CN104284141A - Video monitoring system - Google Patents
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- CN104284141A CN104284141A CN201310284867.XA CN201310284867A CN104284141A CN 104284141 A CN104284141 A CN 104284141A CN 201310284867 A CN201310284867 A CN 201310284867A CN 104284141 A CN104284141 A CN 104284141A
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Abstract
The invention provides a video monitoring system which comprises a video source, a video processing cloud and a video analysis cloud. The video source collects video signals through multiple video collection devices of different manufacturers and different types and outputs video streams or static images. The video processing cloud comprises multiple video processing cloud proxy servers, a proxy server distribution part and a general video analysis interface, wherein the proxy server distribution part distributes the video processing cloud proxy servers which can support the functions of the video collection devices according to the manufacturers, the types and the like of the video collection devices, and the video processing cloud proxy servers process the video streams or the static images from the video source, generate general video analysis data and output the general video analysis data through the general video analysis interface. The video analysis cloud comprises multiple video analysis nodes, analyzes the general video analysis data from the video processing cloud and carries out event reporting in real time according to requirements of a client.
Description
Technical field
The present invention relates to a kind of video monitoring system.Particularly relate to large-scale video monitoring system.
Background technology
Along with the development of the technology such as computer technology, network, multimedia technology and universal, video monitoring system has generally appeared in our society.Video monitoring system is for safeguarding that our society plays huge effect.
Further, in video monitoring system, image processing techniques is applied.Thus the video of supervision is analyzed, make video monitoring system have certain intelligent function.
In order to video monitoring system can be made to have image processing function, be in the patent application openly of CN200810168638.0 at publication number, disclose a kind of method realizing the video monitoring system of image procossing.
In this patent application, video monitoring system, after Video coding, sets up proxy server.Proxy server provides the method for video analysis, and provides the method for managing video source device, provides the methods such as administrative client.
Summary of the invention
Problem to be addressed by invention
But such video monitoring system, can not tackle large-scale video monitor purposes.Large-scale surveillance need to have real-time while process the ability of a large amount of monitoring pictures.
Monitor in purposes large-scale, first-class video capture device of making a video recording in a lot of situation produced by various different producer, and such video monitoring system of above-mentioned mentioned patent, can not the universally video equipment produced of corresponding various producer, and the general-purpose interface having and provide image to image analysis system can not be provided.
And such video monitoring system, for different supervision situations, can not adjust the configuration state of server neatly.
Due to above various reasons, need invention can tackle large-scale video monitor and more general and video monitoring system more flexibly.
The present invention is proposed in view of above-mentioned variety of problems.The object of the invention is a kind of Data Management Analysis method in order to provide video monitoring system and this video monitoring system, it can corresponding large-scale video monitoring camera, and the general video acquisition interface can supporting each producer's video equipment can be had, general video analysis interface can be had, and corresponding video analysis peak period and non-peak period can automatically can adjust the configuration of video monitoring system.
For solving the method for problem
One aspect of the present invention is a kind of video monitoring system, it is characterized in that, comprising: video source, and it utilizes different vendor, multiple video capture devices of model gather vision signal, outputting video streams or still image, Video processing cloud, it comprises multiple Video processing cloud proxy server, proxy server dispenser and generic video analysis interface, above-mentioned proxy server dispenser detects the IP of the multiple above-mentioned video capture device of above-mentioned video source, port numbers, production firm, the video capture device essential informations such as model, according to the manufacturer of above-mentioned video capture device, the distribution such as model has the above-mentioned Video processing cloud proxy server can supporting the function of this video capture device, above-mentioned Video processing cloud proxy server processes from the video flowing of above-mentioned video source or still image, generate generic video and analyze data, exported by above-mentioned generic video analysis interface, with video analysis cloud, it comprises multiple video analysis node, and analyze data analysis to the above-mentioned generic video from above-mentioned Video processing cloud, real-time event report is carried out in the requirement for client.
In above-mentioned video monitoring system, also can comprise by above-mentioned Video processing cloud proxy server: video interface unit, it provides the application programming interfaces of video capture device of different vendor, model, thus the video flowing that can receive from different vendor, model or still image; Reference format converting unit, during its video flowing when the criteria of right and wrong form from above-mentioned video source, this video flowing be converted to the video flowing of reference format and export, when the still image of the criteria of right and wrong form from above-mentioned video source, this still image be converted to the image of reference format and export, when from above-mentioned video source be video flowing or the image of reference format time directly export; Memory cell, it stores from the video flowing of the reference format of above-mentioned reference format converting unit or still image; Decoding unit, it carries out decoding and exporting when the video flowing of reference format or still image that are stored in said memory cells are not decoded, when the video flowing of reference format or still image being stored in said memory cells does not need directly to export during decoding; Display unit, its display is from the decoded video flowing of above-mentioned decoding unit or still image; Generic video analyzes data generating unit, and it analyzes data by being converted to above-mentioned generic video from the decoded video flowing of above-mentioned decoding unit or still image; And control interface unit, it communicates with above-mentioned proxy server dispenser, can accept the control of above-mentioned proxy server dispenser, thus adjusts the configuration of above-mentioned Video processing cloud proxy server.
In above-mentioned video monitoring system, also load balancing control part can also be comprised, it communicates with each above-mentioned video analysis node of above-mentioned video analysis cloud with each above-mentioned Video processing cloud proxy server, according to the load condition of above-mentioned Video processing cloud and above-mentioned video analysis cloud, the configuration of above-mentioned Video processing cloud and above-mentioned video analysis cloud is dynamically adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
In above-mentioned video monitoring system, also above-mentioned generic video analysis interface can adopt push-model, analyze data to the above-mentioned generic video of above-mentioned video analysis cloud active push.
In above-mentioned video monitoring system, also above-mentioned generic video analysis interface can adopt pull-mode, under the request of above-mentioned video analysis cloud, send above-mentioned generic video to above-mentioned video analysis cloud analyze data.
Another aspect of the present invention is a kind of Data Management Analysis method of video monitoring system, and described video monitoring system comprises: video source, and it utilizes different vendor, multiple video capture devices of model gather vision signal, outputting video streams or still image; Video processing cloud, it comprises multiple Video processing cloud proxy server, proxy server dispenser and generic video analysis interface; With video analysis cloud, it comprises multiple video analysis node, the feature of the Data Management Analysis method of above-mentioned video monitoring system is, comprise: Video processing cloud proxy server allocation step, detected the video capture device essential information such as IP, port numbers, production firm, model of the multiple above-mentioned video capture device of above-mentioned video source by above-mentioned proxy server dispenser, distribute according to the manufacturer, model etc. of above-mentioned video capture device and there is the above-mentioned Video processing cloud proxy server can supporting the function of this video capture device; Video-processing steps, is processed from the video flowing of above-mentioned video source or still image by above-mentioned Video processing cloud proxy server, generates generic video and analyzes data, exported by above-mentioned generic video analysis interface; And video analysis steps, the multiple above-mentioned video analysis node comprised by above-mentioned video analysis cloud analyzes data analysis to the above-mentioned generic video from above-mentioned Video processing cloud, and real-time event report is carried out in the requirement for client.
In the Data Management Analysis method of above-mentioned video monitoring system, also can comprise the steps: that above-mentioned video-processing steps comprises the steps: reference format switch process by above-mentioned video-processing steps, utilize the reference format converting unit in above-mentioned Video processing cloud proxy server, when the video flowing of the criteria of right and wrong form from above-mentioned video source, this video flowing be converted to the video flowing of reference format and export, when the still image of the criteria of right and wrong form from above-mentioned video source, this still image be converted to the image of reference format and export, when from above-mentioned video source be video flowing or the image of reference format time directly export, decoding step, utilize the decoding unit in above-mentioned Video processing cloud proxy server, carry out decoding and exporting when the video flowing of reference format or still image that are stored in said memory cells are not decoded, when the video flowing of reference format or still image being stored in said memory cells does not need directly to export during decoding, generic video analyzes data genaration step, utilizes the generic video in above-mentioned Video processing cloud proxy server to analyze data generating unit and analyzes data by being converted to generic video from the decoded video flowing of above-mentioned decoding unit or still image, analyze data with generic video and export step, utilize the generic video analysis interface in above-mentioned Video processing cloud to output to above-mentioned video analysis cloud by analyzing the generic video analysis data generated in data genaration step at generic video.
In the Data Management Analysis method of above-mentioned video monitoring system, also load balancing rate-determining steps can also be comprised, load balancing control part and each above-mentioned Video processing cloud proxy server is utilized to communicate with each above-mentioned video analysis node of above-mentioned video analysis cloud, according to the load condition of above-mentioned Video processing cloud and above-mentioned video analysis cloud, the configuration of above-mentioned Video processing cloud and above-mentioned video analysis cloud is adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
In the Data Management Analysis method of above-mentioned video monitoring system, also can analyze in data output step by above-mentioned generic video, the output that above-mentioned generic video analyzes data is push-model, analyzes data to the above-mentioned generic video of above-mentioned video analysis cloud active push.
In the Data Management Analysis method of above-mentioned video monitoring system, also can analyze in data output step by above-mentioned generic video, the output that above-mentioned generic video analyzes data is pull-mode, sends above-mentioned generic video analyze data under the request of above-mentioned video analysis cloud to above-mentioned video analysis cloud.
Invention effect
According to the present invention, a kind of Data Management Analysis method of video monitoring system and this video monitoring system can be provided, it can corresponding large-scale video monitoring camera, and the general video acquisition interface can supporting each producer's video equipment can be had, general video analysis interface can be had, and corresponding video analysis peak period and non-peak period can automatically can adjust the configuration of video monitoring system.
Accompanying drawing explanation
Fig. 1 is the block diagram of the system framework representing embodiments of the present invention 1.
Fig. 2 is the module map of the Video processing cloud proxy server representing embodiments of the present invention 1.
Fig. 3 represents that load balancing control part and Video processing cloud and video analysis cloud carry out the tables of data communicated.
Fig. 4 is the flow chart representing embodiments of the present invention 1.
Fig. 5 is the block diagram of the system framework representing embodiments of the present invention 2.
Embodiment
Below, with reference to accompanying drawing, embodiments of the present invention are described.In addition, the present invention be defined in this execution mode.
(execution mode 1)
Referring to Fig. 1, Fig. 2, present embodiment is described.Fig. 1 is the block diagram representing system framework of the present invention.As shown in Figure 1, the video monitoring system of present embodiment comprises: video source 101, Video processing cloud 105 and video analysis cloud 107.
Video source 101 utilizes different vendor, multiple video capture devices of model gather vision signal, outputting video streams or still image.Wherein, 1011 modules, 1012 modules are simulation camera and IP camera, and they can gather the vision signal of video monitoring system.1013 modules are DVR(digital video frequency recorder), this equipment, except having digital video recorder function, also has Video coding function.1014 modules are NVR(network video server), this equipment, except having digital video recorder function, also has Video coding function.1015 modules are digital video code, also have Video coding function.DVR1013, NVR1014 and digital video code 1015 are connected with simulation camera 1011, can to digital encoding video signal, thus realize the function that video preserves or carry out transmission of video.Wherein in transmission of video function, DVR1013, NVR1014 and digital video code 1015 can as servers, to client transmissions digital video.The video server of DVR1013, NVR1014 and digital video code 1015 can be the server of RTP/RTCP standard, also can be the server of video equipment producer proprietary protocol.
Video processing cloud 105 comprises multiple Video processing cloud proxy server 102, proxy server dispenser 103 and generic video analysis interface 104.
Proxy server dispenser 103 detects the video capture device essential information such as IP, port numbers, production firm, model of multiple video capture devices of video source 101, and manufacturer, model etc. according to video capture device distribute the Video processing cloud proxy server 102 with the function can supporting this video capture device.
Video processing cloud proxy server 102 processes from the video flowing of video source 101 or still image, generates generic video and analyzes data, exported by generic video analysis interface 104.Generic video analysis interface 104 can adopt and push away (push) pattern, analyzes data to video analysis cloud 107 active push generic video; Also can adopt and draw (pull) pattern, under the request of video analysis cloud 107, send generic video to video analysis cloud 107 analyze data.
Generic video is analyzed data and is generally picture format, such as jpg, png, bmp etc.
Video analysis cloud 107 comprises multiple video analysis node 106, and analyze data analysis to the generic video from Video processing cloud 105, real-time event report is carried out in the requirement for client.
Fig. 2 is the module map representing Video processing cloud proxy server of the present invention.As shown in Figure 2, Video processing cloud proxy server 102 comprises: video interface unit 1021, reference format converting unit 1022, memory cell 1023, decoding unit 1024, display unit 1025, generic video analyze data generating unit 1026 and control interface unit 1027.
Video interface unit 1021 provides the application programming interfaces (API) of video capture device of different vendor, model, thus the video flowing that can receive from different vendor, model or still image.
The SDK (SDK) that the manufacturer that reference format converting unit 1022 calls the video capture device of video source 101 provides, the video flowing of the noncanonical format in the video flowing from video source 101 is converted to the video flowing of reference format and exports, the still image of the noncanonical format in the still image from video source 101 be converted to the still image of reference format and export, directly exporting from the video flowing of the standard in the video flowing of video source 101 or still image or still image.
Memory cell 1023 stores video flowing from the reference format of reference format converting unit 1022 or still image.
Decoding unit 1024 is decoded to the video flowing of the needs decoding be stored in the video flowing of reference format of memory cell 1023 or still image or still image and exports, and the video flowing not needing to decode be stored in the video flowing of the reference format of memory cell 1023 or still image or still image is directly exported.
Display unit 1025 shows decoded video flowing from decoding unit 1024 or still image.
The decoded video flowing of generic video analysis data generating unit 1026 self-demarking code in the future unit 1024 or still image are converted to generic video and analyze data.
Control interface unit 1027 communicates with proxy server dispenser 103, can accept the control of proxy server dispenser 103, thus the configuration of adjustment Video processing cloud proxy server 102.
In addition, the arrow line in Fig. 2 only schematically shows the direction of transfer of data, in fact can think that all modules are all connected to each other.In addition, above-mentioned each module can realize by the mode of hardware, also can realize by the mode of software.
Fig. 3 represents that load balancing control part 108 and Video processing cloud 105 and video analysis cloud 107 carry out an example of the tables of data communicated.Fig. 3 illustrate only the gauge outfit of tables of data.Field 401(Source IP) be the IP address of communication source.Field 402(Destination IP) be the IP address of communications destination.Field 403(Source Port) be the communication port of communication source.Field 404(Destination Port) be the communication port of communications destination.Field 405(Protocol) be the communication protocol adopted.Field 406(NW Velocity) be network speed.Field 407(CPU State) be the state of video analysis cloud 107 node cpu.Field 408(Memory State) be the state of video analysis cloud 107 node memory.Load balancing control part 108 is configured Video processing cloud 105 and video analysis cloud 107 according to the state, field 408 internal storage state etc. of the CPU of field 407.
Below in conjunction with Fig. 4, the flow process of present embodiment is described.
First, detected the video capture device essential information such as IP, port numbers, production firm, model of multiple video capture devices of video source 101 by proxy server dispenser 103, manufacturer, model etc. according to video capture device distribute the Video processing cloud proxy server 102(step S1 with the function can supporting this video capture device).Due to the video equipment for different manufacturers, need different platforms, such as Windows, Linux, 32,64 etc.Proxy server dispenser 103 is according to the video capture device of different manufacturers, and according to situations such as cost, efficiency, configuration statuses, for different video collecting device provides the Video processing cloud proxy server 102 with the platform supporting corresponding video collecting device.
Then, the video capture device of Video processing cloud proxy server 102 pairs of video source 101 sends request, and obtains video flowing or still image (step S2).Because the video interface unit 1021 in Video processing cloud proxy server 102 provides the application programming interfaces (API) of video capture device of different vendor, model, so the video flowing that can receive from different vendor, model or still image.
Then, judge whether the video flowing that obtains or still image are reference format (step S3).This is because the video flowing that provides of different vendor or still image differ be decided to be reference format, be likely privately owned form or uncommon form, this brings difficulty, so need advanced row relax to follow-up decoding.H.264 etc. reference format can be common various video flowing or picture format, and such as video flowing can be MPEG2, picture can be jpg, png, bmp etc.
When the video flowing obtained or still image are judged as YES reference format, directly export.When the video flowing obtained or still image are judged as not being reference format, call by reference format converting unit 1022 SDK (SDK) that each manufacturer provides, be converted into reference format and export (step S4).
Then, the video flowing of reference format or still image are stored in memory cell 1023(step S5).
Then, judge that the video flowing of this reference format or still image are the need of decoding (step S6).If be judged as not needing decoding, directly export.If be judged as needing decoding, then export (step S7) after being decoded by decoding unit 1024.Decoded video flowing or picture may be displayed on display unit 1025 as required.
Then, in the future the decoded video flowing of self-demarking code unit 1024 or still image are converted to generic video and analyze data (step S8) to analyze data generating unit 1026 by generic video.The corresponding instruments such as Ffmpeg can be adopted in this step.Generic video is analyzed data and is generally picture format, such as jpg, png, bmp etc.
Then, generic video is analyzed data to be exported (step S9) by generic video analysis interface 104.Generic video analysis interface 104 can adopt and push away (push) pattern, analyzes data to video analysis cloud 107 active push generic video; Also can adopt and draw (pull) pattern, under the request of video analysis cloud 107, send generic video to video analysis cloud 107 analyze data.
Finally, analyze data analysis by video analysis cloud 107 to the generic video from Video processing cloud 105, real-time event report (step S10) is carried out in the requirement for client.
(execution mode 2)
Above-mentioned execution mode 1 achieves basic function of the present invention, but in large-scale video monitoring system, there is peak period and non-peak period in the processing load of Video processing cloud 105 and video analysis cloud 107, distribute equal resource and may there is waste at non-peak period, and may inadequate resource in peak period.So solve this problem in present embodiment.
Referring to Fig. 5, embodiments of the present invention 2 are described.As shown in Figure 5, present embodiment is except having added load balancing control part 108, identical with execution mode 1.
Load balancing control part 108 communicates with each video analysis node 106 of video analysis cloud 107 with each Video processing cloud proxy server 102, according to the load condition of Video processing cloud 105 and video analysis cloud 107, the configuration of Video processing cloud 105 and video analysis cloud 107 is dynamically adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
Equally, the flow process of execution mode 2 is except having added load balancing rate-determining steps (not shown), also substantially identical with execution mode 1.
In load balancing rate-determining steps, load balancing control part 108 communicates with each video analysis node 106 of video analysis cloud 107 with each Video processing cloud proxy server 102, according to the load condition of Video processing cloud 105 and video analysis cloud 107, the configuration of Video processing cloud 105 and video analysis cloud 107 is dynamically adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
In the load balancing carried out Video processing cloud 105 controls, such as proxy server dispenser 103 finds to there is multiple satisfactory Video processing cloud proxy server 102 when distributing Video processing cloud proxy server for camera 1011, and when not having load balancing control part 108, the mode of general Stochastic choice Video processing cloud proxy server or employing repeating query is distributed successively.But be Random assignment or repeating query distribute and all there is a problem, that is, the Video processing cloud proxy server had may extremely busyly even crash, and have very not busy.Therefore pass through in the present embodiment to add load balancing control part 108, the state such as CPU usage, memory usage, response time of each Video processing cloud proxy server is monitored, whether busy the information such as CPU usage, memory usage, response time according to each Video processing cloud proxy server judge, dynamically adjustment is assigned to the task of each Video processing cloud proxy server.Such as when non-peak period, the general load of each Video processing cloud proxy server is lower, can by the task merging on the Video processing cloud proxy server of the same type that can merge on one or several Video processing cloud proxy server, and by other closedown or make it to be in low-power consumption standby state.And when peak period, enable these and close or standby Video processing cloud proxy server, recover the task above them.When certain Video processing cloud proxy server load is too high, also can by the task transfers above it on the low Video processing cloud proxy server of the same type of other loads.In the process of this dynamic conditioning, not only shift source file, the intermediate file of task process, also shift project file, log file etc., it is seamless for user.
In the load balancing carried out video analysis cloud 107 controls, similarly, the state such as CPU usage, memory usage, response time of each video analysis node is monitored, whether busy CPU usage, memory usage, response time etc. according to each video analysis node judge, dynamically adjustment is assigned to the task of each video analysis node.Such as when non-peak period, the general load of each video analysis node is lower, can by the task merging on multiple video analysis node on one or several video analysis node, and by other closedown or make it to be in low-power consumption standby state.And when peak period, enable these and close or standby video analysis node, recover the task above them.When certain video analysis node load is too high, also can by the task transfers above it on the low video analysis node of other loads.In the process of this dynamic conditioning, not only shift source file, the intermediate file of task process, also shift project file, log file etc., it is seamless for user.
(embodiment 1)
Below a specific embodiment 1 of the present invention is described in detail.
As shown in Figure 1,1011 is simulation camera, and 1013 is DVR, 1014 is NVR, 1013(or 1014) be DS8000 series DVR(or NVR that such as Haikang company manufactures), the operating system required by SDK is 32-bit Windows operating system, and video stream format is the privately owned form of producer.1012 is IP camera, the camera of DH-IPC series that such as great Hua company manufactures, and the operating system that SDK can run is the (SuSE) Linux OS of 64, video stream format be common format H.264.Here illustrate only two cameras for convenience of explanation, in fact the quantity of camera can be very many, and producer, model can be different.
First DVR1013 is detected by proxy server dispenser 103, the production firm of NVR1014 and camera 1012, the essential informations such as model, distribute Video processing cloud proxy server (step S1), herein, due to for DVR1013(or NVR1014) SDK need to operate in 32-bit Windows environment under, so proxy server dispenser 103 from multiple Video processing cloud proxy server 102, select satisfactory 32-bit Windows system and the Video processing cloud proxy server 102(being provided with this SDK in order to distinguish, be labeled as 102a, and all add a) after the label of the intraware of this Video processing cloud proxy server 102.Similarly, due to may operate in 64 for the SDK of camera 1012 Linux environment under, so proxy server can from cost, efficiency is angularly set out, and (Linux server is better than Windows server on cost, and 64 bit manipulation systems are better than 32-bit operating system in efficiency), the simultaneously state (such as whether having 64 available Linux server) of server from existing video proxy cloud, dispenser 103 selects satisfactory 64 linux systems from multiple Video processing cloud proxy server 102 and the Video processing cloud proxy server 102(being provided with this SDK is labeled as 102b for the time being).
Then, Video processing cloud proxy server 102a sends request DVR1013, obtains video flowing TS1, and Video processing cloud proxy server 102b sends request camera 1012, obtains video flowing TS2(step S2).
Here, the form of video flowing TS1 is the privately owned form of Haikang company, can not by general decoders decode, so need first to be converted to reference format.Reference format converting unit 1022a judges that TS1 is privately owned form, and be MPEG2 by its format transformation in the present embodiment, the video flowing after format conversion is labeled as TS1 ' (step S4).And H.264 the form of video flowing TS2 is, reference format converting unit 1022b judges that TS2 is reference format, directly exports (step S3).Whether the definition of reference format is unique, can be decoded decide by decoding unit 1024, in the present embodiment, because decoding unit 1024 can be decoded MPEG2 and H.264, be just decided to be MPEG2 and H.264 in a standard format.
Then, video flowing TS1 ', the TS2 of reference format are stored in memory cell 1023a, 1023b(step S5).Then, decoding unit 1024a, 1024b are judged as that video flowing TS1 ', TS2 need to decode (step S6), are undertaken decode (step S7) by decoding unit 1024a, 1024b.
Then, be converted to generic video by the decoded video flowing of generic video analysis data generating unit 1026a, 1026b self-demarking code in the future unit 1024a, 1024b and analyze data (step S8).In the present embodiment, it is jpg picture that generic video analyzes data.
Then, the jpg picture analyzing data as generic video is outputted to video analysis cloud 107(step S9 by generic video analysis interface 104).Generic video analysis interface 104 can adopt and push away (push) pattern, analyzes data to video analysis cloud 107 active push generic video; Also can adopt and draw (pull) pattern, under the request of video analysis cloud 107, send generic video to video analysis cloud 107 analyze data.Under pull-mode, such as, call the video flowing be stored in memory cell 1023 according to the demand of user, carry out step S6 ~ S8 and decode and send to Video processing cloud after generating jpg picture.
Finally, analyzed the jpg picture analyzing data as generic video by video analysis cloud 107, real-time event report (step S10) is carried out in the requirement for client.The method of known picture analyzing process can be adopted to the analysis of picture.When meeting the event of definition, such as, in traffic monitoring system, there is the license plate number that will search, occur suspicious actions etc. in bank monitoring system, notify at once to user.
(embodiment 2)
Then specific embodiments of the invention 2 are described in detail.In embodiment 2 except also there is load balancing control part 108, identical with the structure of embodiment 1.Illustrate that the load balancing that load balancing control part 108 pairs of Video processing clouds 105 carry out controls and controls the load balancing that video analysis cloud 107 carries out below respectively.
In the present embodiment, proxy server dispenser 103 finds existence three satisfactory Video processing cloud proxy server 102a1,102a2,102a3(herein when distributing Video processing cloud proxy server for camera 1011, being decided to be three for the purpose of simplifying the description, in fact can be individual arbitrarily).These three Video processing cloud proxy servers 102a1,102a2,102a3 all can accept the video flowing of camera 1011, and can be reference format MPEG2 by the privately owned format conversion of Haikang company.
By the Real-Time Monitoring of load balancing control part 108 to each Video processing cloud proxy server 102a1,102a2,102a3, the CPU usage of discovery Video processing cloud proxy server 102a1 is 5%, the CPU usage of Video processing cloud proxy server 102a2 is 7%, and the CPU usage of Video processing cloud proxy server 102a3 is 13%.Here the demand of CPU usage to the computing capability of reply Video processing cloud proxy server is supposed.The computing capability of setting video process cloud proxy server 102a1,102a2,102a3 is 100, so total computing capability is 100+100+100=300.In the present embodiment, the computing capability of three Video processing cloud proxy servers is identical, also needs to be multiplied by respective weights if not identical.The demand of current computing capability is 5+7+13=25, lower than total computing capability (300) × first threshold (40%)=120, so be judged as currently being in non-peak period.This first threshold is not limited to 40%, can be arranged, preferably lower than 50% according to actual conditions by user.
And, current capability requirement 25 is also lower than single Video processing cloud proxy server computing capability (100) × Second Threshold (80%)=80, so by the task merging of three Video processing cloud proxy servers to Video processing cloud proxy server 102a1, make Video processing cloud proxy server 102a2,102a3 low-power consumption standby.This Second Threshold is also not limited to 80%, can be arranged according to actual conditions by user, but lower than 100%, preferably lower than 90%.The task merging of three Video processing cloud proxy servers can certainly be made another two low-power consumption standbies to Video processing cloud proxy server 102a2 or 102a3.When the more and capability requirement of Video processing cloud proxy server is higher than single Video processing cloud proxy server computing capability × Second Threshold, when the CPU usage of the single Video processing cloud proxy server after namely merging may exceed Second Threshold, load balancing control part 108 distributes each task intelligently, makes the CPU usage of the Video processing cloud proxy server after merging task all be no more than Second Threshold.
And when capability requirement is higher than total computing capability (300) × first threshold (40%)=120, load balancing control part 108 is judged as being in peak period.Enable Video processing cloud proxy server 102a2,102a3, recover the task above them, stop the corresponding task on 102a1 simultaneously.In addition, such as, when the CPU usage of Video processing cloud proxy server 102a1 is higher than Second Threshold (80%), by the task transfers above it to 102a2 or 102a3.Load balancing control part 108 distributes each task intelligently in a word, makes the CPU usage of each Video processing cloud proxy server all be no more than Second Threshold.
In the process of this dynamic conditioning, not only shift source file, the intermediate file of task process, also shift project file, log file etc., it is seamless for user.
Control also to adopt similar mode to carry out to the load balancing that video analysis cloud 107 carries out.
Control to have done simple explanation to the load balancing of load balancing control part 108 for CPU usage in the present embodiment, also need in practical application to consider the index such as memory usage, response time.
Above embodiments of the present invention and specific embodiment are illustrated, but the present invention is not defined in above-mentioned execution mode.Such as, other the execution mode that also can realize at random combining the inscape described in this specification is as embodiments of the present invention.In addition, for above-mentioned execution mode, do not departing from the scope of the meaning shown in the word described in purport of the present invention and claims, implementing the various distortion that can expect of those skilled in the art and obtain variation and be also contained in the present invention.
Industrial utilizes possibility
According to the present invention, a kind of Data Management Analysis method of video monitoring system and this video monitoring system can be provided, it can corresponding large-scale video monitoring camera, and the general video acquisition interface can supporting each producer's video equipment can be had, general video analysis interface can be had, and corresponding video analysis peak period and non-peak period can automatically can adjust the configuration of video monitoring system.This is very useful for large-scale video monitoring system.
Claims (14)
1. a video monitoring system, is characterized in that, comprising:
Video source, it utilizes different vendor, multiple video capture devices of model gather vision signal, outputting video streams or still image;
Video processing cloud, it comprises multiple Video processing cloud proxy server, proxy server dispenser and generic video analysis interface, described proxy server dispenser detects the IP of the multiple described video capture device of described video source, port numbers, production firm, the video capture device essential informations such as model, according to the manufacturer of described video capture device, the distribution such as model has the described Video processing cloud proxy server can supporting the function of this video capture device, described Video processing cloud proxy server processes from the video flowing of described video source or still image, generate generic video and analyze data, exported by described generic video analysis interface, with
Video analysis cloud, it comprises multiple video analysis node, and analyze data analysis to the described generic video from described Video processing cloud, real-time event report is carried out in the requirement for client.
2. video monitoring system as claimed in claim 1, is characterized in that:
Described Video processing cloud proxy server comprises:
Video interface unit, it provides the application programming interfaces of video capture device of different vendor, model, thus the video flowing that can receive from different vendor, model or still image;
Reference format converting unit, during its video flowing when the criteria of right and wrong form from described video source, this video flowing be converted to the video flowing of reference format and export, when the still image of the criteria of right and wrong form from described video source, this still image be converted to the image of reference format and export, when from described video source be video flowing or the image of reference format time directly export;
Memory cell, it stores from the video flowing of the reference format of described reference format converting unit or still image;
Decoding unit, it carries out decoding and exporting when the video flowing of reference format or still image that are stored in described memory cell are not decoded, when the video flowing of reference format or still image being stored in described memory cell does not need directly to export during decoding;
Display unit, its display is from the decoded video flowing of described decoding unit or still image;
Generic video analyzes data generating unit, and it analyzes data by being converted to described generic video from the decoded video flowing of described decoding unit or still image; With
Control interface unit, it communicates with described proxy server dispenser, can accept the control of described proxy server dispenser, thus adjusts the configuration of described Video processing cloud proxy server.
3. video monitoring system as claimed in claim 1 or 2, is characterized in that:
Also comprise load balancing control part, its with Video processing cloud proxy server described in each with described video analysis cloud each described in video analysis node communicate, according to the load condition of described Video processing cloud and described video analysis cloud, the configuration of described Video processing cloud and described video analysis cloud is dynamically adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
4. video monitoring system as claimed in claim 1 or 2, is characterized in that:
Described generic video analysis interface adopts push-model, analyzes data to generic video described in described video analysis cloud active push.
5. video monitoring system as claimed in claim 3, is characterized in that:
Described generic video analysis interface adopts push-model, analyzes data to generic video described in described video analysis cloud active push.
6. video monitoring system as claimed in claim 1 or 2, is characterized in that:
Described generic video analysis interface adopts pull-mode, sends described generic video analyze data under the request of described video analysis cloud to described video analysis cloud.
7. video monitoring system as claimed in claim 3, is characterized in that:
Described generic video analysis interface adopts pull-mode, sends described generic video analyze data under the request of described video analysis cloud to described video analysis cloud.
8. a Data Management Analysis method for video monitoring system, described video monitoring system comprises: video source, and it utilizes different vendor, multiple video capture devices of model gather vision signal, outputting video streams or still image; Video processing cloud, it comprises multiple Video processing cloud proxy server, proxy server dispenser and generic video analysis interface; With video analysis cloud, it comprises multiple video analysis node, and the feature of the Data Management Analysis method of described video monitoring system is, comprising:
Video processing cloud proxy server allocation step, detected the video capture device essential information such as IP, port numbers, production firm, model of the multiple described video capture device of described video source by described proxy server dispenser, distribute according to the manufacturer, model etc. of described video capture device and there is the described Video processing cloud proxy server can supporting the function of this video capture device;
Video-processing steps, is processed from the video flowing of described video source or still image by described Video processing cloud proxy server, generates generic video and analyzes data, exported by described generic video analysis interface; With
Video analysis steps, the multiple described video analysis node comprised by described video analysis cloud analyzes data analysis to the described generic video from described Video processing cloud, and real-time event report is carried out in the requirement for client.
9. the Data Management Analysis method of video monitoring system as claimed in claim 8, is characterized in that:
Described video-processing steps comprises the steps:
Reference format switch process, utilize the reference format converting unit in described Video processing cloud proxy server, when the video flowing of the criteria of right and wrong form from described video source, this video flowing be converted to the video flowing of reference format and export, when the still image of the criteria of right and wrong form from described video source, this still image be converted to the image of reference format and export, when from described video source be video flowing or the image of reference format time directly export;
Decoding step, utilize the decoding unit in described Video processing cloud proxy server, carry out decoding and exporting when the video flowing of reference format or still image that are stored in described memory cell are not decoded, when the video flowing of reference format or still image being stored in described memory cell does not need directly to export during decoding;
Generic video analyzes data genaration step, utilizes the generic video in described Video processing cloud proxy server to analyze data generating unit and analyzes data by being converted to generic video from the decoded video flowing of described decoding unit or still image; With
Generic video is analyzed data and is exported step, utilizes the generic video analysis interface in described Video processing cloud to output to described video analysis cloud by analyzing the generic video analysis data generated in data genaration step at generic video.
10. the Data Management Analysis method of video monitoring system as claimed in claim 8 or 9, is characterized in that:
Also comprise load balancing rate-determining steps, utilize load balancing control part and Video processing cloud proxy server described in each and described video analysis cloud each described in video analysis node communicate, according to the load condition of described Video processing cloud and described video analysis cloud, the configuration of described Video processing cloud and described video analysis cloud is adjusted, to tackle the burden requirement of peak period and non-peak period flexibly.
The Data Management Analysis method of 11. video monitoring systems as claimed in claim 8 or 9, is characterized in that:
Described generic video is analyzed data and is exported in step, and the output that described generic video analyzes data is push-model, analyzes data to generic video described in described video analysis cloud active push.
The Data Management Analysis method of 12. video monitoring systems as claimed in claim 11, is characterized in that:
Described generic video is analyzed data and is exported in step, and the output that described generic video analyzes data is push-model, analyzes data to generic video described in described video analysis cloud active push.
The Data Management Analysis method of 13. video monitoring systems as claimed in claim 8 or 9, is characterized in that:
Described generic video is analyzed data and is exported in step, and the output that described generic video analyzes data is pull-mode, sends described generic video analyze data under the request of described video analysis cloud to described video analysis cloud.
The Data Management Analysis method of 14. video monitoring systems as claimed in claim 13, is characterized in that:
Described generic video is analyzed data and is exported in step, and the output that described generic video analyzes data is pull-mode, sends described generic video analyze data under the request of described video analysis cloud to described video analysis cloud.
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