 5, the user reaction time prediction module 83 is started to predict the user's reaction time in the time period when the notification module 4 sends the notification information.
[0068] Taking into further consideration how to make a specific prediction of the user's reaction time, the user reaction time prediction module 83 also includes a third database 9 storing the user's reaction time to receiving other notification information in different time periods and different working states, and a fourth database 10 storing the working states planned by the user for different time periods.
[0069] The central processor 2 uses the user and the notification information sending time period as common query objects, and queries and obtains the user's work status in the current time period from the fourth database 10.
[0070] The central processor 2 uses the working status of the time period when the user receives the notification as the query object, and queries from the third database 9 to obtain the reaction time of the user receiving the remaining notification information in the time period when the notification module 4 sends the notification information, and takes the median of the overall reaction time as the reaction time of the user in the time period when the notification module 4 sends the notification information.
[0071] For example, assuming there are three reaction times, one is 50 seconds, one is 30 seconds, and another is 40 seconds, then the median of the selected overall reaction time is 40 seconds, that is, 40 seconds is the reaction time of the user in the time period when the notification module 4 sends the notification information.
[0072] To further improve the accuracy of user reaction time prediction, the user reaction time prediction module 83 also includes a difference reaction time analysis module 1811 for obtaining the average difference time based on the actual reaction time of each user feedback and the predicted reaction time.
[0073] The central processing unit 2 activates the difference reaction time analysis module 1811 to obtain the average difference time, and adds it to the original predicted reaction time to become the final confirmed reaction time.
[0074] For example, assuming that the average difference time is 5 seconds, then based on determining 40 seconds as the reaction time of the user in the time period when the notification module 4 sends the notification information, these 5 seconds will be added, that is, 45 seconds will be the final confirmation reaction time.
[0075] Reference Figure 2 , further considering how to predict the user's next appointment time period, the prediction module 3 includes a fifth database 12 that stores the time period information of the user's historical weekly appointment meetings, and a query module 16 that queries whether part or all of the user's next appointment time period is already reserved.
[0076] The CPU 2 queries and obtains the user's historical weekly scheduled meeting time period information from the fifth database 12, and analyzes and obtains the time period for the next scheduled meeting;
[0077] The central processor 2 queries the query module 16 to see whether part or all of the user's next scheduled time period is already reserved;
[0078] If some reservations have been made, analyze whether the proportion of the overlapping time periods is less than the preset proportion;
[0079] If yes, remove the overlapping time periods from the analyzed time period of the next scheduled meeting, use the newly formed time period as the time period of the next scheduled meeting, and specifically notify the user of the time period of the next scheduled meeting;
[0080] If not, analyze and obtain the time period after the corresponding scheduled time period, and use the corresponding time period as the time period for the next scheduled meeting, and specifically notify the user of the time period for the next scheduled meeting;
[0081] If all are in the reserved state, analyze and obtain the time period after the corresponding reserved time period, and use the corresponding time period as the time period for the next scheduled meeting, and notify the user of the time period for the next scheduled meeting;
[0082] Otherwise, the time period of the next scheduled meeting obtained through analysis is used as the time period of the next scheduled meeting.
[0083] It should be noted that the preset proportion can be 30%, 40%, or other proportions; in addition, the emphasis mentioned in notifying the user of the time period of the next scheduled meeting can be achieved by adjusting the color or thickness of the time period font to better attract the user's attention.
[0084] Taking into account that the user's duties may change before the next meeting, thereby affecting the participants, the prediction module 3 also includes a user position acquisition module 17 for acquiring the user's position and the number of people affected by the user.
[0085] The central processor 2 obtains the user's current position and the number of people affected, as well as the previous position and the number of people affected, through the user position acquisition module 17 .
[0086] The central processor 2 analyzes and obtains the number of people affected by the user's current position and the ratio of the previous position and the number of people affected.
[0087] The central processor 2 uses the ratio and the total duration of the user's previous meeting as the total duration of the user's next meeting, and updates the time period for the next scheduled meeting.
[0088] Taking into account the possibility that participants may take leave or go out on business during the next meeting, thus affecting the overall meeting time, the prediction module 3 also includes an analysis module 18 for obtaining the time status of the leave and out-of-business of the participants affected by the user.
[0089] The central processing unit 2 starts the analysis module 18, obtains the number of leave taken by the user and the number of out-of-town staff during the time period of the next scheduled meeting, and subtracts the number of leave taken by the user and the number of out-of-town staff during the time period of the next scheduled meeting from the number of people affected by the user's current position, and re-updates the number of people affected by the user's current position and the ratio of the previous position and the number of affected people.
[0090] Reference Figure 3 Based on the same concept, the present application also discloses an intelligent conference management method, including step S100, obtaining the time period information of the user's historical scheduled conferences.
[0091] Step S200: predict the time period of the user's next reservation based on the time period of the user's historical reservations.
[0092] Step S300, notifying the user of the next appointment time period so as to make an appointment in advance.
[0093] The embodiments of this specific implementation method are all preferred embodiments of the present application and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.
Claims
1. An intelligent conference management system, characterized in that: include: A first database (1) stores time period information of users' historical scheduled meetings; Central processing unit (2), used for data retrieval, calculation and analysis; Prediction module (3), used for analyzing and predicting the time period of the user's next reservation based on the time period information of the user's historical reservation meeting; Notification module (4), used for sending notification information to inform the user of the next appointment time slot in preparation for making an appointment in advance; The central processing unit (2) uses the user as a query object, queries and obtains the time period information of the user's historical scheduled meetings from the first database (1), and uses the prediction module (3) to predict the time period information of the user's next scheduled meeting, and notifies the user of the next scheduled meeting time period through the notification module (4) so that the user can make an appointment in advance; Also includes: The second database (5) stores the user's reaction time to the notification information at different time periods; An active reservation module (6) is used to proactively reserve the user's next meeting time period based on the user's next reservation time period information predicted by the prediction module (3); A confirmation information receiving module (7) is used to receive user feedback information; The central processing unit (2) uses the time when the user and the notification module (4) send the notification information as query objects, and queries and obtains the user's reaction time in the time period when the notification module (4) sends the notification information from the second database (5); If the feedback information sent by the user through the confirmation information receiving module (7) is not obtained within the query response time, the central processing unit (2) starts the active reservation module (6) to reserve the user's next meeting time period; Also includes: A user reaction time prediction module (8) is used to predict the user's reaction time in the time period when the notification module (4) sends the notification information; If the central processing unit (2) cannot query and obtain the user's reaction time in the time period when the notification module (4) sends the notification information from the second database (5), the user reaction time prediction module (8) is started to predict the user's reaction time in the time period when the notification module (4) sends the notification information; The user reaction time prediction module (8) further includes: The third database (9) stores the user's reaction time to receiving other notification information in different time periods and working states; The fourth database (10) stores the work status of different time periods planned by the user; The central processing unit (2) uses the user and the notification information sending time period as common query objects, and queries and obtains the user's work status in the current time period from the fourth database (10); The central processing unit (2) uses the working status of the time period when the user receives the notification as a query object, queries and obtains the reaction time of the user receiving the remaining notification information in the time period when the notification module (4) sends the notification information from the third database (9), and takes the median of the overall reaction time as the reaction time of the user in the time period when the notification module (4) sends the notification information.
2. An intelligent conference management system according to claim 1, characterized in that: The user reaction time prediction module (8) further includes: The difference reaction time analysis module (11) obtains the average difference time according to the actual reaction time of each user feedback and the predicted reaction time; The central processing unit (2) starts the difference reaction time analysis module (11) to obtain the average difference time, and adds it to the original predicted reaction time to become the final confirmed reaction time.
3. An intelligent conference management system according to claim 1, characterized in that: The prediction module (3) includes: The fifth database (12) stores the time period information of the user's weekly scheduled meetings; A query module (16) queries whether part or all of the user's next scheduled time period is already reserved; The central processing unit (2) queries and obtains the time period information of the user's historical weekly scheduled meetings from the fifth database (12), and analyzes and obtains the time period of the next scheduled meeting; The central processing unit (2) queries the user through the query module (16) whether part or all of the next scheduled time period is already reserved; If some reservations have been made, analyze whether the proportion of the overlapping time periods is less than the preset proportion; If yes, remove the overlapping time periods from the analyzed time period of the next scheduled meeting, use the newly formed time period as the time period of the next scheduled meeting, and specifically notify the user of the time period of the next scheduled meeting; If not, analyze and obtain the time period after the corresponding scheduled time period, and use the corresponding time period as the time period for the next scheduled meeting, and specifically notify the user of the time period for the next scheduled meeting; If all are in the reserved state, analyze and obtain the time period after the corresponding reserved time period, and use the corresponding time period as the time period for the next scheduled meeting, and notify the user of the time period for the next scheduled meeting; Otherwise, the time period of the next scheduled meeting obtained through analysis is used as the time period of the next scheduled meeting.
4. An intelligent conference management system according to claim 3, characterized in that: The prediction module (3) also includes: A user position acquisition module (17) is used to obtain the user's position and the number of people influenced by the user; The central processing unit (2) obtains the user's current position and the number of people affected, as well as the previous position and the number of people affected, through the user position acquisition module (17); The central processing unit (2) analyzes and obtains the number of people affected by the user's current position and the ratio of the number of people affected by the previous position; The central processing unit (2) uses the ratio and the total duration of the user's previous meeting as the total duration of the user's next meeting, and updates the time period of the next scheduled meeting.
5. An intelligent conference management system according to claim 4, characterized in that: The prediction module (3) also includes: Analysis module (18), used to obtain the leave and field time status of personnel affected by the user; The central processing unit (2) starts the analysis module (18), obtains the number of leave requested by the user and the number of outside staff during the time period of the next scheduled meeting, subtracts the number of leave requested by the user and the number of outside staff during the time period of the next scheduled meeting from the number of staff affected by the user's current position, and re-updates the ratio of the number of staff affected by the user's current position to the previous position and the number of staff affected.
6. An intelligent conference management method, characterized in that: The intelligent conference management system according to any one of claims 1 to 5 comprises: Get the time period information of the user's historical scheduled meetings; Based on the time period information of the user's historical appointment meetings, predict the time period information of the user's next appointment; Notify users of the next appointment time slot so they can make an appointment in advance.
Citation Information
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