CN104023077A - Video monitoring method based on cloud computing and wireless network - Google Patents
Video monitoring method based on cloud computing and wireless network Download PDFInfo
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- CN104023077A CN104023077A CN201410271519.3A CN201410271519A CN104023077A CN 104023077 A CN104023077 A CN 104023077A CN 201410271519 A CN201410271519 A CN 201410271519A CN 104023077 A CN104023077 A CN 104023077A
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Abstract
The invention discloses a video monitoring method based on cloud computing and a wireless network, and belongs to the technical field of cloud computing and wireless communication. According to the video monitoring method, an embedded video, a cloud end server cluster and a background service mainframe are adopted, analog signals are collected through the embedded video and converted into digital signals through an encoder, data are sent to the cloud end server cluster through a wireless module and the wireless network, arithmetic processing is performed on the video data through a cloud end, and a processing result is synchronized to the background service mainframe and monitored and processed through the background service mainframe. Compared with the prior art, the video monitoring method based on cloud computing and the wireless network can improve accuracy of system judgment, simplify design of terminal products, reduce cost of the terminal products and prolong the service life of the terminal products. Meanwhile, cloud storage of the video data can be performed, and safety transmission of the data is ensured through the cloud safety technology.
Description
Technical field
The present invention relates to cloud computing and wireless communication technology field, specifically a kind of video frequency monitoring method based on cloud computing and wireless network.
Background technology
Cloud computing (cloud computing) is increase, use and the delivery mode of the related service based on the Internet, and being usually directed to is provided dynamically easily expansion and be often virtualized resource by the Internet.Cloud is a kind of metaphor saying of network, the Internet.Cloud computing is that the distributed computation ability of telescopic cheapness is provided by network.The mass data that cloud computing produces for Internet of Things provides good memory space, and makes real-time online be treated as possibility.Cloud computing is the core that realizes Internet of Things, uses cloud computing mode to make the real-time dynamic management of all kinds of article in Internet of Things and the intellectual analysis possibility that becomes.Cloud computing provides access to netwoks available, convenient, as required for Internet of Things, if there is no this instrument, the magnanimity information that Internet of Things produces cannot transmit, processes and apply.Cloud computing server is the important component part of cloud computing service, and being provides the service platform of integrated service ability towards all kinds of Internet users, and data can be managed concentratedly, allows all terminal uses share a main frame.Platform integration the large key element of traditional internet, applications three: calculating, storage, network, user oriented provides the Internet infrastructure service of publicization.
Technically, cloud computing utilizes system architecture technology that thousands of station servers are integrated exactly, for user provides flexibly resource, distribute and task scheduling ability, so cloud computing needs the carrying of data center, cloud computing is the calculating of a kind of data center.
Current video monitoring scheme, nearly all in video acquisition terminal, to carry out video intelligent analysis, utilize afterwards mobile Internet analysis result to be sent to the Surveillance center of far-end, Surveillance center through comprehensively analyzing result feedback to video terminal, commands the postorder of video terminal to move again, why generally adopt this scheme, one of them main cause is the restriction that is subject to mobile Internet transmission bandwidth, bandwidth is too small just can not send to Surveillance center by live video data in time, therefore local video analysis is the way of having no idea, but the shortcoming of this scheme is also apparent, need exactly video acquisition terminal to there is stronger video data disposal ability, intelligent algorithm also needs the characteristic of associative processor to be optimized and to test, the problem of bringing is thus exactly that video acquisition terminal development business needs constantly to change the higher hardware of performance, algorithm provider needs constantly to transplant and optimized algorithm, terminal use needs constantly to eliminate or upgrading on-line operation equipment, R&D costs are more and more higher, and product type is more and more, and anti-increasing does not fall in maintenance cost, and these are all the problems that terminal development business and terminal use generally run into.
Yet, fast development along with the mobile Internet communication technology, the coverage rate of the broadband wireless networks such as 3G, 4G, WIFI is increasing, transmission performance is more stable, data transfer bandwidth has not been the problem that emphasis is considered, more energy of research and development of products stage has been placed on aspects such as meeting consumers' demand, enrich product function, personalized design.
Summary of the invention
Technical assignment of the present invention is to provide a kind of video frequency monitoring method based on cloud computing and wireless network.
Technical assignment of the present invention is realized in the following manner, the method adopts embedded video, cloud server cluster and Batch Processing main frame, embedded video gathers analog signal and becomes digital signal through coder transitions, by wireless module and wireless network, data are sent to cloud server cluster afterwards, utilize high in the clouds to carry out algorithm process to video data, again result is synchronized to Batch Processing main frame, by Batch Processing main frame, monitors processing.
Described embedded video gathers analog signal and becomes digital signal through coder transitions, and native processor can selectively carry out preliminary treatment to video signal.
Algorithm process is carried out to video data in described high in the clouds, and result feeds back to video terminal.
A kind of video frequency monitoring method based on cloud computing and wireless network of the present invention compared to the prior art, end product inside no longer needs DSP or coprocessor, not only can raising system the accuracy of judgement, can also simplify design, the reduction end product cost of end product, the life cycle that extends end product; Can also carry out the cloud storage of video data, by the safe transmission of cloud security technical guarantee data simultaneously.Design or optimization video processnig algorithms, than convenient and simple on built-in terminal, make full use of the computing capability of high in the clouds cluster server beyond the clouds, targetedly algorithm are optimized.
Accompanying drawing explanation
Accompanying drawing 1 is a kind of video frequency monitoring method connection diagram based on cloud computing and wireless network.
Embodiment
Embodiment 1:
Video frequency monitoring method based on cloud computing and wireless network adopts embedded video, cloud server cluster and Batch Processing main frame, embedded video gathers analog signal and becomes digital signal through coder transitions, by wireless module and wireless network, data are sent to cloud server cluster afterwards, utilize high in the clouds to carry out algorithm process to video data, again result is synchronized to Batch Processing main frame, by Batch Processing main frame, monitors processing.
Embodiment 2:
Video frequency monitoring method based on cloud computing and wireless network adopts embedded video, cloud server cluster and Batch Processing main frame, embedded video gathers analog signal and becomes digital signal through coder transitions, native processor can selectively carry out preliminary treatment to video signal, by wireless module and wireless network, data are sent to cloud server cluster afterwards, utilize high in the clouds to carry out algorithm process to video data, again result is synchronized to Batch Processing main frame, by Batch Processing main frame, monitors processing.
Embodiment 3:
Video frequency monitoring method based on cloud computing and wireless network adopts embedded video, cloud server cluster and Batch Processing main frame, embedded video gathers analog signal and becomes digital signal through coder transitions, native processor can selectively carry out preliminary treatment to video signal, by wireless module and wireless network, data are sent to cloud server cluster afterwards, utilize high in the clouds to carry out algorithm process to video data, again result is fed back to video terminal, by video terminal, monitor processing.
By embodiment above, described those skilled in the art can be easy to realize the present invention.But should be appreciated that the present invention is not limited to above-mentioned several embodiments.On the basis of disclosed execution mode, described those skilled in the art can the different technical characterictic of combination in any, thereby realizes different technical schemes.
Claims (3)
1. the video frequency monitoring method based on cloud computing and wireless network, it is characterized in that, the method adopts embedded video, cloud server cluster and Batch Processing main frame, embedded video gathers analog signal and becomes digital signal through coder transitions, by wireless module and wireless network, data are sent to cloud server cluster afterwards, utilize high in the clouds to carry out algorithm process to video data, then result is synchronized to Batch Processing main frame, by Batch Processing main frame, monitor processing.
2. a kind of video frequency monitoring method based on cloud computing and wireless network according to claim 1, it is characterized in that, described embedded video gathers analog signal and becomes digital signal through coder transitions, and native processor can selectively carry out preliminary treatment to video signal.
3. a kind of video frequency monitoring method based on cloud computing and wireless network according to claim 1, is characterized in that, algorithm process is carried out to video data in described high in the clouds, and result feeds back to video terminal.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105450997A (en) * | 2015-12-15 | 2016-03-30 | 李哲 | Cloud storage based video monitoring system |
CN106897190A (en) * | 2017-02-24 | 2017-06-27 | 郑州云海信息技术有限公司 | Data interactive method and system between a kind of whole machine cabinet server and its administrative unit |
Citations (2)
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CN102404558A (en) * | 2011-12-08 | 2012-04-04 | 秦始皇帝陵博物院 | Remote wireless video monitoring system based on cloud service |
CN103475865A (en) * | 2013-09-12 | 2013-12-25 | 立昂技术股份有限公司 | HD video monitoring and managing system based on cloud computing |
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Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102404558A (en) * | 2011-12-08 | 2012-04-04 | 秦始皇帝陵博物院 | Remote wireless video monitoring system based on cloud service |
CN103475865A (en) * | 2013-09-12 | 2013-12-25 | 立昂技术股份有限公司 | HD video monitoring and managing system based on cloud computing |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105450997A (en) * | 2015-12-15 | 2016-03-30 | 李哲 | Cloud storage based video monitoring system |
CN106897190A (en) * | 2017-02-24 | 2017-06-27 | 郑州云海信息技术有限公司 | Data interactive method and system between a kind of whole machine cabinet server and its administrative unit |
CN106897190B (en) * | 2017-02-24 | 2020-09-25 | 苏州浪潮智能科技有限公司 | Whole cabinet server and data interaction method and system between management units thereof |
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Application publication date: 20140903 |