Optical fiber link management system and method, and non-volatile storage medium

Abstract

The invention discloses an optical fiber link management system and method and a nonvolatile storage medium. The system comprises a sensor module, a data processing and analysis module, a fault detection module, a state adjustment module and a maintenance module, and the sensor module is used for transmitting a signal to an optical fiber link and receiving a reflection signal from the optical fiber link; the data processing and analyzing module is used for receiving the data of the reflected signal transmitted by the sensor module and carrying out noise reduction processing and data cleaning on the data of the reflected signal to obtain target data; determining optical fiber link state data according to the target data; the fault detection module is used for determining a threshold detection result according to the link state data and a preset threshold; and the state adjusting module is used for adjusting the optical fiber connection parameters of the optical fiber link according to the link state data. The technical problems that existing optical fiber link management depends on manpower, and the management efficiency is low due to the low integration level are solved.

Description

Technical Field

[0001] The present application relates to the field of optical fiber communications, and in particular to an optical fiber link management system, method and non-volatile storage medium. Background Art

[0002] Optical fiber communication technology is the core of modern communication systems and is widely used in data transmission, telecommunications, and the Internet. In optical fiber communication systems, the performance and stability of optical fiber links directly affect the quality of communication. Therefore, real-time monitoring and maintenance of optical fiber links become crucial. Existing optical fiber link management technologies generally have problems such as complex operation, reliance on manual labor, low integration, and scattered modules, resulting in poor real-time data performance, difficult maintenance, and high costs for optical fiber links. These shortcomings limit its application effect and management efficiency in large-scale optical fiber networks.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a fiber link management system, method and non-volatile storage medium to at least solve the technical problem of low management efficiency caused by the existing fiber link management relying on manual work and low integration.

[0005] According to one aspect of an embodiment of the present application, a fiber optic link management system is provided, comprising: a sensor module, a data processing and analysis module, a fault detection module, a state adjustment module, and a maintenance module, wherein: the sensor module is used to transmit a signal to the fiber optic link and receive a reflected signal from the fiber optic link, wherein the sensor module comprises: an optical time domain reflectometer, a fiber Bragg grating sensor, and a laser light source, the optical time domain reflectometer is used to transmit an optical pulse signal and receive a reflected signal, the laser light source is used to transmit an optical signal, and the fiber Bragg grating sensor is used for the reflected signal of the optical signal; the data processing and analysis module is used to receive the data of the reflected signal transmitted by the sensor module and perform noise reduction processing and data cleaning on the data of the reflected signal to obtain target data; the fiber optic link state data is determined based on the target data, and the link state data comprises at least one of the following: optical signal loss; consumption value, signal reflection point position and reflection signal strength, temperature change and strain change of optical fiber link; the fault detection module is used to determine the threshold detection result according to the link status data and the preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold. When the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; fault identification is performed according to the link status data to determine the fault identification result, and the fault identification result includes the existence of a fault in the optical fiber link and the absence of a fault in the optical fiber link. When the fault identification result is that the optical fiber link has a fault, a fault report is generated; a state adjustment module is used to adjust the optical fiber connection parameters of the optical fiber link according to the link status data, and the optical fiber connection parameters include at least one of the following: the output power of the optical signal in the optical fiber link, the optical fiber wavelength, and the optical fiber gain.

[0006] Optionally, the data processing and analysis module is used to determine the link status data in at least one of the following ways: determining the signal reflection point position corresponding to the reflection signal and the signal strength of the reflection signal based on the waveform information of the reflection signal of the optical pulse signal; determining the temperature change information and strain change of the optical fiber link within a preset time period based on the wavelength offset of the reflection signal of the optical signal, wherein the strain change includes the change in length and bending degree of the optical fiber.

[0007] Optionally, the threshold detection module is also used to determine that the threshold detection result is that the data exceeds the threshold when there is link status data exceeding the corresponding preset threshold; and to generate an alarm message when the threshold detection result is that the data exceeds the threshold, wherein the alarm information includes: fault type and fault location.

[0008] Optionally, the fault detection module is used to identify the link status data using a fault identification model to obtain a fault type; and generate a fault report according to the fault type, wherein the fault report includes the fault type and the fault location.

[0009] Optionally, the state adjustment module is used to: determine whether the link state data meets the preset standards, wherein the preset standards include at least one of the following: optical signal loss value range standard, temperature change range standard, strain change range standard; if the link state data does not meet the preset standards, adjust the optical fiber connection parameters according to the deviation of the link state data relative to the preset standards.

[0010] Optionally, the maintenance module is used to: obtain a fault prediction result generated by a prediction model based on link status data, historical fault data and external environment data; generate a maintenance task based on the fault prediction result, wherein the fault prediction result includes a predicted fault location, a predicted fault cause, and a predicted probability, and the maintenance task is used to maintain the optical fiber link.

[0011] Optionally, the optical fiber link management system further includes: a management platform device for displaying data processed by the sensor, the data processing and analysis module, the fault detection module, the state adjustment module and the maintenance module to the user.

[0012] According to another aspect of the embodiment of the present application, a fiber optic link management method is also provided, comprising: receiving data of a reflection signal transmitted by a sensor module and performing noise reduction processing and data cleaning on the reflection signal data to obtain target data; determining fiber optic link status data based on the target data, the link status data including at least one of the following: optical signal loss value, signal reflection point position and reflection signal strength, temperature change and strain change of the fiber optic link; determining a threshold detection result based on the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold, and when the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind staff to perform maintenance; performing fault identification based on the link status data to determine a fault identification result, the fault identification result includes the presence of a fault in the fiber optic link and the absence of a fault in the fiber optic link, and when the fault identification result is that the fiber optic link has a fault, a fault report is generated; adjusting the fiber optic connection parameters of the fiber optic link based on the link status data, wherein the fiber optic connection parameters include at least one of the following: output power of the optical signal in the fiber optic link, fiber wavelength, and fiber gain.

[0013] According to another aspect of an embodiment of the present application, a non-volatile storage medium is provided, in which a program is stored, wherein when the program is running, a device where the non-volatile storage medium is located is controlled to execute a fiber link management method.

[0014] According to another aspect of an embodiment of the present application, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the optical fiber link management method is implemented.

[0015] In an embodiment of the present application, a fiber optic link management system is adopted, including: a sensor module, a data processing and analysis module, a fault detection module, a state adjustment module, and a maintenance module, wherein: the sensor module is used to transmit a signal to the fiber optic link and receive a reflected signal from the fiber optic link, wherein the sensor module includes: an optical time domain reflectometer, a fiber Bragg grating sensor and a laser light source, the optical time domain reflectometer is used to transmit an optical pulse signal and receive a reflected signal, the laser light source is used to transmit an optical signal, and the fiber Bragg grating sensor is used for the reflected signal of the optical signal; the data processing and analysis module is used to receive the data of the reflected signal transmitted by the sensor module and perform noise reduction processing and data cleaning on the data of the reflected signal to obtain target data; the fiber optic link state data is determined based on the target data, and the link state data includes at least one of the following: optical signal loss value, signal reflection point position and reflection signal strength, temperature change and strain change of the fiber optic link; the fault detection module is used to determine the threshold detection result based on the link state data and a preset threshold, wherein the threshold The detection results include data exceeding a threshold value and data not exceeding a threshold value. When the detection result is that the data exceeds the threshold value, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; fault identification is performed based on the link status data to determine the fault identification result, and the fault identification result includes the presence of a fault in the optical fiber link and the absence of a fault in the optical fiber link. When the fault identification result is that the optical fiber link has a fault, a fault report is generated; a state adjustment module is used to adjust the optical fiber connection parameters of the optical fiber link based on the link status data, and the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain. By integrating the sensor module, the data processing and analysis module, the fault detection module, the state adjustment module, and the maintenance module, the purpose of automated fault detection, precise positioning, and automated generation of maintenance tasks is achieved, thereby achieving the technical effect of dynamically adjusting the optical fiber connection parameters and optimizing the link performance, thereby solving the technical problem of low management efficiency caused by the existing optical fiber link management relying on manual labor and low integration. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 is a schematic diagram of the structure of an optical fiber link management system provided according to an embodiment of the present invention;

[0018] Figure 2 It is a structural schematic diagram of a computer terminal (mobile device) provided according to an embodiment of the present application;

[0019] Figure 3It is a flowchart of a fiber optic link management method provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] In order to better understand the embodiments of the present application, the technical terms involved in the embodiments of the present application are explained as follows:

[0023] Optical Time Domain Reflectometer (OTDR): A precision instrument used for testing and locating optical fiber links. By emitting short optical pulses into the optical fiber and receiving the optical signal reflected from the optical fiber, the loss, reflection, breakpoint and other characteristics of the optical fiber link are analyzed. OTDR is widely used in the installation, maintenance and troubleshooting of optical fiber communication networks, and is an important tool for optical fiber link quality control and network optimization. It can provide information such as the total loss of the optical fiber link, the loss distribution of each section, the joint loss and the location of the fault point, which plays an important role in ensuring the reliability and performance of the optical fiber network.

[0024] Fiber Bragg Grating (FBG) sensor: A precision measurement device based on the reflection characteristics of fiber grating, widely used in the measurement of various physical quantities, such as temperature, strain, pressure, vibration, etc. The core of the FBG sensor is the fiber Bragg grating, which is a microstructure made in the optical fiber that can produce reflection on the light signal of a specific wavelength. The reflection wavelength is closely related to the physical properties of the grating (such as the grating period and refractive index).

[0025] In the related art, optical fiber link management relies on manual operation, and data collection uses only a single sensor, which results in data delay, time-consuming and inefficient manual operation, inaccurate optical fiber connection parameters, and high management costs. Specifically, the following problems exist:

[0026] 1. Existing technologies in optical fiber link monitoring mostly rely on offline detection methods, such as traditional OTDR, which cannot provide real-time data updates and status feedback.

[0027] 2 Traditional fiber optic link fault detection and location mostly rely on manual operation, which is a complex and time-consuming process, and the accuracy and efficiency of fault location are limited.

[0028] 3. The performance of the fiber optic link may be affected by factors such as environmental changes and equipment aging. It is necessary to dynamically adjust the connection parameters to optimize the performance of the fiber optic link. Manual management is difficult to achieve timely adjustments.

[0029] 4. Maintenance of fiber optic links usually requires manual intervention and troubleshooting. The maintenance process is cumbersome and may cause system downtime, increasing maintenance costs and complexity.

[0030] 5. The existing technical solutions have high costs in the management and maintenance of optical fiber links, including the costs of manual operation and maintenance and data analysis.

[0031] In order to solve the above problems, relevant solutions are provided in the embodiments of the present application, which are described in detail below.

[0032] According to an embodiment of the present application, a system embodiment of a fiber optic link management system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0033] The data detection system provided in the embodiment of the present application is as follows: Figure 1As shown, it includes a sensor module 10, a data processing and analysis module 20, a fault detection module 30, a state adjustment module 40, and a maintenance module 50, wherein: the sensor module 10 is used to transmit a signal to the optical fiber link and receive a reflected signal from the optical fiber link, wherein the sensor module 10 includes: an optical time domain reflectometer, a fiber Bragg grating sensor and a laser light source, the optical time domain reflectometer is used to transmit an optical pulse signal and receive a reflected signal, the laser light source is used to transmit an optical signal, and the fiber Bragg grating sensor is used for the reflected signal of the optical signal; the data processing and analysis module 20 is used to receive the data of the reflected signal transmitted by the sensor module 10 and perform noise reduction processing and data cleaning on the data of the reflected signal to obtain target data; the optical fiber link state data is determined according to the target data, and the link state data includes at least one of the following: optical signal loss value, signal reflection value, etc. The shooting point position and the reflected signal strength, the temperature change and strain change of the optical fiber link; the fault detection module 30 is used to determine the threshold detection result according to the link status data and the preset threshold, wherein the threshold detection result includes the data exceeding the threshold and the data not exceeding the threshold. When the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; fault identification is performed according to the link status data to determine the fault identification result, and the fault identification result includes the existence of a fault in the optical fiber link and the absence of a fault in the optical fiber link. When the fault identification result is that the optical fiber link has a fault, a fault report is generated; the state adjustment module 40 is used to adjust the optical fiber connection parameters of the optical fiber link according to the link status data, and the optical fiber connection parameters include at least one of the following: the output power of the optical signal in the optical fiber link, the optical fiber wavelength, and the optical fiber gain.

[0034] It should be noted that the various modules in the above-mentioned data detection system can be program modules (for example, a set of program instructions that implement a certain specific function) or hardware modules. For the latter, it can be expressed in the following forms, but is not limited to this: the expression form of each of the above-mentioned modules is a processor, or the functions of each of the above-mentioned modules are implemented by a processor.

[0035] Optionally, multiple sensors are deployed in the optical fiber line, and the deployment includes location selection, equipment installation and calibration.

[0036] Specifically, OTDR is deployed at key locations in the fiber link, including major relay nodes, fiber junction boxes, and key patch panels. These locations are usually the areas where link failures are most likely to occur, ensuring the comprehensiveness of link monitoring. Based on factors such as the topology of the fiber link, link length, and historical fault records, monitoring points are selected to ensure that all important areas of the link are covered. When performing link analysis, priority should be given to nodes that have a significant impact on link performance. OTDR equipment is installed on the selected nodes. The equipment should match the fiber link interface to ensure that the fiber connection is good to ensure measurement accuracy. After installation, the equipment is calibrated and adjusted to the optimal state to reduce measurement errors. The calibration process includes testing parameters such as the transmission power, receiving sensitivity, and time resolution of the optical pulse. The OTDR equipment should be installed in a shock-proof and dust-proof environment to improve the stability and accuracy of the measurement. The equipment should have good heat dissipation conditions to prevent performance degradation due to overheating.

[0037] Specifically, deploy FBG sensors at key points of the fiber optic link or in areas that require special monitoring. These points include the junctions of the fiber optic link and areas where temperature or strain changes significantly. Choose locations in the fiber optic link that are susceptible to environmental changes, such as high temperature areas or high strain areas. The deployment points of the sensors should be selected based on the impact assessment of physical changes in the link. Fix the FBG sensor on the surface or inside of the fiber optic link. The installation location of the sensor should ensure good contact with the optical fiber to stabilize the transmission signal. The installation of the FBG sensor must meet the environmental adaptability requirements, ensure that it is firmly fixed on the surface or inside of the optical fiber, and prevent the impact of external environmental changes on the sensor performance. The sensor should have waterproof and dustproof properties to adapt to the computer room environment.

[0038] Optionally, the OTDR device sends an optical pulse signal to the optical fiber link regularly (such as at regular intervals or each time the link state changes). The sending frequency can be adjusted according to the usage of the link and the monitoring requirements. The optical signal parameters in the sent optical pulse signal need to be set, including setting the power, duration and pulse width of the optical pulse to ensure that the signal can cover the length of the optical fiber link and achieve an effective reflection echo. Typical parameters include pulse widths ranging from a few nanoseconds to a few microseconds, and powers ranging from tens to hundreds of microwatts. The data processing and analysis module 20 receives the signal reflected from the optical fiber, records its time delay and intensity, and amplifies, filters and corrects the received reflected signal to ensure the accuracy and clarity of the signal. Data processing includes removing background noise and nonlinear distortion of the signal. These signals include reflected waves generated by discontinuous points in the optical fiber (such as breaks and joints).

[0039] Optionally, a laser light source is used to emit optical signals, which propagate through the optical fiber link and are reflected at the fiber Bragg grating. The wavelength, power and modulation mode of the laser light source should be configured according to the characteristics of the sensor, and the wavelength range, power and modulation mode of the laser light source should be optimized to ensure the intensity and accuracy of the reflected signal. Common wavelengths range from 1550nm to 1310nm.

[0040] Optionally, the FBG sensor receives the reflected optical signal and measures its wavelength shift. The wavelength shift reflects the temperature change and strain change of the link. The data processing and analysis module 20 converts the received optical signal into a wavelength shift and calculates the corresponding temperature and strain changes. The wavelength shift is obtained by demodulation technology to ensure the accuracy of the measurement.

[0041] In some optional embodiments of the present application, the data processing and analysis module 20 is used to determine the link status data in at least one of the following ways: determining the signal reflection point position corresponding to the reflection signal and the signal strength of the reflection signal based on the waveform information of the reflection signal of the optical pulse signal; determining the temperature change information and strain change of the optical fiber link within a preset time period based on the wavelength offset of the reflection signal of the optical signal, wherein the strain change includes the length change and bending degree change of the optical fiber.

[0042] Optionally, before data analysis, data preprocessing is performed, including noise filtering and data cleaning.

[0043] Specifically, the raw data collected by the optical time domain reflectometer (OTDR) and the fiber Bragg grating (FBG) sensor is subjected to noise filtering. A filter (such as a low-pass filter) is used to remove environmental noise and equipment noise in the signal to improve data quality. An appropriate noise model, such as a Gaussian noise model, is selected according to the actual application environment. De-noising is performed using mathematical algorithms (such as wavelet transform) to ensure data accuracy.

[0044] Specifically, data cleaning is used to check for outliers in the data and eliminate data deviations caused by equipment failure or transmission errors. Statistical methods (such as standard deviation detection) are used to identify and process abnormal data. The second is to verify the integrity of the data to ensure that data records are not lost or damaged. Data verification and redundant backup technology are used to prevent data loss.

[0045] Optionally, after data preprocessing, data analysis is performed, including at least one of the following: optical loss measurement, reflection point identification, link status map generation, temperature and strain change analysis.

[0046] Optionally, the optical loss measurement includes calculating the optical signal loss of different segments in the optical fiber link and determining the loss value of each link segment. The loss calculation formula is: Loss (dB) = 10*log10(P_in / P_out), where P_in and P_out are the input and output power of the optical signal, respectively. After determining the optical loss, a distribution diagram of the link loss is generated to show the loss of different link segments to help identify areas of increased loss.

[0047] Optionally, reflection point identification includes reflection signal analysis and fault location: Reflection signal analysis: Analyze the reflection signal waveform in the optical fiber to identify the location and strength of the reflection point. Use a signal peak detection algorithm (such as peak detection and fitting method) to locate the reflection point. Fault location: Calculate the fault location in the optical fiber link based on the time delay and strength of the reflection point. Determine the exact location of the fault point in the link by converting the time delay into distance.

[0048] Optionally, after determining the optical loss and reflection point location information and reflection intensity, a state map is generated to display the loss, reflection point and other fiber characteristics. Data visualization tools (such as heat maps) are used to display the state distribution of the link to help operation and maintenance personnel quickly identify problem areas.

[0049] Optionally, analyze the wavelength shift of the reflected light and calculate the temperature and strain changes. Use spectral analysis techniques (such as Fourier transform spectroscopy) to measure the changes in the spectrum. Calculate the changes in temperature and strain based on the wavelength shift. Use known sensor sensitivity and calibration data for calculations. Evaluate the health of the fiber link at the monitoring point based on the data from the FBG sensor. Analyze the impact of temperature and strain changes on the link to identify possible performance issues or damage. Perform trend analysis based on the temperature and strain data of the fiber link over time to predict possible failures.

[0050] In some optional embodiments of the present application, the threshold detection module is also used to determine that the threshold detection result is that the data exceeds the threshold when there is link status data exceeding the corresponding preset threshold; and to generate an alarm message when the threshold detection result is that the data exceeds the threshold, wherein the alarm information includes: fault type and fault location.

[0051] Optionally, use an efficient data processing platform (such as Hadoop, Spark) to optimize the data analysis model to improve processing speed and accuracy.

[0052] Optionally, threshold detection includes setting a normal range, adjusting a threshold, and performing detection and alarming based on the threshold:

[0053] Threshold setting: Based on historical data and the normal working status of the link, set the normal range of optical loss, reflection intensity, temperature and strain. Use statistical methods (such as mean and standard deviation) to determine the threshold. Adjust the threshold according to actual application requirements and environmental changes. For example, the threshold of optical loss can be set to 1.5 times the normal loss of the link, and the thresholds of temperature and strain are set to the upper and lower limits of the normal range. Compare the real-time collected data with the preset threshold to determine whether it exceeds the normal range. The real-time data of optical loss, reflection signal, temperature and strain are compared with the threshold. When the data exceeds the set threshold, the system automatically triggers an alarm. The alarm information includes the fault type (such as abnormal optical loss, abnormal reflection intensity, etc.), fault location and severity, and notifies the relevant operation and maintenance personnel to handle it.

[0054] In some optional embodiments of the present application, the fault detection module 30 is used to identify the link status data using a fault identification model to obtain a fault type; and generate a fault report based on the fault type, wherein the fault report includes the fault type and the fault location.

[0055] Optionally, fault detection includes fault recognition model training, real-time data input into the fault recognition model for pattern matching, fault recognition: input the real-time collected data into the trained pattern recognition model for analysis. The model performs pattern matching on the real-time data to identify whether the data conforms to the known fault pattern. The fault type of the current data is determined by calculating similarity or classification algorithm. According to the pattern matching results, the specific fault type and location are identified. A detailed fault report is generated, including the fault type, location and possible cause, for reference by operation and maintenance personnel.

[0056] Optionally, training the pattern recognition model includes: collecting and marking historical fault data, including data samples of normal status and different fault modes. The data should include features such as optical loss, reflection signal, temperature and strain. Extract features from the raw data, such as the changing trend of optical loss, the peak value of the reflection signal, and the fluctuation amplitude of temperature and strain. Select a suitable pattern recognition model (such as support vector machine (SVM), decision tree, neural network) for training. Use the training data set to optimize the model parameters and improve the classification accuracy. Regularly evaluate the performance of the fault detection algorithm, including detection accuracy, false alarm rate and missed alarm rate. Adjust the algorithm parameters or select a more suitable model based on the performance evaluation results. Optimize the algorithm to improve the accuracy and efficiency of detection. Continuously train and optimize the model with new fault data to ensure that the algorithm can adapt to new fault modes and changing link states.

[0057] In some optional embodiments of the present application, the state adjustment module 40 is used to: determine whether the link state data meets the preset standards, wherein the preset standards include at least one of the following: optical signal loss value range standard, temperature change range standard, strain change range standard; if the link state data does not meet the preset standards, adjust the optical fiber connection parameters according to the deviation of the link state data relative to the preset standards.

[0058] Optionally, the state adjustment module 40 calculates the optimal fiber connection parameters according to the data analysis results (link state data). The optimization measures include adjusting the fiber power, wavelength and gain. The specific adjustment range includes: power adjustment within ±3dB, wavelength adjustment step size of 0.1nm, and gain adjustment amplitude of ±5dB. Formulate a dynamic adjustment strategy and optimize according to the real-time state of the link. For example, if the optical loss exceeds 1dB / km, the light source power is automatically adjusted to reduce the loss.

[0059] Optionally, the state adjustment module 40 monitors real-time performance data and automatically adjusts parameters according to the real-time performance data (link state data). It includes an automatic power adjustment module, a gain control module, and a wavelength adjustment module. The power (±3dB), wavelength (±0.1nm), and gain (±5dB) of the optical fiber are adjusted in real time according to the algorithm. After each adjustment, the link performance is re-evaluated and necessary readjustments are made.

[0060] Optionally, in long-distance optical fiber transmission, the state adjustment module 40 detects that the transmission signal has obvious dispersion effect in the 1550nm band, resulting in signal distortion. The state adjustment module 40 monitors the increase in signal distortion in real time, resulting in an increase in the bit error rate. In order to reduce the dispersion effect, the state adjustment module 40 adjusts the wavelength from 1550nm to 1310nm through a tunable laser, and the dispersion in this band is relatively small. By switching the wavelength, the dispersion effect is significantly reduced, the bit error rate is reduced, and the communication quality returns to normal.

[0061] Optionally, due to changes in the external environment (such as temperature rise or mechanical damage), the optical loss of a certain section of the optical fiber link increases from the original 0.2dB / km to 1.0dB / km, and the signal power decreases. The adjustment module automatically increases the gain from the original +3dB to +6dB through the automatic gain control (AGC) module of the optical fiber amplifier according to the monitored optical loss changes to compensate for the signal loss. The signal power is restored to the expected level, ensuring that the link communication quality is not affected.

[0062] In some optional embodiments of the present application, the maintenance module 50 is used to: obtain a fault prediction result generated by a prediction model based on link status data, historical fault data and external environment data; generate a maintenance task based on the fault prediction result, wherein the fault prediction result includes a predicted fault location, a predicted fault cause, and a predicted probability, and the maintenance task is used to maintain the optical fiber link.

[0063] Optionally, the maintenance module 50 uses the historical fault records of the optical fiber link, real-time monitoring data, and external environmental data (such as temperature and humidity) to formulate a maintenance plan. Ensure that the data source is reliable and ensure the accuracy and integrity of the data by regularly calibrating sensors and data recording systems. Combined with data analysis, formulate regular inspection, preventive maintenance and fault handling plans. Regular inspections (such as once a month), preventive maintenance (such as replacement of optical fiber components), and fault handling plans are automatically generated based on real-time data and prediction results. Based on the data analysis results, maintenance tasks are automatically generated and arranged. Specifically, priority sorting and scheduling optimization algorithms are used to optimize task scheduling and improve maintenance efficiency.

[0064] In some optional embodiments of the present application, the optical fiber link management system also includes: a management platform device for displaying data processed by the sensor, data processing and analysis module 20, fault detection module 30, state adjustment module 40 and maintenance module 50 to the user.

[0065] Optionally, the management platform device integrates and displays the data of the optical fiber sensor, data acquisition, fault detection, and maintenance module 50, and ensures data compatibility and smooth transmission between the modules of the system by using a unified data interface and communication protocol, so that the data between the modules can be communicated, and the functions of real-time monitoring, fault detection, data analysis, maintenance management, etc. are realized. It also provides users with an intuitive operation interface, supports graphical display of data and setting authority management, facilitates user operation and monitoring, and continuously improves, optimizes system design and functions according to monitoring data and user feedback, and performs necessary hardware upgrades and software adjustments.

[0066] According to an embodiment of the present application, a method embodiment of a fiber optic link management method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0067] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 2 The hardware structure block diagram of a computer terminal (or mobile device) for implementing the optical fiber link management method is shown. Figure 2As shown, the computer terminal 20 (or mobile device 20) may include one or more (202a, 202b, ..., 202n are used to illustrate) processors 202 (the processor 202 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 204 for storing data, and a transmission device 206 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 2 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 2 More or fewer components as shown, or with Figure 2 Different configurations are shown.

[0068] It should be noted that the one or more processors 202 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 20 (or mobile device). As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0069] The memory 204 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the optical fiber link management method in the embodiment of the present application. The processor 202 executes various functional applications and data processing by running the software programs and modules stored in the memory 204, that is, the above-mentioned optical fiber link management method is realized. The memory 204 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 204 may further include a memory remotely arranged relative to the processor 202, and these remote memories may be connected to the computer terminal 20 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0070] The transmission device 206 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 20. In one example, the transmission device 206 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 206 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0071] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 20 (or mobile device).

[0072] In the above operating environment, the embodiment of the present application provides a method for managing an optical fiber link, such as Figure 3 As shown, the method comprises the following steps:

[0073] Step S302, receiving the data of the reflected signal transmitted by the sensor module 10 and performing noise reduction processing and data cleaning on the data of the reflected signal to obtain target data; determining the optical fiber link status data according to the target data, wherein the link status data includes at least one of the following: optical signal loss value, signal reflection point position and reflection signal strength, temperature change and strain change of the optical fiber link;

[0074] Step S304, determining a threshold detection result based on the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold. When the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; performing fault identification based on the link status data, determining a fault identification result, wherein the fault identification result includes whether the optical fiber link has a fault and whether the optical fiber link does not have a fault. When the fault identification result is that the optical fiber link has a fault, a fault report is generated;

[0075] Step S306, adjusting the optical fiber connection parameters of the optical fiber link according to the link status data, wherein the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain.

[0076] Through the above steps, the integrated system and method for real-time monitoring and fault location of optical fiber links based on optical fiber sensing technology solves the problems existing in the existing technology in real-time monitoring, automatic fault detection, dynamic adjustment, maintenance efficiency and cost control. It provides an efficient, intelligent and economical optical fiber link management solution to improve the performance and reliability of optical fiber networks. It can realize real-time monitoring of optical fiber link status, automatic fault detection and location, dynamic adjustment of optical fiber connection parameters, improve the maintenance efficiency of optical fiber links, and reduce system management costs. Specifically, this application has the following advantages:

[0077] 1. The sensor module 10 realizes real-time monitoring of the optical fiber link status and timely obtains key parameters such as loss and reflection of the optical fiber link.

[0078] 2. Provide an automated fault detection and location method, automatically identify and locate fault points in optical fiber links through real-time analysis and processing of sensor data, thereby reducing manual intervention and improving fault response speed and processing efficiency.

[0079] 3. Realize adaptive fiber connection management, automatically adjust fiber connection parameters based on real-time monitoring data, optimize link performance and stability, and improve the overall performance of the fiber optic network.

[0080] 4. Through intelligent management methods, maintenance tasks are automatically generated based on data to improve maintenance efficiency and reduce system downtime. Early warning mechanisms and intelligent maintenance suggestions are provided to ensure the stable operation of optical fiber links.

[0081] 5. Integrate various modules through management platform equipment, open interactive interfaces, and reduce management and maintenance costs. Use advanced sensor technology and automated management methods to reduce dependence on high-cost equipment and manual operations.

[0082] The embodiment of the present application provides a non-volatile storage medium, in which a program is stored, wherein when the program is running, the device where the non-volatile storage medium is located is controlled to execute the following optical fiber link management method, including: receiving the data of the reflection signal transmitted by the sensor module 10 and performing noise reduction processing and data cleaning on the data of the reflection signal to obtain target data; determining the optical fiber link status data according to the target data, the link status data including at least one of the following: optical signal loss value, signal reflection point position and reflection signal intensity, temperature change and strain change of the optical fiber link; determining the threshold detection result according to the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold, and when the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; performing fault identification according to the link status data to determine the fault identification result, the fault identification result includes the existence of a fault in the optical fiber link and the non-existence of a fault in the optical fiber link, and when the fault identification result is that the optical fiber link has a fault, a fault report is generated; adjusting the optical fiber connection parameters of the optical fiber link according to the link status data, wherein the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain.

[0083] The embodiment of the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the computer program implements the following optical fiber link management method, including: receiving data of a reflection signal transmitted by a sensor module 10 and performing noise reduction processing and data cleaning on the reflection signal data to obtain target data; determining optical fiber link status data based on the target data, the link status data including at least one of the following: optical signal loss value, signal reflection point position and reflection signal strength, temperature change and strain change of the optical fiber link; determining a threshold detection result based on the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold. When the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; performing fault identification based on the link status data to determine a fault identification result, the fault identification result includes the presence of a fault in the optical fiber link and the absence of a fault in the optical fiber link. When the fault identification result is that the optical fiber link has a fault, a fault report is generated; adjusting the optical fiber connection parameters of the optical fiber link based on the link status data, wherein the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain.

[0084] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0085] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0087] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0088] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0089] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the relevant technology or all or part of the technical solution, can be embodied in the form of a software product, which 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 perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc. Various media that can store program codes.

[0090] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An optical fiber link management system, characterized in that: It includes sensor module, data processing and analysis module, fault detection module, state adjustment module and maintenance module, among which: The sensor module is used to transmit a signal to the optical fiber link and receive a reflected signal from the optical fiber link, wherein the sensor module includes: an optical time domain reflectometer, a fiber Bragg grating sensor and a laser light source, the optical time domain reflectometer is used to transmit an optical pulse signal and receive a reflected signal, the laser light source is used to transmit an optical signal, and the fiber Bragg grating sensor is used for the reflected signal of the optical signal; The data processing and analysis module is used to receive the data of the reflected signal transmitted by the sensor module and perform noise reduction and data cleaning on the data of the reflected signal to obtain target data; determine the optical fiber link status data according to the target data, wherein the link status data includes at least one of the following: optical signal loss value, signal reflection point position and reflection signal strength, temperature change and strain change of the optical fiber link; The fault detection module is used to determine a threshold detection result based on the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold. When the detection result is that the data exceeds the threshold, an alarm message is generated, and the alarm message is used to remind the staff to perform maintenance; perform fault identification based on the link status data to determine a fault identification result, wherein the fault identification result includes that the optical fiber link has a fault and that the optical fiber link does not have a fault. When the fault identification result is that the optical fiber link has a fault, a fault report is generated; The state adjustment module is used to adjust the optical fiber connection parameters of the optical fiber link according to the link state data, and the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain.

2. The optical fiber link management system according to claim 1, characterized in that: The data processing and analysis module is used to determine the link status data in at least one of the following ways: Determining the signal reflection point position corresponding to the reflection signal and the signal strength of the reflection signal according to the waveform information of the reflection signal of the optical pulse signal; The temperature change information and strain change of the optical fiber link within a preset time period are determined according to the wavelength offset of the reflected signal of the optical signal, wherein the strain change includes the length change and the bending degree change of the optical fiber.

3. The optical fiber link management system according to claim 1, characterized in that: The threshold detection module is further configured to determine that the threshold detection result is that the data exceeds the threshold when the link status data exceeds the corresponding preset threshold; And when the threshold detection result is that the data exceeds the threshold, an alarm message is generated, wherein the alarm message includes: fault type and fault location.

4. The optical fiber link management system according to claim 1, characterized in that: The fault detection module is used to identify the link status data using a fault identification model to obtain a fault type; A fault report is generated according to the fault type, wherein the fault report includes the fault type and the fault location.

5. The optical fiber link management system according to claim 1, characterized in that: The state adjustment module is used to: Determining whether the link status data meets a preset standard, wherein the preset standard includes at least one of the following: an optical signal loss value range standard, a temperature change range standard, and a strain change range standard; In the case where the link status data does not meet the preset standard, the optical fiber connection parameters are adjusted according to the deviation of the link status data relative to the preset standard.

6. The optical fiber link management system according to claim 1, characterized in that: The maintenance module is used to: Obtain a fault prediction result generated by a prediction model based on the link status data, historical fault data and external environment data; A maintenance task is generated based on the fault prediction result, wherein the fault prediction result includes a predicted fault location, a predicted fault cause, and a predicted probability, and the maintenance task is used to maintain the optical fiber link.

7. The optical fiber link management system according to claim 1, characterized in that: The optical fiber link management system also includes: A management platform device is used to display data processed by the sensor, the data processing and analysis module, the fault detection module, the state adjustment module and the maintenance module to the user.

8. A method for managing an optical fiber link, characterized in that: include: Receive the data of the reflected signal transmitted by the sensor module and perform noise reduction and data cleaning on the data of the reflected signal to obtain target data; Determine the optical fiber link status data according to the target data, wherein the link status data includes at least one of the following: optical signal loss value, signal reflection point position and reflected signal strength, temperature change and strain change of the optical fiber link; Determine a threshold detection result based on the link status data and a preset threshold, wherein the threshold detection result includes data exceeding the threshold and data not exceeding the threshold. When the detection result is that the data exceeds the threshold, generate an alarm message, and the alarm message is used to remind the staff to perform maintenance; perform fault identification based on the link status data to determine a fault identification result, wherein the fault identification result includes that the optical fiber link has a fault and that the optical fiber link does not have a fault. When the fault identification result is that the optical fiber link has a fault, generate a fault report; The optical fiber connection parameters of the optical fiber link are adjusted according to the link status data, wherein the optical fiber connection parameters include at least one of the following: output power of the optical signal in the optical fiber link, optical fiber wavelength, and optical fiber gain.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the optical fiber link management method described in claim 8.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

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