CN105472323A - Network monitoring method based on time slot division and network monitoring system based on time slot division - Google Patents
Network monitoring method based on time slot division and network monitoring system based on time slot division Download PDFInfo
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- CN105472323A CN105472323A CN201510802941.1A CN201510802941A CN105472323A CN 105472323 A CN105472323 A CN 105472323A CN 201510802941 A CN201510802941 A CN 201510802941A CN 105472323 A CN105472323 A CN 105472323A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
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Abstract
The invention relates to the monitoring technology field and particularly relates to a network monitoring method based on time slot division and a network monitoring system based on time slot division. According to the method, a video data flow is divided into continuous video data flow segments, the bandwidth is divided into N time slots equally, the first time slot is taken as a preferred time slot, a trigger event of which the detection result is yes is uploaded, first time transmission of a video monitoring emergent event is guaranteed, other events are further uploaded to a cloud memory, data storage amount is greatly improved, and high effectiveness of data transmission and data storage can be guaranteed. The network monitoring system comprises a video data division unit, a detection determination unit, a processing unit, a transmission unit and a layout unit, first time transmission of the video monitoring emergent event is guaranteed, other events are further uploaded to the cloud memory, the data storage amount is greatly improved, and high effectiveness of data transmission and data storage can be guaranteed.
Description
Technical field
The present invention relates to monitoring technique field, be specifically related to a kind of based on time-slot division method for monitoring network and system.
Background technology
In network monitoring system, the transmission of video data and storage speed become the key factor weighing network monitoring system quality, due to the real-time of monitoring, need to ensure that the video capture image in network monitoring system uploads to the webserver in real time, and undertaken storing and being issued to monitor terminal by the webserver, and gather the web camera of video image, its usually exclusive one independently bandwidth to support the real time video data stream of large discharge, these video data streams cannot send in real time when Bandwidth-Constrained, and the memory space of the webserver is also limited, the storage demand of massive dataflow cannot be met, directly affect the result of use of user, even do not have the effect of monitoring in real time.
Summary of the invention
In order to solve the problems of the technologies described above, a kind of cloud storage networking method for supervising based on time-slot division provided by the present invention, comprise the following steps: by video data stream is divided according to acquisition time section, be divided into continuous print video data flow section, time-slot division is carried out to bandwidth simultaneously, be equally divided into N time slot, carry out detecting to each video data flow section to judge simultaneously, if there is trigger alarm event, then this video data flow Duan Cong 1 time slot is sent to the webserver and cloud storage simultaneously, otherwise, stamp time tag to queue up continuously and be sent to cloud storage to the 2nd to N time slot, at interior cloud storage, to data flow section according to time tag layout again, finally be sent to the webserver.
Further, described 2≤N≤6.
Further, described detecting deterministic process comprises:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
Present invention also offers a kind of cloud storage networking supervisory control system based on time-slot division, comprising:
Video data stream division unit, divides video data stream according to acquisition time section, is divided into continuous print video data flow section, carries out time-slot division simultaneously, be equally divided into N time slot to bandwidth,
Detecting judging unit, carries out detecting to each video data flow section and judges, judged whether trigger alarm event, if having, entered processing unit, if without, enter transmission unit,
Processing unit, is sent to the webserver and cloud storage by this video data flow Duan Cong 1 time slot simultaneously
Transmission unit, stamps time tag and queues up continuously and be sent to cloud storage to the 2nd to N time slot,
Arranging unit, it is arranged in server, to data flow section according to time tag layout again, is finally sent to the webserver.
Further, described 2≤N≤6.
Further, described detecting judging unit performs following judgement:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
The present invention is by adopting technique scheme, and compared with prior art, tool has the following advantages:
Method of the present invention is by being divided into continuous print video data flow section by video data stream, and N time slot is equally divided into bandwidth, using the 1st time slot as priority slot, upload the trigger event that there is detecting result and be yes, ensure that the very first time of video monitoring accident transmits, cloud storage is uploaded to other events simultaneously, considerably increases memory data output, and the high efficiency of transfer of data and storage can be ensured.
System of the present invention comprises video data stream division unit, detecting judging unit, processing unit, transmission unit and arranging unit, by video data stream being divided into continuous print video data flow section, and N time slot is equally divided into bandwidth, using the 1st time slot as priority slot, upload the trigger event that there is detecting result and be yes, ensure that the very first time of video monitoring accident transmits, cloud storage is uploaded to other events simultaneously, considerably increase memory data output, and the high efficiency of transfer of data and storage can be ensured.
Embodiment
As a specific embodiment, a kind of cloud storage networking method for supervising based on time-slot division of the present invention, comprise the following steps: by video data stream is divided according to acquisition time section, be divided into continuous print video data flow section, time-slot division is carried out to bandwidth simultaneously, be equally divided into N time slot.Carry out detecting to each video data flow section to judge simultaneously, if there is trigger alarm event, then this video data flow Duan Cong 1 time slot is sent to the webserver and cloud storage simultaneously, otherwise, stamp time tag to queue up continuously and be sent to cloud storage to the 2nd to N time slot, at interior cloud storage, to data flow section according to time tag layout again, be finally sent to the webserver.
Particularly, described video stream data amount section for acquisition time section divides according to five minutes, namely often gathered 5 minutes video stream data amounts, then stamps identical time tag, as a video stream data amount section.Certain described acquisition time section can also be any integer time period in 5-10 minute.
In the present embodiment, N value is 2, and certain N value is the integer in the scope of 2≤N≤6.The value of concrete N can divide according to the length of broadband size and data traffic section.
Described detecting deterministic process comprises:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
If there is trigger alarm event, this video data flow Duan Cong 1 time slot then indicated the trigger alarm time is sent to the webserver and cloud storage simultaneously, being sent to the webserver is in order to the very first time obtains corresponding trigger alarm event video data in terminal, and being sent to cloud storage is then the demand stored to meet large data.
If there is no trigger alarm event, beat successively according to every 5 minutes acquisition time sections, video stream data amount section is stamped time tag to queue up continuously and be sent to cloud storage to the 2nd to N time slot, at interior cloud storage, to data flow section according to time tag layout again, finally the video stream data of complete foundation time sequencing is sent to the webserver.
Present invention also offers a kind of cloud storage networking supervisory control system based on time-slot division, comprising:
Video data stream division unit, divides video data stream according to acquisition time section, is divided into continuous print video data flow section, carries out time-slot division simultaneously, be equally divided into N time slot, described 2≤N≤6 to bandwidth.
Detecting judging unit, carries out detecting to each video data flow section and judges, judged whether trigger alarm event, if having, entered processing unit, if without, enter transmission unit,
Processing unit, is sent to the webserver and cloud storage by this video data flow Duan Cong 1 time slot simultaneously
Transmission unit, stamps time tag and queues up continuously and be sent to cloud storage to the 2nd to N time slot,
Arranging unit, it is arranged in server, to data flow section according to time tag layout again, is finally sent to the webserver.
Particularly, described video stream data amount section for acquisition time section divides according to five minutes, namely often gathered 5 minutes video stream data amounts, then stamps identical time tag, as a video stream data amount section.Certain described acquisition time section can also be any integer time period in 5-10 minute.
In the present embodiment, N value is 2, and certain N value is the integer in the scope of 2≤N≤6.The value of concrete N can divide according to the length of broadband size and data traffic section.
Described detecting judging unit performs following judgement:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
If there is trigger alarm event, this video data flow Duan Cong 1 time slot then indicated the trigger alarm time is sent to the webserver and cloud storage simultaneously, being sent to the webserver is in order to the very first time obtains corresponding trigger alarm event video data in terminal, and being sent to cloud storage is then the demand stored to meet large data.
If there is no trigger alarm event, beat successively according to every 5 minutes acquisition time sections, video stream data amount section is stamped time tag to queue up continuously and be sent to cloud storage to the 2nd to N time slot, at interior cloud storage, to data flow section according to time tag layout again, finally the video stream data of complete foundation time sequencing is sent to the webserver.
Although specifically show in conjunction with preferred embodiment and describe the present invention; but those skilled in the art should be understood that; not departing from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.
Claims (6)
1. the cloud storage networking method for supervising based on time-slot division, it is characterized in that: comprise the following steps: by video data stream is divided according to acquisition time section, be divided into continuous print video data flow section, time-slot division is carried out to bandwidth simultaneously, be equally divided into N time slot, carry out detecting to each video data flow section to judge simultaneously, if there is trigger alarm event, then this video data flow Duan Cong 1 time slot is sent to the webserver and cloud storage simultaneously, otherwise, stamp time tag to queue up continuously and be sent to cloud storage to the 2nd to N time slot, at interior cloud storage, to data flow section according to time tag layout again, finally be sent to the webserver.
2. a kind of cloud storage networking method for supervising based on time-slot division according to claim 1, is characterized in that: described 2≤N≤6.
3. a kind of cloud storage networking method for supervising based on time-slot division according to claim 1, is characterized in that: described detecting deterministic process comprises:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
4., based on a cloud storage networking supervisory control system for time-slot division, it is characterized in that, comprising:
Video data stream division unit, divides video data stream according to acquisition time section, is divided into continuous print video data flow section, carries out time-slot division simultaneously, be equally divided into N time slot to bandwidth,
Detecting judging unit, carries out detecting to each video data flow section and judges, judged whether trigger alarm event, if having, entered processing unit, if without, enter transmission unit,
Processing unit, is sent to the webserver and cloud storage by this video data flow Duan Cong 1 time slot simultaneously
Transmission unit, stamps time tag and queues up continuously and be sent to cloud storage to the 2nd to N time slot,
Arranging unit, it is arranged in server, to data flow section according to time tag layout again, is finally sent to the webserver.
5. a kind of cloud storage networking supervisory control system based on time-slot division according to claim 4, is characterized in that, described 2≤N≤6.
6. a kind of cloud storage networking supervisory control system based on time-slot division according to claim 4, is characterized in that, described detecting judging unit performs following judgement:
Judge 1: whether detecting event, mobile detection is the canonical algorithm of field of video monitoring if being moved, refer to when monitor scene in the middle of have object occurrence positions to move time, the alarm events of triggering,
Judge 2: whether object occurs and invades event,
Judge 3: whether object occurs and shifts out event,
Judge 4: whether camera lens occurs and blocks event,
Judge 5: whether external alarm message event occurs,
The judgement of above-mentioned five events of poll, judges whether this event occurs successively, if there is any event, then it is yes for detecting judged result.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109155840A (en) * | 2016-05-25 | 2019-01-04 | 株式会社Nexpoint | Moving image segmenting device and monitoring method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1415139A (en) * | 1999-11-03 | 2003-04-30 | 艾利森电话股份有限公司 | System and method for noise cuppression in communication signal |
US7319667B1 (en) * | 2000-11-15 | 2008-01-15 | Cisco Technology, Inc. | Communication system with priority data compression |
CN101840219A (en) * | 2009-09-30 | 2010-09-22 | 浙江大学 | Wetland park oriented security precaution integrated system and method |
CN203435086U (en) * | 2013-09-04 | 2014-02-12 | 厦门神州鹰软件科技有限公司 | A network camera based on cloud storage control |
-
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- 2015-11-19 CN CN201510802941.1A patent/CN105472323A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1415139A (en) * | 1999-11-03 | 2003-04-30 | 艾利森电话股份有限公司 | System and method for noise cuppression in communication signal |
US7319667B1 (en) * | 2000-11-15 | 2008-01-15 | Cisco Technology, Inc. | Communication system with priority data compression |
CN101840219A (en) * | 2009-09-30 | 2010-09-22 | 浙江大学 | Wetland park oriented security precaution integrated system and method |
CN203435086U (en) * | 2013-09-04 | 2014-02-12 | 厦门神州鹰软件科技有限公司 | A network camera based on cloud storage control |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109155840A (en) * | 2016-05-25 | 2019-01-04 | 株式会社Nexpoint | Moving image segmenting device and monitoring method |
US10681314B2 (en) | 2016-05-25 | 2020-06-09 | Nexpoint Co., Ltd. | Moving image splitting device and monitoring method |
CN109155840B (en) * | 2016-05-25 | 2020-06-30 | 株式会社Nexpoint | Moving image dividing device and monitoring method |
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Application publication date: 20160406 |