WO2023134636A1 - 视频告警处理方法、装置、系统、存储介质及电子装置 - Google Patents

视频告警处理方法、装置、系统、存储介质及电子装置 Download PDF

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Publication number
WO2023134636A1
WO2023134636A1 PCT/CN2023/071387 CN2023071387W WO2023134636A1 WO 2023134636 A1 WO2023134636 A1 WO 2023134636A1 CN 2023071387 W CN2023071387 W CN 2023071387W WO 2023134636 A1 WO2023134636 A1 WO 2023134636A1
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alarm information
base station
video data
real
edge server
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PCT/CN2023/071387
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English (en)
French (fr)
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曾汉章
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中兴通讯股份有限公司
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Publication of WO2023134636A1 publication Critical patent/WO2023134636A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/90Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • 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
    • 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
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Definitions

  • Embodiments of the present disclosure relate to the communication field, and in particular, relate to a video alarm processing method, device, system, storage medium, and electronic device.
  • the existing technology uses 5G edge computing capabilities to realize the video surveillance system.
  • the edge server in each regional processing unit performs edge processing on the video data collected in the region, and the processing results are then processed. It continues to be uploaded to the video surveillance cloud center, which is managed by the video surveillance cloud center and implemented by upper-layer applications, so there are limitations. How to push alarm information in real time and accurately, and how to make better use of existing 5G cameras are issues that have been explored.
  • Embodiments of the present disclosure provide a video alarm processing method, device, system, storage medium, and electronic device to at least solve the problem in the related art that edge processing of video data is uploaded to a video monitoring cloud center for unified management.
  • a video alarm processing method is provided, which is applied to a base station, including:
  • a video alarm processing method applied to an edge server including:
  • a video alarm processing device is also provided, which is applied to a base station, including:
  • the transmission module is configured to transmit the received real-time video data to the edge server;
  • the first receiving module is configured to receive the alarm information sent by the edge server after determining that there is a preset event according to the real-time video data;
  • the sending module is configured to send the alarm information to the currently connected device, wherein the device is used to display the alarm information.
  • a video alarm processing device applied to an edge server including:
  • the second receiving module is configured to receive the real-time video data collected by the camera through the base station;
  • a determining module configured to determine whether a preset event exists according to the real-time video data
  • a sending module configured to send alarm information to the base station if there is a preset event, and the base station is used to send the alarm information to the currently connected device, wherein the device is used to display the alarm information .
  • a video alarm processing system including: a camera, a base station, and an edge server, wherein,
  • the camera is used to collect video data in real time with a preset time period, and send the collected real-time video data to the base station;
  • the base station is configured to transmit the received real-time video data to the edge server;
  • the edge server is configured to send alarm information to the base station after determining that a preset event exists according to the real-time video data;
  • the base station is further configured to deliver the alarm information to a currently connected device, where the device is configured to display the alarm information.
  • a computer-readable storage medium where a computer program is stored in the storage medium, wherein the computer program is set to execute any one of the above method embodiments when running in the steps.
  • an electronic device including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to perform any of the above Steps in the method examples.
  • FIG. 1 is a block diagram of a hardware structure of a mobile terminal of a video alarm processing method according to an embodiment of the present disclosure
  • FIG. 2 is a first flowchart of a video alarm processing method according to an embodiment of the present disclosure
  • FIG. 3 is a second flowchart of a video alarm processing method according to an embodiment of the present disclosure
  • FIG. 4 is a first block diagram of a video alarm processing system according to an embodiment of the present disclosure.
  • FIG. 5 is a second block diagram of a video alarm processing system according to an embodiment of the present disclosure.
  • FIG. 6 is a first block diagram of a video alarm processing device according to an embodiment of the present disclosure.
  • Fig. 7 is a second block diagram of a video alarm processing device according to an embodiment of the present disclosure.
  • FIG. 1 is a block diagram of the hardware structure of the mobile terminal according to the video alarm processing method of the embodiment of the present disclosure.
  • the mobile terminal may include one or more (only shown in FIG. 1 1)
  • Processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the above-mentioned mobile terminal may also include a communication function
  • the transmission device 106 and the input and output device 108 may be executed in mobile terminals, computer terminals or similar computing devices.
  • FIG. 1 is only for illustration, and it does not limit the structure of the above mobile terminal.
  • the mobile terminal may also include more or fewer components than those shown in FIG. 1 , or have a different configuration from that shown in FIG. 1 .
  • the memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the video alarm processing method in the embodiment of the present disclosure, and the processor 102 executes the computer program stored in the memory 104 to execute Various functional applications and service chain address pool slicing processing realize the above-mentioned method.
  • the memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory.
  • the memory 104 may further include a memory that is remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal through a network. Examples of the aforementioned networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the transmission device 106 is used to receive or transmit data via a network.
  • the specific example of the above network may include a wireless network provided by the communication provider of the mobile terminal.
  • the transmission device 106 includes a network interface controller (NIC for short), which can be connected to other network devices through a base station so as to communicate with the Internet.
  • the transmission device 106 may be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet in a wireless manner.
  • RF Radio Frequency
  • FIG. 2 is a flowchart 1 of the video alarm processing method according to an embodiment of the present disclosure.
  • the method The subject of execution is a base station, specifically a 5G base station, and the process includes the following steps:
  • Step S202 transmitting the received real-time video data to the edge server
  • step S202 what the base station receives is the video data collected by the camera in real time, and the video data specifically includes video files and audio files.
  • Step S204 receiving the alarm information sent by the edge server after determining that there is a preset event according to the real-time video data;
  • the preset event may specifically be a traffic accident, foreign object intrusion, etc.
  • the alarm information may specifically be accident alarm information, foreign object alarm information, and the like.
  • Step S206 sending the alarm information to the currently connected device, and the device is used to display the alarm information.
  • the device may be a 5G device, specifically a 5G terminal, a 5G vehicle-mounted device, etc.
  • the above step S206 may specifically include: obtaining the device identifier of the currently connected device, and sending the alarm information to the current device based on the device identifier. connected device.
  • the alarm information is transmitted back to the corresponding base station, and the base station sends the alarm information to the equipment within the coverage area.
  • the equipment displays the alarm information to provide early warning for the driver in the car, so as to avoid the recurrence of traffic accidents or the intrusion of foreign objects to cause traffic accidents.
  • the video alarm processing in this embodiment can be applied to the prediction of traffic accidents, and can also be used in other aspects, for example, safety warning and so on.
  • step S202 to S206 transmit the received real-time video data to the edge server; receive the alarm information sent after the edge server determines that there is a preset event according to the real-time video data; send the alarm information to the currently connected device, the device It is used to display alarm information, which can solve the problem of limitations in related technologies where video data is processed at the edge and uploaded to the video monitoring cloud center for unified management.
  • the video data is transmitted to the edge server in each area through the base station for analysis, and then sent to the Devices within the coverage area send alarm information to remind and avoid the recurrence of preset events or avoid more serious accidents caused by preset events, which improves the timeliness of alarm information processing.
  • the camera can provide the alarm information to other connected systems, thereby expanding the capabilities of the existing 5G wireless camera and providing intelligent analysis and alarm functions.
  • the alarm information is sent back to the camera, and the camera shares the alarm information with other systems connected to the camera, and other systems can extract the alarm information, so as to grasp the accident situation in a timely manner, thereby expanding the camera
  • the alarm capability enables ordinary cameras to have the ability of video analysis.
  • FIG. 3 is the second flow chart of the video alarm processing method according to the embodiment of the present disclosure.
  • the execution subject of this method is the edge
  • the server specifically a possible 5G edge server, specifically includes the following steps:
  • Step S302 receiving the real-time video data collected by the camera through the base station
  • the base station may specifically be a 5G base station, and the 5G base station receives video data collected by a 5G camera in real time, and the video data may specifically include video files and audio files.
  • Step S304 determining whether there is a preset event according to the real-time video data
  • the real-time video data is analyzed to obtain an analysis result, and it is determined whether there is a preset event according to the analysis result.
  • Preset events can specifically be traffic accidents, foreign objects (a group of sheep breaking into the road), etc.
  • real-time video data can be analyzed through a pre-trained analysis model, and traffic accident video analysis can include vehicle identification, cross-border, source of fire, delayed identification, etc.
  • a multi-dimensional analysis model is established from the aspects of vehicle identification, vehicle speed dynamic and static changes, lane crossing, fire source, smoke, road congestion, etc., multi-dimensional parameter levels are configured, and edge computing capabilities are used to identify traffic accidents and Distinguish between accident level and warning level.
  • Step S306 if there is a preset event, send alarm information to the base station, the base station is used to send the alarm information to the currently connected device, and the device is used to display the alarm information.
  • the device in this embodiment may specifically be a 5G device, and the 5G device displays the alarm information after receiving it, so as to prompt the user.
  • the base station receives the real-time video data collected by the camera; when it is determined that there is a preset event according to the real-time video data, an alarm message is sent to the base station, and the base station sends the alarm message to the currently connected device, To enable the device to display alarm information, it can solve the problem of limitations in related technologies where video data is processed at the edge and uploaded to the video monitoring cloud center for unified management.
  • the base station transmits the video data to the edge server in each area for analysis, and then the base station Send alarm information to the equipment within the coverage area to remind and avoid the occurrence of secondary accidents, and improve the timeliness of alarm information processing.
  • the alarm information can also be sent to the central cloud server, so that the central cloud server can cache the alarm information and perform unified processing on the accident alarm.
  • the ability of the video surveillance system is fully utilized, the timeliness of alarm information is improved, the alarm information is accurately delivered to the designated 5G equipment, and the alarm information is sent back to the 5G camera to expand the alarm capability of the camera.
  • Ordinary cameras have the capability of video analysis.
  • FIG. 4 is a block diagram 1 of a video alarm processing system according to an embodiment of the present disclosure. As shown in FIG. 4 , it includes: a camera, a base station, and an edge server ,in,
  • the camera is used to collect video data in real time with a preset time period, and send the collected real-time video data to the base station;
  • the base station is used to transmit the received real-time video data to the edge server;
  • the edge server is configured to send alarm information to the base station after determining the existence of a preset event according to the real-time video data;
  • the base station is also used to send the alarm information to the currently connected device, and the device is used to display the alarm information.
  • the base station is also used to obtain the device identifier of the currently accessed device, and send the alarm information to the currently accessed device according to the device identifier.
  • the device may specifically be a 5G device, and the base station may specifically be a 5G base station ,
  • the 5G base station sends alarm information to the 5G equipment within the coverage area, and the equipment displays the alarm information to provide early warning for the corresponding users of the equipment, so as to avoid the recurrence of preset events or avoid more serious accidents caused by preset events.
  • the base station is also used to send the alarm information back to the camera; the camera is also used to share the alarm information with the system connected to the camera.
  • the camera can be a 5G camera, and the alarm information can be sent back to the 5G wireless camera that provides corresponding real-time video in real time.
  • the camera can provide the alarm information to other connected systems, so as to expand the capabilities of the existing 5G wireless camera. Provide intelligent analysis and alarm function.
  • the edge server is further configured to send the alarm information to the central cloud server, which may specifically be sent while sending the alarm information to the base station, or after or before sending the alarm information to the base station; and/or
  • the real-time video data is analyzed, the analysis result is obtained, and whether there is a preset event is determined according to the analysis result.
  • Fig. 5 is a block diagram 2 of a video alarm processing system according to an embodiment of the present disclosure. As shown in Fig. 5 , it includes a 5G camera, a 5G base station transceiver module, a 5G edge server, a central cloud server, and a 5G device, wherein the 5G camera is used to collect Real-time video, and transmit the collected video data to the 5G base station transceiver module. At the same time, the 5G camera can also receive the alarm information returned by the 5G base station transceiver module. The 5G camera can share this information with other connected systems.
  • the transceiver module of the 5G base station is mainly used to realize the following functions: transmit the received video data to the 5G edge server; send the alarm information received from the 5G edge server back to the 5G camera; The alarm information received by the 5G edge server is sent to the 5G device;
  • the 5G edge server deploys an edge video analysis system to analyze the received real-time video and send the analyzed alarm information to the 5G base station transceiver module and the central cloud server.
  • the central cloud server deploys the central video monitoring system to receive alarm information from the 5G edge server.
  • the 5G device is used to display the warning information received from the transceiver module of the 5G base station to remind the driver.
  • the 5G camera sends the collected real-time video data to the transceiver module of the 5G base station, and the transceiver module of the 5G base station then sends the video data to the 5G edge server.
  • the 5G edge server performs video analysis and analyzes the traffic warning information.
  • the alarm information is sent to the central cloud server and the transceiver module of the 5G base station at the same time; the transceiver module of the 5G base station sends the alarm information back to the 5G camera, and the 5G camera can share the alarm information with other connected systems.
  • the transceiver module of the 5G base station identifies the currently connected 5G device, sends the alarm information to the 5G device, and the 5G device completes the display of the alarm information to realize the early warning.
  • FIG. 6 is a block diagram 1 of a video alarm processing device according to an embodiment of the present disclosure. As shown in FIG. 6 , it includes:
  • the transmission module 62 is configured to transmit the received real-time video data to the edge server;
  • the first receiving module 64 is configured to receive the alarm information sent by the edge server after determining that there is a preset event according to the real-time video data;
  • the sending module 66 is configured to send the alarm information to the currently connected device, and the device is used to display the alarm information.
  • the content in the embodiment of the video processing method shown in Figure 2 is applicable to the embodiment of the video processing method device, and the functions specifically realized by the embodiment of the video alarm processing device in Figure 6 are the same as those shown in Figure 2
  • the embodiment of the video processing method is the same, and the beneficial effect achieved is the same as that achieved by the embodiment of the video processing method shown in FIG. 2 .
  • the sending module 66 is further configured to acquire the device identifier of the currently accessed device; and send the alarm information to the currently accessed device according to the device identifier.
  • the above device further includes: a return module configured to send the alarm information back to the camera, and the camera is used to share the alarm information with a system connected to the camera.
  • FIG. 7 is a block diagram 2 of a video alarm processing device according to an embodiment of the present disclosure. As shown in FIG. 7 , it includes:
  • the second receiving module 72 is configured to receive the real-time video data collected by the camera through the base station;
  • Determining module 74 is configured to determine whether there is a preset event according to the real-time video data
  • the sending module 76 is configured to send alarm information to the base station if there is a preset event, and the base station is used to send the alarm information to the currently connected device, and the device is used to display the alarm information.
  • the sending module 76 is further configured to send alarm information to the central cloud server.
  • the determination module 74 is further configured to analyze the real-time video data to obtain an analysis result; and determine whether there is a preset event according to the analysis result.
  • Embodiments of the present disclosure also provide a computer-readable storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
  • the above-mentioned computer-readable storage medium may include but not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM) , mobile hard disk, magnetic disk or optical disk and other media that can store computer programs.
  • ROM read-only memory
  • RAM random access memory
  • mobile hard disk magnetic disk or optical disk and other media that can store computer programs.
  • Embodiments of the present disclosure also provide an electronic device, including a memory and a processor, where a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.
  • the electronic device may further include a transmission device and an input and output device, wherein the transmission device is connected to the processor, and the input and output device is connected to the processor.
  • each module or each step of the above-mentioned disclosure can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network composed of multiple computing devices In fact, they can be implemented in program code executable by a computing device, and thus, they can be stored in a storage device to be executed by a computing device, and in some cases, can be executed in an order different from that shown here. Or described steps, or they are fabricated into individual integrated circuit modules, or multiple modules or steps among them are fabricated into a single integrated circuit module for implementation. As such, the present disclosure is not limited to any specific combination of hardware and software.

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Abstract

本公开实施例提供了一种视频告警处理方法、装置、系统、存储介质及电子装置,该方法包括:将接收的实时视频数据传输给边缘服务器;接收边缘服务器根据实时视频数据确定存在预设事件之后发送的告警信息;将该告警信息下发给当前接入的设备,该设备用于展示告警信息,可以解决相关技术中视频数据进行边缘处理上传给视频监控云中心统一管理存在局限性的问题,通过基站将视频数据传输到每个区域的边缘服务器进行分析,再由基站向覆盖范围内的设备下发告警信息,提醒并避免预设事件再次发生或避免由于预设事件引起更严重的事故,提高了告警信息处理的及时性。

Description

视频告警处理方法、装置、系统、存储介质及电子装置
相关申请的交叉引用
本公开基于2022年01月12日提交的发明名称为“视频告警处理方法、装置、系统、存储介质及电子装置”的中国专利申请CN202210033890.0,并且要求该专利申请的优先权,通过引用将其所公开的内容全部并入本公开。
技术领域
本公开实施例涉及通信领域,具体而言,涉及一种视频告警处理方法、装置、系统、存储介质及电子装置。
背景技术
现有技术利用5G边缘计算能力实现的视频监控系统,通过对应不同的区域分布设置区域处理单元,每一个区域处理单元中的边缘服务器对该区域中所采集的视频数据进行边缘处理,处理结果再继续向上传给视频监控云中心,由视频监控云中心统一管理以及上层应用实现,存在局限性。如何让告警信息即时精准推送,如何更好的利用现有5G摄像头是一直在探索的问题。
针对相关技术中视频数据进行边缘处理上传给视频监控云中心统一管理存在局限性的问题,尚未提出解决方案。
发明内容
本公开实施例提供了一种视频告警处理方法、装置、系统、存储介质及电子装置,以至少解决相关技术中视频数据进行边缘处理上传给视频监控云中心统一管理存在局限性的问题。
根据本公开的一个实施例,提供了一种视频告警处理方法,应用于基站,包括:
将接收的实时视频数据传输给边缘服务器;
接收所述边缘服务器根据所述实时视频数据确定存在预设事件之后发送的告警信息;
将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
根据本公开的另一个实施例,还提供了一种视频告警处理方法,应用于边缘服务器,包括:
通过基站接收摄像头采集的实时视频数据;
根据所述实时视频数据确定是否存在预设事件;
若存在预设事件,向所述基站发送告警信息,所述基站用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
根据本公开的另一个实施例,还提供了一种视频告警处理装置,应用于基站,包括:
传输模块,设置为将接收的实时视频数据传输给边缘服务器;
第一接收模块,设置为接收所述边缘服务器根据所述实时视频数据确定存在预设事件之后发送的告警信息;
下发模块,设置为将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
根据本公开的另一个实施例,还提供了一种视频告警处理装置,应用于边缘服务器,包括:
第二接收模块,设置为通过基站接收摄像头采集的实时视频数据;
确定模块,设置为根据所述实时视频数据确定是否存在预设事件;
发送模块,设置为若存在预设事件,向所述基站发送告警信息,所述基站用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
根据本公开的又一个实施例,还提供了一种视频告警处理系统,包括:摄像头、基站以及边缘服务器,其中,
所述摄像头,用于以预设时间周期实时采集视频数据,并将采集的实时视频数据发送给所述基站;
所述基站,用于将接收的所述实时视频数据传输给所述边缘服务器;
所述边缘服务器,用于根据所述实时视频数据确定存在预设事件之后,向所述基站发送告警信息;
所述基站,还用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
根据本公开的又一个实施例,还提供了一种计算机可读的存储介质,所述存储介质中存储有计算机程序,其中,所述计算机程序被设置为运行时执行上述任一项方法实施例中的步骤。
根据本公开的又一个实施例,还提供了一种电子装置,包括存储器和处理器,所述存储器中存储有计算机程序,所述处理器被设置为运行所述计算机程序以执行上述任一项方法实施例中的步骤。
附图说明
图1是本公开实施例的视频告警处理方法的移动终端的硬件结构框图;
图2是根据本公开实施例的视频告警处理方法的流程图一;
图3是根据本公开实施例的视频告警处理方法的流程图二;
图4是根据本公开实施例的视频告警处理系统的框图一;
图5是根据本公开实施例的视频告警处理系统的框图二;
图6是根据本公开实施例的视频告警处理装置的框图一;
图7是根据本公开实施例的视频告警处理装置的框图二。
具体实施方式
下文中将参考附图并结合实施例来详细说明本公开的实施例。
需要说明的是,本公开的说明书和权利要求书及上述附图中的术语“第一”、“第二”等 是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。
本公开实施例中所提供的方法实施例可以在移动终端、计算机终端或者类似的运算装置中执行。以运行在移动终端上为例,图1是本公开实施例的视频告警处理方法的移动终端的硬件结构框图,如图1所示,移动终端可以包括一个或多个(图1中仅示出一个)处理器102(处理器102可以包括但不限于微处理器MCU或可编程逻辑器件FPGA等的处理装置)和用于存储数据的存储器104,其中,上述移动终端还可以包括用于通信功能的传输设备106以及输入输出设备108。本领域普通技术人员可以理解,图1所示的结构仅为示意,其并不对上述移动终端的结构造成限定。例如,移动终端还可包括比图1中所示更多或者更少的组件,或者具有与图1所示不同的配置。
存储器104可用于存储计算机程序,例如,应用软件的软件程序以及模块,如本公开实施例中的视频告警处理方法对应的计算机程序,处理器102通过运行存储在存储器104内的计算机程序,从而执行各种功能应用以及业务链地址池切片处理,即实现上述的方法。存储器104可包括高速随机存储器,还可包括非易失性存储器,如一个或者多个磁性存储装置、闪存、或者其他非易失性固态存储器。在一些实例中,存储器104可进一步包括相对于处理器102远程设置的存储器,这些远程存储器可以通过网络连接至移动终端。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
传输装置106用于经由一个网络接收或者发送数据。上述的网络具体实例可包括移动终端的通信供应商提供的无线网络。在一个实例中,传输装置106包括一个网络适配器(Network Interface Controller,简称为NIC),其可通过基站与其他网络设备相连从而可与互联网进行通讯。在一个实例中,传输装置106可以为射频(Radio Frequency,简称为RF)模块,其用于通过无线方式与互联网进行通讯。
在本实施例中提供了一种运行于上述移动终端或网络架构的视频告警处理方法,图2是根据本公开实施例的视频告警处理方法的流程图一,如图2所示,该方法的执行主体是基站,具体可以是5G基站,该流程包括如下步骤:
步骤S202,将接收的实时视频数据传输给边缘服务器;
上述步骤S202中,基站接收的是摄像头实时采集的视频数据,视频数据具体包括视频文件和音频文件。
步骤S204,接收边缘服务器根据实时视频数据确定存在预设事件之后发送的告警信息;
本实施例中,预设事件具体可以是交通事故,异物闯入等,对应的,告警信息具体可以是事故告警信息、异物告警信息等。
步骤S206,将告警信息下发给当前接入的设备,该设备用于展示告警信息。
本实施例中,设备可以是5G设备,具体可以是5G终端、5G车载设备等,上述步骤S206具体可以包括:获取当前接入的设备的设备标识,基于该设备标识将告警信息下发给当前接入的设备。告警信息回传对应的基站,基站对覆盖范围内的设备下发告警信息,设备展示告警信息为车内司机提供预警,避免交通事故再次发生或者,避免异物闯入引起交通事故。
本实施例中的视频告警处理可以应用于交通事故的预计,也可以用于其他方面,例如,安全预警等。
通过上述步骤S202至S206,将接收的实时视频数据传输给边缘服务器;接收边缘服务器根据实时视频数据确定存在预设事件之后发送的告警信息;将告警信息下发给当前接入的 设备,该设备用于展示告警信息,可以解决相关技术中视频数据进行边缘处理上传给视频监控云中心统一管理存在局限性的问题,通过基站将视频数据传输到每个区域的边缘服务器进行分析,再由基站向覆盖范围内的设备下发告警信息,提醒并避免预设事件再次发生或避免由于预设事件引起更严重的事故,提高了告警信息处理的及时性。
通过将告警信息即时回传提供对应实时视频数据的5G无线摄像头,摄像头可以将告警信息提供给其他接入的系统使用,从而实现将现有5G无线摄像头的能力扩展,提供智能分析告警功能。对应的,在上述步骤S204之后,将告警信息回传给摄像头,摄像头将该告警信息共享给摄像头接入的其他系统,其他系统便可提取该告警信息,从而及时地掌握事故情况,从而扩展摄像头的告警能力,让普通摄像头具备视频分析的能力。
根据本公开的另一个实施例,还提供了一种视频告警处理方法,图3是根据本公开实施例的视频告警处理方法的流程图二,如图3所示,该方法的执行主体是边缘服务器,具体可以的5G边缘服务器,具体包括以下步骤:
步骤S302,通过基站接收摄像头采集的实时视频数据;
本实施例中,基站具体可以是5G基站,5G基站接收5G摄像头实时采集的视频数据,视频数据具体可以包括视频文件和音频文件。
步骤S304,根据实时视频数据确定是否存在预设事件;
本实施例中,上述步骤S304中,对实时视频数据进行分析,得到分析结果,根据该分析结果确定是否存在预设事件。预设事件具体可以是交通事故、外来异物(一群羊闯入马路)等,具体可以通过预先训练好的分析模型对实时视频数据进行分析,具体进行交通事故视频分析,可以包括车辆识别,越界,火源,延误识别等。通过对现有算法能力的优化整合,从车辆识别、车速动静变化、车道越界、火源、烟雾、道路拥堵等方面建立多维分析模型,配置多维参数等级,利用边缘计算能力,以识别交通事故并区分事故等级和预警等级。
步骤S306,若存在预设事件,向基站发送告警信息,该基站用于将告警信息下发给当前接入的设备,该设备用于展示告警信息。
本实施例中的设备具体可以是5G设备,5G设备接收到告警信息之后进行显示,以便提示用户。
通过上述步骤S302至S306,通过基站接收摄像头采集的实时视频数据;根据实时视频数据确定存在预设事件的情况下,向基站发送告警信息,该基站将告警信息下发给当前接入的设备,以使设备展示告警信息,可以解决相关技术中视频数据进行边缘处理上传给视频监控云中心统一管理存在局限性的问题,通过基站将视频数据传输到每个区域的边缘服务器进行分析,再由基站向覆盖范围内的设备下发告警信息,提醒并避免二次事故的发生,提高了告警信息处理的及时性。
在一些实施例中,还可以向中心云服务器发送告警信息,便中心云服务器缓存告警信息, 对事故告警进行统一处理。
基于5G设备和5G边缘服务器计算,充分发挥视频监控系统的能力,提升告警信息的及时性,精准下发告警信息到指定5G设备,同时将告警信息回传5G摄像头从而扩展摄像头的告警能力,让普通摄像头具备视频分析的能力。
根据本公开的又一个实施例,还提供了一种视频告警处理系统,图4是根据本公开实施例的视频告警处理系统的框图一,如图4所示,包括:摄像头、基站以及边缘服务器,其中,
摄像头,用于以预设时间周期实时采集视频数据,并将采集的实时视频数据发送给基站;
基站,用于将接收的实时视频数据传输给边缘服务器;
边缘服务器,用于根据实时视频数据确定存在预设事件之后,向基站发送告警信息;
基站,还用于将告警信息下发给当前接入的设备,该设备用于展示告警信息。
在一些实施例中,基站,还用于获取当前接入的设备的设备标识,根据该设备标识将告警信息下发给当前接入的设备,设备具体可以是5G设备,基站具体可以是5G基站,5G基站对覆盖范围内的5G设备下发告警信息,设备展示告警信息为设备对应的用户提供预警,避免预设事件再次发生或避免由于预设事件引起更严重的事故。
在一些实施例中,基站,还用于将告警信息回传给摄像头;摄像头,还用于将告警信息共享给摄像头接入的系统。具体的,摄像头可以为5G摄像头,告警信息即时回传给提供对应实时视频的5G无线摄像头,摄像头可以将告警信息提供给其他接入的系统使用,从而实现将现有5G无线摄像头的能力扩展,提供智能分析告警功能。
在一些实施例中,边缘服务器,还用于向中心云服务器发送告警信息,具体可以是在向基站发送告警信息的同时发送,也可以在向基站发送告警信息之后或之前发送;和/或
对实时视频数据进行分析,得到分析结果,根据分析结果确定是否存在预设事件。
图5是根据本公开实施例的视频告警处理系统的框图二,如图5所示,包括5G摄像头、5G基站收发模块、5G边缘服务器、中心云服务器、5G设备,其中,5G摄像机用于采集实时视频,并将采集的视频数据传输到5G基站收发模块,同时5G摄像机也可以接收5G基站收发模块回传的告警信息,5G摄像机可以将此信息共享给其他接入的系统。
5G基站的收发模块主要用于实现以下功能:将接收的视频数据传输给5G边缘服务器;将从5G边缘服务器接收的告警信息,回传给5G摄像头;识别当前基站接入的5G设备,将从5G边缘服务器接收的告警信息,下发给5G设备;
5G边缘服务器部署边缘视频分析系统,对接收到实时视频进行分析,并将分析出的告警信息发送给5G基站收发模块和中心云服务器。
中心云服务器部署中心视频监控系统,接收来自5G边缘服务器的告警信息。
5G设备用于将从5G基站收发模块接收到的告警信息进行展示,提醒司机。
基于上述系统,5G摄像头将采集的实时视频数据发送给5G基站的收发模块,5G基站的收发模块再将该视频数据发送给5G边缘服务器,5G边缘服务器进行视频分析,分析出交通告警信息后,将告警信息同时发送给中心云服务器和5G基站的收发模块;5G基站的收发模块将告警信息回传5G摄像头,5G摄像头可以将该告警信息共享给其他接入的系统。5G基站的收发模块识别当前接入的5G设备,将告警信息下发到5G设备,5G设备完成告警信息的展 示实现预警。
根据本公开的另一个实施例,还提供了一种视频告警处理装置,应用于基站,图6是根据本公开实施例的视频告警处理装置的框图一,如图6所示,包括:
传输模块62,设置为将接收的实时视频数据传输给边缘服务器;
第一接收模块64,设置为接收边缘服务器根据实时视频数据确定存在预设事件之后发送的告警信息;
下发模块66,设置为将告警信息下发给当前接入的设备,该设备用于展示告警信息。
可以理解的是,图2所示的视频处理方法实施例中的内容均适用于本视频处理方法装置实施例中,图6中的视频告警处理装置实施例所具体实现的功能与图2所示的视频处理方法实施例相同,并且达到的有益效果与图2所示的视频处理方法实施例所达到的有益效果也相同。
在一示例性实施例中,下发模块66,还设置为获取当前接入的设备的设备标识;根据设备标识将告警信息下发给当前接入的设备。
在一示例性实施例中,上述装置还包括:回传模块,设置为将告警信息回传给摄像头,该摄像头用于将告警信息共享给摄像头接入的系统。
根据本公开的另一个实施例,还提供了一种视频告警处理装置,应用于边缘服务器,图7是根据本公开实施例的视频告警处理装置的框图二,如图7所示,包括:
第二接收模块72,设置为通过基站接收摄像头采集的实时视频数据;
确定模块74,设置为根据实时视频数据确定是否存在预设事件;
发送模块76,设置为若存在预设事件,向基站发送告警信息,该基站用于将告警信息下发给当前接入的设备,该设备用于展示告警信息。
可以理解的是,图3所示的视频处理方法实施例中的内容均适用于本视频处理方法装置实施例中,图7中的视频告警处理装置实施例所具体实现的功能与图3所示的视频处理方法实施例相同,并且达到的有益效果与图3所示的视频处理方法实施例所达到的有益效果也相同。
在一示例性实施例中,发送模块76,还设置为向中心云服务器发送告警信息。
在一示例性实施例中,确定模块74,还设置为对实时视频数据进行分析,得到分析结果;根据分析结果确定是否存在预设事件。
本公开的实施例还提供了一种计算机可读存储介质,该计算机可读存储介质中存储有计算机程序,其中,该计算机程序被设置为运行时执行上述任一项方法实施例中的步骤。
在一个示例性实施例中,上述计算机可读存储介质可以包括但不限于:U盘、只读存储器(Read-Only Memory,简称为ROM)、随机存取存储器(Random Access Memory,简称为RAM)、移动硬盘、磁碟或者光盘等各种可以存储计算机程序的介质。
本公开的实施例还提供了一种电子装置,包括存储器和处理器,该存储器中存储有计算机程序,该处理器被设置为运行计算机程序以执行上述任一项方法实施例中的步骤。
在一个示例性实施例中,上述电子装置还可以包括传输设备以及输入输出设备,其中,该传输设备和上述处理器连接,该输入输出设备和上述处理器连接。
本实施例中的具体示例可以参考上述实施例及示例性实施方式中所描述的示例,本实施例在此不再赘述。
显然,本领域的技术人员应该明白,上述的本公开的各模块或各步骤可以用通用的计算装置来实现,它们可以集中在单个的计算装置上,或者分布在多个计算装置所组成的网络上,它们可以用计算装置可执行的程序代码来实现,从而,可以将它们存储在存储装置中由计算装置来执行,并且在某些情况下,可以以不同于此处的顺序执行所示出或描述的步骤,或者将它们分别制作成各个集成电路模块,或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样,本公开不限制于任何特定的硬件和软件结合。
以上所述仅为本公开的优选实施例而已,并不用于限制本公开,对于本领域的技术人员来说,本公开可以有各种更改和变化。凡在本公开的原则之内,所作的任何修改、等同替换、改进等,均应包含在本公开的保护范围之内。

Claims (14)

  1. 一种视频告警处理方法,应用于基站,包括:
    将接收的实时视频数据传输给边缘服务器;
    接收所述边缘服务器根据所述实时视频数据确定存在预设事件之后发送的告警信息;
    将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
  2. 根据权利要求1所述的方法,其中,将所述告警信息下发给当前接入的设备包括:
    获取当前接入的所述设备的设备标识;
    根据所述设备标识将所述告警信息下发给所述当前接入的所述设备。
  3. 根据权利要求1所述的方法,其中,在接收所述边缘服务器根据所述实时视频数据确定存在预设事件之后发送的告警信息之后,所述方法还包括:
    将所述告警信息回传给摄像头,其中,所述摄像头用于将所述告警信息共享给所述摄像头接入的系统。
  4. 一种视频告警处理方法,应用于边缘服务器,包括:
    通过基站接收摄像头采集的实时视频数据;
    根据所述实时视频数据确定是否存在预设事件;
    若存在预设事件,向所述基站发送告警信息,所述基站用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
  5. 根据权利要求4所述的方法,其中,所述方法还包括:
    向中心云服务器发送所述告警信息。
  6. 根据权利要求4所述的方法,其中,根据所述实时视频数据确定是否存在预设事件包括:
    对所述实时视频数据进行分析,得到分析结果;
    根据所述分析结果确定是否存在所述预设事件。
  7. 一种视频告警处理装置,应用于基站,包括:
    传输模块,设置为将接收的实时视频数据传输给边缘服务器;
    第一接收模块,设置为接收所述边缘服务器根据所述实时视频数据确定存在预设事件之后发送的告警信息;
    下发模块,设置为将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
  8. 一种视频告警处理装置,应用于边缘服务器,包括:
    第二接收模块,设置为通过基站接收摄像头采集的实时视频数据;
    确定模块,设置为根据所述实时视频数据确定是否存在预设事件;
    发送模块,设置为若存在预设事件,向所述基站发送告警信息,所述基站用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
  9. 一种视频告警处理系统,包括:摄像头、基站以及边缘服务器,其中,
    所述摄像头,用于以预设时间周期实时采集视频数据,并将采集的实时视频数据发送给所述基站;
    所述基站,用于将接收的所述实时视频数据传输给所述边缘服务器;
    所述边缘服务器,用于根据所述实时视频数据确定存在预设事件之后,向所述基站发送告警信息;
    所述基站,还用于将所述告警信息下发给当前接入的设备,其中,所述设备用于展示所述告警信息。
  10. 根据权利要求9所述的系统,其中,
    所述基站,还用于获取当前接入的所述设备的设备标识,根据所述设备标识将所述告警信息下发给所述当前接入的所述设备。
  11. 根据权利要求9所述的系统,其中,
    所述基站,还用于将所述告警信息回传给摄像头;
    所述摄像头,还用于将所述告警信息共享给所述摄像头接入的系统。
  12. 根据权利要求9所述的系统,其中,
    所述边缘服务器,还用于向所述基站发送所述告警信息的同时,向中心云服务器发送所述告警信息;和/或
    对所述实时视频数据进行分析,得到分析结果,根据所述分析结果确定是否存在所述预设事件。
  13. 一种计算机可读的存储介质,所述存储介质中存储有计算机程序,其中,所述计算机程序被设置为运行时执行所述权利要求1至3任一项中所述的方法或所述权利要求4至6任一项中所述的方法。
  14. 一种电子装置,包括存储器和处理器,所述存储器中存储有计算机程序,所述处理器被设置为运行所述计算机程序以执行所述权利要求1至3任一项中所述的方法或所述权利要求4至6任一项中所述的方法。
PCT/CN2023/071387 2022-01-12 2023-01-09 视频告警处理方法、装置、系统、存储介质及电子装置 WO2023134636A1 (zh)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109639797A (zh) * 2018-12-12 2019-04-16 深圳市中电数通智慧安全科技股份有限公司 一种智慧安全监管系统
WO2020188895A1 (ja) * 2019-03-18 2020-09-24 日本電気株式会社 エッジコンピューティングサーバ、制御方法、及び非一時的なコンピュータ可読媒体
CN113452961A (zh) * 2021-06-21 2021-09-28 上海鹰觉科技有限公司 基于边缘计算的水面监控告警系统和方法、介质
CN113691390A (zh) * 2021-07-13 2021-11-23 中国电力科学研究院有限公司 一种云端协同的边缘节点报警系统及方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109639797A (zh) * 2018-12-12 2019-04-16 深圳市中电数通智慧安全科技股份有限公司 一种智慧安全监管系统
WO2020188895A1 (ja) * 2019-03-18 2020-09-24 日本電気株式会社 エッジコンピューティングサーバ、制御方法、及び非一時的なコンピュータ可読媒体
CN113452961A (zh) * 2021-06-21 2021-09-28 上海鹰觉科技有限公司 基于边缘计算的水面监控告警系统和方法、介质
CN113691390A (zh) * 2021-07-13 2021-11-23 中国电力科学研究院有限公司 一种云端协同的边缘节点报警系统及方法

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