CN112583635A - Method and device for detecting network state of video network, terminal equipment and storage medium - Google Patents
Method and device for detecting network state of video network, terminal equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, terminal equipment and a storage medium for detecting the network state of a video network, wherein the method comprises the following steps: acquiring a first data flow required by receiving a service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
Description
Technical Field
The present invention relates to the field of video networking technologies, and in particular, to a method and an apparatus for detecting a network state of a video networking, a terminal device, and a storage medium.
Background
With the continuous development of the video networking technology, service data is transmitted through a video networking link, and in a specific service process, the service data is affected by link bandwidth and data security, for example, the transmission of a certain path of service link exceeds the maximum link bandwidth, or a shock wave suddenly appears at a certain time, so that the normal transmission of the service data is affected, even some services cannot normally operate, and how to detect the network state of the video networking link in real time is a problem which is urgently needed to be solved at present.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a method, an apparatus, a terminal device and a storage medium for detecting a network status of a video network, which overcome the above problems or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides a method for detecting a network status of a video networking, where the method includes:
acquiring a first data flow required by receiving a service data packet;
determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model;
and if the first safety factor value is larger than a preset safety factor value, displaying alarm information.
Optionally, the determining a first security factor value according to the first data traffic and a pre-established security factor model includes:
determining a first ultra-bandwidth safety factor value according to the first data flow and the ultra-bandwidth safety factor model;
and/or
And determining a first transient data safety factor value according to the first data flow and the transient data safety factor model.
Optionally, before the obtaining the first data traffic required for receiving the service data packet, the method further includes:
acquiring a second data flow for receiving the test data packet in the test service;
determining a second ultra-bandwidth safety factor value according to the second data flow and a pre-established ultra-bandwidth safety factor model;
determining a second transient data safety factor value according to the second data flow and a pre-established transient data safety factor model;
if the second ultra-bandwidth safety factor value is greater than a preset ultra-bandwidth safety factor and/or the second transient data safety factor value is greater than a preset transient data safety factor, respectively acquiring the bearing time corresponding to the second data traffic;
and calculating an impact-resistant safety factor value according to the second ultra-bandwidth safety factor value and/or the second transient data safety factor value.
Optionally, the method further comprises:
under the condition that the first data traffic and the second data traffic are the same, if the first safety factor value is larger than the preset safety factor value, executing processing operation according to the bearing time of the first safety factor value and the second data traffic, wherein the processing operation comprises one or more of pre-expansion, temporary current limiting, dynamic data relieving or data distribution.
Optionally, the pre-established ultra-bandwidth security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a first data traffic;
f is the maximum allowed data traffic in the view networking link.
Optionally, the pre-established transient data security factor model comprises:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
Optionally, the impact-resistance safety factor value is calculated by:
and/or
Where KCJK is the impact safety factor value and t is the bearing time or strain time at risk.
In a second aspect, an embodiment of the present invention provides an apparatus for detecting a network status of a video networking, where the apparatus includes:
the acquisition module is used for acquiring a first data flow required by receiving the service data packet;
a determining module, configured to determine a first safety factor value according to the first data traffic and a pre-established safety factor model, where the pre-established safety factor model includes an ultra-bandwidth safety factor model and a transient data safety factor model;
and the judging module is used for displaying alarm information if the first safety factor value is greater than a preset safety factor value.
Optionally, the determining module is configured to:
determining a first ultra-bandwidth safety factor value according to the first data flow and the ultra-bandwidth safety factor model;
and/or
And determining a first transient data safety factor value according to the first data flow and the transient data safety factor model.
Optionally, the apparatus further comprises a computing module configured to:
acquiring a second data flow for receiving the test data packet in the test service;
determining a second ultra-bandwidth safety factor value according to the second data flow and a pre-established ultra-bandwidth safety factor model;
determining a second transient data safety factor value according to the second data flow and a pre-established transient data safety factor model;
if the second ultra-bandwidth safety factor value is greater than a preset ultra-bandwidth safety factor and/or the second transient data safety factor value is greater than a preset transient data safety factor, respectively acquiring the bearing time corresponding to the second data traffic;
and calculating an impact-resistant safety factor value according to the second ultra-bandwidth safety factor value and/or the second transient data safety factor value.
Optionally, the apparatus further comprises a processing module configured to:
under the condition that the first data traffic and the second data traffic are the same, if the first safety factor value is larger than the preset safety factor value, executing processing operation according to the bearing time of the first safety factor value and the second data traffic, wherein the processing operation comprises one or more of pre-expansion, temporary current limiting, dynamic data relieving or data distribution.
Optionally, the pre-established ultra-bandwidth security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a first data traffic;
f is the maximum allowed data traffic in the view networking link.
Optionally, the pre-established transient data safety factor model includes:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
Optionally, the impact-resistance safety factor value is calculated by:
and/or
Where KCJK is the impact safety factor value and t is the bearing time or strain time at risk.
In a third aspect, an embodiment of the present invention provides a terminal device, including: at least one processor and memory;
the memory stores a computer program; the at least one processor executes the computer program stored by the memory to implement the method for detecting a network status of an internet of view provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed, the method for detecting a network status of a video networking system according to the first aspect is implemented.
The embodiment of the invention has the following advantages:
according to the method, the device, the terminal equipment and the storage medium for detecting the network state of the video networking, provided by the embodiment of the invention, the first data flow required by receiving the service data packet is obtained; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
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FIG. 1 is a flow chart of steps of an embodiment of a method for detecting network status of a video network of the present invention;
FIG. 2 is a flow chart of steps in another embodiment of a method for detecting network status in a video networking of the present invention;
FIG. 3 is a schematic diagram of a transient data impact factor determination network state according to the present invention;
FIG. 4 is a schematic illustration of the determination of performance status of the video networking server of the present invention;
FIG. 5 is a schematic representation of yet another decision performance state of the video networking server of the present invention;
FIG. 6 is a flowchart of the steps of an embodiment of a method of detecting a performance state of a video networking server of the present invention;
FIG. 7 is a flow chart of steps of an embodiment of a method of detecting performance states of a video networking switch of the present invention;
FIG. 8 is a block diagram of an embodiment of the apparatus for detecting the network status of the video network according to the present invention;
fig. 9 is a schematic structural diagram of a terminal device of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
The video networking is an important milestone for network development, is a real-time network, can realize high-definition video real-time transmission, and pushes a plurality of internet applications to high-definition video, and high-definition faces each other.
The video networking adopts a real-time high-definition video exchange technology, can integrate required services such as dozens of services of video, voice, pictures, characters, communication, data and the like on a system platform on a network platform, such as high-definition video conference, video monitoring, intelligent monitoring analysis, emergency command, digital broadcast television, delayed television, network teaching, live broadcast, VOD on demand, television mail, Personal Video Recorder (PVR), intranet (self-office) channels, intelligent video broadcast control, information distribution and the like, and realizes high-definition quality video broadcast through a television or a computer.
Based on the characteristics of the video network, one of the core concepts of the embodiment of the invention is provided, and the first data flow required by receiving the service data packet is acquired according to the protocol of the video network; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
The nouns are explained as follows:
and (3) video networking: a real-time large-bandwidth transmission network based on Ethernet hardware is used for a special network for transmitting high-definition video and a special protocol at a high speed.
Safety factor: the method is a normalized quantitative index representing a certain safety attribute, the value range is 0-1, and the larger the safety factor value is, the unsafe is represented.
An embodiment of the present invention provides a method for detecting a network state of a video network, which is used for detecting a network state of a network link. The execution subject of the embodiment is a video network server.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a method for detecting a network status of a video network according to the present invention is shown, where the method specifically includes the following steps:
s101, acquiring a first data flow required by receiving a service data packet;
specifically, in order to know the network state of the video network in real time during the service process, and to take corresponding measures according to different network states to ensure that the data transmission of the service can be performed normally, an embodiment of the present invention provides a method for detecting the network state of the video network based on a network security factor, where the network security factor includes an explicit factor and an implicit factor, the explicit factor includes a super bandwidth factor, a transient data impact factor, an impact resistance factor, a multi-channel skewed factor, and the like, and the implicit factor includes a shock wave vortex, a data storm intensity distribution, and the like.
The video network server receives the service data packet and acquires a first data flow required by receiving the service data packet.
S102, determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises a super-bandwidth safety factor model and a transient data safety factor model;
specifically, in the embodiment of the present invention, a dominant factor is used to determine the network state, where the dominant factor includes an ultra-bandwidth security factor and a transient data security factor, and therefore, a security factor model needs to be established in advance on the internet of view server, where the security factor model includes an ultra-bandwidth security factor model and a transient data security factor model.
And the video network server respectively inputs the acquired first data flow into the ultra-bandwidth safety factor model and the transient data safety factor model to obtain a first safety factor value.
S103, if the first safety factor value is larger than a preset safety factor value, displaying alarm information.
Specifically, the video network server judges the first safety factor value and the preset safety factor value, and if the first safety factor value is greater than the preset safety factor value, it indicates that a problem occurs in the current network state, for example, there is a potential safety hazard, a network congestion occurs, packet loss is caused, service capability is lost, and the like, and the video network server displays alarm information.
The method for detecting the network state of the video network, provided by the embodiment of the invention, comprises the steps of acquiring a first data flow required by receiving a service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
The present invention further provides a supplementary description of the method for detecting the network status of the video network provided in the above embodiment.
As shown in fig. 2, a flowchart illustrating steps of another embodiment of a method for detecting a network status of an internet of view according to the present invention is shown, and the method for detecting a network status of an internet of view includes:
s201, acquiring a second data flow for receiving a test data packet in the test service;
specifically, before the above embodiment is executed, it is necessary to perform performance detection on a certain program on the video network server, and when a test service is performed, the video network server acquires a test data packet from the network card and acquires a second data traffic required for receiving the test data packet.
S202, determining a second ultra-bandwidth safety factor value according to the second data flow and a pre-established ultra-bandwidth safety factor model;
specifically, the video network server inputs the second data traffic into a pre-established ultra-bandwidth security factor model and a pre-established transient data security factor model respectively, wherein the ultra-bandwidth security factor is used for representing that the real-time consumed data traffic is greater than a preset ultra-bandwidth security factor threshold value within a certain period of time, the transient data security factor is used for representing that the instantaneous consumed data traffic is greater than a preset transient data security factor threshold value at a certain moment, and the network state is judged through the ultra-bandwidth security factor value and the transient data security factor value.
Specifically, the pre-established ultra-bandwidth security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a second data traffic;
f is the maximum allowed data traffic in the view networking link.
And the video network server inputs the second data flow into the formula to obtain a second ultra-bandwidth security factor value.
S203, determining a second transient data safety factor value according to the second data flow and a pre-established transient data safety factor model;
specifically, the pre-established transient data safety factor model includes:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
The second data traffic is input into the above formula by the internet of view server, i.e. the data traffic that increases instantaneously at a certain time, and the transient data security factor value at that time, i.e. the second transient data security factor value, is calculated.
S204, if the second ultra-bandwidth safety factor value is larger than a preset ultra-bandwidth safety factor and/or the second transient data safety factor value is larger than a preset transient data safety factor, respectively acquiring the bearing time corresponding to the second data traffic;
specifically, the video network server respectively acquires the bearing time corresponding to the second data traffic under the condition that the second ultra-bandwidth security factor value is greater than the preset ultra-bandwidth security factor or the second transient data security factor value is greater than the preset transient data security factor;
for example, if the second ultra-wideband security factor value is a negative value, the time during which the service data can be transmitted in this case is counted, that is, in this case, a certain program on the video network server can still run normally, and once the time exceeds the endurance time, the program breaks down and the service cannot continue.
S205, calculating an anti-impact safety factor value according to the second ultra-bandwidth safety factor value and/or the second transient data safety factor value.
Specifically, the internet of view server calculates the anti-impact security factor value according to the second ultra-bandwidth security factor value and/or the second transient data security factor value, so as to determine the performance of a certain program on the internet of view server according to the anti-impact security factor value.
The impact resistance safety factor value is calculated as follows:
and/or
Where KCJK is the impact safety factor value and t is the bearing time or strain time at risk.
S206, acquiring a first data flow required by receiving the service data packet;
since step S206 is the same as step S101 in the embodiment shown in fig. 1. Step S101 has already been described in detail in fig. 1, and therefore step S206 is not described again here.
S207, determining a first ultra-bandwidth safety factor value according to the first data flow and the ultra-bandwidth safety factor model;
and/or
And determining a first transient data safety factor value according to the first data flow and the transient data safety factor model.
Specifically, the pre-established ultra-bandwidth security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a first data traffic;
f is the maximum allowed data traffic in the view networking link.
Specifically, the pre-established transient data safety factor model includes:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
And the video network server inputs the first data traffic into the two models respectively to obtain a first transient data security factor value and a first ultra-bandwidth security factor value.
And S208, under the condition that the first data flow and the second data flow are the same, if the first safety factor value is larger than the preset safety factor value, displaying alarm information, and executing processing operation according to the bearing time of the first safety factor value and the second data flow, wherein the processing operation comprises one or more of pre-expansion, temporary current limitation, dynamic data relief or data distribution.
Specifically, under the condition that the first data traffic and the second data traffic are the same, the video network server judges that the first ultra-bandwidth security factor value is greater than a preset ultra-bandwidth security factor, or the first transient data security factor value is greater than a preset transient data security factor, displays the alarm information, and executes processing operation according to the bearing time of the first data traffic and the second data traffic, wherein the processing operation comprises one or more of pre-expansion, temporary current limiting, dynamic data relieving or data distribution, so that the network state can be acquired in time, and meanwhile, expressions can be adopted in time within the bearing time range, and normal transmission of service data is ensured.
Fig. 6 is a flowchart of steps of an embodiment of the method for detecting the performance state of the video network server according to the present invention, and as shown in fig. 6, the video network server is tested in advance for the impact resistance factor capability, and the performance of an application program executed on the video network server is evaluated, that is, the bearing time t for normal operation is counted under the condition that the transient data impact factor or the ultra-bandwidth factor is constant, and the impact resistance factor is calculated according to the transient data impact factor or the ultra-bandwidth factor and the bearing time.
The detection method comprises the following steps: the specific calculation formula is as follows:
1. monitoring the second data flow of the captured physical network card in real time;
2. and calculating the ultra-bandwidth safety factor and the transient data safety factor, and judging whether the ultra-bandwidth safety factor and the transient data safety factor exceed a preset threshold value.
1) Ultra-bandwidth factor CDKR: the matching degree of the self bandwidth bearing capacity and the operation environment and the strength of the self capacity are reflected.
CDKR＝(Fa－F)/F；
In the formula, Fa is the actual bandwidth carrying capacity load, i.e. the first data traffic, and F is the designed maximum allowed bandwidth carrying load, i.e. the maximum data traffic in the link of the video network.
The judgment basis is as follows: when the CDKR > is delta and delta is an ultra-bandwidth factor threshold value, and the threshold values are different in different network environment threshold values, an alarm is given, so that the conditions that potential safety hazards exist in the network environment, network congestion is prone to occur, packet loss is caused, service capability is lost and the like are indicated.
2) Transient data impact factor STDR: the data quantity suddenly rises linearly by 90 degrees at a certain time. The reaction network may be attacked by a malicious network to some extent, such as a data flooding attack, that is, network data is sent all the time to try out the current network data protection and data security structure form, as shown in fig. 3;
where Δ M is the data increment per unit time, and Δ t is the unit interval time (unit millisecond ms).
The judgment basis is as follows: when the STDR is equal to eta, the eta is a transient data impact factor threshold value, an alarm is given out to indicate that data impact exists in the network environment, early warning is carried out in time, data verification is carried out on the network data, whether the data are Trojan horse viruses or other illegal data is judged, and corresponding processing is carried out according to a verification result.
3. And when the ultra-bandwidth safety factor exceeds the ultra-bandwidth factor threshold or the transient data impact factor exceeds the transient data impact factor threshold, the video network server acquires the corresponding bearing time T according to the ultra-bandwidth safety factor and the transient data impact factor.
4. And the video network server calculates an impact resistance safety factor according to the ultra-bandwidth safety factor and the transient data impact factor, wherein the impact resistance safety factor KCJR: refers to the preprocessing capability aiming at various risks when a risk alarm is met. Such as the degree of time to guarantee good environment after certain measures in the ultra-wideband state, as shown in fig. 4, or the ability to quickly analyze data at data impact, as shown in fig. 5, in the ultra-wideband state.
Or
Wherein CDKR is super bandwidth factor; STDR is the transient data impact factor and t is the time to withstand or strain at risk. A larger KCJR represents a greater risk of resistance.
Fig. 7 is a flowchart of steps of an embodiment of a method for detecting a performance state of a video networking switch according to the present invention, where as shown in fig. 7, the video networking switch is connected to a video networking server, and the video networking switch is configured to allocate data of two channels and further perform data transmission, and when two channels of the video networking switch operate simultaneously, a skewed security factor may be used to evaluate the performance of the video networking switch, and the specific method includes:
a1, acquiring data traffic of a channel B and data traffic of a channel A in real time;
a2, performing deviation safety factor calculation according to the data flow of the channel B and the data flow of the channel A to obtain a deviation safety factor value; the specific calculation method is as follows:
the partial security factor PTR refers to the security problem caused by the incompatibility of the carrying capacity required between channels in the two-channel network environment.
PTR＝2|σ1－σ2|/|σ1+σ2|；
Where σ 1 and σ 2 are the data traffic between the subchannels.
The judgment basis is as follows: when the PTR is larger than the delta and the delta is an offset load factor threshold (different structural thresholds), the network structure has potential safety hazards.
And A3, if the deviation safety factor value is larger than the preset deviation safety factor threshold value, adopting a deviation rectifying measure.
The embodiment of the invention provides a concept of network safety factors, sets network safety factor sets aiming at a series of factors influencing links and data safety, applies the network safety factor sets to network data and link safety real-time monitoring and ensures that links of a video network are safe and data smooth.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
The method for detecting the network state of the video network, provided by the embodiment of the invention, comprises the steps of acquiring a first data flow required by receiving a service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
Another embodiment of the present invention provides a device for detecting a network status of an internet of view, which is used to execute the method for detecting a network status of an internet of view provided by the foregoing embodiment.
Referring to fig. 8, a block diagram of an embodiment of the apparatus for detecting network status of video networking of the present invention is shown, and the apparatus may specifically include the following modules: an obtaining module 801, a determining module 802, and a judging module 803, wherein:
the obtaining module 801 is configured to obtain a first data flow required for receiving a service data packet;
the determining module 802 is configured to determine a first safety factor value according to the first data traffic and a pre-established safety factor model, where the pre-established safety factor model includes an ultra-bandwidth safety factor model and a transient data safety factor model;
the determining module 803 is configured to display an alarm message if the first safety factor value is greater than a preset safety factor value.
The detection device for the network state of the video network, provided by the embodiment of the invention, obtains the first data flow required by receiving the service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
The present invention further provides a supplementary description of the apparatus for detecting the network status of the video network provided in the above embodiments.
Optionally, the determining module 802 is configured to:
determining a first ultra-bandwidth safety factor value according to the first data flow and the ultra-bandwidth safety factor model;
and/or
And determining a first transient data safety factor value according to the first data flow and the transient data safety factor model.
Optionally, the apparatus further comprises a computing module configured to:
acquiring a second data flow for receiving the test data packet in the test service;
determining a second ultra-bandwidth safety factor value according to the second data flow and a pre-established ultra-bandwidth safety factor model;
determining a second transient data safety factor value according to the second data flow and a pre-established transient data safety factor model;
if the second ultra-bandwidth safety factor value is greater than a preset ultra-bandwidth safety factor and/or the second transient data safety factor value is greater than a preset transient data safety factor, respectively acquiring the bearing time corresponding to the second data traffic;
and calculating an impact-resistant safety factor value according to the second ultra-bandwidth safety factor value and/or the second transient data safety factor value.
Optionally, the apparatus further comprises a processing module configured to:
under the condition that the first data traffic and the second data traffic are the same, if the first safety factor value is larger than the preset safety factor value, executing processing operation according to the bearing time of the first safety factor value and the second data traffic, wherein the processing operation comprises one or more of pre-expansion, temporary current limiting, dynamic data relieving or data distribution.
Optionally, the pre-established ultra-bandwidth security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a first data traffic;
f is the maximum allowed data traffic in the view networking link.
Optionally, the pre-established transient data safety factor model includes:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
Optionally, the impact-resistance safety factor value is calculated by:
and/or
Where KCJK is the impact safety factor value and t is the bearing time or strain time at risk.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The detection device for the network state of the video network, provided by the embodiment of the invention, obtains the first data flow required by receiving the service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
Still another embodiment of the present invention provides a terminal device, configured to execute the method for detecting a network status of a video network provided in the foregoing embodiment.
Fig. 9 is a schematic structural diagram of a terminal device of the present invention, and as shown in fig. 9, the terminal device includes: at least one processor 901 and memory 902;
the memory stores a computer program; the at least one processor executes the computer program stored in the memory to implement the method for detecting the network status of the video networking provided by the above embodiments.
The terminal device provided in this embodiment obtains a first data traffic required for receiving a service data packet; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
Yet another embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed, the method for detecting the network status of the video networking provided in any of the above embodiments is implemented.
According to the computer-readable storage medium of the embodiment, a first data flow required for receiving a service data packet is obtained; determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model; if the first safety factor value is larger than the preset safety factor value, the alarm information is displayed, the real-time data flow in the service link is judged through the safety factor model, and the network state can be accurately and quickly judged.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing electronic device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing electronic devices to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing electronic device to cause a series of operational steps to be performed on the computer or other programmable electronic device to produce a computer implemented process such that the instructions which execute on the computer or other programmable electronic device provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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 electronic device 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 electronic device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or electronic device that comprises the element.
The foregoing describes in detail a method and an apparatus for detecting a network status of a video network according to the present invention, and a specific example is applied in the present document to explain the principle and the implementation of the present invention, and the description of the foregoing embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for detecting network status of a video network, the method comprising:
acquiring a first data flow required by receiving a service data packet;
determining a first safety factor value according to the first data flow and a pre-established safety factor model, wherein the pre-established safety factor model comprises an ultra-bandwidth safety factor model and a transient data safety factor model;
and if the first safety factor value is larger than a preset safety factor value, displaying alarm information.
2. The method of claim 1, wherein determining a first security factor value based on the first data traffic and a pre-established security factor model comprises:
determining a first ultra-bandwidth safety factor value according to the first data flow and the ultra-bandwidth safety factor model;
and/or
And determining a first transient data safety factor value according to the first data flow and the transient data safety factor model.
3. The method of claim 1, wherein prior to said obtaining the first data traffic required to receive the service data packet, the method further comprises:
acquiring a second data flow for receiving the test data packet in the test service;
determining a second ultra-bandwidth safety factor value according to the second data flow and a pre-established ultra-bandwidth safety factor model;
determining a second transient data safety factor value according to the second data flow and a pre-established transient data safety factor model;
if the second ultra-bandwidth safety factor value is greater than a preset ultra-bandwidth safety factor and/or the second transient data safety factor value is greater than a preset transient data safety factor, respectively acquiring the bearing time corresponding to the second data traffic;
and calculating an impact-resistant safety factor value according to the second ultra-bandwidth safety factor value and/or the second transient data safety factor value.
4. The method of claim 3, further comprising:
under the condition that the first data traffic and the second data traffic are the same, if the first safety factor value is larger than the preset safety factor value, executing processing operation according to the bearing time of the first safety factor value and the second data traffic, wherein the processing operation comprises one or more of pre-expansion, temporary current limiting, dynamic data relieving or data distribution.
5. The method of claim 1, wherein the pre-established ultra-wideband security factor model comprises:
CDKR＝(Fa－F)/F；
wherein CDKR is the super bandwidth factor value;
fa is a first data traffic;
f is the maximum allowed data traffic in the view networking link.
6. The method of claim 1, wherein the pre-established transient data security factor model comprises:
wherein, STDR is a transient data security factor value; Δ M is an increase amount of the data traffic per unit time, and Δ t is a unit interval time.
7. The method of claim 3, wherein the impact resistance safety factor value is calculated by:
and/or
Where KCJK is the impact safety factor value and t is the bearing time or strain time at risk.
8. An apparatus for detecting network status of a video network, the apparatus comprising:
the acquisition module is used for acquiring a first data flow required by receiving the service data packet;
a determining module, configured to determine a first safety factor value according to the first data traffic and a pre-established safety factor model, where the pre-established safety factor model includes an ultra-bandwidth safety factor model and a transient data safety factor model;
and the judging module is used for displaying alarm information if the first safety factor value is greater than a preset safety factor value.
9. A terminal device, comprising: at least one processor and memory;
the memory stores a computer program; the at least one processor executes the memory-stored computer program to implement the method of detecting a state of an internet of view network of any of claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored, which, when executed, implements the method for detecting a state of a network of video networking according to any one of claims 1 to 7.
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