A switching system and method based on OLP protection monitoring data analysis

Abstract

The application discloses a kind of based on OLP protection monitoring data analysis switching system and method, belong to network monitoring technical field, including network communication module, network communication module includes a main line and at least two above standby line, for network communication transmission;Monitoring module, for obtaining the data parameter information generated when network communication module operates;Analysis module, according to the data parameter information generated is analyzed to generate network state value, to determine whether the main line occurs communication anomaly;Decision module, when the main line occurs communication anomaly, select the best standby line to switch over.The application can determine the potential network abnormal phenomenon of main line according to the network state value condition under multiple time periods, which can more deeply determine the network quality of main line, so as to switch the line in time, ensure the normal transmission of network communication.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of network monitoring, and particularly relates to a switching system and method based on OLP protection monitoring data analysis. BACKGROUND

[0002] With the rapid development of the information age, optical communication systems have become the core infrastructure of modern communication networks and are widely used in the fields of telecommunications, the Internet, data centers, etc. As a key technology to ensure the reliability of optical communication networks, the optical line protection (OLP) system deploys a backup line outside the main optical fiber line and automatically switches to the backup line when the main line fails, ensuring the continuity of communication services.

[0003] The existing switching of the OLP system is usually based on a simple signal strength threshold. When the signal strength of the main line is lower than the preset threshold, the switching is started. This method only considers the influence of signal strength on the network and is not comprehensive enough. For example, when the bit error rate of the main line rises, the signal strength may still be above the threshold, and the actual transmission quality has seriously decreased. At this time, the system cannot trigger the switching in time, resulting in damaged services. Moreover, the existing backup line is mostly single. When the main line is abnormal, it is automatically switched to the backup line. However, the backup line may also have abnormal phenomena, which may still cause network abnormalities. SUMMARY

[0004] The purpose of the present application is to provide a switching system and method based on OLP protection monitoring data analysis to solve the problems faced in the background art.

[0005] The purpose of the present application can be achieved by the following technical solutions:

[0006] A switching system based on OLP protection monitoring data analysis, the system comprising:

[0007] A network communication module, the network communication module comprising a main line and at least two backup lines, for network communication transmission;

[0008] A monitoring module, the monitoring module being used to obtain data parameter information generated by the network communication module during operation;

[0009] An analysis module, the analysis module being used to analyze the obtained data parameter information, generate a network state value, and determine whether the main line has a communication abnormality according to the network state value;

[0010] A decision module, the decision module being used to select the best backup line for switching when it is determined that the main line has a communication abnormality.

[0011] Further, the analysis module working method is:

[0012] Every Δt time period, continuously acquire the positive gain data parameters and negative gain parameters of the main line, thereby respectively generating a first state coefficient R F and a second state coefficient R S ;

[0013] Obtain the network state value R through the formula ;

[0014] When R>R r , it is judged that the main line has a communication abnormality;

[0015] Wherein, T is the average temperature of the main line optical fiber in the Δt time period, T0 is the optimal temperature of the main line optical fiber in the Δt time period, R r is a preset network state judgment threshold.

[0016] Further, the first state coefficient R F Acquisition method is:

[0017] Acquire a plurality of positive gain data parameters in the Δt time period, and obtain the first state coefficient R F through the formula ;

[0018] Wherein, m is the total number of acquired positive gain data, is the average value of the ith positive gain data in the Δt time period, maxE i is the maximum value of the ith positive gain data in the Δt time period, is the maximum value duration of the ith positive gain data in the Δt time period, and i∈[1, m].

[0019] Further, the second state coefficient R S Acquisition method is:

[0020] Acquire a plurality of negative gain data parameters in the Δt time period, and obtain the second state coefficient R S through the formula ;

[0021] Wherein, n is the total number of acquired negative gain data, is the average value of the jth negative gain data in the Δt time period, maxD j is the maximum value of the jth negative gain data in the Δt time period, is the maximum value duration of the jth negative gain data in the Δt time period, and j∈[1, n].

[0022] Further, the decision module working method is:

[0023] According to the network transmission demand of the main line, set the best value of each data parameter And the weight proportion of each parameter Through the formula The difference value XX of each standby line is obtained, and the standby line with the minimum difference value is selected for switching;

[0024] Wherein, gd is the number of failures occurred during the historical use of each standby line, U k The kth data parameter obtained by each standby line, c is the total number of obtained data parameters, ΔU k The comparison value of the kth data parameter set.

[0025] Further, the working method of the decision module further includes:

[0026] When the standby line is used, set a monitoring period ΔT, and monitor the difference value of each standby line in real time, and draw the difference value-time curve function XX(T);

[0027] Through the formula The difference value variation coefficient δ of each standby line is obtained;

[0028] The difference value variation coefficient of the standby line used is compared with the difference value variation coefficient of other standby lines not used:

[0029] If the difference value variation coefficient of the standby line used is the smallest, continue to use the standby line, otherwise select the standby line with the smallest difference value variation coefficient for switching;

[0030] Wherein, maxXX is the maximum difference value in the monitoring period ΔT, minXX is the minimum difference value in the monitoring period ΔT, ΔXX is the set difference value comparison value, T1 is the start time of the monitoring period, and T2 is the end time of the monitoring period.

[0031] Further, the working method of the analysis module further includes:

[0032] When the main line does not occur communication anomaly, the size of network state value R in h Δt time period is obtained, and the network state value-time curve function R(x) is drawn;

[0033] Through the formula The potential abnormal risk value W of the main line is calculated;

[0034] When W>W r , it is also judged that the main line appears communication anomaly, and the main line is switched;

[0035] wherein, W r is a preset judgment threshold, sigma R is a fluctuation coefficient, x h is a last time period, R0(x) is a preset network state value standard curve function changing with time period, and maxR'(x) is a maximum network state value.

[0036] Further, the fluctuation coefficient sigma R The acquisition method is:

[0037] The fluctuation coefficient sigma R is obtained by formula , R τ is a network state value size obtained in the tau-th Delta t time period.

[0038] A switching method based on OLP protection monitoring data analysis, the switching method is controlled and implemented through the switching system based on OLP protection monitoring data analysis.

[0039] The beneficial effects of the present application are:

[0040] The present application can comprehensively analyze the main line according to a plurality of data parameter information generated when the main line is running, including positive gain parameters and negative gain parameters, and in combination with the optical fiber temperature condition, so that the abnormal phenomenon of the main line network communication can be more accurately judged, the running condition of the main line network can be more comprehensively and accurately evaluated, the occurrence of missed judgment can be avoided, and the reliability and stability of the optical communication network are effectively improved.

[0041] The present application can judge the potential network abnormal phenomenon of the main line according to the network state value condition in a plurality of time periods, so that the main line network quality can be more deeply judged, the line can be switched in time, and the normal transmission of network communication can be ensured.

[0042] The present application can set a plurality of backup lines when switching the backup line, select the optimal backup line according to the difference value between the data parameters of each backup line and the required data parameters, further improve the stability of the network quality, and monitor the network quality of the backup line in real time when the backup line is transmitted, and select the backup line as the optimal line for automatic switching, so that the quality of the entire communication network propagation can be ensured.

[0043] Of course, any product implementing the present application does not necessarily need to achieve all the advantages described above at the same time. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed for the description of the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained from these drawings without creative labor.

[0045] Figure 1 The structural block diagram of the system of the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings of the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, and not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0047] In one embodiment, a switching system based on OLP protection monitoring data analysis is disclosed, as shown in FIG. 1, the system comprises: Figure 1

[0048] A network communication module, the network communication module comprises a main line and at least two standby lines, for network communication transmission;

[0049] A monitoring module, the monitoring module is used to obtain data parameter information generated by the network communication module during operation;

[0050] An analysis module, the analysis module analyzes according to the obtained data parameter information, generates a network state value, and judges whether the main line has communication abnormality according to the network state value;

[0051] A decision module, the decision module selects the best standby line for switching when judging that the main line has communication abnormality.

[0052] ​By the technical solution, the application obtains multiple data parameter information generated by the network communication module during operation, including positive gain parameters and negative gain parameters, and obtains a network state value through comprehensive analysis by the analysis module, and determines whether the main line network communication has abnormal phenomena according to the network state value, so that the operation of the main line network can be more comprehensively and accurately evaluated, and the occurrence of missed judgment can be avoided, thereby effectively improving the reliability and stability of the optical communication network. In addition, the analysis module also determines the potential network abnormal phenomena of the main line according to the network state value in multiple time periods when the main line network does not have communication abnormality, so that the main line network quality can be determined in a deeper level, thereby timely switching the line to ensure normal transmission of network communication. Meanwhile, multiple backup lines are set when switching the backup line, and the optimal backup line is selected according to the difference value between the data parameters of each backup line and the required data parameters, so that the stability of the network quality can be further improved, and the network quality of the backup line can be monitored in real time when the backup line is transmitted, and the backup line is selected as the optimal line for automatic switching, so that the quality of the entire communication network propagation can be ensured.

[0053] The working method of the analysis module is that the positive gain data parameters and the negative gain parameters of the main line are continuously obtained every Δt time period, so as to generate a first state coefficient R F and a second state coefficient R S , and the network state value R is obtained through the formula .

[0054] When R>R r , it is determined that the main line has communication abnormality.

[0055] Wherein, T is the average temperature of the main line optical fiber in the Δt time period, T0 is the optimal temperature of the main line optical fiber in the Δt time period, R r is a preset network state judgment threshold.

[0056] The first state coefficient R F is obtained by obtaining multiple positive gain data parameters in the Δt time period, and the first state coefficient R F is obtained through the formula .

[0057] Wherein, m is the total number of obtained positive gain data, is the average value of the ith positive gain data in the Δt time period, maxE i is the maximum value of the ith positive gain data in the Δt time period, is the maximum value duration of the ith positive gain data in the Δt time period, and i∈[1, m];

[0058] And the second state coefficient R S The acquisition method is: acquiring a plurality of negative gain data parameters in the Δt time period, and obtaining the first state coefficient R The second state coefficient R S ;

[0059] Wherein, n is the total number of negative gain data acquired, The average value of the jth negative gain data in the Δt time period, maxD j The maximum value of the jth negative gain data in the Δt time period, The maximum value duration of the jth negative gain data in the Δt time period, and j∈[1, n].

[0060] The above technical scheme mainly provides a specific method for the analysis module to determine whether the main line exists communication abnormality. First, the network quality is determined from a plurality of data parameters to improve the determination accuracy. Since there may be instantaneous fluctuations in the network, pure calculation may have errors, therefore, a Δt time period is set to continuously acquire the positive gain data parameters and negative gain parameters of the main line. The positive gain data parameters can be optical power, signal strength, optical signal-to-noise ratio and the like. Generally, the larger the value, the better the network communication quality. The negative gain parameters can be bit error rate, delay, jitter value, polarization mode dispersion value and the like. Generally, the larger the value, the worse the network communication quality. Therefore, a plurality of positive gain data parameters in the Δt time period are acquired, and the first state coefficient R The first state coefficient R F A plurality of negative gain data parameters in the Δt time period are acquired, and the second state coefficient R The second state coefficient R S The average value of each data parameter and the maximum value in the time period are comprehensively analyzed, which can more accurately indicate the network communication condition in the time period. As can be seen from the formula, the larger the value of the first state coefficient, the better the network communication quality, and the larger the value of the second state coefficient, the worse the network communication quality. Finally, the network state value R is obtained by the formula The network communication quality is also related to the temperature of the environment in which the optical fiber is located. The temperature of the optical fiber is too high or too low, which may affect the transmission performance of the optical fiber. When the temperature of the optical fiber exceeds the normal working range, such as higher than 80℃ or lower than -20℃, it may cause the loss of the optical fiber to increase, the refractive index to change, and further affect the transmission of the optical signal. Therefore, a best temperature T0 is set according to experience, and the average temperature T of the main line optical fiber in the Δt time period is acquired, so as to obtain the network state value R. It can be seen that the larger the value of the network state value R, the worse the network communication quality, therefore, it is compared with the network state judgment threshold R r According to the empirical data, when R>R rWhen the value is greater than the threshold value, it indicates that the network of the main line has a communication abnormality at this time, and OLP switching needs to be performed to switch to the standby line to ensure normal transmission of network communication. Through this method, the abnormality of the network communication of the main line can be more accurately judged according to the multiple data parameter information generated by the main line in operation, including the positive gain parameter and the negative gain parameter, and the optical fiber temperature condition is comprehensively analyzed, the running condition of the main line network can be more comprehensively and accurately evaluated, the occurrence of missed judgment is avoided, and the reliability and stability of the optical communication network are effectively improved.

[0061] The working method of the analysis module further includes: when the main line does not have a communication abnormality, obtaining the size of the network state value R in h Δt time periods, and formulating a network state value-time period number change curve function R(z);

[0062] The potential abnormality risk value W of the main line is calculated through the formula

[0063] When W>W r , it is also judged that the main line has a communication abnormality, and the main line is switched;

[0064] Wherein, W r is a preset judgment threshold, σ R is a fluctuation coefficient, x h is the last time period, R0(x) is a preset network state value-time period change standard curve function, maxR'(x) is the maximum network state value, and the fluctuation coefficient σ R is obtained through the formula , and R τ is the size of the network state value obtained in the τth Δt time period.

[0065] The above technical solution mainly provides a method for the analysis module to judge the potential network abnormality of the main line. Although the main line does not have a communication abnormality, if the network state values obtained in multiple time periods do not exceed the threshold value, but fluctuate around the threshold value and show an upward trend, it also indicates that the network communication has an abnormality. Therefore, when the main line does not have a communication abnormality, the size of the network state value R in h Δt time periods is obtained, and a network state value-time period number change curve function R(x) is formulated, and the potential abnormality risk value W of the main line is calculated through the formula R0(x) is a preset network state value-time period change standard curve function, which is formulated according to historical data under normal network and experience data; the fluctuation coefficient is a formula which indicates a fluctuation condition of the network state value in h time periods. The greater the value is, the more unstable it indicates, and the greater the possibility of network communication abnormality is.​ represents the difference between the proposed network state value change and the standard change, the greater the value, the greater the possibility of abnormal network communication, therefore, the greater the abnormal risk value W, the more obvious the potential network abnormality of the main line, so it is compared with the judgment threshold W r r When W> W r , it means that there is a potential network abnormality in the main line, so it is judged that the main line has a communication abnormality, and the main line is switched. In this way, the potential network abnormality of the main line can be judged according to the network state value in multiple time periods, so that the network quality of the main line can be judged in a deeper level, so that the line can be switched in time to ensure the normal transmission of network communication.

[0066] The working method of the decision module is: according to the network transmission demand of the main line, the best value of each data parameter and the weight proportion of each parameter is set The difference value XX of each standby line is obtained through the formula , and the standby line with the smallest difference value is selected for switching;

[0067] Among them, gd is the number of failures in the historical use of each standby line, U k is the kth data parameter obtained by each standby line, c is the total number of obtained data parameters, ΔU k is the comparison value of the kth data parameter set;

[0068] The working method of the decision module also includes: setting a monitoring period ΔT when the standby line is used, and monitoring the difference value of each standby line in real time, and formulating a difference value-time change curve function XX(T);

[0069] The difference value change coefficient δ of each standby line is obtained through the formula

[0070] The difference value change coefficient of the standby line in use is compared with the difference value change coefficient of the other standby lines not in use:

[0071] If the difference value change coefficient of the standby line in use is the smallest, the standby line is continued to be used, otherwise the standby line with the smallest difference value change coefficient is selected for switching;

[0072] Among them, maxXX is the maximum difference value in the monitoring period ΔT, minXX is the minimum difference value in the monitoring period ΔT, ΔXX is the set difference value comparison value, T1 is the start time of the monitoring period, and T2 is the end time of the monitoring period.

[0073] The technical solution provides a specific method for the decision module to select an optimal standby line for switching, since multiple standby lines are set, in order to ensure network communication quality, an optimal standby line is generally selected for switching when switching, therefore, according to actual network transmission requirements of the main line, the optimal values of various data parameters are set in advance and the weight proportion of each parameter Then, the multiple data parameters corresponding to each standby line and the number of times of failures of each standby line when used historically are obtained, and the difference value ΔU of each standby line is obtained through the formula ΔU = ΔU1 + ΔU2 + ΔU3 + … + ΔUk k which is the comparison value of the kth data parameter, and can be determined according to historical data of each corresponding data parameter, it can be seen from the formula that the greater the value of the difference value ΔU, the worse the network transmission quality of the standby line, therefore, in order to ensure the network quality of the standby line during transmission, the standby line with the minimum difference value is selected for switching; similarly, during standby line transmission, network abnormal phenomena may occur in the standby line, therefore, a monitoring period ΔT is set when the standby line is used, the difference value of each standby line is monitored in real time, a difference value-time curve function ΔU(T) is drafted, and the difference value variation coefficient δ of each standby line is obtained through the formula ΔU = ΔU1 + ΔU2 + ΔU3 + … + ΔUk which is the comparison value of the kth data parameter, and can be determined according to historical data of each corresponding data parameter, it can be seen from the formula that the greater the value of the difference value ΔU, the worse the network transmission quality of the standby line, therefore, in order to ensure the network quality of the standby line during transmission, the standby line with the minimum difference value is selected for switching; similarly, during standby line transmission, network abnormal phenomena may occur in the standby line, therefore, a monitoring period ΔT is set when the standby line is used, the difference value of each standby line is monitored in real time, a difference value-time curve function ΔU(T) is drafted, and the difference value variation coefficient δ of each standby line is obtained through the formula which is the comparison value of the kth data parameter, and can be determined according to historical data of each corresponding data parameter, it can be seen from the formula that the greater the value of the difference value ΔU, the worse the network transmission quality of the standby line, therefore, in order to ensure the network quality of the standby line during transmission, the standby line with the minimum difference value is selected for switching; similarly, during standby line transmission, network abnormal phenomena may occur in the standby line, therefore, a monitoring period ΔT is set when the standby line is used, the difference value of each standby line is monitored in real time, a difference value-time curve function ΔU(T) is drafted, and the difference value variation coefficient δ of each standby line is obtained through the formula

[0074] In another embodiment, a switching method based on OLP protection monitoring data analysis is disclosed, which is controlled by the switching system based on OLP protection monitoring data analysis described in the above embodiment.

[0075] It should be noted that in order to facilitate calculation processing, the above calculation methods are all de-dimensioned calculations after processing, and the specific processing method of de-dimensioning is solved by the prior art, which will not be described too much here.

[0076] The above is only an example and description of the concept of the present application. Those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the concept of the present application or exceed the scope defined by the present claims, which should belong to the protection scope of the present application.

Claims

1. A switchover system based on OLP protection monitoring data analysis, characterized in that, The system comprises: a network communication module comprising a main line and at least two backup lines for network communication transmission; a monitoring module for obtaining data parameter information generated by the network communication module during operation; an analysis module for analyzing the obtained data parameter information, generating a network state value, and determining whether the main line has a communication abnormality according to the network state value; a decision module for selecting the best backup line for switching when determining that the main line has a communication abnormality; The analysis module working method is: every interval acquire the positive gain data parameter and the negative gain parameter of the main line, thereby generating the first state coefficient and the second state coefficient respectively, obtaining the network state value through the formula when , it is judged that the main line has communication abnormality;​ wherein, is the average temperature of the main line fiber in the time period, is the optimal temperature of the main line fiber in the time period, is a preset network state judgment threshold; The first state coefficient The acquisition method is to acquire A plurality of positive gain data parameters of the time period are obtained through the formula The first state coefficient ; wherein, is a total number of acquired positive gain data, is an average value of the ith positive gain data in a time period, is a maximum value of the ith positive gain data in a time period, is a maximum value duration of the ith positive gain data in a time period, and ; The second state coefficient The acquisition method is to acquire The plurality of negative gain data parameters of the time period are obtained through the formula The second state coefficient ; in, The total number of negative gain data points acquired. For the first A negative gain data in The average value over the time period For the first A negative gain data in The maximum value within the time period, For the first A negative gain data in The maximum duration within the time period, and .

2. The switchover system based on OLP protection monitoring data analysis according to claim 1, characterized in that, the working method of the decision module is: Based on the network transmission requirements of the main line, set the optimal values ​​for each data parameter. and the weighting of each parameter Through formula The difference values ​​of each backup line were obtained. Select the backup line with the smallest difference value for switching; in, This represents the number of times each backup line has experienced a failure during its historical usage. The first number obtained for each backup line One data parameter, To obtain the total number of data parameters, For setting the first The comparison value of each data parameter.

3. The switchover system based on OLP protection monitoring data analysis according to claim 2, characterized in that, the working method of the decision module further comprises: When the standby line is used, a monitoring period is set , the difference value of each standby line is monitored in real time, and a curve function of the difference value changing with time is drawn ; The difference value variation coefficient of each standby line is derived by the formula ;​ comparing the difference value fluctuation coefficient of the used backup line with the difference value fluctuation coefficient of other unused backup lines: if the difference value fluctuation coefficient of the used line is the smallest, the backup line is continuously used, otherwise the backup line with the smallest difference value fluctuation coefficient is selected for switching; wherein, is a maximum difference value within a monitoring period is a minimum difference value within a monitoring period is a maximum difference value within a monitoring period is a minimum difference value within a monitoring period is a set difference value comparison value is a monitoring period start time is a monitoring period end time.

4. The switchover system based on OLP protection monitoring data analysis according to claim 3, characterized in that, the working method of the analysis module further comprises: When the main line does not have communication abnormality, h is acquired The size of network state value in time period The network state value changes with the number of time period curve function ; The potential abnormal risk value of the main line is calculated by the formula ;​ When a communication abnormality occurs in the main line, the communication abnormality is also determined; wherein, is a preset judgment threshold value, is a fluctuation coefficient, is a last time period, is a preset network state value change standard curve function over time period, is a maximum network state value.

5. The switchover system based on OLP protection monitoring data analysis according to claim 4, characterized in that, The wave fluctuation coefficient The acquisition method is: The fluctuation coefficient is obtained by the formula , is the network state value size obtained in the first time period.​​ 6. A switchover method based on OLP protection monitoring data analysis, characterized in that, the switching method is controlled and implemented by the switching system based on OLP protection monitoring data analysis according to any one of claims 1-5.

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