Switching system and method based on OLP protection monitoring data analysis

Abstract

The invention discloses a switching system and method based on OLP protection monitoring data analysis, and belongs to the technical field of network monitoring, and the system comprises a network communication module which comprises a main line and at least two or more standby lines and is used for network communication transmission; the monitoring module is used for acquiring data parameter information generated by the network communication module during operation; the analysis module is used for analyzing and generating a network state value according to the acquired data parameter information so as to judge whether the main line is abnormal in communication or not; and the decision module is used for selecting the optimal standby line for switching when the main line is in communication abnormity. According to the method, the potential network abnormal phenomenon of the main line can be judged according to the network state value conditions in multiple time periods, so that the network quality of the main line can be judged in a deeper level, the line can be switched in time, and normal transmission of network communication is ensured.

Description

Technical Field

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

[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 fields such as telecommunications, the Internet, and data centers. As a key technology to ensure the reliability of optical communication networks, the optical line protection (OLP) system deploys a standby line outside the primary optical fiber line. When the primary line fails, it automatically switches to the standby line to ensure the continuity of communication services.

[0003] The existing switching of the OLP system is usually based on a simple signal strength threshold judgment. When the signal strength of the primary line is lower than the preset threshold, the switching is started. This method only considers the impact of signal strength on the network and is not comprehensive enough. For example, when the bit error rate of the primary line increases, but the signal strength may still be above the threshold, the actual transmission quality has seriously deteriorated. At this time, the system cannot trigger the switching in time, resulting in service damage. Moreover, this method only processes the monitoring data superficially and fails to fully explore the potential information in the data. In addition, most of the existing standby lines are set singly. When the primary line is abnormal, it automatically switches to the standby line, but the standby line may also have abnormalities, which will still cause network abnormalities. Summary of the Invention

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

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

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

[0007] A network communication module, the network communication module includes a primary line and at least two or more standby lines for network communication transmission;

[0008] A monitoring module, the monitoring module is used to obtain the data parameter information generated when the network communication module is running;

[0009] An analysis module, the analysis module analyzes according to the obtained data parameter information to generate a network status value, and judges whether the primary line has communication abnormalities according to the network status value;

[0010] A decision-making module, the decision-making module selects the best standby line for switching when it judges that the primary line has communication abnormalities.

[0011] Furthermore, the working method of the analysis module is as follows:

[0012] Every Δt time period, continuously obtain the positive gain data parameters and negative gain parameters of the main line, so as to generate the first state coefficient R F and the second state coefficient R S ;

[0013] Through the formula obtain the network status value R;

[0014] When R > R r it is determined that a communication anomaly has occurred in the main line;

[0015] wherein, T is the average temperature of the optical fiber of the main line within the Δt time period, T0 is the optimal temperature of the optical fiber of the main line within the Δt time period, and R r is a preset network status judgment threshold.

[0016] Furthermore, the obtaining method of the first state coefficient R F is as follows:

[0017] Obtain multiple positive gain data parameters within the Δt time period, and through the formula obtain the first state coefficient R F ;

[0018] wherein, m is the total number of positive gain data obtained, is the average value of the i-th positive gain data within the Δt time period, maxE i is the maximum value of the i-th positive gain data within the Δt time period, is the maximum value duration of the i-th positive gain data within the Δt time period, and i ∈ [1, m].

[0019] Furthermore, the obtaining method of the second state coefficient R S is as follows:

[0020] Obtain multiple negative gain data parameters within the Δt time period, and through the formula obtain the second state coefficient R S ;

[0021] wherein, n is the total number of negative gain data obtained, is the average value of the j-th negative gain data within the Δt time period, maxD j is the maximum value of the j-th negative gain data within the Δt time period, is the maximum value duration of the j-th negative gain data within the Δt time period, and j ∈ [1, n].

[0022] Furthermore, the working method of the decision-making module is as follows:

[0023] Set the optimal values of each data parameter according to the network transmission requirements of the main line and the weight ratio of each parameter Through the formula Obtain the difference value XX of each standby line, and select the standby line with the smallest difference value for switching;

[0024] where gd is the number of failures that occurred during the historical use of each standby line, U k is the k-th data parameter obtained by each standby line, c is the total number of data parameters obtained, and ΔU k is the comparison value of the k-th data parameter set.

[0025] Furthermore, the working method of the decision-making module also includes:

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

[0027] Through the formula Obtain the difference value change coefficient δ of each standby line;

[0028] Compare the difference value change coefficient of the used standby line with the difference value change coefficients of other unused standby lines:

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

[0030] where maxXX is the maximum difference value within the monitoring period ΔT, minXX is the minimum difference value within 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] Furthermore, the working method of the analysis module also includes:

[0032] When there is no communication anomaly in the main line, obtain the magnitude of the network state value R within h Δt time periods, and draw the curve function R(x) of the network state value changing with the number of time periods;

[0033] Through the formula Calculate the potential anomaly risk value W of the main line;

[0034] When W > W r then it is also determined that there is a communication anomaly in the main line, and the main line is switched.

[0035] Among them, W r is a preset judgment threshold, σ R is a fluctuation coefficient, x h is the last time period, R0(x) is a standard curve function of the preset network state value varying with the time period, and maxR'(x) is the maximum network state value.

[0036] Furthermore, the method for obtaining the fluctuation coefficient σ R is as follows:

[0037] The fluctuation coefficient σ is obtained through the formula R , where R τ is the magnitude of the network state value obtained in the τ-th Δt time period.

[0038] A switching method based on the analysis of OLP protection monitoring data, and the switching method is controlled and implemented by the switching system based on the analysis of OLP protection monitoring data as described above.

[0039] Advantages of the present invention:

[0040] The present invention can comprehensively analyze multiple data parameter information generated during the operation of the main line, including positive gain parameters and negative gain parameters, and combine with the optical fiber temperature situation, so as to more accurately judge whether there are abnormal phenomena in the main line network communication. In this way, the operation of the main line network can be evaluated more comprehensively and accurately, avoiding the occurrence of missed judgments, thereby effectively improving the reliability and stability of the optical communication network.

[0041] The present invention can judge potential network abnormal phenomena of the main line according to the network state value situation in multiple time periods. In this way, the network quality of the main line can be judged at a deeper level, so as to switch the line in time to ensure the normal transmission of network communication.

[0042] When the present invention performs standby line switching, multiple standby lines can be set, and the optimal standby line can be selected according to the difference value between the data parameters of each standby line and the required data parameters, which can further improve the stability of the network quality. Moreover, during the transmission of the standby line, the network quality of the standby line can be monitored in real time, and the standby line can be selected as the optimal line for automatic switching, so as to ensure the quality of the entire communication network transmission.

[0043] Of course, any product implementing the present invention does not necessarily need to achieve all the above advantages at the same time. Description of the Drawings

[0044] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0045] Figure 1 It is a block diagram of the structure of the system of the present invention. Specific embodiments

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0047] In one embodiment, it discloses a switching system based on the analysis of OLP protection monitoring data, as Figure 1 shown. The system includes:

[0048] A network communication module, which includes a main line and at least two or more standby lines for network communication transmission;

[0049] A monitoring module for obtaining data parameter information generated during the operation of the network communication module;

[0050] An analysis module that analyzes based on the obtained data parameter information to generate a network status value, and determines whether the main line has a communication anomaly according to the network status value;

[0051] A decision-making module that selects the best standby line for switching when it is determined that the main line has a communication anomaly.

[0052] Through the above technical solution, the present application obtains multiple data parameter information generated during the operation of the network communication module, including positive gain parameters, negative gain parameters, etc., and comprehensively analyzes them through an analysis module to obtain a network status value, and judges whether there is an abnormal phenomenon in the main line network communication according to the network status value. In this way, the operation of the main line network can be evaluated more comprehensively and accurately, avoiding missed judgments, and thus effectively improving the reliability and stability of the optical communication network; in addition, when there is no communication abnormality in the main line network, the analysis module judges potential network abnormal phenomena in the main line according to the network status values in multiple time periods. In this way, the quality of the main line network can be judged at a deeper level, so as to switch the line in time to ensure the normal transmission of network communication; at the same time, when switching the standby line, multiple standby lines are set, and the optimal standby line is selected according to the difference value between the data parameters of each standby line and the required data parameters, which can further improve the stability of the network quality. Moreover, when the standby line is transmitting, the network quality of the standby line can be monitored in real time, and the standby line is selected as the optimal line for automatic switching, which can ensure the quality of the entire communication network transmission.

[0053] The working method of the analysis module is as follows: every Δt time period, continuously obtain the positive gain data parameters and negative gain parameters of the main line, so as to generate the first state coefficient R respectively F and the second state coefficient R S , and obtain the network status value R through the formula ;

[0054] When R > R r , it is judged that there is a communication abnormality in the main line;

[0055] Among them, T is the average temperature of the main line optical fiber within the Δt time period, T0 is the optimal temperature of the main line optical fiber within the Δt time period, and R r is a preset network status judgment threshold.

[0056] The method for obtaining the first state coefficient R F is as follows: obtain multiple positive gain data parameters within the Δt time period, and obtain the first state coefficient R through the formula ; F ;

[0057] Among them, m is the total number of positive gain data obtained, is the average value of the i-th positive gain data within the Δt time period, maxE i is the maximum value of the i-th positive gain data within the Δt time period, is the maximum value duration of the i-th positive gain data within the Δt time period, and i ∈ [1, m];

[0058] And the second state coefficient R S The acquisition method is: acquire multiple negative gain data parameters in the time period Δt, and through the formula obtain the second state coefficient R S ;

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

[0060] The above technical solution mainly provides a specific method for the analysis module to judge whether there is communication abnormality in the main line. First, start from multiple data parameters to judge the network quality to improve the judgment accuracy. Since the network may have instantaneous fluctuations, simple calculation is prone to errors. Therefore, set a time period Δt to continuously acquire the positive gain data parameters and negative gain parameters of the main line. The positive gain data parameters can be parameters such as optical power, signal strength, and optical signal-to-noise ratio. Generally speaking, the larger the value, the better the network communication quality. The negative gain parameters can be parameters such as bit error rate, delay, jitter value, and polarization mode dispersion value. Generally speaking, the larger its value, the worse the network communication quality; therefore, acquire multiple positive gain data parameters in the time period Δt, and through the formula obtain the first state coefficient R F , acquire multiple negative gain data parameters in the time period Δt, and through the formula obtain the second state coefficient R S ; comprehensively analyze the average value of each data parameter and the maximum value in the time period, which can more accurately indicate the network communication status in this time period; it can be seen from the formula that when the value of the first state coefficient is larger, it means the better the network communication quality, and when the value of the second state coefficient is larger, it means the worse the network communication quality; finally, obtain the network state value R through the formula ; and the network communication quality is also related to the temperature of the environment where the optical fiber is located. Too high or too low temperature of the optical fiber may affect its transmission performance. When the optical fiber temperature exceeds the normal working range, such as higher than 80 °C or lower than -20 °C, it may cause an increase in the loss of the optical fiber, a change in the refractive index, etc., thereby affecting the transmission of the optical signal. Therefore, set an optimal temperature T0 according to experience, and acquire the average temperature T of the main line optical fiber in the time period Δt, so as to obtain the network state value R. It can be known that when the value of the network state value R is larger, it can indicate that the network communication quality is worse. Therefore, compare it with the network state judgment threshold R r formulated according to empirical data. When R > R rWhen it indicates that there is a communication anomaly in the main line network at this time, OLP switching needs to be performed and switched to the standby line to ensure the normal transmission of network communication. Through this method, based on multiple data parameter information generated during the operation of the main line, including positive gain parameters and negative gain parameters, and combined with the optical fiber temperature situation for comprehensive analysis, it is possible to more accurately determine whether there is an anomaly in the main line network communication, more comprehensively and accurately evaluate the operation of the main line network, avoid missed judgments, and thus effectively improve the reliability and stability of the optical communication network.

[0061] The working method of the analysis module further includes: when there is no communication anomaly in the main line, obtaining the magnitude of the network status value R within h Δt time periods, and formulating a curve function R(z) of the network status value varying with the number of time periods;

[0062] Through the formula calculate the potential anomaly risk value W of the main line;

[0063] When W > W r then it is also determined that there is a communication anomaly in the main line, and switching of the main line is performed;

[0064] wherein, W r is a preset judgment threshold, σ R is the fluctuation coefficient, x h is the last time period, R0(x) is the preset standard curve function of the network status value varying with the time period, maxR'(x) is the maximum network status value, and the fluctuation coefficient σ is obtained through the formula R and R τ is the magnitude of the network status value obtained in the τ-th Δt time period.

[0065] The above technical solution mainly provides a method for the analysis module to judge the potential network anomalies of the main line. Although there is no communication anomaly in the main line, if the network status values obtained in multiple time periods do not exceed the threshold but fluctuate near the threshold and show an upward trend, it can also indicate that there is an anomaly in network communication; therefore, when there is no communication anomaly in the main line, obtain the magnitude of the network status value R within h Δt time periods, and formulate a curve function R(x) of the network status value varying with the number of time periods. Through the formula calculate the potential anomaly risk value W of the main line. R0(x) is the preset standard curve function of the network status value varying with the time period, which is formulated based on historical data and empirical data under normal networks; the formula is the fluctuation coefficient, which indicates the fluctuation condition of the network status value in h time periods. The larger its value, the more unstable it is, indicating that the possibility of network communication anomalies is greater. The formula It represents the difference between the proposed network status value change and the standard change. The larger this value is, the greater the possibility of abnormal network communication. Therefore, the greater the abnormal risk value W is, the more obvious the potential network anomalies in the main line are. So, compare it with the judgment threshold W r set according to empirical data. When W > W r , it indicates that there are potential network anomalies in the main line. Then, it is also judged that there is communication abnormality in the main line, and the main line is switched. Through this method, the potential network anomalies in the main line can be judged based on the network status values in multiple time periods, so as to more deeply judge the network quality of the main line, and then switch the line in time to ensure the normal transmission of network communication.

[0066] The working method of the decision-making module is as follows: According to the network transmission requirements of the main line, set the optimal values of each data parameter and the weight ratios of each parameter Through the formula calculate the difference value XX of each standby line, and select the standby line with the smallest difference value for switching;

[0067] where gd is the number of failures occurred during the historical use of each standby line, U k is the k-th data parameter obtained by each standby line, c is the total number of data parameters obtained, and ΔU k is the comparison value of the k-th data parameter set;

[0068] The working method of the decision-making module also includes: When using the standby line, set a monitoring period ΔT, monitor the difference value situation of each standby line in real time, and formulate the difference value-time change curve function XX(T);

[0069] Through the formula calculate the difference value variation coefficient δ of each standby line;

[0070] Compare the difference value variation coefficient of the used standby line with that of the other unused standby lines:

[0071] If the difference value variation coefficient of the used line is the smallest, continue to use this standby line; otherwise, select the standby line with the smallest difference value variation coefficient for switching;

[0072] where maxXX is the maximum difference value within the monitoring period ΔT, minXX is the minimum difference value within 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 above technical solution provides a specific method for the decision-making module to select the optimal standby line for switching. Since there are multiple standby lines set, in order to ensure the quality of network communication, generally the optimal one is selected for switching during switching. Therefore, according to the actual network transmission requirements of the main line, the optimal values of various data parameters are set in advance. And the weight ratios of various parameters Then, obtain multiple data parameters corresponding to each standby line and the number of failures gd that occurred during the historical use of each standby line. Through the formula Obtain the difference values XX of each standby line, where ΔU k Is the comparison value of the kth data parameter set, which can be determined according to the historical data of each corresponding data parameter. It can be seen from the formula that the larger the value of the difference value XX, the worse the network transmission quality of the standby line. Therefore, in order to ensure the network quality during the transmission of the standby line, select the standby line with the smallest difference value for switching; similarly, during the transmission of the standby line, network anomalies may also occur. Therefore, when using the standby line, set a monitoring period ΔT to monitor the difference value conditions of each standby line in real time, and formulate a curve function XX(T) of the difference value changing with time, and through the formula Obtain the difference value change coefficient δ of each standby line. ΔXX is the set comparison value of the difference value, which can be determined according to the historical data of each corresponding data parameter. The formula Represents the difference between the maximum difference value and the minimum difference value within the monitoring period. The larger the difference, the more obvious the network fluctuation, while Represents the cumulative change of the difference value within the monitoring period. The larger the difference, the greater the change, indicating that the network quality is worse; therefore, after obtaining the difference value change coefficient δ of each standby line, compare the difference value change coefficient of the used standby line with the difference value change coefficients of other unused standby lines: If the difference value change coefficient of the used line is the smallest, continue to use this standby line, otherwise select the standby line with the smallest difference value change coefficient for switching. Through this method, when switching the standby line, multiple standby lines can be set, and the optimal standby line can be selected according to the difference value between the data parameters of each standby line and the required data parameters, which can further improve the stability of the network quality. Moreover, during the transmission of the standby line, the network quality of the standby line can be monitored in real time, and the standby line can be selected as the optimal line for automatic switching, which can ensure the quality of the entire communication network transmission.

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

[0075] It should be noted that, for the convenience of calculation and processing, the above calculation methods are all dimensionless calculations after processing, and the specific processing method of dimensionless is solved by the existing technology, so it will not be elaborated here.

[0076] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

Claims

1. A switching system based on OLP protection monitoring data analysis, characterized in that: The system comprises: A network communication module, the network communication module comprising a main line and at least two backup lines for network communication transmission; A monitoring module, the monitoring module is used to obtain data parameter information generated by the network communication module during operation; An analysis module, wherein the analysis module analyzes the acquired data parameter information to generate a network status value, and determines whether a communication abnormality occurs in the main line according to the network status value; The decision module selects the best backup line for switching when it is determined that a communication abnormality occurs in the main line.

2. A switching system based on OLP protection monitoring data analysis according to claim 1, characterized in that: The working method of the analysis module is: At every Δt time period, the positive gain data parameter and the negative gain parameter of the main line are continuously obtained, thereby generating the first state coefficient R respectively. F and the second state coefficient R S ; By formula Obtain the network status value R; When R>R r When , it is determined that a communication abnormality has occurred in the main line; Where T is the average temperature of the main line optical fiber in the Δt period, T0 is the optimal temperature of the main line optical fiber in the Δt period, R r It is the preset network status judgment threshold.

3. A switching system based on OLP protection monitoring data analysis according to claim 2, characterized in that: The first state coefficient R F The acquisition method is: Get multiple positive gain data parameters in the Δt time period, and use the formula The first state coefficient R is obtained F ; Where, m is the total number of positive gain data obtained, is the average value of the i-th positive gain data in the Δt time period, maxE i is the maximum value of the i-th positive gain data in the Δt time period, is the maximum duration of the i-th positive gain data in the Δt time period, and i∈[1,m].

4. The switching system based on OLP protection monitoring data analysis according to claim 2 is characterized in that: The second state coefficient R S The acquisition method is: Get multiple negative gain data parameters in the Δt time period, and use the formula The second state coefficient R S ; Where n is the total number of negative gain data obtained, 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 duration of the jth negative gain data within the Δt time period, and j∈[1,n].

5. The switching system based on OLP protection monitoring data analysis according to claim 2 is characterized in that: The working method of the decision module is: According to the network transmission requirements of the main line, set the optimal value of each data parameter And the weight ratio of each parameter By formula Obtain the difference value XX of each backup line, and select the backup line with the smallest difference value for switching; Among them, gd is the number of failures that occurred in each backup line during its historical use, U k is the kth data parameter obtained for each backup line, c is the total number of data parameters obtained, ΔU k is the comparison value of the kth data parameter set.

6. A switching system based on OLP protection monitoring data analysis according to claim 5, characterized in that: The working method of the decision module also includes: When the backup line is in use, a monitoring period ΔT is set to monitor the difference value of each backup line in real time, and a curve function XX(T) of the difference value changing with time is formulated; By formula Obtain the coefficient of variation δ of the difference value of each backup line; Compare the coefficient of variation of the difference value of the used backup line with the coefficient of variation of the difference value of other backup lines that are not used: If the difference value variation coefficient of the used line is the smallest, then continue to use the backup line; otherwise, select the backup line with the smallest difference value variation coefficient for switching; Wherein, maxXX is the maximum difference value within the monitoring period ΔT, minXX is the minimum difference value within 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.

7. A switching system based on OLP protection monitoring data analysis according to claim 6, characterized in that: The analysis module working method also includes: When there is no communication anomaly on the main line, obtain the size of the network state value R in h Δt time periods, and formulate a curve function R(x) of the network state value changing with the number of time periods; By formula Calculate the potential abnormal risk value W of the main line; When W>W r When the main line is abnormal, it is judged that the main line has communication abnormality and the main line is switched; Among them, W r is the preset judgment threshold, σ R is the volatility coefficient, x h is the last time period, R0(x) is the preset standard curve function of the network status value changing with the time period, and maxR'(x) is the maximum network status value.

8. The switching system based on OLP protection monitoring data analysis according to claim 7, characterized in that: The fluctuation coefficient σ R The acquisition method is: By formula The volatility coefficient σ R , R τ is the network status value obtained in the τth Δt time period.

9. A switching method based on OLP protection monitoring data analysis, characterized in that: The switching method is implemented by controlling the switching system based on OLP protection monitoring data analysis as described in any one of claims 1 to 8.

Images