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

Abstract

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.

Description

Technical Field

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

[0002] With the widespread application of fiber optic technology, fiber optic sensing systems are playing a vital 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 testing and maintenance of optical fiber transmission performance have become critical to ensuring the normal operation of optical fiber sensing systems. However, traditional methods for testing optical fiber transmission performance often rely on basic performance parameters of optical signal transmission, such as attenuation coefficient and reflection loss, and are usually performed at fixed time intervals. This may not be able to timely and accurately reflect the actual transmission status of the optical fiber when faced with complex external interference and changes in the equipment operating environment.

[0003] Furthermore, fiber optic sensing systems are often affected by environmental vibrations, mechanical shock, and other external disturbances during operation. These external disturbances can have a significant impact on the fiber's transmission performance. In particular, changes in vibration are closely related to the accuracy of fiber optic transmission performance testing equipment. Therefore, accurately measuring fiber optic transmission performance by analyzing fiber vibration characteristics has become a difficult and research-intensive area in current technology.

[0004] Existing detection methods primarily rely on direct acquisition and analysis of optical fiber signals, ignoring the complex relationship between vibration signals and optical fiber transmission performance. This limits the sensitivity and accuracy of test results. Therefore, a new detection method is urgently needed that can effectively combine the analysis of picked-up vibration signals with optical fiber transmission performance data to provide a more accurate performance test solution, thereby improving the monitoring effectiveness and efficiency of optical fiber sensing systems. 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 segment to be detected in the fiber optic sensing system according to the fiber optic sensing system simulation model;

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

[0009] Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, and determining the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points based on 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 performance detection sensitivity data;

[0010] Building an optical signal landing point prediction model based on 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 based on the optical signal landing point prediction model to obtain predicted landing point information;

[0011] 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.

[0012] In this solution, the construction of a fiber optic sensing system simulation model of the target device and the identification of the fiber optic segment to be detected of the fiber optic sensing system based on the fiber optic sensing system simulation model are specifically as follows:

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

[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 target device's optical fiber sensing system based on the optical fiber transmission path information, and integrating the optical signal attenuation sub-model, reflection loss sub-model, signal transmission delay sub-model, and chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the target device's optical fiber sensing system;

[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 optical signal intensity, optical signal reflection intensity, and chromatic dispersion value;

[0017] Performing optical signal simulation transmission on the initial optical signal data based on a simulation model of the optical fiber sensing system, 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 standard transmission light signal data, and determine the degree of signal quality degradation of the initial light signal transmitted to the preset position of the optical fiber sensing system;

[0019] The optical fiber segment in the optical fiber transmission system where the optical signal is abnormally transmitted is determined according to the degree of signal quality degradation at the preset position of the optical fiber sensing system, and is 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 transmission performance test data, and the optical signal landing point information during the optical fiber transmission performance test are obtained, and the vibration characteristics of the target optical fiber segment are extracted based on the vibration signal data. Specifically,

[0021] Acquire 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] Acquiring real-time optical fiber transmission performance test data of the target optical fiber segment during a preset time period based on the optical fiber transmission performance test device, and acquiring optical signal landing point information collected by the optical fiber transmission performance test device during the performance test of the target optical fiber segment;

[0023] Extracting vibration signal characteristics of the target optical fiber segment in a preset time period based on 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 based on 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 during 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 based on 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:

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

[0027] Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, aligning the real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information during the preset time period according to timestamps, and constructing a data matrix using the aligned real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information 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 performance deviation data at each time point;

[0029] The performance deviation data at each time point is mapped to the optical signal landing point information in a one-to-one relationship 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, and a data point that enters the visited state is randomly selected and marked as data point p;

[0031] Find all the data points in the ε neighborhood of the data point p. If the number of points in the ε neighborhood of the data point 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 the data point p to the cluster C. If the number of points in the ε neighborhood of the data point 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. Repeatedly determine whether the data point in cluster C is a core point and add the data points in the ε neighborhood 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] Each cluster in the clustering results is analyzed based on the performance deviation-optical signal landing point mapping data set to determine the distribution of optical signal landing points in each cluster. Based on the distribution of optical signal landing points in each cluster, the performance detection sensitivity of the optical fiber transmission performance detection equipment to different optical signal landing points is determined to obtain performance detection sensitivity data.

[0035] In this solution, the optical signal landing point prediction model is constructed based on 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 based on the optical signal landing point prediction model to obtain the predicted landing point information, specifically:

[0036] 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 in each split;

[0037] A decision tree is constructed by extracting a sample set from the vibration characteristics and the light signal landing point data array based on a bootstrap method, a light signal landing point prediction model is trained based on the decision tree, and a splitting 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 based on 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 based on 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, specifically:

[0040] Analyze the predicted landing point information of the optical fiber segment to be tested 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 plot the performance detection sensitivity at each time point in a performance detection sensitivity change curve;

[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] Determining a performance detection accuracy change trend of an optical fiber transmission performance detection device for detecting optical fiber transmission performance of an optical fiber segment to be detected based on the performance detection accuracy change curve;

[0043] Identifying a high-accuracy time interval for the optical fiber transmission performance testing device to perform performance testing on the optical fiber segment to be tested based on the performance testing accuracy change trend;

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

[0045] A second aspect of the present invention further provides a system for detecting optical fiber conductivity performance based on vibration pickup signal analysis. The system comprises: a memory and a processor. The memory includes a program for detecting optical fiber conductivity performance based on vibration pickup signal analysis. When the program 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 segment to be detected in the fiber optic sensing system according to the fiber optic sensing system simulation model;

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

[0048] Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, and determining the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points based on 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 performance detection sensitivity data;

[0049] Building an optical signal landing point prediction model based on 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 based on the optical signal landing point prediction model to obtain predicted landing point information;

[0050] 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.

[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 according to the present invention is shown;

[0053] Figure 2 The flowchart of the present invention for obtaining predicted landing point information is shown;

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

[0055] Figure 4 The block diagram of the 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 objects, 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, in the absence of conflict, the embodiments of the present application and the features therein can be combined with each other.

[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 scope of protection 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 fiber optic sensing system simulation model of a target device, and identifying a fiber segment to be detected in the fiber optic sensing system according to the fiber optic sensing system simulation model;

[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 transmission performance test data, and optical signal landing point information during the optical fiber transmission performance test, and extracting vibration characteristics of the target optical fiber segment based on the vibration signal data;

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

[0063] S108, constructing an optical signal landing point prediction model based on 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 based on 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 based on the predicted landing point information and the performance detection sensitivity data, and obtaining an 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 status of the fiber optic sensing system of the target device in real time, the fiber segment to be detected with abnormalities 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 hit the optical detector inside the device through the light signal, and then extract the light signal for performance detection. Since the optical detector has different recognition sensitivities to the light 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 optical fiber to vibrate. The presence of vibration will cause the optical fiber to have slight displacement and deformation, thereby changing the refractive index inside the optical fiber and the light signal propagation path. This change may cause attenuation, reflection and scattering of the optical signal 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 determine the detection time of the optical fiber conduction performance 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, greatly improving the accuracy of the light efficiency conduction performance detection and reducing 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 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:

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

[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 target device's optical fiber sensing system based on the optical fiber transmission path information, and integrating the optical signal attenuation sub-model, reflection loss sub-model, signal transmission delay sub-model, and chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the target device's optical fiber sensing system;

[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 optical signal intensity, optical signal reflection intensity, and chromatic dispersion value;

[0071] Performing optical signal simulation transmission on the initial optical signal data based on a simulation model of the optical fiber sensing system, 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 standard transmission light signal data, and determine the degree of signal quality degradation of the initial light signal transmitted to the preset position of the optical fiber sensing system;

[0073] The optical fiber segment in the optical fiber transmission system where the optical signal is abnormally transmitted is determined according to the degree of signal quality degradation at the preset position of the optical fiber sensing system, and is 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 then 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 optical fiber sensors and transmits data through optical fibers, such as pipeline pressure monitoring equipment, industrial equipment health monitoring systems, etc.; the optical fiber sensing system is a fiber optic sensing system composed of optical fiber sensors and optical fiber networks connected between 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 transmission 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 intensity is 10 decibels, the signal intensity 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 intensity, optical signal reflection intensity, chromatic dispersion value, and signal delay time.

[0075] According to an embodiment of the present invention, 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 conductivity performance test data, and optical signal landing point information during the optical fiber conductivity performance test, and extracting vibration characteristics of the target optical fiber segment based on the vibration signal data is specifically as follows:

[0076] Acquire 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] Acquiring real-time optical fiber transmission performance test data of the target optical fiber segment during a preset time period based on the optical fiber transmission performance test device, and acquiring optical signal landing point information collected by the optical fiber transmission performance test device during the performance test of the target optical fiber segment;

[0078] Extracting vibration signal characteristics of the target optical fiber segment in a preset time period based on 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 based on 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 operation of the vibration pickup sensor and the optical fiber transmission performance detection equipment, this 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 assessed. By extracting the characteristics of the vibration signal (including amplitude, mean, variance, peak value, etc.), the vibration changes of the optical fiber segment within a specific time period can be effectively identified. Vibration is often a precursor to optical fiber damage or performance degradation. By monitoring the vibration characteristics of the optical fiber segment in real time and combining it with the optical signal landing point information for analysis, this method can detect 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 meter, an optical fiber loss meter, an optical power meter, etc. The optical fiber transmission performance detection equipment picks up the optical signal through the photoelectric detector inside the equipment. The optical signal landing point 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 during 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 based on 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 conductivity testing on the target optical fiber segment according to the real-time optical fiber conductivity testing data to obtain a real-time optical fiber conductivity testing result;

[0083] Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, aligning the real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information during the preset time period according to timestamps, and constructing a data matrix using the aligned real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information 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 performance deviation data at each time point;

[0085] The performance deviation data at each time point is mapped to the optical signal landing point information in a one-to-one relationship 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, and a data point that enters the visited state is randomly selected and marked as data point p;

[0087] Find all 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.

[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. Repeatedly determine whether the data point in cluster C is a core point and add the data points in the ε neighborhood 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] Each cluster in the clustering results is analyzed based on the performance deviation-optical signal landing point mapping data set to determine the distribution of optical signal landing points in each cluster. Based on the distribution of optical signal landing points in each cluster, the performance detection sensitivity of the optical fiber transmission performance detection equipment to different optical signal landing points is determined to obtain performance detection sensitivity data.

[0091] It should be noted that when the target device vibrates the optical fiber, the resulting optical signal will strike different locations of the photodetector in the optical fiber performance testing equipment. These locations have varying sensitivity to optical signals, leading to performance deviations when testing optical signals in areas of low sensitivity. Therefore, by performing optical transmission performance testing on the target optical fiber segment, real-time optical transmission performance results are obtained. The actual optical transmission performance data for the target optical fiber segment is then combined with the optical signal landing point information to construct a data matrix. The performance deviation data at different optical signal landing points is clustered using the DBSCAN clustering algorithm, effectively identifying variations in optical transmission performance sensitivity at different optical signal landing points. The clustering results accurately identify optical signal landing points where significant deviations between the optical transmission performance and actual performance occur. Analysis of the performance deviation-optical signal landing point mapping dataset allows for rapid localization of the optical fiber transmission performance testing equipment's sensitivity to specific optical signal landing points, thereby accurately identifying the optical signal detection sensitivity at different locations of the optical fiber transmission performance testing equipment's photodetector. Higher performance detection sensitivity indicates lower performance deviations.

[0092] Figure 2 The flowchart of the present invention for obtaining predicted landing point information is shown.

[0093] According to an embodiment of the present invention, the optical signal landing point prediction model is constructed based on 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 based on the optical signal landing point prediction model to obtain the predicted landing point information, specifically:

[0094] S202, constructing an optical signal landing point 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 point data array according to the random forest algorithm, and determining model parameters of the optical signal landing point 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 in each split;

[0095] S204, extracting a sample set from the vibration characteristics and light signal landing point data array based on a bootstrap method to construct a decision tree, performing a training operation on a light signal landing point prediction model based on the decision tree, and performing a splitting 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 during 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 during the preset monitoring time period, and obtaining predicted landing point information.

[0097] It should be noted that the random forest algorithm, by integrating multiple decision trees for prediction, can effectively improve the accuracy and robustness of the model. Each decision tree is trained using a different sample set, reducing 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 point, 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 optical signal landing points of the optical fiber segment to be tested at different vibration levels. 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 The flowchart 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 based on 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 tested in a preset monitoring time period based on the performance test sensitivity data, determining the performance test sensitivity at each time point in the preset monitoring time period, and plotting the performance test sensitivity at each time point in a performance test sensitivity change curve;

[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 based on the performance detection accuracy change curve;

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

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

[0105] It should be noted that by analyzing performance test sensitivity data and predicted landing point information, changes in performance test sensitivity of optical fiber segments at different time points can be determined. Based on the sensitivity change curve, the highly sensitive time periods for performance testing can be accurately assessed, allowing optical fiber transmission performance testing to be performed within the most appropriate time window, significantly improving test accuracy. Based on the performance test accuracy change trend, the performance test results of the testing equipment during low-accuracy time periods can be identified, thereby avoiding unnecessary or inefficient testing operations during these time periods. This optimization can effectively reduce the waste of time and resources during optical fiber testing and improve testing efficiency. By automatically determining the test time, not only does it reduce human intervention and improve the intelligence level of testing, it also ensures that the test plan is carried out within the optimal time period, enhancing the management and maintenance efficiency of the optical fiber sensing system. By performing optical fiber transmission performance testing within the high-accuracy time interval, potential transmission performance issues in the optical fiber segment can be identified earlier and more accurately, allowing maintenance measures to be taken in advance to prevent failures.

[0106] According to an embodiment of the present invention, the further embodiment 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] Obtaining initial transmission performance data of each performance test optical fiber segment, and determining a degree of performance degradation of each performance test optical fiber segment in each time period based on the periodic transmission performance and the initial transmission performance data, wherein the degree of performance degradation includes a degree of increase in optical signal attenuation, a degree of degradation in reflectance coefficient, a degree of increase in signal transmission delay, and a degree of increase in chromatic dispersion;

[0111] Obtaining acceptable threshold data for a performance degradation degree of a fiber optic sensing system of a target device, comparing the performance degradation degree with the acceptable threshold data for the performance degradation degree, and if the performance degradation degree is greater than the acceptable threshold data for the performance degradation degree, performing a maintenance operation on the fiber segment having a performance degradation degree greater than the acceptable threshold data for the performance degradation degree;

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

[0113] It's important to note that fiber optic sensing systems gradually degrade in performance over time due to environmental influences, mechanical stress, aging, and other factors. This degradation manifests itself in optical signal attenuation, changes in reflection coefficient, signal transmission delay, and chromatic dispersion. If this performance degradation isn't detected and addressed promptly, the overall performance of the fiber optic sensing system will decline significantly, impacting normal equipment operation. Existing fiber optic transmission performance simulation models are built based on the fiber's initial performance state. Actual fiber degradation in fiber optic sensing systems can cause the model's simulation of optical signal transmission to become inaccurate for the degraded fiber. Therefore, by periodically evaluating the transmission performance of the performance detection optical fiber segment and obtaining the acceptable threshold data of the performance degradation degree of the target device optical fiber sensing system, when the performance degradation degree is greater than the acceptable threshold, the optical fiber segment with the performance degradation degree greater than the acceptable threshold is repaired. Only when the performance degradation of the optical fiber segment exceeds the threshold is the repair operation triggered, thereby avoiding unnecessary maintenance and reducing operating costs. When the performance degradation degree is not greater than the acceptable threshold, the simulation model of the optical fiber sensing system is updated in time according to the actual detection performance degradation data, so that the model can reflect the actual state of the optical fiber transmission performance, so that the model can simulate the transmission of optical signals according to the actual performance state of the optical fiber after being updated in each preset time period, and determine the abnormal optical fiber segment according to the actual performance of the optical fiber, thereby greatly improving 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 The block diagram of the optical fiber transmission performance detection system based on vibration pickup signal analysis of the present invention is shown.

[0115] A second aspect of the present invention further provides a system 4 for detecting optical fiber conductivity based on vibration pickup signal analysis. The system comprises: a memory 41 and a processor 42. The memory includes a program for detecting optical fiber conductivity based on vibration pickup signal analysis. When the program 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 segment to be detected in the fiber optic sensing system according to the fiber optic sensing system simulation model;

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

[0118] Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, and determining the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points based on 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 performance detection sensitivity data;

[0119] Building an optical signal landing point prediction model based on 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 based on the optical signal landing point prediction model to obtain predicted landing point information;

[0120] 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.

[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 this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, 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 across multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the scheme of this 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] Those skilled in the art will appreciate that all or part of the steps of the above-mentioned method embodiments may be implemented by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium. When the program is executed, the program executes the steps of the above-mentioned method embodiments. The aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0126] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software functional 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, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or 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 description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection 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 segment to be detected in the fiber optic sensing system according to the fiber optic sensing system simulation model; Acquire vibration signal data of a target optical fiber segment of a target device in a preset time period, real-time optical fiber conduction performance test data, and optical signal landing point information during the optical fiber conduction performance test, and extract vibration characteristics of the target optical fiber segment based on the vibration signal data; Obtain actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, and determine the performance detection sensitivity of an optical fiber transmission performance detection device to different optical signal landing points based on 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 performance detection sensitivity data, specifically: Performing optical fiber conductivity testing on the target optical fiber segment according to the real-time optical fiber conductivity testing data to obtain a real-time optical fiber conductivity testing result; Acquiring actual optical fiber transmission performance data of a target optical fiber segment during a preset time period, aligning the real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information during the preset time period according to timestamps, and constructing a data matrix using the aligned real-time optical fiber transmission performance test results, the actual optical fiber transmission performance data, and the optical signal landing point information 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 performance deviation data at each time point; The performance deviation data at each time point is mapped to the optical signal landing point information in a one-to-one relationship to form a performance deviation-optical signal landing point mapping data set; The DBSCAN clustering algorithm is introduced to perform clustering operations 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, and a data point that enters the visited state is randomly selected and marked as data point p; Find all 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. Repeatedly determine whether the data point in cluster C is a core point and add the data points in the ε neighborhood 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; Analyzing each cluster in the clustering result according to the performance deviation-optical signal landing point mapping data set, determining the distribution of optical signal landing points of each cluster, and determining the performance detection sensitivity of the optical fiber transmission performance detection device to different optical signal landing points based on the distribution of optical signal landing points of each cluster, to obtain performance detection sensitivity data; Building an optical signal landing point prediction model based on 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 based on the optical signal landing point prediction model to obtain predicted landing point information; 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.

2. The optical fiber transmission performance detection method based on vibration pickup signal analysis according to claim 1, 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 target device's optical fiber sensing system, wherein the optical fiber signal transmission characteristic data includes optical signal attenuation coefficient, reflection coefficient, signal transmission delay data, and chromatic dispersion data during optical fiber transmission; 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 target device's optical fiber sensing system based on the optical fiber transmission path information, and integrating the optical signal attenuation sub-model, reflection loss sub-model, signal transmission delay sub-model, and chromatic dispersion sub-model with the physical model of the optical fiber sensing system to form a simulation model of the target device's optical fiber sensing system; 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 optical signal intensity, optical signal reflection intensity, and chromatic dispersion value; Performing optical signal simulation transmission on the initial optical signal data based on a simulation model of the optical fiber sensing system, 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 standard transmission light signal data, and determine the degree of signal quality degradation of the initial light signal transmitted to the 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 according to the degree of signal quality degradation at the preset position of the optical fiber sensing system, and is 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, characterized in that: The step of obtaining vibration signal data of a target optical fiber segment of a target device during a preset time period, real-time optical fiber transmission performance detection data, and optical signal landing point information during the optical fiber transmission performance detection process, and extracting vibration characteristics of the target optical fiber segment based on the vibration signal data is specifically as follows: Acquire 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; Acquiring real-time optical fiber transmission performance test data of the target optical fiber segment during a preset time period based on the optical fiber transmission performance test device, and acquiring optical signal landing point information collected by the optical fiber transmission performance test device during the performance test of the target optical fiber segment; Extracting vibration signal characteristics of the target optical fiber segment in a preset time period based on 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 based on 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, characterized in that: The optical signal landing point prediction model is constructed based on 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 based on 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 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 in each split; A decision tree is constructed by extracting a sample set from the vibration characteristics and the light signal landing point data array based on a bootstrap method, a light signal landing point prediction model is trained based on the decision tree, and a splitting 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 based on 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.

5. 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 based on 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 tested 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 plot the performance detection sensitivity at each time point in a performance detection sensitivity change curve; 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; Determining a performance detection accuracy change trend of an optical fiber transmission performance detection device for detecting optical fiber transmission performance of an optical fiber segment to be detected based on the performance detection accuracy change curve; Identifying a high-accuracy time interval for the optical fiber transmission performance testing device to perform performance testing on the optical fiber segment to be tested based on the performance testing accuracy change trend; The optical fiber transmission performance detection time of the optical fiber segment to be detected is determined according to the high-accuracy time interval, and an optical fiber transmission performance detection scheme of the optical fiber sensing system of the target device is obtained.

6. A fiber optic transmission performance detection system based on vibration pickup signal analysis, characterized in that: The optical fiber conduction performance detection system based on vibration pickup signal analysis includes a storage and a processor, the storage includes an optical fiber conduction performance detection method program based on vibration pickup signal analysis, and when the optical fiber conduction performance detection method program based on vibration pickup signal analysis is executed by the processor, an optical fiber conduction performance detection method based on vibration pickup signal analysis as described in any one of claims 1 to 5 is implemented.

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