CN114268721A - Low-flow network video monitoring system, method and storage medium - Google Patents
Low-flow network video monitoring system, method and storage medium Download PDFInfo
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Abstract
The invention discloses a low-flow network video monitoring system and a method, wherein the system comprises: the monitoring node is used for pulling a stream from a camera connected with the monitoring node and uploading the stream to a monitoring network platform; the monitoring network platform is used for receiving the data uploaded by the monitoring nodes and carrying out information interaction with the monitoring nodes; and the monitoring node is provided with application middleware for managing the monitoring node and the camera according to configuration rules in the information interaction process. According to the invention, huge flow cost is saved by configuring the image and video sending time period and mode of each node from the monitoring network platform and compressing parameters. The node operation parameters are remotely regulated and controlled by monitoring the equipment health data of the nodes, so that service interruption is avoided. Compared with the existing video monitoring method, the method has the advantages of reducing economic cost and enhancing service stability.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a low-flow network video monitoring system, a low-flow network video monitoring method and a storage medium.
Background
In a wide area network monitoring system, if a great number of monitoring points need to be extracted to obtain real-time data, huge flow cost is consumed; the configuration scheme which can save the flow and is provided by the current large-scale monitoring network platform is too single, and the diversity requirements of users cannot be met.
Disclosure of Invention
Aiming at the defects in the prior art, the low-flow network video monitoring system, the method and the storage medium provided by the invention solve the problems that the existing monitoring network platform configuration is single in flow configuration saving method, cannot meet the user diversity requirement and is high in flow cost caused by real-time monitoring.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a low-traffic network video surveillance system, comprising:
the monitoring node is used for pulling a stream from a camera connected with the monitoring node and uploading the stream to a monitoring network platform;
the monitoring network platform is used for receiving the data uploaded by the monitoring nodes and carrying out information interaction with the monitoring nodes;
and the monitoring node is provided with application middleware for managing the monitoring node and the camera according to configuration rules in the information interaction process.
The invention has the beneficial effects that: the invention realizes the low-flow low-cost wide area network video monitoring under the condition of not changing the structure of the existing monitoring network.
Further, the interaction between the application middleware and the monitoring network platform includes uploading equipment health information of the monitoring nodes, acquiring and executing data storage rules, video and image interception rules and video plug-flow rules from the monitoring network platform.
Further, when the application middleware manages the monitoring node and the camera, the method includes:
the network diagnosis unit is a monitoring network platform side and is used for determining the network state of the monitoring node according to the equipment health information uploaded by the application middleware;
the data storage unit is a monitoring node side and used for updating the storage data in the monitoring node according to the data storage rule acquired from the monitoring network platform;
the data uploading unit is a monitoring node side and is used for intercepting the video and the image of the camera connected with the monitoring node side according to the video and image intercepting rule acquired from the monitoring network platform and uploading the video and the image to the monitoring network platform;
and the video stream pushing unit is a monitoring node side and is used for uploading the video sectional fragments of the camera connected with the video stream pushing unit to the monitoring network platform according to the video stream pushing rule acquired from the monitoring network platform.
The beneficial effects of the above further scheme are: the node monitoring cameras are brought into the monitoring network platform for configuration management, independent rules are configured for the node cameras, and the nodes apply the middleware to realize network diagnosis, data storage, data uploading and video plug-streaming of node equipment according to the configured rules, so that the lowest flow is used to cover all monitoring points, and the diversity requirements of users are met.
A low-flow network video monitoring method comprises the following steps:
s1, configuring a monitoring node to connect with at least one camera, and uploading the monitoring node to a monitoring network platform through a camera pull stream; application middleware is deployed in the monitoring node;
s2, receiving data uploaded by the monitoring node through the monitoring network platform;
and S3, in the data uploading process, performing information interaction with the application middleware through the monitoring network platform, further managing the monitoring nodes and the cameras, and realizing low-flow network video monitoring.
The invention has the beneficial effects that:
(1) according to the invention, huge flow cost is saved by configuring the image and video sending time period and mode of each node from the monitoring network platform and compressing parameters.
(2) The invention remotely regulates and controls the node operation parameters by monitoring the equipment health data of the node, thereby avoiding service interruption.
(3) Compared with the existing video monitoring method, the method of the invention reduces the economic cost and enhances the service stability.
Further, in step S3, the information interaction between the monitoring network platform and the application middleware includes uploading the device health information of the monitoring node, acquiring and executing a data storage rule, a video and image capturing rule, and a video plug flow rule from the monitoring network platform;
in step S3, the management of the monitoring node and the camera includes network diagnosis, data storage management, data upload management, and video plug-flow management.
The beneficial effects of the above further scheme are: the node monitoring cameras are brought into a monitoring network platform for configuration management, independent rules are configured for the node cameras, and the nodes apply the middleware to realize network diagnosis, data storage, data uploading and video plug-streaming of node equipment according to the configured rules, so that the lowest flow is used for covering all monitoring points.
Further, the network diagnosis method specifically comprises the following steps:
a1, enabling the application middleware to regularly send heartbeat data packets representing equipment health information to the monitoring network platform through a heartbeat mechanism;
a2, judging whether the monitoring network platform receives a heartbeat data packet within a set time;
if yes, go to step A4;
if not, go to step A3;
a3, marking the network state of the current monitoring node as off-line, and entering the step A5;
a4, calculating the time difference between the sending time and the receiving time of the heartbeat data packet, and determining the relation between the time difference and the set time difference range;
if the time difference is in the set time difference range, marking the network state of the current monitoring node as delay;
if the time difference is smaller than the set time difference range, marking the network state of the current monitoring node as normal;
if the time difference is larger than the set time difference range, marking the network state of the current monitoring node as high delay and entering the step A5;
and A5, sending node early warning information to maintenance personnel monitoring the network platform.
The beneficial effects of the above further scheme are: maintenance personnel can obtain early warning information through network diagnosis and directly know the current operation condition of the node, can process the node in time and avoid the condition that the node fault processing is lagged.
Further, the method for data storage management specifically comprises:
b1, acquiring a corresponding data storage rule from the monitoring network platform at regular time by using the unique identifier of the monitoring node through application middleware;
b2, updating the local storage configuration of the monitoring node based on the acquired data storage rule;
b2, storing data according to the updated local storage configuration, and cleaning historical storage data in the monitoring node at regular time;
the mode for cleaning the historical storage data in the monitoring nodes comprises cleaning according to data time difference and cleaning according to the proportion of the used space.
The beneficial effects of the above further scheme are: based on the data storage method provided by the invention, the problem that the monitoring system runs for a long time, the space of a disk is full, and the program cannot run normally, so that the service is interrupted is avoided.
Further, the method for managing data uploading specifically comprises:
c1, acquiring video and image interception rules of each camera connected with the monitoring node from the monitoring network platform at regular time by using the unique identifier of the monitoring node through the monitoring node;
c2, updating the local interception configuration of the corresponding camera according to the acquired video and image interception rules;
c3, capturing corresponding camera video clips and camera images at configured time intervals according to the updated local capturing configuration;
c4, uploading the intercepted video clip of the camera and the camera image to a monitoring network platform.
The beneficial effects of the above further scheme are: by adopting the data uploading management method provided by the invention, the video is subjected to screenshot or fragment interception, so that the flow and space consumed by acquiring the video can be avoided, and key information can still be collected according to fragments.
Further, the video stream pushing management method specifically includes:
d1, acquiring video plug flow rules of the monitoring nodes connected with the cameras from the monitoring network platform at regular time by using the unique monitoring node identifier through the application middleware;
d2, updating the local plug flow configuration of the corresponding camera according to the acquired video plug flow rule;
d3, reading a corresponding plug flow configuration mode according to the updated local plug flow configuration, and performing video plug flow;
when the plug flow configuration mode is sequential queuing polling, compressing the monitoring video according to the video compression mode configured by each camera in the plug flow time interval and sequentially plug flow to the monitoring network platform;
when the push flow configuration mode is grouping queuing polling, the cameras connected with the monitoring nodes are grouped according to the configuration, so that the cameras of each group push flow to the monitoring network platform in sequence in the push flow time interval according to the configured video compression mode.
The beneficial effects of the above further scheme are: the method for pushing the flow by grouping can greatly reduce the pressure of the server, reduce the load of node equipment and ensure that the node nodes have enough resources to process data.
A computer-readable storage medium storing a computer program which, when executed, performs the steps of a low-traffic network video surveillance method.
The invention has the beneficial effects that: the invention provides a corresponding computer readable storage medium for a computer program for realizing the low-flow network video monitoring method, and is convenient for a user to directly use the storage medium to realize the flow network video monitoring.
Drawings
Fig. 1 is a schematic structural diagram of a low-traffic network video monitoring system provided by the present invention.
Fig. 2 is a flowchart of a low-traffic network video monitoring method provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
Example 1:
the embodiment provides a low-traffic network video monitoring system, as shown in fig. 1, including:
the monitoring node is used for pulling a stream from a camera connected with the monitoring node and uploading the stream to a monitoring network platform;
the monitoring network platform is used for receiving the data uploaded by the monitoring nodes and carrying out information interaction with the monitoring nodes;
and the monitoring node is provided with application middleware for managing the monitoring node and the camera according to configuration rules in the information interaction process.
The low-flow network video monitoring system in the embodiment of the invention can realize campus independent supervision, extract monitoring point data of each campus to be managed and controlled in a centralized manner by establishing a whole-area campus security monitoring network, and bring whole-area monitoring into a monitoring department for control.
In the embodiment of the invention, the school monitoring network can directly use the existing monitoring equipment, namely the cameras, one school monitoring network comprises at least one monitoring node, and each monitoring node is connected with at least one camera and is pulled and uploaded to the monitoring network platform from the camera.
In the embodiment of the invention, the interaction between the application middleware and the monitoring network platform comprises the steps of uploading equipment health information of the monitoring nodes, acquiring and executing data storage rules, video and image interception rules and video plug-flow rules from the monitoring network platform.
In the embodiment of the present invention, when managing a monitoring node and a camera based on a configuration rule in an interaction process between an application middleware and a monitoring network platform, the method includes:
the network diagnosis unit is a monitoring network platform side and is used for determining the network state of the monitoring node according to the equipment health information uploaded by the application middleware;
the data storage unit is a monitoring node side and used for updating the storage data in the monitoring node according to the data storage rule acquired from the monitoring network platform;
the data uploading unit is a monitoring node side and is used for intercepting the video and the image of the camera connected with the monitoring node side according to the video and image intercepting rule acquired from the monitoring network platform and uploading the video and the image to the monitoring network platform;
and the video stream pushing unit is a monitoring node side and is used for uploading the video sectional fragments of the camera connected with the video stream pushing unit to the monitoring network platform according to the video stream pushing rule acquired from the monitoring network platform.
In the embodiment of the present invention, the device health information required by the network diagnosis unit includes a network connection state of the monitoring node, a storage space usage amount and a remaining amount, a CPU usage rate, and a memory usage rate.
In the embodiment of the invention, the data storage rules required by the data storage unit comprise a path for storing data, the size of allowed storage space and a membership data cleaning mode of the storage space.
In the embodiment of the invention, the historical data cleaning mode is cleaning according to the data time difference and cleaning according to the occupied space ratio, and the cleaning according to the data time difference is automatically cleaning data in a certain number of days according to the time difference between the data generation time and the current time; and automatically cleaning historical data of corresponding capacity after the used space ratio is cleaned to exceed the set ratio capacity.
In the embodiment of the invention, the data storage rules required by the data uploading unit comprise whether the camera intercepts the image, the length of the intercepted video segment, the video and picture interval intercepting time, the picture size and the storage format of the video and the image.
In the embodiment of the present invention, the video stream pushing rules required by the video stream pushing unit include a time period for each camera to allow stream pushing to the monitoring network platform, a stream pushing video data compression mode (lossy compression and lossless compression), a stream pushing time interval, and a stream pushing configuration mode (sequential queuing polling and packet queuing polling).
Example 2:
the embodiment of the invention provides a low-flow network video monitoring method based on the system in the embodiment 1, as shown in fig. 2, comprising the following steps:
s1, configuring a monitoring node to connect with at least one camera, and uploading the monitoring node to a monitoring network platform through a camera pull stream; application middleware is deployed in the monitoring node;
s2, receiving data uploaded by the monitoring node through the monitoring network platform;
and S3, in the data uploading process, performing information interaction with the application middleware through the monitoring network platform, further managing the monitoring nodes and the cameras, and realizing low-flow network video monitoring.
In step S3 of the embodiment of the present invention, the information interaction between the monitoring network platform and the application middleware includes uploading the device health information of the monitoring node, acquiring and executing a data storage rule, a video and image capturing rule, and a video plug flow rule from the monitoring network platform; based on the interaction information, the management of the monitoring node and the camera comprises network diagnosis, data storage management, data uploading management and video plug-flow management.
In the embodiment of the invention, the equipment health information comprises the network connection state of the monitoring node, the usage amount and the surplus of the storage space, the CPU usage rate and the memory usage rate; the data storage rules required by the data storage unit comprise a path for storing data, the size of allowed storage space and a membership data cleaning mode of the storage space; the data storage rules comprise whether the camera intercepts the image, the length of the intercepted video clip, the video and picture interval intercepting time, the picture size and the storage format of the video and the image; the video plug flow rule comprises a time period for each camera to allow plug flow to the monitoring network platform, a plug flow video data compression mode (lossy compression and lossless compression), a plug flow time interval and a plug flow configuration mode (sequential queuing polling and packet queuing polling).
In the embodiment of the present invention, the network diagnosis method specifically includes:
a1, enabling the application middleware to regularly send heartbeat data packets representing equipment health information to the monitoring network platform through a heartbeat mechanism;
a2, judging whether the monitoring network platform receives a heartbeat data packet within a set time;
if yes, go to step A3;
if not, go to step A4;
a3, marking the network state of the current monitoring node as off-line, and entering the step A5;
a4, calculating the time difference between the sending time and the receiving time of the heartbeat data packet, and determining the relation between the time difference and the set time difference range;
if the time difference is in the set time difference range, marking the network state of the current monitoring node as delay;
if the time difference is smaller than the set time difference range, marking the network state of the current monitoring node as normal;
if the time difference is larger than the set time difference range, marking the network state of the current monitoring node as high delay, and then performing step A5;
and A5, sending node early warning information to maintenance personnel monitoring the network platform.
In the embodiment of the present invention, in step a4, when the monitoring network platform receives the uploaded heartbeat packet, the heartbeat packet is analyzed and the operation information of the monitoring node is stored, where the heartbeat packet usually includes basic information of the node, such as an identifier and a name; the platform can determine which node data is according to the basic information in the analyzed data packet, and calculate how much time is used for transmitting the data according to the comparison between the generation time of the data and the time when the data is received.
In the embodiment of the present invention, the method for data storage management specifically includes:
b1, acquiring a corresponding data storage rule from the monitoring network platform at regular time by using the unique identifier of the monitoring node through application middleware;
b2, updating the local storage configuration of the monitoring node based on the acquired data storage rule;
b2, storing data according to the updated local storage configuration, and cleaning historical storage data in the monitoring nodes at regular time;
the mode for cleaning the historical storage data in the monitoring nodes comprises cleaning according to data time difference and cleaning according to the proportion of the used space.
In the embodiment of the invention, the cleaning according to the data time difference is used for determining the number of days for automatically cleaning data according to the time difference between the data generation time and the current time and cleaning corresponding historical data; and automatically cleaning historical data of corresponding capacity after the used space ratio is cleaned to exceed the specified ratio capacity.
In the embodiment of the invention, when the data storage rule can not be acquired by using the unique node identifier, if the current node has a piece of configuration information before the acquisition fails, the service is executed according to the configuration information, if no historical configuration information exists, the retry is continuously carried out, the acquisition of new configuration information is tried, and no other work is carried out if no configuration information exists.
In the embodiment of the present invention, the method for data upload management specifically includes:
c1, acquiring video and image interception rules of each camera connected with the monitoring node from the monitoring network platform at regular time by using the unique identifier of the monitoring node through the monitoring node;
c2, updating the local interception configuration of the corresponding camera according to the acquired video and image interception rules;
c3, capturing corresponding camera video clips and camera images at configured time intervals according to the updated local capturing configuration;
c4, uploading the intercepted video clip of the camera and the camera image to a monitoring network platform.
In the embodiment of the present invention, in the process of capturing the camera video and the image in step C3, it is determined in real time according to the local capturing configuration whether video or image capturing is required at the current time, so that the camera video and the camera image are captured at the configured time interval, the camera image is stored as a specified size and format, and the captured camera video and the captured camera image are uploaded to the monitoring network platform within the configured data uploading time period.
In the embodiment of the invention, when the unique identifier of the node cannot be used for acquiring the data uploading rule, when the data cannot be uploaded, the node has the running log, error information is recorded in the log file for future reference, and the node uses the latest data to continuously try to send.
In the embodiment of the present invention, the method for video push stream management specifically includes:
d1, acquiring video plug flow rules of the monitoring nodes connected with the cameras from the monitoring network platform at regular time by using the unique monitoring node identifier through the application middleware;
d2, updating the local plug flow configuration of the corresponding camera according to the acquired video plug flow rule;
d3, reading a corresponding plug flow configuration mode according to the updated local plug flow configuration, and performing video plug flow;
when the plug flow configuration mode is sequential queuing polling, compressing the monitoring video according to the video compression mode configured by each camera in the plug flow time interval and sequentially plug flow to the monitoring network platform;
when the push flow configuration mode is grouping queuing polling, the cameras connected with the monitoring nodes are grouped according to the configuration, so that the cameras of each group push flow to the monitoring network platform in sequence in the push flow time interval according to the configured video compression mode.
In the embodiment of the invention, when the plug flow configuration mode is sequential queuing polling, the video is compressed according to the lossy compression mode or the lossless compression mode of the currently configured camera and is pushed to the monitoring network platform, and the video is automatically quitted when the configured plug flow time interval is reached, so that the next camera carries out video plug flow. When the push flow configuration mode is packet queuing polling, the cameras meeting the push flow in the current time period are grouped according to the number of the configured group members, for one group of cameras, the video is compressed according to the configured lossy or lossless compression mode and sent to the monitoring network platform, after the configured convection interval time is reached, the group of cameras automatically quit, and the next group of cameras carry out video push flow.
In the embodiment of the invention, when the video plug flow rule can not be obtained by using the unique node identifier, if the current node has a piece of configuration information before the obtaining fails, the service is still executed according to the configuration information, if no historical configuration information exists, the retry is continuously carried out, and the new configuration information is tried to be obtained; without configuration information, no other work is performed.
Example 3:
the embodiment of the invention provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and the steps of the low-flow network video monitoring method are realized when the computer program is executed. For example, the computer readable storage medium may be the above-mentioned memory including program instructions, which are executable by a processor of the electronic device to implement the low-traffic network video monitoring method in the above-mentioned embodiment 2.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A low-traffic network video surveillance system, comprising:
the monitoring node is used for pulling a stream from a camera connected with the monitoring node and uploading the stream to a monitoring network platform;
the monitoring network platform is used for receiving the data uploaded by the monitoring nodes and carrying out information interaction with the monitoring nodes;
and the monitoring node is provided with application middleware for managing the monitoring node and the camera according to configuration rules in the information interaction process.
2. The low-traffic network video monitoring system of claim 1, wherein the interaction of the application middleware with the monitoring network platform includes uploading device health information of monitoring nodes, obtaining and executing data storage rules, video and image interception rules, and video plug-flow rules from the monitoring network platform.
3. The low-traffic network video monitoring system according to claim 2, wherein when the application middleware manages the monitoring node and the camera, the system comprises:
the network diagnosis unit is a monitoring network platform side and is used for determining the network state of the monitoring node according to the equipment health information uploaded by the application middleware;
the data storage unit is a monitoring node side and used for updating the storage data in the monitoring node according to the data storage rule acquired from the monitoring network platform;
the data uploading unit is a monitoring node side and is used for intercepting the video and the image of the camera connected with the monitoring node side according to the video and image intercepting rule acquired from the monitoring network platform and uploading the video and the image to the monitoring network platform;
and the video stream pushing unit is a monitoring node side and is used for uploading the video sectional fragments of the camera connected with the video stream pushing unit to the monitoring network platform according to the video stream pushing rule acquired from the monitoring network platform.
4. A low-flow network video monitoring method based on the low-flow network video monitoring system of any claim 1 to 3, characterized by comprising the following steps:
s1, configuring a monitoring node to connect with at least one camera, and uploading the monitoring node to a monitoring network platform through a camera pull stream; application middleware is deployed in the monitoring node;
s2, receiving data uploaded by the monitoring node through the monitoring network platform;
and S3, in the data uploading process, performing information interaction with the application middleware through the monitoring network platform, further managing the monitoring nodes and the cameras, and realizing low-flow network video monitoring.
5. The low-traffic network video monitoring method according to claim 4, wherein in step S3, the information interaction between the monitoring network platform and the application middleware includes uploading equipment health information of the monitoring node, acquiring and executing data storage rules, video and image interception rules, and video plug-flow rules from the monitoring network platform;
in step S3, the management of the monitoring node and the camera includes network diagnosis, data storage management, data upload management, and video plug-flow management.
6. The low-traffic network video monitoring method according to claim 5, wherein the network diagnosis method specifically comprises:
a1, enabling the application middleware to regularly send heartbeat data packets representing equipment health information to the monitoring network platform through a heartbeat mechanism;
a2, judging whether the monitoring network platform receives a heartbeat data packet within a set time;
if yes, go to step A4;
if not, go to step A3;
a3, marking the network state of the current monitoring node as off-line, and entering the step A5;
a4, calculating the time difference between the sending time and the receiving time of the heartbeat data packet, and determining the relation between the time difference and the set time difference range;
if the time difference is in the set time difference range, marking the network state of the current monitoring node as delay;
if the time difference is smaller than the set time difference range, marking the network state of the current monitoring node as normal;
if the time difference is larger than the set time difference range, marking the network state of the current monitoring node as high delay, and entering the step A5
And A5, sending node early warning information to maintenance personnel monitoring the network platform.
7. The low-traffic network video monitoring method according to claim 5, wherein the data storage management method specifically comprises:
b1, acquiring a corresponding data storage rule from the monitoring network platform at regular time by using the unique identifier of the monitoring node through application middleware;
b2, updating the local storage configuration of the monitoring node based on the acquired data storage rule;
b2, storing data according to the updated local storage configuration, and cleaning historical storage data in the monitoring node at regular time;
the mode for cleaning the historical storage data in the monitoring nodes comprises cleaning according to data time difference and cleaning according to the proportion of the used space.
8. The low-traffic network video monitoring method according to claim 6, wherein the data uploading management method specifically comprises:
c1, acquiring video and image interception rules of each camera connected with the monitoring node from the monitoring network platform at regular time by using the unique identifier of the monitoring node through the monitoring node;
c2, updating the local interception configuration of the corresponding camera according to the acquired video and image interception rules;
c3, capturing corresponding camera video clips and camera images at configured time intervals according to the updated local capturing configuration;
c4, uploading the intercepted video clip of the camera and the camera image to a monitoring network platform.
9. The low-traffic network video monitoring method according to claim 6, wherein the video plug flow management method specifically comprises:
d1, acquiring video plug flow rules of the monitoring nodes connected with the cameras from the monitoring network platform at regular time by using the unique monitoring node identifier through the application middleware;
d2, updating the local plug flow configuration of the corresponding camera according to the acquired video plug flow rule;
d3, reading a corresponding plug flow configuration mode according to the updated local plug flow configuration, and performing video plug flow;
when the plug flow configuration mode is sequential queuing polling, compressing the monitoring video according to the video compression mode configured by each camera in the plug flow time interval and sequentially plug flow to the monitoring network platform;
when the push flow configuration mode is grouping queuing polling, the cameras connected with the monitoring nodes are grouped according to the configuration, so that the cameras of each group push flow to the monitoring network platform in sequence in the push flow time interval according to the configured video compression mode.
10. A computer-readable storage medium storing a computer program, wherein the steps of the low-traffic network video surveillance method according to any one of claims 4 to 9 are implemented when the computer program is executed.
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