Optical communication disaster recovery backup method and system based on EDFA amplifier
Patent Information
- Application Number
- CN202610468021.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-10
- Publication Date
- 2026-10-30
- Estimated Expiration
- 2046-04-10
AI Technical Summary
[0003]本申请提供了基于EDFA放大器的光通信容灾备份方法及系统,解决了现有技术中光通信链路出现故障时容灾倒换响应不及时,导致业务连续性保障不足的技术问题
首先,解析光纤链路的传输性能参数,基于传输性能特征部署EDFA放大器单元。然后,通过部署在光分配网络中的至少一个EDFA放大器单元,实时监测主用光纤链路的状态参数。当状态参数满足预设的倒换条件时,由控制单元作出倒换决策,控制EDFA放大器单元内部的光开关模块,将业务光路从主用光纤切换至备用光纤。最后,根据切换后的光路损耗和波长情况,调整与备用光纤路径相关的至少一个EDFA放大器的工作状态,适配切换后的业务光路。解决了现有技术中光通信链路出现故障时容灾倒换响应不及时,导致业务连续性保障不足的技术问题,实现了链路状态发生异常时快速触发倒换并完成稳定容灾切换的技术效果。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of optical communication technology, specifically to an optical communication disaster recovery backup method and system based on an EDFA amplifier. Background Technology
[0002] As the core infrastructure carrying various communication services, the reliability of optical fiber communication systems directly affects the continuity and stability of these services. In typical optical transmission networks, services usually rely on a single primary fiber path. If the primary link experiences a performance degradation due to fiber breakage, sudden attenuation changes, or optical amplifier malfunctions, a backup fiber path often needs to be activated promptly to ensure uninterrupted service. However, traditional disaster recovery and failover methods are mostly based on simple optical power detection or equipment-side alarm triggering, which cannot provide fine-grained monitoring of the link's real-time transmission performance. The timing of failover triggering is also inaccurate, easily leading to response delays. Furthermore, the transmission conditions of backup fibers differ from those of primary fibers, often requiring manual or fixed parameter calibration after failover. This lack of adaptive adjustment based on actual optical path loss and wavelength changes results in unstable service recovery quality. Summary of the Invention
[0003] This application provides a disaster recovery backup method and system for optical communication based on EDFA amplifiers, which solves the technical problem in the prior art where the disaster recovery and switching response is not timely when the optical communication link fails, resulting in insufficient service continuity guarantee.
[0004] The first aspect of this application provides a disaster recovery backup method for optical communication based on an EDFA amplifier, the method comprising: The transmission performance parameters of the optical fiber link are analyzed, and EDFA amplifier units are deployed based on the transmission performance characteristics. The status parameters of the primary optical fiber link are monitored in real time by deploying at least one EDFA amplifier unit in the optical distribution network. When the status parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switching module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber. According to the optical path loss and wavelength after the switch, the working state of at least one EDFA amplifier related to the backup optical fiber path is adjusted to adapt to the service optical path after the switch.
[0005] A second aspect of this application provides an optical communication disaster recovery backup system based on an EDFA amplifier, the system comprising: Parameter parsing component: Analyzes the transmission performance parameters of the optical fiber link and deploys EDFA amplifier units based on the transmission performance characteristics; Status monitoring component: Monitors the status parameters of the primary optical fiber link in real time through at least one EDFA amplifier unit deployed in the optical distribution network; Switching decision component: When the status parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switch module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber; Status adaptation component: Adjusts the operating status of at least one EDFA amplifier related to the backup optical fiber path according to the optical path loss and wavelength after switching, adapting to the service optical path after switching.
[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, the transmission performance parameters of the optical fiber link are analyzed, and EDFA amplifier units are deployed based on the transmission performance characteristics. Then, the status parameters of the primary optical fiber link are monitored in real time using at least one EDFA amplifier unit deployed in the optical distribution network. When the status parameters meet preset switching conditions, the control unit makes a switching decision, controlling the optical switching module inside the EDFA amplifier unit to switch the service optical path from the primary fiber to the backup fiber. Finally, based on the optical path loss and wavelength after the switch, the operating state of at least one EDFA amplifier associated with the backup fiber path is adjusted to adapt to the switched service optical path. This solves the technical problem of untimely disaster recovery switching response when optical communication links fail, leading to insufficient service continuity assurance, and achieves the technical effect of rapidly triggering switching and completing stable disaster recovery switching when link status anomalies occur. Attached Figure Description
[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0008] Figure 1 A schematic diagram of the optical communication disaster recovery backup method based on an EDFA amplifier provided in the embodiments of this application; Figure 2 A schematic diagram of the structure of an optical communication disaster recovery backup system based on an EDFA amplifier provided in this application embodiment.
[0009] Figure labeling: Parameter parsing component 11, status monitoring component 12, switchover decision component 13, status adaptation component 14. Detailed Implementation
[0010] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.
[0011] Example 1, as Figure 1 As shown, this application provides a disaster recovery backup method for optical communication based on an EDFA amplifier, wherein the method includes: Analyze the transmission performance parameters of the fiber optic link and deploy EDFA amplifier units based on the transmission performance characteristics.
[0012] In this embodiment of the application, a transmission performance dataset of the optical fiber link is obtained. The transmission performance parameters include at least key indicators characterizing the health status and transmission capability of the link, such as the link input optical power, link output optical power, optical signal-to-noise ratio, link dispersion, spectral tilt, and FEC bit error rate.
[0013] Based on the transmission distance requirements and receiver sensitivity limitations stipulated in the business plan, the transmission performance parameters are comprehensively analyzed. Power attenuation curves are used to identify loss abrupt changes and chronic attenuation regions in the link. OSNR and dispersion are used to determine the location of optical signal quality bottlenecks, and wavelength-dependent attenuation characteristics of the link are identified by considering loss differences at different wavelengths. After analyzing these characteristics, a gain compensation search is performed based on the target transmission distance, receiver optical power requirements, and allowable noise margin to match suitable EDFA amplifier types. The gain parameters, noise figure range, and wavelength amplification curve for each EDFA amplifier are calculated. Finally, based on the loss distribution and wavelength attenuation characteristics of each link segment, the deployment location and number of EDFA amplifier units are determined, completing the generation of an EDFA amplifier unit deployment strategy for the target fiber optic link. The fiber optic link is then installed and configured according to the deployment strategy to ensure a balanced gain structure along the link.
[0014] Furthermore, EDFA amplifier units are deployed based on transmission performance characteristics, wherein the EDFA amplifier unit type includes one or more of the following: preamplifier, postamplifier, repeater amplifier, or reconfigurable amplifier, and the EDFA amplifier unit includes an EDFA amplifier, an optical switch module, a monitoring module, and a control unit.
[0015] Specifically, based on the loss characteristics and signal quality requirements of different segments of the fiber optic link, the control unit selects the appropriate EDFA type by combining the transmission performance analysis results: when the signal receiving power at the beginning of the link is insufficient, a preamplifier is deployed to improve the receiver sensitivity; when the total link attenuation needs to be compensated at the end of the link to meet the receiver power requirements, a postamplifier is deployed; when there is a long-distance attenuation zone in the middle of the link or uneven loss distribution in multiple segments, a repeater amplifier is deployed to rebuild the signal power; when there is wavelength-dependent loss in the link or when dynamic topology adjustment needs to be supported in the future, a reconfigurable amplifier is deployed to achieve automatic adjustment of the gain curve, amplification band, and pump power. Each EDFA amplifier unit integrates an optical switch module for performing physical layer switching between the primary and backup optical paths; a monitoring module for real-time acquisition of key performance parameters such as input optical power, output optical power, OSNR, and spectral information; and a control unit for dynamically configuring amplifier gain, pump power, and amplification band based on the output of the monitoring module and the link operation strategy. When an abnormal link status is detected, the control unit triggers the optical switch module to perform optical path switching, thereby enabling the EDFA amplifier unit to perform amplification, monitoring, and switching control functions, achieving adaptive deployment for different link transmission scenarios.
[0016] Furthermore, the transmission performance parameters of the fiber optic link are analyzed, and EDFA amplifier units are deployed based on the transmission performance characteristics, including: Based on the real-time transmission performance parameters of the optical fiber link, including optical power, OSNR, dispersion, spectral tilt, and FEC bit error rate; according to the transmission target distance and signal reception strength constraints, attenuation anomalies are identified in the transmission performance parameters; based on the attenuation anomaly identification results, compensation searches are performed on the loss characteristics of different distances and wavelengths to determine the deployment strategy of EDFA amplifier units, including type, quantity, location, gain parameters, and wavelength amplification curve; based on the deployment strategy of EDFA amplifier units, EDFA amplifier units are deployed on the optical fiber link.
[0017] First, the real-time transmission performance parameters of the link are acquired. These parameters include key indicators characterizing the link's transmission quality and attenuation characteristics, such as the link's input and output optical power, optical signal-to-noise ratio (OSNR), dispersion, spectral tilt, and forward error correction (FEC) bit error rate. Based on the target transmission distance and the minimum signal strength required by the receiver, the control unit performs attenuation anomaly identification on these transmission performance parameters. It identifies abrupt loss points in the link by comparing power attenuation curves, determines potential quality degradation zones by analyzing changes in OSNR and FEC bit error rate, and identifies non-uniform attenuation characteristics of different wavelengths in the link using dispersion and spectral tilt information. After attenuation anomaly identification, the control unit performs compensation searches for loss differences across different distance segments and wavelengths, calculating the required gain and noise margin for each segment to form an EDFA deployment strategy. This strategy includes the appropriate EDFA amplifier unit type, the required number of amplifiers, the physical deployment locations of different amplifiers, the target gain parameter range for each amplifier, and the supported wavelength amplification curves. Finally, EDFA amplifier units are installed and configured at the corresponding locations on the fiber optic link according to the generated deployment strategy to complete the gain equalization compensation for different segments of the link. This ensures that the entire link can meet the requirements of long-distance, high-performance transmission during the static deployment phase, providing a basic guarantee for subsequent link monitoring, abnormal switching, and adaptive gain adjustment.
[0018] The status parameters of the primary fiber link are monitored in real time by deploying at least one EDFA amplifier unit in the optical distribution network.
[0019] After the selected EDFA amplifier units are installed at key nodes in the optical distribution network, the control unit activates the monitoring module inside the amplifier to continuously collect and update key performance parameters during the transmission of the primary fiber optic link in real time. The monitoring module uses an optical power detector, a spectral sampling component, and an OSNR analysis circuit to acquire link status parameters such as input optical power, output optical power, optical signal-to-noise ratio, wavelength drift, dispersion variation, and FEC bit error rate of the primary optical path, and reports these parameters to the control unit periodically or via event triggering. The control unit performs time-series analysis on the monitoring data according to a preset acquisition cycle. By comparing and analyzing trends in optical power change, OSNR decrease magnitude, spectral tilt changes, and sudden changes in bit error rate, the control unit assesses the transmission health status of the primary fiber optic link in real time.
[0020] Furthermore, it also includes: Based on the real-time monitoring status parameters of the primary optical fiber link and the location status parameters collected by the optical path robot (OPA) deployed at the network node, a digital twin optical network is constructed. Based on the digital twin optical network, service wavelength changes are analyzed to locate hidden attenuation points. Based on the hidden attenuation points, the optical switch is controlled to migrate the corresponding service wavelength to the backup optical fiber.
[0021] Based on real-time monitoring of the primary fiber optic link's status parameters, and combined with the physical location and link status parameters collected by the Optical Path Aspect (OPA) robots deployed at each network node, the control unit performs multi-source data fusion modeling of the primary fiber optic link, constructing a digital twin optical network consistent with the actual physical link topology. This digital twin optical network can synchronize in real-time the power attenuation distribution, wavelength signal quality changes, node distances, optical path folding, and possible minor mechanical displacements within the link, ensuring that the virtual link structure is temporally consistent with the physical link. After the digital twin optical network is constructed, the control unit uses this network to perform wavelength change analysis on the operating status of each service wavelength. By simulating real-time power curves, spectral tilt changes, and OSNR degradation trajectories for different wavelengths, it identifies wavelength-dependent latent attenuation points in the primary fiber. When the digital twin model determines that a certain service wavelength exhibits a slight but continuous loss degradation trend, the system combines the link location data collected by the OPA to locate the link segment to which the latent attenuation point belongs and transmits the location result back to the optical switch control module. Based on the location and impact range of the latent attenuation point, the control module selects the corresponding service wavelength, executes the optical path migration command, and automatically switches the service optical path from the primary fiber to the backup fiber, thereby avoiding the decline in service quality caused by the expansion of latent attenuation and achieving more accurate predictive disaster recovery switching.
[0022] Furthermore, based on the aforementioned digital twin optical network, analyzing service wavelength variations and locating hidden attenuation points includes: Based on the digital twin optical network, the real-time performance of each service wavelength is analyzed. When a certain wavelength experiences slight but continuous degradation, adjacent OPAs are scheduled to perform bidirectional mini-OTDR linkage ranging to locate the hidden attenuation point corresponding to the service wavelength.
[0023] The control unit continuously analyzes the real-time transmission performance of each service wavelength based on the digital twin optical network. The digital twin model can synchronously reflect the power change trajectory, OSNR attenuation trend, spectral tilt, and dispersion slight changes caused by link perturbations for each service wavelength. When the digital twin optical network detects a slight and continuously increasing performance degradation of a certain service wavelength without obvious sudden failures, it determines that the wavelength may be affected by latent attenuation factors in the link that are difficult to capture through conventional monitoring. At this time, the control unit, based on the wavelength degradation range provided by the digital twin model, schedules adjacent optical path robots (OPAs) located at both ends of the segment to perform bidirectional mini-OTDR linkage ranging. By sequentially transmitting low-energy probe pulses between two adjacent nodes and acquiring the corresponding OTDR reflection curves, the system performs matching, differential, and abnormal reflection point feature analysis on the bidirectional detection results, ultimately determining the specific location of the latent attenuation point corresponding to the service wavelength in the link, achieving accurate positioning of latent attenuation, and providing a basis for subsequent optical path switching or local line maintenance.
[0024] Furthermore, the execution of bidirectional mini-OTDR linkage ranging to locate the implicit attenuation point corresponding to the service wavelength includes: A low-energy probe pulse is sent from the first optical path robot OPA to the second optical path robot OPA to obtain a first-direction OTDR curve; a low-energy probe pulse is sent from the second optical path robot OPA to the first optical path robot OPA to obtain a second-direction OTDR curve. The first and second optical path robot OPAs are arranged adjacent to each other. The first-direction OTDR curve and the second-direction OTDR curve are reverse mapped and differentially fitted to extract unidirectional loss anomalies, determine the link location of the hidden attenuation point, and obtain the hidden attenuation point.
[0025] When a digital twin optical network determines that a certain service wavelength may have a hidden attenuation risk, the control unit schedules the adjacent first optical path robot (OPA) and second optical path robot (OPA) to begin bidirectional mini-OTDR linkage ranging. First, the first OPA emits a low-energy probe pulse towards the second OPA, and the monitoring module acquires the reflected echo signal propagating along the primary fiber link, generating an OTDR curve for the first direction. Then, the second OPA emits a low-energy probe pulse in the opposite direction towards the first OPA, acquiring the reflected echo signal propagating in the opposite direction, forming an OTDR curve for the second direction. Both OPAs are deployed at adjacent nodes of the link, enabling bidirectional detection within the same link segment. The control unit performs reverse mapping and time axis alignment on the first and second direction OTDR curves, using methods such as curve differencing, envelope fitting, and local slope change analysis to extract the difference features between the two curves at unidirectional reflection positions. When the differencing result shows a significant power dip or local reflection anomaly, the system determines that the difference position corresponds to a unidirectional loss anomaly point in the link. By combining the propagation delay of the two curves with the refractive index of the fiber, the control unit calculates the physical location of the anomaly point from any OPA, thereby determining the accurate location of the latent attenuation point in the fiber optic link and finally obtaining the latent attenuation point for subsequent optical path relocation or link maintenance decisions.
[0026] When the status parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switch module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber.
[0027] Specifically, after continuously receiving and analyzing status parameters such as input optical power, output optical power, optical signal-to-noise ratio, dispersion, and FEC bit error rate of the primary fiber optic link, the control unit compares the real-time monitoring results with pre-set switching condition thresholds. When any status parameter exceeds the limit, shows a downward trend, or exhibits characteristics that trigger switching conditions, the control unit determines that the primary fiber optic link can no longer meet the service transmission quality requirements and generates a corresponding switching decision command. Subsequently, the control unit sends the switching decision to the optical switch module inside the target EDFA amplifier unit. The optical switch module executes an optical path switching action according to the decision command, disconnecting the service signal transmission path of the primary fiber and simultaneously connecting the service optical path channel of the backup fiber, thereby achieving seamless migration of services from the primary link to the backup link at the physical layer. The entire switching process is completed under the gain maintenance and optical power stabilization mechanism of the EDFA amplifier unit, which can minimize the power surge and service interruption time at the moment of switching, and achieve fast and reliable service switching in link failure scenarios.
[0028] Furthermore, when the state parameters meet preset switching conditions, the control unit makes a switching decision, including: A multi-level threshold library is set up, which includes state parameters and corresponding switching strategies, including immediate switching, planned switching, and predictive switching. The state parameters are compared with the multi-level threshold library to identify matching switching conditions and generate switching decisions for the corresponding switching strategies.
[0029] During the deployment phase, the system pre-constructs a multi-level threshold library to standardize the relationship between different link status parameters and switching strategies. This multi-level threshold library contains multiple sets of judgment thresholds for key status parameters such as input optical power, output optical power, OSNR, dispersion, and FEC bit error rate. Three types of switching strategies are set for different degrees of performance degradation: immediate switching, planned switching, and predictive switching. Immediate switching is used to address sudden and severe link outage risks; planned switching is used to address situations where service quality has significantly deteriorated but no hard outage has yet occurred; and predictive switching is used to proactively avoid potential future performance degradation of the link. After continuously receiving real-time status parameters of the primary fiber link, the control unit compares each monitoring result with the corresponding threshold in the multi-level threshold library. By analyzing whether the parameter exceeds a certain level threshold, whether it shows a continuous deterioration trend, and the correlation changes between multi-dimensional parameters, it identifies switching conditions that match the current link status. Based on the identification results, the control unit automatically generates the corresponding switchover strategy type and execution time, such as a switchover instruction that triggers the switching action immediately, a planned switchover instruction that is executed with a delay, or a predictive switchover instruction that is triggered at a future predicted time point, thereby achieving accurate decision-making on business switchover actions under different fault scenarios.
[0030] Furthermore, generating the switching decision corresponding to the switching strategy includes: If the input optical power is lower than the first hard interruption threshold, the immediate switching is triggered; if the optical signal-to-noise ratio is lower than the first quality threshold, but the input optical power is higher than the hard interruption threshold, the planned switching is triggered; based on historical and current state parameter data, the future trend of optical link performance is predicted through a machine learning model, and when the predicted performance will be lower than a preset threshold at a future time point T, a predictive switching decision to be executed before time point T is generated.
[0031] After acquiring real-time status parameters, the control unit first determines whether the input optical power of the link is below the first hard interruption threshold. If the input optical power has dropped to a level that fails to meet the minimum sensitivity requirements of the receiver, the primary fiber link is determined to be in a state of severe attenuation or fiber breakage risk. An immediate switching strategy is then triggered to perform the service optical path switchover with the shortest possible delay, ensuring service continuity. If the input optical power is above the hard interruption threshold, but the optical signal-to-noise ratio is below the first quality threshold, it indicates that the link has experienced significant quality degradation but has not yet reached the level of interruption. In this case, the control unit triggers a planned switching strategy, completing the optical path migration within a short time according to the service-allowed switching window, preventing further quality deterioration from affecting the service. For potential performance degradation situations that cannot be directly identified through the current static threshold, the control unit inputs historical and real-time status parameters into a pre-set machine learning prediction model. The model analyzes long-term trends, short-term fluctuations, and multi-parameter correlation characteristics to predict changes in link performance over future periods. When the model determines that the link performance will drop below a preset threshold at a specific time point T in the future, the control unit generates a predictive switching decision and plans to implement optical path switching in advance before the arrival of time point T, thereby completing the service migration before the link degradation occurs and achieving proactive avoidance of potential failures.
[0032] Based on the optical path loss and wavelength after the switch, adjust the operating state of at least one EDFA amplifier associated with the backup fiber path to adapt to the service optical path after the switch.
[0033] When the service optical route switches from the primary fiber to the backup fiber, the control unit acquires the actual transmission characteristics of the backup fiber path, including the optical power distribution of the link after the switch, the loss characteristics corresponding to the wavelength, spectral tilt changes, OSNR changes, and possible dispersion differences in the backup path. The control unit compares these transmission characteristics with the theoretical gain requirements of the backup fiber to calculate the target gain, pump power adjustment range, and corresponding wavelength amplification curve correction magnitude required to maintain stable service signal transmission under the new path. Subsequently, the control unit issues an operating state adjustment command to the EDFA amplifier associated with the backup fiber path. By dynamically adjusting the pump current, optimizing the gain bandwidth, correcting the gain flattening filter parameters, or switching the appropriate amplification mode, the control unit ensures that the output gain of the EDFA amplifier is precisely matched with the loss of the backup optical path. During the adjustment process, the monitoring module provides real-time feedback on the output optical power, OSNR, and spectral characteristics. The control unit performs closed-loop fine-tuning based on the feedback results to ensure stable compensation and prevent link quality fluctuations caused by over-discharge or under-discharge. Ultimately, the adjusted EDFA amplifier's operating state is adapted to the new service optical path, achieving stable transmission under the backup fiber path.
[0034] Furthermore, it also includes: When multiple EDFA amplifier units fail successively, the physical boundary of the fault area is determined based on the topological location of the failed units. This involves obtaining the topological identifier or GPS coordinates of the failed EDFA amplifier units, calculating and outlining the minimum convex polygon boundary surrounding all failed units using graph theory algorithms, and defining the polygon boundary as the physical boundary of the fault area. Based on the physical boundary of the fault area, the control unit identifies and locks the surviving intelligent EDFA units that are still in normal operation. Based on the identification results, the connection relationship of the optical switch matrix is reconstructed. Using the surviving intelligent EDFA units as intermediate nodes, a multi-hop temporary detour optical path is constructed to bypass the fault area for migration and switching control.
[0035] When the system detects that multiple EDFA amplifier units fail successively within a short period of time, the control unit first automatically identifies the fault area based on the topological location of each failed unit. Specifically, the control unit obtains the topological identifier, link number, or corresponding GPS coordinate information of each failed EDFA amplifier unit from the network topology database or real-time monitoring system, and projects all failure points onto a unified coordinate plane. Subsequently, based on the convex hull calculation algorithm in graph theory, it constructs the minimum convex polygon boundary surrounding all failed units, and defines this polygonal region as the physical boundary of the fault area, used to characterize the spatial range of the area in the current link that cannot be carried by conventional optical paths.
[0036] After determining the boundary of the fault area, the control unit performs status screening on all EDFA amplifier units deployed in the optical communication network, identifying and locking all intelligent EDFA units located outside the fault area and still in normal operation as available nodes, thus constructing a set of available nodes. Based on this set of available nodes, the control unit re-plans optical path connectivity, reconstructing the connection relationships of the existing optical switch matrix: using surviving intelligent EDFA units as intermediate relay nodes, and according to constraints such as distance, link availability, and optical power budget, it searches for feasible paths that can bypass the fault area boundary, constructing a multi-hop temporary detour optical path formed by multiple normal nodes connected in series. Subsequently, the control unit issues migration switching commands to the corresponding optical switch modules, causing the service optical path to sequentially traverse the multi-hop detour path, physically avoiding the fault area to achieve link migration. This ensures that services can still be carried through the temporary topology in scenarios of large-area equipment failure, thereby significantly improving the resilience and disaster recovery capabilities of the optical communication network.
[0037] In summary, the embodiments of this application have at least the following technical effects: First, the transmission performance parameters of the optical fiber link are analyzed, and EDFA amplifier units are deployed based on the transmission performance characteristics. Then, the status parameters of the primary optical fiber link are monitored in real time using at least one EDFA amplifier unit deployed in the optical distribution network. When the status parameters meet preset switching conditions, the control unit makes a switching decision, controlling the optical switching module inside the EDFA amplifier unit to switch the service optical path from the primary fiber to the backup fiber. Finally, based on the optical path loss and wavelength after the switch, the operating state of at least one EDFA amplifier associated with the backup fiber path is adjusted to adapt to the switched service optical path. This solves the technical problem of untimely disaster recovery switching response when optical communication links fail, leading to insufficient service continuity assurance, and achieves the technical effect of rapidly triggering switching and completing stable disaster recovery switching when link status anomalies occur.
[0038] Example 2, based on the same inventive concept as the optical communication disaster recovery backup method based on EDFA amplifier in the previous examples, such as... Figure 2 As shown, this application provides an optical communication disaster recovery backup system based on an EDFA amplifier, wherein the system includes: Parameter parsing component 11: Parses the transmission performance parameters of the optical fiber link and deploys EDFA amplifier units based on the transmission performance characteristics; Status monitoring component 12: Monitors the status parameters of the primary optical fiber link in real time through at least one EDFA amplifier unit deployed in the optical distribution network; Switching decision component 13: When the status parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switch module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber; Status adaptation component 14: Adjusts the working state of at least one EDFA amplifier related to the backup optical fiber path according to the optical path loss and wavelength after switching, and adapts to the service optical path after switching.
[0039] Furthermore, the parameter parsing component 11 is used to perform the following method: The EDFA amplifier unit is deployed based on transmission performance characteristics. The EDFA amplifier unit type includes one or more of the following: preamplifier, postamplifier, repeater amplifier, or reconfigurable amplifier. The EDFA amplifier unit includes an EDFA amplifier, an optical switch module, a monitoring module, and a control unit.
[0040] Furthermore, the parameter parsing component 11 is used to perform the following method: Based on the real-time transmission performance parameters of the optical fiber link, including optical power, OSNR, dispersion, spectral tilt, and FEC bit error rate; according to the transmission target distance and signal reception strength constraints, attenuation anomalies are identified in the transmission performance parameters; based on the attenuation anomaly identification results, compensation searches are performed on the loss characteristics of different distances and wavelengths to determine the deployment strategy of EDFA amplifier units, including type, quantity, location, gain parameters, and wavelength amplification curve; based on the deployment strategy of EDFA amplifier units, EDFA amplifier units are deployed on the optical fiber link.
[0041] Furthermore, the status monitoring component 12 is used to perform the following methods: Based on the real-time monitoring status parameters of the primary optical fiber link and the location status parameters collected by the optical path robot (OPA) deployed at the network node, a digital twin optical network is constructed. Based on the digital twin optical network, service wavelength changes are analyzed to locate hidden attenuation points. Based on the hidden attenuation points, the optical switch is controlled to migrate the corresponding service wavelength to the backup optical fiber.
[0042] Furthermore, the status monitoring component 12 is used to perform the following methods: Based on the digital twin optical network, the real-time performance of each service wavelength is analyzed. When a certain wavelength experiences slight but continuous degradation, adjacent OPAs are scheduled to perform bidirectional mini-OTDR linkage ranging to locate the hidden attenuation point corresponding to the service wavelength.
[0043] Furthermore, the status monitoring component 12 is used to perform the following methods: A low-energy probe pulse is sent from the first optical path robot OPA to the second optical path robot OPA to obtain a first-direction OTDR curve; a low-energy probe pulse is sent from the second optical path robot OPA to the first optical path robot OPA to obtain a second-direction OTDR curve. The first and second optical path robot OPAs are arranged adjacent to each other. The first-direction OTDR curve and the second-direction OTDR curve are reverse mapped and differentially fitted to extract unidirectional loss anomalies, determine the link location of the hidden attenuation point, and obtain the hidden attenuation point.
[0044] Furthermore, the switching decision component 13 is used to perform the following method: A multi-level threshold library is set up, which includes state parameters and corresponding switching strategies, including immediate switching, planned switching, and predictive switching. The state parameters are compared with the multi-level threshold library to identify matching switching conditions and generate switching decisions for the corresponding switching strategies.
[0045] Furthermore, the switching decision component 13 is used to perform the following method: If the input optical power is lower than the first hard interruption threshold, the immediate switching is triggered; if the optical signal-to-noise ratio is lower than the first quality threshold, but the input optical power is higher than the hard interruption threshold, the planned switching is triggered; based on historical and current state parameter data, the future trend of optical link performance is predicted through a machine learning model, and when the predicted performance will be lower than a preset threshold at a future time point T, a predictive switching decision to be executed before time point T is generated.
[0046] Furthermore, the state adaptation component 14 is used to perform the following method: When multiple EDFA amplifier units fail successively, the physical boundary of the fault area is determined based on the topological location of the failed units. This involves obtaining the topological identifier or GPS coordinates of the failed EDFA amplifier units, calculating and outlining the minimum convex polygon boundary surrounding all failed units using graph theory algorithms, and defining the polygon boundary as the physical boundary of the fault area. Based on the physical boundary of the fault area, the control unit identifies and locks the surviving intelligent EDFA units that are still in normal operation. Based on the identification results, the connection relationship of the optical switch matrix is reconstructed. Using the surviving intelligent EDFA units as intermediate nodes, a multi-hop temporary detour optical path is constructed to bypass the fault area for migration and switching control.
[0047] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. A disaster recovery backup method for optical communication based on an EDFA amplifier, characterized in that, The method includes: Analyze the transmission performance parameters of the fiber optic link and deploy EDFA amplifier units based on the transmission performance characteristics; The status parameters of the primary fiber link are monitored in real time by deploying at least one EDFA amplifier unit in the optical distribution network. When the state parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switch module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber. Based on the optical path loss and wavelength after switching, adjust the operating state of at least one EDFA amplifier associated with the backup fiber path to adapt to the service optical path after switching. Also includes: Based on the real-time monitoring status parameters of the primary fiber optic link, and combined with the location status parameters collected by the optical path robot (OPA) deployed at the network nodes, a digital twin optical network is constructed. Based on the aforementioned digital twin optical network, service wavelength variation analysis is performed to locate hidden attenuation points; Based on the aforementioned latent attenuation point, the optical switch is controlled to shift the corresponding service wavelength to the backup optical fiber; Based on the aforementioned digital twin optical network, service wavelength variation analysis is performed to locate hidden attenuation points, including: The real-time performance of each service wavelength is analyzed based on the digital twin optical network. When a certain wavelength experiences slight but continuous degradation, adjacent OPAs are scheduled to perform bidirectional mini-OTDR linkage ranging to locate the hidden attenuation point corresponding to the service wavelength. The step of performing bidirectional mini-OTDR linkage ranging to locate the implicit attenuation point corresponding to the service wavelength includes: A low-energy detection pulse is sent from the first optical path robot OPA to the second optical path robot OPA to obtain the OTDR curve in the first direction; A low-energy detection pulse is sent from the second optical path robot OPA to the first optical path robot OPA to obtain the second direction OTDR curve. The first optical path robot OPA and the second optical path robot OPA are set adjacent to each other. The first-direction OTDR curve and the second-direction OTDR curve are reverse mapped and differentially fitted to extract unidirectional loss anomalies, determine the link location of the hidden attenuation point, and obtain the hidden attenuation point.
2. The optical communication disaster recovery backup method based on an EDFA amplifier according to claim 1, characterized in that, The EDFA amplifier unit is deployed based on transmission performance characteristics. The EDFA amplifier unit type includes one or more of the following: preamplifier, postamplifier, repeater amplifier, or reconfigurable amplifier. The EDFA amplifier unit includes an EDFA amplifier, an optical switch module, a monitoring module, and a control unit.
3. The optical communication disaster recovery backup method based on an EDFA amplifier according to claim 2, characterized in that, Analyze the transmission performance parameters of the fiber optic link and deploy EDFA amplifier units based on the transmission performance characteristics, including: Based on the real-time transmission performance parameters of the optical fiber link, including optical power, OSNR, dispersion, spectral tilt, and FEC bit error rate; Based on the transmission target distance and signal reception strength constraints, attenuation anomalies are identified in the transmission performance parameters. Based on the attenuation anomaly identification results, compensation searches are conducted for loss characteristics at different distances and wavelengths to determine the deployment strategy of EDFA amplifier units, including type, quantity, location, gain parameters, and wavelength amplification curves. Based on the deployment strategy of the EDFA amplifier unit, the EDFA amplifier unit is deployed on the optical fiber link.
4. The optical communication disaster recovery backup method based on an EDFA amplifier according to claim 1, characterized in that, When the state parameters meet the preset switching conditions, the control unit makes a switching decision, including: Set up a multi-level threshold library, which includes status parameters and corresponding switching strategies, including immediate switching, planned switching, and predictive switching; By comparing the state parameters with the multi-level threshold library, matching switching conditions are identified, and switching decisions corresponding to the switching strategy are generated.
5. The optical communication disaster recovery backup method based on an EDFA amplifier according to claim 4, characterized in that, Generate switching decisions for the corresponding switching strategy, including: If the input optical power is lower than the first hard interrupt threshold, the immediate switchover is triggered; If the optical signal-to-noise ratio is lower than the first quality threshold, but the input optical power is higher than the first hard interrupt threshold, the planned switchover is triggered. Based on historical and current state parameter data, a machine learning model is used to predict the future trend of optical link performance. When the predicted performance will be lower than a preset threshold at a future time point T, a predictive switching decision is generated to be executed before time point T.
6. The optical communication disaster recovery backup method based on an EDFA amplifier according to claim 1, characterized in that, Also includes: When multiple EDFA amplifier units are detected to fail successively, the physical boundary of the fault area is determined according to the topological location of the failed units. Specifically, the topological identifier or GPS coordinates of the failed EDFA amplifier units are obtained, and the minimum convex polygon boundary surrounding all failed units is calculated and delineated based on graph theory algorithms. The polygon boundary is defined as the physical boundary of the fault area. Based on the physical boundaries of the fault area, the control unit identifies and locks the surviving intelligent EDFA units that are still in normal condition. Based on the identification results, the connection relationship of the optical switch matrix is reconstructed. The surviving intelligent EDFA unit is used as the intermediate node to construct a multi-hop temporary detour optical path that bypasses the fault area for migration and switching control.
7. An optical communication disaster recovery backup system based on an EDFA amplifier, characterized in that, The system is used to implement the optical communication disaster recovery backup method based on an EDFA amplifier according to any one of claims 1-6, the system comprising: Parameter parsing component: Analyzes the transmission performance parameters of the fiber optic link and deploys EDFA amplifier units based on the transmission performance characteristics; Status monitoring component: Real-time monitoring of status parameters of the primary fiber link through at least one EDFA amplifier unit deployed in the optical distribution network; Switching decision component: When the status parameters meet the preset switching conditions, the control unit makes a switching decision and controls the optical switch module inside the EDFA amplifier unit to switch the service optical path from the primary optical fiber to the backup optical fiber; State adaptation component: Based on the optical path loss and wavelength after the switch, adjust the operating state of at least one EDFA amplifier associated with the backup optical fiber path to adapt to the service optical path after the switch.
Citation Information
Patent Citations
Optical fiber abnormal loss point detection method, device, equipment and medium
CN120377999A
On-line monitoring multi-main-path power optical fiber automatic switching protection system and method
CN120639168A
