Optical fiber conduction performance detection method and system based on vibration pickup signal analysis

Abstract

The invention discloses an optical fiber conduction performance detection method and system based on vibration pick-up signal analysis, and aims to improve the detection efficiency and accuracy of an optical fiber sensing system. The method comprises the following steps: firstly, constructing an optical fiber sensing system simulation model, and identifying a to-be-detected optical fiber section; vibration characteristics are extracted by acquiring vibration signals of a target optical fiber section, real-time optical fiber conduction performance detection data and optical signal drop point information. Then, combining actual optical fiber conduction performance data, determining the sensitivity of the detection equipment to different optical signal drop points, and constructing an optical signal drop point prediction model; and determining the detection time of the optical fiber conduction performance according to the predicted drop point information and the performance detection sensitivity data, and finally making an optical fiber conduction performance detection scheme. According to the method, the accuracy and efficiency of optical fiber performance detection are improved.

Description

Technical Field

[0001] The present invention relates to the field of optical fiber sensing technology, and in particular to an optical fiber transmission performance detection method and system based on vibration pickup signal analysis. Background Art

[0002] With the widespread application of fiber optic technology, fiber optic sensing systems play an important role in communications, security, industrial monitoring and other fields. As the core carrier of information transmission, the transmission performance of optical fiber directly affects the overall operation of the system and the stability of data transmission. Therefore, the detection and maintenance of optical fiber transmission performance has become a key link to ensure the normal operation of the optical fiber sensing system. However, traditional optical fiber transmission performance detection methods often rely on the basic performance parameters of optical signal transmission, such as attenuation coefficient, reflection loss, etc., and are usually performed through fixed time interval detection. This may not be able to timely and accurately reflect the actual transmission status of the optical fiber when facing complex external interference and changes in the equipment operating environment.

[0003] In addition, during operation, the fiber optic sensing system is often affected by factors such as environmental vibration and mechanical shock. These external disturbances will have a significant impact on the fiber optic transmission performance. In particular, the change in vibration is often closely related to the detection accuracy of the fiber optic transmission performance detection equipment during the detection of the fiber optic transmission performance. Therefore, how to accurately detect the fiber optic transmission performance by analyzing the fiber optic vibration characteristics has become a difficulty and research hotspot in current technology.

[0004] Existing detection methods mainly rely on the direct acquisition and analysis of optical fiber signals, ignoring the complex relationship between vibration signals and optical fiber transmission performance detection, resulting in certain limitations on the sensitivity and accuracy of the detection results. Therefore, a new detection method is urgently needed that can effectively combine the data of optical fiber transmission performance through the analysis of vibration pickup signals to provide a more accurate performance detection solution to improve the monitoring effect and work efficiency of the optical fiber sensing system. Summary of the invention

[0005] In order to solve at least one of the above technical problems, the present invention proposes a method and system for detecting optical fiber transmission performance based on vibration pickup signal analysis.

[0006] A first aspect of the present invention provides a method for detecting optical fiber transmission performance based on vibration pickup signal analysis, comprising:

[0007] Constructing a fiber optic sensing system simulation model of a target device, and identifying a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model;

[0008] Obtain vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data;

[0009] Acquire actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtain performance detection sensitivity data;

[0010] Building an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information;

[0011] The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

[0012] In this solution, the fiber optic sensing system simulation model of the target device is constructed, and the fiber optic sensing system fiber optic sensing system segment to be detected is identified according to the fiber optic sensing system simulation model, specifically:

[0013] Obtaining optical fiber transmission path information and optical fiber signal transmission characteristic data of the optical fiber sensing system of the target device, wherein the optical fiber signal transmission characteristic data includes an optical signal attenuation coefficient, a reflection coefficient, a signal transmission delay data, and a chromatic dispersion data during the transmission process of the optical fiber;

[0014] According to the optical fiber signal transmission characteristic data, an optical signal attenuation sub-model, a reflection loss sub-model, a signal transmission delay sub-model, and a chromatic dispersion sub-model of the optical fiber sensing system are respectively constructed;

[0015] Constructing a physical model of the optical fiber sensing system of the target device according to the optical fiber transmission path information, integrating the optical signal attenuation sub-model, the reflection loss sub-model, the signal transmission delay sub-model, the chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the optical fiber sensing system of the target device;

[0016] Acquire in real time the initial optical signal data of the optical signal emitted by the optical fiber sensing system of the target device, wherein the initial optical signal data includes the optical signal intensity, the optical signal reflection intensity, and the chromatic dispersion value;

[0017] Performing optical signal simulation transmission on the initial optical signal data based on the optical fiber sensing system simulation model, obtaining simulated optical signal data at a preset position of the optical fiber sensing system during the optical signal simulation transmission process, and calibrating the data as standard transmission optical signal data;

[0018] Acquire actual transmission light signal data of a preset position of the optical fiber sensing system based on a photoelectric detector, compare the actual transmission light signal data with the standard transmission light signal data, and determine the degree of signal quality degradation when the initial light signal is transmitted to the preset position of the optical fiber sensing system;

[0019] According to the degree of signal quality degradation at a preset position of the optical fiber sensing system, the optical fiber segment in the optical fiber transmission system where the optical signal is abnormally transmitted is determined and marked as the optical fiber segment to be detected.

[0020] In this solution, the vibration signal data of the target optical fiber segment of the target device in the preset time period, the real-time optical fiber conduction performance detection data, and the optical signal landing point information during the optical fiber conduction performance detection process are obtained, and the vibration characteristics of the target optical fiber segment are extracted according to the vibration signal data, specifically:

[0021] Acquiring vibration signal data of a target optical fiber segment in an optical fiber sensing system of a target device during operation in a preset time period based on a vibration pickup sensor;

[0022] Based on the optical fiber transmission performance detection device, real-time optical fiber transmission performance detection data of the target optical fiber segment in a preset time period is obtained, and the optical signal landing point information collected by the optical fiber transmission performance detection device during the performance detection of the target optical fiber segment is obtained;

[0023] Extracting vibration signal characteristics of the target optical fiber segment in a preset time period according to the vibration signal data, wherein the vibration signal characteristics include maximum and minimum amplitude values, mean and variance, peak value, and periodic variation characteristics of the vibration signal;

[0024] The vibration characteristics of the target optical fiber segment in a preset time period are determined according to the vibration signal characteristics, wherein the vibration characteristics include the vibration intensity change characteristics and the vibration frequency change characteristics of the target optical fiber segment in the preset time.

[0025] In this solution, the actual optical fiber transmission performance data of the target optical fiber segment in the preset time period is obtained, and the performance detection sensitivity of the optical fiber transmission performance detection device to different optical signal landing points is determined according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and the performance detection sensitivity data is obtained, specifically:

[0026] Performing optical fiber conduction performance detection on the target optical fiber segment according to the real-time optical fiber conduction performance detection data to obtain a real-time optical fiber conduction performance detection result;

[0027] Acquire actual optical fiber transmission performance data of the target optical fiber segment in a preset time period, align the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information in the preset time period according to the timestamp, and construct a data matrix with the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information after the alignment operation to obtain an optical fiber transmission performance data matrix;

[0028] Calculating the Manhattan distance between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance of the target optical fiber segment at each time point according to the optical fiber conductivity performance data matrix, determining the performance deviation between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance according to the Manhattan distance, and obtaining the performance deviation data at each time point;

[0029] The performance deviation data at each time point is formed into a one-to-one correspondence with the optical signal landing point information to form a performance deviation-optical signal landing point mapping data set;

[0030] The DBSCAN clustering algorithm is introduced to perform clustering operation on the performance deviation data, and the neighborhood radius ε and the minimum number of points MinPts of the DBSCAN clustering algorithm are set. For each data point in the performance deviation data, each data point is marked as unvisited based on the DBSCAN clustering algorithm, a data point is randomly selected for access, and the data point that enters the access state is marked as data point p;

[0031] Find all the data points in the ε neighborhood of data point p. If the number of points in the ε neighborhood of data point p is not less than MinPts, mark the data point p as a core point, create a new cluster C, and add the data point p and all the data points in the ε neighborhood of data point p to cluster C. If the number of points in the ε neighborhood of data point p is less than MinPts, mark the data point p as a noise point.

[0032] For each data point q added to cluster C, if the data point q is a core point, the data points in the ε neighborhood of the data point q continue to be added to cluster C, and the determination of whether the data point in cluster C is a core point and the data points in the ε neighborhood are repeatedly added until there are no new data points added to cluster C;

[0033] Randomly select an unvisited data point from the performance deviation data to perform core point judgment and add ε neighborhood data points until all data points in the performance deviation data are visited and the clustering result is obtained;

[0034] According to the performance deviation-optical signal landing point mapping data set, each cluster in the clustering result is analyzed to determine the distribution of optical signal landing points of each cluster, and the performance detection sensitivity of the optical fiber transmission performance detection equipment to different optical signal landing points is determined according to the distribution of optical signal landing points of each cluster to obtain performance detection sensitivity data.

[0035] In this solution, the optical signal landing point prediction model is constructed according to the vibration characteristics and the optical signal landing point data, and the real-time optical signal landing point of the optical fiber segment to be detected is predicted according to the optical signal landing point prediction model to obtain the predicted landing point information, which is specifically:

[0036] Constructing an optical signal landing prediction model based on a random forest algorithm, analyzing the vibration characteristics in the optical fiber conduction performance data matrix and the optical signal landing data array according to the random forest algorithm, and determining model parameters of the optical signal landing prediction model, wherein the model parameters include the number of decision trees, the maximum depth of the decision tree, the minimum number of samples required for node splitting, the minimum number of samples required for leaf nodes, and the maximum number of features used for each split;

[0037] A sample set is extracted from the vibration characteristics and the light signal landing point data array based on a self-help method to construct a decision tree, a light signal landing point prediction model is trained based on the decision tree, and a split operation is performed on the decision tree to obtain a trained light signal landing point prediction model;

[0038] Real-time vibration signal data of the optical fiber segment to be detected in a preset monitoring time period is obtained, real-time vibration characteristics are extracted according to the real-time vibration signal data, and the real-time vibration characteristics are imported into the optical signal landing point prediction model to predict the real-time optical signal landing point of the optical fiber segment to be detected in the preset monitoring time period to obtain predicted landing point information.

[0039] In this solution, the optical fiber transmission performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber transmission performance detection solution of the optical fiber sensing system of the target device is obtained, which is specifically:

[0040] Analyze the predicted landing point information of the optical fiber segment to be detected in the preset monitoring time period according to the performance detection sensitivity data, determine the performance detection sensitivity at each time point in the preset monitoring time period, and draw a performance detection sensitivity change curve chart for the performance detection sensitivity at each time point;

[0041] Evaluate the performance detection accuracy of the preset monitoring time period according to the performance detection sensitivity change curve diagram to obtain a performance detection accuracy change curve diagram for the preset monitoring time period;

[0042] Determine the performance detection accuracy change trend of the optical fiber transmission performance detection device for detecting the optical fiber transmission performance of the optical fiber segment to be detected according to the performance detection accuracy change curve diagram;

[0043] Identify a high-accuracy time interval for the optical fiber transmission performance detection device to perform performance detection on the optical fiber segment to be detected according to the performance detection accuracy change trend;

[0044] The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the high-accuracy time interval, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

[0045] The second aspect of the present invention further provides an optical fiber conductive performance detection system based on vibration pickup signal analysis, the system comprising: a memory, a processor, the memory comprising an optical fiber conductive performance detection method program based on vibration pickup signal analysis, and when the optical fiber conductive performance detection method program based on vibration pickup signal analysis is executed by the processor, the following steps are implemented:

[0046] Constructing a fiber optic sensing system simulation model of a target device, and identifying a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model;

[0047] Obtain vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data;

[0048] Acquire actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtain performance detection sensitivity data;

[0049] Building an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information;

[0050] The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

[0051] The present invention discloses a method and system for detecting the conduction performance of optical fibers based on vibration pickup signal analysis, aiming to improve the detection efficiency and accuracy of optical fiber sensing systems. The method first constructs a simulation model of the optical fiber sensing system to identify the optical fiber segment to be detected; and extracts vibration characteristics by acquiring the vibration signal of the target optical fiber segment, real-time optical fiber conduction performance detection data, and optical signal landing point information. Then, combined with the actual optical fiber conduction performance data, the sensitivity of the detection equipment to different optical signal landing points is determined, and an optical signal landing point prediction model is constructed. Based on the predicted landing point information and performance detection sensitivity data, the detection time of the optical fiber conduction performance is determined, and finally an optical fiber conduction performance detection plan is formulated. This method improves the accuracy and efficiency of optical fiber performance detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A flow chart showing a method for detecting optical fiber transmission performance based on vibration pickup signal analysis of the present invention is shown;

[0053] Figure 2 A flow chart of obtaining predicted landing point information according to the present invention is shown;

[0054] Figure 3 A flow chart showing a scheme for detecting the transmission performance of optical fibers according to the present invention is shown;

[0055] Figure 4 A block diagram of an optical fiber transmission performance detection system based on vibration pickup signal analysis of the present invention is shown. DETAILED DESCRIPTION

[0056] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0057] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0058] Figure 1 The flowchart of the optical fiber transmission performance detection method based on the vibration pickup signal analysis of the present invention is shown.

[0059] like Figure 1 As shown, the first aspect of the present invention provides a method for detecting optical fiber transmission performance based on vibration pickup signal analysis, comprising:

[0060] S102, constructing a simulation model of the optical fiber sensing system of the target device, and identifying the optical fiber segment to be detected of the optical fiber sensing system according to the simulation model of the optical fiber sensing system;

[0061] S104, obtaining vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extracting vibration characteristics of the target optical fiber segment according to the vibration signal data;

[0062] S106, obtaining actual optical fiber transmission performance data of the target optical fiber segment during a preset time period, determining the performance detection sensitivity of the optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtaining performance detection sensitivity data;

[0063] S108, constructing an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information;

[0064] S110, determining the optical fiber transmission performance detection time of the optical fiber segment to be detected according to the predicted landing point information and the performance detection sensitivity data, and obtaining the optical fiber transmission performance detection scheme of the optical fiber sensing system of the target device.

[0065] It should be noted that, in the fiber optic sensing system of the target device, the fiber optic transmission performance detection only needs to detect the abnormal fiber segment. By constructing a fiber optic sensing system simulation model and simulating the working signal transmission state of the fiber optic sensing system of the target device in real time, the abnormal fiber segment to be detected is identified, thereby providing a targeted detection area, reducing the scope of blind detection, and improving detection efficiency. The fiber optic transmission performance detection equipment is to project an optical signal onto the optical detector inside the device, and then extract the optical signal for performance detection. Since the optical detector has different recognition sensitivities to the optical signal at different positions, the higher the recognition sensitivity, the higher the accuracy of the fiber optic transmission performance detection. Since the fiber optic sensing system of the target device is arranged in the target device, the operation of the target device will cause the vibration of the optical fiber. The presence of vibration will cause slight displacement and deformation of the optical fiber, thereby changing the refractive index inside the optical fiber and the optical signal propagation path. Such changes may cause attenuation, reflection and scattering of optical signals during transmission, ultimately affecting the landing point of the optical signal on the optical detector; by determining the performance detection sensitivity of the optical fiber conduction performance detection equipment to different optical signal landing points, and extracting the vibration characteristics and optical signal landing point information based on the vibration signal of the target optical fiber segment, an optical signal landing point prediction model is constructed to predict the predicted landing point of the optical fiber segment to be detected under different vibration characteristics, and then the detection time of the optical fiber conduction performance is determined according to the predicted landing point information and performance detection sensitivity data to form a detection plan; the detection plan enables the optical fiber conduction performance detection equipment to perform performance detection when the optical fiber signal landing point is in the most sensitive area of ​​the photoelectric detector, which greatly improves the accuracy of the light efficiency conduction performance detection and reduces the detection error; the vibration pickup signal is the vibration signal obtained by the vibration pickup device.

[0066] According to an embodiment of the present invention, the construction of a fiber optic sensing system simulation model of a target device and the identification of a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model are specifically as follows:

[0067] Obtaining optical fiber transmission path information and optical fiber signal transmission characteristic data of the optical fiber sensing system of the target device, wherein the optical fiber signal transmission characteristic data includes an optical signal attenuation coefficient, a reflection coefficient, a signal transmission delay data, and a chromatic dispersion data during the transmission process of the optical fiber;

[0068] According to the optical fiber signal transmission characteristic data, an optical signal attenuation sub-model, a reflection loss sub-model, a signal transmission delay sub-model, and a chromatic dispersion sub-model of the optical fiber sensing system are respectively constructed;

[0069] Constructing a physical model of the optical fiber sensing system of the target device according to the optical fiber transmission path information, integrating the optical signal attenuation sub-model, the reflection loss sub-model, the signal transmission delay sub-model, the chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the optical fiber sensing system of the target device;

[0070] Acquire in real time the initial optical signal data of the optical signal emitted by the optical fiber sensing system of the target device, wherein the initial optical signal data includes the optical signal intensity, the optical signal reflection intensity, and the chromatic dispersion value;

[0071] Performing optical signal simulation transmission on the initial optical signal data based on the optical fiber sensing system simulation model, obtaining simulated optical signal data at a preset position of the optical fiber sensing system during the optical signal simulation transmission process, and calibrating the data as standard transmission optical signal data;

[0072] Acquire actual transmission light signal data of a preset position of the optical fiber sensing system based on a photoelectric detector, compare the actual transmission light signal data with the standard transmission light signal data, and determine the degree of signal quality degradation when the initial light signal is transmitted to the preset position of the optical fiber sensing system;

[0073] According to the degree of signal quality degradation at a preset position of the optical fiber sensing system, the optical fiber segment in the optical fiber transmission system where the optical signal is abnormally transmitted is determined and marked as the optical fiber segment to be detected.

[0074] It should be noted that by constructing a sub-model of the optical fiber transmission characteristics, and then integrating the sub-model with the physical model of the optical fiber to construct a fiber optic sensing system simulation model of the target device, the initial optical signal data emitted in the optical fiber sensing system is simulated by constructing an accurate optical fiber sensing system simulation model to determine the optical signal data when the optical signal is transmitted to the preset position. At this time, the simulated optical signal data obtained is the standard transmission optical signal data obtained under normal optical signal transmission. The actual transmission optical signal data is obtained in the optical fiber sensing system of the target device through a photoelectric detector. By comparing the data with the standard transmission optical signal data, it is possible to identify the position of the optical fiber segment where the optical signal transmission abnormality occurs. By comparing the actual transmission optical signal data with the standard transmission optical signal data, the position of the optical fiber segment where the optical signal transmission abnormality occurs can be quickly identified. This rapid identification capability greatly improves the efficiency of fault location; the target device is a device that collects data through an optical fiber sensor and transmits data through an optical fiber, such as a pipeline pressure monitoring device, an industrial equipment health monitoring system, etc.; the optical fiber sensing system is a fiber optic sensing system composed of an optical fiber sensor and an optical fiber network connecting the optical fiber sensors; the optical signal attenuation sub-model, reflection loss sub-model, signal transmission delay sub-model, and chromatic dispersion sub-model are models obtained by calculating the loss value of each optical fiber signal conduction characteristic data after passing through a unit length of optical fiber; for example, assuming that the loss rate of the optical signal attenuation sub-model after passing through a unit length of optical fiber is 0.1%, if the initial optical signal strength is 10 decibels, the signal strength after passing through a unit length is 9.9 decibels, and the unit length is 1 meter; there are multiple preset positions, which are evenly distributed in the optical fiber sensing system; the optical signal data includes optical signal strength, optical signal reflection strength, chromatic dispersion value, and signal delay time.

[0075] According to an embodiment of the present invention, the vibration signal data of the target optical fiber segment of the target device in the preset time period, the real-time optical fiber conduction performance detection data, and the optical signal landing point information during the optical fiber conduction performance detection process are obtained, and the vibration characteristics of the target optical fiber segment are extracted according to the vibration signal data, specifically:

[0076] Acquiring vibration signal data of a target optical fiber segment in an optical fiber sensing system of a target device during operation in a preset time period based on a vibration pickup sensor;

[0077] Based on the optical fiber transmission performance detection device, real-time optical fiber transmission performance detection data of the target optical fiber segment in a preset time period is obtained, and the optical signal landing point information of the optical signal collected by the optical fiber transmission performance detection device during the performance detection of the target optical fiber segment is obtained;

[0078] Extracting vibration signal characteristics of the target optical fiber segment in a preset time period according to the vibration signal data, wherein the vibration signal characteristics include maximum and minimum amplitude values, mean and variance, peak value, and periodic variation characteristics of the vibration signal;

[0079] The vibration characteristics of the target optical fiber segment in a preset time period are determined according to the vibration signal characteristics, wherein the vibration characteristics include the vibration intensity change characteristics and the vibration frequency change characteristics of the target optical fiber segment in the preset time.

[0080] It should be noted that, through the coordinated work of the vibration pickup sensor and the optical fiber transmission performance detection equipment, the method can simultaneously collect vibration signal data and optical fiber transmission performance detection data. By analyzing the correlation between the vibration signal and the optical fiber signal transmission performance, the impact of vibration on the optical fiber transmission performance can be more accurately evaluated; by extracting the characteristics of the vibration signal (including amplitude, mean, variance, peak value, etc.), the vibration change of the optical fiber segment in a specific time period can be effectively identified, and vibration is often a precursor to optical fiber damage or performance degradation. By real-time monitoring of the vibration characteristics of the optical fiber segment and combining and analyzing with the optical signal landing information, the method can detect the optical fiber performance problems caused by vibration in advance, thereby reducing communication interruptions caused by mechanical damage such as optical fiber wear and bending; the optical fiber transmission performance detection equipment includes an optical time domain reflectometer, a chromatic dispersion tester, an optical fiber loss tester, an optical power meter, etc.; the optical fiber transmission performance detection equipment picks up the optical signal through the photoelectric detector inside the equipment, and the optical signal landing information refers to the location information of the optical signal hitting the photoelectric signal detector inside the optical fiber transmission performance detection equipment.

[0081] According to an embodiment of the present invention, the actual optical fiber transmission performance data of the target optical fiber segment in the preset time period is obtained, and the performance detection sensitivity of the optical fiber transmission performance detection device to different optical signal landing points is determined according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information to obtain the performance detection sensitivity data, specifically:

[0082] Performing optical fiber conduction performance detection on the target optical fiber segment according to the real-time optical fiber conduction performance detection data to obtain a real-time optical fiber conduction performance detection result;

[0083] Acquire actual optical fiber transmission performance data of the target optical fiber segment in a preset time period, align the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information in the preset time period according to the timestamp, and construct a data matrix with the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information after the alignment operation to obtain an optical fiber transmission performance data matrix;

[0084] Calculating the Manhattan distance between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance of the target optical fiber segment at each time point according to the optical fiber conductivity performance data matrix, determining the performance deviation between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance according to the Manhattan distance, and obtaining the performance deviation data at each time point;

[0085] The performance deviation data at each time point is formed into a one-to-one correspondence with the optical signal landing point information to form a performance deviation-optical signal landing point mapping data set;

[0086] The DBSCAN clustering algorithm is introduced to perform clustering operation on the performance deviation data, and the neighborhood radius ε and the minimum number of points MinPts of the DBSCAN clustering algorithm are set. For each data point in the performance deviation data, each data point is marked as unvisited based on the DBSCAN clustering algorithm, a data point is randomly selected for access, and the data point that enters the access state is marked as data point p;

[0087] Find all the data points in the ε neighborhood of data point p. If the number of points in the ε neighborhood of data point p is not less than MinPts, mark the data point p as a core point, create a new cluster C, and add the data point p and all the data points in the ε neighborhood of data point p to cluster C. If the number of points in the ε neighborhood of data point p is less than MinPts, mark the data point p as a noise point.

[0088] For each data point q added to cluster C, if the data point q is a core point, the data points in the ε neighborhood of the data point q continue to be added to cluster C, and the determination of whether the data point in cluster C is a core point and the data points in the ε neighborhood are repeatedly added until there are no new data points added to cluster C;

[0089] Randomly select an unvisited data point from the performance deviation data to perform core point judgment and add ε neighborhood data points until all data points in the performance deviation data are visited and the clustering result is obtained;

[0090] According to the performance deviation-optical signal landing point mapping data set, each cluster in the clustering result is analyzed to determine the distribution of optical signal landing points of each cluster, and the performance detection sensitivity of the optical fiber transmission performance detection equipment to different optical signal landing points is determined according to the distribution of optical signal landing points of each cluster to obtain performance detection sensitivity data.

[0091] It should be noted that when the vibration of the target device causes the optical fiber to vibrate, the optical fiber signal caused by the vibration will hit different positions of the photoelectric detector in the optical fiber performance detection device. The detection sensitivity of different positions to the optical signal is different. In the area with low detection sensitivity, the performance detection of the optical signal of the optical fiber segment will result in performance detection deviation. Therefore, the real-time optical fiber transmission performance detection result is obtained by performing optical fiber transmission performance detection on the target optical fiber segment, and the actual optical fiber transmission performance data of the target optical fiber segment and the optical signal landing point information are obtained to construct a data matrix. The performance deviation data of different optical signal landing points are clustered by the DBSCAN clustering algorithm, which can effectively identify the sensitivity changes of optical fiber transmission performance at different optical signal landing points. Through the clustering results, the optical signal landing point where there is a large deviation between the optical fiber transmission performance and the actual performance can be accurately found. According to the analysis of the performance deviation-optical signal landing point mapping data set, the detection sensitivity of the optical fiber transmission performance detection device to certain specific optical signal landing points can be quickly located, so as to accurately identify the detection sensitivity of the photoelectric detector of the optical fiber transmission performance detection device to the optical signal at different positions; the higher the performance detection sensitivity, the lower the performance deviation.

[0092] Figure 2 A flow chart of obtaining predicted landing point information according to the present invention is shown.

[0093] According to an embodiment of the present invention, the optical signal landing point prediction model is constructed according to the vibration characteristics and the optical signal landing point data, and the real-time optical signal landing point of the optical fiber segment to be detected is predicted according to the optical signal landing point prediction model to obtain the predicted landing point information, specifically:

[0094] S202, constructing an optical signal landing prediction model based on a random forest algorithm, analyzing the vibration characteristics in the optical fiber transmission performance data matrix and the optical signal landing data array according to the random forest algorithm, and determining model parameters of the optical signal landing prediction model, wherein the model parameters include the number of decision trees, the maximum depth of the decision tree, the minimum number of samples required for node splitting, the minimum number of samples required for leaf nodes, and the maximum number of features used for each splitting;

[0095] S204, extracting a sample set from the vibration characteristics and the light signal landing point data array based on a bootstrap method to construct a decision tree, performing a training operation on the light signal landing point prediction model based on the decision tree, and performing a split operation on the decision tree to obtain a trained light signal landing point prediction model;

[0096] S206, obtaining real-time vibration signal data of the optical fiber segment to be detected in a preset monitoring time period, extracting real-time vibration features based on the real-time vibration signal data, importing the real-time vibration features into the optical signal landing point prediction model to predict the real-time optical signal landing point of the optical fiber segment to be detected in the preset monitoring time period, and obtaining predicted landing point information.

[0097] It should be noted that the random forest algorithm can effectively improve the accuracy and robustness of the model by integrating multiple decision trees for prediction. Each decision tree is trained with different sample sets, which reduces the overfitting problem that may occur in a single decision tree, making the prediction of the optical signal landing point more accurate, especially when processing complex optical fiber transmission performance data. By analyzing the complex relationship between vibration characteristics and optical signal landing points, the random forest model can accurately capture the impact of the vibration signal of the optical fiber segment on the optical signal landing point. This method can identify the actual distribution of the optical signal landing points of the optical fiber segment to be detected at different vibrations. By acquiring real-time vibration signal data, it can make real-time predictions of the optical signal landing point in the optical fiber sensing system.

[0098] Figure 3 A flow chart of the optical fiber transmission performance detection scheme of the present invention is shown.

[0099] According to an embodiment of the present invention, the optical fiber transmission performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber transmission performance detection scheme of the optical fiber sensing system of the target device is obtained, specifically:

[0100] S302, analyzing the predicted landing point information of the optical fiber segment to be detected in the preset monitoring time period according to the performance detection sensitivity data, determining the performance detection sensitivity at each time point in the preset monitoring time period, and drawing a performance detection sensitivity change curve chart for the performance detection sensitivity at each time point;

[0101] S304, evaluating the performance detection accuracy of the preset monitoring time period according to the performance detection sensitivity change curve diagram, and obtaining a performance detection accuracy change curve diagram for the preset monitoring time period;

[0102] S306, determining a performance detection accuracy change trend of the optical fiber transmission performance detection device for detecting the optical fiber transmission performance of the optical fiber segment to be detected according to the performance detection accuracy change curve graph;

[0103] S308, identifying a high-accuracy time interval for the optical fiber transmission performance detection device to perform performance detection on the optical fiber segment to be detected according to the performance detection accuracy change trend;

[0104] S310, determining the optical fiber transmission performance detection time of the optical fiber segment to be detected according to the high-accuracy time interval, and obtaining an optical fiber transmission performance detection scheme of the optical fiber sensing system of the target device.

[0105] It should be noted that by analyzing the performance detection sensitivity data and the predicted landing point information, the performance detection sensitivity changes of the optical fiber segment at different time points can be determined. According to the sensitivity change curve, the high-sensitivity time period of the performance detection can be accurately evaluated, so that the optical fiber transmission performance detection can be performed in the most appropriate time window, greatly improving the accuracy of the detection; according to the performance detection accuracy change trend, the performance detection effect of the detection equipment in the low-accuracy time period can be identified, so as to avoid unnecessary or inefficient detection operations in these time periods. This optimization can effectively reduce the waste of time and resources in the optical fiber detection process and improve the detection efficiency; by automatically determining the detection time, it not only reduces human intervention and improves the intelligent level of detection, but also ensures that the detection plan is carried out in the optimal time period, enhancing the management and maintenance efficiency of the optical fiber sensing system; by performing optical fiber transmission performance detection in a high-accuracy time interval, it can identify potential transmission performance problems in the optical fiber segment earlier and more accurately, take maintenance measures in advance, and prevent the occurrence of failures.

[0106] According to an embodiment of the present invention, it also includes:

[0107] Divide the optical fiber sensing system of the target device into N performance detection optical fiber segments according to the preset division positions;

[0108] Acquiring periodic conductive performance detection data of the performance detection optical fiber segment according to the optical fiber conductive performance detection scheme at a preset time period;

[0109] Evaluating the periodic conductivity performance of each performance detection optical fiber segment in each time period according to the periodic conductivity detection data;

[0110] Acquire initial transmission performance data of each performance detection optical fiber segment, and determine the performance degradation degree of each performance detection optical fiber segment in each time period according to the periodic transmission performance and the initial transmission performance data, wherein the performance degradation degree includes the increase degree of optical signal attenuation, the degradation degree of reflection coefficient, the increase degree of signal transmission delay, and the increase degree of chromatic dispersion;

[0111] Acquire the performance degradation degree acceptance threshold data of the optical fiber sensing system of the target device, compare the performance degradation degree with the performance degradation degree acceptance threshold data, and if the performance degradation degree is greater than the performance degradation degree acceptance threshold, perform maintenance operation on the optical fiber segment whose performance degradation degree is greater than the performance degradation degree acceptance threshold;

[0112] If the performance degradation degree is not greater than the acceptable threshold value of the performance degradation degree, the optical fiber sensing system simulation model of the target device is updated according to the performance degradation degree.

[0113] It should be noted that during long-term use, the transmission performance of the optical fiber sensing system will gradually degrade due to environmental influences, mechanical stress, aging and other factors. This degradation is reflected in the attenuation of optical signals, changes in reflection coefficients, signal transmission delays, and chromatic dispersion. If this performance degradation cannot be detected and processed in a timely manner, the overall performance of the optical fiber sensing system will be greatly reduced, affecting the normal operation of the equipment; the original optical fiber transmission performance simulation model is constructed based on the initial performance state of the optical fiber. The actual optical fiber degradation in the optical fiber sensing system will cause the model to simulate the optical signal transmission of the degraded optical fiber inaccurately. Therefore, by performing periodic transmission performance evaluation on the performance detection optical fiber segment and obtaining the acceptable threshold data of the performance degradation degree of the optical fiber sensing system of the target device, when the performance degradation degree is greater than the acceptable threshold of the performance degradation degree, the optical fiber segment with the performance degradation degree greater than the acceptable threshold of the performance degradation degree is repaired. Only when the performance degradation of the optical fiber segment exceeds the threshold, the maintenance operation is triggered, thereby avoiding unnecessary maintenance and reducing operating costs. When the performance degradation degree is not greater than the acceptable threshold of the performance degradation degree, the simulation model of the optical fiber sensing system is updated in time according to the actual detected performance degradation data, so that the model can reflect the actual state of the optical fiber transmission performance, so that the model can perform optical signal simulation transmission according to the actual performance state of the optical fiber after being updated in each preset time period, and the abnormal optical fiber segment is determined according to the actual performance of the optical fiber, which greatly improves the adaptability of the optical fiber sensing system simulation model to optical fiber performance degradation, so that the optical fiber sensing system simulation model can still maintain good optical signal simulation transmission performance under different optical fiber performance degradation degrees.

[0114] Figure 4 A block diagram of an optical fiber transmission performance detection system based on vibration pickup signal analysis of the present invention is shown.

[0115] The second aspect of the present invention further provides an optical fiber conductive performance detection system 4 based on vibration pickup signal analysis, the system comprising: a memory 41, a processor 42, the memory comprising an optical fiber conductive performance detection method program based on vibration pickup signal analysis, and when the optical fiber conductive performance detection method program based on vibration pickup signal analysis is executed by the processor, the following steps are implemented:

[0116] Constructing a fiber optic sensing system simulation model of a target device, and identifying a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model;

[0117] Obtain vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data;

[0118] Acquire actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtain performance detection sensitivity data;

[0119] Building an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information;

[0120] The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

[0121] The present invention discloses a method and system for detecting the conduction performance of optical fibers based on vibration pickup signal analysis, aiming to improve the detection efficiency and accuracy of optical fiber sensing systems. The method first constructs a simulation model of the optical fiber sensing system to identify the optical fiber segment to be detected; and extracts vibration characteristics by acquiring the vibration signal of the target optical fiber segment, real-time optical fiber conduction performance detection data, and optical signal landing point information. Then, combined with the actual optical fiber conduction performance data, the sensitivity of the detection equipment to different optical signal landing points is determined, and an optical signal landing point prediction model is constructed. Based on the predicted landing point information and performance detection sensitivity data, the detection time of the optical fiber conduction performance is determined, and finally an optical fiber conduction performance detection plan is formulated. This method improves the accuracy and efficiency of optical fiber performance detection.

[0122] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0123] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0124] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0125] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0126] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0127] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for detecting optical fiber transmission performance based on vibration pickup signal analysis, characterized in that: The following steps are involved: Constructing a fiber optic sensing system simulation model of a target device, and identifying a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model; Obtain vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data; Acquire actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtain performance detection sensitivity data; Building an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information; The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

2. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 1 is characterized in that: The step of constructing a simulation model of the optical fiber sensing system of the target device and identifying the optical fiber segment to be detected of the optical fiber sensing system according to the simulation model of the optical fiber sensing system is specifically as follows: Obtaining optical fiber transmission path information and optical fiber signal transmission characteristic data of the optical fiber sensing system of the target device, wherein the optical fiber signal transmission characteristic data includes an optical signal attenuation coefficient, a reflection coefficient, a signal transmission delay data, and a chromatic dispersion data during the transmission process of the optical fiber; According to the optical fiber signal transmission characteristic data, an optical signal attenuation sub-model, a reflection loss sub-model, a signal transmission delay sub-model, and a chromatic dispersion sub-model of the optical fiber sensing system are respectively constructed; Constructing a physical model of the optical fiber sensing system of the target device according to the optical fiber transmission path information, integrating the optical signal attenuation sub-model, the reflection loss sub-model, the signal transmission delay sub-model, the chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the optical fiber sensing system of the target device; Acquire in real time the initial optical signal data of the optical signal emitted by the optical fiber sensing system of the target device, wherein the initial optical signal data includes the optical signal intensity, the optical signal reflection intensity, and the chromatic dispersion value; Performing optical signal simulation transmission on the initial optical signal data based on the optical fiber sensing system simulation model, obtaining simulated optical signal data at a preset position of the optical fiber sensing system during the optical signal simulation transmission process, and calibrating the data as standard transmission optical signal data; Acquire actual transmission light signal data of a preset position of the optical fiber sensing system based on a photoelectric detector, compare the actual transmission light signal data with the standard transmission light signal data, and determine the degree of signal quality degradation when the initial light signal is transmitted to the preset position of the optical fiber sensing system; According to the degree of signal quality degradation at a preset position of the optical fiber sensing system, the optical fiber segment in the optical fiber transmission system where the optical signal is abnormally transmitted is determined and marked as the optical fiber segment to be detected.

3. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 1 is characterized in that: The step of obtaining vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extracting vibration characteristics of the target optical fiber segment according to the vibration signal data is specifically as follows: Acquiring vibration signal data of a target optical fiber segment in an optical fiber sensing system of a target device during operation in a preset time period based on a vibration pickup sensor; Based on the optical fiber transmission performance detection device, real-time optical fiber transmission performance detection data of the target optical fiber segment in a preset time period is obtained, and the optical signal landing point information collected by the optical fiber transmission performance detection device during the performance detection of the target optical fiber segment is obtained; Extracting vibration signal characteristics of the target optical fiber segment in a preset time period according to the vibration signal data, wherein the vibration signal characteristics include maximum and minimum amplitude values, mean and variance, peak value, and periodic variation characteristics of the vibration signal; The vibration characteristics of the target optical fiber segment in a preset time period are determined according to the vibration signal characteristics, wherein the vibration characteristics include the vibration intensity change characteristics and the vibration frequency change characteristics of the target optical fiber segment in the preset time.

4. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 1 is characterized in that: The actual optical fiber transmission performance data of the target optical fiber segment in the preset time period is obtained, and the performance detection sensitivity of the optical fiber transmission performance detection device to different optical signal landing points is determined according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information to obtain the performance detection sensitivity data, specifically: Performing optical fiber conduction performance detection on the target optical fiber segment according to the real-time optical fiber conduction performance detection data to obtain a real-time optical fiber conduction performance detection result; Acquire actual optical fiber transmission performance data of the target optical fiber segment in a preset time period, align the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information in the preset time period according to the timestamp, and construct a data matrix with the real-time optical fiber transmission performance test results, actual optical fiber transmission performance data, and optical signal landing point information after the alignment operation to obtain an optical fiber transmission performance data matrix; Calculating the Manhattan distance between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance of the target optical fiber segment at each time point according to the optical fiber conductivity performance data matrix, determining the performance deviation between the real-time optical fiber conductivity performance and the actual optical fiber conductivity performance according to the Manhattan distance, and obtaining the performance deviation data at each time point; The performance deviation data at each time point is formed into a one-to-one correspondence with the optical signal landing point information to form a performance deviation-optical signal landing point mapping data set; The DBSCAN clustering algorithm is introduced to perform clustering operation on the performance deviation data, and the neighborhood radius ε and the minimum number of points MinPts of the DBSCAN clustering algorithm are set. For each data point in the performance deviation data, each data point is marked as unvisited based on the DBSCAN clustering algorithm, a data point is randomly selected for access, and the data point that enters the access state is marked as data point p; Find all the data points in the ε neighborhood of data point p. If the number of points in the ε neighborhood of data point p is not less than MinPts, mark data point p as a core point, create a new cluster C, and add data point p and all data points in the ε neighborhood of data point p to cluster C. If the number of points in the ε neighborhood of data point p is less than MinPts, mark data point p as a noise point. For each data point q added to cluster C, if the data point q is a core point, the data points in the ε neighborhood of the data point q continue to be added to cluster C, and the determination of whether the data point in cluster C is a core point and the data points in the ε neighborhood are repeatedly added until there are no new data points added to cluster C; Randomly select an unvisited data point from the performance deviation data to perform core point judgment and add ε neighborhood data points until all data points in the performance deviation data are visited and the clustering result is obtained; According to the performance deviation-optical signal landing point mapping data set, each cluster in the clustering result is analyzed to determine the distribution of optical signal landing points of each cluster, and the performance detection sensitivity of the optical fiber transmission performance detection equipment to different optical signal landing points is determined according to the distribution of optical signal landing points of each cluster to obtain performance detection sensitivity data.

5. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 4 is characterized in that: The optical signal landing point prediction model is constructed according to the vibration characteristics and the optical signal landing point data, and the real-time optical signal landing point of the optical fiber segment to be detected is predicted according to the optical signal landing point prediction model to obtain the predicted landing point information, specifically: Constructing an optical signal landing prediction model based on a random forest algorithm, analyzing the vibration characteristics in the optical fiber conduction performance data matrix and the optical signal landing data array according to the random forest algorithm, and determining model parameters of the optical signal landing prediction model, wherein the model parameters include the number of decision trees, the maximum depth of the decision tree, the minimum number of samples required for node splitting, the minimum number of samples required for leaf nodes, and the maximum number of features used for each splitting; A sample set is extracted from the vibration characteristics and the light signal landing point data array based on a self-help method to construct a decision tree, a light signal landing point prediction model is trained based on the decision tree, and a split operation is performed on the decision tree to obtain a trained light signal landing point prediction model; Real-time vibration signal data of the optical fiber segment to be detected in a preset monitoring time period is obtained, real-time vibration characteristics are extracted according to the real-time vibration signal data, and the real-time vibration characteristics are imported into the optical signal landing point prediction model to predict the real-time optical signal landing point of the optical fiber segment to be detected in the preset monitoring time period to obtain predicted landing point information.

6. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 1, characterized in that: The optical fiber transmission performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber transmission performance detection scheme of the optical fiber sensing system of the target device is obtained, specifically: Analyze the predicted landing point information of the optical fiber segment to be detected in the preset monitoring time period according to the performance detection sensitivity data, determine the performance detection sensitivity at each time point in the preset monitoring time period, and draw a performance detection sensitivity change curve chart for the performance detection sensitivity at each time point; Evaluate the performance detection accuracy of the preset monitoring time period according to the performance detection sensitivity change curve diagram to obtain a performance detection accuracy change curve diagram for the preset monitoring time period; Determine the performance detection accuracy change trend of the optical fiber transmission performance detection device for detecting the optical fiber transmission performance of the optical fiber segment to be detected according to the performance detection accuracy change curve diagram; Identify a high-accuracy time interval for the optical fiber transmission performance detection device to perform performance detection on the optical fiber segment to be detected according to the performance detection accuracy change trend; The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the high-accuracy time interval, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

7. An optical fiber transmission performance detection system based on vibration pickup signal analysis, characterized in that: The optical fiber transmission performance detection system based on vibration pickup signal analysis includes a storage device and a processor. The storage device includes an optical fiber transmission performance detection method program based on vibration pickup signal analysis. When the optical fiber transmission performance detection method program based on vibration pickup signal analysis is executed by the processor, the following steps are implemented: Constructing a fiber optic sensing system simulation model of a target device, and identifying a fiber optic segment to be detected of the fiber optic sensing system according to the fiber optic sensing system simulation model; Obtain vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance detection data, and optical signal landing point information during the optical fiber conduction performance detection process, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data; Acquire actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points according to the real-time optical fiber transmission performance detection data, the actual optical fiber transmission performance data, and the optical signal landing point information, and obtain performance detection sensitivity data; Building an optical signal landing point prediction model according to the vibration characteristics and the optical signal landing point data, and predicting the real-time optical signal landing point of the optical fiber segment to be detected according to the optical signal landing point prediction model to obtain predicted landing point information; The optical fiber conduction performance detection time of the optical fiber segment to be detected is determined according to the predicted landing point information and the performance detection sensitivity data, and the optical fiber conduction performance detection scheme of the optical fiber sensing system of the target device is obtained.

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