CN110225294B - Automatic video conference scheduling system - Google Patents
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Abstract
The invention relates to a video conference scheduling technology, discloses an automatic video conference scheduling system, and solves the problems that scheduling is realized through manual operation in video conference scheduling schemes in the prior art, and the efficiency is low. The automatic video conference scheduling system of the invention comprises: the system comprises an event preprocessing subsystem, a video monitoring subsystem, a public opinion monitoring subsystem and a comprehensive judgment subsystem; the event preprocessing subsystem preprocesses the relevant information of the reported event; the video monitoring subsystem carries out real-time video monitoring on the objects involved in the reported events; the public opinion monitoring subsystem monitors the related public opinion information of the reported event in real time; and the comprehensive judgment subsystem carries out pre-grading on the event according to the preprocessing result of the reported event, acquires the information of the participants of the event with the corresponding grade from the basic database, automatically schedules the participants to access the video conference, and determines whether the grade of the event needs to be adjusted up according to the real-time video monitoring result and the real-time public opinion monitoring result.
Description
Technical Field
The invention relates to a video conference scheduling technology, in particular to an automatic video conference scheduling system.
Background
The video conference system is widely applied to city management such as city emergency command, comprehensive management and the like. Currently, the main video conference scheduling modes include: creating a temporary meeting schedule, creating a periodic meeting schedule, creating a meeting template one-click schedule, and the like. Creating the temporary meeting schedule refers to that a user manually sets meeting parameters in a video meeting management system, selects meeting members, then reserves a meeting, waits for the meeting to be held after the reservation is successful, and the meeting is held only once. The created periodic conference scheduling is similar to the created temporary conference scheduling, and after the periodic parameters are set, the video conference can be held for many times. Creating a conference template one-key scheduling means storing a temporary conference or a periodic conference as a template, and scheduling the conference after selecting the template. These scheduling methods are all manual operations, and the efficiency is low.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: an automatic video conference scheduling system is provided, and the problem that scheduling is realized through manual operation in video conference scheduling schemes in the prior art and efficiency is low is solved.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an automated video conference scheduling system comprising: the system comprises an event preprocessing subsystem, a video monitoring subsystem, a public opinion monitoring subsystem and a comprehensive judgment subsystem;
the event preprocessing subsystem is used for preprocessing the related information of the reported event when the reported event is received, transmitting the preprocessing result to the comprehensive judgment subsystem and informing the video monitoring subsystem and the public opinion monitoring subsystem to respectively acquire real-time information;
the video monitoring subsystem is used for carrying out real-time video monitoring on the objects involved in the reported events, and transmitting the real-time video monitoring result to the comprehensive judgment subsystem;
the public opinion monitoring subsystem is used for monitoring relevant public opinion information about reported events from the Internet in real time, and transmitting a real-time public opinion monitoring result to the comprehensive judgment subsystem;
the comprehensive judgment subsystem is used for pre-grading the event according to the preprocessing result of the reported event uploaded by the event preprocessing subsystem, acquiring the information of the participants of the event with the corresponding grade from the basic database, automatically scheduling the participants to access the video conference, and determining whether the grade of the event pre-grading needs to be adjusted according to the real-time video monitoring result uploaded by the video monitoring subsystem and the real-time public opinion monitoring result uploaded by the public opinion monitoring subsystem.
As a further optimization, the relevant information of the reported event specifically includes: associated event rating, event description, voice information, image information, and location information;
the preprocessing of the correlated event level comprises:
converting the event grade information into grade numbers, and recording the preprocessing result as x1；
The preprocessing of the event description comprises:
natural language processing is carried out on the event description information to obtain keywords, and the preprocessing result is recorded as x2；
The preprocessing of the voice information comprises:
passing languageThe voice recognition technology converts voice information into text information, keywords are obtained through NPL, meanwhile, the emotion change of a time reporter is obtained through the voice recognition technology, and a preprocessing result is recorded as x3；
The pre-processing of the image information comprises:
identifying important event information in the image through an image semantic identification technology, and recording a preprocessing result as x4；
The preprocessing of the location information comprises:
correlating the position information of the event with the region grade division to determine the grade of the region corresponding to the event occurrence position, and recording the preprocessing result as x5；
The preprocessing result x of the relevant information of the reported event is described by adopting a formula 1:
x＝(x1,x2,x3,x4,x5)T(formula 1).
According to the scheme, all information in the reported event is preprocessed and integrated into a final preprocessing result, the preprocessing result is sent to the comprehensive judgment subsystem, and meanwhile, the event preprocessing subsystem respectively issues instructions for acquiring relevant real-time information to the video monitoring subsystem and the public opinion monitoring subsystem according to the preprocessing result. Therefore, real-time related information can be immediately obtained according to the information content contained in the reported event, the subsequent immediate comprehensive analysis and judgment are facilitated, and the processing efficiency is improved.
As a further optimization, the comprehensive decision subsystem pre-ranks events, including:
pre-judging the grade of the event by adopting a certain algorithm according to the pre-processing result of the reported event provided by the event pre-processing subsystem; events are classified into general events omega according to their influence1Common event omega2Major event omega3And a grand event ω4Describing the level omega of the reported event by adopting an equation 2
ω＝(ω1,ω2,ω3,ω4)T(formula 2).
In the scheme, the grade pre-judgment is carried out through the pre-processing result of the event provided by the event pre-processing subsystem, so that the responsible person to be scheduled of the event can be conveniently obtained as soon as possible to carry out the video conference, and the scheduling efficiency is improved.
As a further optimization, the comprehensive judgment subsystem determines whether the pre-classified level of the event needs to be adjusted up according to the real-time video monitoring result uploaded by the video monitoring subsystem and the real-time public opinion monitoring result uploaded by the public opinion monitoring subsystem, and specifically includes:
the comprehensive judgment subsystem processes the information from the video monitoring subsystem and the public opinion collecting subsystem in real time on the basis of the pre-grading result to judge whether the grade of the event needs to be automatically upgraded or not, and the real-time grade analysis x of the eventrDescribed using equation 3:
xr＝(x,ur,vr)T(formula 3)
Wherein u isrReal-time public sentiment monitoring result v representing public sentiment collection subsystemrAnd representing the real-time video monitoring result of the video monitoring subsystem.
In the scheme, the grade of the event is monitored through the real-time video monitoring result uploaded by the video monitoring subsystem and the real-time public opinion monitoring result uploaded by the public opinion monitoring subsystem, and whether the grade of the event needs to be adjusted upwards or not is judged according to the comprehensive condition, so that responsible persons corresponding to the grade can be conveniently and timely dispatched to participate in the video conference, and the emergency event can be timely handled.
As a further optimization, the comprehensive decision subsystem is further configured to, after determining that the level of the event pre-rating needs to be adjusted up, obtain participant information of a relevant level that needs to be increased from the basic database according to the event level after the adjustment up, and automatically schedule participants to access the video conference.
According to the scheme, when the event level changes, the information of the participants at the new level is acquired according to the up-regulated event level, so that the new participants are automatically dispatched to join the video conference, and the emergency event can be timely disposed.
The invention has the beneficial effects that:
the automatic video conference scheduling system can perform event grade pre-classification after preprocessing the reported event, so as to schedule related responsible persons to join the video conference in time, simultaneously acquire public opinion information and video monitoring information of the event in real time, comprehensively decide whether the event grade needs to be adjusted upwards, and acquire participant information of a new grade according to the adjusted event grade if the event grade needs to be adjusted upwards, thereby automatically scheduling new participants to join the video conference; therefore, the invention can automatically create a conference and automatically pull the responsible personnel related to the event into the video conference without human participation; the system provides a new choice for video conference scheduling, saves precious time for processing emergency events, and improves event handling efficiency.
Drawings
Fig. 1 is a functional block diagram of an automated video conference scheduling system in an embodiment.
Detailed Description
The invention aims to provide an automatic video conference scheduling system, which solves the problems that the scheduling is realized through manual operation in video conference scheduling schemes in the prior art, and the efficiency is low. The core idea is as follows: and preprocessing the reported event and then performing event grade pre-classification, thereby scheduling related responsible persons to join the video conference in time, simultaneously acquiring public opinion information and video monitoring information of the event in real time, comprehensively deciding whether the event grade needs to be adjusted upwards, and if so, acquiring participant information of a new grade according to the adjusted event grade, thereby automatically scheduling new participants to join the video conference.
In the comprehensive treatment field of smart cities, generally, event grades are divided into: generally, the person responsible for event processing is divided into the following levels: district level, prefecture level, province level, and central level. The relationship between the event level and the responsible person is shown in table 1.
Table 1: relationship table between event and person in charge
The automatic video conference scheduling system provided by the invention carries out grading processing on the reported event, automatically schedules the responsible person of the relevant grade to carry out the video conference, and carries out consultation and proper solution on the event.
Example (b):
the design principle of the automatic video conference scheduling system in this embodiment is shown in fig. 1, and includes: the system comprises an event preprocessing subsystem, a video monitoring subsystem, a public opinion monitoring subsystem and a comprehensive judgment subsystem; the following details each subsystem:
(1) the event preprocessing subsystem is mainly responsible for preprocessing the event grade, the event description, the voice information, the image information, the position information and the like related to the reported event. The event level preprocessing is to convert the event level information into numbers, which are marked as x1. The event description preprocessing is to perform natural language processing (NPL) on the event description information to obtain a keyword, which is marked as x2. The voice information preprocessing is to convert the voice information into text information by a voice recognition technology, obtain keywords by NPL (neutral network language), and obtain the emotional change of a time reporter by the voice recognition technology and record the emotional change as x3. The image information preprocessing is to identify important event information in the image, such as fire, flood, traffic accident, fighting, crowd gathering and the like, recorded as x, by using an image semantic identification technology4. The location information preprocessing is to associate the location information of the event with the area division, and the general area is divided into a general area, an important area and the like, which are marked as x5。
Thus, the preprocessing of the reporting event can be described by equation 1, where x is a feature vector of a multidimensional space.
x＝(x1,x2,x3,x4,x5)T(formula 1)
(2) The video monitoring subsystem is mainly responsible for dangerous person identification, vehicle identification, crowd gathering, fire identification, natural disaster identification and the like, and provides real-time video monitoring information for the comprehensive judgment subsystem.
(3) The public opinion monitoring subsystem mainly collects information about public opinion attention degree, public opinion guidance, event properties and the like of the event from the Internet and provides real-time public opinion information for the comprehensive judgment subsystem.
(4) The comprehensive judgment subsystem has the main functions of: event pre-rating, real-time analysis, meeting scheduling, etc. The event pre-grading is to classify the information provided by the event pre-processing subsystem into general events omega by a certain algorithm1Common event omega2Major event omega3Event omega4That is, this is a four-kind problem.
ω＝(ω1,ω2,ω3,ω4)T(formula 2)
The real-time event analysis is to process the information from the video monitoring subsystem and the public opinion collecting subsystem in real time on the basis of the pre-grading result to judge whether the grade of the event needs to be automatically upgraded, and can be described by equation (3).
xr＝(x,ur,vr)T(formula 3)
xrRepresenting the result of the real-time analysis of the event classes, urReal-time public sentiment monitoring result v representing public sentiment collection subsystemrAnd representing the real-time video monitoring result of the video monitoring subsystem.
The conference scheduling is to acquire information of the persons responsible for the conference from the basic data system and schedule the video conference terminals of the persons responsible for the conference to automatically join the video conference.
The work flow of the automatic video conference scheduling system is described as follows:
1. event reporting is carried out by gridders, crowds and the like through various channels;
2. the event preprocessing subsystem preprocesses the reported event and inputs the result into the comprehensive judgment subsystem;
3. the event preprocessing subsystem sends an instruction for collecting the relevant information of the event to public sentiment collecting and video monitoring subsystems;
4. the comprehensive judgment subsystem immediately pre-grades the event and acquires corresponding participant information from a basic database according to a grading result;
5. the comprehensive judgment subsystem calls an API (application program interface) provided by the video conference system to call a related conference place;
6. each related responsible person accesses the video conference system and analyzes, discusses and processes the event;
7. during the video conference, the comprehensive judgment subsystem analyzes the information collected by the public opinion collection subsystem and the video monitoring subsystem in real time, and when the event level changes, the system schedules the related responsible persons in one or more levels to carry out the video conference according to the event level.
In conclusion, the invention can automatically create a conference and automatically pull the responsible personnel related to the event into the video conference without human participation; the system provides a new choice for video conference scheduling, saves precious time for processing emergency events, and improves event handling efficiency.
Claims (5)
1. An automated video conference scheduling system, comprising: the system comprises an event preprocessing subsystem, a video monitoring subsystem, a public opinion monitoring subsystem and a comprehensive judgment subsystem;
the event preprocessing subsystem is used for preprocessing the related information of the reported event when the reported event is received, transmitting the preprocessing result to the comprehensive judgment subsystem and informing the video monitoring subsystem and the public opinion monitoring subsystem to respectively acquire real-time information;
the video monitoring subsystem is used for carrying out real-time video monitoring on the objects involved in the reported events, and transmitting the real-time video monitoring result to the comprehensive judgment subsystem;
the public opinion monitoring subsystem is used for monitoring relevant public opinion information about reported events from the Internet in real time, and transmitting a real-time public opinion monitoring result to the comprehensive judgment subsystem;
the comprehensive judgment subsystem is used for pre-grading the event according to the preprocessing result of the reported event uploaded by the event preprocessing subsystem, acquiring the information of the participants of the event with the corresponding grade from the basic database, automatically scheduling the participants to access the video conference, and determining whether the grade of the event pre-grading needs to be adjusted according to the real-time video monitoring result uploaded by the video monitoring subsystem and the real-time public opinion monitoring result uploaded by the public opinion monitoring subsystem.
2. The automated video conference scheduling system of claim 1,
the information related to the reported event specifically includes: associated event rating, event description, voice information, image information, and location information;
the preprocessing of the correlated event level comprises:
converting the event grade information into grade numbers, and recording the preprocessing result as x1；
The preprocessing of the event description comprises:
natural language processing is carried out on the event description information to obtain keywords, and the preprocessing result is recorded as x2；
The preprocessing of the voice information comprises:
converting voice information into text information by a voice recognition technology, obtaining key words by natural language processing, obtaining emotional changes of a time reporter by the voice recognition technology, and recording a preprocessing result as x3；
The pre-processing of the image information comprises:
identifying important event information in the image through an image semantic identification technology, and recording a preprocessing result as x4；
The preprocessing of the location information comprises:
correlating the position information of the event with the region grade division to determine the grade of the region corresponding to the event occurrence position, and recording the preprocessing result as x5；
The preprocessing result x of the relevant information of the reported event is described by adopting a formula 1:
x＝(x1,x2,x3,x4,x5)T(formula 1).
3. The automated video conference scheduling system of claim 1,
the comprehensive decision subsystem pre-ranks events, including:
pre-judging the grade of the event by adopting a certain algorithm according to the pre-processing result of the reported event provided by the event pre-processing subsystem; events are classified into general events omega according to their influence1Common event omega2Major event omega3And a grand event ω4Describing the level omega of the reported event by adopting an equation 2
ω＝(ω1,ω2,ω3,ω4)T(formula 2).
4. The automated video conference scheduling system of claim 1,
the comprehensive judgment subsystem determines whether the pre-classified level of the event needs to be adjusted according to the real-time video monitoring result uploaded by the video monitoring subsystem and the real-time public opinion monitoring result uploaded by the public opinion monitoring subsystem, and specifically comprises the following steps:
the comprehensive judgment subsystem processes the information from the video monitoring subsystem and the public opinion collecting subsystem in real time on the basis of the pre-grading result to judge whether the grade of the event needs to be automatically upgraded or not, and the real-time grade analysis x of the eventrDescribed using equation 3:
xr＝(x,ur,vr)T(formula 3)
Wherein u isrReal-time public sentiment monitoring result v representing public sentiment collection subsystemrAnd representing the real-time video monitoring result of the video monitoring subsystem.
5. The automated video conference scheduling system of claim 4,
and the comprehensive judgment subsystem is also used for acquiring the participant information of the related grade needing to be increased from the basic database according to the event grade after the up-regulation after the grade of the event pre-grading is determined to be up-regulated, and automatically scheduling the participants to access the video conference.
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