CN108173697B - Video private network safety operation and maintenance early warning management and control system - Google Patents
Video private network safety operation and maintenance early warning management and control system Download PDFInfo
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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Abstract
The invention discloses a video private network safety operation and maintenance early warning management and control system, which comprises a camera for acquiring image information, and is characterized in that: the system also comprises an analysis front end connected with the camera, and a rear-end comprehensive early warning management and control analysis platform connected with the analysis front end and the camera; the analysis front end is composed of a full-flow video data acquisition module, a full-flow video data depth analysis module, a full-flow video data intelligent alarm module, a full-flow video data safety module and a high-efficiency storage unit. The invention provides a video private network safety operation and maintenance early warning management and control system which can rapidly complete the positioning of jam, delay, mosaic and invaded fault points in a video private network, greatly improve the efficiency and effect of operation and maintenance, and well reduce the human resources required by the operation and maintenance.
Description
Technical Field
The invention belongs to the technical field of monitoring safety, and particularly relates to a video private network safety operation and maintenance early warning management and control system.
Background
At present, the social public security situation is increasingly complex, and the traditional public security prevention and control measures are difficult to meet the practical requirements. In recent years, in order to meet the requirements of more and more complex public security situations, the construction of video monitoring systems such as 'smart cities', 'safe cities', 'skynet projects', 'snow projects' and the like is greatly promoted by the countries and the governments, a video monitoring network covering the whole city and the whole town is gradually formed, the response capability and the monitoring strength for dealing with sudden cases, group events and major security activities are comprehensively improved, and the purposes of global coverage, whole network sharing, full-time availability and full-process controllability are basically achieved. The people are well accepted by the work, but some weak links still exist, and the video monitoring system is restricted from exerting the function and the construction effect of the social security prevention and control system.
The public security video monitoring system mainly achieves all-weather real-time monitoring and video recording of public videos, and achieves the monitoring purposes of real-time monitoring management, active early warning, crime deterrence, evidence obtaining at the later stage of an event and the like.
The video private network is used as a main bearing network of a video monitoring system, and has the characteristics of large network scale, more network branches, very dispersed network camera access geographic positions, difficult artificial supervision and the like, the phenomena of camera video delay, blockage, frame loss, double images and the like commonly existing in the video private network are difficult to judge the generation reason, and the responsibility confirmation and judicial evidence obtaining of safety events caused by fault processing, camera illegal access and illegal operation of internal personnel are difficult to carry out. Therefore, a management and control system more suitable for social needs is needed to solve the above problems.
The operation and maintenance system of the current video private network has two difficulties: firstly, the situation of 'passive operation and maintenance' still exists, and secondly, an effective system is lacked to carry out active and real-time investigation on the image quality of the cameras in the jurisdiction. For example, when a camera image has a large-area mosaic, the image quality is seriously reduced, and when the picture is unavailable, the camera image is called by using departments of the image, such as criminal investigation, traffic police, public security joint defense and the like, and the picture is seriously distorted, so that the purposes of solving a case and monitoring cannot be achieved, and a fault is reported to a video monitoring part. The video monitoring department can trigger the operation and maintenance mechanism after receiving the report, but in the process of troubleshooting, an effective system or tool is lacked, so that the video monitoring department cannot help maintenance personnel to quickly and accurately find fault points and quickly troubleshoot faults, and the usability of video images is guaranteed. Therefore, the way of operation and maintenance after the fact is nowadays increasingly unable to meet the needs of the current situation.
Disclosure of Invention
The invention aims to overcome the problems and provides a video private network safety operation and maintenance early warning management and control system which can rapidly complete the positioning of jam, delay, mosaic and invaded fault points in a video private network, greatly improve the operation and maintenance efficiency and effect and well reduce the human resources required by the operation and maintenance.
The purpose of the invention is realized by the following technical scheme:
a video private network safety operation and maintenance early warning management and control system comprises a camera for collecting image information, an analysis front end connected with the camera, and a rear end comprehensive early warning management and control analysis platform simultaneously connected with the analysis front end and the camera; the analysis front end is composed of a full-flow video data acquisition module, a full-flow video data depth analysis module connected with the full-flow video data acquisition module, a full-flow video data intelligent alarm module connected with the full-flow video data depth analysis module, a full-flow video data safety module connected with the full-flow video data intelligent alarm module, and an efficient storage unit connected with the full-flow video data safety module.
Preferably, the full-flow video data acquisition module adopts a camera video flow mirroring technology and is connected with the camera through an intelligent video data splitter, so that the data content shot by the camera is completely acquired while the image information transmitted to the monitoring platform by the camera is not influenced.
Further, the full-flow video data depth analysis module is used for analyzing the data acquired by the full-flow video data acquisition module and finding abnormal data through data analysis, wherein the abnormal data comprises data packet loss, repeated transmission, jitter, intervals and illegal access of external data generated in the data transmission process;
the working process of the full-flow video data depth analysis module is as follows:
(1) collecting data packets of video streams, and identifying, analyzing, calculating and counting the data packets packet by packet;
(2) creating metadata for the collected video data packet, wherein the metadata comprises source information of the data packet, destination platform information, a video stream type, a data packet number of the video stream, a serial number of the video stream, byte number, effective byte number and whether the data packet is a repeated data packet;
(3) separately storing metadata and the data packet;
(4) and (3) collecting the next video stream data packet, identifying, analyzing, calculating and counting the next data packet, simultaneously retrieving metadata according to analysis, searching for the original data packet according to the retrieval result of the metadata for comparison, and then returning to the step (2).
Preferably, the full-flow video data intelligent alarm module classifies data according to an analysis result of the full-flow video data deep analysis module, labels abnormal data in the classification, and sends the labeled abnormal data to the full-flow video data safety module.
Preferably, the full-flow video data security module sends the abnormal data information to the rear-end comprehensive early warning management and control analysis platform, and stores the corresponding abnormal data into the high-efficiency storage unit.
Preferably, the rear-end comprehensive early warning management and control analysis platform presents the global situation of the overall connectivity of the camera, analyzes the received abnormal data information, synchronously completes the positioning of network fault points or illegal intrusion behavior fault points, and gives an alarm for the abnormal data; the alarm modes comprise local dashboard display, third-party dashboard display and sending mail to a designated mailbox; the alarm model and the threshold value need to be manually created or changed on a back-end comprehensive early warning management and control analysis platform in advance.
Compared with the prior art, the invention has the following advantages and beneficial effects:
(1) the full-flow video data depth analysis module can complete analysis and comparison of video stream data packets very quickly, greatly improves the data processing speed of the system, can still realize full-flow acquisition and second-level analysis when 40Gbps flow is accessed, and has higher level in the industry.
(2) The invention can rapidly complete the positioning of the stuck, delayed and invaded fault points in the video private network, greatly improves the efficiency and effect of operation and maintenance, and simultaneously well reduces the human resources required by the operation and maintenance.
Drawings
FIG. 1 is a block diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples, but the embodiments of the present invention are not limited thereto.
Examples
As shown in fig. 1, a video private network safety operation and maintenance early warning management and control system includes a camera for collecting image information, and is characterized in that: the system also comprises an analysis front end connected with the camera, and a rear-end comprehensive early warning management and control analysis platform connected with the analysis front end and the camera; the analysis front end is composed of a full-flow video data acquisition module, a full-flow video data depth analysis module connected with the full-flow video data acquisition module, a full-flow video data intelligent alarm module connected with the full-flow video data depth analysis module, a full-flow video data safety module connected with the full-flow video data intelligent alarm module, and an efficient storage unit connected with the full-flow video data safety module.
The full-flow video data acquisition module is connected with the camera through the intelligent video data splitter by adopting a camera video flow mirroring technology, and completely acquires the data content shot by the camera while not influencing the transmission of image information from the camera to the monitoring platform.
The Mirroring technique is also called port Mirroring (port Mirroring), and snooping on a network is implemented by forwarding data traffic of one or more source ports to a certain designated port on a switch or a router. The designated port is called as a mirror port or a destination port, and the flow of the network can be monitored and analyzed through the mirror port under the condition that the normal throughput of the source port is not seriously influenced. The mirror image function is used in the enterprise, network data in the enterprise can be well monitored and managed, and when the network fails, the fault can be quickly positioned.
The camera video flow mirroring technology is a technology for mirroring the camera video flow by using a mirroring technology, so that the video flow is monitored, analyzed, displayed, stored and alarmed. The camera video data packet is passively acquired, no interaction with the existing video network exists, and the data packet is not sent to the existing video network, so that no image exists in the existing video network. When mirroring, the load of 2% -3% is generated to the CPU of the switch, and the whole forwarding efficiency is not affected.
Traditional network splitters may implement synthesis of M flows into N flows, where M may be greater than, equal to, or less than N.
The intelligent video data splitter is improved on the basis of the traditional network splitter, and can cut video flow data packets according to the set length, so that the flow is greatly reduced, and the investment of users is saved. Rough estimation, the video traffic can be reduced to 1/10 as it is by using the intelligent video data splitter.
The full-flow video data deep analysis module is used for analyzing the data acquired by the full-flow video data acquisition module and finding abnormal data through data analysis, wherein the abnormal data comprises data packet loss, repeated transmission, jitter, intervals and illegal access of external data generated in the data transmission process;
the working process of the full-flow video data depth analysis module is as follows:
(1) collecting data packets of video streams, and identifying, analyzing, calculating and counting the data packets packet by packet;
(2) creating metadata for the collected video data packet, wherein the metadata comprises source information of the data packet, destination platform information, a video stream type, a data packet number of the video stream, a serial number of the video stream, byte number, effective byte number and whether the data packet is a repeated data packet;
(3) separately storing metadata and the data packet;
(4) and (3) collecting the next video stream data packet, identifying, analyzing, calculating and counting the next data packet, simultaneously retrieving metadata according to analysis, searching for the original data packet according to the retrieval result of the metadata for comparison, and then returning to the step (2). Through tests, the PB level data volume can search results within tens of seconds, and the searching speed is greatly higher than that of similar products.
The traditional video data analysis module working mechanism is as follows: and periodically acquiring the video data stream by adopting a sampling mode, and then performing stream analysis on the acquired video stream, wherein the video stream which is not acquired cannot be analyzed. The video stream is composed of a large number of related video data packets, and the index of the video stream only represents the captured video stream, but cannot represent the video stream which is not captured, so the accuracy and precision are relatively low.
The full-flow video data deep analysis module collects each data packet of the video stream, and performs packet-by-packet identification, analysis, calculation, statistics and storage on each data packet instead of analyzing the whole stream, so that the index accuracy of the full-flow is far higher than that of the video stream.
The analysis granularity of the full-flow video data depth analysis module can reach the second level, namely, the index calculation is carried out on the collected video data packet every second, namely, the second level calculation, so the precision of the index is far higher than that of the traditional analysis module.
The second-level calculation is to calculate all the data packets collected every second by taking the second as a period, and calculate various statistical indexes. Such as: a video stream is transmitted for 10 seconds in total, and each second data packet of the video stream contains the same information and different information; the same information includes the information of the video stream, such as the source address, the destination address, the port number, the synchronization source identification, etc., which represents the identity attribute of the video stream; the different information includes the number of individual packets transmitted in each second, the sequence number of the packets, the number of bytes of the packets, the delay required to transmit the packets, and the number of duplicate packets.
Among them, the video stream is a stream in which a large number of video packets flow in sequence.
The second-level calculation is to count the above information of the acquired data packet every second with a second period, and store the second-level information respectively for retrieval.
The full-flow video data depth analysis module supports 40Gbps flow at most on the basis of meeting the requirements of full-flow and second-level analysis at the same time, namely when the 40Gbps flow is accessed, the analysis module can still realize full-flow collection and second-level analysis, and the capacity is a higher level in the industry. Although the traditional analysis module can also support 40Gbps traffic access, the traditional analysis module cannot simultaneously meet the analysis of full traffic and second level.
The full-flow video data intelligent alarm module classifies data according to the analysis result of the full-flow video data deep analysis module, labels abnormal data in the classification, and sends the labeled abnormal data to the full-flow video data safety module.
The full-flow video data security module sends abnormal data information to the rear-end comprehensive early warning management and control analysis platform, and meanwhile, corresponding abnormal data are stored in the high-efficiency storage unit.
The rear-end comprehensive early warning management and control analysis platform presents the overall situation of the overall connectivity of the camera, analyzes the received abnormal data information, synchronously completes the positioning of network fault points or illegal invasion behavior fault points and gives an alarm for the abnormal data; the alarm modes comprise local dashboard display, third-party dashboard display and sending mail to a designated mailbox; the alarm model and the threshold value need to be manually created or changed on a back-end comprehensive early warning management and control analysis platform in advance.
As described above, the present invention can be preferably realized.
Claims (1)
1. The utility model provides a video private network safety operation and maintenance early warning management and control system, includes the camera that is used for gathering image information, its characterized in that: the system also comprises an analysis front end connected with the camera, and a rear-end comprehensive early warning management and control analysis platform connected with the analysis front end and the camera; the analysis front end consists of a full-flow video data acquisition module, a full-flow video data depth analysis module connected with the full-flow video data acquisition module, a full-flow video data intelligent alarm module connected with the full-flow video data depth analysis module, a full-flow video data safety module connected with the full-flow video data intelligent alarm module, and an efficient storage unit connected with the full-flow video data safety module; the full-flow video data acquisition module is connected with the camera through an intelligent video data splitter by adopting a camera video flow mirroring technology, and completely acquires the data content shot by the camera while not influencing the transmission of image information to the monitoring platform by the camera; the full-flow video data depth analysis module is used for analyzing the data acquired by the full-flow video data acquisition module and finding abnormal data through data analysis, wherein the abnormal data comprises data packet loss, repeated transmission, jitter, intervals and illegal access of external data generated in the data transmission process, so that full-flow acquisition and second-level analysis are realized, and the positioning of the stuck, delayed, mosaic and invaded fault points in the video private network is further completed;
the working process of the full-flow video data depth analysis module is as follows:
(1) collecting data packets of video streams, and identifying, analyzing, calculating and counting the data packets packet by packet;
(2) creating metadata for the collected video data packet, wherein the metadata comprises source information of the data packet, destination platform information, a video stream type, a data packet number of the video stream, a serial number of the video stream, byte number, effective byte number and whether the data packet is a repeated data packet;
(3) separately storing metadata and the data packet;
(4) collecting the next video stream data packet, identifying, analyzing, calculating and counting the next data packet, simultaneously retrieving metadata according to analysis, searching for an original data packet according to the retrieval result of the metadata for comparison, and then returning to the step (2);
the full-flow video data intelligent alarm module classifies data according to the analysis result of the full-flow video data deep analysis module, labels abnormal data in the classification, and sends the labeled abnormal data to the full-flow video data safety module;
the full-flow video data security module sends abnormal data information to a rear-end comprehensive early warning management and control analysis platform, and simultaneously stores corresponding abnormal data into a high-efficiency storage unit;
the rear-end comprehensive early warning management and control analysis platform presents the overall situation of the overall connectivity of the camera, analyzes the received abnormal data information, synchronously completes the positioning of network fault points or illegal invasion behavior fault points and gives an alarm for the abnormal data; the alarm modes comprise local dashboard display, third-party dashboard display and sending mail to a designated mailbox; the alarm model and the threshold value need to be manually created or changed on a back-end comprehensive early warning management and control analysis platform in advance.
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