Optical cable health determination method, apparatus, and storage medium

Abstract

The application discloses a kind of optical cable health condition determination method, device and storage medium.Therein, the method comprises: obtaining the static parameter index and dynamic parameter index corresponding to optical cable in power communication network;Using principal component analysis method to process static parameter index, obtain the static characteristic result corresponding to optical cable;Using Brillouin optical time domain reflection method and optical time domain reflection method to process dynamic parameter index, obtain the dynamic characteristic result corresponding to optical cable;Based on static characteristic result and dynamic characteristic result, obtain the health condition corresponding to optical cable.The application solves the technical problems of low accuracy and low efficiency of optical cable health condition evaluation due to single evaluation index.

Description

Technical Field

[0001] This invention relates to the field of electronic information technology, and more specifically, to a method, apparatus, and storage medium for determining the health status of optical cables. Background Technology

[0002] Currently, optical fiber composite overhead ground wire (OPGW) plays a crucial role in power communication networks. As an optical transmission medium, it undertakes multiple tasks in power grid operations, including relay protection, stability control, and data scheduling. It also provides shielding protection against lightning strikes on transmission lines. Therefore, the health status of OPGW directly impacts the safe operation of the power grid. Related technologies often involve weighting the cable's performance indicators, combining subjective and objective weights to obtain the cable's health status. However, this approach fails to consider the changing trends of these indicators during use, resulting in low efficiency in assessing the cable's condition and evaluating its multiple indicators.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method, apparatus, and storage medium for determining the health status of optical cables, in order to at least solve the technical problems of low accuracy and low efficiency in evaluating the health status of optical cables due to the single evaluation index.

[0005] According to one aspect of the present invention, a method for determining the health status of an optical cable is provided, comprising: acquiring static parameter indicators and dynamic parameter indicators corresponding to the optical cable in a power communication network; processing the static parameter indicators using principal component analysis to obtain static feature results corresponding to the optical cable; processing the dynamic parameter indicators using Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain dynamic feature results corresponding to the optical cable; and determining the health status of the optical cable based on the static feature results and the dynamic feature results.

[0006] Optionally, the step of processing the static parameter index using principal component analysis to obtain the static feature result corresponding to the optical cable includes: determining the index matrix corresponding to the static parameter index; normalizing the index matrix to obtain a normalized matrix; processing the normalized matrix using analytic hierarchy process (AHP) to obtain the weight vector corresponding to the static parameter index; obtaining the static weight matrix corresponding to the static parameter index based on the normalized matrix and the weight vector; and processing the static weight matrix using principal component analysis to obtain the static feature result corresponding to the optical cable.

[0007] Optionally, when there are multiple static parameter indicators and multiple optical cables, obtaining the static weight matrix corresponding to the static parameter indicator based on the normalized matrix and the weight vector includes: processing the normalized matrix using the analytic hierarchy process (AHP) to obtain the weight vectors corresponding to the multiple static parameter indicators respectively in the following manner:

[0008] A = {a1, a2, ... a} m}

[0009] a1 + a2 + ... + a m =1

[0010] Among them, a j (j = 1, 2...m) represents the weight value corresponding to the j-th static parameter among the plurality of static parameter indicators, A is the weight vector, m is the number of static parameter indicators, and j is the identifier corresponding to each of the plurality of static parameter indicators; based on the normalized matrix and the weight vector, the static weight matrix corresponding to the plurality of static parameter indicators is obtained in the following manner:

[0011]

[0012] Where X is the static weight matrix, and S is the normalized matrix. Let j be the j-th static parameter index among the multiple static parameter indices of the i-th optical cable, where i is the identifier corresponding to each of the multiple optical cables.

[0013] Optionally, the step of processing the static weight matrix using principal component analysis to obtain the static feature result corresponding to the optical cable includes: processing the static weight matrix using principal component analysis to obtain the principal component projection vector corresponding to the static weight matrix; and standardizing the principal component projection vector to obtain the static feature result corresponding to the optical cable.

[0014] Optionally, when the dynamic parameter index includes at least optical cable strain and optical cable loss, wherein the optical cable strain is used to characterize the strain relationship in the optical cable, and the dynamic parameter index is processed using the Brillouin optical time-domain reflectometry and the optical time-domain reflectometry to obtain the dynamic characteristic result corresponding to the optical cable, including: processing the optical cable strain using the Brillouin optical time-domain reflectometry to obtain a first characteristic result corresponding to the optical cable strain; processing the optical cable loss using the optical time-domain reflectometry to obtain a second characteristic result corresponding to the optical cable loss; and obtaining the dynamic characteristic result corresponding to the dynamic parameter index based on the first characteristic result and the second characteristic result.

[0015] Optionally, the step of processing the optical cable strain using the Brillouin time-domain reflectometry method to obtain the first characteristic result corresponding to the optical cable strain includes: obtaining a reference value and a first test value of the Brillouin frequency corresponding to the optical cable, wherein the reference value is a preset value obtained by the Brillouin time-domain reflectometry method, and the first test value is a measured value obtained by the Brillouin time-domain reflectometry method; obtaining a strain reference matrix corresponding to the optical cable based on the reference value; obtaining a strain measurement matrix corresponding to the optical cable based on the first test value; and obtaining the first characteristic result corresponding to the optical cable strain based on the strain reference matrix and the strain measurement matrix.

[0016] Optionally, when there are multiple optical cables, obtaining the first characteristic result corresponding to the strain of the optical cable based on the strain reference matrix and the measured strain matrix includes: obtaining the first characteristic result corresponding to the strain of the optical cable based on the strain reference matrix and the measured strain matrix in the following manner:

[0017]

[0018]

[0019]

[0020] in, This is the reference value corresponding to the k-th position in the i-th optical cable among multiple optical cables. B is the first test value corresponding to the k-th position in the i-th optical cable among the plurality of optical cables. i0 B is the strain reference matrix corresponding to the i-th optical cable among the plurality of optical cables. i This represents the measured strain matrix corresponding to the i-th optical cable among the plurality of optical cables. V represents the first characteristic result corresponding to the i-th optical cable among the plurality of optical cables, ε is the conversion coefficient between the Brillouin frequency and the optical cable strain, and V t The strain threshold corresponding to the strain of the optical cable, i is the identifier corresponding to each of the multiple optical cables, k is the position identifier of one of the multiple optical cables, and n is the number of the multiple optical cables.

[0021] Optionally, when there are multiple optical cables and the dynamic parameter indicators include at least optical cable strain and optical cable loss, obtaining the health status of the optical cable based on the static feature results and the dynamic feature results includes: obtaining a third feature result corresponding to the optical cable strain and a fourth feature result corresponding to the optical cable loss; and obtaining a set of statuses corresponding to the multiple optical cables respectively based on the static feature results, the third feature result, and the fourth feature result in the following manner:

[0022]

[0023] Among them, R i Let d be the set of health statuses corresponding to the i-th optical cable among the plurality of optical cables. i For the i-th optical cable among the plurality of optical cables, t is the static feature result. i For the third feature result corresponding to the i-th optical cable among the plurality of optical cables, l i The fourth feature result is the i-th optical cable among the plurality of optical cables, where i is the identifier corresponding to each of the plurality of optical cables; based on the status set corresponding to each of the plurality of optical cables, the health status corresponding to each of the plurality of optical cables is obtained.

[0024] According to another aspect of the present invention, an optical cable health status determination device is also provided, comprising: a first acquisition module, configured to acquire static parameter indicators and dynamic parameter indicators corresponding to an optical cable in a power communication network; a first determination module, configured to process the static parameter indicators using principal component analysis to obtain static feature results corresponding to the optical cable; a second determination module, configured to process the dynamic parameter indicators using Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain dynamic feature results corresponding to the optical cable; and a second acquisition module, configured to determine the health status of the optical cable based on the static feature results and the dynamic feature results.

[0025] According to another aspect of the present invention, a storage medium is also provided, the storage medium including a stored program, wherein, when the program is executed, the device where the storage medium is located executes any one of the optical cable health status determination methods.

[0026] In this embodiment of the invention, static and dynamic parameter indicators corresponding to optical cables in a power communication network are obtained; principal component analysis is used to process the static parameter indicators to obtain the static characteristic results of the optical cable; Brillouin optical time-domain reflectometry and optical time-domain reflectometry are used to process the dynamic parameter indicators to obtain the dynamic characteristic results of the optical cable; based on the static and dynamic characteristic results, the health status of the optical cable is obtained. This achieves the goal of evaluating optical cables from both static and dynamic parameter indicators, thereby improving the accuracy of health status assessment. It realizes the technical effect of quantifying the health status of optical cables and improving the accuracy of assessment, thus solving the technical problem of low accuracy and low efficiency in optical cable health status assessment caused by a single evaluation indicator. Attached Figure Description

[0027] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0028] Figure 1 This is a schematic diagram of an optional method for determining the health status of an optical cable according to an embodiment of the present invention;

[0029] Figure 2 This is a flowchart of an optional method for determining the health status of an optical cable according to an embodiment of the present invention;

[0030] Figure 3 This is a static flowchart illustrating an optional method for determining the health status of an optical cable according to an embodiment of the present invention;

[0031] Figure 4 This is a schematic diagram of an optional optical cable health status determination device according to an embodiment of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] According to an embodiment of the present invention, a method embodiment for determining the health status of an optical cable is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0035] Figure 1 This is a schematic diagram of a method for determining the health status of optical cables according to an embodiment of the present invention, as shown below. Figure 1 As shown, the method includes the following steps:

[0036] Step S102: Obtain the static and dynamic parameter indicators corresponding to the optical cables in the power communication network.

[0037] It is understandable that OPGw optical cables in power communication networks have various indicators to characterize their health status.

[0038] Optionally, the above-mentioned static parameters can be of various types. For example, the static parameters are the initial design parameters of the optical cable, including at least: the length of the optical cable, the number of splice boxes, the diameter of the optical cable, the number of optical fiber cores, the material of the optical cable filament, and the diameter of the optical cable filament.

[0039] Step S104: Principal component analysis is used to process the above static parameter indices to obtain the static characteristic results corresponding to the above optical cable.

[0040] In one optional embodiment, the process of obtaining the static feature results corresponding to the optical cable based on the aforementioned static parameter indicators using principal component analysis includes: determining the index matrix corresponding to the aforementioned static parameter indicators; normalizing the aforementioned index matrix to obtain a normalized matrix; processing the aforementioned normalized matrix using the analytic hierarchy process to obtain the weight vector corresponding to the aforementioned static parameter indicators; obtaining the static weight matrix corresponding to the aforementioned static parameter indicators based on the aforementioned normalized matrix and the aforementioned weight vector; and processing the aforementioned static weight matrix using the aforementioned principal component analysis to obtain the aforementioned static feature results corresponding to the aforementioned optical cable.

[0041] It is understandable that static parameters have multiple indices that require a normalization process before subjective weighting is performed using the analytic hierarchy process (AHP) to obtain a weight vector. The normalized matrix, after normalization, is then combined with the weight vector to obtain the static characteristic results corresponding to the optical cable.

[0042] In an optional embodiment, when there are multiple static parameter indicators and multiple optical cables, obtaining the static weight matrix corresponding to the static parameter indicators based on the normalized matrix and the weight vector includes: processing the normalized matrix using the analytic hierarchy process (AHP) to obtain the weight vectors corresponding to the multiple static parameter indicators respectively in the following manner:

[0043] A = {a1, a2, ... a} m}

[0044] a1 + a2 + ... + a m =1

[0045] Among them, a j (j = 1, 2, ..., m) represents the weight value corresponding to the j-th static parameter among the above multiple static parameter indicators, A is the weight vector, m is the number of the above static parameter indicators, and j is the identifier corresponding to each of the above multiple static parameter indicators; based on the above normalized matrix and the above weight vector, the above static weight matrix corresponding to the above multiple static parameter indicators is obtained in the following way:

[0046]

[0047] Where X is the static weight matrix mentioned above, and S is the normalized matrix mentioned above. Let j be the j-th static parameter among the above static parameter indices of the i-th optical cable among multiple optical cables, where i is the identifier corresponding to each of the above multiple optical cables.

[0048] It is understandable that the above processing establishes a mathematical expression and obtains a static weight matrix.

[0049] In one optional embodiment, the above-mentioned processing based on the static weight matrix using principal component analysis to obtain the static feature result corresponding to the optical cable includes: processing based on the static weight matrix using principal component analysis to obtain the principal component projection vector corresponding to the static weight matrix; and standardizing the principal component projection vector to obtain the static feature result corresponding to the optical cable.

[0050] It is understandable that by using the above method to reduce the dimensionality of the static weight matrix, the static characteristic results of the static parameter indicators corresponding to the optical cable can be obtained.

[0051] It should be noted that in practical multivariate evaluation problems, many static parameters related to optical cables are often proposed for comprehensive analysis, as each static parameter reflects certain information about the optical cable to varying degrees. The specific method using principal component analysis involves first obtaining the covariance matrix corresponding to the static weight matrix, then obtaining the eigenvalues ​​based on the covariance matrix, and finally standardizing the eigenvector with the largest eigenvalue to obtain the static feature results.

[0052] Step S106: The above dynamic parameter indices are processed using the Brillouin optical time-domain reflectometry and the optical time-domain reflectometry to obtain the dynamic characteristic results corresponding to the above optical cable.

[0053] It is understandable that the above-mentioned dynamic parameter indicators of the optical cable are processed by using the Brillouin optical time-domain reflectometry and the optical time-domain reflectometry to obtain dynamic characteristic results.

[0054] In an optional embodiment, where the aforementioned dynamic parameter indicators include at least optical cable strain and optical cable loss, wherein the optical cable strain is used to characterize the strain relationship in the optical cable, and the aforementioned dynamic parameter indicators are processed using the Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain the dynamic characteristic results corresponding to the optical cable, including: processing the aforementioned optical cable strain using the aforementioned Brillouin optical time-domain reflectometry to obtain a first characteristic result corresponding to the aforementioned optical cable strain; processing the aforementioned optical cable loss using the aforementioned optical time-domain reflectometry to obtain a second characteristic result corresponding to the aforementioned optical cable loss; and obtaining the aforementioned dynamic characteristic results corresponding to the aforementioned dynamic parameter indicators based on the aforementioned first characteristic results and the aforementioned second characteristic results.

[0055] It is understandable that dynamic parameters are characterized by two indicators: optical cable strain and optical cable loss. These two indicators are processed differently. The optical cable strain is processed using the Brillouin time-domain reflectometry method to obtain the first characteristic result. The optical cable loss is processed using the same method to obtain the second characteristic result. Based on the first and second characteristic results, the dynamic characteristic result is obtained.

[0056] In one optional embodiment, the above-mentioned processing of the optical cable strain using the Brillouin optical time-domain reflectometry method to obtain the first characteristic result corresponding to the optical cable strain includes: obtaining a reference value and a first test value of the Brillouin frequency corresponding to the optical cable, wherein the reference value is a preset value obtained by the Brillouin optical time-domain reflectometry method, and the first test value is a measured value obtained by the Brillouin optical time-domain reflectometry method; obtaining a strain reference matrix corresponding to the optical cable based on the reference value; obtaining a measured strain matrix corresponding to the optical cable based on the first test value; and obtaining the first characteristic result corresponding to the optical cable strain based on the strain reference matrix and the sum of the strain reference matrices.

[0057] It is understandable that the strain of the optical cable is processed using the Brillouin optical time-domain reflectometry method. Through the above method, the strain reference matrix and the strain reference matrix sum are obtained, and then the first characteristic result is obtained.

[0058] In an optional embodiment, when there are multiple optical cables, obtaining the first characteristic result corresponding to the strain of the optical cable based on the strain reference matrix and the strain measurement matrix includes: obtaining the first characteristic result corresponding to the strain of the optical cable based on the strain reference matrix and the strain measurement matrix in the following manner:

[0059]

[0060]

[0061]

[0062] in, This is the reference value corresponding to the k-th position in the i-th optical cable among multiple optical cables. B is the first test value corresponding to the k-th position of the i-th optical cable among the above multiple optical cables. i0 Let B be the strain reference matrix corresponding to the i-th optical cable among the aforementioned multiple optical cables. i This represents the measured strain matrix corresponding to the i-th optical cable among the aforementioned multiple optical cables. V represents the first characteristic result corresponding to the i-th optical cable among the aforementioned plurality of optical cables, ε is the conversion coefficient between the aforementioned Brillouin frequency and the aforementioned optical cable strain, and Vt The strain threshold corresponding to the strain of the aforementioned optical cable, i is the identifier corresponding to each of the aforementioned optical cables, k is the position identifier of one of the aforementioned optical cables, and n is the number of the aforementioned optical cables.

[0063] Understandably, a reference value is obtained through a prior Brillouin optical time-domain reflectometry method, which is then compared with a first test value obtained through actual measurement using the same method. By combining the reference value with the first test value and performing the above processing, the first characteristic result corresponding to the strain of the optical cable is obtained.

[0064] Step S108: Based on the above static feature results and the above dynamic feature results, obtain the health status of the above optical cable.

[0065] It can be understood that the optical cable is evaluated from both static and dynamic perspectives. Through the above processing, the static and dynamic characteristic results are combined to obtain the corresponding health status of the optical cable.

[0066] In an optional embodiment, when there are multiple optical cables and the dynamic parameter indicators include at least optical cable strain and optical cable loss, obtaining the health status of the optical cables based on the static and dynamic feature results includes: acquiring a third feature result corresponding to the optical cable strain and a fourth feature result corresponding to the optical cable loss; and obtaining a set of statuses for each of the multiple optical cables based on the static feature result, the third feature result, and the fourth feature result in the following manner:

[0067]

[0068] Among them, R i Let d be the set of health statuses corresponding to the i-th optical cable among the aforementioned multiple optical cables. i For the static feature result corresponding to the i-th optical cable among the above multiple optical cables, t i For the third feature result corresponding to the i-th optical cable among the above multiple optical cables, t i The fourth feature result is the i-th optical cable among the above optical cables, where i is the identifier of each of the above optical cables; based on the status set corresponding to each of the above optical cables, the health status of each of the above optical cables is obtained.

[0069] It is understandable that, through the above processing, a mathematical expression for the state set corresponding to the optical cable is established, thereby determining the health status of the optical cable.

[0070] It should be noted that when l i When t = 1, the i-th optical cable is in a fault state; when t = 1, the ith optical cable is in a fault state. i =1 and l iWhen t = 0, the i-th optical cable is in a sub-healthy state; when t = 0, the ith optical cable is in a sub-healthy state. i =0 and l i When the value is 0, the i-th optical cable is in a healthy state. The above processing can improve the accuracy of the evaluation of the optical cable's health status.

[0071] Based on the above embodiments and optional embodiments, the present invention also provides a specific implementation method, which is illustrated below with specific examples for ease of understanding: Figure 2 This is a flowchart of an optional optical cable health status determination method according to an embodiment of the present invention, such as... Figure 2 As shown, static and dynamic parameter indicators describing OPGW optical cables are established, and the health of OPGW optical cables is quantified. The static parameter indicators describing OPGW optical cables mainly refer to the design parameters of OPGW optical cables, including cable length, number of splice closures, cable diameter, number of fiber cores, cable filament material, and cable filament diameter. Figure 3 This is a static flowchart illustrating an optional optical cable health status determination method according to an embodiment of the present invention, as shown below. Figure 3 As shown, the static parameter index corresponds to the index matrix. Since there are multiple static parameter indices, a normalization process needs to be performed first to obtain the normalized matrix.

[0072]

[0073]

[0074] S = {s1, s2, ..., s} n}

[0075] in, This refers to the j-th static parameter index of the i-th optical cable in the aforementioned index matrix. Let S be the j-th static parameter index of the i-th optical cable in the above normalized matrix, where j is the identifier corresponding to each of the above static parameter indices, m is the number of the above static parameter indices, i is the identifier corresponding to each of the above optical cables, n is the number of the above optical cables, max is the maximum value function, min is the minimum value function, and S is the above normalized matrix. Based on the normalized matrix, the analytic hierarchy process (AHP) is used to process the data, and the weight vectors corresponding to each of the multiple static parameter indices are obtained in the following way:

[0076] A = {a1, a2, ... a} m}

[0077] a1 + a2 + ... + a m =1

[0078] Among them, a j(j = 1, 2, ..., m) represents the weight value corresponding to the i-th static parameter among multiple static parameter indicators, A is the weight vector, and m is the number of static parameter indicators; based on the normalized matrix and the weight vector, the static weight matrix corresponding to the multiple static parameter indicators is obtained in the following way:

[0079]

[0080] Where X is the static weight matrix mentioned above, and S is the normalized matrix mentioned above. Let j be the j-th static parameter among the aforementioned static parameter indices of the i-th optical cable, where i is the identifier corresponding to each of the aforementioned optical cables. To obtain the static feature result corresponding to the i-th optical cable, firstly, the covariance matrix (denoted as Y) of the static weight matrix (X) is calculated. The covariance matrix Y can be expressed as:

[0081] Y = cov(X) = X T X

[0082] Here, `cov` is a function for calculating the covariance matrix. Next, the eigenvalues ​​and eigenvectors of the covariance matrix are calculated. The eigenvalue matrix G can be represented as...

[0083]

[0084] Where, λ n Let be the eigenvalues ​​of the covariance matrix, 1, 2, ..., n represent the number of optical cables, and evalue is the function used to calculate the eigenvalues. The eigenvector A of the covariance matrix Y can be expressed as:

[0085] A = evector(Y)

[0086] Here, `evector` is the function for calculating eigenvectors. The third step is to find the principal component projection vectors `D` of the static weight matrix `X`, identify the maximum value in the eigenvalue matrix `G`, denoted as the maximum eigenvalue `Gmax`, and denote the principal component projection vector corresponding to the maximum eigenvalue as `d`. The principal components are the principal component projection vectors of the covariance matrix `Y` of the input static weight matrix `X` that have the largest eigenvalue. Then, the principal component projection vectors `d` are standardized.

[0087]

[0088] Where, d i Let be the principal component projection vector corresponding to the i-th optical cable among multiple optical cables, where i is the identifier of each optical cable and n is the number of optical cables. The principal component projection vector is used as the static feature result corresponding to the i-th optical cable.

[0089] The dynamic indicators of OPGW optical cables are state parameters of the cables, including cable strain and cable loss. Cable strain is tested using the Brillouin optical time-domain reflectometry (OTR), and cable loss is also tested using OTR. The data obtained from both methods are distributed data, meaning they contain location information with a certain spatial resolution, and the Brillouin OTR test requires reference data. A reference value is obtained through pre-performed Brillouin OTR testing, which is then combined with a first test value obtained from actual Brillouin OTR measurements. By combining the reference value with the first test value, the first characteristic result corresponding to the cable strain is obtained in the following manner. When there is... When the strain result is set to 1, that is, t i =1; otherwise set to 0, i.e., t i =0. Where, t i Let be the optical cable strain of the i-th optical cable.

[0090]

[0091]

[0092]

[0093] in, This is the reference value corresponding to the k-th position in the i-th optical cable among multiple optical cables. B is the first test value corresponding to the k-th position of the i-th optical cable among the above multiple optical cables. i0 Let B be the strain reference matrix corresponding to the i-th optical cable among the aforementioned multiple optical cables. i This represents the measured strain matrix corresponding to the i-th optical cable among the aforementioned multiple optical cables. V represents the first characteristic result corresponding to the i-th optical cable among the aforementioned plurality of optical cables, ε is the conversion coefficient between the aforementioned Brillouin frequency and the aforementioned optical cable strain, and V t The strain threshold corresponding to the strain of the aforementioned optical cable, i is the identifier corresponding to each of the aforementioned optical cables, k is the position identifier of one of the aforementioned optical cables, and n is the number of the aforementioned optical cables.

[0094] A second test value corresponding to the optical cable loss is obtained, wherein the second test value is obtained by the optical time domain reflectometry method; based on the second test value and a preset loss threshold, a second characteristic result corresponding to the optical cable loss is obtained. The second test value of the optical cable loss is denoted as C, i is the identifier of the optical cable, and x is the identifier corresponding to multiple segments in each optical cable.

[0095]

[0096]

[0097] Among them, C i Let i be the optical cable loss of the i-th optical cable among multiple optical cables. Let x be the segment loss of the x-th segment in the i-th optical cable among multiple optical cables. This is the second test value of the optical cable loss of the i-th optical cable among multiple optical cables, where P is the loss threshold. When there exists... At that time, the result of the optical cable loss was set to 1, i.e., l i =1; otherwise set to 0, i.e., l i =0. l i This represents the optical cable loss corresponding to the i-th optical cable.

[0098] Subsequently, based on the fusion analysis of static and dynamic feature results, the condition sets corresponding to the aforementioned multiple optical cables are obtained, thereby determining the health status of each optical cable. The condition set of the OPGW optical cable is denoted as R, and can be mathematically expressed as:

[0099]

[0100] Among them, R i Let d be the set of health statuses corresponding to the i-th optical cable among the aforementioned multiple optical cables. i For the static feature result corresponding to the i-th optical cable among the above multiple optical cables, t i For the third feature result corresponding to the i-th optical cable among the above multiple optical cables, l i The fourth feature result is the i-th optical cable among the above optical cables, where i is the identifier of each of the above optical cables; based on the status set corresponding to each of the above optical cables, the health status of each of the above optical cables is obtained.

[0101] Through the above processing, the present invention can achieve at least one of the following beneficial effects: The present invention evaluates the health of OPGW optical cables using multi-parameter power data, solving the problem of inaccurate evaluation results from single indicators. It establishes a comprehensive analysis method for evaluating the health status of OPGW optical cables, with static and dynamic parameter indicators as the core.

[0102] According to another aspect of the present invention, an optical cable health status determination device is also provided. Figure 4 This is a schematic diagram of an optional optical cable health status determination device according to an embodiment of the present invention. The device includes: a first acquisition module 402, a first determination module 404, a second determination module 406, and a second acquisition module 408. The device will be described below.

[0103] The first acquisition module 402 is used to acquire the static and dynamic parameter indicators of optical cables in the power communication network.

[0104] The first determining module 404 is connected to the first acquiring module 402 and is used to process the above static parameter indicators using the principal component analysis method to obtain the static characteristic results corresponding to the above optical cable.

[0105] The second determining module 406, connected to the first determining module 404, is used to process the above dynamic parameter indicators using the Brillouin optical time-domain reflectometry and the optical time-domain reflectometry to obtain the dynamic characteristic results corresponding to the above optical cable.

[0106] The second acquisition module 408, connected to the second determination module 406, is used to obtain the health status of the optical cable based on the static feature results and the dynamic feature results.

[0107] In this embodiment of the invention, a first acquisition module 402 is configured to acquire static and dynamic parameter indicators corresponding to optical cables in a power communication network; a first determination module 404, connected to the first acquisition module 402, is configured to process the static parameter indicators using principal component analysis to obtain the static characteristic results corresponding to the optical cables; a second determination module 406, connected to the first determination module 404, is configured to process the dynamic parameter indicators using Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain the dynamic characteristic results corresponding to the optical cables; and a second acquisition module 408, connected to the second determination module 406, is configured to determine the health status of the optical cables based on the static and dynamic characteristic results. This achieves the goal of evaluating optical cables using both static and dynamic parameter indicators, thereby improving the accuracy of health status assessment. It also realizes the technical effect of quantifying the health status of optical cables and improving the accuracy of assessment, thus solving the technical problem of low accuracy and low efficiency in optical cable health status assessment caused by a single evaluation indicator.

[0108] It should be noted that the first acquisition module 402, the first determination module 404, the second determination module 406, and the second acquisition module 408 mentioned above correspond to steps S102 to S108 in the embodiments. The instances and application scenarios implemented by the above modules and the corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can run in a computer terminal.

[0109] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0110] The aforementioned optical cable health status determination device may further include a processor and a memory. The first acquisition module 402, the first determination module 404, the second determination module 406, the second acquisition module 408, etc., are all stored in the memory as program units, and the processor executes the aforementioned program units stored in the memory to realize the corresponding functions.

[0111] The processor contains a core that retrieves the corresponding program unit from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0112] This invention provides a storage medium storing a program that, when executed by a processor, implements a method for determining the health status of an optical cable.

[0113] This invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs the following steps: acquiring static and dynamic parameter indicators corresponding to optical cables in a power communication network; processing the static parameter indicators using principal component analysis to obtain static characteristic results corresponding to the optical cables; processing the dynamic parameter indicators using Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain dynamic characteristic results corresponding to the optical cables; and obtaining the health status of the optical cables based on the static and dynamic characteristic results. The device described herein can be a server, PC, etc.

[0114] This invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program with the following method steps: obtaining static and dynamic parameter indicators corresponding to optical cables in a power communication network; processing the static parameter indicators using principal component analysis to obtain static characteristic results corresponding to the optical cables; processing the dynamic parameter indicators using Brillouin optical time-domain reflectometry and optical time-domain reflectometry to obtain dynamic characteristic results corresponding to the optical cables; and obtaining the health status of the optical cables based on the static and dynamic characteristic results.

[0115] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0116] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units described above can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0118] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0119] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0120] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0121] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the health status of an optical cable, characterized in that, include: Obtain the static and dynamic parameter indicators of optical cables in the power communication network; The static parameter indexes are processed using principal component analysis to obtain the static characteristic results corresponding to the optical cable; The dynamic parameter indices are processed using the Brillouin optical time-domain reflectometry (OTR) method and the optical time-domain reflectometry (OTDR) method to obtain the dynamic characteristic results corresponding to the optical cable. The dynamic parameter indices include the optical cable strain and the optical cable loss. The optical cable strain is processed using the Brillouin OTR method to obtain a first characteristic result; the optical cable loss is processed using the OTR method to obtain a second characteristic result; and the dynamic characteristic result is obtained based on the first and second characteristic results. Based on the static feature results and the dynamic feature results, the health status of the optical cable is obtained; The step of processing the static parameter index using principal component analysis to obtain the static feature result corresponding to the optical cable includes: determining the index matrix corresponding to the static parameter index; normalizing the index matrix to obtain a normalized matrix; processing the normalized matrix using analytic hierarchy process (AHP) to obtain the weight vector corresponding to the static parameter index; obtaining the static weight matrix corresponding to the static parameter index based on the normalized matrix and the weight vector; and processing the static weight matrix using principal component analysis to obtain the static feature result corresponding to the optical cable. Where there are multiple optical cables, and the dynamic parameter indicators include at least optical cable strain and optical cable loss, obtaining the health status of the optical cable based on the static feature results and the dynamic feature results includes: obtaining a third feature result corresponding to the optical cable strain and a fourth feature result corresponding to the optical cable loss; obtaining a set of conditions corresponding to each of the multiple optical cables based on the static feature results, the third feature result, and the fourth feature result; and obtaining the health status of each of the multiple optical cables based on the set of conditions corresponding to each of the multiple optical cables.

2. The method according to claim 1, characterized in that, When there are multiple static parameter indicators and multiple optical cables, obtaining the static weight matrix corresponding to the static parameter indicator based on the normalized matrix and the weight vector includes: Based on the normalized matrix, the analytic hierarchy process (AHP) is used to obtain the weight vectors corresponding to the multiple static parameter indices in the following manner: ； ； in, The first of the multiple static parameter indices The weight values ​​corresponding to each static parameter indicator Let be the weight vector. The number of the static parameter indices. This serves as the identifier for the static parameter index; Based on the normalized matrix and the weight vector, the static weight matrix corresponding to the plurality of static parameter indices is obtained in the following manner: ； in, The static weight matrix, This serves as an identifier for the multiple static parameter indicators. For the normalized matrix, For the first of multiple optical cables The first of the plurality of static parameter indicators of the optical cable A static parameter index, These are the identifiers corresponding to the various optical cables.

3. The method according to claim 1, characterized in that, The process of processing the static weight matrix using principal component analysis to obtain the static feature results corresponding to the optical cable includes: Based on the static weight matrix, principal component analysis is used to process it to obtain the principal component projection vectors corresponding to the static weight matrix. The principal component projection vector is standardized to obtain the static feature result corresponding to the optical cable.

4. The method according to claim 1, characterized in that, Based on the optical cable strain, the Brillouin optical time-domain reflectometry method is used for processing to obtain the first characteristic result corresponding to the optical cable strain, including: Obtain a reference value and a first test value for the Brillouin frequency corresponding to the optical cable, wherein the reference value is a preset value obtained by the Brillouin optical time domain reflection method, and the first test value is a measured value obtained by the Brillouin optical time domain reflection method; Based on the reference value, the strain reference matrix corresponding to the optical cable is obtained; Based on the first test value, the strain measurement matrix corresponding to the optical cable is obtained; Based on the strain reference matrix and the strain measured matrix, the first characteristic result corresponding to the strain of the optical cable is obtained.

5. The method according to claim 4, characterized in that, When there are multiple optical cables, obtaining the first characteristic result corresponding to the strain of the optical cable based on the strain reference matrix and the measured strain matrix includes: Based on the strain reference matrix and the measured strain matrix, the first characteristic result corresponding to the strain of the optical cable is obtained in the following manner: ； ； ； in, For the first of multiple optical cables The first of the optical cables Reference values ​​corresponding to each position The first of the plurality of optical cables The first of the optical cables The first test value corresponding to each position. The first of the plurality of optical cables The strain reference matrix corresponding to each optical cable The first of the plurality of optical cables The measured strain matrix corresponding to each optical cable The first of the plurality of optical cables The first feature result corresponding to each optical cable This is the conversion factor between the Brillouin frequency and the optical cable strain. The strain threshold corresponding to the strain of the optical cable The identifiers are for the various optical cables respectively. This serves as a location identifier for one of the plurality of optical cables. The number of the plurality of optical cables.

6. The method according to claim 1, characterized in that, When there are multiple optical cables, and the dynamic parameter indicators include at least optical cable strain and optical cable loss, the process of obtaining the corresponding health status of the optical cables based on the static characteristic results and the dynamic characteristic results includes: The following methods were used to obtain the condition sets corresponding to multiple optical cables: ； in, The first of the plurality of optical cables The set of health statuses corresponding to each optical cable. The first of the plurality of optical cables Static feature results corresponding to each optical cable The first of the plurality of optical cables The third feature result corresponding to each optical cable The first of the plurality of optical cables The fourth feature result corresponding to each optical cable These are the identifiers corresponding to the various optical cables.

7. A device for determining the health status of an optical cable, characterized in that, include: The first acquisition module is used to acquire the static and dynamic parameter indicators of optical cables in the power communication network. The first determining module is used to process the static parameter index using principal component analysis to obtain the static characteristic results corresponding to the optical cable; The second determining module is used to process the dynamic parameter indicators using the Brillouin optical time-domain reflectometry (OTDR) method and the optical time-domain reflectometry (OTDR) method to obtain the dynamic characteristic results corresponding to the optical cable. The dynamic parameter indicators include optical cable strain and optical cable loss. The optical cable strain is processed using the Brillouin OTDR method to obtain a first characteristic result; the optical cable loss is processed using the OTDR method to obtain a second characteristic result; and the dynamic characteristic result is obtained based on the first characteristic result and the second characteristic result. The second acquisition module is used to obtain the health status of the optical cable based on the static feature results and the dynamic feature results; The first determining module is further configured to: determine the index matrix corresponding to the static parameter index; normalize the index matrix to obtain a normalized matrix; process the normalized matrix using the analytic hierarchy process (AHP) to obtain the weight vector corresponding to the static parameter index; obtain the static weight matrix corresponding to the static parameter index based on the normalized matrix and the weight vector; and process the static weight matrix using the principal component analysis (PCA) to obtain the static feature result corresponding to the optical cable. The second acquisition module is further configured to, when there are multiple optical cables, acquire a third characteristic result corresponding to the strain of the optical cable and a fourth characteristic result corresponding to the loss of the optical cable; based on the static characteristic result, the third characteristic result, and the fourth characteristic result, obtain a set of conditions corresponding to the multiple optical cables respectively; and based on the set of conditions corresponding to the multiple optical cables respectively, obtain the health status corresponding to the multiple optical cables respectively.

8. A storage medium, characterized in that, The storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the storage medium to perform the optical cable health status determination method according to any one of claims 1 to 6.

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