CN108205468A - A kind of distributed system and implementation method towards massive video image - Google Patents
A kind of distributed system and implementation method towards massive video image Download PDFInfo
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- CN108205468A CN108205468A CN201611170902.5A CN201611170902A CN108205468A CN 108205468 A CN108205468 A CN 108205468A CN 201611170902 A CN201611170902 A CN 201611170902A CN 108205468 A CN108205468 A CN 108205468A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The invention discloses a kind of distributed systems and implementation method towards massive video image, including input module, output module and distributed subsystem, the distributed subsystem includes load equalizer, the first module and the second module, first module includes multiple submodule, it is used for the video that will be received and/or Image Information Processing into object form and associated metadata information and is sent in second module, and the load equalizer is used to dynamically distribute the quantity of the first module Neutron module according to the input module and output module request Concurrency amount.The present invention has height autgmentability, support the direct video data storage of monitor video equipment, existing IP SAN compatible simultaneously, FC SAN and the safety defense monitoring systems such as centrally stored, can dynamically increase physical resource equipment for video monitoring system scale simultaneously transmits High-speed Video Data, and information storage tube reason mode can be based on space time information quick-searching efficient positioning video event in time.
Description
Technical field
The present invention relates to safety monitoring and cloud storage field more particularly to a kind of distribution systems towards massive video image
System and implementation method.
Background technology
With the fast development of smart city industry, the quick surge of mobile interchange equipment, security protection video monitoring field face
Face the storage demand of the unstructured video/audio of magnanimity, this proposes higher requirement to monitoring storage product.And it passes
System monitoring product is weak in mass data storage, also accelerates the paces that cloud storage product enters and capture security protection market.
Cloud storage is widely used in protection and monitor field, and has been increasingly becoming Video Surveillance Industry and has been deposited in face of mass data
Preferred solution during storage.
However, the conventional cloud storage system of versatility is but independent using cloud storage as storage end, isolate and particular row
The contact of industry, concrete application functions only as the basic roles such as reading and writing data, storage, safety guarantee in entire safety-protection system.It is general
Cloud storage system is by providing the reading and writing data mode of ITization, it is desirable that application end adapts to the operating mode of storage, so as to increase
The development task of application end elongates the operation flow of video storage, it is suppressed that reasonably optimize possibility to cloud storage.Therefore cloud is deposited
Storage in security protection industry to grow, developing, and in addition to inheriting the characteristics of it is essential advantage, should more understand security protection industry spy in depth
Point and needs, and play an active part in from front end to the entire data path Optimization Work end to end of storage.
Security protection grade in Video Surveillance Industry especially smart city monitors market, and one side equipment vendors are still using base
In traditional IPSAN etc. network storage mode rather than cloud storage scheme, deposited in autgmentability, dynamic migration, share and access etc.
Apparent insufficient；Another aspect cloud platform more provides or general cloud storage solution to take for security protection cloud storage
Business.Perhaps basic storage service can be provided for smart home environment in a short time to support, but in the long run especially towards
For the demand of smart city, this is far from enough.
Therefore, those skilled in the art be dedicated to developing it is a kind of meet City-level safety defense monitoring system to unified storage,
Dynamic capacity-expanding, intelligent O＆M demand and magnanimity monitor video/image data storage, the retrieval of optimization design distributed elastic
Cloud storage system has the following advantages：
1. at least large-scale distributed storage system of the data storage of carrying PB ranks；
2. can realize that data are restored, data galassing weighing apparatus, wrong data are detected and restored automatically automatically, reduce to greatest extent
The work of operation maintenance personnel；
3. the compatibility of the storage demand ability of pair traditional monitoring device, while a variety of open interfaces and SDK are provided, for third
Fang Yingyong and service access, strong guarantee is provided for data analysis and data sharing；
4. high reliability is supported；
5. all situation of physical equipment that pair storage system is related to provide the performance completed and condition monitoring, long-range fortune is realized
Dimension and early warning control.
Invention content
In view of the drawbacks described above of the prior art, the technical problems to be solved by the invention are to provide a kind of existing peace of solution
Anti- system and the insufficient distributed system and implementation method towards massive video image of cloud storage.
To achieve the above object, the present invention provides a kind of distributed system towards massive video image, including input
Module, output module and distributed subsystem, the distributed subsystem include load equalizer, the first module and the second mould
Block, first module include multiple submodule, are used for the video that will be received and/or Image Information Processing into object form
And associated metadata information and be sent in second module, the load equalizer is used for according to the input module
The quantity of the first module Neutron module is dynamically distributed with output module request Concurrency amount.
Further, second module includes first memory and second memory, and the first memory is used to deposit
The data information for storing up object form includes video clip object, video image objects and streaming storage inventory, wherein the video
Image object is based on the image corresponding to the key frame of video of event, and the streaming storage inventory is reflecting for positioning video segment
Penetrate relationship object collection；The second memory is used to store the metadata information of event and video associated with it and/image.
Further, the distributed subsystem further includes Peripheral Interface, with the input module and output module point
It does not connect to transmit into row information.
Further, the input module is monitoring device and/or monitoring system.
Further, the distributed subsystem further includes third module, is asked when the load equalizer receives access
The authentication made requests on when asking by the third module and certification.
Further, the distributed subsystem further includes the 4th module, is asked for what is sent according to the output module
It asks to obtain corresponding streaming storage inventory and store inventory according to the streaming of acquisition and transmits video clip object in streaming fashion extremely
The output module plays.
Further, the corresponding streaming storage inventory of acquisition request sent according to the output module includes following step
Suddenly：
Step 1：The output module sends out request and is transmitted to the load equalizer；
Step 2：The load equalizer, which will receive, asks to be fitted in the first mould submodule in the block to parse
Step 3：The search instruction parsed is sent to the second memory, the second memory is according to reception
Search instruction obtains corresponding streaming in the first memory by the metadata information of associated video and/image and stores clearly
It is single；
Step 4：The streaming retrieved storage inventory is sent to by the first module in the 4th module.
Meanwhile the present invention also provides a kind of distributed system implementation method towards massive video image, including distribution
Load equalizer in subsystem dynamically distributes the distribution according to the request Concurrency amount that input module and output module are sent out
Object gateway quantity in subsystem；Each object gateway is by the video received and/or the pairs of pictograph of Image Information Processing
Formula and associated metadata information are simultaneously sent to memory module.
Further, the memory module includes first memory and second memory, the first memory storage pair
The data information of pictograph formula includes video clip object, video image objects and streaming storage inventory, wherein the video image
Object is based on the image corresponding to the key frame of video of event, and the streaming storage inventory is that the mapping of positioning video segment is closed
It is object set；The second memory storage event and the metadata information of video associated with it and/image.
Further, the distributed subsystem further includes Peripheral Interface, with the input module and output module point
It does not connect to transmit into row information.
Further, the input module is monitoring device and/or monitoring system.
Further, the distributed subsystem further includes detection module, is asked when the load equalizer receives access
The authentication made requests on when asking by the detection module and certification.
Further, the distributed subsystem further includes Streaming Media execution module, is sent according to the output module
Acquisition request corresponding streaming storage inventory and inventory stored according to the streaming of acquisition transmit video clip pair in streaming fashion
As being played to the output module.
Further, the corresponding streaming storage inventory of acquisition request sent according to the output module includes following step
Suddenly：
Step 1：The output module sends out request and is transmitted to the load equalizer；
Step 2：Reception request is fitted to the corresponding object Petri net Central Shanxi Plain and parsed by the load equalizer
Step 3：The search instruction parsed is sent to the second memory, the second memory is according to reception
Search instruction obtains corresponding streaming in the first memory by the metadata information of associated video and/image and stores clearly
It is single；
Step 4：The streaming retrieved is stored into inventory, the Streaming Media execution mould is sent to by corresponding object gateway
In block.
The present invention provides a kind of distributed system and implementation method towards massive video image, and system has high extend
Property, it not only supports the direct video data storage of monitor video equipment, is also compatible with existing IPSAN, FCSAN, centrally stored etc.
Safety defense monitoring system；And can physical resource equipment be increased according to the scale dynamic of video monitoring system, it is safe and efficient to protect
Demonstrate,prove effective transmission of video data.Meanwhile it by the abundant interface of cloud platform, realizes big data linkage analysis, is believed based on space-time
The quick-searching of breath efficient positioning video event in time
The technique effect of the design of the present invention, concrete structure and generation is described further below with reference to attached drawing, with
It is fully understood from the purpose of the present invention, feature and effect.
Description of the drawings
Fig. 1 is the distributed subsystem hierarchical chart of the preferred embodiment of the present invention；
Fig. 2 is the distributed system schematic diagram towards massive video image of the preferred embodiment of the present invention.
Below in conjunction with the embodiment of the present invention, the technical solution in the embodiment of the present invention is clearly and completely described,
Obviously, described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, those of ordinary skill in the art's all other embodiments obtained without making creative work, all
Belong to the scope of protection of the invention.
Specific embodiment
The distributed subsystem hierarchical chart of preferred embodiment of the present invention as shown in Figure 1, including device virtualization layer,
Accumulation layer, storage management layer, business service supporting layer, business and big data analysis module.
Device virtualization layer is used to different physical storage devices being abstracted as unified storage resource so that upper strata stores
Layer unified distribution management, x86 servers, the IP-SAN storage devices using iSCSI protocol, SAN including being used to calculate storage
The FC-SAN storage devices of FC optical-fibre channels and NAS storage devices are used under framework.
Accumulation layer is regarded by the mapping of logical volume or disk array between transport protocol and standard memory device, realization
Frequently the services such as efficient write-in, reading and the calling of data are completed in, the communication connection between image data and device virtualization layer.
Accumulation layer includes video clip storage, picture storage, video streaming mapping inventory storage and the storage of space-time metadata.
Video clip storage is that the storage and management of video clip are carried out with object approach, can be solved using the form of object
Distributed document stores the drawbacks of operationally inaccurate and distributed storage can not ensure equilibrium, while uses and be based on entangling
It deletes the high robust that yard technology is realized and replicates collection strategy；
Picture storage is distributed in a manner that object stores in entire cloud storage cluster, passes through image ID quick association videos
Key frame realizes event quick-searching and comparison based on key frame；
Video streaming mapping inventory is the mapping inventory for video clip retrieval and positional parameter, can be according to video streaming
The corresponding video clip object of map listing quick obtaining and object picture of mapping, are deposited with solving video clip object flattening
The defects of storage can not be positioned quickly.Can corresponding video clip quickly be positioned by the mapping when video frequency searching and analysis,
To improve performance；
Space-time metadata is stored it and is used to retrieve video and picture based on event and the quick of space time information, packet
Spatio-temporal event information and related information are included, wherein spatio-temporal event information is for Information Numbers such as time and location of the storage based on event
According to the mapping association collection of the corresponding video pictures of event is stored in related information, can be obtained by related information corresponding
Video streaming map listing, so as to obtain corresponding video clip object and object picture according to video streaming map listing.
Storage management layer have object distribution, storage strategy, real time monitoring, data encryption, more replication policies, SSD cache,
The Core Features such as dynamic expansion, automatic reparation, to realize the high reliability of cloud storage system, high availability and enhanced scalability.
Business service supporting layer face includes load balancing module, shared interface, the straight storing module of video and device management module；
Load balancing module is used to according to resource request dynamic allocation of resources realize the distributed system of elasticity；
Shared interface provides flexibly open video data shared interface, such as uses the application based on restful l
Program Interfaces can support the camera device of deployment SDK, can also support existing monitoring system；
The straight storing module of video is realized that video data slave device end is directly stored into cloud storage system and for example will directly be imaged
The information of head acquisition directly stores in systems；
Device management module is for being managed collectively access device, certification and authentication etc..
Operation layer provides a variety of applications, such as real-time video playback, intelligent video analysis, face for the video resource of storage
It compares, generalized information system and image investigate function；
Big data analysis provides technical capability for a variety of applications of operation layer using the computing capability of cloud platform and supports, involved
And technology include aspect ratio, data mining, system interlink, intelligent O＆M and data source acquired.
The distributed system schematic diagram towards massive video image of preferred embodiment of the present invention as shown in Figure 2, including
Input module, output module and distributed elastic cloud storage system.
The present invention supports intrusive and non-intrusion type two ways to realize the storage of monitor video.
Input module is monitoring device and/or monitoring system.Specifically such as：Existing monitoring system is by accessing monitoring module
(such as：Access monitoring module includes device management server, streaming media server, center management server, web server and deposits
Store up server.) access distributed elastic cloud storage system, while also support directly to be deployed in SDK to access on camera to be distributed
Formula elasticity cloud storage system.
Output module is used to provide a variety of applications to the video resource of storage, such as passes through monitor client, browser clients
End and mobile client realize the functions such as video playback, intelligent video analysis, face comparison, generalized information system and image investigation.
Distributed elastic cloud storage system include Peripheral Interface, with the input module and output module connect respectively with
It is transmitted into row information.Specifically such as：The restfull api connections access monitoring module of distributed elastic cloud storage system and SDK portions
The external equipment of administration is (such as：Camera).
Distributed elastic cloud storage system includes load equalizer, authentication module and device management server, all accesses
After authentication that request is made requests on by authentication module and device management server and certification, load equalizer is according to request Concurrency
Amount configuration object gateway quantity.
Wherein object gateway is video clip and the essential elements of image key frame processing, while is also to realize across in data
Feel the core component of storage, video clip/image be stored in object form in object storage pool, at the same by video clip/
The metadata information of image is stored in space-time efficient storage resource pool.Wherein object storage pool includes streaming storage inventory, regards
Frequency fragment objects and video image.Space-time efficient storage resource pool includes spatio-temporal event information and related information.
Video clip object is the storage and management to video clip with object approach, can be solved point using the form of object
Cloth file stores the drawbacks of operationally inaccurate and distributed storage can not ensure equilibrium, while uses and be based on entangling deleting
The high robust that code technology is realized replicates collection strategy；
Video image is distributed in entire cloud storage cluster in a manner that object stores, and is regarded by image ID quick associations
Frequency key frame realizes event quick-searching and comparison based on key frame；
Streaming storage inventory is the mapping inventory for video clip retrieval and positional parameter, can be mapped according to video streaming
The corresponding video clip object of map listing quick obtaining and video image, with solve the flattening of video clip object storage nothing
The defects of method quickly positions.Can corresponding video clip quickly be positioned by the mapping when video frequency searching and analysis, to carry
High-performance；
Spatio-temporal event information is for the information datas such as time and location of the storage based on event, the corresponding video of event
And/or the mapping association collection of image is stored in related information, and corresponding video streaming mapping row can be obtained by related information
Table, so as to obtain corresponding video clip object and video pictures according to video streaming map listing.
The characteristics of present invention is for video clip storage provides management and the storage method of a kind of monitor video fragment objects
(rationally setting user's storage container title, stored file object oriented can complete the video record data of some cycles
Roll storage and quick-searching), can the quick-searching based on space time information video data be realized by this method.Specific implementation
Under：
1. parameter setting
A user's registration login accounts, account information include user name and key information, and wherein user name is that user uniquely marks
Know, key is used for the authentication and rights management of user.
B (such as uses Record_ in the holding time of input module (such as video monitoring system) setting video record
Days marks represent that value can set 30 days, 60 days or other values).
C video files are uploaded by slicing mode fragment, and the video duration that each slice represents also serves as a change
Amount injected by the configuration file of video monitoring platform (such as：It is described using Split_Time representated by each video clip
Duration, the value of specific Split_Time determines by the efficiency for storing and obtaining, and considers from video cloud stored angles, builds
The size of each video clip is discussed in 4MB.).
2. the setting of container name
Since container name is globally unique in entire cloud storage space, so distributed elastic cloud storage system names it
Certain normal constraint is taken, the container number that can be created including limiting each user.
Commonly enter module (such as；Video monitoring system) in use, container is created as unit of day, each
It is video clip obj ect files all in certain day to be managed in container.
The form of its container name：User name _ container number of distributed elastic cloud storage system, wherein container number represent
In entire which day rolled in storing, by recording current date with starting video time difference and Record_Days being taken
Remaining is the value.Initial time according to input module (such as；Video monitoring system) configuration setting.Such as
56bf868e356243768861dff662365cb4:Swfit_15 represents the particular user video information of the 15th day.
3. the setting of object name
Object contains information data and relevant attribute information, by object name unique mark, when specifically storing
A length of Split_Time video clip files, the form of object name：Unique mark _ video text of the monitoring device under the user
Part is numbered, and monitoring device IP address, MAC Address or monitor supervision platform can be used in wherein unique mark of the monitoring device under the user
It numbers to identify；Video file number is from 00:00:00 starts which segment for belonging to the video on the same day, and video can be used
The mode of recording time divided by Split_Time calculate or by perdurable data library storages.
4. characterize the setting of file (Manifest files)
Manifest files are used to characterize relationship between video clip, by Manifest file maintenances video content and
Mapping between each video clip.Manifest files can more preferably provide streaming and download effect simultaneously, be operated by Range,
Can be from the intermediate arbitrary portion reading of content of entire Manifest files, and the ability checked when downloading is provided.To ensure
Order, each video clip object ordered arrangement in Manifest files.
Specific such as Manifest files are as unit of hour or day, in order to promote the efficiency of Video data reading, can incite somebody to action
Manifest files are placed in unified container (such as user name of the entitled distributed elastic cloud storage system of container), are being distributed
Formula elasticity cloud storage system initialization procedure creates.When Manifest files are as unit of day, Manifest filenames
Referred to as unique mark _ N of the monitoring device under the user, file content are to be associated with relevant piece of video in the container of the N days
Section.
Distributed elastic cloud storage system includes streaming media server, and the request for being sent according to the output module obtains
It takes corresponding streaming storage inventory and inventory is stored according to the streaming of acquisition and transmit video clip object in streaming fashion to described
Output module plays.
The corresponding streaming storage inventory of acquisition request sent according to the output module includes the following steps：
Step 1：Output module (client) the transmission monitor video has access to request and is transmitted to the load equalizer；
Step 2：The load equalizer, which will receive, asks to be fitted in corresponding object gateway to parse
Step 3：The search instruction parsed is sent to space-time efficient storage resource pool, space-time efficient storage resource pool root
Corresponding streaming in object memory resource pool is obtained by related information according to the search instruction of reception and stores inventory；
Step 4：The streaming retrieved storage inventory is sent to streaming media server by corresponding object gateway.
The preferred embodiment of the present invention described in detail above.It should be appreciated that those of ordinary skill in the art without
Creative work is needed according to the present invention can to conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be in the protection domain being defined in the patent claims.
Claims (10)
1. a kind of distributed system towards massive video image, which is characterized in that including input module, output module and distribution
Subsystem, the distributed subsystem include load equalizer, the first module and the second module, and first module includes more
A submodule is used for the video that will be received and/or Image Information Processing into object form and associated metadata information
And be sent in second module, the load equalizer is used for according to the input module and output module request Concurrency amount
Dynamically distribute the quantity of the first module Neutron module.
2. as described in claim 1 towards the distributed system of massive video image, which is characterized in that the second module packet
First memory and second memory are included, the first memory includes video clip for the data information of storage object form
Object, video image objects and streaming storage inventory, wherein the video image objects are the key frame of video institutes based on event
Corresponding image, the streaming storage inventory are the mapping relation object collection of positioning video segment；The second memory is used for
The metadata information of storage event and video associated with it and/image.
3. as described in claim 1 towards the distributed system of massive video image, which is characterized in that the distribution subsystem
System further includes Peripheral Interface, connect to transmit into row information respectively with the input module and output module.
4. as described in claim 1 towards the distributed system of massive video image, which is characterized in that the input module is
Monitoring device and/or monitoring system.
5. as described in claim 1 towards the distributed system of massive video image, which is characterized in that the distribution subsystem
System further includes third module, the mirror made requests on when the load equalizer receives access request by the third module
Power and certification.
6. as claimed in claim 2 towards the distributed system of massive video image, which is characterized in that the distribution subsystem
System further includes the 4th module, and the corresponding streaming storage inventory of acquisition request and basis for being sent according to the output module obtain
The streaming storage inventory taken transmits video clip object to the output module and plays in streaming fashion.
7. as claimed in claim 6 towards the distributed system of massive video image, which is characterized in that according to the output mould
The corresponding streaming storage inventory of acquisition request that block is sent includes the following steps：
Step 1：The output module sends out request and is transmitted to the load equalizer；
Step 2：The load equalizer, which will receive, asks to be fitted in the first mould submodule in the block to parse；
Step 3：The search instruction parsed is sent to the second memory, the second memory is according to the retrieval of reception
Instruction obtains corresponding streaming in the first memory by the metadata information of associated video and/image and stores inventory；
Step 4：The streaming retrieved storage inventory is sent to by the first module in the 4th module.
8. a kind of distributed system implementation method towards massive video image, which is characterized in that including in distributed subsystem
The request Concurrency amount that is sent out according to input module and output module of load equalizer dynamically distribute in the distributed subsystem
Object gateway quantity；The video received and/or Image Information Processing into object form and are associated by each object gateway
Metadata information and be sent to memory module.
9. as claimed in claim 8 towards the distributed system implementation method of massive video image, which is characterized in that described to deposit
It stores up module and includes first memory and second memory, the data information of the first memory storage object form includes video
Fragment objects, video image objects and streaming storage inventory, wherein the video image objects are the Video Keys based on event
Image corresponding to frame, the streaming storage inventory are the mapping relation object collection of positioning video segment；The second memory
The metadata information of storage event and video associated with it and/image.
10. as claimed in claim 9 towards the distributed system implementation method of massive video image, which is characterized in that described
Distributed subsystem further includes Streaming Media execution module, is deposited according to the corresponding streaming of acquisition request that the output module is sent
It stores up inventory and video clip object to the output module is transmitted according to the streaming of acquisition storage inventory in streaming fashion and play.
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| CN113938640A (en) * | 2020-06-29 | 2022-01-14 | 希捷科技有限公司 | Selective use of cameras in a distributed surveillance system |
| CN113220935A (en) * | 2021-05-28 | 2021-08-06 | 杭州海康威视系统技术有限公司 | Video data storage and query method and device |
| CN113220935B (en) * | 2021-05-28 | 2023-03-24 | 杭州海康威视系统技术有限公司 | Video data storage and query method and device |
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