WO2018027448A1 - Intelligent monitoring cloud transcoding platform - Google Patents

Intelligent monitoring cloud transcoding platform Download PDF

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Publication number
WO2018027448A1
WO2018027448A1 PCT/CN2016/093883 CN2016093883W WO2018027448A1 WO 2018027448 A1 WO2018027448 A1 WO 2018027448A1 CN 2016093883 W CN2016093883 W CN 2016093883W WO 2018027448 A1 WO2018027448 A1 WO 2018027448A1
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WIPO (PCT)
Prior art keywords
video
server
network system
data center
monitoring
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PCT/CN2016/093883
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French (fr)
Chinese (zh)
Inventor
阮剑
李林
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深圳秦云网科技有限公司
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Application filed by 深圳秦云网科技有限公司 filed Critical 深圳秦云网科技有限公司
Priority to PCT/CN2016/093883 priority Critical patent/WO2018027448A1/en
Priority to CN201680001080.XA priority patent/CN108028909A/en
Publication of WO2018027448A1 publication Critical patent/WO2018027448A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the invention relates to the technical field of security monitoring, in particular to a smart monitoring cloud transcoding platform.
  • the video surveillance system has undergone many changes and transformations, and has gradually entered the stage of digitalization, networking, high-definition and intelligence.
  • the urban HD network video surveillance modularization adopts a monitoring platform.
  • the monitoring platform generally adopts modular deployment, and is modularized according to the type of service function, the control layer and the data service layer, and the modules are on different hardware servers.
  • the main object of the present invention is to provide a smart monitoring cloud transcoding platform, which aims to effectively utilize monitoring resources and improve the operating efficiency of the server.
  • a technical solution adopted by the present invention is to provide a smart monitoring cloud transcoding platform, where the smart monitoring cloud transcoding platform includes a data center network system and at least one network connection with the data center network system.
  • Monitoring network system includes a data center network system and at least one network connection with the data center network system.
  • the monitoring network system includes at least one camera, a network hard disk recorder connected to the camera, and a video access server connected to the network hard disk recorder, wherein the camera is configured to collect real-time video data and upload it to a network hard disk recorder.
  • the network hard disk recorder is configured to store and upload video data to a video access server, where the video access server is used to uniformly encode and upload the collected real-time video data to a data center network system;
  • the data center network system includes a data center server and a video cloud server connected to the data center server network, where the data center server is used for decoding, monitoring, and managing video uploaded by each monitoring network system, where the video cloud server is used.
  • the distribution process is performed on the decoded video.
  • the data center network system further includes a storage server for storing the uploaded video.
  • the data center network system further includes a video analysis server, configured to perform area analysis on the decoded video, and display an alarm message when the video has an alarm, and feed the alarm information to the user terminal through the video cloud server.
  • a video analysis server configured to perform area analysis on the decoded video, and display an alarm message when the video has an alarm, and feed the alarm information to the user terminal through the video cloud server.
  • the video analysis server includes an alarm parameter setting unit for setting alarm information for triggering an alarm.
  • the video access server comprises 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, where the video splicing unit is used for collecting by each camera.
  • the real-time video is spliced to obtain a panoramic image
  • the video sampling unit is configured to perform video sampling on the panoramic image to form a target video to be uploaded
  • the video encoding unit is configured to perform unified encoding on the target video to be uploaded.
  • the video sampling unit is further configured to sample the collected image to form a target video to be uploaded every sampling period of 8 frames of images.
  • the video sampling unit is further configured to select a target picture as a sample picture from a sampling period of each 8 frames of images, and the plurality of sample pictures form a target video to be uploaded.
  • the technical solution of the present invention mainly includes a data center network system and at least one monitoring network system connected to the data center network system network, wherein the monitoring network system adds a video access server compared to the prior art, and is used for treating
  • the uploaded video is uniformly encoded and uploaded.
  • the problem that the monitoring front-end device is prone to coding incompatibility in the prior art can be solved, the utilization of the monitoring resource can be improved, and the operating efficiency of the server can be improved.
  • a video cloud server has been added to the system to distribute and process the uploaded video data to broadcast live video data for user's query.
  • FIG. 1 is a block diagram of a module of an intelligent monitoring cloud transcoding platform according to an embodiment of the present invention
  • FIG. 2 is a system architecture diagram of a smart monitoring cloud transcoding platform of the present invention
  • FIG. 3 is a block diagram of a module of the video access server of FIG. 1.
  • first, second and the like in the present invention are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. It is also within the scope of protection required by the present invention.
  • the smart 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;
  • the monitoring network system 20 includes at least one camera 21, a network hard disk recorder 22 (NVR) connected to the camera 21, and a video access server 23 connected to the network hard disk recorder 22, and the camera 21 is used for collecting real time.
  • the video data is uploaded to the network hard disk recorder 22, and the network hard disk recorder 22 is configured to store and upload the video data to the video access server 23, and the video access server 23 is configured to unify the collected real-time video data. Encode and upload 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, and the data center server 12 is configured to decode, monitor, and manage video uploaded by each monitoring network system 20.
  • the video cloud server 11 is configured to perform distribution processing on the decoded video.
  • the data center network system 10 performs data exchange with each monitoring network system 20 through the Internet, and can realize video data uploading nationwide, and has the advantages of wide coverage.
  • the video data to be uploaded by the video access server 23 is uniformly encoded.
  • the problem that the monitoring front-end devices (the camera 21 and the network hard disk recorder 22, etc.) are incompatible can be solved, and the system needs different encodings.
  • the data center server 12 can improve the efficiency of the encoded video data.
  • 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 use the previous monitoring device. The entire platform is deployed at a lower cost and can effectively utilize monitoring resources.
  • the technical solution of the present invention mainly includes a data center network system 10 and at least one monitoring network system 20 connected to the data center network system 10, wherein the monitoring network system 20 adds a video access server compared to the prior art.
  • the monitoring network system 20 adds a video access server compared to the prior art. 23 for uniformly encoding and uploading the uploaded video, so that the problem that the monitoring front-end device is prone to coding incompatibility in the prior art can be solved, the utilization of the monitoring resource can be improved, and the operating efficiency of the server can be improved;
  • the video cloud server 11 is added to the data center network system 10, and the uploaded video data can be distributed and processed to directly broadcast the video data, which is convenient for the user to query.
  • the data center network system 10 further includes a storage server 13 for storing uploaded videos.
  • a storage server 13 for storing uploaded videos.
  • one or more storage servers 13 may be provided in the data center network system 10 to store the uploaded data.
  • the storage server 13 can selectively store video data according to actual requirements to improve the utilization rate of the storage server 13. For example, the video information of the specific alarm information can be selected for storage to facilitate subsequent investigation and forensics.
  • the data center network system 10 further includes a video analysis server 14 for performing area analysis on the decoded video, and displaying an alarm message and passing the video cloud server when there is an alarm in the video. 11 feedback the alarm information to the user terminal.
  • the video analysis server 14 can perform regional analysis on the video to identify the picture information in each area. When there is an alarm in the video, the alarm information is displayed and the alarm information is fed back to the user terminal through the video cloud server 11. In this way, the efficiency of detecting an alarm can be improved.
  • the video analysis server 14 includes an alarm parameter setting unit for setting alarm information for triggering an alarm.
  • the alarm information for triggering the alarm can be set according to the needs of the user, so that the alarm information triggered by the system automatically can not be prevented from meeting the specific environmental requirements, resulting in a warning leak. Report or false positives.
  • 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 connected to the video sampling unit 232.
  • the encoding unit 233 is configured to splicing the real-time video collected by each camera 21 to obtain a panoramic image, and the video sampling unit 232 is configured to perform video sampling on the panoramic image to form a target video to be uploaded;
  • the video encoding unit 233 is used for unified encoding of the target video to be uploaded.
  • the video splicing unit 231 can splicing the images collected by the plurality of cameras 21 into a panoramic image, and analyzing the panoramic image in the video analysis server 14 can improve the processing efficiency thereof.
  • most of the monitored video data is normal video.
  • the data center network system 10 is inevitably burdened, and the video image can be sampled by the video sampling unit 232, thereby improving the data uploading efficiency and The burden on the data center network system 10 is reduced.
  • the video encoding unit 233 can uniformly encode the video to be uploaded, so that the problem that the monitoring front-end device is incompatible and different encoding needs to be used can be solved.
  • the video sampling unit 232 is further configured to sample the collected image to form a target video to be uploaded every sampling period of 8 frames of images.
  • the picture in the video is sampled every 8 frames, so that the code stream of the surveillance video can be reduced to 1/8 of the original, the transmission bandwidth is greatly saved, and the data structure can be optimized.
  • one sampling period per 8 frames is only one specific scheme of the embodiment, and the uploaded video may be sampled in a sampling period of more than 8 frames or less.
  • the video sampling unit 232 is further configured to select a target picture as a sample picture from a sampling period of each 8 frames of images, and the plurality of sample pictures form a target video to be uploaded. Considering the quality of the sampled pictures taken (such as poor picture shooting, inconspicuous picture features, etc.), a better picture can be selected from the 8 frames as a sample picture to improve the quality of the target video.
  • the smart monitoring cloud transcoding platform of this solution has at least the following advantages:
  • Multi-channel massive data through the video access server 23, multiple channels of data can be simultaneously accessed, and multiple pictures and videos can be uploaded, stored, and processed on the existing network channel, providing a data foundation for video big data processing. ;
  • the platform is based on the existing device deployment, and only needs to add a plurality of video access servers 23 in the existing monitoring network system 20, and add the video cloud server 11 in the data center to complete;
  • the platform has good scalability in terms of function and performance. In the future, it can quickly add new services or expand capacity according to requirements without changing the hardware deployment architecture.
  • Unified access Through the added video access server 23, it can be compatible with most brands of cameras 21/NVR and other devices to solve the problem of unified access of devices from different manufacturers;
  • Distribution services Through the added video cloud server 11, the distribution service of pictures and videos can be provided based on the Internet, and can be developed into a public service platform. The whole solution can be divided into front-end monitoring resource collection, monitoring resource access, networked centralized management platform, image resource storage and image resource sharing platform construction.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

An intelligent monitoring cloud transcoding platform, comprising a data center network system and at least one monitoring network system in network connection thereto. The monitoring network system comprises at least one camera, a network hard disk video recorder, and a video access server. The camera is used for collecting real-time video data, the network hard disk video recorder is used for storing the video data, and the video access server is used for carrying out unified coding on the collected real-time video data. The data center network system comprises a data center server and a video cloud server. The data center server is used for decoding, monitoring, and managing videos uploaded by each monitoring network system, and the video cloud server is used for distributing the decoded videos. The present technical solution can efficiently utilize monitoring resources, and can improve the operation efficiency of a server.

Description

智慧监控云转码平台  Smart Monitoring Cloud Transcoding Platform
技术领域Technical field
本发明涉及安防监控技术领域,尤其涉及一种智慧监控云转码平台。The invention relates to the technical field of security monitoring, in particular to a smart monitoring cloud transcoding platform.
背景技术Background technique
随着平安城市的发展,视频监控系统历经多次变革转换,已经全面步入数字化、网络化、高清化、智能化的阶段。目前,城市高清网络视频监控模块化采用监控平台,该监控平台一般采用模块化部署,根据服务功能的类型、控制层和数据服务层的不同进行模块化设计,通过这些模块在不同硬件服务器上的部署实现大规模的集中网络视频监控业务承载服务。由于各个子系统建设的分散和不同阶段设计思想的变化,前端摄像机的规格和型号各不相同,后端的编码和存储调度管理也不完全兼容,导致网络视音频服务器只适用于配套的监视设备,这样就会造成极大程度的资源浪费,以及服务器运行效率低下的问题。With the development of Safe City, the video surveillance system has undergone many changes and transformations, and has gradually entered the stage of digitalization, networking, high-definition and intelligence. At present, the urban HD network video surveillance modularization adopts a monitoring platform. The monitoring platform generally adopts modular deployment, and is modularized according to the type of service function, the control layer and the data service layer, and the modules are on different hardware servers. Deploy large-scale centralized network video surveillance service bearer services. Due to the decentralized construction of each subsystem and the change of design ideas at different stages, the specifications and models of the front-end cameras are different, and the encoding and storage scheduling management of the back-end is not fully compatible, resulting in the network video and audio server only applicable to the supporting monitoring equipment. This will result in a huge waste of resources and a problem of inefficient server operation.
发明内容Summary of the invention
本发明的主要目的是提供一种智慧监控云转码平台,旨在有效利用监控资源,并且能够提高服务器的运行效率。The main object of the present invention is to provide a smart monitoring cloud transcoding platform, which aims to effectively utilize monitoring resources and improve the operating efficiency of the server.
为实现上述目的,本发明采用的一个技术方案为:提供一种智慧监控云转码平台,所述智慧监控云转码平台包括数据中心网络系统以及至少一与所述数据中心网络系统网络连接的监控网络系统;To achieve the above objective, a technical solution adopted by the present invention is to provide a smart monitoring cloud transcoding platform, where the smart monitoring cloud transcoding platform includes a data center network system and at least one network connection with the data center network system. Monitoring network system;
所述监控网络系统包括至少一摄像头、与所述摄像头连接的网络硬盘录像机以及与所述网络硬盘录像机连接的视频接入服务器,所述摄像头用于采集实时的视频数据并上传至网络硬盘录像机,所述网络硬盘录像机用于对视频数据进行存储并上传至视频接入服务器,所述视频接入服务器用于对采集的实时视频数据进行统一编码并上传至数据中心网络系统;The monitoring network system includes at least one camera, a network hard disk recorder connected to the camera, and a video access server connected to the network hard disk recorder, wherein the camera is configured to collect real-time video data and upload it to a network hard disk recorder. The network hard disk recorder is configured to store and upload video data to a video access server, where the video access server is used to uniformly encode and upload the collected real-time video data to a data center network system;
所述数据中心网络系统包括数据中心服务器及所述数据中心服务器网络连接的视频云端服务器,所述数据中心服务器用于对各监控网络系统上传的视频进行解码及监控管理,所述视频云端服务器用于对解码后的视频进行分发处理。The data center network system includes a data center server and a video cloud server connected to the data center server network, where the data center server is used for decoding, monitoring, and managing video uploaded by each monitoring network system, where the video cloud server is used. The distribution process is performed on the decoded video.
优选地,所述数据中心网络系统还包括存储服务器,用于对上传的视频进行存储。Preferably, the data center network system further includes a storage server for storing the uploaded video.
优选地,所述数据中心网络系统还包括视频分析服务器,用于对解码后的视频进行区域分析,并当视频中存在警情时,显示报警信息并通过视频云端服务器将报警信息反馈至用户终端。Preferably, the data center network system further includes a video analysis server, configured to perform area analysis on the decoded video, and display an alarm message when the video has an alarm, and feed the alarm information to the user terminal through the video cloud server. .
优选地,所述视频分析服务器包括警情参数设置单元,用于设定触发报警的警情信息。Preferably, the video analysis server includes an alarm parameter setting unit for setting alarm information for triggering an alarm.
优选地,所述视频接入服务器包括视频拼接单元、与所述视频拼接单元连接的视频抽样单元以及与所述视频抽样单元连接的视频编码单元,所述视频拼接单元用于对各摄像头采集的实时视频进行拼接以获得全景图像,所述视频抽样单元用于对全景图像进行视频抽样形成待上传的目标视频;所述视频编码单元用于对待上传的目标视频进行统一编码。Preferably, the video access server comprises 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, where the video splicing unit is used for collecting by each camera. The real-time video is spliced 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 encoding unit is configured to perform unified encoding on the target video to be uploaded.
优选地,所述视频抽样单元还用于每8帧图像的抽样周期对采集的图像进行抽样以形成待上传的目标视频。Preferably, the video sampling unit is further configured to sample the collected image to form a target video to be uploaded every sampling period of 8 frames of images.
优选地,所述视频抽样单元还用于从每8帧图像的抽样周期中选择一目标图片作为抽样图片,多个抽样图片形成待上传的目标视频。Preferably, the video sampling unit is further configured to select a target picture as a sample picture from a sampling period of each 8 frames of images, and the plurality of sample pictures form a target video to be uploaded.
本发明的技术方案主要包括数据中心网络系统以及至少一与所述数据中心网络系统网络连接的监控网络系统,其中,监控网络系统相比于现有技术新增了视频接入服务器,用于对待上传的视频进行统一编码并上传,如此,可以解决现有技术中监控前端设备容易出现编码不兼容的问题,可以提高监控资源的利用率,并且能够提高服务器的运行效率;同时,在数据中心网络系统中新增了视频云端服务器,能够对上传的视频数据进行分发处理,以在线直播视频数据,方便用户的查询。The technical solution of the present invention mainly includes a data center network system and at least one monitoring network system connected to the data center network system network, wherein the monitoring network system adds a video access server compared to the prior art, and is used for treating The uploaded video is uniformly encoded and uploaded. In this way, the problem that the monitoring front-end device is prone to coding incompatibility in the prior art can be solved, the utilization of the monitoring resource can be improved, and the operating efficiency of the server can be improved. Meanwhile, in the data center network A video cloud server has been added to the system to distribute and process the uploaded video data to broadcast live video data for user's query.
附图说明DRAWINGS
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图示出的结构获得其他的附图。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 embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and those skilled in the art can obtain other drawings according to the structures shown in the drawings without any creative work.
图1为本发明智慧监控云转码平台一实施例的模块方框图;1 is a block diagram of a module of an intelligent monitoring cloud transcoding platform according to an embodiment of the present invention;
图2为本发明智慧监控云转码平台的系统架构图;2 is a system architecture diagram of a smart monitoring cloud transcoding platform of the present invention;
图3为图1中视频接入服务器的模块方框图。3 is a block diagram of a module of the video access server of FIG. 1.
本发明目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.
具体实施方式detailed description
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明的一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. 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 obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
需要说明,本发明中涉及“第一”、“第二”等的描述仅用于描述目的,而不能理解为指示或暗示其相对重要性或者隐含指明所指示的技术特征的数量。由此,限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。另外,各个实施例之间的技术方案可以相互结合,但是必须是以本领域普通技术人员能够实现为基础,当技术方案的结合出现相互矛盾或无法实现时应当认为这种技术方案的结合不存在,也不在本发明要求的保护范围之内。It is to be noted that the descriptions of the "first", "second" and the like in the present invention are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. It is also within the scope of protection required by the present invention.
请参照图1和图2,在本发明实施例中,该智慧监控云转码平台,包括数据中心网络系统10以及至少一与所述数据中心网络系统10网络连接的监控网络系统20;Referring to FIG. 1 and FIG. 2, in the embodiment of the present invention, the smart 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;
所述监控网络系统20包括至少一摄像头21、与所述摄像头21连接的网络硬盘录像机22(NVR)以及与所述网络硬盘录像机22连接的视频接入服务器23,所述摄像头21用于采集实时的视频数据并上传至网络硬盘录像机22,所述网络硬盘录像机22用于对视频数据进行存储并上传至视频接入服务器23,所述视频接入服务器23用于对采集的实时视频数据进行统一编码并上传至数据中心网络系统10;The monitoring network system 20 includes at least one camera 21, a network hard disk recorder 22 (NVR) connected to the camera 21, and a video access server 23 connected to the network hard disk recorder 22, and the camera 21 is used for collecting real time. The video data is uploaded to the network hard disk recorder 22, and the network hard disk recorder 22 is configured to store and upload the video data to the video access server 23, and the video access server 23 is configured to unify the collected real-time video data. Encode and upload to the data center network system 10;
所述数据中心网络系统10包括数据中心服务器12及所述数据中心服务器12网络连接的视频云端服务器11,所述数据中心服务器12用于对各监控网络系统20上传的视频进行解码及监控管理,所述视频云端服务器11用于对解码后的视频进行分发处理。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, and the data center server 12 is configured to decode, monitor, and manage video uploaded by each monitoring network system 20. The video cloud server 11 is configured to perform distribution processing on the decoded video.
本实施例中,数据中心网络系统10通过互联网与各监控网络系统20进行数据交换,可以实现全国范围内的视频数据上传,具有覆盖面广的优点。在视频数据上传时,通过视频接入服务器23对待上传的视频数据进行统一编码,如此,可以解决各监控前端设备(摄像头21及网络硬盘录像机22等)不兼容的问题,导致系统需要不同的编码,如此,可以提高数据中心服务器12对编码的视频数据运行效率。本实施例中,相比于现有技术,在监控网络系统20中增加视频接入服务器23,以及在数据中心网络系统10中增加视频云端服务器11,其他的设备可以沿用之前的监控设备,使得整个平台的布设成本较低,能够有效利用监控资源。In this embodiment, the data center network system 10 performs data exchange with each monitoring network system 20 through the Internet, and can realize video data uploading nationwide, and has the advantages of wide coverage. When the video data is uploaded, the video data to be uploaded by the video access server 23 is uniformly encoded. Thus, the problem that the monitoring front-end devices (the camera 21 and the network hard disk recorder 22, etc.) are incompatible can be solved, and the system needs different encodings. Thus, the data center server 12 can improve the efficiency of the encoded video data. In this embodiment, 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 use the previous monitoring device. The entire platform is deployed at a lower cost and can effectively utilize monitoring resources.
本发明的技术方案主要包括数据中心网络系统10以及至少一与所述数据中心网络系统10网络连接的监控网络系统20,其中,监控网络系统20相比于现有技术新增了视频接入服务器23,用于对待上传的视频进行统一编码并上传,如此,可以解决现有技术中监控前端设备容易出现编码不兼容的问题,可以提高监控资源的利用率,并且能够提高服务器的运行效率;同时,在数据中心网络系统10中新增了视频云端服务器11,能够对上传的视频数据进行分发处理,以在线直播视频数据,方便用户的查询。The technical solution of the present invention mainly includes a data center network system 10 and at least one monitoring network system 20 connected to the data center network system 10, wherein the monitoring network system 20 adds a video access server compared to the prior art. 23, for uniformly encoding and uploading the uploaded video, so that the problem that the monitoring front-end device is prone to coding incompatibility in the prior art can be solved, the utilization of the monitoring resource can be improved, and the operating efficiency of the server can be improved; The video cloud server 11 is added to the data center network system 10, and the uploaded video data can be distributed and processed to directly broadcast the video data, which is convenient for the user to query.
在一具体的实施例中,所述数据中心网络系统10还包括存储服务器13,用于对上传的视频进行存储。本实施例中,随着监控网络系统20的数量的增多,可以在数据中心网络系统10中设置一个或一个以上的存储服务器13,以对上传的数据进行存储。当然,该存储服务器13还可以根据实际的要求,选择性的对视频数据进行存储,以提高存储服务器13的利用率。例如,可以选择具体报警信息的视频信息进行存储,以方便后续的调查取证。In a specific embodiment, the data center network system 10 further includes a storage server 13 for storing uploaded videos. In this embodiment, as the number of 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 can selectively store video data according to actual requirements to improve the utilization rate of the storage server 13. For example, the video information of the specific alarm information can be selected for storage to facilitate subsequent investigation and forensics.
在一具体的实施例中,所述数据中心网络系统10还包括视频分析服务器14,用于对解码后的视频进行区域分析,并当视频中存在警情时,显示报警信息并通过视频云端服务器11将报警信息反馈至用户终端。本实施例中,通过视频分析服务器14可以对视频进行区域分析,以识别各区域内的图片信息,当视频中存在警情时,显示报警信息并通过视频云端服务器11将报警信息反馈至用户终端,如此,可以提高发现警情的效率。在实际的应用中,可以比较视频中的区域参数与预设的参数的相似度是否超过识别阈值,若是则判断为该视频中包含有警情信息,若否则判断该视频为正常视频。In a specific embodiment, the data center network system 10 further includes a video analysis server 14 for performing area analysis on the decoded video, and displaying an alarm message and passing the video cloud server when there is an alarm in the video. 11 feedback the alarm information to the user terminal. In this embodiment, the video analysis server 14 can perform regional analysis on the video to identify the picture information in each area. When there is an alarm in the video, the alarm information is displayed and the alarm information is fed back to the user terminal through the video cloud server 11. In this way, the efficiency of detecting an alarm can be improved. In an actual application, it is possible to compare whether the similarity between the regional parameter and the preset parameter in the video exceeds the identification threshold, and if so, it is determined that the video contains the alert information, and if otherwise, the video is determined to be a normal video.
进一步的,所述视频分析服务器14包括警情参数设置单元,用于设定触发报警的警情信息。本实施例中,通过警情参数设置单元,可以根据用户的需要设置触发报警的警情信息,如此,可以防止系统自动设置的触发报警的警情信息无法满足具体的环境要求,导致警情漏报或误报的产生。Further, the video analysis server 14 includes an alarm parameter setting unit for setting alarm information for triggering an alarm. In this embodiment, through the alarm parameter setting unit, the alarm information for triggering the alarm can be set according to the needs of the user, so that the alarm information triggered by the system automatically can not be prevented from meeting the specific environmental requirements, resulting in a warning leak. Report or false positives.
请参照图3,在一具体的实施例中,所述视频接入服务器23包括视频拼接单元231、与所述视频拼接单元231连接的视频抽样单元232以及与所述视频抽样单元232连接的视频编码单元233,所述视频拼接单元231用于对各摄像头21采集的实时视频进行拼接以获得全景图像,所述视频抽样单元232用于对全景图像进行视频抽样形成待上传的目标视频;所述视频编码单元233用于对待上传的目标视频进行统一编码。本实施例中,视频拼接单元231可以将多个摄像头21采集的图像拼接成全景图像,在视频分析服务器14中通过对全景图像进行分析,可以提高其处理效率。实际中,监控的视频数据大多数为正常视频,所有视频数据都上传时,势必会造成数据中心网络系统10的工作负担,通过视频抽样单元232对视频图像可以抽样,可以提高数据的上传效率以及降低数据中心网络系统10的负担。该视频编码单元233可以对待上传的视频进行统一编码,如此,可以解决监控前端设备不兼容,需要采用不同编码的问题。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 connected to the video sampling unit 232. The encoding unit 233 is configured to splicing the real-time video collected by each camera 21 to obtain a panoramic image, and the video sampling unit 232 is configured to perform video sampling on the panoramic image to form a target video to be uploaded; The video encoding unit 233 is used for unified encoding of the target video to be uploaded. In this embodiment, the video splicing unit 231 can splicing the images collected by the plurality of cameras 21 into a panoramic image, and analyzing the panoramic image in the video analysis server 14 can improve the processing efficiency thereof. In practice, most of the monitored video data is normal video. When all the video data is uploaded, the data center network system 10 is inevitably burdened, and the video image can be sampled by the video sampling unit 232, thereby improving the data uploading efficiency and The burden on the data center network system 10 is reduced. The video encoding unit 233 can uniformly encode the video to be uploaded, so that the problem that the monitoring front-end device is incompatible and different encoding needs to be used can be solved.
请继续参照图3,进一步的,所述视频抽样单元232还用于每8帧图像的抽样周期对采集的图像进行抽样以形成待上传的目标视频。本实施例中,以每8帧为一个抽样周期对视频中的图片进行抽样,如此,可以将监控视频的码流降低到原有的1/8,大大节省传输带宽,以及能够优化数据结构。当然,每8帧为一个抽样周期仅为本实施例的一个具体方案,还可以以多于8帧或小于8帧的抽样周期对待上传的视频进行抽样。Please continue to refer to FIG. 3. Further, the video sampling unit 232 is further configured to sample the collected image to form a target video to be uploaded every sampling period of 8 frames of images. In this embodiment, the picture in the video is sampled every 8 frames, so that the code stream of the surveillance video can be reduced to 1/8 of the original, the transmission bandwidth is greatly saved, and the data structure can be optimized. Of course, one sampling period per 8 frames is only one specific scheme of the embodiment, and the uploaded video may be sampled in a sampling period of more than 8 frames or less.
请参照图3,在一实施例中,所述视频抽样单元232还用于从每8帧图像的抽样周期中选择一目标图片作为抽样图片,多个抽样图片形成待上传的目标视频。考虑到取出的抽样图片的质量问题(如图片拍摄效果不好,图片特征不明显等),可以从8帧图像中选出一幅较佳的图片作为抽样图片,以提高目标视频的质量。 Referring to FIG. 3, in an embodiment, the video sampling unit 232 is further configured to select a target picture as a sample picture from a sampling period of each 8 frames of images, and the plurality of sample pictures form a target video to be uploaded. Considering the quality of the sampled pictures taken (such as poor picture shooting, inconspicuous picture features, etc.), a better picture can be selected from the 8 frames as a sample picture to improve the quality of the target video.
综上,本方案的智慧监控云转码平台至少具有如下优势:In summary, the smart monitoring cloud transcoding platform of this solution has at least the following advantages:
1)实时自动化监控。通过数据中心服务器12,可实现全国范围内的视频/监控信息实时上传,保证数据的实效性、可靠性,为基于视频的指挥调度、事件预警提供实时管道;1) Real-time automated monitoring. Through the data center server 12, real-time uploading of video/monitoring information across the country can be realized, ensuring the effectiveness and reliability of the data, and providing a real-time pipeline for video-based command dispatching and event warning;
2)多路海量数据,通过视频接入服务器23可以同时接入多路数据,可在现有的网络通道上实现多路图片、视频的上传、存储、处理,为视频大数据处理提供数据基础;2) Multi-channel massive data, through the video access server 23, multiple channels of data can be simultaneously accessed, and multiple pictures and videos can be uploaded, stored, and processed on the existing network channel, providing a data foundation for video big data processing. ;
3)低部署成本。该平台基于现有设备部署,仅需在现有的监控网络系统20中增加若干台视频接入服务器23、在数据中心增加视频云端服务器11即可完成;3) Low deployment costs. The platform is based on the existing device deployment, and only needs to add a plurality of video access servers 23 in the existing monitoring network system 20, and add the video cloud server 11 in the data center to complete;
4)扩展性。该平台在功能、性能上均具有良好的扩展性,未来可在不改变硬件部署架构的情况下,根据需求快速定制增加新业务或扩容;4) Scalability. The platform has good scalability in terms of function and performance. In the future, it can quickly add new services or expand capacity according to requirements without changing the hardware deployment architecture.
5)统一接入。通过增加的视频接入服务器23,可兼容绝大部分品牌的摄像头21/NVR等设备,解决不同厂家设备统一接入的问题;5) Unified access. Through the added video access server 23, it can be compatible with most brands of cameras 21/NVR and other devices to solve the problem of unified access of devices from different manufacturers;
6)分发服务。通过增加的视频云端服务器11,可基于互联网提供图片、视频的分发服务,可发展成公众服务平台。整个解决方案可分为前端监控资源采集、监控资源接入、联网集中管理平台、图像资源存储以及图像资源共享平台建设等部分。6) Distribution services. Through the added video cloud server 11, the distribution service of pictures and videos can be provided based on the Internet, and can be developed into a public service platform. The whole solution can be divided into front-end monitoring resource collection, monitoring resource access, networked centralized management platform, image resource storage and image resource sharing platform construction.
以上所述仅为本发明的优选实施例,并非因此限制本发明的专利范围,凡是在本发明的发明构思下,利用本发明说明书及附图内容所作的等效结构变换,或直接/间接运用在其他相关的技术领域均包括在本发明的专利保护范围内。The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the invention, and the equivalent structural transformation, or direct/indirect use, of the present invention and the contents of the drawings are used in the inventive concept of the present invention. It is included in the scope of the patent protection of the present invention in other related technical fields.

Claims (7)

  1. 一种智慧监控云转码平台,其特征在于,所述智慧监控云转码平台包括数据中心网络系统以及至少一与所述数据中心网络系统网络连接的监控网络系统; A smart monitoring cloud transcoding platform, wherein the smart monitoring cloud transcoding platform comprises a data center network system and at least one monitoring network system connected to the data center network system network;
    所述监控网络系统包括至少一摄像头、与所述摄像头连接的网络硬盘录像机以及与所述网络硬盘录像机连接的视频接入服务器,所述摄像头用于采集实时的视频数据并上传至网络硬盘录像机,所述网络硬盘录像机用于对视频数据进行存储并上传至视频接入服务器,所述视频接入服务器用于对采集的实时视频数据进行统一编码并上传至数据中心网络系统;The monitoring network system includes at least one camera, a network hard disk recorder connected to the camera, and a video access server connected to the network hard disk recorder, wherein the camera is configured to collect real-time video data and upload it to a network hard disk recorder. The network hard disk recorder is configured to store and upload video data to a video access server, where the video access server is used to uniformly encode and upload the collected real-time video data to a data center network system;
    所述数据中心网络系统包括数据中心服务器及所述数据中心服务器网络连接的视频云端服务器,所述数据中心服务器用于对各监控网络系统上传的视频进行解码及监控管理,所述视频云端服务器用于对解码后的视频进行分发处理。 The data center network system includes a data center server and a video cloud server connected to the data center server network, where the data center server is used for decoding, monitoring, and managing video uploaded by each monitoring network system, where the video cloud server is used. The distribution process is performed on the decoded video.
  2. 如权利要求1所述的智慧监控云转码平台,其特征在于,所述数据中心网络系统还包括存储服务器,用于对上传的视频进行存储。The smart monitoring cloud transcoding platform of claim 1 , wherein the data center network system further comprises a storage server for storing the uploaded video.
  3. 如权利要求1所述的智慧监控云转码平台,其特征在于,所述数据中心网络系统还包括视频分析服务器,用于对解码后的视频进行区域分析,并当视频中存在警情时,显示报警信息并通过视频云端服务器将报警信息反馈至用户终端。The smart monitoring cloud transcoding platform of claim 1 , wherein the data center network system further comprises a video analysis server, configured to perform regional analysis on the decoded video, and when there is an alarm in the video, The alarm information is displayed and the alarm information is fed back to the user terminal through the video cloud server.
  4. 如权利要求3所述的智慧监控云转码平台,其特征在于,所述视频分析服务器包括警情参数设置单元,用于设定触发报警的警情信息。The smart monitoring cloud transcoding platform according to claim 3, wherein the video analysis server comprises an alarm parameter setting unit configured to set alarm information for triggering an alarm.
  5. 如权利要求1所述的智慧监控云转码平台,其特征在于,所述视频接入服务器包括视频拼接单元、与所述视频拼接单元连接的视频抽样单元以及与所述视频抽样单元连接的视频编码单元,所述视频拼接单元用于对各摄像头采集的实时视频进行拼接以获得全景图像,所述视频抽样单元用于对全景图像进行视频抽样形成待上传的目标视频;所述视频编码单元用于对待上传的目标视频进行统一编码。The smart monitoring cloud transcoding platform according to claim 1, wherein the video access server comprises a video splicing unit, a video sampling unit connected to the video splicing unit, and a video connected to the video sampling unit. a coding unit, the video splicing unit is configured to splicing real-time video collected by each camera 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; Uniform encoding of the target video to be uploaded.
  6. 如权利要求5所述的智慧监控云转码平台,其特征在于,所述视频抽样单元还用于每8帧图像的抽样周期对采集的图像进行抽样以形成待上传的目标视频。The smart monitoring cloud transcoding platform according to claim 5, wherein the video sampling unit is further configured to sample the collected image to form a target video to be uploaded every 8 frames of image sampling period.
  7. 如权利要求6所述的智慧监控云转码平台,其特征在于,所述视频抽样单元还用于从每8帧图像的抽样周期中选择一目标图片作为抽样图片,多个抽样图片形成待上传的目标视频。The smart monitoring cloud transcoding platform according to claim 6, wherein the video sampling unit is further configured to select a target picture as a sample picture from a sampling period of each 8 frames of images, and multiple sample pictures are formed to be uploaded. Target video.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112637552A (en) * 2020-11-24 2021-04-09 深圳市宇虹飞科技有限公司 Security protection video signal transmission system
CN112954266A (en) * 2019-12-11 2021-06-11 杭州海康威视数字技术股份有限公司 Data synchronization system and method
CN113114992A (en) * 2021-04-07 2021-07-13 黑龙江省交投千方科技有限公司 Intelligent video gateway, and expressway monitoring system and method
CN113283859A (en) * 2021-05-14 2021-08-20 西安交通大学 Edge platform system applied to edge computing management
CN114040168A (en) * 2021-11-16 2022-02-11 西安热工研究院有限公司 A intelligent electric power network monitoring mechanism for thermal power plant
CN114785988A (en) * 2022-04-11 2022-07-22 广东思域信息科技有限公司 High-definition video monitoring system and monitoring method based on cloud computing service
CN115243010A (en) * 2022-07-15 2022-10-25 浪潮通信信息系统有限公司 Bright kitchen scene intelligent detection system and device
CN116455905A (en) * 2023-06-14 2023-07-18 北京睿芯高通量科技有限公司 Camera scanning and access method based on cloud edge cooperative system

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CN111428179B (en) * 2020-03-19 2023-09-19 新方正控股发展有限责任公司 Picture monitoring method and device and electronic equipment
CN112511803A (en) * 2020-11-20 2021-03-16 济南浪潮高新科技投资发展有限公司 Water flow management system, method and equipment based on cloud edge end

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120075469A1 (en) * 2007-07-25 2012-03-29 Neo It Solutions Ltd. Internet visual surveillance and management technology for telecommunications, internet, cellular and other communications companies
CN202190350U (en) * 2011-06-24 2012-04-11 毛振刚 Remote digital video monitoring system
CN202907094U (en) * 2012-09-27 2013-04-24 西安元智系统技术有限责任公司 Wireless video monitoring system based on Internet of Things
CN103475865A (en) * 2013-09-12 2013-12-25 立昂技术股份有限公司 HD video monitoring and managing system based on cloud computing

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101609588A (en) * 2008-06-16 2009-12-23 云南正卓信息技术有限公司 Full-automatic anti-intrusion intelligent video monitoring alarm system for unattended villa
CN101448163A (en) * 2008-12-17 2009-06-03 香港应用科技研究院有限公司 Down-sampling method based on sub-pel and device therefor
US8503539B2 (en) * 2010-02-26 2013-08-06 Bao Tran High definition personal computer (PC) cam
CN202276424U (en) * 2011-10-18 2012-06-13 广州五舟信息科技有限公司 Monitor centralized storing system
CN105589927B (en) * 2015-11-28 2019-08-27 浙江宇视科技有限公司 A kind of video recording labeling method and device convenient for retrieval
CN105554447B (en) * 2015-12-11 2018-10-23 北京天地玛珂电液控制系统有限公司 A kind of coal working face real-time video splicing system based on image processing techniques

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120075469A1 (en) * 2007-07-25 2012-03-29 Neo It Solutions Ltd. Internet visual surveillance and management technology for telecommunications, internet, cellular and other communications companies
CN202190350U (en) * 2011-06-24 2012-04-11 毛振刚 Remote digital video monitoring system
CN202907094U (en) * 2012-09-27 2013-04-24 西安元智系统技术有限责任公司 Wireless video monitoring system based on Internet of Things
CN103475865A (en) * 2013-09-12 2013-12-25 立昂技术股份有限公司 HD video monitoring and managing system based on cloud computing

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112954266A (en) * 2019-12-11 2021-06-11 杭州海康威视数字技术股份有限公司 Data synchronization system and method
CN112637552A (en) * 2020-11-24 2021-04-09 深圳市宇虹飞科技有限公司 Security protection video signal transmission system
CN113114992A (en) * 2021-04-07 2021-07-13 黑龙江省交投千方科技有限公司 Intelligent video gateway, and expressway monitoring system and method
CN113283859A (en) * 2021-05-14 2021-08-20 西安交通大学 Edge platform system applied to edge computing management
CN114040168A (en) * 2021-11-16 2022-02-11 西安热工研究院有限公司 A intelligent electric power network monitoring mechanism for thermal power plant
CN114785988A (en) * 2022-04-11 2022-07-22 广东思域信息科技有限公司 High-definition video monitoring system and monitoring method based on cloud computing service
CN115243010A (en) * 2022-07-15 2022-10-25 浪潮通信信息系统有限公司 Bright kitchen scene intelligent detection system and device
CN116455905A (en) * 2023-06-14 2023-07-18 北京睿芯高通量科技有限公司 Camera scanning and access method based on cloud edge cooperative system
CN116455905B (en) * 2023-06-14 2023-08-15 北京睿芯高通量科技有限公司 Camera scanning and access method based on cloud edge cooperative system

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