Optical cable routing calibration method and system based on optical cable routing survey instrument

Abstract

The application relates to the technical field of data denoising processing, in particular to an optical cable routing calibration method and system based on an optical cable routing survey instrument.The method comprises the following steps: acquiring vibration intensity sequences, GPS positioning coordinates and geographical position names of each target calibration point in a to-be-tested optical cable pipe gallery channel; obtaining the clutter interference degree of each peak position according to the random characteristics of the change of vibration signal intensity in the vibration intensity sequences of each target calibration point; obtaining the clutter confidence of each peak position through the local distribution characteristics and difference of the clutter interference degree, correcting each peak in the vibration intensity sequences, and then determining the optical cable skin length of each target calibration point, and completing the optical cable routing calibration through the optical cable skin length, GPS positioning coordinates and geographical position names of each target calibration point in the to-be-tested optical cable pipe gallery channel. The application can improve the data accuracy of the calibration points in the optical cable routing calibration process and improve the routing calibration accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data denoising processing, in particular to an optical cable route calibration method and system based on an optical cable route survey instrument. BACKGROUND

[0002] In order to improve the efficiency and accuracy of the operation and maintenance of the optical cable communication line, an optical cable route survey instrument is often used to calibrate the optical cable route of the optical cable communication line, and a reliable optical cable route map is formed, so that efficient operation and maintenance can be carried out based on the optical cable route map.

[0003] In the prior art, the optical cable route survey instrument uses DVS distributed fiber-optic vibration sensor technology to knock the optical cable pipeline, well cover or cable at each calibration point without excavation, well opening or climbing, and then forms a vibration signal of each target calibration point. Then, the optical cable skin length of each target calibration point is identified based on the vibration signal of each target calibration point, and the GPS positioning coordinates and geographic coordinate information of each target calibration point are combined to establish an optical cable route map of the optical cable communication line, which can improve the efficiency and quality of the operation and maintenance of the optical cable communication line.

[0004] However, the vibration signal formed at the target calibration point is affected by external noise, which causes the phenomenon of clutter interference on the vibration signal, affecting the identification of the optical cable skin length of each target calibration point. The prior art usually uses signal filtering to process the vibration signal, but does not fully exploit the credibility of the clutter interference on the vibration signal, and cannot accurately eliminate the clutter interference characteristics in the vibration signal, resulting in poor accuracy in identifying the optical cable skin length of each target calibration point, and ultimately affecting the accuracy of the optical cable route calibration of the optical cable communication line. SUMMARY

[0005] To solve the above technical problems, the purpose of the present application is to provide an optical cable route calibration method and system based on an optical cable route survey instrument, and the technical solution is as follows:

[0006] The present application provides an optical cable route calibration method based on an optical cable route survey instrument, which includes the following steps:

[0007] Obtain the vibration intensity sequence, GPS positioning coordinates and geographic location name of each target calibration point in the optical cable pipeline channel to be measured;

[0008] According to the random characteristics of the change of the local vibration signal intensity of each peak value in the vibration intensity sequence of each target calibration point, the clutter interference degree of each peak value is obtained.

[0009] The noise confidence of each peak position is obtained through the local distribution characteristics of the noise interference degree of each peak position and the difference of the noise interference degree, so as to correct each peak in the vibration intensity sequence.

[0010] The cable skin length of each target calibration point is determined based on the corrected maximum peak, and the cable routing calibration is completed through the cable skin length, the GPS positioning coordinates, and the geographical position name of each target calibration point in the pipe gallery channel of the cable to be measured.

[0011] Preferably, the target calibration points in the pipe gallery channel of the cable to be measured are identified by the cable routing census instrument, and the vibration signal curve graph of each target calibration point is obtained through the vibration detection channel of the cable routing census instrument, wherein the abscissa of the vibration signal curve graph is the cable skin length, and the ordinate is the vibration signal intensity. The vibration signal intensity in the vibration signal curve graph is arranged in ascending order of the cable skin length to form the vibration intensity sequence of each target calibration point.

[0012] Preferably, the noise interference degree of each peak position is further obtained as follows: ; wherein, is the noise interference degree of the jth peak position, is the chaotic degree of the first-order difference sequence of the jth peak position window sequence, is the mean of the absolute values of all elements in the first-order difference sequence of the jth peak position window sequence, is a constant to avoid a denominator of 0.

[0013] Preferably, a window is set with each peak position as the center, and all vibration signal intensities in the window form the window sequence of each peak position.

[0014] Preferably, the chaotic degree of the first-order difference sequence of the jth peak position window sequence is the approximate entropy of the first-order difference sequence.

[0015] Preferably, the noise interference degrees of all peak positions in the vibration intensity sequence are subjected to density peak clustering to obtain the local density corresponding to the noise interference degree of each peak position and the truncated data set within the range of the cutoff distance.

[0016] Preferably, the noise confidence of each peak position is further obtained as follows: ; wherein, is the noise confidence of the jth peak position, is the local density corresponding to the jth peak position, is the noise interference degree of the jth peak position, is the kth element in the truncated data set corresponding to the jth peak position, is a constant to avoid a denominator of 0.

[0017] Preferably, the method for correcting each peak in the vibration intensity sequence is: ; wherein, the corrected peak of the jth peak position in the vibration intensity sequence, is the clutter confidence of the jth peak position, is the jth peak in the vibration intensity sequence, is the maximum value normalization function.

[0018] Preferably, the peak position corresponding to the maximum corrected peak in the vibration intensity sequence of each target calibration point is counted respectively, and recorded as the maximum sharp peak position in the vibration intensity sequence of each target calibration point. The cable skin length corresponding to the maximum sharp peak position in the vibration intensity sequence of each target calibration point in the vibration signal curve is taken as the cable skin length of each target calibration point.

[0019] The embodiment of the present application also provides an optical cable routing calibration system based on an optical cable routing census instrument, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the optical cable routing calibration method based on the optical cable routing census instrument.

[0020] As can be seen from the above, the optical cable routing calibration method and system based on the optical cable routing census instrument provided by the present application have at least the following beneficial effects:

[0021] The present application accurately measures the clutter interference characteristics of the vibration signal intensity in the local window of each peak position by considering the confusion degree and the change difference of the random fluctuation of the window sequence of each peak position, more clearly shows the clutter interference of each peak affected by external noise, and is beneficial to subsequent avoidance of the adverse effects of the clutter interference of the external environment on the identification of the cable skin length of the target calibration point.

[0022] Further, the present application accurately measures the credibility of the clutter interference of each peak position in the vibration intensity sequence by using the DPC density peak clustering algorithm to obtain the local density of the clutter interference degree of each peak position and the truncated data set within the truncation distance range, which is beneficial to subsequent more accurate correction of each peak in the vibration intensity sequence and improvement of the accuracy of the identification of the cable skin length of the target calibration point.

[0023] The present application accurately corrects each peak in the vibration intensity sequence by the clutter confidence of each peak position in the vibration intensity sequence, so that the peak formed by the calibration personnel using the steel plate hand to knock the optical cable pipeline, well lid or bearing cable at the target calibration point is more prominent, so that the cable skin length of the corresponding target calibration point can be more accurately determined through the corrected maximum peak, and the accuracy of the optical cable routing calibration of the optical cable communication line is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed in the embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0025] Figure 1 The step flow chart of the optical cable routing calibration method based on the optical cable routing census instrument provided by the present application is shown in the following figure.

[0026] Figure 2 The block diagram of the optical cable routing calibration system provided by the embodiments of the present application is shown in the following figure. DETAILED DESCRIPTION

[0027] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purposes, the specific embodiments, structures, features and effects of the optical cable routing calibration method and system based on the optical cable routing census instrument according to the present application are described in detail as follows by combining with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0028] Unless otherwise defined and limited, such as the terms "comprise", "include" or any other variants thereof, are intended to cover non-exclusive inclusion, so that the circuit structure, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such article or device. Without more limitation, the element limited by the statement "including one" does not exclude the presence of another identical element in the article or device including the element. In addition, the term "and / or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as understood by those skilled in the art of the technology to which the present application belongs.

[0029] The specific scheme of the optical cable routing calibration method and system based on the optical cable routing census instrument provided by the present application is described in detail below in combination with the drawings.

[0030] Please refer to Figure 1 The step flow chart of the optical cable routing calibration method based on the optical cable routing census instrument provided by the present application is shown in the following figure, which includes the following steps:

[0031] Step 1: Obtain the vibration intensity sequence, GPS positioning coordinates, and geographical position name of each target calibration point in the cable duct channel of the to-be-tested optical cable.

[0032] First, in the communication room, connect the tail fiber of the optical cable route survey instrument with OTDR function (Optical Time-Domain Reflectometer) with the to-be-tested optical cable, and establish the vibration detection channel of the optical cable route survey instrument; then the calibration personnel use a steel plate to knock the optical cable pipeline, manhole cover or cable bearing at each calibration point, identify all target calibration points in the cable duct channel of the to-be-tested optical cable through the optical cable route survey instrument, and obtain the vibration signal curve of each target calibration point through the vibration detection channel of the optical cable route survey instrument, wherein the abscissa of the vibration signal curve is the cable skin length, and the ordinate is the vibration signal intensity, wherein the identification of the target calibration point and the acquisition of the vibration signal curve are known technologies, and the specific process will not be described here.

[0033] Further, arrange all vibration signal intensities in the vibration signal curve in order from small to large according to the cable skin length, to obtain the vibration intensity sequence of each target calibration point in the cable duct channel of the to-be-tested optical cable, at the same time, the calibration personnel obtain the GPS positioning coordinates and geographical position name of each target calibration point through the GPS locator, and transmit the vibration intensity sequence, GPS positioning coordinates and geographical position name of each target calibration point in the cable duct channel of the to-be-tested optical cable to the server through data transmission.

[0034] At this point, the vibration intensity sequence, GPS positioning coordinates, and geographical position name of each target calibration point in the cable duct channel of the to-be-tested optical cable are obtained in the server.

[0035] Step 2: According to the random characteristics of the change of each peak local vibration signal intensity in the vibration intensity sequence of each target calibration point, obtain the clutter interference degree of each peak position.

[0036] Generally, the cable skin length corresponding to the position of the largest peak in the vibration signal curve can be used as the cable skin length of the corresponding target calibration point, but the vibration signal formed on the target calibration point will be affected by the noise interference in the external environment, resulting in the phenomenon of clutter interference on the vibration signal, which affects the accuracy of identifying the cable skin length of each target calibration point. Therefore, in order to more accurately calibrate the optical cable communication line, it is necessary to accurately eliminate the clutter interference characteristics in the vibration signal and improve the accuracy of identifying the cable skin length of each target calibration point.

[0037] In order to extract the vibration signal features of all peak positions in the vibration signal curve, the vibration intensity sequence of each target calibration point is taken as the input of the APMD peak detection algorithm (Adaptive Multi-scale Morphological Peak Detection), and all peaks in the vibration intensity sequence are obtained by the APMD peak detection algorithm. The APMD peak detection algorithm is a known technology, and the specific process is not described again.

[0038] Generally, if the chaotic degree of the random fluctuation of the vibration signal intensity in the local window of the peak position in the vibration intensity sequence is higher, and the difference of the random fluctuation is smaller, the peak position is less likely to have the vibration signal feature formed by the calibration personnel using the steel plate to knock the optical cable pipeline, well lid or bearing cable at the target calibration point, and more likely to be the peak formed by the clutter interference affected by the external environment.

[0039] Meanwhile, if the formation of a peak in the vibration intensity sequence is formed by the calibration personnel using the steel plate to knock the optical cable pipeline, well lid or bearing cable at the target calibration point, the vibration signal intensity in the local window of the peak position will present an impact-attenuation waveform feature, the waveform feature has obvious regularity change, and the fluctuation difference of the vibration signal intensity is higher, which can be compared with the clutter interference feature affected by the external environment.

[0040] Therefore, a window is set at the center of each peak position in the vibration intensity sequence, the preset window size is 1x101 in this embodiment, the sequence composed of all elements in the window is recorded as the window sequence of each peak position in the vibration intensity sequence, and if there is a missing value in the sliding window, the missing value is completed by the mean filling method. The mean filling is a known technology, and the specific process is not described again.

[0041] Further, in this embodiment, the clutter interference degree of each peak position in the vibration intensity sequence is calculated according to the change randomness and change distribution characteristics of the vibration signal intensity in the sliding window of each peak position.

[0042] Preferably, the specific calculation relationship of the clutter interference degree of each peak position is: In the formula, is the clutter interference degree of the jth peak position, is the chaotic degree of the first-order difference sequence of the window sequence of the jth peak position, is the mean value of the absolute values of all elements in the first-order difference sequence of the window sequence of the jth peak position, is a constant to avoid the denominator being 0, and the value is taken in a small data range (0.01, 0.1), the influence on the calculation result is small and can be ignored, and the value is 0.05 in this embodiment.

[0043] The degree of disorder can be measured by approximate entropy or sample entropy. In this embodiment, approximate entropy is used to measure the degree of disorder.

[0044] As can be understood from the above process, the clutter interference degree reflects the magnitude of the clutter interference characteristics in the local vibration signal intensity at each peak position. The greater the clutter interference degree, the greater the clutter interference characteristics appearing in the local window at the corresponding peak position. Therefore, the peak is more likely to be caused by noise interference in the external environment, and the fiber optic cable length of the target calibration point cannot be accurately identified through the peak position.

[0045] Step 3: By analyzing the local distribution characteristics of clutter interference at each peak position and the differences in clutter interference, the clutter confidence level at each peak position is obtained, so as to correct each peak in the vibration intensity sequence.

[0046] Furthermore, in order to accurately identify the fiber optic cable sheath length of each target calibration point, the clutter interference at all peak positions in the vibration intensity sequence is used as the input of the Density Peaks Clustering (DPC) algorithm. The selection rule for the cutoff distance is: the number of data points within the cutoff distance range of each data point accounts for 1%-2% of the total number of data points. In this embodiment, the cutoff distance when the number of data points within the cutoff distance range of each data point accounts for 2% of the total number of data points is selected as the preset cutoff distance in the algorithm. The local density of clutter interference at each peak position in the vibration intensity sequence and the cutoff data set within the cutoff distance range are obtained through the DPC density peaks clustering algorithm. In this embodiment, these are denoted as the local density and cutoff data set corresponding to each peak position in the vibration intensity sequence. The DPC density peaks clustering algorithm is a well-known technology, and the specific process will not be described in detail.

[0047] Typically, peak characteristics formed due to clutter interference have a certain degree of similarity, resulting in a high local density of clutter interference at these peak locations. However, peak characteristics formed by calibration personnel tapping the optical cable duct, manhole cover, or carrying cable at the target calibration point with a steel wrench have significant differences from other peak characteristics, resulting in a lower local density of clutter interference at these peak locations.

[0048] Therefore, in this embodiment, based on the above analysis process, the clutter confidence level at each peak position in the vibration intensity sequence is calculated: In the formula, Let J be the clutter confidence level at the j-th peak position. a local density corresponding to the jth peak position, a clutter interference degree of the jth peak position, a kth element in a truncated data set corresponding to the jth peak position.

[0049] Wherein, the clutter confidence reflects the credibility of each peak position in the vibration intensity sequence being interfered by the clutter, the greater the clutter confidence, the more likely the vibration signal intensity at the peak position is affected by the clutter interference, which will affect the accuracy of identifying the cable skin length of the target calibration point.

[0050] In order to eliminate the adverse effects of clutter interference of external noise on the identification of cable skin length of the target calibration point, it is necessary to correct each peak in the vibration intensity sequence through the clutter confidence of each peak position in the vibration intensity sequence, wherein the greater the clutter confidence of the peak position, the more likely the peak is affected by external clutter interference, so the greater the correction strength of the peak in the vibration intensity sequence; on the contrary, the smaller the clutter confidence of the peak position, the more likely the peak is formed by the calibration personnel using the steel plate hand to knock the cable pipeline, manhole or bearing cable at the calibration point, so the smaller the correction strength of the peak in the vibration intensity sequence.

[0051] Further, in the embodiment, each peak is corrected based on the clutter confidence of each peak position in the vibration intensity sequence, and the corrected peak value of each peak position in the vibration intensity sequence is calculated: ; In the formula, the corrected peak value of the jth peak position in the vibration intensity sequence, is the jth peak in the vibration intensity sequence, is the maximum value normalization function.

[0052] By correcting each peak in the vibration intensity sequence accurately through the clutter confidence of each peak position in the vibration intensity sequence, the peak formed by the calibration personnel using the steel plate hand to knock the cable pipeline, manhole or bearing cable at the target calibration point is more prominent, so that the cable skin length corresponding to the target calibration point can be determined more accurately through the corrected maximum peak.

[0053] Step 4: Determine the cable skin length of each target calibration point based on the corrected maximum peak, and complete the cable routing calibration through the cable skin length, GPS positioning coordinates and geographical position name of each target calibration point in the pipe gallery channel of the cable to be measured.

[0054] In order to more accurately identify the cable skin length of each target calibration point, the peak position corresponding to the maximum correction peak value in the vibration intensity sequence of each target calibration point is counted, which is recorded as the maximum peak position in the vibration intensity sequence of each target calibration point in this embodiment, and the cable skin length corresponding to the maximum peak position in the vibration signal curve is taken as the cable skin length of each target calibration point.

[0055] Further, the GPS positioning coordinates and geographical position names of each target calibration point in the pipe gallery channel of the to-be-tested optical cable are imported into a GIS geographic information system, the cable routing direction drawing of the to-be-tested optical cable is drawn through the GIS geographic information system, and a corresponding relationship table between the cable skin length of each target calibration point and the geographical position name is prepared, so that the point-to-point correspondence between the cable skin length and the geographical position on the to-be-tested optical cable is realized, and the cable routing calibration of the to-be-tested optical cable is completed.

[0056] Based on the same inventive concept as the above method, the embodiments of the present application also provide an optical cable routing calibration system based on an optical cable routing census instrument, which comprises a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the optical cable routing calibration method based on the optical cable routing census instrument according to any one of the above embodiments when executing the computer program.

[0057] Preferably, in this embodiment, the optical cable routing calibration system block diagram is as shown in Figure 2 The optical cable routing calibration system in this embodiment comprises a data acquisition module, a clutter analysis module, a peak correction module, and an optical cable skin length identification and routing calibration module.

[0058] The data acquisition module is used to acquire the vibration intensity sequence, the GPS positioning coordinates, and the geographical position name of each target calibration point in the pipe gallery channel of the to-be-tested optical cable; the clutter analysis module is used to obtain the clutter interference degree of each peak position according to the random characteristics of the change of the local vibration signal intensity of each peak value in the vibration intensity sequence of each target calibration point; the peak correction module is used to obtain the clutter confidence of each peak position through the local distribution characteristics of the clutter interference degree of each peak position and the difference of the clutter interference degrees, so as to correct each peak value in the vibration intensity sequence; and the optical cable skin length identification and routing calibration module is used to determine the cable skin length of each target calibration point based on the maximum peak value after correction, and complete the optical cable routing calibration through the cable skin length, the GPS positioning coordinates, and the geographical position name of each target calibration point in the pipe gallery channel of the to-be-tested optical cable.

[0059] It can be understood that the above-mentioned embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments. And the above describes specific embodiments of the present specification. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0060] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the difference from other embodiments.

[0061] The above is only an embodiment of the present application, and is not used to limit the scope of the present application. Any equivalent structure or equivalent process transformation using the content of the present application specification and drawings, or direct or indirect application in other related technical fields, is also included in the protection scope of the present application.

Claims

1. An optical cable routing calibration method based on an optical cable routing surveyor, characterized by, The method comprises the following steps: Obtaining the vibration intensity sequence, GPS positioning coordinates and geographical position name of each target calibration point in the cable duct channel to be measured; According to the random characteristics of the change of the local vibration signal intensity of each peak value in the vibration intensity sequence of each target calibration point, the clutter interference degree of each peak value position is obtained; Through the local distribution characteristics of the clutter interference degree of each peak value position and the difference of the clutter interference degree, the clutter confidence of each peak value position is obtained to correct each peak value in the vibration intensity sequence; Based on the corrected maximum peak value, the cable skin length of each target calibration point is determined, and the cable routing calibration is completed through the cable skin length, GPS positioning coordinates and geographical position name of each target calibration point in the cable duct channel to be measured.

2. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 1, wherein, The target calibration points in the cable duct channel to be measured are identified by the optical cable routing census instrument, and the vibration signal curve graph of each target calibration point is obtained through the vibration detection channel of the optical cable routing census instrument, wherein the abscissa of the vibration signal curve graph is the cable skin length, and the ordinate is the vibration signal intensity. The vibration signal intensity in the vibration signal curve graph is arranged in ascending order of the cable skin length to form the vibration intensity sequence of each target calibration point.

3. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 1, wherein, The acquisition of the clutter interference degree of each peak position is further: ; in the formula, The clutter interference degree of the jth peak position, The clutter interference degree of the first-order difference sequence of the jth peak position window sequence, The mean value of the absolute value of all elements in the first-order difference sequence of the jth peak position window sequence, It is a constant to avoid the denominator being 0.

4. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 3, wherein, A window is set at the center of each peak value position, and all the vibration signal intensities in the window form the window sequence of each peak value position.

5. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 3, wherein, The confusion degree of the first-order difference sequence of the jth peak value position window sequence is the approximate entropy of the first-order difference sequence.

6. The optical fiber cable routing surveying method based on the optical cable routing surveying instrument according to claim 1, wherein, The density peak clustering is performed on the clutter interference degrees of all the peak value positions in the vibration intensity sequence to obtain the local density corresponding to the clutter interference degree of each peak value position and the truncated data set within the range of the cutoff distance.

7. The optical fiber cable routing surveying method based on the optical cable routing surveying instrument according to claim 6, wherein, The acquisition of the clutter confidence of each peak position further comprises: ; wherein, is the clutter confidence of the jthpeak position, is the local density corresponding to the jthpeak position, is the clutter interference degree of the jthpeak position, is the kthelement in the truncated data set corresponding to the jthpeak position, is a constant to avoid the denominator being 0.

8. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 1, wherein, The method for correcting each peak in the vibration intensity sequence is: ; wherein, the corrected peak of the jth peak position in the vibration intensity sequence, is the clutter confidence of the jth peak position, is the jth peak in the vibration intensity sequence, is the maximum value normalization function.

9. The optical cable routing surveying method based on the optical cable routing surveying instrument according to claim 8, wherein, The peak value position corresponding to the maximum corrected peak value in the vibration intensity sequence of each target calibration point is respectively counted, which is recorded as the maximum sharp peak position in the vibration intensity sequence of each target calibration point, and the cable skin length corresponding to the maximum sharp peak position in the vibration signal curve graph of each target calibration point is taken as the cable skin length of each target calibration point.

10. An optical cable routing calibration system based on an optical cable routing surveyor, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, The processor executes the computer program to realize the steps of the optical cable routing calibration method based on the optical cable routing census instrument according to any one of claims 1-9.

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