CN112437259A - Smart city video monitoring system and method based on 5G edge calculation - Google Patents
Smart city video monitoring system and method based on 5G edge calculation Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/27—Server based end-user applications
- H04N21/274—Storing end-user multimedia data in response to end-user request, e.g. network recorder
- H04N21/2743—Video hosting of uploaded data from client
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Abstract
The invention discloses a smart city video monitoring system, a smart city video monitoring method and a smart city video monitoring device based on 5G edge computing.A region processing unit is distributed and arranged corresponding to different regions, an edge server in each region processing unit carries out edge processing on video data acquired in the region, and a processing result is continuously uploaded to a video monitoring cloud center, so that the workload and the storage capacity of the video monitoring cloud center are greatly reduced, the data processing efficiency is accelerated, and the bandwidth of 5G communication is greatly improved compared with that of the traditional communication mode.
Description
Technical Field
The invention relates to the technical field of video monitoring, in particular to a smart city video monitoring system and method based on 5G edge calculation.
Background
With the rapid development of new technologies such as the internet of things and 4G/5G, the safety consciousness of people is continuously improved, the video monitoring of smart cities is more and more important, particularly for operation vehicles such as buses, police law enforcement cruiser, school buses and taxis, the existing 4G network is low in bandwidth, so that the video transmission rate is low, the image quality effect of videos is poor, high-definition videos or photos are difficult to transmit through a 4G wireless communication network, and the targets cannot be effectively monitored.
In a traditional video monitoring system, a large amount of high-definition video and image transmissions in each area are respectively transmitted to a total central processor for processing and storage, so that the problems of high time delay and low efficiency are easily caused, a large amount of server resources are easily consumed, a service spring is caused, and the data real-time performance cannot be guaranteed due to low data transmission efficiency.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a smart city video monitoring system, a method and a device based on 5G edge calculation, which can solve the problems of low bandwidth, low efficiency and difficult guarantee of real-time performance in the traditional video monitoring system.
In the first aspect, the invention is realized by adopting the following technical scheme:
the intelligent city video monitoring system based on 5G edge computing comprises a plurality of area processing units and a video cloud monitoring center, wherein each area processing unit comprises a terminal acquisition device, a device controller, a 5G communication module and an edge server which are sequentially connected, and each edge server is connected with the video monitoring cloud center;
the terminal acquisition equipment is used for acquiring video data and transmitting the acquired video data to the equipment controller; the device controller is used for controlling the terminal acquisition device and transmitting the video data from the terminal acquisition device to the edge server through the 5G communication module; the edge server is used for preprocessing the video data, performing image analysis on the preprocessed video data to obtain an analysis result and uploading the analysis result to the video monitoring cloud center.
Preferably, the terminal acquisition equipment comprises a high-definition camera, a first display and an alarm device, and the high-definition camera, the display and the alarm device are all connected with the equipment controller.
Preferably, the edge servers are distributed in a range formed by taking the 5G communication module as a center and taking the radius as a preset distance.
Preferably, the video monitoring cloud center comprises an alarm system, a processing center and a second display, wherein the alarm system and the second display are both connected with the processing center, and the processing center is connected with the edge server.
Preferably, the processing center is further connected with an operation client, and the operation client is used for inputting an operation instruction.
In the second aspect, the invention is realized by the following technical scheme:
a smart city video monitoring method based on 5G edge calculation comprises the following steps:
receiving video data uploaded by terminal acquisition equipment in a corresponding area range in real time;
preprocessing the video data to obtain processed video data;
and performing image analysis on the processed video data, and uploading the obtained analysis result to a video monitoring cloud center.
Preferably, the preprocessing includes one or more of video compression, video decoding, and removing redundant information in the video data.
Preferably, when the video monitoring cloud center receives the analysis result, whether the analysis result is abnormal is judged according to the analysis result, if so, an alarm is given and the analysis result is stored, otherwise, the analysis result is stored.
In a third aspect, the invention is realized by adopting the following technical scheme:
wisdom city video monitoring device based on 5G edge calculation, city video monitoring device includes:
a data receiving module: the system comprises a terminal acquisition device, a data processing device and a data processing device, wherein the terminal acquisition device is used for acquiring video data of a corresponding region;
a data processing module: the video processing device is used for preprocessing the video data to obtain processed video data;
an image analysis module: and the video monitoring cloud center is used for carrying out image analysis on the processed video data and uploading the obtained analysis result to the video monitoring cloud center.
Preferably, the preprocessing includes one or more of video compression, video decoding, and removing redundant information in the video data.
Compared with the prior art, the invention has the beneficial effects that:
according to the urban video monitoring system, the regional processing units are distributed and arranged corresponding to different regions, the edge server in each regional processing unit carries out edge processing on the video data acquired in the region, the processing result is continuously uploaded to the video monitoring cloud center, the workload and the storage capacity of the video monitoring cloud center are greatly reduced, the data processing efficiency is accelerated, and compared with the traditional communication mode, the 5G communication mode greatly improves the bandwidth.
Drawings
FIG. 1 is a schematic structural diagram of a smart city video surveillance system based on 5G edge calculation according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart of a smart city video monitoring method based on 5G edge calculation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a smart city video monitoring apparatus based on 5G edge calculation according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The 5G network bandwidth reaches 10Gbps, which is equivalent to the download speed of 1.25GB/s, and has two 'killer' characteristics of millisecond-level time delay and ultrahigh-density connection. Low latency, which means that not only uplink and downlink will be faster, but also the response time to wait for the start of data transmission will be greatly shortened; the ultra-high density connection will solve the serious problem existing in the current mobile network standard: a severe lack of bandwidth. Therefore, through the characteristics of the 5G technology, such as high speed, low time delay, high bandwidth and edge cloud computing, the artificial intelligence AI technology is combined to provide real-time high-definition videos for video monitoring of the smart city, intelligent analysis is carried out, and Beidou navigation is utilized for accurate positioning, so that more powerful guarantee is provided for public safety.
The embodiment of the invention discloses a smart city video monitoring system, a method and a device based on 5G edge computing.A region processing unit is distributed and arranged corresponding to different regions, an edge server in each region processing unit carries out edge processing on video data acquired in the region, and a processing result is continuously uploaded to a video monitoring cloud center, so that the workload and the storage amount of the video monitoring cloud center are greatly reduced, the data processing efficiency is accelerated, and the bandwidth of 5G communication is greatly improved compared with that of the traditional communication mode.
Fig. 1 shows a schematic structural diagram of a smart city video monitoring system based on 5G edge calculation according to an embodiment of the present invention. As shown in fig. 1, the urban video monitoring system based on 5G edge processing disclosed in the embodiment of the present invention specifically includes the following schemes:
the system comprises a plurality of regional processing units and a video cloud monitoring center, wherein each regional processing unit comprises terminal acquisition equipment 101, an equipment controller 102, a 5G communication module 103 and an edge server 104 which are connected in sequence, and each edge server 104 is connected with the video cloud monitoring center 105.
The urban video monitoring system of the embodiment of the invention adopts the 5G communication module 103 to transmit data through 5G communication. For each region, a region processing unit is arranged, the edge server 104 in the region processing unit locally processes the video data in the region, and all the video data are not required to be uploaded to a video monitoring cloud center in a centralized manner for processing, so that the burden of the video monitoring cloud center is greatly reduced.
Specifically, the terminal acquisition device 101 is configured to acquire video data and transmit the acquired video data to the device controller 102; the device controller 102 is configured to control the terminal acquisition device 101, and transmit video data from the terminal acquisition device 101 to the edge server 104 through the 5G communication module 103; the edge server 104 is configured to preprocess the video data, perform image analysis on the preprocessed video data, obtain an analysis result, and upload the analysis result to the video monitoring cloud center 105.
The terminal acquisition equipment 101 comprises a high-definition camera, a first display and an alarm device, and the high-definition camera, the display and the alarm device are all connected with the equipment controller 102. And transmitting the video data acquired by the terminal acquisition equipment 101 to an upper layer for analysis and processing by the edge cloud service and the video monitoring cloud center. The device controller 102 may be configured to provide a user with real-time image browsing via a tablet computer or the like when the system is started, control the camera to rotate, and perform bidirectional voice communication with the video monitoring cloud center 105, and may also have a beidou positioning function.
The edge server 104 and the device controller 102 communicate with each other and communicate over a 5G network. The edge server 104 is specifically arranged in a range formed by taking the 5G communication module 103 as a center and taking the radius as a preset distance. The preset distance is set according to actual conditions, and is usually installed near a 5G base station for deployment. The edge server 104 comprises a big data processing platform, and can preprocess video data, so that part or all of the video data are analyzed and migrated to the edge, and are not required to be concentrated on the video monitoring cloud center 105 for uniform processing, and the storage pressure and the processing pressure of the video monitoring cloud center are reduced.
As a preferable mode of the embodiment of the present invention, the video monitoring cloud center 105 includes an alarm system, a processing center, and a second display, both the alarm system and the second display are connected to the processing center, and the processing center is connected to the edge server 104. The processing center determines whether the analysis result from the edge server 104 is abnormal, and if so, may send an instruction to the alarm system to alarm. In addition, the processing center can send instructions to the edge server 104 to retrieve the video data for review and processing at any time. How to define whether to be abnormal or not, or according to what rule to analyze the video data, may be different according to the actual application scenario. For example, in a parking lot application, the terminal acquisition device 101 is a face recognition device installed at each entrance and exit of the parking lot. The face video image and the license plate number video data are collected and uploaded to the edge server, the edge server 104 can compare the face video image and the license plate number video data with the face image bound with the license plate number video data stored in advance to determine whether the face video image and the license plate number video data are consistent, if so, the face video image and the license plate number video data can be determined to be normal, and if not, the analysis result can be defined to be abnormal. And sending the analysis result to a video monitoring cloud center, wherein when the video monitoring cloud center 105 receives the abnormal analysis result, the face video image and the license plate number video data in the edge server 104 can be called to be compared and matched with the stored data, whether the abnormality occurs is further confirmed, and when the abnormality is confirmed, an alarm system is informed to give an alarm. Or, the abnormal analysis result sent by the edge server 104 to the video monitoring cloud center already includes a pre-existing face image and a currently received face video image, and the video monitoring cloud center can quickly compare whether the face image and the currently received face video image are consistent, determine whether the analysis result of the edge server is accurate, and then perform the next action.
As a preferred mode of the embodiment of the present invention, the processing center is further connected to an operation client, and the operation client is configured to input an operation instruction. The operation client is, for example, a computer, a tablet, a portable intelligent terminal, etc., which is convenient for a worker to send a control instruction to the area processing unit, and for the worker to call video data, an analysis result, etc. in real time for watching or other operations, and can perform remote command, i.e., make a decision correspondingly.
In the embodiment of the present invention, the preprocessing of the edge server 104 mainly includes one or more of video compression, video decoding, and removing redundant information in the video data.
Example two
As shown in fig. 2, a flow chart of a smart city video monitoring method based on 5G edge calculation includes the following steps:
201. and receiving the video data uploaded by the terminal acquisition equipment in the corresponding area range in real time.
202. And preprocessing the video data to obtain processed video data.
203. And performing image analysis on the processed video data, and uploading the obtained analysis result to a video monitoring cloud center.
The operation is mainly applied to the edge server, the terminal acquisition equipment mainly refers to a high-definition camera, the terminal acquisition equipment acquires video data in real time, uploads the acquired video data to the corresponding edge server, and carries out preprocessing by the edge server and image analysis on the preprocessed video data. In the embodiment of the invention, the image analysis comprises comparison of images, selection of people in the images and the like, and different modes are provided according to different practical application scenes. And sending the analyzed result to the video monitoring cloud center.
In a preferred embodiment, the preprocessing includes one or more of video compression, video decoding, and removing redundant information from video data. Redundant information is deleted, the requirements for computing, storage and network bandwidth of the video monitoring cloud center can be greatly reduced, and the efficiency of video image analysis is improved. And uploading the analysis result data to the video monitoring cloud center in real time.
When the video monitoring cloud center receives the analysis result, whether the analysis result is abnormal or not can be judged according to the analysis result, if yes, an alarm is given and the analysis result is stored, and if not, the analysis result is stored.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a smart city video monitoring apparatus based on 5G edge calculation according to an embodiment of the present invention. As shown in fig. 3, the embodiment of the present invention discloses an urban video monitoring apparatus, which includes the following structures: a data receiving module 301, a data processing module 302 and an image analysis module 303.
Specifically, the data receiving module 301 is configured to receive, in real time, video data uploaded by terminal acquisition devices in a corresponding area range; the data processing module 302 is configured to pre-process the video data to obtain processed video data; the image analysis module 303 is configured to perform image analysis on the processed video data, and upload an obtained analysis result to the video monitoring cloud center.
Further, the pre-processing includes one or more of video compression, video decoding, and removing redundant information in the video data.
According to the invention, a traditional architecture mode mainly based on a cloud center is broken through, the video data are preprocessed in real time nearby by adopting the edge cloud server based on 5G communication transmission, the docking requirement of computing and storing is completed nearby, the timeliness from perception to computing to response in the aspect of Internet of things is improved, the processing efficiency is improved, the requirements of video data processing integrity and instantaneity in the aspect of public safety can be well met, and the utilization rate of resources is improved. And the edge calculation and the nearby storage mode solve the problem of continuous network connection with high bandwidth, the application program can be quickly executed, and a communication channel which can be high in response and can be established with an endpoint.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (10)
1. The intelligent city video monitoring system based on 5G edge computing is characterized by comprising a plurality of area processing units and a video cloud monitoring center, wherein each area processing unit comprises a terminal acquisition device, a device controller, a 5G communication module and an edge server which are sequentially connected, and each edge server is connected with the video cloud monitoring center;
the terminal acquisition equipment is used for acquiring video data and transmitting the acquired video data to the equipment controller; the device controller is used for controlling the terminal acquisition device and transmitting the video data from the terminal acquisition device to the edge server through the 5G communication module; the edge server is used for preprocessing the video data, performing image analysis on the preprocessed video data to obtain an analysis result and uploading the analysis result to the video monitoring cloud center.
2. The intelligent city video monitoring system according to claim 1, wherein the terminal acquisition device comprises a high-definition camera, a first display and an alarm device, and the high-definition camera, the display and the alarm device are all connected with the device controller.
3. The smart city video monitoring system according to claim 1 or 2, wherein the edge servers are distributed within a range formed by taking the 5G communication module as a center and a radius as a preset distance.
4. The smart city video monitoring system according to claim 1 or 2, wherein the video monitoring cloud center comprises an alarm system, a processing center and a second display, the alarm system and the second display are connected with the processing center, and the processing center is connected with an edge server.
5. The intelligent city video surveillance system of claim 4, wherein the processing center is further connected with an operation client, and the operation client is used for inputting operation instructions.
6. The intelligent city video monitoring method based on 5G edge calculation is characterized by comprising the following steps:
receiving video data uploaded by terminal acquisition equipment in a corresponding area range in real time;
preprocessing the video data to obtain processed video data;
and performing image analysis on the processed video data, and uploading the obtained analysis result to a video monitoring cloud center.
7. The smart city video surveillance method of claim 6, wherein the preprocessing includes one or more of video compression, video decoding, and removing redundant information from video data.
8. The smart city video monitoring method as claimed in claim 6, wherein when the video monitoring cloud center receives the analysis result, it determines whether the analysis result is abnormal according to the analysis result, if so, it alarms and stores the analysis result, otherwise, it stores the analysis result.
9. Wisdom city video monitoring device based on 5G edge calculation, its characterized in that, city video monitoring device includes:
a data receiving module: the system comprises a terminal acquisition device, a data processing device and a data processing device, wherein the terminal acquisition device is used for acquiring video data of a corresponding region;
a data processing module: the video processing device is used for preprocessing the video data to obtain processed video data;
an image analysis module: and the video monitoring cloud center is used for carrying out image analysis on the processed video data and uploading the obtained analysis result to the video monitoring cloud center.
10. The smart city video monitoring device according to claim 9, wherein the pre-processing includes one or more of video compression, video decoding, and removing redundant information from video data.
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| CN114245070A (en) * | 2021-11-30 | 2022-03-25 | 慧之安信息技术股份有限公司 | Method and system for centralized viewing of regional monitoring content |
| CN114245070B (en) * | 2021-11-30 | 2022-08-19 | 慧之安信息技术股份有限公司 | Method and system for centralized viewing of regional monitoring content |
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