Status detection method and system for OPGW optical cable

Abstract

The invention provides a state detection method and system for an OPGW optical cable, and relates to the field of OPGW optical cables. The method comprises: obtaining a test state data set corresponding to different test environments for testing an OPGW optical cable through finite element analysis; determining key state factors and key environmental factors corresponding to different optical cable states according to the test state data set corresponding to different test environments for testing the OPGW optical cable through a genetic algorithm and a variational mode decomposition algorithm; establishing a state detection model according to the key state factors and key environmental factors corresponding to different optical cable states; obtaining a state data set and an environmental data set of the current OPGW optical cable; extracting a state feature set from the state data set and the environmental data set of the current OPGW optical cable according to the key state factors and key environmental factors corresponding to different optical cable states; and determining the real-time state of the current OPGW optical cable according to the state feature set through the state detection model, which has the advantage of improving the accuracy of state detection of the OPGW optical cable.

Description

Technical Field

[0001] The present invention relates to the field of OPGW optical cables, and in particular to a state detection method and system for OPGW optical cables. Background Art

[0002] OPGW optical cable (Optical Fiber Composite Overhead Ground Wire, OPGW) is also called optical fiber composite overhead ground wire. The optical fiber is placed in the ground wire of the overhead high-voltage transmission line to form a power optical fiber communication network. This structural form has both ground wire and communication functions. OPGW optical cable is laid along with high-voltage transmission lines and is exposed to the outdoor environment for a long time. It is easily affected by complex weather such as wind, rain, thunder, and snow, and abnormal conditions such as wind dance, lightning strikes, ice covering, and arc sag may occur. Abnormal conditions are fatal to OPGW optical cables that have been installed for a long time and have been in harsh environments for a long time, and greatly affect the service life and safe operation of the optical cables. Therefore, full-state detection and analysis of OPGW optical cables is of great significance to ensure the safe and reliable operation of the power optical fiber communication network. At present, OPGW optical cable online detection equipment mainly includes Φ-OTDR (Phase-Sensitive Optical Time Domain Reflectometer) based on Rayleigh scattering, which is used to detect optical fiber vibration signals; Brillouin Optical Time Domain Reflectometer (B-OTDR) and Brillouin Optical Time Domain Analyzer (Brillouin Optical Time Domain Analyzer) based on Brillouin scattering, which are used to detect optical fiber temperature and stress signals; multi-parameter sensing OTDR, which can simultaneously detect temperature, strain and vibration signals.

[0003] In the prior art, the OPGW optical cable status identification method mainly includes: dancing detection based on vibration signals. If the amplitude of the detected vibration signal is less than 2 to 3 times the diameter of the OPGW optical cable and the frequency is between 3 and 120 Hz, it is judged as breeze vibration. If the amplitude of the detected vibration signal is 5 to 300 times the diameter of the OPGW optical cable and the frequency is between 0.1 and 3 Hz, it is judged as dancing. Ice detection of OPGW optical cables based on temperature or stress changes. If the detected temperature change or stress change is large, it is judged as lightning strike or ice state. If the strain change is large, it is judged as ice, wind dance or sag state. Although the above method can effectively detect the temperature, strain and vibration parameters of the optical fiber and realize data abnormality identification, it lacks intelligent analysis methods and cannot accurately identify the specific status of the OPGW optical cable. At the same time, abnormal conditions such as wind dance, lightning strike, icing, sag, etc. will cause complex changes in temperature, strain and vibration signals. For example, when wind dance occurs, both vibration and strain signals will change; when icing occurs, both optical fiber strain and temperature signals will change. A single signal change is not sufficient to accurately determine the abnormal state of the optical fiber.

[0004] Therefore, it is necessary to provide a state detection method and system for an OPGW optical cable, so as to improve the accuracy of the state detection of the OPGW optical cable. Summary of the invention

[0005] The present invention provides a state detection method for an OPGW optical cable, comprising: obtaining a test state data set corresponding to different test environments for testing the OPGW optical cable through finite element analysis, wherein the test state data set includes the attenuation coefficient, vibration, strain and temperature of the OPGW optical cable at multiple continuous test time points; determining key state factors and key environmental factors corresponding to different optical cable states according to the test state data set corresponding to different test environments for testing the OPGW optical cable through a genetic algorithm and a variational mode decomposition algorithm; establishing a state detection model according to the key state factors and key environmental factors corresponding to different optical cable states; obtaining the state data of the current OPGW optical cable The invention relates to a state data set and an environmental data set, wherein the state data set includes state data at multiple continuous time points, and the state data includes an attenuation coefficient obtained by using an optical time domain reflection technology, a vibration signal obtained by using a phase-sensitive optical time domain reflection technology, a strain of the current OPGW optical cable obtained by using a Brillouin scattering effect, and a temperature of the current OPGW optical cable obtained by using a Raman scattering effect of an optical fiber; according to key state factors and key environmental factors corresponding to different optical cable states, a state feature set is extracted from the state data set and the environmental data set of the current OPGW optical cable; and through a state detection model, according to the state feature set, the real-time state of the current OPGW optical cable is determined.

[0006] Furthermore, through finite element analysis, test status data sets corresponding to different test environments for testing OPGW optical cables are obtained, including: establishing a geometric model of the test OPGW optical cable; assigning material properties to the geometric model of the test OPGW optical cable according to the material of the test OPGW optical cable; discretizing the geometric model of the test OPGW optical cable into multiple units and nodes; for each test environment, applying boundary conditions and loads corresponding to the test environment to the geometric model of the test OPGW optical cable, solving the problem, and obtaining a test status data set corresponding to the test environment.

[0007] Furthermore, the key state factors and key environmental factors corresponding to different optical cable states are determined according to the test state data sets corresponding to different test environments of the OPGW optical cable tested by the genetic algorithm and the variational mode decomposition algorithm, including: determining multiple test state data sets corresponding to each optical cable state according to the test state data sets corresponding to different test environments of the OPGW optical cable tested; for each state parameter, determining the optimal variational mode decomposition parameter corresponding to the state parameter according to the test state data sets of different test environments by the genetic algorithm, wherein the state parameter is the attenuation coefficient, vibration, strain and temperature, and the optimal variational mode decomposition parameter includes the optimal mode number, regularization parameter and number of iterations; for each environment Parameters, determine the optimal variational modal decomposition parameters corresponding to the environmental parameters according to the test environment data sets of different test environments through a genetic algorithm; determine multiple related state factors corresponding to each state parameter and multiple related environmental factors corresponding to each environmental parameter; for each optical cable state, based on the optimal variational modal decomposition parameters corresponding to each state parameter and multiple test state data sets corresponding to the optical cable state, screen the key state factors corresponding to the optical cable state from the multiple related state factors corresponding to each state parameter; based on the optimal variational modal decomposition parameters corresponding to each environmental parameter and multiple test environments corresponding to the optical cable state, screen the key environmental factors corresponding to the optical cable state from the multiple related environmental factors corresponding to each environmental parameter.

[0008] Furthermore, the optimal variational modal decomposition parameters corresponding to the state parameters are determined by a genetic algorithm according to a test state data set corresponding to different test environments of the test OPGW optical cable, including: defining a fitness function corresponding to the state parameters, wherein the fitness function is at least related to an intrinsic modal function correlation coefficient and a cable state center frequency difference coefficient; determining multiple groups of reference variational modal decomposition parameters corresponding to the state parameters; for each group of reference variational modal decomposition parameters, calculating a fitness function value corresponding to the reference variational modal decomposition parameter according to a test state data set corresponding to different test environments of the test OPGW optical cable; and determining the optimal variational modal decomposition parameters corresponding to the state parameters by a genetic algorithm based on the fitness function values ​​corresponding to the multiple groups of reference variational modal decomposition parameters.

[0009] Furthermore, based on the optimal variational modal decomposition parameters corresponding to each state parameter and a plurality of test state data sets corresponding to the optical cable state, a key state factor corresponding to the optical cable state is screened from a plurality of related state factors corresponding to each state parameter, including: for each test environment corresponding to the optical cable state, performing variational modal decomposition on the test state data set of the test environment based on the optimal variational modal decomposition parameters corresponding to each state parameter to obtain a plurality of eigenmode functions corresponding to each state parameter; determining an association parameter of each related state factor to the optical cable state based on a plurality of eigenmode functions of each state parameter in each test environment corresponding to the optical cable state; and screening a key state factor corresponding to the optical cable state from a plurality of related state factors corresponding to each state parameter based on an association parameter of each related state factor to the optical cable state.

[0010] Furthermore, based on the optimal variational modal decomposition parameters corresponding to each environmental parameter and the multiple test environments corresponding to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from the multiple related environmental factors corresponding to each environmental parameter, including: for each test environment corresponding to the optical cable state, performing variational modal decomposition on the test environment data set of the test environment based on the optimal variational modal decomposition parameters corresponding to each environmental parameter to obtain multiple eigenmode functions corresponding to each environmental parameter; determining the association parameters of each related environmental factor to the optical cable state based on the multiple eigenmode functions of each test environment corresponding to the optical cable state for each environmental parameter; and screening the key environmental factors corresponding to the optical cable state from the multiple related state factors corresponding to each state parameter based on the association parameters of each related environmental factor to the optical cable state.

[0011] Furthermore, the state detection model includes a state detection unit corresponding to each optical cable state.

[0012] Furthermore, according to the key state factors and key environmental factors corresponding to different optical cable states, a state feature set is extracted from the state data set and the environmental data set of the current OPGW optical cable, including: determining the key state parameters and the key environmental parameters corresponding to different optical cable states according to the key state factors and the key environmental factors corresponding to different optical cable states; determining the target optical cable state based on the state data set of the current OPGW optical cable and the key state parameters and the key environmental parameters corresponding to different optical cable states; extracting the state feature set corresponding to the target optical cable state from the state data set and the environmental data set of the current OPGW optical cable based on the key state factors and the key environmental factors corresponding to the target optical cable state.

[0013] Furthermore, the real-time state of the current OPGW optical cable is determined according to the state feature set through the state detection model, including: for each target optical cable state, the state feature set corresponding to the target optical cable state is input into the state detection unit corresponding to the target optical cable state; based on the output result of the state detection unit corresponding to each target optical cable state, the real-time state of the current OPGW optical cable is determined.

[0014] The present invention provides a state detection system for an OPGW optical cable, which utilizes the state detection method for an OPGW optical cable, and comprises: a data acquisition module, which is used to acquire a test state data set corresponding to different test environments for testing the OPGW optical cable through finite element analysis, wherein the test state data set includes the attenuation coefficient, vibration, strain and temperature of the OPGW optical cable at multiple continuous test time points; a factor determination module, which is used to determine key state factors and key environmental factors corresponding to different optical cable states according to the test state data set corresponding to different test environments for testing the OPGW optical cable through a genetic algorithm and a variational mode decomposition algorithm; a model establishment module, which is used to establish a state detection model according to the key state factors and key environmental factors corresponding to different optical cable states; the data The acquisition module is also used to acquire the state data set and environmental data set of the current OPGW optical cable, wherein the state data set includes state data at multiple consecutive time points, and the state data includes the attenuation coefficient obtained by using the optical time domain reflection technology, the vibration signal obtained by using the phase-sensitive optical time domain reflection technology, the strain of the current OPGW optical cable obtained by using the Brillouin scattering effect, and the temperature of the current OPGW optical cable obtained by using the Raman scattering effect of the optical fiber; the feature extraction module is used to extract the state feature set from the state data set and environmental data set of the current OPGW optical cable according to the key state factors and key environmental factors corresponding to different optical cable states; the state analysis module is used to determine the real-time state of the current OPGW optical cable according to the state feature set through the state detection model.

[0015] Compared with the prior art, the state detection method and system for OPGW optical cable provided by the present invention have at least the following beneficial effects:

[0016] 1. Using finite element analysis to simulate the state of optical cables under different test environments can more accurately obtain the performance parameters of optical cables under different conditions. Through genetic algorithms and variational mode decomposition algorithms, key state factors and environmental factors can be identified based on a large amount of data, further improving the accuracy of state detection. Real-time acquisition of optical cable state data sets (including attenuation coefficient, vibration signal, strain and temperature) makes the state monitoring of optical cables more timely. The state detection model can quickly process these data and give the state assessment results of optical cables in real time. Accurate state monitoring and prediction capabilities help to detect abnormal conditions of optical cables in a timely manner and reduce downtime and maintenance costs caused by failures. Through targeted maintenance, the service life of optical cables can be extended and the overall maintenance cost can be reduced. Combining big data and artificial intelligence technology makes it possible to realize intelligent management of optical cables. Through continuous data collection and analysis, the state detection model can be continuously optimized to improve the intelligence level of optical cable management.

[0017] 2. The application of genetic algorithms enables automatic search and determination of the optimal variational mode decomposition parameters, including the optimal number of modes, regularization parameters, and number of iterations. The optimal selection of these parameters is crucial to the performance of the variational mode decomposition algorithm, and can ensure that the algorithm has higher accuracy and efficiency when processing complex signals. Through the variational mode decomposition algorithm, the complex optical cable status signal can be decomposed into multiple intrinsic mode functions, and combined with the genetic algorithm, the key factors can be selected from many related state factors and environmental factors. This process can more accurately identify the factors that have the greatest impact on the state of the optical cable, thereby improving the accuracy and reliability of state detection, reducing manual intervention and subjective judgment, and improving the objectivity and accuracy of the analysis.

[0018] 3. By refining the state detection model, extracting features in a targeted manner, and systematically determining the real-time state, it has many advantages, such as improving detection accuracy, enhancing model adaptability, improving detection efficiency, reducing false alarm and missed alarm rates, promoting intelligent management, and providing a scientific basis for decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0020] Figure 1 It is a flow chart of a method for detecting the state of an OPGW optical cable according to some embodiments of this specification;

[0021] Figure 2 It is a schematic diagram of a process for determining key state factors and key environmental factors corresponding to different optical cable states according to some embodiments of this specification;

[0022] Figure 3 It is a module schematic diagram of a status detection system for OPGW optical cables according to some embodiments of this specification. DETAILED DESCRIPTION

[0023] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0024] Figure 1 is a flow chart of a method for detecting the state of an OPGW optical cable according to some embodiments of this specification, such as Figure 1 As shown, the status detection method for an OPGW optical cable may include the following steps.

[0025] S101. Obtain test status data sets corresponding to different test environments for testing OPGW optical cables through finite element analysis.

[0026] The test status data set includes the attenuation coefficient, vibration, strain and temperature of the OPGW optical cable at multiple consecutive test time points.

[0027] In some embodiments, S101 may specifically include:

[0028] Establish a geometric model of the OPGW optical cable for testing. Specifically, use CAD software or other geometric modeling tools to draw the geometric model of the OPGW optical cable for testing according to the actual size and structure of the optical cable (such as core wire, sheath, reinforcement, etc.), and import the model into finite element analysis software to ensure the accuracy and completeness of the model. The structure and material of the OPGW optical cable for testing are consistent with those of the current OPGW optical cable for subsequent status detection.

[0029] According to the material of the OPGW optical cable to be tested, material properties are assigned to the geometric model of the OPGW optical cable to be tested. Specifically, in the finite element analysis software, corresponding material properties are assigned to each part (such as core wire, sheath, etc.) of the geometric model of the OPGW optical cable to be tested, such as elastic modulus, Poisson's ratio, density, etc.;

[0030] Discretize the geometric model of the OPGW optical cable to be tested into multiple units and nodes. Specifically, use the meshing function of the finite element analysis software to divide the geometric model of the OPGW optical cable to be tested into multiple small units (such as triangles, quadrilaterals or polyhedrons, etc.). These units are connected through nodes to form a discrete grid system for numerical calculation;

[0031] For each test environment, the boundary conditions and loads corresponding to the test environment are applied to the geometric model of the test OPGW optical cable, and the solution is performed to obtain the test state data set of the corresponding test environment. Specifically, the boundary conditions may include displacement constraints, velocity constraints, etc., and the loads may include static loads, dynamic loads, thermal loads, etc., wherein the environmental parameters of different test environments are different, and the test environment may include environmental parameters of multiple consecutive test time points (for example, ambient temperature, ambient humidity, ambient air pressure, ambient wind speed, etc.).

[0032] S102, determining key state factors and key environment factors corresponding to different optical cable states according to test state data sets corresponding to different test environments of the OPGW optical cable by using a genetic algorithm and a variational mode decomposition algorithm.

[0033] Figure 2 is a flow chart of determining key state factors and key environmental factors corresponding to different optical cable states according to some embodiments of this specification, such as Figure 2 As shown, in some embodiments, S102 may specifically include:

[0034] According to the test status data sets corresponding to different test environments of the OPGW optical cable, a plurality of test status data sets corresponding to each optical cable state are determined;

[0035] For each state parameter, the optimal variational modal decomposition parameters corresponding to the state parameter are determined by genetic algorithm according to the test state data sets of different test environments, where the state parameters are attenuation coefficient, vibration, strain and temperature, and the optimal variational modal decomposition parameters include the optimal mode number, regularization parameter and number of iterations;

[0036] For each environmental parameter, the optimal variational mode decomposition parameters corresponding to the environmental parameter are determined by genetic algorithm based on the test environment data sets of different test environments;

[0037] Determine a plurality of relevant state factors corresponding to each state parameter (e.g., variance, frequency, amplitude, and instantaneous frequency of each intrinsic mode function corresponding to the state parameter) and a plurality of relevant environmental factors corresponding to each environmental parameter (e.g., variance, frequency, amplitude, and instantaneous frequency of each intrinsic mode function corresponding to the environmental parameter);

[0038] For each optical cable state, based on the optimal variational modal decomposition parameters corresponding to each state parameter and multiple test state data sets corresponding to the optical cable state, the key state factors corresponding to the optical cable state are screened from multiple related state factors corresponding to each state parameter; based on the optimal variational modal decomposition parameters corresponding to each environmental parameter and multiple test environments corresponding to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from multiple related environmental factors corresponding to each environmental parameter.

[0039] Specifically, different test environments result in different states of the tested OPGW optical cable. For example, the breeze vibration state corresponds to the test environment A1-A15, the dancing state corresponds to the test environment A16-A30, the lightning strike state corresponds to the test environment A31-A50, etc. The states of the tested OPGW optical cable under different test environments can be determined manually.

[0040] In some embodiments, determining the optimal variational modal decomposition parameters corresponding to the state parameters by using a genetic algorithm according to the test state data sets corresponding to different test environments of the OPGW optical cable test includes:

[0041] Define a fitness function corresponding to the state parameter, wherein the fitness function is at least related to an intrinsic mode function correlation coefficient and an optical cable state center frequency difference coefficient;

[0042] Determine multiple groups of reference variational mode decomposition parameters corresponding to the state parameters;

[0043] For each set of reference variational modal decomposition parameters, the fitness function value corresponding to the reference variational modal decomposition parameters is calculated according to the test state data sets corresponding to different test environments of the tested OPGW optical cable;

[0044] The optimal variational modal decomposition parameters corresponding to the state parameters are determined by a genetic algorithm based on the fitness function values ​​corresponding to multiple groups of reference variational modal decomposition parameters.

[0045] Specifically, the test state data set may include a test data sequence corresponding to each state parameter, wherein the test data sequence may include values ​​of the state parameter at a plurality of consecutive test time points.

[0046] The intrinsic mode function correlation coefficient can represent the average value of the correlation coefficients of two adjacent intrinsic mode functions in a plurality of intrinsic mode functions arranged in the order of decomposition after the test data sequence and performance decomposition of the state parameters.

[0047] The center frequency difference coefficient correlation of the optical cable state can characterize the difference in the center frequencies of multiple intrinsic mode functions corresponding to different optical cable states arranged in the order of decomposition. Among them, the center frequencies of multiple intrinsic mode functions corresponding to the optical cable state arranged in the order of decomposition can be determined based on the following process:

[0048] S11. Multiple test data sequences corresponding to state parameters extracted from test environment data sets of multiple test environments corresponding to the optical cable state. For example, if the breeze vibration state corresponds to test environment A1-A15, then test data sequences B1-B15 corresponding to temperature can be extracted from the test environment data sets of test environment A1-A15.

[0049] S12, for each test data sequence corresponding to the extracted state parameter, performing variational mode decomposition on the test data sequence, and arranging multiple intrinsic mode functions obtained in the order of decomposition;

[0050] S13. For each intrinsic mode function serial number, the center frequency of the eigenmode function corresponding to the eigenmode function serial number of each test data sequence is averaged to obtain the center frequency corresponding to the eigenmode function serial number. For example, for the second eigenmode function, the center frequency of the second eigenmode function corresponding to the test data sequence B1-B15 can be averaged to obtain the center frequency of the eigenmode function corresponding to the eigenmode function serial number.

[0051] As an example only, the fitness function corresponding to the state parameter can be:

[0052]

[0053] in, is the fitness function corresponding to the state parameter, and is the preset weight, and greater than 0, , is the preset parameter, greater than 0, is the total number of test environment data sets corresponding to the state parameters, is the state parameter corresponding to the nth test environment data set The eigenmode function and the The correlation coefficient of the eigenmode functions, is the number of modes, is the first order of decomposition corresponding to the i-th optical cable state The center frequency of the eigenmode function, is the first order of decomposition corresponding to the jth optical cable state The center frequency of the eigenmode function, The total number of optical cable statuses.

[0054] The optimal variational mode decomposition parameters corresponding to the state parameters can be determined according to the following process:

[0055] S21, Coding:

[0056] The variational mode decomposition parameters are encoded as individual gene strings, for example, represented by integers or floating point numbers.

[0057] S22. Initialize the population:

[0058] Multiple sets of reference variational mode decomposition parameters corresponding to the state parameters will serve as the starting points of the genetic algorithm.

[0059] S23, fitness function:

[0060] According to the fitness function corresponding to the state parameters, the fitness of the individual is calculated. The higher the fitness value, the better the performance of the individual (i.e., the variational mode decomposition parameter).

[0061] S24. Genetic Operations:

[0062] Selection: Retain excellent individuals according to their fitness values, that is, select parameter combinations with better performance for subsequent operations.

[0063] Crossover: Exchange genes between excellent individuals to produce new combinations, that is, combine the advantages of different parameter combinations to generate new variational mode decomposition parameters.

[0064] Mutation: Introducing small-probability random changes in an individual’s genes to maintain population diversity, that is, randomly adjusting some parameters to explore new possibilities.

[0065] S25, Iteration:

[0066] Repeat the above genetic operation until the preset number of iterations is reached or the stopping condition is met. During the iteration process, the individuals in the population (i.e., the variational mode decomposition parameters) will continue to evolve and the fitness value will gradually increase.

[0067] S26. Decoding and optimal parameter determination:

[0068] After the iteration, the optimal individual (i.e., the individual with the highest fitness value) is found, and its genes are decoded into the optimal variational mode decomposition parameters corresponding to the state parameters.

[0069] The method of determining the optimal variational modal decomposition parameters corresponding to the environmental parameters is similar to the method of determining the optimal variational modal decomposition parameters corresponding to the state parameters, and will not be repeated here.

[0070] In some embodiments, based on the optimal variational modal decomposition parameters corresponding to each state parameter and multiple test state data sets corresponding to the optical cable state, a key state factor corresponding to the optical cable state is selected from multiple related state factors corresponding to each state parameter, including:

[0071] For each test environment corresponding to the optical cable state, a test state data set of the test environment is subjected to variational mode decomposition based on an optimal variational mode decomposition parameter corresponding to each state parameter, and a plurality of intrinsic mode functions corresponding to each state parameter are obtained;

[0072] Determine the associated parameter of each relevant state factor to the state of the optical cable based on multiple intrinsic mode functions of each test environment corresponding to each state parameter in the state of the optical cable;

[0073] Based on the associated parameters of each relevant state factor to the optical cable state, a key state factor corresponding to the optical cable state is screened from a plurality of relevant state factors corresponding to each state parameter.

[0074] Specifically, the correlation parameters of the relevant state factors to the optical cable state can be calculated according to the following process:

[0075] S31, for each relevant state factor, determining a factor value difference coefficient of the current optical cable state corresponding to the relevant state factor according to a plurality of intrinsic mode functions of each test environment corresponding to each state parameter in the current optical cable state;

[0076] S32, taking the relevant state factors whose factor value difference coefficient is less than the factor value difference coefficient threshold as candidate state factors;

[0077] S33, for each candidate state factor, determining a factor mean value of each optical cable state corresponding to the candidate state factor according to a plurality of intrinsic mode functions of each state parameter in each test environment corresponding to each optical cable state;

[0078] S34, calculating the factor mean difference coefficient of the candidate state factor corresponding to the current optical cable state according to the factor mean of each optical cable state corresponding to the candidate state factor;

[0079] S35. Calculate the correlation parameter of the candidate state factor to the optical cable state based on the factor value difference coefficient and the factor mean difference coefficient of the candidate state factor corresponding to the current optical cable state.

[0080] The correlation parameter of the candidate state factor to the optical cable state can be calculated according to the following formula:

[0081]

[0082] in, is the association parameter of the ith candidate state factor of the tth optical cable state to the tth optical cable state, and is the preset weight, and greater than 0, , is the factor value difference coefficient of the i-th candidate state factor of the t-th optical cable state to the t-th optical cable state, is the factor value of the i-th candidate state factor of the t-th optical cable state in the n-th test environment corresponding to the t-th optical cable state, is the total number of test environments corresponding to the t-th optical cable state, is the factor mean difference coefficient of the t-th optical cable state corresponding to the i-th candidate state factor of the t-th optical cable state, is the factor mean of the i-th candidate state factor of the t-th optical cable state corresponding to the m-th optical cable state, is the factor mean of the i-th candidate state factor of the t-th optical cable state corresponding to the t-th optical cable state, The total number of optical cable statuses.

[0083] The candidate state factors whose associated parameters are greater than the associated parameter threshold are taken as the key state factors corresponding to the current optical cable state.

[0084] In some embodiments, based on the optimal variational modal decomposition parameters corresponding to each environmental parameter and the multiple test environments corresponding to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from the multiple related environmental factors corresponding to each environmental parameter, including:

[0085] For each test environment corresponding to the optical cable state, a test environment data set of the test environment is subjected to variational mode decomposition based on an optimal variational mode decomposition parameter corresponding to each environment parameter, to obtain a plurality of intrinsic mode functions corresponding to each environment parameter;

[0086] Determine the correlation parameter of each relevant environmental factor to the optical cable state based on multiple intrinsic mode functions of each test environment corresponding to each environmental parameter in the optical cable state;

[0087] Based on the associated parameters of each relevant environmental factor to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from a plurality of relevant state factors corresponding to each state parameter.

[0088] Specifically, the method of screening the key environmental factors corresponding to the optical cable status is similar to the method of screening the key status factors corresponding to the optical cable status, which will not be described in detail here.

[0089] S103: Establish a state detection model according to key state factors and key environmental factors corresponding to different optical cable states.

[0090] The state detection model includes a state detection unit corresponding to each optical cable state. The state detection unit may be a convolutional neural network model.

[0091] A physical model corresponding to the OPGW optical cable test can be established, and simulation experiments can be carried out based on the physical model to obtain training data and train the state detection model.

[0092] S104: Acquire a status data set and an environment data set of the current OPGW optical cable.

[0093] Among them, the state data set includes state data at multiple continuous time points, and the state data includes the attenuation coefficient obtained using optical time domain reflection technology, the vibration signal obtained using phase-sensitive optical time domain reflection technology, the strain of the current OPGW optical cable obtained using the Brillouin scattering effect, and the temperature of the current OPGW optical cable obtained using the Raman scattering effect of the optical fiber.

[0094] Specifically, the optical time domain reflectometry technology analyzes the attenuation and loss of optical fibers by sending short pulse optical signals into the optical fiber and detecting the returned reflected and scattered signals. The attenuation coefficient is an important parameter to measure the transmission quality of optical fiber links, usually expressed in units of dB / km (decibels per kilometer). It indicates the signal strength lost for every kilometer of optical fiber distance during signal transmission. The size of the attenuation coefficient directly affects the transmission distance and signal quality of the optical signal in the optical fiber.

[0095] Phase-sensitive optical time-domain reflectometry is a typical distributed optical fiber vibration sensing technology that uses backscattered Rayleigh light to sense external vibration signals. When the optical fiber is subjected to external vibration, the phase of the backscattered light changes. By detecting this phase change, the vibration source can be located and the vibration waveform can be restored.

[0096] Brillouin scattering is a scattering phenomenon caused by the inelastic collision of photons and phonons. In optical fibers, the frequency of Brillouin scattered light is related to the material properties and strain state of the optical fiber. Therefore, by measuring the frequency shift of Brillouin scattered light, the strain state of the optical fiber can be monitored.

[0097] S105. Extracting a state feature set from a state data set and an environmental data set of a current OPGW optical cable according to key state factors and key environmental factors corresponding to different optical cable states.

[0098] In some embodiments, S105 specifically includes:

[0099] According to the key state factors and key environmental factors corresponding to different optical cable states, the key state parameters and key environmental parameters corresponding to different optical cable states are determined. For example, for each state parameter, a threshold value corresponding to the state parameter can be set. When the mean value of the state parameter is always greater than the corresponding threshold value under a certain optical cable state, the state parameter can be used as the key state parameter corresponding to the corresponding optical cable state. The method for determining the key environmental parameter is the same as the method for determining the key state parameter, which will not be repeated here.

[0100] Based on the current OPGW optical cable state data set and the key state parameters and key environmental parameters corresponding to different optical cable states, determine the target optical cable state. For example, based on the current OPGW optical cable state data set, if the mean values ​​of the key state parameters and key environmental parameters corresponding to a certain optical cable state are both greater than the corresponding threshold values, then the optical cable state is determined to be the target optical cable state.

[0101] Based on the key state factors and key environmental factors corresponding to the target optical cable state, a state feature set corresponding to the target optical cable state is extracted from the state data set and the environmental data set of the current OPGW optical cable. The state feature set corresponding to the target optical cable state may include the factor values ​​of each key state factor and each key environmental factor corresponding to the target optical cable state obtained by the above-mentioned variational mode decomposition method.

[0102] S106: Determine the real-time status of the current OPGW optical cable through the status detection model according to the status feature set.

[0103] In some embodiments, S106 specifically includes:

[0104] For each target optical cable state, inputting a state feature set corresponding to the target optical cable state into a state detection unit corresponding to the target optical cable state;

[0105] Based on the output result of the state detection unit corresponding to each target optical cable state, the real-time state of the current OPGW optical cable is determined.

[0106] Figure 3 is a schematic diagram of a module for a status detection system for an OPGW optical cable according to some embodiments of this specification, such as Figure 3 As shown, the status detection system for OPGW optical cables may include a data acquisition module, a factor determination module, a model building module, a feature extraction module and a status analysis module.

[0107] A data acquisition module is used to obtain a test state data set corresponding to different test environments of the test OPGW optical cable through finite element analysis, wherein the test state data set includes the attenuation coefficient, vibration, strain and temperature of the test OPGW optical cable at multiple continuous test time points;

[0108] A factor determination module is used to determine key state factors and key environment factors corresponding to different optical cable states according to a test state data set corresponding to different test environments of the OPGW optical cable by using a genetic algorithm and a variational mode decomposition algorithm;

[0109] A model building module is used to build a state detection model according to key state factors and key environmental factors corresponding to different optical cable states;

[0110] The data acquisition module is also used to acquire a state data set and an environmental data set of the current OPGW optical cable, wherein the state data set includes state data at multiple consecutive time points, and the state data includes an attenuation coefficient obtained using an optical time domain reflection technique, a vibration signal obtained using a phase-sensitive optical time domain reflection technique, a strain of the current OPGW optical cable obtained using a Brillouin scattering effect, and a temperature of the current OPGW optical cable obtained using a Raman scattering effect of an optical fiber;

[0111] A feature extraction module is used to extract a state feature set from a state data set and an environmental data set of the current OPGW optical cable according to key state factors and key environmental factors corresponding to different optical cable states;

[0112] The state analysis module is used to determine the real-time state of the current OPGW optical cable through the state detection model according to the state feature set.

[0113] The status detection system for the OPGW optical cable can perform status detection of the OPGW optical cable using the status detection method for the OPGW optical cable, which will not be described in detail here.

[0114] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A method for detecting the status of an OPGW optical cable, characterized in that: include: Through finite element analysis, a test state data set corresponding to different test environments of the test OPGW optical cable is obtained, wherein the test state data set includes the attenuation coefficient, vibration, strain and temperature of the test OPGW optical cable at multiple continuous test time points; By using genetic algorithm and variational mode decomposition algorithm, the key state factors and key environment factors corresponding to different cable states are determined according to the test state data set of the OPGW optical cable corresponding to different test environments; Establish a state detection model based on the key state factors and key environmental factors corresponding to different optical cable states; Acquire a state data set and an environment data set of the current OPGW optical cable, wherein the state data set includes state data at multiple consecutive time points, and the state data includes an attenuation coefficient obtained using an optical time domain reflectometry technique, a vibration signal obtained using a phase-sensitive optical time domain reflectometry technique, a strain of the current OPGW optical cable obtained using a Brillouin scattering effect, and a temperature of the current OPGW optical cable obtained using a Raman scattering effect of an optical fiber; According to the key state factors and key environmental factors corresponding to different optical cable states, a state feature set is extracted from the state data set and environmental data set of the current OPGW optical cable; Through the state detection model, according to the state feature set, the real-time state of the current OPGW optical cable is determined; Through genetic algorithm and variational mode decomposition algorithm, according to the test state data set of OPGW optical cable corresponding to different test environments, the key state factors and key environmental factors corresponding to different optical cable states are determined, including: According to the test status data sets corresponding to different test environments of the OPGW optical cable, a plurality of test status data sets corresponding to each optical cable state are determined; For each state parameter, the optimal variational modal decomposition parameters corresponding to the state parameter are determined by genetic algorithm according to the test state data sets of different test environments, where the state parameters are attenuation coefficient, vibration, strain and temperature, and the optimal variational modal decomposition parameters include the optimal mode number, regularization parameter and number of iterations; For each environmental parameter, the optimal variational mode decomposition parameters corresponding to the environmental parameter are determined by genetic algorithm based on the test environment data sets of different test environments; Determine a plurality of relevant state factors corresponding to each state parameter and a plurality of relevant environmental factors corresponding to each environmental parameter; For each optical cable state, based on the optimal variational modal decomposition parameters corresponding to each state parameter and multiple test state data sets corresponding to the optical cable state, the key state factors corresponding to the optical cable state are screened from multiple related state factors corresponding to each state parameter; based on the optimal variational modal decomposition parameters corresponding to each environmental parameter and multiple test environments corresponding to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from multiple related environmental factors corresponding to each environmental parameter; The optimal variational modal decomposition parameters corresponding to the state parameters are determined by genetic algorithm according to the test state data set of the OPGW optical cable corresponding to different test environments, including: Define a fitness function corresponding to the state parameter, wherein the fitness function is at least related to an intrinsic mode function correlation coefficient and an optical cable state center frequency difference coefficient; Determine multiple groups of reference variational mode decomposition parameters corresponding to the state parameters; For each set of reference variational modal decomposition parameters, the fitness function value corresponding to the reference variational modal decomposition parameters is calculated according to the test state data sets corresponding to different test environments of the tested OPGW optical cable; Determine the optimal variational modal decomposition parameters corresponding to the state parameters based on the fitness function values ​​corresponding to multiple groups of reference variational modal decomposition parameters through a genetic algorithm; The intrinsic mode function correlation coefficient represents the average value of the correlation coefficients of two adjacent intrinsic mode functions in a plurality of intrinsic mode functions arranged in the order of decomposition after the test data sequence and performance decomposition of the state parameters; The optical cable state center frequency difference coefficient correlation characterizes the difference in center frequencies of a plurality of intrinsic mode functions corresponding to different optical cable states and arranged in the order of decomposition.

2. The method for detecting the status of an OPGW optical cable according to claim 1, characterized in that: Through finite element analysis, the test status data set of the OPGW optical cable corresponding to different test environments is obtained, including: Establish the geometric model for testing OPGW optical cable; According to the material of the OPGW optical cable under test, material properties are assigned to the geometric model of the OPGW optical cable under test; Discretize the geometric model of the tested OPGW optical cable into multiple units and nodes; For each test environment, boundary conditions and loads corresponding to the test environment are applied to the geometric model of the test OPGW optical cable, and the solution is performed to obtain a test state data set corresponding to the test environment.

3. The method for detecting the status of an OPGW optical cable according to claim 1, characterized in that: Based on the optimal variational modal decomposition parameters corresponding to each state parameter and multiple test state data sets corresponding to the optical cable state, the key state factors corresponding to the optical cable state are screened from multiple related state factors corresponding to each state parameter, including: For each test environment corresponding to the optical cable state, a test state data set of the test environment is subjected to variational mode decomposition based on an optimal variational mode decomposition parameter corresponding to each state parameter, and a plurality of intrinsic mode functions corresponding to each state parameter are obtained; Determine the associated parameter of each relevant state factor to the state of the optical cable based on multiple intrinsic mode functions of each test environment corresponding to each state parameter in the state of the optical cable; Based on the associated parameters of each relevant state factor to the optical cable state, a key state factor corresponding to the optical cable state is screened from a plurality of relevant state factors corresponding to each state parameter.

4. The state detection method for OPGW optical cable according to claim 1, characterized in that: Based on the optimal variational mode decomposition parameters corresponding to each environmental parameter and the various test environments corresponding to the optical cable status, the key environmental factors corresponding to the optical cable status are selected from the multiple relevant environmental factors corresponding to each environmental parameter, including: For each test environment corresponding to the optical cable state, a test environment data set of the test environment is subjected to variational mode decomposition based on an optimal variational mode decomposition parameter corresponding to each environment parameter, to obtain a plurality of intrinsic mode functions corresponding to each environment parameter; Determine the correlation parameter of each relevant environmental factor to the optical cable state based on multiple intrinsic mode functions of each test environment corresponding to each environmental parameter in the optical cable state; Based on the associated parameters of each relevant environmental factor to the optical cable state, the key environmental factors corresponding to the optical cable state are screened from a plurality of relevant state factors corresponding to each state parameter.

5. The method for detecting the state of an OPGW optical cable according to claim 4, characterized in that: The state detection model includes a state detection unit corresponding to each optical cable state.

6. The method for detecting the status of an OPGW optical cable according to claim 5, characterized in that: According to the key state factors and key environmental factors corresponding to different optical cable states, the state feature set is extracted from the state data set and environmental data set of the current OPGW optical cable, including: According to the key state factors and key environmental factors corresponding to different optical cable states, determine the key state parameters and key environmental parameters corresponding to different optical cable states; Determine the target optical cable state based on the current OPGW optical cable state data set and the key state parameters and key environmental parameters corresponding to different optical cable states; Based on the key state factors and key environmental factors corresponding to the target optical cable state, a state feature set corresponding to the target optical cable state is extracted from the state data set and environmental data set of the current OPGW optical cable.

7. The method for detecting the state of an OPGW optical cable according to claim 6, characterized in that: Through the state detection model, according to the state feature set, the real-time state of the current OPGW optical cable is determined, including: For each target optical cable state, inputting a state feature set corresponding to the target optical cable state into a state detection unit corresponding to the target optical cable state; Based on the output result of the state detection unit corresponding to each target optical cable state, the real-time state of the current OPGW optical cable is determined.

8. The status detection system for OPGW optical cable is characterized by: The method for detecting the state of an OPGW optical cable according to any one of claims 1 to 7 comprises: A data acquisition module is used to obtain a test state data set corresponding to different test environments of the test OPGW optical cable through finite element analysis, wherein the test state data set includes the attenuation coefficient, vibration, strain and temperature of the test OPGW optical cable at multiple continuous test time points; A factor determination module is used to determine key state factors and key environment factors corresponding to different optical cable states according to a test state data set corresponding to different test environments of the OPGW optical cable by using a genetic algorithm and a variational mode decomposition algorithm; A model building module is used to build a state detection model according to key state factors and key environmental factors corresponding to different optical cable states; The data acquisition module is also used to acquire a state data set and an environmental data set of the current OPGW optical cable, wherein the state data set includes state data at multiple consecutive time points, and the state data includes an attenuation coefficient obtained using an optical time domain reflectometry technique, a vibration signal obtained using a phase-sensitive optical time domain reflectometry technique, a strain of the current OPGW optical cable obtained using a Brillouin scattering effect, and a temperature of the current OPGW optical cable obtained using a Raman scattering effect of an optical fiber; A feature extraction module is used to extract a state feature set from a state data set and an environmental data set of the current OPGW optical cable according to key state factors and key environmental factors corresponding to different optical cable states; The state analysis module is used to determine the real-time state of the current OPGW optical cable through the state detection model according to the state feature set.

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