CN108028909A - Wisdom monitors cloud transcoding platform - Google Patents
Wisdom monitors cloud transcoding platform Download PDFInfo
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- CN108028909A CN108028909A CN201680001080.XA CN201680001080A CN108028909A CN 108028909 A CN108028909 A CN 108028909A CN 201680001080 A CN201680001080 A CN 201680001080A CN 108028909 A CN108028909 A CN 108028909A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The present invention discloses a kind of wisdom monitoring cloud transcoding platform, including the monitoring network system of data centre network system and at least one and the data centre network system network connection;The monitoring network system includes an at least camera, network hard disk video recorder and video access server, the camera is used to gather real-time video data, the network hard disk video recorder is used to store video data, and the video access server is used to carry out Unified coding to the real time video data of collection;The data centre network system includes data center server and video cloud server, the data center server is used to decode the video that each monitoring network system uploads and monitoring management, the video cloud server are used to be distributed processing to decoded video.Technical scheme can efficiently use monitoring resource, and can improve the operational efficiency of server.
Description
Technical Field
The invention relates to the technical field of security and protection monitoring, in particular to an intelligent monitoring cloud transcoding platform.
Background
With the development of a safe city, the video monitoring system undergoes multiple times of revolution conversion, and the stages of digitalization, networking, high-definition and intellectualization are comprehensively stepped. At present, a monitoring platform is adopted for urban high-definition network video monitoring modularization, the monitoring platform generally adopts modularized deployment, modularized design is carried out according to the type of service function, the difference of a control layer and a data service layer, and large-scale centralized network video monitoring service bearing service is realized through the deployment of the modules on different hardware servers. Due to the construction dispersion of each subsystem and the change of design ideas in different stages, the specifications and models of front-end cameras are different, and the coding, storage, scheduling and management of the rear end are not completely compatible, so that the network video and audio server is only suitable for matched monitoring equipment, and the problems of resource waste to a great extent and low operating efficiency of the server are caused.
Disclosure of Invention
The invention mainly aims to provide an intelligent monitoring cloud transcoding platform, which aims to effectively utilize monitoring resources and improve the operation efficiency of a server.
In order to achieve the purpose, the invention adopts a technical scheme that: providing an intelligent monitoring cloud transcoding platform, wherein the intelligent monitoring cloud transcoding platform comprises a data center network system and at least one monitoring network system in network connection with the data center network system;
the monitoring network system comprises at least one camera, a network video recorder connected with the camera and a video access server connected with the network video recorder, wherein the camera is used for acquiring real-time video data and uploading the real-time video data to the network video recorder, the network video recorder is used for storing the video data and uploading the video data to the video access server, and the video access server is used for uniformly encoding the acquired real-time video data and uploading the video data to a data center network system;
the data center network system comprises a data center server and a video cloud server connected with the data center server through a network, the data center server is used for decoding and monitoring and managing videos uploaded by each monitoring network system, and the video cloud server is used for distributing and processing the decoded videos.
Preferably, the data center network system further includes a storage server for storing the uploaded video.
Preferably, the data center network system further includes a video analysis server, configured to perform area analysis on the decoded video, and when there is an alarm in the video, display alarm information and feed the alarm information back to the user terminal through the video cloud server.
Preferably, the video analysis server comprises an alarm parameter setting unit for setting alarm information for triggering alarm.
Preferably, the video access server includes a video splicing unit, a video sampling unit connected to the video splicing unit, and a video encoding unit connected to the video sampling unit, the video splicing unit is configured to splice real-time videos collected by the cameras to obtain a panoramic image, and the video sampling unit is configured to perform video sampling on the panoramic image to form a target video to be uploaded; the video coding unit is used for uniformly coding the target video to be uploaded.
Preferably, the video sampling unit is further configured to sample the acquired image every sampling period of 8 frames of images to form a target video to be uploaded.
Preferably, the video sampling unit is further configured to select a target picture from every 8 frame image sampling periods as a sampling picture, and a plurality of sampling pictures form the target video to be uploaded.
The technical scheme of the invention mainly comprises a data center network system and at least one monitoring network system which is in network connection with the data center network system, wherein the monitoring network system is compared with the prior art and is additionally provided with a video access server for uniformly coding and uploading the video to be uploaded, so that the problem that coding incompatibility is easy to occur in monitoring front-end equipment in the prior art can be solved, the utilization rate of monitoring resources can be improved, and the operating efficiency of the server can be improved; meanwhile, a video cloud server is additionally arranged in the data center network system, and the uploaded video data can be distributed and processed, so that the video data can be live broadcast on line, and the query of a user is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a block diagram of modules of an embodiment of a smart monitoring cloud transcoding platform according to the present invention;
FIG. 2 is a system architecture diagram of the intelligent monitoring cloud transcoding platform according to the present invention;
fig. 3 is a block diagram of the video access server of fig. 1.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the description of the invention relating to "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying any relative importance or implicit indication of the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Referring to fig. 1 and fig. 2, in an embodiment of the present invention, the intelligent monitoring cloud transcoding platform includes a data center network system 10 and at least one monitoring network system 20 connected to the data center network system 10 through a network;
the monitoring network system 20 comprises at least one camera 21, a network video recorder 22 (NVR) connected with the camera 21 and a video access server 23 connected with the network video recorder 22, wherein the camera 21 is used for acquiring real-time video data and uploading the real-time video data to the network video recorder 22, the network video recorder 22 is used for storing the video data and uploading the video data to the video access server 23, and the video access server 23 is used for uniformly encoding the acquired real-time video data and uploading the encoded real-time video data to the data center network system 10;
the data center network system 10 includes a data center server 12 and a video cloud server 11 connected to the data center server 12 through a network, the data center server 12 is configured to decode and monitor videos uploaded by each monitoring network system 20, and the video cloud server 11 is configured to distribute the decoded videos.
In this embodiment, the data center network system 10 exchanges data with each monitoring network system 20 through the internet, so that nationwide video data uploading can be realized, and the advantage of wide coverage is achieved. When the video data is uploaded, the video access server 23 is used for uniformly coding the video data to be uploaded, so that the problem that each monitoring front-end device (a camera 21, a network video recorder 22 and the like) is incompatible can be solved, the system needs different codes, and the running efficiency of the data center server 12 on the coded video data can be improved. In this embodiment, compared with the prior art, the video access server 23 is added to the monitoring network system 20, and the video cloud server 11 is added to the data center network system 10, and other devices can continue to use the previous monitoring device, so that the layout cost of the whole platform is low, and the monitoring resources can be effectively utilized.
The technical scheme of the invention mainly comprises a data center network system 10 and at least one monitoring network system 20 which is in network connection with the data center network system 10, wherein compared with the prior art, the monitoring network system 20 is additionally provided with a video access server 23 for uniformly coding and uploading videos to be uploaded, so that the problem that coding incompatibility is easy to occur in monitoring front-end equipment in the prior art can be solved, the utilization rate of monitoring resources can be improved, and the operation efficiency of the server can be improved; meanwhile, the video cloud server 11 is additionally arranged in the data center network system 10, and can distribute and process the uploaded video data so as to live broadcast the video data on line and facilitate the query of a user.
In a specific embodiment, the data center network system 10 further includes a storage server 13 for storing the uploaded video. In this embodiment, as the number of the monitoring network systems 20 increases, one or more storage servers 13 may be provided in the data center network system 10 to store the uploaded data. Of course, the storage server 13 may also selectively store the video data according to actual requirements, so as to improve the utilization rate of the storage server 13. For example, video information of specific alarm information can be selected for storage, so as to facilitate follow-up investigation and evidence collection.
In a specific embodiment, the data center network system 10 further includes a video analysis server 14, configured to perform area analysis on the decoded video, and when there is an alarm in the video, display alarm information and feed the alarm information back to the user terminal through the video cloud server 11. In this embodiment, can carry out regional analysis to the video through video analysis server 14 to the picture information in each region is discerned, when there is the alert condition in the video, shows alarm information and feeds back alarm information to user terminal through video cloud end server 11, so, can improve the efficiency of discovery alert condition. In practical application, whether the similarity between the regional parameters in the video and the preset parameters exceeds an identification threshold value or not can be compared, if yes, the video is judged to contain the warning information, and if not, the video is judged to be a normal video.
Further, the video analysis server 14 includes an alert parameter setting unit, configured to set alert information for triggering an alarm. In this embodiment, the alarm condition parameter setting unit can set the alarm condition information for triggering the alarm according to the needs of the user, so that the alarm condition information for triggering the alarm, which is automatically set by the system, can be prevented from failing to meet specific environmental requirements, resulting in the generation of alarm condition missing or false alarm.
Referring to fig. 3, in a specific embodiment, the video access server 23 includes a video splicing unit 231, a video sampling unit 232 connected to the video splicing unit 231, and a video encoding unit 233 connected to the video sampling unit 232, where the video splicing unit 231 is configured to splice real-time videos collected by the cameras 21 to obtain panoramic images, and the video sampling unit 232 is configured to perform video sampling on the panoramic images to form target videos to be uploaded; the video encoding unit 233 is configured to uniformly encode a target video to be uploaded. In this embodiment, the video stitching unit 231 may stitch the images collected by the plurality of cameras 21 into a panoramic image, and the processing efficiency of the panoramic image may be improved by analyzing the panoramic image in the video analysis server 14. In practice, most of monitored video data are normal videos, and when all the video data are uploaded, the workload of the data center network system 10 is inevitably caused, and the video image can be sampled by the video sampling unit 232, so that the uploading efficiency of the data can be improved, and the burden of the data center network system 10 can be reduced. The video encoding unit 233 can encode the video to be uploaded uniformly, so that the problem that the monitoring front-end device is incompatible and needs to adopt different encoding can be solved.
With continued reference to fig. 3, further, the video sampling unit 232 is further configured to sample the acquired image every 8 frame image sampling periods to form a target video to be uploaded. In this embodiment, each 8 frames is used as a sampling period to sample the pictures in the video, so that the code stream of the monitoring video can be reduced to the original 1/8, the transmission bandwidth is greatly saved, and the data structure can be optimized. Of course, a sampling period of every 8 frames is only a specific scheme of this embodiment, and the video to be uploaded may also be sampled with a sampling period of more than 8 frames or less than 8 frames.
Referring to fig. 3, in an embodiment, the video sampling unit 232 is further configured to select a target picture from every 8 frame image sampling periods as a sampling picture, and a plurality of sampling pictures form a target video to be uploaded. In consideration of the quality problem of the extracted sampling picture (such as poor picture shooting effect, unobvious picture characteristics and the like), a better picture can be selected from 8 frames of images to be used as the sampling picture so as to improve the quality of the target video.
To sum up, the wisdom control cloud transcoding platform of this scheme has following advantage at least:
1) and (5) automatic monitoring in real time. The data center server 12 can upload video/monitoring information nationwide in real time, ensure the effectiveness and reliability of data and provide a real-time pipeline for video-based command scheduling and event early warning;
2) the multi-path mass data can be simultaneously accessed through the video access server 23, the uploading, storage and processing of multi-path pictures and videos can be realized on the existing network channel, and a data basis is provided for the processing of the video mass data;
3) low deployment cost. The platform is deployed based on the existing equipment, and can be completed by only adding a plurality of video access servers 23 in the existing monitoring network system 20 and adding a video cloud server 11 in a data center;
4) and (4) expansibility. The platform has good expansibility in function and performance, and new services can be rapidly customized and added or expanded according to requirements in the future without changing a hardware deployment architecture;
5) and (5) unified access. The added video access server 23 can be compatible with most brands of equipment such as a camera 21/NVR and the like, and the problem of uniform access of equipment of different manufacturers is solved;
6) and distributing the service. Through the added video cloud server 11, the distribution service of pictures and videos can be provided based on the internet, and a public service platform can be developed. The whole solution can be divided into a front-end monitoring resource collection part, a monitoring resource access part, a networking centralized management platform, an image resource storage part, an image resource sharing platform construction part and the like.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
- An intelligent monitoring cloud transcoding platform is characterized by comprising a data center network system and at least one monitoring network system in network connection with the data center network system;the monitoring network system comprises at least one camera, a network video recorder connected with the camera and a video access server connected with the network video recorder, wherein the camera is used for acquiring real-time video data and uploading the real-time video data to the network video recorder, the network video recorder is used for storing the video data and uploading the video data to the video access server, and the video access server is used for uniformly encoding the acquired real-time video data and uploading the video data to a data center network system;the data center network system comprises a data center server and a video cloud server connected with the data center server through a network, the data center server is used for decoding and monitoring and managing videos uploaded by each monitoring network system, and the video cloud server is used for distributing and processing the decoded videos.
- The intelligent monitoring cloud transcoding platform of claim 1, wherein the data center network system further comprises a storage server for storing the uploaded video.
- The intelligent monitoring cloud transcoding platform of claim 1, wherein the data center network system further comprises a video analysis server, and the video analysis server is used for performing area analysis on the decoded video, displaying alarm information and feeding the alarm information back to the user terminal through the video cloud server when there is an alarm situation in the video.
- The intelligent monitoring cloud transcoding platform of claim 3, wherein the video analysis server comprises an alert parameter setting unit for setting alert information for triggering an alarm.
- The intelligent monitoring cloud transcoding platform of claim 1, wherein the video access server comprises a video splicing unit, a video sampling unit connected with the video splicing unit, and a video coding unit connected with the video sampling unit, wherein the video splicing unit is used for splicing real-time videos collected by the cameras to obtain panoramic images, and the video sampling unit is used for performing video sampling on the panoramic images to form target videos to be uploaded; the video coding unit is used for uniformly coding the target video to be uploaded.
- The intelligent surveillance cloud transcoding platform of claim 5, wherein the video sampling unit is further configured to sample the captured images every 8 frame image sampling period to form the target video to be uploaded.
- The intelligent surveillance cloud transcoding platform of claim 6, wherein the video sampling unit is further configured to select a target picture from every 8 frame image sampling periods as a sampling picture, and a plurality of sampling pictures form a target video to be uploaded.
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PCT/CN2016/093883 WO2018027448A1 (en) | 2016-08-08 | 2016-08-08 | Intelligent monitoring cloud transcoding platform |
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