Light path-free detection method, detection system, controller and medium

Abstract

This application discloses a method, system, controller, and medium for detecting optical pathlessness. The detection method is applied to an optical transceiver component in an optical pathlessness scenario. The optical transceiver component is equipped with a probe light. The method includes acquiring first power spectrum data at the output of the current optical transceiver component and second optical power spectrum data at the input of a downstream optical transceiver component using the probe light. The optical parameters of the optical layer model are calibrated based on the first and second power spectrum data to obtain an optimized target optical layer model. In response to a service switch to an optical pathlessness scenario, the optical signal-to-noise ratio (OSNR) of the optical pathlessness is determined based on the target optical layer model. Through the above method, this application can effectively calibrate the parameters of the underlying optical layer model in an optical pathlessness scenario, improve prediction accuracy, and thus achieve high-precision OSNR prediction from end to end, thereby improving the success rate of service recovery routing during optical network operation and maintenance and providing higher quality network services.

Description

Technical Field

[0001] This application relates to the fields of optical communication and sensing, and in particular to a detection method, detection system, controller and medium without a light path. Background Technology

[0002] Quality of Transmission (QoT) is a comprehensive measure of the performance and reliability of optical signal transmission in an optical network system. In existing optical network systems, QoT assessment primarily involves collecting performance parameters at each node (such as channel optical power, service code type, fiber type and length, optical amplifier type, and gain settings), combined with impairment models of the optical system (such as optical amplifiers, optical fibers, and optical modules). This allows for the perception and optimization of the performance of any node in the optical network, and has significant application value in optical network operation and maintenance.

[0003] However, in practical applications, the generalization ability of the model faces many challenges, such as aging of optical cable attenuation, device aging, and temperature cycle changes. In existing optical networks, the built-in calibration data of the underlying device model is often unavailable, and only empirical values ​​can be used. This makes it impossible for the current detection methods for backup no-light paths to effectively calibrate the undetermined parameters of the model, resulting in poor accuracy of the current no-light path detection methods. Furthermore, it makes it impossible to effectively estimate high-precision data such as optical signal-to-noise ratio when service restoration occurs in optical network operation and maintenance, resulting in a low success rate when service restoration occurs in optical network operation and maintenance. Summary of the Invention

[0004] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.

[0005] This application provides a method, system, controller, and medium for detecting optical paths without light paths. It can solve the technical problem of not being able to effectively estimate the optical signal-to-noise ratio when service recovery routes occur during optical network operation and maintenance, so as to provide higher quality network services.

[0006] In a first aspect, embodiments of this application provide a method for detecting a pathless optical path, applied to an optical transceiver component in a pathless optical path, the optical transceiver component being configured with a probe light, the method comprising:

[0007] The probe light is used to acquire the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component of the current optical transceiver component.

[0008] The optical parameters of the optical layer model are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model.

[0009] In response to a service switch to the light-free path, the optical signal-to-noise ratio of the light-free path is determined based on the target optical layer model.

[0010] Secondly, embodiments of this application provide a detection system without a light path, comprising:

[0011] The probe light is used to acquire the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component of the current optical transceiver component.

[0012] An optical transceiver component is configured to calibrate the optical parameters of an optical layer model based on the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model; and, in response to a service switch to the optical path without light, to determine the optical signal-to-noise ratio of the optical path without light based on the target optical layer model.

[0013] In some embodiments, the optical probe light is also used to acquire third power spectrum data at the input of the current optical transceiver component when the service is switched to the optical pathless path. The third power spectrum data is used to input the target optical layer model so as to obtain the optical signal-to-noise ratio and target channel power of the optical pathless path through the target optical layer model.

[0014] Thirdly, embodiments of this application provide a controller, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for detecting a lightless path as described in any embodiment of the first aspect.

[0015] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions for performing the detection method for a light-free path as described in any embodiment of the first aspect.

[0016] The detection method, detection system, controller, and medium for optical path-less operation proposed in this application have at least the following beneficial effects: This application can accurately and effectively acquire the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component through the probe light configured in the optical transceiver component. The optical parameters of the optical layer model are calibrated based on the first and second power spectrum data to improve the prediction accuracy of the optical layer model and obtain an optimized target optical layer model. Furthermore, when the current optical transceiver component responds to a service switch to the optical path-less operation, the optical signal-to-noise ratio (SNR) of the optical path-less operation can be determined based on the target optical layer model. This enables high-precision end-to-end SNR prediction in scenarios such as link degradation and interfacing between new and old equipment under optical path-less operation. Furthermore, the obtained SNR can be used to perform performance perception and optimization on any node in the optical network, improving the success rate of service recovery routing during optical network maintenance. This effectively reduces network maintenance costs and improves network maintenance efficiency, enhancing the performance and reliability of the entire optical network to provide higher quality network services.

[0017] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0018] Figure 1 A flowchart of a method for detecting a pathless path according to another embodiment of this application;

[0019] Figure 2 This is a schematic diagram of an optical network proposed in an embodiment of this application;

[0020] Figure 3 Proposed for another embodiment of this application Figure 1 The flowchart of step S120 in the middle;

[0021] Figure 4 Proposed for another embodiment of this application Figure 3 The flowchart of the additional steps following step S330;

[0022] Figure 5 Proposed for another embodiment of this application Figure 3 Flowchart of additional steps preceding step S340;

[0023] Figure 6 Proposed for another embodiment of this application Figure 1 The flowchart of step S130 in the process;

[0024] Figure 7Proposed for another embodiment of this application Figure 6 The flowchart of step S620 in the middle;

[0025] Figure 8 Proposed for another embodiment of this application Figure 7 The flowchart of the additional steps following step S730;

[0026] Figure 9 This is a flowchart illustrating the determination of the multiplexed optical signal-to-noise ratio of the optical pathless path, as proposed in another embodiment of this application.

[0027] Figure 10 This is a schematic diagram of an optical transceiver component according to another embodiment of this application;

[0028] Figure 11 An example diagram of the optimized target light layer model obtained in the detection method without light path proposed in another embodiment of this application;

[0029] Figure 12 This is an example diagram illustrating the determination of the optical signal-to-noise ratio based on a target optical layer model in a method for detecting a pathless optical path proposed in another embodiment of this application.

[0030] Figure 13 This is a schematic diagram of a controller proposed in another embodiment of this application.

[0031] Figure label:

[0032] 201. Working path; 202. Backup path; 203. Upstream optical cross-connect station; 204. Downstream optical cross-connect station; 205. Intermediate optical cross-connect station; 1001. Current optical transceiver component output; 1002. Downstream optical transceiver component; 1003. WSS high isolation port. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0034] In some embodiments, although functional modules are divided in the system diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the system or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the foregoing drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0035] Furthermore, unless otherwise explicitly specified and limited, the term "connection / linkage" should be interpreted broadly, for example, it can be a fixed connection or a movable connection, a detachable connection or a non-detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection or a connection that can communicate with each other; it can be a direct connection or an indirect connection through an intermediate medium.

[0036] In the description of the embodiments in this application, the terms "one embodiment / implementation," "another embodiment / implementation," or "some embodiments / implementations," "in the above embodiments / implementations," etc., refer to specific features, structures, materials, or characteristics described in conjunction with embodiments or examples that are included in at least two embodiments or implementations disclosed in this application. In this disclosure, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or implementation. It should be noted that although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be performed in a different order than that shown in the flowcharts.

[0037] In related technologies, optical system transmission quality is a comprehensive measure of the performance and reliability of optical signal transmission in an optical network system. In existing optical network systems, optical system transmission quality assessment mainly involves collecting performance parameters at each node (such as channel optical power, service code type, fiber type and length, optical amplifier type, gain settings, etc.) and combining them with optical system impairment models (such as optical amplifiers, optical fibers, optical modules, etc.) to achieve perception and optimization of the performance of any node in the optical network. This has significant application value in optical network operation and maintenance. On optical-free paths (i.e., backup / recovery paths), due to the limited performance data available, the prediction difficulty of backup path models increases compared to the optical signal-to-noise ratio (SNR) estimation of the working path. If the underlying model can achieve high-precision SNR prediction, it can guide operation and maintenance tools to configure reasonable preset attenuation for each optical service, thereby improving the single-time recovery success rate of switching to an optical-free backup path when the optical path experiences route recovery.

[0038] However, in practical applications, the generalization ability of the model faces many challenges, such as aging of optical cable attenuation, device aging, and temperature cycle changes. In existing optical networks, the built-in calibration data of the underlying device model is often unavailable, and only empirical values ​​can be used. This makes it impossible for the current detection methods for backup no-light paths to effectively calibrate the undetermined parameters of the model, resulting in poor accuracy of the current no-light path detection methods. Furthermore, it makes it impossible to effectively estimate high-precision data such as optical signal-to-noise ratio when service restoration occurs in optical network operation and maintenance, resulting in a low success rate when service restoration occurs in optical network operation and maintenance.

[0039] Based on this, this application discloses a method, system, controller, and medium for detecting optical paths without light. The detection method is applied to an optical transceiver component in an optical path without light. The optical transceiver component is equipped with a probe light. The method includes acquiring first power spectrum data at the output end of the current optical transceiver component and second optical power spectrum data at the input end of the downstream optical transceiver component through the probe light. The optical parameters of the optical layer model are calibrated based on the first and second power spectrum data to obtain an optimized target optical layer model. In response to a service switch to an optical path without light, the optical signal-to-noise ratio (OSNR) of the optical path without light is determined based on the target optical layer model. Through the above method, this application can effectively calibrate the parameters of the underlying optical layer model without light, improve prediction accuracy, and thus achieve high-precision end-to-end OSNR prediction to improve the success rate of service recovery routing during optical network operation and maintenance.

[0040] The embodiments of this application will be further described below with reference to the accompanying drawings.

[0041] refer to Figure 1 , Figure 1 The flowchart is for another embodiment of the detection method for a no-light path proposed in this application. In a first aspect, the embodiment of this application provides a detection method for a no-light path, which is applied to an optical transceiver component in a no-light path. The optical transceiver component is equipped with a probe light. The method may include, but is not limited to, steps S110 to S130.

[0042] Step S110: Obtain the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component through the probe light;

[0043] Step S120: The optical parameters of the optical layer model are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model.

[0044] Step S130: In response to the service switching to a no-light path, determine the optical signal-to-noise ratio of the no-light path based on the target optical layer model.

[0045] According to steps S110 to S130 of the embodiments of this application, the probe light configured in the optical transceiver component can accurately and effectively acquire the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component. The optical parameters of the optical layer model are calibrated based on the first and second power spectrum data to improve the prediction accuracy of the optical layer model and obtain an optimized target optical layer model. Furthermore, when the current optical transceiver component responds to a service switch to a path without light, the optical signal-to-noise ratio (SNR) of the path without light can be determined based on the target optical layer model. This enables high-precision end-to-end SNR prediction in scenarios such as link degradation and interfacing between new and old equipment under pathless conditions. The obtained SNR can also be used to perform performance perception and optimization on any node in the optical network, improving the success rate of service recovery routing during optical network maintenance. This effectively reduces network maintenance costs and improves network maintenance efficiency, thereby enhancing the performance and reliability of the entire optical network and providing higher quality network services.

[0046] The above is a general description of steps S110 to S130. Steps S110 to S130 will be described in detail below.

[0047] In step S110, the first power spectrum data of the output end of the current optical transceiver component and the second optical power spectrum data of the input end of the downstream optical transceiver component are obtained by probe light.

[0048] Please refer to Figure 2 , Figure 2 This is a schematic diagram of an optical network proposed in one embodiment of this application. In some embodiments, the optical transceiver component corresponding to the optical pathless detection method provided in this application is set in... Figure 2 On the upstream optical cross-connect station 203, the intermediate optical cross-connect station 205, and the downstream optical cross-connect station 204, Figure 2The working path 201 corresponds to the optical path under normal operating conditions, while the backup path 202 corresponds to the optical-free path. Its characteristic is that when the optical transceiver component implements the method of this application, it needs to configure probe light at the beginning and end of each multiplexing segment (optical cross-site) through the underlying hardware of the optical cross-site. This ensures that probe light is routed at the output of the current optical transceiver component at the upstream optical cross-site 203 and de-routed at the input of the downstream optical transceiver component at the downstream optical cross-site 205. During this process, the probe light is routed through the upstream optical cross-site 203, the intermediate optical cross-site 205, and the downstream optical cross-site 204. The probe light corresponds to the data to obtain the first power spectrum data at the output end of the current optical transceiver component and the second optical power spectrum data at the input end of the downstream optical transceiver component. This enables end-to-end service optical signal-to-noise ratio (SNR) prediction when service recovery switching occurs on the backup path 202 (no optical path). At the same time, the optical parameters in the link optical layer model are calibrated so that when service recovery switching actually occurs, the service SNR can be predicted. Then, based on the obtained SNR, performance perception and optimization can be performed on any node in the optical network, improving the success rate of service recovery routing during optical network operation and maintenance.

[0049] In some embodiments, before this application acquires the first power spectrum data of the output end of the current optical transceiver component and the second optical power spectrum data of the input end of the downstream optical transceiver component of the current optical transceiver component through probe light, this application first configures and turns on the probe light so that it fills the entire supported band as much as possible with a fixed grid and bandwidth, so that the probe light entering the lightless path is in a full-wave state, thereby reducing errors and improving prediction accuracy.

[0050] Specifically, taking a scenario with a 3dB spectral width of 37.5GHz, a 50GHz grid, 120-wavelength fill, and support for a 6THz C-band spectral width as an example, when there are a few services on the backup path (no-light path), the probe optical bandwidth needs to be adjusted in 6.25 GHz increments using a wavelength selection switch to ensure it differs from the edge of any potential service waves by at least 12.5 GHz, thus avoiding possible crosstalk and improving prediction accuracy. Simultaneously, the single-wavelength input fiber power needs to be configured according to the application model requirements. This allows for effective acquisition of the output channel power of the optical power amplifier via the optical performance monitor on the output side of the current optical transceiver component after the probe light is activated.

[0051] In step S120, the optical parameters of the optical layer model are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model.

[0052] Please refer to Figure 3 , Figure 3 Proposed for another embodiment of this application Figure 1The flowchart of step S120 shows that, in some embodiments, the optical layer model includes a fiber Raman model, an insertion loss model, and an optical amplifier model. The optical parameters of the optical layer model are calibrated based on the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model. This may include, but is not limited to, steps S310 to S340:

[0053] Step S310: The optical parameters in the fiber Raman model are calibrated and calculated based on the first power spectrum data to obtain the optimized target fiber Raman model and the first fiber output power spectrum.

[0054] Step S320: The optical parameters in the insertion loss model are calibrated and calculated based on the first fiber output power spectrum and the total input power reported by the non-optical path to obtain the optimized target insertion loss model and the first insertion loss output power spectrum.

[0055] Step S330: Based on the first insertion loss output power spectrum and the total output power reported by the optical path-free system, the optical parameters in the optical amplifier model are calibrated and calculated to obtain the optimized target optical amplifier model and the first amplifier output power spectrum.

[0056] Step S340: If the power error is determined to be less than the preset power threshold based on the output power spectrum of the first amplifier and the second optical power spectrum data, the target fiber Raman model, the target insertion loss model and the target optical amplifier model are determined as the target optical layer model.

[0057] In some embodiments, step S310 corresponds to the process of probe light entering the optical fiber. By running the optical fiber Raman model, the output power spectrum of the optical fiber can be calculated, and the optical parameters therein can be calibrated according to the final iteration error. The optical parameters include, but are not limited to, optical fiber wavelength-dependent loss, optical fiber Raman coefficient β, etc., so as to improve the prediction accuracy of the optical fiber Raman model.

[0058] In some embodiments, when the optical parameters include the fiber Raman coefficient β, the fiber Raman coefficient β can be effectively calibrated by obtaining link data from probe light with different input powers twice on the corresponding link of the lightless path. The link data includes first power spectrum data and second optical power spectrum data.

[0059] In step S320 of some embodiments, when calibrating the optical parameters in the insertion loss model, it is necessary to calculate that the total power value of the input power spectrum of the insertion loss model must be consistent with the total input power reported by the optical path in the link. If they are inconsistent, the input power spectrum of the insertion loss model is calibrated. The optical parameters in the insertion loss model include device wavelength-dependent loss, and the total input power reported by the optical path includes the total input power reported by optical amplifiers such as the preamplifier, optical power amplifier, and line optical amplifier, so as to improve the prediction accuracy of the insertion loss model.

[0060] In step S330 of some embodiments, the probe light enters the optical amplifier model, and the amplifier output power spectrum can be calculated. In this application method, the optical parameters in the optical amplifier model are calibrated based on the final iteration error. The optical parameters in the optical amplifier model include, but are not limited to, amplifier spectral enhancement function variables, amplifier noise figure spectral function variables, and amplifier spectral aperture burning function variables, so as to effectively improve the prediction accuracy of the optical amplifier model.

[0061] In some embodiments, the total power value of the output power spectrum of the optical amplifier needs to be consistent with the total output power reported by the optical pathless system. If they are inconsistent, the output power spectrum of the optical amplifier model is calibrated. The total output power reported by the optical pathless system includes the total output power reported by optical amplifiers such as the preamplifier, optical power amplifier, and line optical amplifier.

[0062] In step S340 of some embodiments, the difference between the second optical power spectrum data read from the input end of the downstream optical transceiver component of the current optical transceiver component and the calculated first amplifier output power spectrum is obtained to obtain the model channel power error Err. Furthermore, if the error Err is less than a preset power threshold, it indicates that the accuracy of the current calibrated and optimized model is high, the model parameter calibration has enabled the end-to-end drop-through service to achieve the real detection result, and the accuracy of the target optical layer model is sufficient. At this time, the target fiber Raman model, the target insertion loss model, and the target optical amplifier model can be determined as the target optical layer model. The target optical layer model has the optical signal-to-noise ratio to determine the optical path in subsequent steps. By confirming the model channel power error, the effectiveness of parameter calibration can be ensured.

[0063] Please refer to Figure 4 , Figure 4 Proposed for another embodiment of this application Figure 3 The flowchart of additional steps after step S330, in some embodiments, after obtaining the optimized target optical amplifier model and the first amplifier output power spectrum, also includes, but is not limited to, steps S410 to S420:

[0064] Step S410: If the power error is determined to be greater than or equal to a preset power threshold based on the first amplifier output power spectrum and the second optical power spectrum data, the calibration difference is obtained based on the power error and the number of optical transmission segment layers without light path, wherein the power error is the difference between the first amplifier output power spectrum and the second optical power spectrum.

[0065] Step S420: Perform error calibration on the target fiber Raman model based on the calibration difference, and perform calibration calculations on the optical parameters in the target fiber Raman model, target insertion loss model, and target optical amplifier model after error calibration, so that the power error obtained after calibration calculation is less than the preset power threshold.

[0066] In step S420 of some embodiments, if the power error is determined to be greater than or equal to a preset power threshold based on the first amplifier output power spectrum and the second optical power spectrum data, the steps of calibrating and calculating the optical parameters in the fiber Raman model, the insertion loss model, and the optical amplifier model obtained after error calibration will be iteratively executed again based on the output result of the target fiber Raman model. That is, the processing in steps S310 to S330 is iteratively executed once to output a new first amplifier output power spectrum. This process can be repeated iteratively multiple times until the power error obtained after calculating the first amplifier output power spectrum in the current round is less than the preset power threshold, so as to ensure that the accuracy of the current calibrated and optimized model can enable the end-to-end drop-out service to achieve the real detection result, thereby completing the error calibration processing of the optical parameters of the optical layer model.

[0067] In some embodiments, steps S410 and S420 correspond to the case where the power error is greater than or equal to a preset power threshold. In this case, it indicates that the model parameter calibration has caused a significant difference between the end-to-end dropout service and the actual detection results. The target optical layer model has low accuracy and does not meet the accuracy requirements. Therefore, model parameter calibration is required to make the channel sharing error corresponding to each optical transmission segment layer Err / N, where N is the total number of optical transmission segment layers. By continuously calibrating the target fiber Raman model and repeating the subsequent calibration calculation process of the target fiber Raman model, target insertion loss model, and target optical amplifier model, until the corresponding power error is less than the preset power threshold, the target optical layer model obtained after model parameter calibration can achieve the actual detection results, thereby realizing high-precision optical signal-to-noise ratio prediction for the end-to-end service.

[0068] Please refer to Figure 5 , Figure 5 Proposed for another embodiment of this application Figure 3 In some embodiments, before step S340, the additional steps include, but are not limited to, steps S510 to S520, before determining that the power error is less than a preset power threshold based on the first amplifier output power spectrum and the second optical power spectrum data:

[0069] Step S510: If the output power spectrum of the first amplifier does not reach the input end of the downstream optical transceiver component, the optical parameters in the optical layer model of the optical fiber segment and the optical amplifier that have not been traversed on the optical path are calibrated and calculated based on the output power spectrum of the first amplifier.

[0070] Step S520: When the output power spectrum of the first amplifier reaches the input end of the downstream optical transceiver component, determine whether the power error determined by the first amplifier output power spectrum and the second optical power spectrum data is less than a preset power threshold.

[0071] In some embodiments, step S510 corresponds to the case where the probe light does not reach the optical cross-station (end of the multiplexing section). In this case, since the output power spectrum of the first amplifier has not passed through the complete optical path link, that is, the calibration and optimization of the models corresponding to all fiber segments and optical amplifiers on the optical path have not been completed, the output power spectrum of the first amplifier cannot represent the final channel power of the optical path. Therefore, the optical parameters in the fiber Raman model, insertion loss model and optical amplifier model corresponding to the fiber segments and optical amplifiers that have not been passed on the optical path are calibrated and calculated according to the output power spectrum of the first amplifier, so as to continue to optimize and calibrate the remaining models until the entire optical path link is passed and the optimization and calibration of the entire path model is completed.

[0072] In some embodiments, step S520 corresponds to the case where the probe light arrives at the optical cross-station (end of the multiplexing section). In this case, the calibration and optimization of the models corresponding to all fiber segments and optical amplifiers on the optical path have been completed. The output power spectrum of the first amplifier can be directly used to represent the final channel power of the optical path. Then, the subsequent judgment is performed based on the output power spectrum of the first amplifier and the second optical power spectrum data to determine that the power error is less than the preset power threshold, so as to determine the target fiber Raman model, the target insertion loss model and the target optical amplifier model as the target optical layer model.

[0073] In step S130, in response to a service switch to a non-light path, the optical signal-to-noise ratio of the non-light path is determined based on the target optical layer model.

[0074] In some embodiments, in response to a service switching to a non-light path, i.e., when a recovery switchover service switches from the working path to a non-light backup path, end-to-end optical signal-to-noise ratio prediction is achieved based on the optimized target optical layer model in the above embodiments.

[0075] Please refer to Figure 6 , Figure 6 Proposed for another embodiment of this application Figure 1 In the flowchart of step S130, in some embodiments, the optical signal-to-noise ratio without an optical path is determined based on the target optical layer model, including but not limited to steps S610 to S620:

[0076] Step S610: Obtain the third power spectrum data of the current optical transceiver component input terminal through probe light;

[0077] Step S620: Input the third power spectrum data into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without optical path.

[0078] In step S610 of some embodiments, the third power spectrum data of the current optical transceiver component input obtained by the probe light is the optical power spectrum data of the real service, so as to realize end-to-end optical signal-to-noise ratio prediction when the recovery switching service switches from the working path to the lightless backup path.

[0079] In step S620 of some embodiments, the third power spectrum data is input into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without an optical path, i.e., the process of the corresponding real service light sequentially entering the optical fiber segment without an optical path and the optical amplifier. In this process, since the optical layer model without an optical path has been calibrated and optimized in the above step S120, the optical signal-to-noise ratio without an optical path can be determined according to the target optical layer model, realizing high-precision optical signal-to-noise ratio prediction from end to end of the service, thereby improving the success rate of service recovery routing when optical network operation and maintenance occurs.

[0080] Please refer to Figure 7 , Figure 7 Proposed for another embodiment of this application Figure 6 In the flowchart of step S620, in some embodiments, the target optical layer model includes a target fiber Raman model, a target insertion loss model, and a target optical amplifier model. The third power spectrum data is input into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without an optical path, including but not limited to steps S710 to S740:

[0081] Step S710: Input the third power spectrum data into the target fiber Raman model to obtain the second fiber output power spectrum;

[0082] Step S720: Input the second fiber output power spectrum into the target insertion loss model to obtain the second insertion loss output power spectrum;

[0083] Step S730: Input the second insertion loss output power spectrum into the target optical amplifier model to obtain the second amplifier output power spectrum;

[0084] In step S740, when the output power spectrum of the second amplifier reaches the input end of the downstream optical transceiver component, the output power spectrum of the second amplifier is determined to be the target channel power without an optical path, and the optical signal-to-noise ratio is obtained based on the target channel power.

[0085] In step S710 of some embodiments, the third power spectrum data corresponding to the actual service is fed into the optimized target fiber Raman model. The target fiber Raman model includes the updated and optimized optical parameters in the above embodiments. These optical parameters include, but are not limited to, fiber wavelength-dependent loss and fiber Raman coefficient, so that the estimated second fiber output power spectrum can be output through the target fiber Raman model. The second fiber output power spectrum is used as the input of the subsequent target insertion loss model.

[0086] In some embodiments, in step S720, the second fiber output power spectrum is fed into the optimized target insertion loss model. The target insertion loss model includes the updated and optimized optical parameters in the above embodiments. These optical parameters include, but are not limited to, wavelength-dependent loss, so that the estimated second insertion loss output power spectrum can be output through the target insertion loss model. The second insertion loss output power spectrum is used as the input of the subsequent target optical amplifier model.

[0087] In step S730 of some embodiments, the second insertion loss output power spectrum is fed into the optimized target optical amplifier model. The target optical amplifier model includes the updated and optimized optical parameters in the above embodiments. These optical parameters include, but are not limited to, fiber wavelength-dependent loss and fiber Raman coefficient, so that the estimated second amplifier output power spectrum can be output through the target optical amplifier model. The second amplifier output power spectrum is used to determine the second amplifier output power spectrum as the target channel power without an optical path, and the optical signal-to-noise ratio is obtained based on the target channel power.

[0088] In some embodiments, in step S740, when the output power spectrum of the second amplifier reaches the input of the downstream optical transceiver component, it indicates that the output power spectrum of the second amplifier has passed through the models corresponding to all fiber segments and optical amplifiers on the optical path. The output power spectrum of the second amplifier can be directly used to represent the final channel power of the optical path. Therefore, the output power spectrum of the second amplifier can be determined as the target channel power of the optical path, and the optical signal-to-noise ratio can be obtained based on the target channel power. This enables high-precision end-to-end optical signal-to-noise ratio prediction for services, thereby improving the success rate of service recovery routing during optical network operation and maintenance.

[0089] Please refer to Figure 8 , Figure 8 Proposed for another embodiment of this application Figure 7 The flowchart of additional steps after step S730 in the above example, in some embodiments, includes a target optical layer model comprising a target fiber Raman model, a target insertion loss model, and a target optical amplifier model. The third power spectrum data is input into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without an optical path, including but not limited to step S810:

[0090] Step S810: If the output power spectrum of the second amplifier has not reached the input end of the downstream optical transceiver component, the process of iteratively inputting the output power spectrum of the second amplifier into the optical layer model of the optical fiber segment and the optical amplifier that has not been passed on the optical path and outputting it is continued until the power spectrum output iteratively reaches the input end of the downstream optical transceiver component, so as to determine the target channel power based on the power spectrum that has been reached.

[0091] In step S810 of some embodiments, the output power spectrum of the second amplifier is used as the initial input. The output results of the optical layer model of the optical amplifier and the optical fiber segment that has not been passed on the optical path are iterated to finally output the power spectrum that reaches the input end of the downstream optical transceiver component. The power spectrum that reaches the input end of the downstream optical transceiver component is the power spectrum received by the input end of the downstream optical transceiver component, which can be determined as the target channel power.

[0092] In step S810 of some embodiments, the probe light does not reach the optical cross-connect station (end of the multiplex section). In this case, it means that the output power spectrum of the second amplifier has not passed through the complete optical path link. Therefore, the output power spectrum of the second amplifier cannot represent the final channel power of the optical path. In this case, the output power spectrum of the second amplifier is input into the optical fiber segment that has not been passed on the optical path and the corresponding optical Raman model, insertion loss model and optical amplifier model. When the final output power spectrum reaches the optical cross-connect station (end of the multiplex section), the final output power spectrum is determined as the target channel power, and the optical signal-to-noise ratio is obtained based on the final output power spectrum.

[0093] Please refer to Figure 9 , Figure 9 This is a flowchart for determining the multiplexed optical signal-to-noise ratio of a lightless path according to another embodiment of this application. In some embodiments, the lightless path includes multiple lightless path links, and the method further includes, but is not limited to, steps S910 to S930:

[0094] Step S910: The optical parameters of multiple optical layer models without optical path links are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model for each optical path link.

[0095] Step S920: Determine the single-multiplexed optical signal-to-noise ratio of the corresponding optical path link based on each target optical layer model;

[0096] Step S930: Determine the multiplexed optical signal-to-noise ratio of the optical path without light based on the single-multiplexed optical signal-to-noise ratio of all optical path links.

[0097] In some embodiments, steps S910 to S930 correspond to scenarios where the optical path includes multiple optical path links. In this scenario, the target optical layer model, channel power, and optical signal-to-noise ratio (OSNR) obtained in the above embodiments are the single-multiplexed optical layer model, single-multiplexed channel power, and single-multiplexed OSNR corresponding to a single optical path link. Therefore, in this scenario, it is necessary to combine the optimized target optical layer model for each optical path link, determine the single-multiplexed OSNR of the corresponding optical path link based on each target optical layer model, and concatenate the channel power and OSNR of the single-multiplexed segment according to the order of the multiplexed segments. Finally, the channel power and OSNR of the service end-to-end multi-multiplexed segment are calculated to achieve high-precision OSNR prediction for the multi-multiplexed segment, thereby improving the success rate of service recovery routing during optical network operation and maintenance.

[0098] Secondly, embodiments of this application provide a detection system without a light path, comprising:

[0099] The probe light is used to acquire the first power spectrum data at the output of the current optical transceiver component and the second optical power spectrum data at the input of the downstream optical transceiver component.

[0100] An optical transceiver component is used to calibrate the optical parameters of an optical layer model based on first power spectrum data and second power spectrum data to obtain an optimized target optical layer model; and to determine the optical signal-to-noise ratio of a no-optical-path based on the target optical layer model in response to a service switch to a no-optical-path.

[0101] In some embodiments, the optical probe light is also used to acquire third power spectrum data at the input of the current optical transceiver component when the service is switched to a path without light. The third power spectrum data is used to input the target optical layer model so as to obtain the optical signal-to-noise ratio and target channel power of the path without light through the target optical layer model.

[0102] Please refer to Figure 10 , Figure 10This is a schematic diagram of an optical transceiver assembly according to another embodiment of this application. The current or downstream optical transceiver assembly includes: an OA (Optical Amplifier) ​​for acting as a probe light source, an optical switch, a WSS (Wavelength Selective Switch), an OBA (Optical Booster Amplifier), and an OPM (Optical Performance Amplifier). Monitoring (optical performance monitor) and OPA (Optical Pre-Amplifier). Specifically, an OLA (Optical Line Amplifier) ​​is connected between the current optical transceiver component 1001 and the downstream optical transceiver component 1002. The current optical transceiver component is also equipped with a first optical performance monitor OPM1 and a second optical performance monitor OPM2, and the downstream optical transceiver component is equipped with a third optical performance monitor OPM3. The first optical performance monitor OPM1 is located at the OBA connecting the current optical transceiver component and the downstream optical transceiver component, and is used to acquire the aforementioned first power spectrum data. The second optical performance monitor OPM2 is located at the OPA of the current optical transceiver component when receiving service light, and is used to acquire the aforementioned third power spectrum data. The second optical performance monitor OPM2 is located at the OPA connecting the downstream optical transceiver component and the current optical transceiver component, and is used to acquire the aforementioned second power spectrum data.

[0103] In some embodiments, the specific process of the optical transceiver component sending probe light to the optical pathless link is as follows: Taking a 2D ROADM site as an example, the probe light generator OA is an optical amplifier without input signal, which will generate broadband probe light output. Specifically, depending on the type of optical amplifier, it can output probe light with a spectral width of 4THz, 4.8THz, and 6THz in the C and L bands. The broadband probe light can be switched to multiple optical directions through an optical switch. The optical switch supports switchable directions that are greater than or equal to the dimension of the optical cross-site. The probe light enters the WSS high isolation port 1003 through the optical switch and enters the downstream optical transmission link. The isolation must be greater than or equal to 35 dB to avoid crosstalk to possible real services. The probe light fills the optical pathless link (backup path) with full wavelength through the WSS. Its power can be adjusted by the total output power of OA and the attenuation of WSS to support the model optical parameter refresh requirements. The probe light reaches the downstream optical cross-site and is blocked by the WSS. In summary, the probe light in this application is characterized by low cost, multiple directions, and adjustable power.

[0104] Please refer to Figure 11 and Figure 12 , Figure 11This is an example diagram of the optimized target optical layer model obtained in the detection method without optical path proposed in another embodiment of this application. Figure 12 An example diagram illustrating the determination of the optical signal-to-noise ratio based on a target optical layer model in a method for detecting a pathless optical path according to another embodiment of this application is shown below; a specific embodiment one proposed in this application is as follows:

[0105] In scenarios involving fiber optic link degradation and periodic temperature variations, taking the following service as an example, the service configuration uses a C-band 6THz spectrum range (1524.7-1571.9 nm) with a 100GHz grid, a 60-wavelength system, and a 3dB bandwidth of 91.5 GHz. The optical transmission link is configured as a 3-segment multiplexer, with each multiplexer containing 5 fiber spans. The optical cross-connect site is a 2D ROADM site, and the backup path is completely optically silent across the entire band. During service recovery switching from the working path to the optically silent backup path, end-to-end OSNR prediction is achieved based on the method proposed in this application.

[0106] The probe light is configured at three optical cross-sites corresponding to three optical transceiver components. It is routed through the current optical transceiver component at the local site and routed through the downstream optical transceiver component at the downstream site, refreshing the optical parameters of the three multiplexed section link models to accurately predict the service OSNR when service recovery and switching actually occur. The probe light source is an OA with no input signal, which generates a C-band 6THz spectral width probe light output. This output is assigned to the optical path to be calibrated via a 1×4 optical switch, enters the high-isolation port of the WSS, and then enters the downstream optical transmission link. The backup no-light link has no service within the C-band 6THz range; therefore, the probe light fills the no-light path (backup path) link to full wavelength via the WSS, with a grid set to 100GHz, a 3dB spectral width set to 85GHz, and single-wavelength output power set to +5dBm and -5dBm respectively, to trigger two probe light sensing operations. After the probe light is activated, the OBA channel power is acquired through OPM1 on the OBA side of the current site.

[0107] Furthermore, when the probe light enters the optical fiber, the fiber Raman model is run, and the fiber output power spectrum can be calculated. In this application's method, based on the final iteration error, calibration quantity 1 (fiber wavelength-dependent loss) and calibration quantity 2 (fiber Raman coefficient β) need to be calibrated. The calibration of the fiber Raman coefficient β requires obtaining link data twice by inserting probe light with different input powers, and then combining the two sets of link data for calibration calculation.

[0108] Furthermore, the probe light enters the insertion loss model to calculate the output power spectrum of devices such as tunable optical attenuators. In this application method, based on the final iteration error, calibration quantity 1: device wavelength-related loss needs to be calibrated and calculated.

[0109] Furthermore, the total power value of the output power spectrum of the insertion loss model must be consistent with the total input power reported by the current OA (OBA / OLA / OPA) in the link. If they are inconsistent, the output power spectrum of the insertion loss model should be calibrated.

[0110] Furthermore, the probe light enters the optical amplifier model, and the amplifier output power spectrum can be calculated. In this application method, based on the final iteration error, calibration calculations are required for calibration quantity 1: amplifier gain spectrum function variable, calibration quantity 2: amplifier noise figure spectrum function variable, and calibration quantity 3: amplifier spectrum hole burning function variable.

[0111] Furthermore, the total power value of the output power spectrum of the optical amplifier needs to be consistent with the total output power reported by the current OA (OBA / OLA / OPA) in the link. If they are inconsistent, the output power spectrum of the optical amplifier model should be calibrated.

[0112] Furthermore, it is necessary to determine whether the link is an OPA (Optical Point Application), i.e., whether the probe light reaches the optical cross-connect station (the end of the multiplex section). If the determination is "no", the above model calculations are performed on the next fiber optic segment, optical amplifier, etc. Otherwise, the next level of determination is initiated.

[0113] Furthermore, if the superior determines "yes", the optical power spectrum of OPM3 on the downstream site's OPA side is read and the difference is calculated to obtain the model channel power error Err.

[0114] Furthermore, if the error Err exceeds the limit, model parameter calibration is performed to make the channel sharing error for each optical transmission system Err / N, where N is the total number of optical transmission systems, which is 5 in this embodiment; otherwise, it indicates that the model parameter calibration has enabled the end-to-end dropout service to achieve the actual detection result, the model accuracy is sufficient, and the single multiplexed section optical layer model optical channel-level calibration quantity is output.

[0115] By repeating the above operation for the three multiplexed segments, the calibration values ​​that need to be updated for the three multiplexed segments can be obtained.

[0116] When a real service switches from the working path to the non-optical backup path, the power spectrum of OPM2 on the current site's OPA side is first obtained and entered into the network element insertion loss model to predict the output power spectrum.

[0117] Furthermore, the actual business is fed into the fiber Raman model. The model reads and updates calibration quantity 1: fiber wavelength-related loss and calibration quantity 2: fiber Raman coefficient, and finally predicts the output power spectrum.

[0118] Furthermore, the fiber output power spectrum is fed into the insertion loss model, which reads and updates the calibration value 1 wavelength-related loss to ultimately predict the output power spectrum.

[0119] Furthermore, the output power of the insertion loss model is fed into the optical amplifier model. The model reads and updates calibration variable 1: amplifier gain spectrum function variable, calibration variable 2: amplifier noise figure spectrum function variable, and calibration variable 3: amplifier spectrum hole burning function variable, and finally predicts the output power spectrum.

[0120] Furthermore, it is determined whether the output power spectrum of the optical amplifier has entered the OPA. If the determination is "no", the above model calculation is performed on the next segment of optical fiber, optical amplifier, etc. Otherwise, it proceeds to the next level of judgment.

[0121] Furthermore, if the superior determines "yes", the single-multiplexed segment-level channel power and OSNR can be output.

[0122] Furthermore, by combining the calibration parameters of multiplexed sections, the channel power and OSNR of a single multiplexed section are cascaded according to the order of multiplexed sections, and the service end-to-end multiplexed section channel power and OSNR are calculated to achieve high-precision optical signal-to-noise ratio prediction at the service end.

[0123] The specific embodiment two proposed in this application is as follows:

[0124] This embodiment describes a scenario of new and old system integration, using the following service as an example. The service configuration uses a C-band 6THz spectrum range (1524.7-1571.9 nm) with a 100GHz grid, a 60-wavelength system, a 3dB bandwidth of 91.5 GHz, and an optical transmission link configured as a 3-segment multiplexing link, with each multiplexing segment containing 5 fiber spans. The optical cross-connect site is a 2D ROADM site, and the backup path is completely optically silent across the entire band. During service recovery and switching from the working path to the optically silent backup path, end-to-end OSNR prediction is achieved based on the method proposed in this application.

[0125] The probe light is configured at three optical cross-connect sites, with probe light routed at the local site and routed at the downstream site. This refreshes the optical parameters of the three multiplexed link models, ensuring accurate prediction of the service OSNR when service recovery and switching actually occur. The probe light source is a no-input OA (Optical Open-Ended System), which generates a C-band 6THz spectral width probe light output. This output is assigned to the optical path to be calibrated via a 1×4 optical switch, enters the high-isolation port of the WSS (Wireless Switching System), and then enters the downstream optical transmission link. Since the backup no-light link has no service within the C-band 6THz range, the probe light fills the no-light path (backup path) with full wavelength via the WSS. The grid is set to 100GHz, the 3dB spectral width to 85GHz, and the single-wavelength output power is set to +5dBm and -5dBm respectively to trigger two probe light sensing operations. After the probe light is activated, the OBA channel power is acquired through OPM1 on the OBA side of the current site.

[0126] Furthermore, when the probe light enters the optical fiber, the fiber Raman model is run, and the fiber output power spectrum can be calculated. In this application's method, based on the final iteration error, calibration quantity 1 (fiber wavelength-dependent loss) and calibration quantity 2 (fiber Raman coefficient β) need to be calibrated. The calibration of the fiber Raman coefficient β requires obtaining link data twice by inserting probe light with different input powers, and then combining the two sets of link data for calibration calculation.

[0127] Furthermore, the probe light enters the insertion loss model to calculate the output power spectrum of devices such as tunable optical attenuators. In this application method, based on the final iteration error, calibration quantity 1: device wavelength-related loss needs to be calibrated and calculated.

[0128] Furthermore, the total power value of the output power spectrum of the insertion loss model must be consistent with the total input power reported by the current OA (OBA / OLA / OPA) in the link. If they are inconsistent, the output power spectrum of the insertion loss model should be calibrated.

[0129] Furthermore, the probe light enters the optical amplifier model, allowing the amplifier's output power spectrum to be calculated. In this application's method, based on the final iteration error, calibration calculations are required for calibration quantity 1 (amplifier gain spectrum function variable), calibration quantity 2 (amplifier noise figure spectrum function variable), and calibration quantity 3 (amplifier spectrum aperture function variable). It is important to note during calibration that, since older equipment lacks underlying calibration data, the initial underlying model uses the gain spectrum and noise figure spectrum under different input conditions described in the device manufacturer's specifications. This round of probe light refresh allows for the calibration of the relevant spectral functions.

[0130] Furthermore, the total power value of the output power spectrum of the optical amplifier needs to be consistent with the total output power reported by the current OA (OBA / OLA / OPA) in the link. If they are inconsistent, the output power spectrum of the optical amplifier model should be calibrated.

[0131] Furthermore, it is necessary to determine whether the link is an OPA (Optical Point Application), i.e., whether the probe light reaches the optical cross-connect station (the end of the multiplex section). If the determination is "no", the above model calculations are performed on the next fiber optic segment, optical amplifier, etc. Otherwise, the next level of determination is initiated.

[0132] Furthermore, if the superior determines "yes", the optical power spectrum of OPM3 on the downstream site's OPA side is read and the difference is calculated to obtain the model channel power error Err.

[0133] Furthermore, if the error Err exceeds the limit, model parameter calibration is performed so that the channel sharing error for each OTS is Err / N, where N is the total number of OTSs, which is 5 in this embodiment; otherwise, it indicates that the model parameter calibration has enabled the end-to-end dropout service to achieve the true detection result, the model accuracy is sufficient, and the single multiplexed section optical layer model optical channel-level calibration quantity is output.

[0134] By repeating the above operation for the three multiplexed segments, the calibration values ​​that need to be updated for the three multiplexed segments can be obtained.

[0135] When a real service switches from the working path to the non-optical backup path, the power spectrum of OPM2 on the current site's OPA side is first obtained and entered into the network element insertion loss model to predict the output power spectrum.

[0136] Furthermore, the actual business is fed into the fiber Raman model. The model reads and updates calibration quantity 1: fiber wavelength-related loss and calibration quantity 2: fiber Raman coefficient, and finally predicts the output power spectrum.

[0137] Furthermore, the fiber output power spectrum is fed into the insertion loss model, which reads and updates the calibration value 1 wavelength-related loss to ultimately predict the output power spectrum.

[0138] Furthermore, the output power of the insertion loss model is fed into the optical amplifier model. The model reads and updates calibration variable 1: amplifier gain spectrum function variable, calibration variable 2: amplifier noise figure spectrum function variable, and calibration variable 3: amplifier spectrum hole burning function variable, and finally predicts the output power spectrum.

[0139] Furthermore, it is determined whether the output power spectrum of the optical amplifier has entered the OPA. If the determination is "no", the above model calculation is performed on the next segment of optical fiber, optical amplifier, etc. Otherwise, it proceeds to the next level of judgment.

[0140] Furthermore, if the superior determines "yes", the single-multiplexed segment-level channel power and OSNR can be output.

[0141] Furthermore, by combining the calibration of multiplexed segments, the channel power and OSNR of a single multiplexed segment are cascaded according to the order of multiplexed segments, and the service end-to-end multiplexed segment channel power and OSNR are calculated to achieve high-precision optical signal-to-noise ratio prediction of services in scenarios of new and old interoperability.

[0142] In some embodiments, the calibration calculation of optical parameters in the fiber Raman model includes substituting the channel output power spectrum of the probe optical signal into the fiber Raman model, and calibrating the optical parameters in the fiber Raman model according to the link data to obtain the optimized target fiber Raman model. The link data includes the underlying calibration data stored in the optical cross-connect station without an optical path or the preset optical power spectrum related data. The underlying calibration data corresponds to the scenario of the first specific embodiment above, while the preset optical power spectrum related data corresponds to the scenario of the new and old connection in the second specific embodiment above.

[0143] Thirdly, refer to Figure 13 , Figure 13 This is a schematic diagram of the controller provided in the embodiments of this application.

[0144] Some embodiments of this application provide a controller, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for detecting a no-light path according to any of the above embodiments, for example, performing the above-described... Figure 1 Method steps S110 to S130, Figure 3 Method steps S310 to S340, Figure 4 Method steps S410 to S420 Figure 5 Method steps S510 to S520 Figure 6 Method steps S610 to S620 Figure 7 Method steps S710 to S740 Figure 8 Method steps S810, Figure 9 Method steps S910 to S930.

[0145] The controller 1300 in this embodiment includes one or more processors 1310 and a memory 1320. Figure 7 The example uses a processor 1310 and a memory 1320.

[0146] The processor 1310 and the memory 1320 can be connected via a bus or other means. Figure 7 Taking the example of a connection between China and Israel via a bus.

[0147] Memory 1320, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 1320 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 1320 may optionally include memory 1320 remotely located relative to processor 1310. These remote memories can be connected to controller 1300 via a network, and examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0148] In some embodiments, when the processor executes a computer program, it executes the method for detecting a lightless path according to any of the above embodiments at preset intervals.

[0149] Those skilled in the art will understand that Figure 7 The device structure shown does not constitute a limitation on the controller 1300 and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0150] exist Figure 13In the controller 1300 shown, the processor 1310 can be used to call the detection method of no light path stored in the memory 1320, thereby realizing the detection method of no light path.

[0151] Based on the hardware structure of the controller 1300 described above, various embodiments of the light-less path detection system of this application are proposed. Meanwhile, the non-transient software program and instructions required to implement the light-less path detection method of the above embodiments are stored in the memory. When executed by the processor, the light-less path detection method of the above embodiments is executed.

[0152] Furthermore, embodiments of this application also provide a detection system for a pathless environment, which includes the controller described above.

[0153] In some embodiments, since the light-free path detection system of this application has the controller of the above embodiments, and the controller of the above embodiments is capable of executing the light-free path detection method of the above embodiments, the specific implementation and technical effects of the light-free path detection system of this application can refer to the specific implementation and technical effects of the light-free path detection method of any of the above embodiments.

[0154] Fifthly, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions for performing the aforementioned method for detecting a no-light path. For example, the computer-executable instructions can cause one or more processors to perform the method for detecting a no-light path in the above-described method embodiments, such as performing the above-described... Figure 1 Method steps S110 to S130, Figure 3 Method steps S310 to S340, Figure 4 Method steps S410 to S420 Figure 5 Method steps S510 to S520 Figure 6 Method steps S610 to S620 Figure 7 Method steps S710 to S740 Figure 8 Method steps S810, Figure 9 Method steps S910 to S930.

[0155] In summary, the method of this application has at least the following beneficial effects:

[0156] (1) The method of this application can be applied to optical transmission systems with various channel combinations, including full-wavelength and low-wavelength conditions. Regardless of scenarios such as optical link degradation, device aging, temperature cycle changes, or the connection between new and old equipment, this method can ensure the accuracy of OSNR prediction for end-to-end services with backup optical links. By reasonably setting the preset attenuation amount, the success rate of service recovery in a single delivery can be improved, thereby greatly enhancing the reliability of the service.

[0157] (2) The probe light proposed in this application has the characteristics of low cost, multi-directional multiplexing and adjustable power, and is suitable for most optical transmission network equipment. In this way, probe light can be flexibly introduced into existing equipment without large-scale modification of network equipment, thus reducing cost and complexity.

[0158] (3) The method of this application can significantly improve the generalization ability of the optical layer model, making it compatible with more extreme networking scenarios. There are various complex networking situations in optical networks, such as different optical link lengths, different fiber types, different equipment brands and models, etc., which will affect the transmission performance of optical signals. By using probe light to calibrate on different links, the adaptability of the model can be improved, and the service OSNR under various networking scenarios can be predicted.

[0159] (4) The method of this application is transparent to the modulation format, that is, the OSNR prediction accuracy of its application scenario is independent of the wave rate and modulation format of the service. Different services may use different modulation formats and wave rates, but this scheme can predict OSNR independently of these factors. This makes the scheme more flexible and versatile, and can adapt to various service needs.

[0160] (5) The method and system of this application are highly versatile. The optical transceiver component in this application can be configured in optical multiplexing switches / optical cross-connect sites and is applicable to optical transmission systems under any combination of full-wavelength and low-wavelength channels. It can realize the OSNR prediction of backup link services and can solve the problems of fiber loss changes, ambient temperature periodic changes, and old and new equipment docking scenarios during long-term network operation, ensuring the OSNR prediction accuracy of backup no-light link end-to-end services.

[0161] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network nodes. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0162] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer-readable storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer-readable storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer-readable storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0163] The above is a detailed description of the preferred embodiments of this application. However, this application is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A method for detecting optical paths without light, applied to an optical transceiver component in an optical pathless environment, the optical transceiver component being equipped with a probe light, the method comprising: The probe light is used to acquire the first power spectrum data at the output end of the current optical transceiver component and the second power spectrum data at the input end of the downstream optical transceiver component of the current optical transceiver component. The optical parameters of the optical layer model are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model. In response to a service switch to the optical-free path, the optical signal-to-noise ratio of the optical-free path is determined according to the target optical layer model, wherein the optical layer model includes an optical fiber Raman model, an insertion loss model, and an optical amplifier model.

2. The method for detecting a pathless object according to claim 1, characterized in that, The step of calibrating the optical parameters of the optical layer model based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model includes: The optical parameters in the fiber Raman model are calibrated and calculated based on the first power spectrum data to obtain the optimized target fiber Raman model and the first fiber output power spectrum. The optical parameters in the insertion loss model are calibrated and calculated based on the first fiber output power spectrum and the total input power reported by the lightless path to obtain the optimized target insertion loss model and the first insertion loss output power spectrum. The optical parameters in the optical amplifier model are calibrated and calculated based on the first insertion loss output power spectrum and the total output power reported by the optical path without light, so as to obtain the optimized target optical amplifier model and the first amplifier output power spectrum. If the power error is determined to be less than a preset power threshold based on the first amplifier output power spectrum and the second power spectrum data, the target fiber Raman model, the target insertion loss model, and the target optical amplifier model are determined to be the target optical layer model.

3. The method for detecting a pathless object according to claim 2, characterized in that, After obtaining the optimized target optical amplifier model and the first amplifier output power spectrum, the process further includes: If the power error is determined to be greater than or equal to a preset power threshold based on the first amplifier output power spectrum and the second power spectrum data, the calibration difference is obtained based on the power error and the number of optical transmission segment layers in the light-free path, wherein the power error is the difference between the first amplifier output power spectrum and the second power spectrum data; The target fiber Raman model is calibrated based on the calibration difference, and the optical parameters in the target fiber Raman model, the target insertion loss model, and the target optical amplifier model after the calibration are calibrated are calculated to ensure that the power error obtained after the calibration calculation is less than a preset power threshold.

4. The method for detecting a pathless object according to claim 2, characterized in that, Before determining that the power error is less than a preset power threshold based on the first amplifier output power spectrum and the second power spectrum data, the following steps are also included: If the output power spectrum of the first amplifier does not reach the input end of the downstream optical transceiver component, the calibration calculation is performed on the optical parameters in the optical layer model of the optical fiber segment and the optical amplifier that have not been traversed on the light-free path, based on the output power spectrum of the first amplifier. When the output power spectrum of the first amplifier reaches the input terminal of the downstream optical transceiver component, it is determined whether the power error determined by the output power spectrum of the first amplifier and the second power spectrum data is less than a preset power threshold.

5. The method for detecting a pathless object according to claim 2, characterized in that, The optical parameters in the fiber Raman model include at least one of the following: fiber wavelength-dependent loss and fiber Raman coefficient; the optical parameters in the insertion loss model include device wavelength-dependent loss; the optical parameters in the optical amplifier model include at least one of the following: amplifier spectral enhancement function variable, amplifier noise figure spectral function variable, and amplifier spectral aperture burning function variable.

6. The method for detecting a pathless object according to claim 1, characterized in that, Determining the optical signal-to-noise ratio of the pathless path based on the target optical layer model includes: The probe light is used to acquire the third power spectrum data at the input of the current optical transceiver component; The third power spectrum data is input into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without an optical path.

7. The method for detecting a pathless object according to claim 6, characterized in that, The target optical layer model includes a target fiber Raman model, a target insertion loss model, and a target optical amplifier model. The step of inputting the third power spectrum data into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio without an optical path includes: The third power spectrum data is input into the Raman model of the target fiber to obtain the output power spectrum of the second fiber. The second fiber output power spectrum is input into the target insertion loss model to obtain the second insertion loss output power spectrum; The second insertion loss output power spectrum is input into the target optical amplifier model to obtain the second amplifier output power spectrum; When the output power spectrum of the second amplifier reaches the input terminal of the downstream optical transceiver component, the output power spectrum of the second amplifier is determined to be the target channel power of the optical pathless path, and the optical signal-to-noise ratio is obtained based on the target channel power.

8. The method for detecting a pathless object according to claim 7, characterized in that, After obtaining the output power spectrum of the second amplifier, the process further includes: If the output power spectrum of the second amplifier does not reach the input terminal of the downstream optical transceiver component, the process of iteratively inputting the output power spectrum of the second amplifier into the optical layer model of the optical fiber segment and the optical amplifier that has not been passed on the optical path and outputting it is continued until the power spectrum output iteratively reaches the input terminal of the downstream optical transceiver component, so as to determine the target channel power based on the power spectrum that has arrived.

9. The method for detecting a pathless object according to claim 1, characterized in that, The light-free path includes multiple light-free path links, and the method further includes: The optical parameters of the optical layer models of the multiple optical pathless links are calibrated based on the first power spectrum data and the second power spectrum data to obtain the optimized target optical layer model for each optical pathless link. The single-multiplexed optical signal-to-noise ratio of the corresponding optical path link is determined based on each target optical layer model; The multiplexed optical signal-to-noise ratio of the optical path is determined based on the single-multiplexed optical signal-to-noise ratio of all the optical path links.

10. A detection system without a light path, characterized in that, include: The probe light is used to acquire the first power spectrum data at the output of the current optical transceiver component and the second power spectrum data at the input of the downstream optical transceiver component of the current optical transceiver component. An optical transceiver component is used to calibrate the optical parameters of the optical layer model based on the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model. In response to a service switch to the optical-free path, the optical signal-to-noise ratio of the optical-free path is determined based on the target optical layer model, wherein the optical layer model includes an optical fiber Raman model, an insertion loss model, and an optical amplifier model.

11. The detection system without a light path according to claim 10, characterized in that, The probe light is also used to acquire the third power spectrum data of the current optical transceiver component input when the service is switched to the optical pathless path. The third power spectrum data is used to input the target optical layer model so as to obtain the optical signal-to-noise ratio and target channel power of the optical pathless path through the target optical layer model.

12. A controller, characterized in that, The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the method for detecting a lightless path as described in any one of claims 1 to 9.

13. A computer-readable storage medium storing computer-executable instructions for performing the detection method for a light-less path as described in any one of claims 1 to 9.

Images