CN111107379A - Cloud storage and on-demand method based on distributed videos - Google Patents
Cloud storage and on-demand method based on distributed videos Download PDFInfo
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- CN111107379A CN111107379A CN201911397366.6A CN201911397366A CN111107379A CN 111107379 A CN111107379 A CN 111107379A CN 201911397366 A CN201911397366 A CN 201911397366A CN 111107379 A CN111107379 A CN 111107379A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2181—Source of audio or video content, e.g. local disk arrays comprising remotely distributed storage units, e.g. when movies are replicated over a plurality of video servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/231—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion
- H04N21/23113—Content storage operation, e.g. caching movies for short term storage, replicating data over plural servers, prioritizing data for deletion involving housekeeping operations for stored content, e.g. prioritizing content for deletion because of storage space restrictions
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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
Abstract
The invention discloses a distributed video cloud storage and on-demand method, which is characterized in that data information collected by a monitoring equipment system is uploaded to a cloud end in a centralized manner by utilizing the existing network, and node type storage is realized according to a time sequence, so that query is more convenient. According to the method, corresponding time nodes can be preset at key positions or time according to requirements, important data information of the required time nodes is stored, and important data are prevented from being omitted; and when the time of the current set time node is inconsistent with the time of the acquisition node, the data information before and after the time node is stored, so that the consistency of the video data information stored by the cloud server and the acquired data information is ensured to the greatest extent, and the accuracy and the integrity of data storage are improved.
Description
Technical Field
The invention relates to the technical field of video cloud storage, in particular to a distributed video cloud storage and on-demand method.
Background
At present, audio and video recording data acquired by the camera equipment are mostly stored on a hard disk video recorder or a memory card, so that the time is short and faults are easy to occur. Once a hardware failure occurs, the data cannot be retrieved. Especially, some important monitoring points may need to be stored for a longer time, cannot be realized by adopting localized storage conversion, and are troublesome through common backup.
The video cloud storage technology is a technology for providing video cloud storage and query, and is increasingly widely applied to the security monitoring industry. The video cloud storage system generally comprises a video cloud storage server, a camera device and a client, wherein the video cloud storage server can receive and store videos shot by the camera device through a network, and the client can also acquire videos stored by the video cloud storage server through the network.
When the video cloud storage server acquires and stores video data uploaded by the image pickup apparatus, in case of a failure of the image pickup apparatus, there may be a case where the acquired video data will not coincide with video data of an actually required time period.
Disclosure of Invention
In view of the above-mentioned deficiencies in the background art, an object of the present invention is to provide a method for storing and requesting video on demand based on distributed video cloud.
In order to realize the purpose, the following technical scheme is adopted:
a distributed video cloud storage and on-demand based method comprises the following steps:
s1, firstly, acquiring data information of a target environment through a monitoring equipment system;
s2, storing the acquired data information to a local storage platform in real time according to a time sequence by utilizing the existing network;
s3, sending an instruction through a cloud server, capturing data information in the local storage platform, and performing classification analysis processing on the captured data information according to the characteristics of the theme information; the theme information characteristics comprise port number, password and channel number information of the local storage platform;
s4, after classification analysis processing is carried out on the captured data information, whether the acquisition time node of the captured data information is consistent with the set time node of the cloud server or not is judged:
1) if the acquisition time node of the captured data information is consistent with the time node set by the cloud server, the cloud server sends a data information storage instruction to a cloud storage center;
2) if the acquisition time node of the captured data information is not consistent with the set time node of the cloud server, the step S5 is performed;
s5, sending an acquisition instruction to a local storage platform through the cloud server, capturing data information before and after a time node is set by the cloud server, and sending a data information storage instruction to a cloud storage center;
and S6, performing node type storage on the captured data information according to the time sequence by setting the time node according to the cloud server.
Further, the method further comprises:
when a data information calling request of a client terminal is detected, judging the time point position of the data information which is requested to be called;
if the time point of the data information requested to be called is located on the set time node of the cloud server, directly calling the corresponding data information;
and if the time point of the data information requested to be called is not on the set time node of the cloud server, calling the data information before and after the corresponding set time node.
Further, when corresponding data information cannot be captured on the time node set by the cloud server, it is judged that a monitoring device system fails or a local storage platform is offline when the current time node is present, and data information before and after the time node set is captured.
Furthermore, a positioning module is arranged in the monitoring equipment system, and data information collected by the counterweight position monitoring equipment system is preferentially stored according to user requirements.
Compared with the prior art, the invention has the following advantages:
according to the invention, the data information collected by the monitoring equipment system is uploaded to the cloud in a centralized manner by using the existing network, and node type storage is realized according to the time sequence, so that the query is more convenient. According to the method, corresponding time nodes can be preset at key positions or time according to requirements, important data information of the required time nodes is stored, and important data are prevented from being omitted; and when the time of the current set time node is inconsistent with the time of the acquisition node, the data information before and after the time node is stored, so that the consistency of the video data information stored by the cloud server and the acquired data information is ensured to the greatest extent, and the accuracy and the integrity of data storage are improved.
Detailed Description
Fig. 1 is a schematic flowchart of a video cloud storage method according to embodiment 1 of the present invention;
fig. 2 is a schematic flow chart of a video cloud-on-demand method according to embodiment 2 of the present invention.
Detailed Description
The following describes in detail specific embodiments of the present invention. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Example 1
A distributed video cloud storage and on-demand based method comprises the following steps:
s1, firstly, acquiring data information of a target environment through a monitoring equipment system;
s2, storing the acquired data information to a local storage platform in real time according to a time sequence by utilizing the existing network;
s3, sending an instruction through a cloud server, capturing data information in the local storage platform, and performing classification analysis processing on the captured data information according to the characteristics of the theme information; the theme information characteristics comprise port number, password and channel number information of the local storage platform;
s4, after classification analysis processing is carried out on the captured data information, whether the acquisition time node of the captured data information is consistent with the set time node of the cloud server or not is judged:
1) if the acquisition time node of the captured data information is consistent with the time node set by the cloud server, the cloud server sends a data information storage instruction to a cloud storage center;
2) if the acquisition time node of the captured data information is not consistent with the set time node of the cloud server, the step S5 is performed;
s5, sending an acquisition instruction to a local storage platform through the cloud server, capturing data information before and after a time node is set by the cloud server, and sending a data information storage instruction to a cloud storage center;
and S6, performing node type storage on the captured data information according to the time sequence by setting the time node according to the cloud server.
Example 2
In a specific embodiment of the present invention, the method for storing and requesting video on demand based on distributed video cloud includes the following steps:
s1, firstly, acquiring data information of a target environment through a monitoring equipment system;
s2, storing the acquired data information to a local storage platform in real time according to a time sequence by utilizing the existing network;
s3, sending an instruction through a cloud server, capturing data information in the local storage platform, and performing classification analysis processing on the captured data information according to the characteristics of the theme information; the theme information characteristics comprise port number, password and channel number information of the local storage platform;
s4, after classification analysis processing is carried out on the captured data information, whether the acquisition time node of the captured data information is consistent with the set time node of the cloud server or not is judged:
1) if the acquisition time node of the captured data information is consistent with the time node set by the cloud server, the cloud server sends a data information storage instruction to a cloud storage center;
2) if the acquisition time node of the captured data information is not consistent with the set time node of the cloud server, the step S5 is performed;
s5, sending an acquisition instruction to a local storage platform through the cloud server, capturing data information before and after a time node is set by the cloud server, and sending a data information storage instruction to a cloud storage center;
and S6, performing node type storage on the captured data information according to the time sequence by setting the time node according to the cloud server.
When a data information calling request of a client terminal is detected, judging the time point position of the data information which is requested to be called;
if the time point of the data information requested to be called is located on the set time node of the cloud server, directly calling the corresponding data information;
and if the time point of the data information requested to be called is not on the set time node of the cloud server, calling the data information before and after the corresponding set time node.
In another embodiment of the present invention, when the corresponding data information cannot be captured on the time node set by the cloud server, if it is determined that the monitoring device system fails at the current time node or the local storage platform is offline, the data information before and after the time node set is captured.
The monitoring equipment system is internally provided with a positioning module, and data information collected by the reset point position monitoring equipment system is preferentially stored according to user requirements.
According to the invention, the data information collected by the monitoring equipment system is uploaded to the cloud in a centralized manner by using the existing network, and node type storage is realized according to the time sequence, so that the query is more convenient. According to the method, corresponding time nodes can be preset at key positions or time according to requirements, important data information of the required time nodes is stored, and important data are prevented from being omitted; and when the time of the current set time node is inconsistent with the time of the acquisition node, the data information before and after the time node is stored, so that the consistency of the video data information stored by the cloud server and the acquired data information is ensured to the greatest extent, and the accuracy and the integrity of data storage are improved.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. A distributed video cloud storage and on-demand based method is characterized by comprising the following steps:
s1, firstly, acquiring data information of a target environment through a monitoring equipment system;
s2, storing the acquired data information to a local storage platform in real time according to a time sequence by utilizing the existing network;
s3, sending an instruction through a cloud server, capturing data information in the local storage platform, and performing classification analysis processing on the captured data information according to the characteristics of the theme information; the theme information characteristics comprise port number, password and channel number information of the local storage platform;
s4, after classification analysis processing is carried out on the captured data information, whether the acquisition time node of the captured data information is consistent with the set time node of the cloud server or not is judged:
1) if the acquisition time node of the captured data information is consistent with the time node set by the cloud server, the cloud server sends a data information storage instruction to a cloud storage center;
2) if the acquisition time node of the captured data information is not consistent with the set time node of the cloud server, the step S5 is performed;
s5, sending an acquisition instruction to a local storage platform through the cloud server, capturing data information before and after a time node is set by the cloud server, and sending a data information storage instruction to a cloud storage center;
and S6, performing node type storage on the captured data information according to the time sequence by setting the time node according to the cloud server.
2. The distributed video cloud storage and on-demand based method according to claim 1, wherein the method further comprises:
when a data information calling request of a client terminal is detected, judging the time point position of the data information which is requested to be called;
if the time point of the data information requested to be called is located on the set time node of the cloud server, directly calling the corresponding data information;
and if the time point of the data information requested to be called is not on the set time node of the cloud server, calling the data information before and after the corresponding set time node.
3. The distributed video cloud storage and on-demand method according to claim 1, wherein when corresponding data information cannot be captured on the time node set by the cloud server, if it is determined that a monitoring device system fails at the current time node or a local storage platform is offline, data information before and after the time node set is captured.
4. The distributed video cloud storage and on-demand method as claimed in claim 1, wherein a positioning module is provided in the monitoring device system, and data information collected by the heavy-spot position monitoring device system is preferentially stored according to user requirements.
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