CN116760653B - Intelligent operation and maintenance method and system for remote video conference - Google Patents
Intelligent operation and maintenance method and system for remote video conference Download PDFInfo
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- 238000012423 maintenance Methods 0.000 title claims abstract description 34
- 238000012360 testing method Methods 0.000 claims abstract description 51
- 238000012545 processing Methods 0.000 claims abstract description 42
- 230000036541 health Effects 0.000 claims abstract description 10
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
- H04L12/1818—Conference organisation arrangements, e.g. handling schedules, setting up parameters needed by nodes to attend a conference, booking network resources, notifying involved parties
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
- H04L12/1827—Network arrangements for conference optimisation or adaptation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/15—Conference systems
Abstract
The application discloses an intelligent operation and maintenance method and system for a remote video conference, which are applied to the technical field of data processing, wherein the method comprises the following steps: by receiving client meeting request information. And sending the conference theme information to the client to acquire first feedback information. And performing equipment matching according to the material attribute information to obtain material association equipment. And generating a device self-checking request of the first preset time zone, sending the device self-checking request to the client, and acquiring second feedback information. And carrying out conference scene analysis according to the material data information, and generating self-checking test parameters. When the second feedback information comprises the self-checking agreeing signal, self-checking the group material association equipment in a first preset time zone according to the self-checking test parameters, and obtaining self-checking result information. And when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client. The technical problems of low automation degree and high labor cost of remote video conference operation and maintenance in the prior art are solved.
Description
Technical Field
The application relates to the field of data processing, in particular to an intelligent operation and maintenance method and system for a remote video conference.
Background
The remote conference is to realize the goal of holding the conference across the region by using a real-time communication means, and the remote conference system mainly comprises the telephone conference, the network conference and the video conference. In the prior art, the remote video conference is carried out by manually checking the applicability of various conference devices and preparing materials, so that the conference operation and maintenance is low in automation degree and high in labor cost.
Therefore, the remote video conference in the prior art has the technical problems of low automation degree and high labor cost.
Disclosure of Invention
The application provides an intelligent operation and maintenance method and system for a remote video conference, which solve the technical problems of lower automation degree and higher labor cost of the operation and maintenance of the remote video conference in the prior art.
The application provides an intelligent operation and maintenance method for a remote video conference, which is applied to a video conference management end and comprises the following steps: receiving client conference request information, wherein the client conference request information comprises conference node number information, conference theme information and conference time information; the conference subject information is sent to N clients of the reference node numbering information, N groups of first feedback information are obtained, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer; performing equipment matching according to the N groups of material attribute information to obtain N groups of material association equipment; generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients, and acquiring N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time length; meeting scene analysis is carried out according to the N groups of material data information, and self-checking test parameters are generated; when the N groups of second feedback information comprise self-checking agreeing signals, carrying out self-checking on the N groups of material association equipment in the first preset time zone according to the self-checking test parameters, and obtaining self-checking result information; and when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client.
The application also provides a remote video conference intelligent operation and maintenance system, which comprises: the conference request information receiving module is used for receiving client conference request information, wherein the client conference request information comprises conference node number information, conference theme information and conference time information; the first feedback information acquisition module is used for transmitting the conference subject information to N clients of the reference node numbering information to acquire N groups of first feedback information, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer; the associated equipment matching module is used for carrying out equipment matching according to the N groups of material attribute information to obtain N groups of material associated equipment; the self-checking request generation module is used for generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients and obtaining N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time interval; the self-checking test parameter acquisition module is used for carrying out conference scene analysis according to the N groups of material data information to generate self-checking test parameters; the self-checking result acquisition module is used for carrying out self-checking on the N groups of material association equipment in the first preset time zone according to the self-checking test parameters when the N groups of second feedback information comprise self-checking agreeing signals, so as to acquire self-checking result information; and the conference identification module is used for sending the health conference identification information to the conference request client when the self-checking result information is a pass signal.
The application also provides an electronic device, comprising:
a memory for storing executable instructions;
and the processor is used for realizing the intelligent operation and maintenance method for the remote video conference when executing the executable instructions stored in the memory.
The application discloses an intelligent operation and maintenance method and system for a remote video conference, which are provided by the application, by receiving conference request information of a client. And sending the conference theme information to the client to acquire first feedback information. And performing equipment matching according to the material attribute information to obtain material association equipment. And generating a device self-checking request of the first preset time zone, sending the device self-checking request to the client, and acquiring second feedback information. And carrying out conference scene analysis according to the material data information, and generating self-checking test parameters. When the second feedback information comprises the self-checking agreeing signal, self-checking the group material association equipment in a first preset time zone according to the self-checking test parameters, and obtaining self-checking result information. And when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client. The self-checking method and the device for the conference client-side conference equipment of each conference before the conference are realized, the labor cost of the conference operation and maintenance is greatly reduced, and the automation degree of the conference operation and maintenance process is improved. The technical problems of low automation degree and high labor cost of remote video conference operation and maintenance in the prior art are solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly described below. It is apparent that the figures in the following description relate only to some embodiments of the present disclosure and are not limiting of the present disclosure.
Fig. 1 is a schematic flow chart of a remote video conference intelligent operation and maintenance method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a remote video conference intelligent operation and maintenance method for acquiring first feedback information according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a remote video conference intelligent operation and maintenance method for obtaining self-checking test parameters according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a system of a remote video conference intelligent operation and maintenance method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a system electronic device of a remote video conference intelligent operation and maintenance method according to an embodiment of the present application.
Reference numerals illustrate: the system comprises a conference request information receiving module 11, a first feedback information obtaining module 12, an associated equipment matching module 13, a self-checking request generating module 14, a self-checking test parameter obtaining module 15, a self-checking result obtaining module 16, a conference identification module 17, a processor 31, a memory 32, an input device 33 and an output device 34.
Detailed Description
Example 1
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
In the following description, the terms "first", "second", "third" and the like are merely used to distinguish similar objects and do not represent a particular ordering of the objects, it being understood that the "first", "second", "third" may be interchanged with a particular order or sequence, as permitted, to enable embodiments of the application described herein to be practiced otherwise than as illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only.
While the present application makes various references to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on a user terminal and/or server, the modules are merely illustrative, and different aspects of the system and method may use different modules.
A flowchart is used in the present application to describe the operations performed by a system according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Also, other operations may be added to or removed from these processes.
As shown in fig. 1, an embodiment of the present application provides an intelligent operation and maintenance method for a remote video conference, which is applied to a video conference management end, and includes:
s10: receiving client conference request information, wherein the client conference request information comprises conference node number information, conference theme information and conference time information;
s20: the conference subject information is sent to N clients of the reference node numbering information, N groups of first feedback information are obtained, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer;
s30: performing equipment matching according to the N groups of material attribute information to obtain N groups of material association equipment;
specifically, conference request information of a client is received, wherein the conference request information of the client comprises conference node number information, conference theme information and conference time information. Wherein the reference node number is the unique identification number of the participating person or the participating individual such as company, partner, etc. And sending the conference subject information to N clients of the reference node numbering information to obtain N groups of first feedback information, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer. The N sets of material attribute information include materials and/or material attributes of all online and offline references, such as pictures, texts, display props, and the like. The N groups of material data information are specific data on line, such as specific contents of a document, specific contents of a picture and the like. And then, performing equipment matching according to the N groups of material attribute information to obtain N groups of material association equipment. That is, the image attribute is taken as an example by using the obtained equipment corresponding to the matching of the material attribute, and the corresponding matching equipment is a display equipment, an image processing equipment and the like.
As shown in fig. 2, the method S20 provided by the embodiment of the present application further includes:
s21: the online material attribute information is sent to the N clients of the reference node numbering information for selection, N groups of online material attribute information are obtained, and an uploading accessory obtains N groups of online material data information;
s22: transmitting the offline material attribute information to the N clients of the reference node numbering information for selection, acquiring N groups of offline material attribute information, and uploading accessories to acquire N groups of offline material data information;
s23: the on-line material attribute information at least comprises one or more of a picture attribute, a video attribute, a document attribute and an audio attribute, and the off-line material attribute information at least comprises one or more of a display prop, a recording prop, an audio-visual prop and an agent prop.
Specifically, the online material attribute information is sent to the N clients with the reference node number information for selection, and as the corresponding conference data needs to be uploaded by each client before the conference starts, the corresponding online material attribute information is selected by each client, N groups of online material attribute information are obtained, and N groups of online material data information are obtained by uploading accessories, wherein the online material data information is the specific content of the conference data uploaded by the clients. And sending the offline material attribute information to the N clients of the reference node numbering information for selection, selecting corresponding offline materials by each client, acquiring N groups of offline material attribute information, and uploading accessories to acquire N groups of offline material data information, wherein the N groups of offline material data information are specific numbers of the offline materials, such as the number of display props, the number of record props, the number of audio-visual props, the number of seat props and the like. The on-line material attribute information at least comprises one or more of a picture attribute, a video attribute, a document attribute and an audio attribute, and the off-line material attribute information at least comprises one or more of a display prop, a recording prop, an audio-visual prop and an agent prop.
The method S30 provided by the embodiment of the application further comprises the following steps:
s31: collecting meeting logs of the j-th material attribute information of the i-th material attribute information of the N groups of material attribute information to obtain meeting record data;
s32: frequent pattern mining is conducted on the meeting record data based on the j-th material attribute information, and related equipment functions are obtained;
s33: and setting the function of the associated equipment as the material associated equipment of the j-th material attribute information, and adding the material associated equipment into the i-th material associated equipment of the N groups of material associated equipment.
Specifically, meeting log collection is carried out on the j-th material attribute information of the i-th material attribute information of the N groups of material attribute information, meeting record data are obtained, historical meeting use logs corresponding to the material attribute information are collected, and accordingly meeting record data corresponding to the material attribute are obtained. The ith material attribute information is one group of material attribute information in the N groups of material attribute information, and the jth material attribute information is the jth material attribute information in the ith group of material attribute information. And then, carrying out frequent pattern mining on the meeting record data based on the j-th material attribute information to acquire the associated equipment function. Namely, the corresponding mode of the frequent equipment corresponding to the material attribute information, such as the equipment frequent mode corresponding to the image, is a display mode, and then the associated equipment function corresponding to the material attribute information is obtained. And finally, setting the function of the associated equipment as the material associated equipment of the j-th material attribute information, and adding the material associated equipment into the i-th material associated equipment of the N groups of material associated equipment.
The method S30 provided by the embodiment of the application further comprises the following steps:
s34: setting a support degree threshold, wherein the support degree threshold represents a common record frequency preset value of equipment and the j-th material attribute information;
s35: acquiring equipment support according to the conference record data, wherein the equipment support represents common record frequency of equipment and the j-th material attribute information;
s36: when the equipment support degree is greater than or equal to the support degree threshold value, adding the equipment support degree into an associated equipment set;
s37: and carrying out function analysis on the associated equipment set to acquire the associated equipment function.
Specifically, a support degree threshold is set, wherein the support degree threshold represents a common record frequency preset value of equipment and the j-th material attribute information. And acquiring equipment support according to the conference record data, wherein the equipment support represents the common record frequency of equipment and the j-th material attribute information. That is, the support degree is the ratio of the frequency of occurrence of the jth material attribute information to the frequency of occurrence of the jth material attribute information when the jth material attribute information exists in the device. And adding the device support degree into an associated device set when the device support degree is greater than or equal to the support degree threshold value. Finally, the function analysis is carried out on the associated device set, the functions of the use of different devices, such as the audio presentation function, the display function, the printing function and the like, are determined, and the associated device functions are acquired.
S40: generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients, and acquiring N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time length;
s50: meeting scene analysis is carried out according to the N groups of material data information, and self-checking test parameters are generated;
s60: when the N groups of second feedback information comprise self-checking agreeing signals, carrying out self-checking on the N groups of material association equipment in the first preset time zone according to the self-checking test parameters, and obtaining self-checking result information;
s70: and when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client.
Specifically, a device self-checking request for generating a first preset time zone is sent to the N clients, and N groups of second feedback information are obtained, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time interval apart from the initial time of the conference time information, the first preset time zone is a preset time interval before the conference starts, the distance between the first preset time zone and the conference starts is a preset time interval, and if a large conference is longer, the distance between the first preset time zone and the conference starts is shorter. And carrying out conference scene analysis according to the N groups of material data information, analyzing and obtaining equipment requirement data corresponding to the material data information, taking picture display as an example, generating the minimum display resolution of equipment according to the recording resolution of the picture data, obtaining equipment requirements of other material data information, and generating self-checking test parameters. When the N groups of second feedback information comprise self-checking agreeing signals, namely when the feedback information of each reference client agrees to self-check, the N groups of material related devices are subjected to self-check in the first preset time zone according to the self-check test parameters, and the actual parameters of each device are compared by utilizing the self-check test parameters. And acquiring self-checking result information of each device to obtain a comparison result of whether the respective checking test parameters and the actual parameters of the device are met. And when the self-checking result information is a passing signal, namely the third feedback information of all the devices meets the respective detection test parameters, sending the health conference identification information to the conference request client. The self-checking method and the device for the conference client-side conference equipment of each conference before the conference are realized, the labor cost of the conference operation and maintenance is greatly reduced, and the automation degree of the conference operation and maintenance process is improved.
As shown in fig. 3, the method S50 provided by the embodiment of the present application further includes:
s51: obtaining a self-checking test index, wherein the self-checking test index comprises a processing data amount, an audio performance index and a display resolution index;
s52: the audio performance indexes are sent to the N clients to obtain N groups of third feedback information, wherein the N groups of third feedback information comprise N groups of audio performance thresholds;
s53: based on the N groups of material data information, carrying out conference scene analysis on the processed data quantity and the display resolution index to obtain N groups of processed data quantity thresholds and N groups of display resolution thresholds;
s54: and adding the N groups of audio performance thresholds, the N groups of processing data volume thresholds and the N groups of display resolution thresholds into the self-checking test parameters.
Specifically, a self-checking test index is obtained according to the material data information, wherein the self-checking test index comprises a processing data amount, an audio performance index and a display resolution index. And then, sending the acquired audio performance indexes to the N clients, wherein the audio performance indexes comprise specific volume and other items, and acquiring N groups of third feedback information, wherein the N groups of third feedback information comprise N groups of audio performance thresholds, namely performance thresholds of expected audio playing equipment of conference users, such as volume playing thresholds and the like, and the audio performance thresholds are uploaded by client personnel. And then, based on the N groups of material data information, carrying out conference scene analysis on the processing data quantity and the display resolution index, obtaining a processing data quantity threshold required by a participating client in unit time, and obtaining N groups of processing data quantity thresholds and N groups of display resolution thresholds. And finally, adding the acquired N groups of audio performance thresholds, the N groups of processing data volume thresholds and the N groups of display resolution thresholds into the self-checking test parameters.
The method S50 provided by the embodiment of the application further comprises the following steps:
s55: the N groups of first feedback information further comprise N groups of material data presentation time sequence information;
s56: acquiring the ith group of material data information of the N groups of material data information, acquiring the ith group of material data presentation time sequence information of the N groups of material data presentation time sequence information, inputting a conference scene analysis model, outputting the ith group of processing data quantity threshold and the ith group of display resolution threshold, and adding the ith group of processing data quantity threshold and the N groups of display resolution threshold;
s57: the conference scene analysis model comprises a processing data quantity statistical channel and a display resolution statistical channel, wherein the processing data quantity statistical channel and the display resolution statistical channel are mutually independent parallel processing nodes.
Specifically, the N groups of first feedback information further include presentation time sequence information of N groups of material data, that is, the first feedback information further includes presentation time sequence information of each material data in the conference process. And then, when the N groups of processing data quantity thresholds and the N groups of display resolution thresholds are acquired, inputting a meeting scene analysis model by acquiring the ith group of material data information of the N groups of material data information and acquiring the ith group of material data presentation time sequence information of the N groups of material data presentation time sequence information. And carrying out model analysis on the material data information and the material data presentation time sequence information by using a conference scene analysis model, outputting an ith group of processing data quantity threshold and an ith group of display resolution threshold, and adding the ith group of processing data quantity threshold and the ith group of display resolution threshold into the N groups of processing data quantity threshold and the N groups of display resolution threshold. The conference scene analysis model comprises a processing data quantity statistical channel and a display resolution statistical channel, wherein the processing data quantity statistical channel and the display resolution statistical channel are mutually independent parallel processing nodes.
The processing data volume statistical channel obtains the maximum data transmission rate volume of a unit moment, such as the maximum data transmission volume of each second, by calculating the data volume transmission and the transmission time in the conference process, and takes the maximum data transmission rate volume of the unit moment as the processing data volume threshold. The construction of the display resolution statistic channel uses a plurality of different image pixel sizes and the corresponding resolution which can clearly display the maximum amplified image after the identification is carried out manually as training data, and the neural network model is supervised and trained until the output result of the model meets the preset accuracy, and the trained display resolution statistic channel is obtained. And obtaining the lowest display resolution of the display device, namely the resolution of the maximum amplified image, according to different image pixel sizes through the display resolution statistic channel to obtain a display resolution threshold. And finally, adding the acquired processing data quantity threshold and the display resolution threshold into the N groups of processing data quantity threshold and the N groups of display resolution threshold.
The method S60 provided by the embodiment of the application further comprises the following steps:
s61: judging whether the N clients have the N groups of material association equipment or not;
s62: if yes, carrying out self-checking on the N groups of material association equipment according to the self-checking test parameters;
s63: and when all the N groups of material association equipment are qualified in self-inspection, generating a passing signal, and adding the passing signal into the self-inspection result information.
Specifically, whether N clients have the N groups of material association devices or not is judged, namely whether each client has a device corresponding to a material or not is judged. And if the self-checking parameters exist, carrying out self-checking on the N groups of material association equipment according to the self-checking parameters. If the device is not available, no corresponding device exists, and reminding information is generated for reminding the client of device supplementation. And when all the N groups of material association equipment are qualified in self-inspection, generating a passing signal, and adding the passing signal into the self-inspection result information. And when the material association equipment has unqualified equipment, informing the corresponding client to replace or debug the equipment.
Further, the method provided by the embodiment of the present application further includes step S70, where step S70 includes the steps of:
s71: collecting the distribution states of the audio equipment of N clients through an image collecting device;
s72: acquiring equipment spacing information based on the distribution state of the audio equipment;
s73: acquiring a first audio device and a second audio device, of which the device spacing information is smaller than or equal to a device spacing threshold value, and identifying audio enhancement information;
and when the remote video conference is carried out and the first audio device and the second audio device are started at the same time, audio data of the first audio device and the second audio device with the audio enhancement information are subjected to audio quality enhancement playing.
Specifically, when all the N groups of material association devices are self-inspected to be qualified, the preset condition of audio quality enhancement is set in consideration of the fact that the tone quality states in the conference may be seriously affected among different audio devices, namely, the distribution position data of the audio devices of each client side are determined, and the distribution position data are stored as the audio device distribution states. Physical distance information between each audio device can be determined by the audio device distribution status and stored as device distance information. The method comprises the steps of enabling a user to define a device spacing threshold which can affect audio quality, counting all two devices with device spacing information smaller than or equal to the device spacing threshold, storing the two devices as a first audio device and a second audio device, identifying audio enhancement information, and representing that when the first audio device and the second audio device are started in a conference at the same time, audio quality enhancement is carried out on audio data of the first audio device and the second audio device and then playing the audio data. Exemplary are as follows: the audio quality enhancement may be performed by using conventional means already well-established, such as noise reduction processing based on a neural network, and will not be described in detail herein. The availability of audio quality is ensured and the operation and maintenance efficiency of the remote video conference is improved by the key supervision of the audio equipment in the conference.
According to the technical scheme provided by the embodiment of the application, the meeting theme information is sent to N clients participating in node numbering information by receiving the client meeting request information, and N groups of first feedback information are obtained, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer. And performing equipment matching according to the N groups of material attribute information to obtain N groups of material association equipment. And generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients, and acquiring N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time length away from the initial time of the conference time information. And carrying out conference scene analysis according to the N groups of material data information, and generating self-checking test parameters. When the N groups of second feedback information comprise self-checking agreeing signals, self-checking the N groups of material association equipment in the first preset time zone according to the self-checking test parameters, and obtaining self-checking result information. And when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client. The self-checking method and the device for the conference client-side conference equipment of each conference before the conference are realized, the labor cost of the conference operation and maintenance is greatly reduced, and the automation degree of the conference operation and maintenance process is improved. The technical problems of low automation degree and high labor cost of remote video conference operation and maintenance in the prior art are solved.
Example two
Based on the same inventive concept as the intelligent operation and maintenance method of the remote video conference in the foregoing embodiments, the present application also provides a system of the intelligent operation and maintenance method of the remote video conference, which can be implemented by hardware and/or software, and can be generally integrated in an electronic device, for executing the method provided by any embodiment of the present application. As shown in fig. 4, the system includes:
a meeting request information receiving module 11, configured to receive client meeting request information, where the client meeting request information includes meeting node number information, meeting topic information, and meeting time information;
the first feedback information obtaining module 12 is configured to send the conference subject information to N clients of the reference node numbering information, and obtain N groups of first feedback information, where N groups of first feedback information includes N groups of material attribute information and N groups of material data information, N is greater than or equal to 2, and N is an integer;
the associated equipment matching module 13 is used for performing equipment matching according to the N groups of material attribute information to obtain N groups of material associated equipment;
the self-checking request generating module 14 is configured to generate a device self-checking request in a first preset time zone, send the device self-checking request to the N clients, and obtain N groups of second feedback information, where a final time of the first preset time zone is before an initial time of the meeting time information and is a preset time length away from the initial time;
the self-checking test parameter acquisition module 15 is used for carrying out conference scene analysis according to the N groups of material data information to generate self-checking test parameters;
the self-checking result obtaining module 16 is configured to perform self-checking on the N groups of material related devices in the first preset time zone according to the self-checking test parameters when the N groups of second feedback information include self-checking agreeing signals, and obtain self-checking result information;
and the conference identification module 17 is used for sending the health conference identification information to the conference request client when the self-checking result information is a pass signal.
Further, the first feedback information obtaining module 12 is further configured to:
the online material attribute information is sent to the N clients of the reference node numbering information for selection, N groups of online material attribute information are obtained, and an uploading accessory obtains N groups of online material data information; and
transmitting the offline material attribute information to the N clients of the reference node numbering information for selection, acquiring N groups of offline material attribute information, and uploading accessories to acquire N groups of offline material data information;
the on-line material attribute information at least comprises one or more of a picture attribute, a video attribute, a document attribute and an audio attribute, and the off-line material attribute information at least comprises one or more of a display prop, a recording prop, an audio-visual prop and an agent prop.
Further, the association device matching module 13 is further configured to:
collecting meeting logs of the j-th material attribute information of the i-th material attribute information of the N groups of material attribute information to obtain meeting record data;
frequent pattern mining is conducted on the meeting record data based on the j-th material attribute information, and related equipment functions are obtained;
and setting the function of the associated equipment as the material associated equipment of the j-th material attribute information, and adding the material associated equipment into the i-th material associated equipment of the N groups of material associated equipment.
Further, the association device matching module 13 is further configured to:
setting a support degree threshold, wherein the support degree threshold represents a common record frequency preset value of equipment and the j-th material attribute information;
acquiring equipment support according to the conference record data, wherein the equipment support represents common record frequency of equipment and the j-th material attribute information;
when the equipment support degree is greater than or equal to the support degree threshold value, adding the equipment support degree into an associated equipment set;
and carrying out function analysis on the associated equipment set to acquire the associated equipment function.
Further, the self-checking test parameter obtaining module 15 is further configured to:
obtaining a self-checking test index, wherein the self-checking test index comprises a processing data amount, an audio performance index and a display resolution index;
the audio performance indexes are sent to the N clients to obtain N groups of third feedback information, wherein the N groups of third feedback information comprise N groups of audio performance thresholds;
based on the N groups of material data information, carrying out conference scene analysis on the processed data quantity and the display resolution index to obtain N groups of processed data quantity thresholds and N groups of display resolution thresholds;
and adding the N groups of audio performance thresholds, the N groups of processing data volume thresholds and the N groups of display resolution thresholds into the self-checking test parameters.
Further, the self-checking test parameter obtaining module 15 is further configured to:
the N groups of first feedback information further comprise N groups of material data presentation time sequence information;
acquiring the ith group of material data information of the N groups of material data information, acquiring the ith group of material data presentation time sequence information of the N groups of material data presentation time sequence information, inputting a conference scene analysis model, outputting the ith group of processing data quantity threshold and the ith group of display resolution threshold, and adding the ith group of processing data quantity threshold and the N groups of display resolution threshold;
the conference scene analysis model comprises a processing data quantity statistical channel and a display resolution statistical channel, wherein the processing data quantity statistical channel and the display resolution statistical channel are mutually independent parallel processing nodes.
Further, the self-test result obtaining module 16 is further configured to:
judging whether the N clients have the N groups of material association equipment or not;
if yes, carrying out self-checking on the N groups of material association equipment according to the self-checking test parameters;
and when all the N groups of material association equipment are qualified in self-inspection, generating a passing signal, and adding the passing signal into the self-inspection result information.
The included units and modules are only divided according to the functional logic, but are not limited to the above-mentioned division, so long as the corresponding functions can be realized; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present application.
Further, the self-checking result obtaining module 16 is further configured to:
collecting the distribution states of the audio equipment of N clients through an image collecting device;
acquiring equipment spacing information based on the distribution state of the audio equipment;
acquiring a first audio device and a second audio device, of which the device spacing information is smaller than or equal to a device spacing threshold value, and identifying audio enhancement information;
and when the remote video conference is carried out and the first audio device and the second audio device are started at the same time, audio data of the first audio device and the second audio device with the audio enhancement information are subjected to audio quality enhancement playing.
Example III
Fig. 5 is a schematic structural diagram of an electronic device provided in a third embodiment of the present application, and shows a block diagram of an exemplary electronic device suitable for implementing an embodiment of the present application. The electronic device shown in fig. 5 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present application. As shown in fig. 5, the electronic device includes a processor 31, a memory 32, an input device 33, and an output device 34; the number of processors 31 in the electronic device may be one or more, in fig. 5, one processor 31 is taken as an example, and the processors 31, the memory 32, the input device 33 and the output device 34 in the electronic device may be connected by a bus or other means, in fig. 5, by bus connection is taken as an example.
The memory 32 is used as a computer readable storage medium for storing software programs, computer executable programs and modules, such as program instructions/modules corresponding to a remote video conference intelligent operation and maintenance method in an embodiment of the present application. The processor 31 executes various functional applications and data processing of the computer device by running software programs, instructions and modules stored in the memory 32, i.e. implements a remote video conference intelligent operation and maintenance method as described above.
Note that the above is only a preferred embodiment of the present application and the technical principle applied. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, while the application has been described in connection with the above embodiments, the application is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the application, which is set forth in the following claims.
Claims (10)
1. The intelligent operation and maintenance method for the remote video conference is characterized by being applied to a video conference management end and comprising the following steps:
receiving client conference request information, wherein the client conference request information comprises conference node number information, conference theme information and conference time information;
the conference subject information is sent to N clients of the reference node numbering information, N groups of first feedback information are obtained, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer;
performing equipment matching according to the N groups of material attribute information to obtain N groups of material association equipment;
generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients, and acquiring N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time length;
meeting scene analysis is carried out according to the N groups of material data information, and self-checking test parameters are generated;
when the N groups of second feedback information comprise self-checking agreeing signals, carrying out self-checking on the N groups of material association equipment in the first preset time zone according to the self-checking test parameters, and obtaining self-checking result information;
and when the self-checking result information is a pass signal, sending the health conference identification information to the conference request client.
2. The method of claim 1, wherein the conference subject information is sent to N clients of the reference node number information to obtain N sets of first feedback information, where the N sets of first feedback information include N sets of material attribute information and N sets of material data information, N is greater than or equal to 2, N is an integer, and the method includes:
the online material attribute information is sent to the N clients of the reference node numbering information for selection, N groups of online material attribute information are obtained, and an uploading accessory obtains N groups of online material data information; and
transmitting the offline material attribute information to the N clients of the reference node numbering information for selection, acquiring N groups of offline material attribute information, and uploading accessories to acquire N groups of offline material data information;
the on-line material attribute information at least comprises one or more of a picture attribute, a video attribute, a document attribute and an audio attribute, and the off-line material attribute information at least comprises one or more of a display prop, a recording prop, an audio-visual prop and an agent prop.
3. The method of claim 2, wherein performing device matching according to the N sets of material attribute information to obtain N sets of material association devices, comprises:
collecting meeting logs of the j-th material attribute information of the i-th material attribute information of the N groups of material attribute information to obtain meeting record data;
frequent pattern mining is conducted on the meeting record data based on the j-th material attribute information, and related equipment functions are obtained;
and setting the function of the associated equipment as the material associated equipment of the j-th material attribute information, and adding the material associated equipment into the i-th material associated equipment of the N groups of material associated equipment.
4. The method of claim 3, wherein frequent pattern mining of the meeting record data based on the j-th material attribute information, obtaining associated device functions, comprises:
setting a support degree threshold, wherein the support degree threshold represents a common record frequency preset value of equipment and the j-th material attribute information;
acquiring equipment support according to the conference record data, wherein the equipment support represents common record frequency of equipment and the j-th material attribute information;
when the equipment support degree is greater than or equal to the support degree threshold value, adding the equipment support degree into an associated equipment set;
and carrying out function analysis on the associated equipment set to acquire the associated equipment function.
5. The method of claim 1, wherein conducting meeting scene analysis based on the N sets of material data information generates self-checking test parameters, comprising:
obtaining a self-checking test index, wherein the self-checking test index comprises a processing data amount, an audio performance index and a display resolution index;
the audio performance indexes are sent to the N clients to obtain N groups of third feedback information, wherein the N groups of third feedback information comprise N groups of audio performance thresholds;
based on the N groups of material data information, carrying out conference scene analysis on the processed data quantity and the display resolution index to obtain N groups of processed data quantity thresholds and N groups of display resolution thresholds;
and adding the N groups of audio performance thresholds, the N groups of processing data volume thresholds and the N groups of display resolution thresholds into the self-checking test parameters.
6. The method of claim 5, wherein conducting a meeting scene analysis on the processed data volume and the display resolution indicator based on the N sets of material data information to obtain N sets of processed data volume thresholds and N sets of display resolution thresholds, comprises:
the N groups of first feedback information further comprise N groups of material data presentation time sequence information;
acquiring the ith group of material data information of the N groups of material data information, acquiring the ith group of material data presentation time sequence information of the N groups of material data presentation time sequence information, inputting a conference scene analysis model, outputting the ith group of processing data quantity threshold and the ith group of display resolution threshold, and adding the ith group of processing data quantity threshold and the N groups of display resolution threshold;
the conference scene analysis model comprises a processing data quantity statistical channel and a display resolution statistical channel, wherein the processing data quantity statistical channel and the display resolution statistical channel are mutually independent parallel processing nodes.
7. The method of claim 1, wherein when the N sets of second feedback information include consent to a self-test signal, performing self-test on the N sets of material association devices in the first preset time zone according to the self-test parameter, obtaining self-test result information, including:
judging whether the N clients have the N groups of material association equipment or not;
if yes, carrying out self-checking on the N groups of material association equipment according to the self-checking test parameters;
and when all the N groups of material association equipment are qualified in self-inspection, generating a passing signal, and adding the passing signal into the self-inspection result information.
8. The method as recited in claim 1, further comprising:
collecting the distribution states of the audio equipment of N clients through an image collecting device;
acquiring equipment spacing information based on the distribution state of the audio equipment;
acquiring a first audio device and a second audio device, of which the device spacing information is smaller than or equal to a device spacing threshold value, and identifying audio enhancement information;
and when the remote video conference is carried out and the first audio device and the second audio device are started at the same time, audio data of the first audio device and the second audio device with the audio enhancement information are subjected to audio quality enhancement playing.
9. A remote video conferencing intelligent operation and maintenance system, the system comprising:
the conference request information receiving module is used for receiving client conference request information, wherein the client conference request information comprises conference node number information, conference theme information and conference time information;
the first feedback information acquisition module is used for transmitting the conference subject information to N clients of the reference node numbering information to acquire N groups of first feedback information, wherein the N groups of first feedback information comprise N groups of material attribute information and N groups of material data information, N is more than or equal to 2, and N is an integer;
the associated equipment matching module is used for carrying out equipment matching according to the N groups of material attribute information to obtain N groups of material associated equipment;
the self-checking request generation module is used for generating a device self-checking request of a first preset time zone, sending the device self-checking request to the N clients and obtaining N groups of second feedback information, wherein the final time of the first preset time zone is before the initial time of the conference time information and is a preset time interval;
the self-checking test parameter acquisition module is used for carrying out conference scene analysis according to the N groups of material data information to generate self-checking test parameters;
the self-checking result acquisition module is used for carrying out self-checking on the N groups of material association equipment in the first preset time zone according to the self-checking test parameters when the N groups of second feedback information comprise self-checking agreeing signals, so as to acquire self-checking result information;
and the conference identification module is used for sending the health conference identification information to the conference request client when the self-checking result information is a pass signal.
10. An electronic device, the electronic device comprising:
a memory for storing executable instructions;
a processor configured to implement the intelligent operation and maintenance method for remote video conferences according to any one of claims 1 to 8 when executing the executable instructions stored in the memory.
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