CN115776623A - Physical same-route detection method and device for optical transport network - Google Patents

Abstract

The invention discloses a method and a device for detecting physical same route of an optical transport network, which are used for solving the problem of low efficiency of detecting the physical same route in the optical transport network. This scheme includes: respectively acquiring characteristic data of at least two light paths to be detected; determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected; determining the similarity between at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected; and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route. According to the scheme of the embodiment of the invention, the performance of each optical path is represented by the characteristic vector, and whether the optical paths contain the same physical route or not is detected and detected by comparing the vector similarity, so that automatic and efficient detection can be realized, and the communication fault of the optical transport network can be checked in time.

Description

Physical same-route detection method and device for optical transport network

Technical Field

The present invention relates to the field of communications, and in particular, to a method and an apparatus for detecting a physical same route in an optical transport network.

Background

In the field of communications technologies, an Optical Transport Network (OTN) is a type of communications network, and specifically, refers to a transport network that implements transmission, multiplexing, routing, and monitoring of service signals in an optical domain, and ensures performance indexes and survivability thereof. In practical application, communication equipment may malfunction due to huge transmission network, complex networking and multiple services, thereby causing service interruption.

There are many kinds of failures that cause communication equipment, among which failures caused by physical co-routing of optical cables are large. The physical same route mainly refers to that a working path for carrying service of a transmission network and a protection route pass through the same physical optical cable on the ring. Because the optical cable is a passive dumb network element and cannot report the state autonomously, the optical paths containing the same physical route are difficult to find. In the prior art, technicians are often required to judge whether the optical paths include the physical co-route according to experience, or determine that the cause of the failure is the physical co-route after the failure has occurred.

How to efficiently detect the physical same route in the optical transport network is a technical problem to be solved by the application.

Disclosure of Invention

The embodiment of the application aims to provide a method and a device for detecting physical same route of an optical transport network, which are used for solving the problem of low physical same route efficiency in the optical transport network.

In a first aspect, a method for detecting a physical co-route of an optical transport network is provided, including:

respectively acquiring characteristic data of at least two optical paths to be detected, wherein the characteristic data comprises a plurality of characteristic values, and the characteristic values represent the performance of transmitting optical signals of the optical paths to be detected;

determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected;

determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected;

and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route.

In a second aspect, an apparatus for detecting physical co-route of an optical transport network is provided, including:

the device comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for respectively acquiring characteristic data of at least two optical paths to be detected, the characteristic data comprises a plurality of characteristic values, and the characteristic values are used for characterizing the performance of optical signals transmitted by the optical paths to be detected;

the first determining module is used for determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected;

the second determining module is used for determining the similarity between the at least two optical paths to be detected according to the characteristic vectors of the at least two optical paths to be detected;

and the third determining module is used for determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the same physical route.

In a third aspect, an electronic device is provided, the electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, realizes the steps of the method as in the first aspect.

In the embodiment of the application, the characteristic data of at least two optical paths to be detected are respectively obtained, wherein the characteristic data comprise a plurality of characteristic values, and the characteristic values represent the performance of transmitting optical signals of the optical paths to be detected; determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected; determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected; and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route. According to the scheme of the embodiment of the invention, the performance of each optical path is represented by the characteristic vector, and whether the optical paths contain the physical same route or not is detected by comparing the vector similarity, so that automatic and efficient detection can be realized, and the communication fault of the optical transport network can be checked in time.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a flowchart illustrating a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 2 is a second flowchart of a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 3a is a third flowchart illustrating a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 3b is a fourth flowchart illustrating a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 3c is a fifth flowchart illustrating a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 4 is a sixth flowchart illustrating a method for detecting a physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 5a is a seventh schematic flowchart of a physical co-route detection method of an optical transport network according to an embodiment of the present invention.

Fig. 5b is an eighth schematic flowchart of a method for detecting physical co-route in an optical transport network according to an embodiment of the present invention.

Fig. 6 is a schematic structural diagram of a physical co-route detection apparatus of an optical transport network according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The reference numbers in the present application are only used for distinguishing the steps in the scheme and are not used for limiting the execution sequence of the steps, and the specific execution sequence is described in the specification.

In the technical field of communication, analysis and judgment of transmission same route can be carried out through a topological structure of a network management system. The method firstly analyzes each network element on the active/standby transmission protection sub-network between the network elements and judges whether the same routing condition exists. Then, according to the association between the network management alarm and the same route, the network management alarm is associated to the affected light path, and the resource information of the interrupted pipeline is positioned by combining with the resource system. And then, associating the logical structure of the transmission optical cable system with the actual optical cable routing resource information, unifying the logical routing and the physical routing of the transmission optical cable system, and positioning the physical routing optical cable section according to the input transmission subnet section.

The method depends on the experience of maintenance personnel and the accuracy of data, and when the method is used, a network management system can only see the logical connection relation between sites, and whether the same route exists on physical connection or not and whether the ring is reasonable or not can not be judged. Therefore, the method is mainly used for judging the same logic route and cannot accurately detect the condition of the same physical route.

Besides the intuitive check and analysis through the network management system, the switching test or manual check can be actively carried out to try to find out the condition of the same logic route or the same physical route. For example, a network-level switching test is performed by turning off the laser, and a network element-level switching test is performed by the reset single board to find whether a logically identical route exists.

The method is mainly used for carrying out same-route checking on the basis of data of a resource management system and a Geographic Information System (GIS) map. The connection information of the transmission networking topology is associated with the optical path by using the data of the resource management system and the GIS map, the optical path route is associated with the office-oriented optical fiber, the office-oriented optical fiber is associated with the fiber core, and the transmission physical route is visually presented by the GIS map. The method can show the optical cable same-route section, but the method has higher requirements on the accuracy of the data management and the timeliness of the data updating. In the existing network, because the optical fiber belongs to the dummy resource, the accuracy of the optical fiber data of the resource management system is not enough, and the accurate detection is difficult to realize.

In addition, maintenance personnel can manually inquire and analyze the same route of the optical cable by combining design data, cross-dimension data and basic data. The basic data and the information such as the office direction, the system name and the like in the panel data in the method have timeliness, and real-time updating is difficult to achieve, so that the difference between the accuracy of the data and the accuracy of the existing network is large, and the optical path of the same route is difficult to detect efficiently and accurately.

Moreover, in the process of checking the same route, the method needs to comprehensively arrange multiple professional data, consumes a large amount of manpower and material resources and has poor operability. Moreover, the method depends on the experience of maintenance personnel, misjudgment and misjudgment occur from doctors, the accuracy is poor, and the popularization is difficult.

In order to solve the problems in the prior art, an embodiment of the present application provides a method for detecting a physical same route of an optical transport network, as shown in fig. 1, including:

s11: respectively acquiring characteristic data of at least two optical paths to be detected, wherein the characteristic data comprises a plurality of characteristic values, and the characteristic values represent the performance of transmitting optical signals of the optical paths to be detected.

The optical path refers to a light propagation path, and includes a route after refraction and reflection in light propagation. In the operation of optical fiber networks of telecommunication operators, resource objects which are directly accessible by optical signals composed of interconnected (including splicing, jumping and the like) fiber cores are generally called optical paths.

Optionally, the feature data includes a plurality of feature values of: the distance value of the optical path, the distance value between the two points and the front point, the loss values of the two points, the accumulated loss value, the maximum joint loss value and the attenuation coefficient values of the two points.

The characteristic values in the characteristic data can represent the performance of optical signal transmission of the optical path from multiple aspects, the characteristic values of each optical path to be detected can be acquired through an OTDR (optical time-domain reflectometer), and the optical time-domain reflectometer can be used for detecting the characteristic values of the optical fiber and representing the performances of uniformity, defects, breakage, joint coupling and the like of the optical fiber. The optical fiber attenuation device is manufactured according to the principle of backward scattering of light and the Fresnel backward principle, and obtains attenuation information by utilizing backward scattering light generated when light propagates in the optical fiber.

Wherein, the fresnel reflection means that when light is transmitted from one medium (optical fiber) to another medium (air), the light is reflected back along the original medium (optical fiber). The rayleigh scattering is an inherent loss of the optical fiber, and refers to a phenomenon that when light waves are transmitted through the optical fiber, the light waves encounter particles smaller than the wavelength of the light waves and are scattered to the periphery, so that the light power is reduced. Rayleigh scattered light is characterized by: the wavelength is the same as the wavelength of the incident light wave, and the optical power is proportional to the incident light power at that point. OTDR mainly uses rayleigh scattering to characterize optical paths.

In practical applications, the optical path test using OTDR generally includes: automatic testing, blind zone testing, average testing, real-time testing, and the like. In the test, multiple parameters such as 'range', 'pulse width', 'attenuation' and the like can be set, and the measured characteristic values can be optimized in an 'average test' mode to improve the measurement accuracy, for example, the characteristic values obtained by 5-10 times of tests can be averaged to determine the acquired characteristic values. In addition, parameters such as test items and test wavelengths can be set to obtain required characteristic values.

S12: and determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected.

In this step, the feature vector of each optical path is determined based on the measured feature data of each optical path. And all the characteristic values in the characteristic data are respectively used as the component vectors of the characteristic vector in all the coordinate directions. For example, the optical path distance of a certain optical path A is 0.325km, the distance from the front point is 0.321km, the loss of the two points is 0.324dB, the cumulative loss is 0.325dB, the maximum joint loss is 0.325dB, and the attenuation coefficient of the two points is 0.13dB/km. Then, the coordinates of the eigenvector of this optical path a are (0.325, 0.321,0.324,0.325, 0.13). And all numerical values in the coordinates correspond to all characteristic values in the characteristic data one to one.

S13: and determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected.

In this step, the similarity between each two of the eigenvectors of the at least two optical paths to be detected may be determined. And comparing the similarity of every two characteristic vectors of each light path to be detected to determine the similarity of every two characteristic vectors of each light path to be detected. Specifically, the similarity between each two of the light paths to be detected can be determined according to various numerical values in the coordinates of the feature vectors.

In a high-dimensional space, the distance between the vectors can represent the similarity of the vectors, and the closer the distance between the vectors is, the higher the similarity of the two vectors is, and the stronger the correlation is.

To calculate the similarity between the two vectors, algorithms such as Pearson correlation coefficient, euclidean distance, manhattan distance, chebyshev distance, and cosine distance of included angle can be selected for calculation. For convenience of explaining the method, the present proposal shows a calculation method between two vectors by a simplest euclidean distance calculation formula, where a smaller euclidean distance indicates a greater similarity between the two feature vectors, and the euclidean distance calculation formula is the following formula (1-1):

according to the formula (1-1), subtracting the corresponding characteristic values of the two vectors, summing the squares, and then squaring to calculate the Euclidean distance between the characteristic vectors of the two optical paths.

In addition, based on the scheme provided by the above embodiment, optionally, the similarity may also be determined based on the euclidean distance. Euclidean Distance (Euclidean Distance) can be used to determine the Distance between two vectors, ranging from 0 to positive infinity. The smaller the distance between two vectors, the more similar the two vectors are.

The calculation formula of the euclidean distance is the following formula (1-2):

in addition, the similarity may also be determined based on the pearson correlation coefficient. Pearson Correlation (Pearson Correlation) is one way to measure vector similarity. The output range is-1 to +1, where 0 represents no correlation, negative values represent negative correlations, and positive values represent positive correlations. The Pearson correlation coefficient is optimized on the Euclidean distance, the value of the vector is centered, and the Pearson correlation coefficient is calculated according to the following formula (1-3):

s14: and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route.

Taking the euclidean distance as an example, a smaller euclidean distance indicates a closer distance between two eigenvectors in the high dimensional space, i.e., indicates a higher similarity between the two eigenvectors. Generally, two optical paths smaller than 0.01 are determined to be optical paths including physical same routes, and specifically, one or more of the situations of common cables, common pipelines, common rod lines, common direct burial, common man-hole wells and the like may exist, so that important investigation and rectification are required, and the stability of optical path communication is guaranteed.

It should be noted that the multiple optical paths to be detected with the similarity greater than the first preset similarity may include different physically identical routes. For example, if the similarity between the optical path a and the optical path B is greater than the first preset similarity, and the similarity between the optical path B and the optical path C is also greater than the first preset similarity, it is indicated that the optical path a and the optical path B, and the optical path B and the optical path C include optical paths with the same physical route. However, the optical paths a and B may contain physically identical routes different from those of the optical paths B and C. That is, when the optical path a and the optical path B include the physical identical route and the optical path B and the optical path C include the physical identical route, whether the optical path a and the optical path C include the physical identical route or not needs to be determined according to the similarity of the feature vectors corresponding to the optical path a and the optical path C.

In the scheme, the similarity of the high-dimensional feature vectors depends on the distance of the high-dimensional feature vectors in the high-dimensional space, and the closer the distance is, the more similar the description is, and the more relevant the description is. For the transmission optical path, if the same route, the same pipeline, or even the same cable is taken, the attenuation distribution of the optical power over the distance, the probability of the encountered event, or even the characteristic vector formed by the light scattering intensity, the dispersion, etc., will be more concentrated in the distribution over the high-dimensional space, so the distance between the characteristic vectors will be significantly closer than that of other vectors. Therefore, the optical paths containing the physical same route can be accurately and quickly detected through the scheme provided by the embodiment of the application.

Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 2, before the foregoing step S12, the method further includes:

s21: and performing cleaning on the characteristic data of the at least two light paths to be detected, wherein the cleaning comprises dimension reduction cleaning for reducing the dimension of the characteristic data.

The method is used for optimizing the characteristic data of each light path to be detected so as to improve the accuracy of characterizing the characteristic vector of each light path to be detected. Optionally, a Pearson correlation coefficient (Pearson correlation) method is used to perform dimension reduction cleaning and simplification on the optical path characteristic data. Specifically, a Pearson correlation coefficient (Pearson correlation) method is used to analyze the correlation between each feature value of the feature data. According to the analysis result, if a plurality of characteristic values with the correlation larger than the preset correlation (for example, 0.8) exist, screening can be performed according to important indexes concerned in daily maintenance, and one characteristic value is reserved from the plurality of characteristic values with high correlation, so that the processing performance consumed by subsequently determining the characteristic vector is reduced.

For example, the characteristic data of each cleaned optical path to be detected includes 6 characteristic values of the optical path distance, the distance from the front point, the loss of the two points, the accumulated loss, the maximum joint loss and the attenuation coefficient of the two points. In addition, other types of cleansing may be performed in addition to the dimension reduction cleansing to optimize the feature data.

S22: and normalizing the characteristic data of the at least two cleaned optical paths to be detected.

In order to standardize the samples and unify the measurement units of the samples, the calculation of the next vector distance is more accurate, and the normalization processing is carried out on the 6 characteristic data in the step.

Specifically, the normalization may be performed by a linear function conversion, a logarithmic function conversion, an inverse cotangent function conversion, or the like. In this embodiment, a linear function conversion method is adopted, and normalization is performed on each feature value in the feature data by the following expression (2-1), so that each feature value is between 0 and 1:

y＝(x-MinValue)/(MaxValue-MinValue) (2-1)

wherein, the step S12 includes:

s23: and determining the characteristic vector corresponding to each light path to be detected according to the normalized characteristic data of the at least two light paths to be detected.

In the scheme provided by the embodiment of the application, the feature data can be effectively optimized through cleaning and normalization, so that the feature vectors generated subsequently are optimized, and the accuracy of detecting the physical same route is improved. In addition, the feature data obtained by the embodiment is simplified, so that the processing performance consumed by generating the feature vector can be effectively reduced, and the detection efficiency is improved.

Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 3a, if the number of optical paths including the physical same route is multiple, after step S14, the method further includes:

s31: respectively acquiring characteristic data of a plurality of sections of sub-optical paths to be detected if a first target optical path comprises a plurality of sections of first sub-optical paths separated by preset connection points and a second target optical path comprises a plurality of sections of second sub-optical paths separated by the preset connection points, wherein the plurality of sections of sub-optical paths to be detected comprise the plurality of sections of first sub-optical paths and the plurality of sections of second sub-optical paths, and the first target optical path and the second target optical path are optical paths containing physical same routes;

s32: respectively determining the characteristic vector corresponding to each section of sub-optical path to be detected according to the characteristic data of the plurality of sections of sub-optical paths to be detected;

s33: determining the similarity between the sub-optical paths to be detected according to the characteristic vectors corresponding to the sub-optical paths to be detected;

s34: and determining the sub-optical paths to be detected with the similarity larger than the second preset similarity as the optical paths containing the physical same route.

In this embodiment, if the number of optical paths including the physical same route is multiple and there is at least one target optical path with a connection point preset in the middle, it indicates that the entry target optical path has multiple sub-optical paths. The detection range can be further narrowed down through the embodiment, so that the optical path segments containing the physical same route are more accurately positioned, and the schematic flow diagram is shown in fig. 3 b.

In practical applications, the geographical distance of the transmission link is often long, and may reach tens of kilometers, or even hundreds of kilometers. In order to improve the detection accuracy, it is determined which optical path includes the physical identical route by the scheme of the present embodiment.

In the embodiment of the present application, for a first target optical path and a second target optical path whose similarity is greater than a first preset similarity, feature data of multiple sub-optical paths included in the target optical path are respectively obtained. For example, a connection point B is arranged between the location a and the location C, and if it is detected that the first target optical path and the second target optical path of the location a-C segment have the same physical route, the detection can be further performed on the a-B segment and the B-C segment with respect to the first target optical path and the second target optical path. Specifically, the distance between the characteristic vector of the first sub-optical path of the section A-B and the characteristic vector of the second sub-optical path is determined, the distance between the characteristic vector of the first sub-optical path of the section B-C and the characteristic vector of the second sub-optical path is determined, the smaller the distance of the characteristic vectors is, the greater the similarity of the corresponding sections is, and then the sections with the similarity greater than the second preset similarity are determined as optical paths containing physical same routes. The scheme provided by the embodiment can more accurately position the physical same routing paragraph, thereby reducing the investigation range and improving the working efficiency.

Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 3c, if the number of optical paths including the physical same route is multiple, after step S14, the method further includes:

s35: respectively acquiring characteristic data of a plurality of sections of optical paths to be detected if a first target optical path comprises at least two sections of first sub optical paths separated by a preset connection point, wherein the plurality of sections of optical paths to be detected comprise the at least two sections of first sub optical paths and a second target optical path, and the first target optical path and the second target optical path are optical paths containing physical identical routes;

s36: respectively determining a characteristic vector corresponding to each section of light path to be detected according to the characteristic data of the plurality of sections of light paths to be detected;

s36: determining the similarity between the sections of light paths to be detected according to the characteristic vectors corresponding to the sections of light paths to be detected;

s38: and determining the optical path to be detected with the similarity larger than the second preset similarity as the optical path containing the physical same route.

In this embodiment, if the number of optical paths including the physical same route is multiple, and a connection point is preset in the middle of the first target optical path, it indicates that the first target optical path has multiple sub-optical paths. If there is no preset connection point in the middle of the second target optical path, or it cannot be clearly known whether there is a preset connection point in the middle of the second target optical path, the similarity between each section of the first sub optical path and the second target optical path may be compared through the scheme provided in this embodiment.

For example, the first target optical path is disposed between location a and location C with a connection point B in between. And under the condition that the first target optical path and the second target optical path comprise the same physical route, further dividing the first target optical path into two first sub-optical paths of A-B and B-C. And then respectively determining the eigenvectors corresponding to the two sections of the first sub-optical paths A-B and B-C. And then, determining the similarity between the characteristic vector of the section of the first sub-optical path from A to B and the characteristic vector corresponding to the second target optical path, and determining the similarity between the characteristic vector of the section of the first sub-optical path from B to C and the characteristic vector corresponding to the second target optical path. And determining the light path to be detected with the similarity larger than the second preset similarity as the light path containing the physical same route. The scheme provided by the embodiment can more accurately position the physical same routing paragraph, thereby reducing the investigation range and improving the working efficiency.

It should be noted that the first preset similarity and the second preset similarity may be preset according to a requirement, and the first preset similarity and the second preset similarity may be different.

Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 4, the foregoing step S14 includes:

s41: sorting the similarity according to the sequence from big to small;

s42: and determining the light paths to be detected corresponding to the similarity of the front preset number greater than the first preset similarity in the sequencing result as light paths containing the same physical route.

In practical application, if the number of the optical paths to be detected which are larger than the first preset similarity is too many, the workload of checking the physical same route is large. In order to ensure the stability of communication transmission, the scheme provided by this embodiment orders the similarities in descending order, and determines a preset number of optical paths to be detected with large similarities as optical paths including the same physical route. Therefore, under the condition that the number of the optical paths containing the same physical route is large, the optical paths with the highest similarity can be preferentially checked, the communication stability is further improved, and the checking complexity is reduced.

Based on the solution provided by the foregoing embodiment, optionally, as shown in fig. 5a, before step S11, the method further includes:

s51: determining whether the at least two optical paths to be detected are optical paths containing the same logic route;

s52: and if the at least two optical paths to be detected are not optical paths containing the same logic route, respectively acquiring the characteristic data of the at least two optical paths to be detected.

In a transmission network, the hidden trouble of the same route specifically includes a logical same route and a physical same route. The solution provided by the foregoing embodiment is directed to detecting an optical path including a physical same route, and in order to further ensure stability of optical path communication, before the solution provided by the foregoing embodiment is executed, a problem of whether at least two optical paths to be detected include a logical same route may be detected. The judgment accuracy of the physical same-route can be improved by judging the logical same-route in advance, and the detection result that the logical same-route interferes with the physical same-route can be effectively avoided.

The logical same route mainly refers to a working path for transmitting network bearing service and a protection route passing through the same logic link paragraph on the ring. The physical same route mainly refers to that a working path for carrying service of a transmission network and a protection route pass through the same physical optical cables on the ring. Specifically, in the aspect of logical same-route checking, checking can be realized by manually checking data of the resource management and the network management for comparison and analysis.

In the solution provided in this embodiment, as shown in fig. 5b, it is first directly determined through a resource management system and a network management system whether each optical path to be detected includes a same logical route, and if two optical paths pass through the same tunnel segment, the same device, and the same board, it is determined that the two optical paths have the same logical route, and personnel can be arranged to modify the two optical paths in time. On the premise that no logical identical route exists, whether each optical path to be detected comprises a physical identical route or not can be judged through any of the embodiments of the present application.

Optionally, if the similarity of each pair of optical path vectors is calculated, the calculation amount increases exponentially with the increase of the number of rows of optical path data, and the calculation of a large amount of data cannot be realized by using a simple tool. Therefore, the Orange3 data mining software can be applied in practical application, the cleaning and sorting of the original data can be efficiently completed, and the distance between the vectors can be efficiently calculated. Furthermore, light path characteristic vectors with high similarity can be found out through two methods of distance maps and hierarchical clustering.

On the distance map, each color block corresponds to the distance calculation result of two light path characteristic vectors. In particular, each patch may indicate the distance of two feature vectors by a luminance value, a color value, or other attribute value. For example, higher brightness indicates higher similarity of vectors of two corresponding optical paths. Through the scheme that this application embodiment provided, can high-efficiently confirm through the distance map from the nearest highlight colour chip of diagonal, and then confirm that two that the correlation is high contain physics with the light path of route, be convenient for look over directly perceived physics with route light path, make things convenient for the maintainer to overhaul.

The scheme provided by the embodiment of the application is directed at detecting the optical paths including the physical same route, and in practical application, the scheme can also be used for carrying out shared detection on dummy resources except for the optical fiber. The scheme provided by the embodiment carries out preprocessing such as cleaning on the data acquired by the OTDR, effectively improves the processing performance, and improves the detection accuracy and instantaneity.

In addition, according to the scheme provided by the embodiment of the application, after the optical path containing the physical same route is determined, the detection range is narrowed aiming at the sub-optical paths in the optical path, so that the physical same route section can be more accurately positioned, the detection accuracy is effectively improved, and the difficulty of manual maintenance is reduced.

In addition, the scheme provided by the embodiment of the application can realize detection before the communication fault is caused by the physical same route, and effectively detect the communication fault in a large area, so that the probability of the communication fault is reduced, and the fault complaint probability is reduced.

The scheme provided by the embodiment effectively reduces the manpower consumption, determines the optical path containing the physical same route through each characteristic value of the optical path, and can realize automatic detection.

In order to solve the problems existing in the prior art, an embodiment of the present application further provides an apparatus 60 for detecting a physical same route of an optical transport network, as shown in fig. 6, including:

the acquisition module 61 is configured to acquire characteristic data of at least two optical paths to be detected, where the characteristic data includes multiple characteristic values, and the characteristic values represent performance of optical signals transmitted by the optical paths to be detected;

the first determining module 62 determines, according to the characteristic data of the at least two light paths to be detected, a characteristic vector corresponding to each light path to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected;

the second determining module 63 determines the similarity between the at least two light paths to be detected according to the feature vectors of the at least two light paths to be detected;

the third determining module 64 determines the to-be-detected optical path with the similarity greater than the first preset similarity as an optical path including the same physical route.

The device provided by the embodiment of the application obtains the characteristic data of at least two optical paths to be detected respectively, wherein the characteristic data comprises a plurality of characteristic values, and the characteristic values represent the performance of the optical signals transmitted by the optical paths to be detected; determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected; determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected; and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route. According to the scheme of the embodiment of the invention, the performance of each optical path is represented by the characteristic vector, and whether the optical paths contain the physical same route or not is detected by comparing the vector similarity, so that automatic and efficient detection can be realized, and the communication fault of the optical transport network can be checked in time.

Preferably, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and capable of running on the processor, where the computer program, when executed by the processor, implements each process of the foregoing method for detecting a physical same route of an optical transport network, and can achieve the same technical effect, and details are not repeated here to avoid repetition.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned embodiment of the method for detecting physical same route of an optical transport network, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.

Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (11)

1. A method for detecting physical same route of optical transport network is characterized by comprising the following steps:

respectively acquiring characteristic data of at least two optical paths to be detected, wherein the characteristic data comprises a plurality of characteristic values, and the characteristic values represent the performance of transmitting optical signals of the optical paths to be detected;

determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected;

determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected;

and determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the physical same route.

2. The method according to claim 1, wherein before determining the feature vector corresponding to each of the at least two optical paths to be detected according to the feature data of the at least two optical paths to be detected, the method further comprises:

cleaning the characteristic data of the at least two light paths to be detected, wherein the cleaning comprises dimension reduction cleaning for reducing the dimension of the characteristic data;

normalizing the characteristic data of the at least two cleaned light paths to be detected;

determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, including:

and determining the characteristic vector corresponding to each light path to be detected according to the normalized characteristic data of the at least two light paths to be detected.

3. The method according to claim 1, wherein if there are a plurality of optical paths including the same physical route, after determining the optical path to be detected having a similarity greater than a first preset similarity as the optical path including the same physical route, the method further comprises:

respectively acquiring characteristic data of a plurality of sections of sub-optical paths to be detected if a first target optical path comprises at least two sections of first sub-optical paths separated by a preset connection point and a second target optical path comprises at least two sections of second sub-optical paths separated by the preset connection point, wherein the plurality of sections of sub-optical paths to be detected comprise the at least two sections of first sub-optical paths and the at least two sections of second sub-optical paths, and the first target optical path and the second target optical path are optical paths containing physical same routes;

respectively determining a characteristic vector corresponding to each section of sub-optical path to be detected according to the characteristic data of the plurality of sections of sub-optical paths to be detected;

determining the similarity between the sub-optical paths to be detected according to the characteristic vectors corresponding to the sub-optical paths to be detected;

and determining the sub-optical path to be detected with the similarity larger than the second preset similarity as the optical path containing the physical same route.

4. The method according to claim 1, wherein if there are a plurality of optical paths including the same physical route, after determining the optical path to be detected having a similarity greater than a first preset similarity as the optical path including the same physical route, the method further comprises:

respectively acquiring characteristic data of a plurality of sections of optical paths to be detected if a first target optical path comprises at least two sections of first sub optical paths separated by a preset connection point, wherein the plurality of sections of optical paths to be detected comprise the at least two sections of first sub optical paths and a second target optical path, and the first target optical path and the second target optical path are optical paths containing physical identical routes;

respectively determining a characteristic vector corresponding to each section of the light path to be detected according to the characteristic data of the plurality of sections of the light path to be detected;

determining the similarity between the sections of light paths to be detected according to the characteristic vectors corresponding to the sections of light paths to be detected;

and determining the light path to be detected with the similarity larger than the second preset similarity as a light path containing the physical same route.

5. The method of claim 1, wherein determining the optical path to be detected with the similarity greater than a first preset similarity as an optical path including a physically identical route comprises:

sorting the similarity according to the sequence from big to small;

and determining the light paths to be detected corresponding to the similarity of the front preset number greater than the first preset similarity in the sequencing result as light paths containing the same physical route.

6. The method according to claim 1, before respectively acquiring the characteristic data of at least two optical paths to be detected, further comprising:

determining whether the at least two optical paths to be detected are optical paths containing the same logic route;

and if the at least two optical paths to be detected do not comprise the optical paths with the same logic route, respectively acquiring the characteristic data of the at least two optical paths to be detected.

7. The method according to any one of claims 1 to 6, wherein determining the similarity between the plurality of light paths to be detected according to the eigenvectors of the at least two light paths to be detected comprises:

determining the similarity between the at least two light paths to be detected according to at least one of the following parameters of the characteristic vectors of the at least two light paths to be detected:

pearson correlation coefficient, euclidean distance, manhattan distance, chebyshev distance and included angle cosine distance.

8. The method of any one of claims 1 to 6, wherein the feature data comprises a plurality of the following feature values: the distance value of the optical path, the distance value between the two points and the front point, the loss values of the two points, the accumulated loss value, the maximum joint loss value and the attenuation coefficient values of the two points.

9. An optical transport network physical co-route detection device, comprising:

the acquisition module is used for respectively acquiring characteristic data of at least two optical paths to be detected, wherein the characteristic data comprises a plurality of characteristic values, and the characteristic values represent the performance of optical signals transmitted by the optical paths to be detected;

the first determining module is used for determining a characteristic vector corresponding to each light path to be detected according to the characteristic data of the at least two light paths to be detected, wherein each component of the characteristic vector of the target light path to be detected corresponds to a plurality of characteristic values in the characteristic data of the target light path to be detected;

the second determining module is used for determining the similarity between the at least two light paths to be detected according to the characteristic vectors of the at least two light paths to be detected;

and the third determining module is used for determining the optical path to be detected with the similarity larger than the first preset similarity as the optical path containing the same physical route.

10. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.

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