CN104038736A - Video data dynamic transmission method - Google Patents
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- CN104038736A CN104038736A CN201410233624.8A CN201410233624A CN104038736A CN 104038736 A CN104038736 A CN 104038736A CN 201410233624 A CN201410233624 A CN 201410233624A CN 104038736 A CN104038736 A CN 104038736A
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Abstract
The invention provides a video data dynamic transmission method. The video data dynamic transmission method comprises the following steps of 1 detecting whether a demand condition is set or not; 2 presetting the demand condition at the background; 3 sending a data invoking request to the front end; 4 collecting and requesting for all of relevant data through the front end; 5 intercepting data meeting the condition through the front end; 6 performing data transmission; 7 receiving the data through the background; 8 displaying and storing required information at the background. The real-time all-of-data transmitting problem is avoided through demand condition presetting and front end processing, the data volume transmitted to the background can be greatly decreased, the monitoring accuracy is greatly improved, a large amount of network transmission resources and storage spaces is saved, and the working efficiency and working quality of monitoring workers are optimized.
Description
Technical field
The present invention relates to a kind of data transmission method, specifically a kind of video data dynamic transmission method.
Background technology
The intellectual analysis of field of video monitoring research at present mainly concentrates on application end, in application end, data is carried out to intellectual analysis, for application provides decision-making auxiliary, realizes the optimization application to network and mainly depend on compression coding mode in transmission direction.Along with the application of the increase day by day of network data amount and further raising, the especially high definition device of video quality progressively increases for network and application end data processing pressure.How to realize the lightweight of video data intelligent use, that realizes transmitted data on network practically becomes a new demand direction.
Pass through investigation and analysis, correlative study at present and scheme, the overwhelming majority is based on front end compression coding, after sending entire data stream by network, carry out intellectual analysis application in rear end, but these scheme contents are all tended to, in application end, partial data is carried out to intellectual analysis, less to data transmission efficiency and the consideration of backend application load aspect, be specifically summarized as follows:
1, show that in conjunction with investigation situation the most video monitorings of power domain scene is larger in the time proportion of non-dynamic (being without significant change in guarded region) situation, transmit during this time a large amount of picture datas that repeat;
2, terminal intelligent when application is because needs processing video data amount is larger, causes client computer load heavier and then cause application to be experienced reducing;
3, do not make full use of ripe Intellectual Analysis Technology and realize the decomposition of application end pressure load.
Summary of the invention
In order to address the above problem, the invention provides a kind of video data dynamic transmission method, greatly improve the accuracy of transmission data, effectively save Internet resources.
The present invention is by the following technical solutions: video data dynamic transmission method, it is characterized in that, and described method comprises the following steps:
S1: detect whether established demand condition, if so, enter S3, if not, enter S2;
S2: backstage preset need condition;
S3: forward end sends data call request;
S4: the total data that front-end collection is relevant to request;
S5: front end intercepts qualified data;
S6: transfer of data;
S7: backstage receives data;
S8: backstage shows and stores information needed.
Further, default demand condition comprises one or more in following condition: Boundary Detection, mobile detection, article are left over, indicated extremely, instrument transfinites.
The data message that further, can collect comprises: video monitoring data that video decoding/encoding device and video capture device obtain, device status data, the interlock data that collect from outside interlocking equipment.
Further, outside interlocking equipment comprises with lower one or more: fence, infrared emission, smoke alarm.
Further, the detailed process that front end intercepts qualified data is: whether demand condition of the data that frontal chromatography collects, if so, data are retained, and if not, data are deleted, last, by standard compliant Data Integration together.
The invention has the beneficial effects as follows: by the processing of preset need condition and front end, avoid the problem of real-time transmission total data, the data volume that is sent to backstage is greatly reduced, not only greatly improve monitoring accuracy, and saved a large amount of network transmission resource and memory space, optimize monitor staff's operating efficiency and work quality.
Brief description of the drawings
Fig. 1 is schematic flow sheet of the present invention;
Fig. 2 is the schematic flow sheet under Boundary Detection demand condition of the present invention;
Fig. 3 is the schematic flow sheet under mobile detection demand condition of the present invention;
Fig. 4 is that article of the present invention are left over the schematic flow sheet under demand condition;
Fig. 5 is that the present invention indicates the schematic flow sheet under abnormal demand condition;
Fig. 6 is the schematic flow sheet that instrument of the present invention transfinites under demand condition.
Embodiment
Video data dynamic transmission method as shown in Figure 1, its realization need to utilize a consistency operation end and front end intelligent processing module, consistency operation end can be inputted instruction, show object information and storage data, front-end processing module is used for gathering, processes and transmission data, and whole method comprises the following steps:
S1: flow process starts automatic processing, detects whether established demand condition on backstage, if so, enters S3, if not, returns to S1 and arranges;
S2: according to the same day or when the needs of period, operating personnel on backstage default Boundary Detection, mobile detection, article leave over, indicate transfinite one or more in 5 kinds of demand conditions of abnormal, instrument;
S3: demand condition is converted into request by backstage, forward end module sends data call request;
S4: owing to there being following three kinds of data in the equipment of front-end module connection: video monitoring data, device status data, interlock data, when front-end module receives after request, can analyze required data lies in any data, then extract the data of corresponding kind, wherein, video monitoring data obtains from video decoding/encoding device and video capture device, device status data is obtained from each equipment, and interlock data are from outside interlocking equipment collections such as fence, infrared emission, smoke alarms;
S5: the difference of condition according to demand, front-end module is taking demand condition as Foundation standard, whether the data that analysis collects meet standard, if so, data are retained, if not, data are deleted, simultaneously can be according to the historical data of certain period of pre-conditioned preservation (as 10 minutes etc., this condition was configured as construction period initialization data), together by standard compliant Data Integration finally;
S6: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S7: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S8: required picture or the data of demonstration screen display of consistency operation end, and the data that obtain are stored in background server.
Below, be elaborated for the flow process of the inventive method under each demand condition.
Boundary Detection is that the protectiveness of carrying out for user-defined special section detects, and produces corresponding warning information in the time there is boundary crossover phenomenon.
As shown in Figure 2, the method flow under Boundary Detection demand condition is:
S101: setting Boundary Detection is demand condition, delimit a boundary line or a bounding box, set the border condition (as from certain side leap etc.) of setting out;
S102: demand condition is converted into request by backstage, forward end module sends data call request;
S103: front-end module receives after request, calls video monitoring data;
S104: front-end module taking delimit boundary line or bounding box as standard, determine object and borderline phase to situation and then determine whether the phenomenon of crossing the border by analyzing video data, if, picture data is retained, if not, data are deleted, last, the picture data of reservation is combined, form complete event flow process display data;
S105: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S106: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S107: the data that obtain are stored in background server, and picture is presented on display screen in real time, monitor staff reports to the police or reminds.
Mobile detection is the detection of moving for object in video scene (video camera viewfinder range), and this type of technology is used for static scene region (as fixed object, scene etc.).
As shown in Figure 3, the method flow under mobile detection demand condition is:
S201: selected target region, as the condition of mobile detection;
S202: demand condition is converted into request by backstage, forward end module sends data call request;
S203: front-end module receives after request, calls video monitoring data;
S204: front-end module is using selected target region as analyst coverage, determine in target area whether exist object to move by analyzing Frame data variation, trigger corresponding alarm if exist and data before and after alarm are retained to (according to the historical data of pre-conditioned reservation certain time length), finally, the picture data of reservation is combined, form complete event flow process display data;
S205: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S206: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S207: the data that obtain are stored in background server, and picture is presented on display screen in real time, send and remind or alarm to monitor staff simultaneously.
Article are left over the object that occurs in main finger user specified scope beyond acquiescence object (as maintenance finishes that rear instrument is left over etc.).
As shown in Figure 4, article are left over the method flow under demand condition and are:
S301: supposition Crimping Pliers is object, from corresponding scene selection standard picture as comparison standard, now in picture without Crimping Pliers;
S302: demand condition is converted into request by backstage, forward end module sends data call request;
S303: front-end module receives after request, calls video monitoring data according to the numbering of video camera;
S304: front-end module is to compare with the picture of numbering video camera, selected picture is standard, whether the picture in analysis monitoring data is consistent with selected picture, if so, picture data is deleted, if not, picture data is retained, finally, the picture data of reservation is combined, form complete event flow process display data;
S305: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S306: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S307: the data that obtain are stored in background server, and picture is presented on display screen in real time, monitor staff reminds attendant to collect and leaves over article.
Instruction is carried out status tracking mainly for instruction class instrument extremely, in the time that instrument instruction generation is abnormal, when as bright in stand by lamp, can in time field condition be offered to staff.
As shown in Figure 5, the method flow under instruction abnormal demand condition is:
S401: setting instruction is demand condition extremely, can select some instrument, also can select multiple instrument;
S402: demand condition is converted into request by backstage, forward end module sends data call request;
S403: front-end module receives after request, according to selected instrument invocation facility status data, if desired, also needs to call interlock data;
S404: front-end module, taking the data of instrument normal range (NR) as standard, is analyzed device status data and the interlock data called whether consistent with standard, if so, data is deleted, if not, retains data, finally, and by the Data Integration of reservation together;
S405: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S406: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S407: the data that obtain are stored in background server, and device numbering and abnormal data are presented on display screen, monitor staff goes to process before reminding attendant.
Instrument transfinites with instruction exception class seemingly, mainly for the processing of numeric class or pointer class indication information.Realize by default instruction threshold values the detection that instrument transfinites.
As shown in Figure 6, the method flow that instrument transfinites under demand condition is:
S501: set and refer to that instrument transfinites for demand condition, can select some instrument to set threshold values, also can select multiple instrument that a threshold values is set respectively;
S502: demand condition is converted into request by backstage, forward end module sends data call request;
S503: front-end module receives after request, according to selected instrument invocation facility status data;
Whether S504: front-end module is taking the threshold values set as standard, analyze data in invocation facility status data higher or lower than standard, if so, data retained, and if not, data deleted, last, by the Data Integration retaining together;
S505: front-end module is encoded the data after integrating, compress after processing, transfers data to consistency operation end;
S506: backstage receives after data, and the processing that decompresses and decode, is reduced to initial data by the data that receive;
S507: the data that obtain are stored in background server, and device numbering and abnormal data are presented on display screen, monitor staff goes to process before reminding attendant.
Video dynamic transmission is that guarantee event integrality generally can be carried out the storage of certain period historical data at front end, in the time there is the demand type that user sets, prioritised transmission real time video data picture (continues to transfer to Event triggered transmission when client determines after event or event finish certain event, but this time event a situation arises will record and be pushed to associated user), historical data to buffer memory and current real time data is stored until event finishes (manual confirmation event or abnormality finish) simultaneously, these type of data provide data supporting for convenience of customer survey whole event reason and process.
Adopt after this method, with work eight hours every days Time Calculation, within one day, there is twice event, each event continues event 10 minutes, default video recording preservation event 10 minutes, event finishes rear real-time Data Transmission and transfers dynamic transmission to after 10 minutes, can calculate discovery event and cause that transfer of data holds totally 40 minutes time to back-end client, and the time of 480 minutes (eight hours) is preserved the video data of 60 minutes altogether.
Compared to commonsense method duration data transmission in 480 minutes (directly the data of transmission application and data bandwidth are after treatment without significant change), adopt this method only to take 12.5% memory space, data volume obviously reduces.
Except structure of the present invention, all the other are prior art.
The above is the preferred embodiment of the present invention, for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvements and modifications, and these improvements and modifications are also regarded as protection scope of the present invention.
Claims (5)
1. video data dynamic transmission method, is characterized in that, described method comprises the following steps:
S1: detect whether established demand condition, if so, enter S3, if not, enter S2;
S2: backstage preset need condition;
S3: forward end sends data call request;
S4: the total data that front-end collection is relevant to request;
S5: front end intercepts qualified data;
S6: transfer of data;
S7: backstage receives data;
S8: backstage shows and stores information needed.
2. video data dynamic transmission method according to claim 1, is characterized in that, default demand condition comprises one or more in following condition: Boundary Detection, mobile detection, article are left over, indicated extremely, instrument transfinites.
3. video data dynamic transmission method according to claim 1 and 2, it is characterized in that, the data message that can collect comprises: video monitoring data that video decoding/encoding device and video capture device obtain, device status data, the interlock data that collect from outside interlocking equipment.
4. video data dynamic transmission method according to claim 3, is characterized in that, outside interlocking equipment comprises with lower one or more: fence, infrared emission, smoke alarm.
5. video data dynamic transmission method according to claim 3, it is characterized in that, the detailed process that front end intercepts qualified data is: whether demand condition of the data that frontal chromatography collects, if, data are retained, if not, data are deleted, together by standard compliant Data Integration finally.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104298194A (en) * | 2014-09-12 | 2015-01-21 | 快意电梯股份有限公司 | Method for compressing acquisition and transmission data in elevator remote monitoring system |
| CN105629305A (en) * | 2015-12-31 | 2016-06-01 | 中国石油天然气集团公司 | Method and device for monitoring earthquake acquisition data quality |
| CN108259816A (en) * | 2016-12-28 | 2018-07-06 | 比亚迪股份有限公司 | For the acquisition method and device of vehicle monitoring video |
| CN110276943A (en) * | 2019-04-11 | 2019-09-24 | 广州吉码电子科技有限公司 | Vehicle monitoring method, device and medium based on electronic lead sealing |
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| CN101867792A (en) * | 2010-05-14 | 2010-10-20 | 成都基业长青科技有限责任公司 | Real-time transmission method for video record buffering |
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| CN201238358Y (en) * | 2008-07-22 | 2009-05-13 | 北京康达永宜科技有限公司 | Full-view intelligent video monitoring hardware platform |
| CN101867792A (en) * | 2010-05-14 | 2010-10-20 | 成都基业长青科技有限责任公司 | Real-time transmission method for video record buffering |
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Cited By (4)
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| CN104298194A (en) * | 2014-09-12 | 2015-01-21 | 快意电梯股份有限公司 | Method for compressing acquisition and transmission data in elevator remote monitoring system |
| CN105629305A (en) * | 2015-12-31 | 2016-06-01 | 中国石油天然气集团公司 | Method and device for monitoring earthquake acquisition data quality |
| CN108259816A (en) * | 2016-12-28 | 2018-07-06 | 比亚迪股份有限公司 | For the acquisition method and device of vehicle monitoring video |
| CN110276943A (en) * | 2019-04-11 | 2019-09-24 | 广州吉码电子科技有限公司 | Vehicle monitoring method, device and medium based on electronic lead sealing |
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| CN104038736B (en) | 2015-12-02 |
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