KR20210085609A - video surveillance system by use of core VMS and edge VMS in mobile edge computing - Google Patents

Abstract

The present invention relates generally to a video surveillance system based on mobile edge computing (MEC) that quickly processes real-time video data generated from mobile devices such as CCTV cameras, drones, smart terminals, and vehicle black boxes and provides a surveillance service using the information obtained therefrom. In particular, the present invention relates to a video surveillance system based on mobile edge computing that adopts a dual resource operation method in which computing resources are layered into edge and core, allows an edge VMS to perform real-time processing of metadata that requires immediate response through management of large-capacity data, image analysis, and situational awareness, allows a core VMS to store and manage various metadata collected from multiple edges and perform context analysis and data visualization, and making decisions based thereon, thereby achieving utilization of distributed local resources and improvement of operational efficiency. According to the present invention, by adopting dual resource operation in which the computing resources of a video surveillance system are layered into an edge and a core, there are advantages in that large-capacity remote data generated in real time from a mobile device can be utilized for surveillance purpose and the management efficiency of the video surveillance system can be improved. The video surveillance system includes a mobile edge computing (MEC) cloud system and a core cloud system.

Description

{video surveillance system by use of core VMS and edge VMS in mobile edge computing}

The present invention is based on mobile edge computing (MEC), which generally processes real-time image data generated from mobile devices such as CCTV cameras, drones, smart terminals, and vehicle black boxes and provides a control service using the information obtained therefrom. of the video control system.

In particular, the present invention adopts a dual resource operation method in which computing resources are layered into edges and cores, so that in Edge VMS, it is real-time of metadata that requires immediate response through management of large amounts of data, image analysis, and situational awareness. By executing processing rules and configuring to store and manage various metadata collected from multiple edges, context analysis, data visualization, and decision making based on this, the core VMS achieves utilization of distributed local resources and improvement of operational efficiency It is related to a video control system based on a mobile edge computing.

Recently, in the field of information and communication technology (ICT), interest in edge computing is high. Edge computing is a concept that gives computational processing performance to the edge region of the system, that is, the edge. This 'edge' may be a device, a machine, or a thing. Because edge computing technology can make complex decisions on its own without an internet connection, there is a lot of interest in fields that require real-time responses, such as autonomous driving, smart factories, and virtual reality (VR). In this case, when a device that generates data has a mobile property, it is called 'mobile edge computing (MEC)'.

Recently, various devices with mobile properties, such as mobile CCTV cameras, drones, smart terminals (smartphones), vehicle black boxes, etc., have been disseminated for their own needs, and a large amount of data is generated from them. have. Since the video data (video stream) they generate contains useful information, it will be useful for control purposes if the data is processed quickly to obtain useful information from it and respond immediately accordingly. For example, by analyzing video data, it is intended to quickly determine an emergency situation, a crime situation, or a disaster situation, so that 112, 119, etc. can be dispatched to the scene immediately.

In particular, as mobile networks become more advanced, including 5G, discussions are expected on various service models that utilize data generated at the mobile edge. For example, drone control, citizen participation-type video reporting, mobile CCTV control, and service models that utilize data from autonomous vehicles are available. In order to build a video control system using mobile edge computing, it is necessary to quickly and effectively process large-scale real-time video data generated in real time from multiple mobile devices, and a platform technology that can effectively utilize this information is required.

An object of the present invention is to rapidly process real-time image data generated from mobile devices, such as CCTV cameras, drones, smart terminals, and vehicle black boxes, in general, and provide a control service using the information obtained therefrom. To provide a video control system.

In particular, it is an object of the present invention to adopt a dualized resource operation method in which computing resources are layered into edge and core, so that in the edge VMS, real-time processing rules for metadata that require immediate response through management of large amounts of data, image analysis, and situational awareness In the core VMS, it is a mobile edge computing based mobile edge computing that achieves utilization of distributed local resources and improvement of operational efficiency by storing and managing various metadata collected from multiple edges, performing context analysis and data visualization, and making decisions based on them. To provide a video control system.

On the other hand, the problem to be solved of the present invention is not limited to these matters and other problems to be solved can be understood from the description of the present specification.

In order to achieve the above object, the present invention receives and analyzes real-time image data generated by a group of mobile devices 10 geographically located in its own area through a network, and analyzes and processes the real-time image data according to the analysis result. A mobile edge computing (MEC) cloud system configured to deliver metadata to the core cloud system 200 and process the analysis information so that actions can be taken on the spot when it is determined that it is a preset emergency by the image analysis result 100); A core that receives and manages real-time image data and metadata from a plurality of geographically dispersed MEC cloud systems 100, and performs at least one of context analysis, data visualization, and decision-making based on the collected metadata It provides a mobile edge computing-based video control system having a core VMS and an edge VMS configured to include; the cloud system 200 .

In the present invention, the mobile edge computing (MEC) cloud system 100 receives real-time image data from a group of mobile devices 10 belonging to the corresponding MEC cloud, stores large-capacity images, generates metadata through image analysis, recognizes the situation and and an edge VMS system 110 that performs a response and relays and distributes real-time image data generated in the corresponding MEC cloud to the edge image processing system 120 and the core cloud system 200 belonging to the same MEC cloud.

In addition, in the present invention, the core cloud system 200 records and stores real-time image data and metadata that are transmitted and collected from a plurality of edge VMS systems 110 to the core cloud system 200, and context analysis based on the metadata, and a core VMS system 210 that performs data visualization, decision-making, and the like, and performs device provisioning for session connection management between the mobile device 10 and the edge VMS system 110 .

In addition, in the present invention, the core VMS system 210 performs mutual authentication for the mobile device 10, and in response to the geographical movement characteristics of the mobile device 10, a mobile device ( 10), a provision that searches for the optimal MEC cloud system 100 according to the evaluation criteria set in advance, and performs session connection management with the edge VMS system 110 corresponding to the discovered MEC cloud system 100 A service unit 211; may be provided.

In addition, in the present invention, the provisioning service unit 211 receives a request for updating the provisioning database from the manager client processing unit 231 of the core cloud system 200 for connection management of the specific mobile device 10 whose registration is confirmed. Upon receiving, after inputting information of the corresponding mobile device 10 into the database, an access token for connection authentication of the corresponding mobile device 10 is provided to perform mutual authentication, and the manager client processing unit 231 provides the provisioning service unit 211 ) may be configured to provide an access token provided from the user and user account information issued to the corresponding mobile device 10 to the corresponding mobile device 10 .

In addition, in the present invention, when the core VMS system 210 receives a connection request while presenting the access token provided in the above mutual authentication from the mobile device 10, the provisioning service unit 211 of the core VMS system 210 is It may be configured to check whether the corresponding access token is valid.

In addition, in the present invention, the provisioning service unit 211 searches for the shortest distance first, the shortest route search for the shortest hop of the connection section between the mobile device 10 and the edge VMS system 110, and the network for searching the high-speed network It may be configured to search the provisioning path according to any one of the evaluation criteria of bandwidth preference.

In addition, in the present invention, the edge VMS system 110 receives real-time video data from the mobile device 10 according to the provision path, and relays the real-time video data to the core VMS system 210, and the same MEC cloud system ( When a data request is received from the edge image processing system 120 of 100 , it may be configured to distribute real-time image data to the edge image processing system 120 through the edge distribution service unit 112 .

According to the present invention, by adopting dualized resource operation in which the computing resources of the video control system are layered into edge and core, large-capacity remote data generated in real-time from mobile devices can be utilized for control purposes, and management efficiency of the video control system is improved. There are advantages to doing.

In addition, according to the present invention, by tiering the storage, distribution, and utilization management of collected data in a distributed environment, and configuring the edge VMS to take charge of primary data analysis and response, the waste of server and storage resources due to the conventional blind data collection and storage There are advantages to improving the problem.

In addition, according to the present invention, there is an advantage in that the loss of the real-time data stream can be prevented through the computing resources of the edge VMS.

In addition, according to the present invention, there is an advantage that individual services can be provided in an edge response method or a core utilization method according to the properties of each request in response to various types of control service requests from users.

In addition, according to the present invention, by adopting a layered architecture with an edge VMS and a core VMS, it is possible to improve image processing efficiency for large-capacity real-time image data collected from geographically distant places or collected through high-speed mobile networks such as 5G. there are advantages to

1 is a diagram conceptually showing the overall configuration of a video control system based on mobile edge computing according to the present invention.
2 is a diagram conceptually showing the functional configuration of a video control system based on mobile edge computing according to the present invention.
[Figure 3] is a diagram showing an interface diagram of a video control system based on mobile edge computing according to the present invention.
[Figure 4] is a diagram showing a mutual authentication procedure of a mobile device in the video control system based on the mobile edge computing of the present invention.
[Figure 5] is a diagram showing a data transmission path setting procedure in the video control system based on the mobile edge computing of the present invention.

Hereinafter, the present invention will be described in detail with reference to the drawings.

[FIG. 1] is a diagram conceptually showing the overall configuration of a mobile edge computing (MEC)-based video control system according to the present invention.

Referring to FIG. 1 , the video control system of the present invention is composed of an edge VMS system 110 and a core VMS system 210 as a whole. Through this, the system-wide computing resource is layered into edge and core to perform dual resource operation, and heterogeneous large-capacity city data (e.g., Video, IoT, Control, etc.) is distributed. It processes and increases service availability by tiering resources according to the nature of data (real-time, persistence, integrity, immediacy, etc.).

The edge VMS system (Edge Video Management Solution System) 110 processes and manages large-capacity image data generated at the edge, in particular, performs real-time processing of an immediate response according to the image analysis result in the corresponding edge area. For example, video analysis to detect emergency events (e.g. fire, intrusion, explosion, traffic accident, etc.), create metadata for these emergency events, and take actions to respond to these emergency events (e.g. control center alarm) can take The edge VMS system 110 transmits information generated in the edge area it is responsible for to the core VMS system 210 .

The core VMS system (Core Video Management Solution System) 210 uses information (data) collected from a plurality of edge VMS systems 110 to provide it to a controller or a higher-level administrator and perform central management.

Through this video control platform composed of edge VMS and core VMS, it is possible to guarantee the characteristics of mobile edge devices and support smooth data transmission. For example, it enables effective processing of large-capacity multi-channel image data generated by mobile edge devices, and achieves high-speed communication, session maintenance, and connection path setting according to the location and properties of the mobile edge device.

In the present invention, the edge VMS system 110 quickly connects and collects real-time large-capacity data through direct connection with the mobile device 10 for the edge region each of them is responsible for. Then, the edge VMS system 110 provides a data relay for the mobile edge device 10 , that is, a connection to the core VMS system 210 . In addition, the edge VMS system 110 performs edge redistribution, that is, analyzes an image generated in the corresponding edge area, and distributes the image to other systems (eg, a third-party device, an external system) according to the analysis.

In the present invention, the core VMS system 210 provides information on the edge VMS system 110 to be connected to the mobile device 10 and monitors the registration and network status of the mobile device 10 in an integrated manner. In addition, the core VMS system 210 stores data (image data, metadata, etc.) received from the edge VMS system 110 and provides a device provisioning service.

In the present invention, the most efficient path (ie, provisioning path) is searched for and maintained for a quick connection between the mobile device 10 and the edge VMS system 110, and the provisioning service corresponds to the connection management function of the mobile edge device. . Shortest distance between the mobile device 10 and the edge VMS system 110 through the provisioning service, high-speed network priority (network bandwidth priority), shortest hop priority (shortest path) of the connection section First, a path (provision path) determined to be the best connection path according to any one of the criteria of (shortest path) is searched and selected.

As such, it utilizes a mobile edge computing (MEC) architecture, that is, a structure divided into an MEC layer and a core layer, through which fixed or mobile devices that are geographically separated or collected through high-speed mobile networks such as 5G (10) can increase the efficiency of image processing. In addition, by utilizing the mobile edge computing (MEC) architecture, it is possible to provide cloud-based video control services, thereby overcoming the geographical limitations of video control.

In [FIG. 1], the manager terminal 20 is a terminal device used by a company or manager that manages the video control system according to the present invention as a whole, and the user terminal 30 is a service provided by the video control system according to the present invention. It is a terminal used by a user, such as a controller or a resident of the building.

[Fig. 2] is a diagram conceptually showing the functional configuration of a mobile edge computing (MEC)-based video control system according to the present invention, and [Fig. 3] is a view showing the components in the mobile edge computing-based video control system according to the present invention. It is a diagram showing an interface diagram between the two.

The MEC-based video control system according to the present invention is a system for effectively providing video control services by utilizing large-scale real-time video data generated from a plurality of mobile devices 10 that are geographically dispersed.

The MEC-based video control system according to the present invention can improve the utilization and management efficiency of remote data through a layered architecture with the MEC cloud system 100 and the core cloud system 200 . In the prior art, it was difficult to utilize remote data due to the communication delay time with the central server, but in the present invention, since image analysis and emergency response are performed in the MEC cloud system 100 that covers the corresponding area, the problem due to the communication delay time is reduced. doesn't happen In addition, in the present invention, since real-time data is analyzed and processed directly in the data generation area, the problem of communication delay time or load congestion is alleviated, and thus, loss of the real-time data stream can be prevented.

In addition, according to the present invention, it is possible to provide individual services according to various user needs (edge response, core utilization, etc.). By layering the video control service into local service (real-time on-site response) and manager service (data central management, redistribution), it is possible to provide various types of services.

In addition, according to the present invention, it is possible to improve the waste of computing resources and storage resources due to the blind data collection and storage in the prior art by layering the storage, distribution, and utilization management of the collected data. That is, the edge VMS system 110 performs large-capacity image storage, image analysis, context recognition and response, and the core VMS system 210 performs low-volume metadata management, context analysis and data visualization, decision making, etc. It is possible to improve the problems of the prior art by configuring it to be binary.

In addition, according to the present invention, it is possible to increase the local resource utilization and operation efficiency of the distributed environment through the MEC cloud system 100 .

Referring to FIG. 2 , first, the mobile edge computing (MEC) cloud system 100 is a system that receives and analyzes real-time image data from a group of mobile devices 10 existing in its area of responsibility, and analyzes and processes the edge VMS. It is configured to include the system 110 and the edge image processing system 120 .

The edge VMS system 110 is a system that receives and manages real-time image data from a group of mobile devices 10 belonging to the corresponding MEC cloud, and includes an edge relay service unit 111 and an edge distribution service unit 112 . When the edge VMS system 110 receives real-time image data generated in the corresponding MEC cloud, it relays it to the edge image processing system 120 belonging to the corresponding MEC cloud 100 and the core VMS system 210 of the core cloud 200 . transmit

The edge image processing system 120 receives real-time image data relayed from the edge VMS system 110 and analyzes it. As a result of the analysis, the edge image processing system 120 is a system that processes information so that actions can be taken immediately on the spot. An image analysis device 121 and an edge SOP system 122 are provided. In this specification, SOP is a term meaning a disaster site standard operating procedure (SOP). Meanwhile, in the present invention, all or part of the edge image processing system 120 may be configured as a third party device.

The core cloud system 200 receives real-time image data and analysis data from a plurality of MEC cloud systems 100 and comprehensively manages them. The core VMS system 210 , the core image processing system 220 , and the core VMS client and a system 230 . The above-described MEC cloud system 100 is generally configured to cover a narrow regional range, for example, about 5 to 10 block areas, whereas the core cloud system 200 covers a relatively very wide regional range, for example, the entire Seoul Metropolitan City. can be configured to

The core VMS system 210 stores data (image data, metadata, etc.) received from the edge VMS system 110 and performs low-capacity metadata management, context analysis and data visualization, decision making, etc. A device provisioning service is provided for connection management between the mobile device 10 and the edge VMS system 110 . To this end, the core VMS system 210 includes a provisioning service unit 211 , a core VMS database unit 212 , a core master service unit 213 , a core recording service unit 214 , a core distribution service unit 215 , An external interlocking service unit 216 is provided.

The provisioning service unit 211 is a component that provides a device provisioning service for connection management between the mobile device 10 and the edge VMS system 110 and will be described in detail below.

The core VMS database unit 212 is a component that stores various types of metadata received from the edge VMS system 110 and context analysis results and decision data generated by the core VMS system 210 .

The core master service unit 213 is a component that controls the overall operation performed in the core VMS system 210 .

The core recording service unit 214 is a component for recording and storing real-time video data transmitted from the MEC cloud systems 100 .

The core distribution service unit 215 receives real-time video data from the MEC cloud system 100 from components that work with the edge relay service unit 111 and the edge distribution service unit 112 of the multiple MEC cloud systems 100 . It is provided and distributed and delivered to other components of the core cloud system 200 , that is, the core image processing system 220 and the core VMS client system 230 .

The external interworking service unit 216 is a component that provides an interface for cooperative operation by functionally interworking with the core image processing system 220 and the core VMS client system 230 of the core cloud system 200 .

The core image processing system 220 includes all of the real-time image data and analysis data (metadata, etc.) collected from the plurality of MEC cloud systems 100 , and the context analysis result and decision data generated by the core VMS system 210 . Alternatively, it is a system that receives and receives a portion of the distribution from the core distribution service unit 215 of the core VMS system 210, analyzes it, and processes information so that appropriate actions can be taken in response to the analysis result. To this end, the core image processing system 220 includes a core image analysis device 221 , a core image storage device 222 , a geographic information system 223 , an access control system 224 , a core SOP system 225 , and an emergency alert. A system 226 is provided, wherein all or part of the core image processing system 220 may be configured as a third-party device.

The core VMS client system 230 is a system that provides an interface with the manager terminal 20 and the user terminal 30 and includes a manager client processing unit 231 and a user client processing unit 232 for this purpose.

Hereinafter, the device provisioning service provided by the provisioning service unit 211 of the core VMS system 210 will be described in detail.

As the mobile device 10 continuously changes its location, the network connection type may be changed at any time. In particular, as 5G-based mobile network infrastructure is secured, various mobile devices 10, such as mobile CCTVs, smartphones, drones, and autonomous vehicles, each shoot images around themselves and control services using them are thought to be possible. These mobile devices 10 can switch between a wireless LAN connection and a mobile communication network connection, and even in the case of a wireless LAN connection, the wireless LAN access point (AP) can be changed according to a location movement at any time, and the Even in this case, the base station may be changed according to position movement at any time.

As such, as the network connection type is changed, the identification system (eg, IP address system) for the mobile device 10 is also changed. In addition, as the mobile device 10 moves geographically, handovers between access points (APs) frequently occur. As such, the mobile device 10 has no choice but to have an indeterminate network connection due to its properties. In order to continuously maintain a network connection with a mobile network access point (AP) or a mobile communication base station to which the mobile device 10 is connected, the mobile device 10 It is important to check the network connection status of ) and to achieve session maintenance for continuous and stable data transmission and reception in response. When the mobile device 10 accesses the mobile network (first network) to ensure device mobility, mutual identification and connection establishment technology with the server systems 100 and 200 in a different network (second network) are required.

In the present invention, performing connection management for the mobile device 10 is called a provisioning service. Conceptually, it means analyzing an optimal path between the mobile device 10 and the MEC cloud system 100 and the core cloud system 200 , checking a network connection state, maintaining a network connection, and the like. In order to quickly transmit real-time image data generated by the mobile device 10 having geographic mobility to the platforms 100 and 200, a mutual authentication process and a data transmission path setting process between the mobile device 10 and the platforms 100 and 200 are performed. The provision service unit 211 of the core VMS system 210 provided in the core cloud system 200 performs.

The provisioning service unit 211 of the core VMS system 210 maintains a path (provision path) that is evaluated to be the most efficient according to a specific criterion for a quick connection between the mobile device 10 and the edge VMS system 110 . do. For example, to select a connection path evaluated as the best among the shortest distance priority between the mobile device 10 and the edge VMS system 110, high speed network priority (based on network bandwidth), and shortest hop priority of the connection section. provide services.

Looking at the operation structure of the provisioning service, the mobile devices 10 perform mutual authentication and session connection with the platforms 100 and 200 in order to interwork with the video control system according to the present invention, and provision is applied at this time. .

To this end, the provisioning service unit 211 pre-registers the mobile devices 10 to be linked to the video control system and distributes an access token for connection authentication. The mobile devices 10 check route setting information, that is, route information to the edge VMS system 110 together with connection authentication through the access token.

At this time, the mobile devices 10 connect to the edge VMS system 110 and transmit various data (eg, real-time image data, device identification information, etc.), and the edge relay service unit 111 of the edge VMS system 110 . and the edge distribution service unit 112 transmits these data to the edge image processing system 120 of the corresponding MEC cloud system 100 and the core VMS system 210 of the core cloud system 200 .

In the present invention, a provisioning service is a function of managing resources of a plurality of mobile devices 10 and the clouds 100 and 200 . In this regard, a new connection setting is required due to the movement of the mobile device 10 that is already registered in the video control system, or a provisioning service is provided when setting up a connection for the new mobile device 10 . . For connection management of these mobile devices 10, by monitoring the resource status (server resource, network resource, storage resource operation status, etc.) of the entire system in advance and setting the connection path according to the shortest path, the maximum bandwidth, the minimum path, etc. Maintain efficiency. Through this, connection management that can stably provide the performance of the control service is performed, and route optimization and resource allocation (load balancing) are achieved through network connection setting.

[Fig. 4] is a diagram showing a mutual authentication procedure for the mobile device 10 in the mobile edge computing (MEC)-based video control system of the present invention, and [Fig. 5] is a mobile edge computing (MEC) based image control system of the present invention. It is a diagram illustrating a data transmission path setting procedure, that is, a session connection and data streaming processing procedure between the mobile device 10 and the cloud systems 100 and 200 in the video control system of .

First, with reference to [FIG. 4], a mutual authentication procedure for a specific mobile device 10 will be described.

The manager client processing unit 231 requests device registration for a specific mobile device 10 from the core VMS system 210 in response to a device registration request from the manager terminal 20 . When the core VMS system 210 receives a device registration request, it internally performs a device registration procedure for the corresponding mobile device 10 , and provides a response to the confirmation of registration to the manager client processing unit 231 . Such device registration may be performed in the form of automatic registration, manual registration, batch registration, or the like.

Next, for connection management of the registered mobile device 10 , the manager client processing unit 231 requests the core VMS system 210 to update the provision database (Update Provision Database). Correspondingly, the provisioning service unit 211 of the core VMS system 210 enters the information of the corresponding mobile device 10 into the database and then an access token for connection authentication of the corresponding mobile device 10 (Access Token for). authentication) is provided. In addition, the manager client processing unit 231 provides the access token provided from the core VMS system 210 and the user account information (Access Token and Account Information) issued to the mobile device 10 to the mobile device 10 . do.

In the mutual authentication procedure for the mobile device 10 as described above, the operation of the manager client processing unit 231 may seem to be performed by the manager terminal 20 operated by the manager. In fact, the manager terminal 20 and the manager client processing unit 231 may be integrally implemented.

Next, with reference to [Fig. 5], a session connection and data streaming processing procedure between a specific mobile device 10 and the cloud systems 100 and 200 of the video control system according to the present invention will be described.

In the present invention, the mobile device 10, for example, a mobile CCTV or drone, generates image data by capturing the surrounding situation through its own camera, and then provides the image data to the image control system. To this end, a session connection must be established between the mobile device 10 and the cloud systems 100 and 200 .

To this end, the mobile device 10 transmits a Connection Request with Access Token to the core VMS system 210 while presenting the access token provided in the above mutual authentication process. The provisioning service unit 211 of the core VMS system 210 checks whether the corresponding access token is valid. In this process, a public key encryption system (PKI) technology may be favorably utilized.

Then, the provisioning service unit 211 of the core VMS system 210 determines a specific criterion between the mobile device 10 and the edge VMS system 110, for example, the shortest distance first, the shortest path first ( shortest path), high-speed network priority (network bandwidth priority), etc., the most efficient path is searched for. That is, the above evaluation criteria among a plurality of MEC cloud systems 100 interworking with the core cloud system 200 Accordingly, the MEC cloud system 100 corresponding to the optimal path is selected and a connection path is established between the corresponding edge VMS system 110 and the mobile device 10 .

In the present specification, a path obtained by searching through this process is referred to as a provisioning path. Subsequently, the provisioning service unit 211 sets the obtained provisioning path to the user account of the corresponding mobile device 10 , and the corresponding edge VMS system 110 corresponding to the corresponding mobile device 10 and the provisioning path. ) to provide signaling to initiate an interconnection (Initiating Connection). Through this, the mobile device 10 belongs to a specific MEC cloud system 100 .

Then, the mobile device 10 transmits the real-time video data to the edge VMS system 110 according to the provision path (Data Send), and the edge VMS system 110 transmits the real-time video data to the core VMS system 210 . ) to relay transmission (Data Send). This operation is performed in a plurality of regionally dispersed mobile devices 10 and a plurality of MEC cloud systems 100 , and accordingly, real-time video data for a very wide area is collected in the core cloud system 200 . The core recording service unit 214 of the core VMS system 210 stores the collected real-time video data in the storage device (Video Data Recording).

The edge image processing system 120 of the MEC cloud system 100 requests data from the edge VMS system 110 according to its own needs (Data Request), and the edge distribution service unit 112 of the edge VMS system 110 . distributes the real-time image data provided by the mobile device 10 to the edge image processing system 120 (Data Distribution). The edge image processing system 120 analyzes real-time image data and processes the information so that an action can be taken immediately on the spot according to the analysis result.

The core image processing system 220 of the core cloud system 200 requests data from the core VMS system 210 according to its own needs (Data Request), and the core distribution service unit 215 of the core image processing system 220 . ) distributes the collected real-time image data and various analysis data (metadata) from the multiple MEC cloud systems 100 to the core image processing system 220 (Data Distribution). The core image processing system 220 analyzes the distributed information and processes the information so that an appropriate action can be taken in response to the analysis result.

Meanwhile, the present invention can be implemented in the form of computer-readable codes on a computer-readable non-volatile recording medium. Various types of storage devices exist as such non-volatile recording media. For example, hard disks, SSDs, CD-ROMs, NAS, magnetic tapes, web disks, cloud disks, etc. A form in which it can be implemented and executed can also be implemented. In addition, the present invention may be implemented in the form of a computer program stored in a medium to execute a specific procedure in combination with hardware.

10: mobile device
20: administrator terminal
30: user terminal
100: Mobile Edge Computing (MEC) Cloud System
110: Edge VMS system
111: edge relay service unit 112: edge distribution service unit
120: edge image processing system
121: edge image analysis device 122: edge SOP system
200: core cloud system
210: core VMS system
211: provision service unit 212: core VMS database unit
213: core master service unit 214: core recording service unit
215: core distribution service unit 216: external interworking service unit
220: core image processing system
221: core image analysis device 222: core image storage device
223: geographic information system 224: access control system
225: core SOP system 226: emergency alarm system
230: core VMS client system
231: administrator client processing unit 232: user client processing unit

Claims (6)

The real-time image data generated by a group of mobile devices 10 that are geographically present in the region in charge are provided to the network and analyzed and processed, and the real-time image data and metadata according to the analysis result are stored in the core cloud system 200 . a mobile edge computing (MEC) cloud system 100 configured to process the analysis information so that an action can be taken on the spot when it is determined as an emergency situation preset by the image analysis result;
A core that receives and manages real-time image data and metadata from a plurality of geographically dispersed MEC cloud systems 100, and performs at least one of context analysis, data visualization, and decision-making based on the collected metadata cloud system 200;
As a mobile edge computing-based video control system having a core VMS and an edge VMS configured to include,
The mobile edge computing (MEC) cloud system 100 receives real-time image data from a group of mobile devices 10 belonging to the corresponding MEC cloud, stores large-capacity images, generates metadata through image analysis, and performs situational awareness and response. and an edge VMS system 110 that relays and distributes real-time image data generated in the corresponding MEC cloud to the edge image processing system 120 and the core cloud system 200 belonging to the same MEC cloud;
The core cloud system 200 records and stores the real-time image data and metadata that are transmitted and collected from the plurality of edge VMS systems 110 to the core cloud system 200, and analyzes the context based on the metadata; a core VMS system 210 that performs data visualization and decision-making, and performs device provisioning for session connection management between the mobile device 10 and the edge VMS system 110;
A mobile edge computing-based video control system having a core VMS and an edge VMS, characterized in that it comprises a.
The method according to claim 1,
The core VMS system 210 performs mutual authentication with respect to the mobile device 10 and the mobile device 10 among a plurality of MEC cloud systems 100 in response to the geographical mobility characteristics of the mobile device 10 . A provision service unit that searches for the optimal MEC cloud system 100 according to the evaluation criteria set in advance for , and performs session connection management with the edge VMS system 110 corresponding to the discovered MEC cloud system 100 . (211);
A mobile edge computing-based video control system having a core VMS and an edge VMS, characterized in that it comprises a.
3. The method according to claim 2,
The provision service unit 211 receives a request to update the provision database from the manager client processing unit 231 of the core cloud system 200 for connection management of the specific mobile device 10 whose registration has been confirmed. After inputting the information of the device 10 into the database, mutual authentication is performed by providing an access token for connection authentication of the corresponding mobile device 10,
The manager client processing unit 231 is configured to provide the access token provided from the provisioning service unit 211 and user account information issued to the corresponding mobile device 10 to the corresponding mobile device 10 A video control system based on mobile edge computing with core VMS and edge VMS.
4. The method according to claim 3,
When the core VMS system 210 receives a connection request while presenting the access token provided in the mutual authentication from the mobile device 10, the provisioning service unit 211 of the core VMS system 210 performs the corresponding A video control system based on mobile edge computing having a core VMS and an edge VMS, characterized in that configured to check whether the access token is valid.
5. The method according to claim 4,
The provisioning service unit 211 provides a shortest distance priority between the mobile device 10 and the edge VMS system 110, a shortest path priority for searching a shortest hop of a connection section, and a network bandwidth priority for searching a high-speed network. A mobile edge computing-based video control system having a core VMS and an edge VMS, characterized in that configured to search a provisioning path according to any one of the evaluation criteria.
6. The method of claim 5,
The edge VMS system 110 receives real-time video data from the mobile device 10 according to the provision path, relays the real-time video data to the core VMS system 210, and transmits the same MEC cloud system ( The core VMS and edge, characterized in that when receiving a data request from the edge image processing system 120 of 100), the real-time image data is distributed to the edge image processing system 120 through the edge distribution service unit 112 Video control system based on mobile edge computing equipped with VMS.

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