Lightless path detection method and detection system, controller, and medium

Abstract

The present application discloses a lightless path detection method and detection system, a controller, and a medium. The detection method is applied to an optical transceiver assembly in a lightless path, and the optical transceiver assembly is provided with probe light. The method comprises: by means of probe light, acquiring first power spectrum data of an output end of the current optical transceiver assembly and second optical power spectrum data of an input end of a downstream optical transceiver assembly of the current optical transceiver assembly (S110); calibrating optical parameters of an optical layer model on the basis of the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model (S120); and in response to a service being switched to a lightless path, determining an optical signal-to-noise ratio of the lightless path on the basis of the target optical layer model (S130).

Description

Lightless path detection method, detection system, controller and medium

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 2023109606514 and application date of July 31, 2023, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby introduced into this application as a reference. Technical Field

[0003] The present application relates to the field of optical communication and sensing, and in particular to a detection method, detection system, controller and medium for a lightless path. Background Art

[0004] Quality of Transmission (QoT) is a comprehensive measure of the performance and reliability of optical signal transmission within 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 setting). Combined with optical system impairment models (e.g., optical amplifiers, optical fibers, and optical modules), QoT enables performance perception and optimization of any node in the optical network, thus playing a crucial role in optical network operation and maintenance.

[0005] However, in practical applications, the generalization ability of the model faces many challenges, such as factors such as aging of optical cable attenuation, aging of components, and temperature cycle changes. In addition, in existing optical networks, the built-in calibration data of the underlying component model is often unavailable, and only empirical values ​​can be used. As a result, the current detection method for the backup no-optical path scenario cannot effectively calibrate the model's pending parameters, resulting in poor accuracy of the current no-optical path detection method. It also makes it impossible to effectively estimate high-precision data such as the optical signal-to-noise ratio when optical network operation and maintenance requires service restoration routing, resulting in a low success rate for optical network operation and maintenance when service restoration routing requires service.

[0006] Summary of the Invention

[0007] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0008] Embodiments of the present application provide a method, a detection system, a controller, and a medium for detecting a lightless path.

[0009] In the first aspect, an embodiment of the present application provides a method for detecting a lightless path, which is applied to an optical transceiver component in a lightless path, wherein the optical transceiver component is configured with probe light, and the method includes: obtaining first power spectrum data of the output end of the current optical transceiver component and second optical power spectrum data of the input end of the downstream optical transceiver component of the current optical transceiver component through the probe light; calibrating the optical parameters of the optical layer model according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model; in response to the service switching to the lightless path, determining the optical signal-to-noise ratio of the lightless path according to the target optical layer model.

[0010] In the second aspect, an embodiment of the present application provides a detection system for a lightless path, comprising: a probe light, configured to obtain first power spectrum data of the output end of a current optical transceiver component, and second optical power spectrum data of the input end of an optical transceiver component downstream of the current optical transceiver component; an optical transceiver component, configured to calibrate the optical parameters of an optical layer model according to 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 switching to the lightless path, determining the optical signal-to-noise ratio of the lightless path according to the target optical layer model.

[0011] In a third aspect, an embodiment of the present application provides a controller comprising a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method for detecting a lightless path as described in any one of the embodiments in the first aspect is implemented.

[0012] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the method for detecting a lightless path as described in any one of the embodiments of the first aspect.

[0013] Other features and advantages of the present application will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present application. The purposes and other advantages of the present application can be achieved and obtained through the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] FIG1 is a flow chart of a method for detecting a dark path according to another embodiment of the present application;

[0015] FIG2 is a schematic diagram of an optical network proposed in an embodiment of the present application;

[0016] FIG3 is a flowchart of step S120 in FIG1 according to another embodiment of the present application;

[0017] FIG4 is a flowchart of additional steps after step S330 in FIG3 according to another embodiment of the present application;

[0018] FIG5 is a flowchart of additional steps before step S340 in FIG3 proposed in another embodiment of the present application;

[0019] FIG6 is a flowchart of step S130 in FIG1 according to another embodiment of the present application;

[0020] FIG7 is a flowchart of step S620 in FIG6 according to another embodiment of the present application;

[0021] FIG8 is a flowchart of additional steps after step S730 in FIG7 according to another embodiment of the present application;

[0022] FIG9 is a flowchart of determining the multiplexed optical signal-to-noise ratio of the dark path proposed in another embodiment of the present application;

[0023] FIG10 is a schematic diagram of an optical transceiver assembly proposed in another embodiment of the present application;

[0024] FIG11 is an example diagram of an optimized target light layer model obtained in a method for detecting a dark path according to another embodiment of the present application;

[0025] FIG12 is a diagram illustrating an example of determining an optical signal-to-noise ratio according to a target optical layer model in a method for detecting a lightless path according to another embodiment of the present application;

[0026] FIG13 is a schematic diagram of a controller proposed in another embodiment of the present application.

[0027] Reference numerals: 201, working path; 202, backup path; 203, upstream optical cross-connect site; 203, upstream optical cross-connect site; 204, downstream optical cross-connect site; 205, intermediate optical cross-connect site; 1001, current optical transceiver component output end; 1002, downstream optical transceiver component; 1003, WSS high isolation port. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0029] In some embodiments, although the system diagrams illustrate functional module divisions and the flowcharts illustrate logical sequences, in some cases, the steps shown or described may be performed in a sequence that differs from the module divisions in the system or the sequence in the flowcharts. The terms "first," "second," and so on in the specification, claims, and drawings are used to distinguish similar items and are not necessarily used to describe a specific sequence or precedence.

[0030] In addition, unless otherwise clearly specified and limited, the term "connection / connected" should be understood in a broad sense. 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, an electrical connection, or able to communicate with each other; it can be a direct connection or an indirect connection through an intermediate medium.

[0031] In the description of the embodiments of the present application, the reference terms "one embodiment / implementation", "another embodiment / implementation" or "certain embodiments / implementations", "in the above-mentioned embodiments / implementations" and the like mean that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least two embodiments or implementations disclosed in the present application. In the disclosure of this application, the schematic representation of the above terms does not necessarily refer to the same exemplary embodiment or implementation. It should be noted that although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order different from that in the flowchart.

[0032] In related technologies, optical system transmission quality is a comprehensive measure of the performance and reliability of optical signal transmission in optical network systems. In existing optical network systems, optical system transmission quality assessment is mainly achieved by collecting performance parameters at each node (such as channel optical power, service code type, fiber type and length, optical amplifier type, gain setting, etc.), combined with the damage model of the optical system (such as optical amplifier, optical fiber, optical module, etc.), to achieve the perception and optimization of the performance of any node in the optical network. It has important application value in optical network operation and maintenance. On the optical path (i.e., backup path / recovery path), due to the limited performance data that can be collected, the backup path model estimation is more difficult than the working path optical signal-to-noise ratio estimation. If the underlying model can achieve high-precision optical signal-to-noise ratio estimation, this can guide the operation and maintenance tools to configure a reasonable preset attenuation for each optical service, so that when the optical path is restored, the single-time recovery success rate of the service switching to the optical backup path is improved.

[0033] However, in practical applications, the generalization ability of the model faces many challenges, such as factors such as aging of optical cable attenuation, aging of components, and temperature cycle changes. In addition, in existing optical networks, the built-in calibration data of the underlying component model is often unavailable, and only empirical values ​​can be used. As a result, the current detection method for the backup no-optical path scenario cannot effectively calibrate the model's pending parameters, resulting in poor accuracy of the current no-optical path detection method. It also makes it impossible to effectively estimate high-precision data such as the optical signal-to-noise ratio when optical network operation and maintenance requires service restoration routing, resulting in a low success rate for optical network operation and maintenance when service restoration routing requires service.

[0034] Based on this, the present application discloses a detection method, detection system, controller and medium for a lightless path. The detection method is applied to an optical transceiver component in a lightless path, and the optical transceiver component is configured with probe light, including obtaining first power spectrum data of the output end of the current optical transceiver component and second optical power spectrum data of the input end of the downstream optical transceiver component of the current optical transceiver component through the probe light; calibrating the optical parameters of the optical layer model according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model; in response to the service switching to the lightless path, determining the optical signal-to-noise ratio of the lightless path according to the target optical layer model, wherein, through the above method, the present application can effectively calibrate the parameters of the underlying optical layer model of the lightless path, improve the prediction accuracy, and thereby realize end-to-end high-precision optical signal-to-noise ratio estimation of the service, so as to improve the success rate of service recovery routing during optical network operation and maintenance.

[0035] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0036] Refer to Figure 1, which is a flow chart of a method for detecting a lightless path proposed in another embodiment of the present application. In the first aspect, the embodiment of the present application provides a method for detecting a lightless path, which is applied to an optical transceiver component in a lightless path, and the optical transceiver component is configured with a probe light. The method may include but is not limited to steps S110 to S130.

[0037] Step S110 , obtaining first power spectrum data of the output end of the current optical transceiver assembly and second optical power spectrum data of the input end of the downstream optical transceiver assembly of the current optical transceiver assembly through probe light.

[0038] Step S120 , calibrating the optical parameters of the optical layer model according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model.

[0039] Step S130 : In response to the service being switched to the optical path, determining the optical signal-to-noise ratio of the optical path according to the target optical layer model.

[0040] According to steps S110 to S130 illustrated in the embodiment of the present application, 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 can be accurately and effectively obtained through the probe light configured in the optical transceiver component, and the optical parameters of the optical layer model are calibrated according to the first power spectrum data and the second power spectrum data to improve the prediction accuracy of the optical layer model and obtain an optimized target optical layer model; further, when the current optical transceiver component switches to a no-optical path in response to the service, the optical signal-to-noise ratio of the no-optical path can be determined according to the target optical layer model to achieve high-precision estimation of the end-to-end optical signal-to-noise ratio in scenarios such as link degradation and docking of new and old equipment under the no-optical path, and performance perception and optimization of any node in the optical network can be achieved based on the obtained optical signal-to-noise ratio, thereby improving the success rate of service recovery routing in optical network operation and maintenance, thereby effectively reducing network operation and maintenance costs and improving network operation and maintenance efficiency, improving the performance and reliability of the entire optical network, and providing higher quality network services.

[0041] The above is a general description of step S110 to step S130 . Step S110 to step S130 will be described in detail below.

[0042] In step S110 , first power spectrum data of an output end of a current optical transceiver assembly and second optical power spectrum data of an input end of an optical transceiver assembly downstream of the current optical transceiver assembly are acquired by probe light.

[0043] Please refer to Figure 2, which is a schematic diagram of the optical network proposed in an embodiment of the present application. In some embodiments, the optical transceiver components corresponding to the detection method of the optical path provided by the present application are set on the upstream optical cross-site 203, the intermediate optical cross-site 204 and the downstream optical cross-site 205 in Figure 2. The working path 201 in Figure 2 corresponds to the optical path under normal working conditions, and the backup path 202 corresponds to the optical path. Its characteristic is that when the optical transceiver component wants to implement the method of the present application, it is necessary to configure the probe light at the beginning and end of each multiplexing section (optical cross-site) through the underlying hardware of the optical cross-site, so that the probe light is put on the output end of the current optical transceiver component of the upstream optical cross-site 203, and the probe light is put on the output end of the downstream optical transceiver component of the downstream optical cross-site 205. In the process, the probe light at the input end of the component is dropped, and 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 are obtained through the corresponding data of the probe light output by the upstream optical cross site 203, the intermediate optical cross site 204 and the downstream optical cross site 205, so as to realize the end-to-end service optical signal-to-noise ratio estimation when the backup path 202 (no optical path) undergoes service recovery switching, and at the same time calibrate the optical parameters in the link optical layer model, so that when the service actually undergoes recovery switching, the service optical signal-to-noise ratio can be prepared to be estimated, and then the performance perception and optimization of any node in the optical network can be realized according to the obtained optical signal-to-noise ratio, thereby improving the success rate of service recovery routing in optical network operation and maintenance.

[0044] In some embodiments, before the present application obtains 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, the present application must first configure the probe light and turn on the probe light so that it fills the entire supported band as much as possible with a fixed grid and bandwidth, that is, the probe light entering the light-free path is in a full-wave state, so as to reduce errors and improve estimation accuracy.

[0045] In some embodiments, taking the scenario where the 3dB spectrum width is 37.5GHz and the grid is 50GHz filling 120 waves to support the C-band 6THz spectrum width as an example, when there are a few services on the backup path (no optical path), it is necessary to adjust the probe optical bandwidth through the wavelength selection switch with an adjustment step of 6.25GHz so that it differs from the possible service wave edge by at least 12.5GHz to avoid possible crosstalk and improve the estimation accuracy. At the same time, the single-wave fiber input power needs to be configured according to the application model needs, so that after the probe light is turned on, the output channel power of the optical power amplifier can be effectively collected through the optical performance monitor on the optical power amplifier side of the output end of the current optical transceiver component.

[0046] In step S120 , optical parameters of the optical layer model are calibrated according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model.

[0047] Please refer to Figure 3, which is a flowchart of step S120 in Figure 1 proposed in another embodiment of the present application. 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 according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model, which may include but is not limited to steps S310 to S340.

[0048] Step S310 , calibrating and calculating the optical parameters in the optical fiber Raman model according to the first power spectrum data to obtain an optimized target optical fiber Raman model and a first optical fiber output power spectrum.

[0049] Step S320 , calibrating and calculating the optical parameters in the insertion loss model according to the first optical fiber output power spectrum and the total input power reported by the lightless path, to obtain an optimized target insertion loss model and a first insertion loss output power spectrum.

[0050] Step S330 , calibrating and calculating the optical parameters in the optical amplifier model according to the first insertion loss output power spectrum and the total output power reported by the optically-free path, to obtain an optimized target optical amplifier model and a first amplifier output power spectrum.

[0051] Step S340 , when it is determined that the power error is less than a preset power threshold according to the first amplifier output power spectrum 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 to be the target optical layer model.

[0052] In step S310 of some embodiments, step S310 corresponds to the process of probe light entering the optical fiber. By running the optical fiber Raman model, the optical fiber output power spectrum can be calculated, and the optical parameters therein are calibrated and calculated based on the final iterative error. The optical parameters include but are not limited to the optical fiber wavelength-related loss, the optical fiber Raman coefficient β, etc., to improve the estimation accuracy of the optical fiber Raman model.

[0053] In some embodiments, when the optical parameters include the optical fiber Raman coefficient β, the calibration calculation of the optical fiber Raman coefficient β is effectively achieved by obtaining link data by injecting probe light with different fiber input powers twice into the link corresponding to the lightless path, wherein the link data includes first power spectrum data and second optical power spectrum data.

[0054] 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 without an 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 the wavelength-related loss of the device, and the total input power reported by the optical path without an optical path includes the total input power reported by optical amplifiers such as the pre-optical amplifier, optical power amplifier, and line optical amplifier, so as to improve the estimation accuracy of the insertion loss model.

[0055] In step S330 of some embodiments, the probe light enters the optical amplifier model, and the amplifier output power spectrum can be calculated. In the application method, the optical parameters in the optical amplifier model are calibrated and calculated based on the final iterative error. The optical parameters in the optical amplifier model include but are not limited to amplifier spectrum gain function variables, amplifier noise coefficient spectrum function variables, amplifier spectrum hole burning function variables, etc., so as to effectively improve the estimation accuracy of the optical amplifier model.

[0056] In some embodiments, the total power value of the output power spectrum of the optical amplifier must be calculated to be consistent with the total output power reported by the no-optical path. If they are inconsistent, the output power spectrum of the optical amplifier model is calibrated, where the total output power reported by the no-optical path includes the total output power reported by optical amplifiers such as the pre-optical amplifier, optical power amplifier, and line optical amplifier.

[0057] In step S340 of some embodiments, the second optical power spectrum data of the input end of the downstream optical transceiver component of the current optical transceiver component is read and the calculated first amplifier output power spectrum is subtracted to obtain the model channel power error Err; in some embodiments, when the error Err is less than the 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 service to achieve a true detection result, and the target optical layer model has sufficient accuracy. 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, and the target optical layer model has the optical signal-to-noise ratio of the optical path determined in subsequent steps. By confirming the model channel power error, the effectiveness of the parameter calibration can be ensured.

[0058] Please refer to Figure 4, which is a flow chart of additional steps after step S330 in Figure 3 proposed in another embodiment of the present application. In some embodiments, after obtaining the optimized target optical amplifier model and the first amplifier output power spectrum, it also includes but is not limited to steps S410 to S420.

[0059] Step S410: When it is determined that the power error is greater than or equal to a preset power threshold based on the first amplifier output power spectrum and the second optical power spectrum data, a calibration difference is obtained based on the power error and the number of optical transmission segment layers in the optical path, wherein the power error is the difference between the first amplifier output power spectrum and the second optical power spectrum.

[0060] Step S420 , error calibration is performed on the target fiber Raman model according to the calibration difference, and calibration calculation is performed on the optical parameters of the target fiber Raman model, the target insertion loss model, and the target optical amplifier model after the error calibration, so that the power error obtained after the calibration calculation is less than a preset power threshold.

[0061] In step S420 of some embodiments, when it is determined based on the first amplifier output power spectrum and the second optical power spectrum data that the power error is greater than or equal to a preset power threshold, the steps of calibrating and calculating the optical parameters in the optical fiber Raman model, calibrating and calculating the optical parameters in the insertion loss model, and calibrating and calculating the optical parameters in the optical amplifier model in the above embodiments are iteratively performed again based on the output result of the target optical fiber Raman model obtained after error calibration. That is, the processing from steps S310 to S330 is iteratively performed once to output a new first amplifier output power spectrum. This process may be repeated multiple times until the power error obtained after calculating the first amplifier output power spectrum output in the current round is less than the preset power threshold, thereby ensuring that the accuracy of the currently calibrated and optimized model is sufficient to achieve a true detection result for end-to-end drop services, thereby completing the error calibration processing of the optical parameters of the optical layer model.

[0062] In some embodiments, the above steps S410 and S420 correspond to a 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 large gap between the end-to-end drop service and the actual detection result. The target optical layer model has low accuracy and does not meet the accuracy requirements. Therefore, it is necessary to perform model parameter calibration so that the channel shared error corresponding to each optical transmission segment layer is Err / N, where N is the total number of optical transmission segment layers. By continuously performing error calibration on the target optical fiber Raman model and repeating the subsequent calibration calculation process of the target optical fiber Raman model, the target insertion loss model, and the target optical amplifier model until the corresponding power error is less than the preset power threshold, the target optical layer model obtained after the model parameter calibration can achieve the actual detection result, thereby realizing end-to-end high-precision optical signal-to-noise ratio estimation of the service.

[0063] Please refer to Figure 5, which is a flow chart of additional steps before step S340 in Figure 3 proposed in another embodiment of the present application. In some embodiments, 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, it also includes but is not limited to steps S510 to S520.

[0064] Step S510 , when the first amplifier output power spectrum does not reach the input end of the downstream optical transceiver assembly, calibrate and calculate the optical parameters in the optical layer model of the optical fiber segment not passed through on the optical path and the optical amplifier according to the first amplifier output power spectrum.

[0065] Step S520 , when the first amplifier output power spectrum reaches the input end of the downstream optical transceiver component, it is determined 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.

[0066] In some embodiments, the above step S510 corresponds to the situation where the probe light has not reached the optical cross-site (the end of the multiplexing segment); in this case, since the output power spectrum of the first amplifier has not passed through the complete lightless path link, that is, the calibration optimization of the models corresponding to all optical fiber segments and optical amplifiers on the lightless path has not been completed, the output power spectrum of the first amplifier cannot represent the final channel power of the lightless path. Therefore, the optical parameters in the optical fiber Raman model, insertion loss model and optical amplifier model corresponding to the optical fiber segments and optical amplifiers that have not been passed on the lightless path are calibrated and calculated based on the output power spectrum of the first amplifier to continue to optimize and calibrate the remaining models until the optimization calibration of the entire path model is completed after passing through the entire lightless path link.

[0067] In some embodiments, the above step S520 corresponds to the situation where the probe light arrives at the optical cross-site (the end of the multiplexing segment). In this case, the calibration optimization of the models corresponding to all optical fiber segments and optical amplifiers on the lightless path has been completed, and the first amplifier output power spectrum can be directly used to represent the final channel power of the lightless path, and then the subsequent judgment is performed based on the first amplifier output power spectrum and the second optical power spectrum data to determine that the power error is less than the preset power threshold, so as to determine that the target optical fiber Raman model, target insertion loss model and target optical amplifier model are the target optical layer model.

[0068] In step S130 , in response to the service being switched to the optical path, the optical signal-to-noise ratio of the optical path is determined according to the target optical layer model.

[0069] In some embodiments, in response to the situation where the service switches to a non-optical path, that is, corresponding to the situation where the recovery switching service switches from the working path to the non-optical backup path, end-to-end optical signal-to-noise ratio estimation is achieved based on the optimized target optical layer model in the above embodiment.

[0070] Please refer to Figure 6, which is a flowchart of step S130 in Figure 1 proposed in another embodiment of the present application. In some embodiments, the optical signal-to-noise ratio of the lightless path is determined according to the target optical layer model, including but not limited to steps S610 to S620.

[0071] Step S610: Acquire third power spectrum data of the input end of the current optical transceiver component through probe light.

[0072] 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 of the optical path.

[0073] In step S610 of some embodiments, the third power spectrum data of the input end of the current optical transceiver component obtained by the probe light is the optical power spectrum data of the actual service, so as to realize end-to-end optical signal-to-noise ratio estimation when the recovery switching service switches from the working path to the optical-free backup path.

[0074] 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 of the optical path, that is, the corresponding real business light enters the optical fiber segment and optical amplifier of the optical path in sequence. In this process, since the optical layer model of the optical path has undergone a calibration optimization process in the above-mentioned step S120, the optical signal-to-noise ratio of the optical path can be determined according to the target optical layer model, thereby realizing end-to-end high-precision optical signal-to-noise ratio estimation of the service, so as to improve the success rate of service recovery routing during optical network operation and maintenance.

[0075] Please refer to Figure 7, which is a flowchart of step S620 in Figure 6 proposed in another embodiment of the present application. In some embodiments, the target optical layer model includes a target optical 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 of the optical path, including but not limited to steps S710 to S740.

[0076] Step S710: Input the third power spectrum data into the target fiber Raman model to obtain the second fiber output power spectrum.

[0077] Step S720: input the second optical fiber output power spectrum into the target insertion loss model to obtain a second insertion loss output power spectrum.

[0078] Step S730: input the second insertion loss output power spectrum into the target optical amplifier model to obtain a second amplifier output power spectrum.

[0079] Step S740 : when the second amplifier output power spectrum reaches the input end of the downstream optical transceiver assembly, determine that the second amplifier output power spectrum is a target channel power with no optical path, and obtain an optical signal-to-noise ratio according to the target channel power.

[0080] In step S710 in some embodiments, third power spectrum data corresponding to real services enters an optimized target fiber Raman model. The target fiber Raman model includes the optical parameters updated and optimized in the above embodiments, including but not limited to fiber wavelength-dependent loss and fiber Raman coefficients, so that the target fiber Raman model can ultimately output an estimated second fiber output power spectrum. The second fiber output power spectrum is used as input for a subsequent target insertion loss model.

[0081] In step S720 in some embodiments, the second optical fiber output power spectrum enters the optimized target insertion loss model. The target insertion loss model includes the updated and optimized optical parameters in the above embodiments, including but not limited to wavelength-dependent loss, so that the target insertion loss model can ultimately output an estimated second insertion loss output power spectrum. The second insertion loss output power spectrum is used as input to a subsequent target optical amplifier model.

[0082] In step S730 in some embodiments, the second insertion loss output power spectrum enters the optimized target optical amplifier model. The target optical amplifier model includes the optical parameters updated and optimized in the above embodiments. The optical parameters include but are not limited to optical fiber wavelength-dependent loss and optical fiber Raman coefficient, so that the estimated second amplifier output power spectrum can be output by the target optical amplifier model. The second amplifier output power spectrum is set to determine the second amplifier output power spectrum as a target channel power with no optical path, and the optical signal-to-noise ratio is obtained based on the target channel power.

[0083] In step S740 of some embodiments, when the second amplifier output power spectrum reaches the input end of the downstream optical transceiver component, it indicates that the second amplifier output power spectrum has passed through the models corresponding to all optical fiber segments and optical amplifiers on the dead path. The second amplifier output power spectrum can be directly used to represent the final channel power of the dead path. Therefore, the second amplifier output power spectrum can be determined to be the target channel power of the dead path, and the optical signal-to-noise ratio can be obtained based on the target channel power, thereby achieving end-to-end high-precision optical signal-to-noise ratio estimation for the service, thereby improving the success rate of service recovery routing during optical network operation and maintenance.

[0084] Please refer to Figure 8, which is a flow chart of additional steps after step S730 in Figure 7 proposed in another embodiment of the present application. In some embodiments, the target optical layer model includes a target optical 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 of the optical path, including but not limited to step S810.

[0085] Step S810, when 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 have not been passed on the optical path and outputting it is performed until the power spectrum of the iterative output 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 arrived.

[0086] In step S810 of some embodiments, the output power spectrum of the second amplifier is used as the initial input, and the output results of the optical layer model of the optical fiber segment and the optical amplifier that have not been passed on the optical path are iterated to finally output the power spectrum arriving at the input end of the downstream optical transceiver component. The arrived power spectrum is the power spectrum received at the input end of the downstream optical transceiver component, which can be determined as the target channel power.

[0087] In step S810 of some embodiments, the corresponding probe light does not reach the optical cross-site (the end of the multiplexing section); in this case, it means that the second amplifier output power spectrum has not passed through the complete lightless path link, so the second amplifier output power spectrum cannot represent the final channel power of the lightless path. Therefore, in this case, the second amplifier output power spectrum is input into the fiber Raman model, insertion loss model and optical amplifier model corresponding to the optical fiber segment and optical amplifier that have not been passed through on the lightless path, so that when the final output power spectrum reaches the optical cross-site (the end of the multiplexing 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.

[0088] Please refer to Figure 9, which is a flowchart of determining the multiplexed optical signal-to-noise ratio of a no-optical path proposed in another embodiment of the present application. In some embodiments, the no-optical path includes multiple no-optical path links, and the method further includes but is not limited to steps S910 to S930.

[0089] Step S910 , calibrating optical parameters of optical layer models of multiple no-optical path links according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model for each no-optical path link.

[0090] Step S920 : determining the single-multiplexed optical signal-to-noise ratio of the corresponding non-optical path link according to each target optical layer model.

[0091] Step S930 : determining the multiplexed optical signal-to-noise ratio of the no-optical path according to the single-multiplexed optical signal-to-noise ratios of all the no-optical path links.

[0092] In some embodiments, steps S910 to S930 correspond to a scenario in which the optical path includes multiple optical path links. That is, in this scenario, the target optical layer model, channel power, and optical signal-to-noise ratio obtained in the above embodiments are the single-multiplexed optical layer model, single-multiplexed channel power, and single-multiplexed optical signal-to-noise ratio corresponding to a single optical path link. Therefore, in this scenario, it is necessary to combine the optimized target optical layer model of each optical path link, determine the single-multiplexed optical signal-to-noise ratio of the corresponding optical path link according to each target optical layer model, and connect the channel power and optical signal-to-noise ratio of the single multiplexing section in series according to the order of the multiplexing sections. Finally, the calculated service end-to-end multiple multiplexing section channel power and optical signal-to-noise ratio are used to achieve high-precision optical signal-to-noise ratio estimation of multiple multiplexing sections, so as to improve the success rate of service recovery routing during optical network operation and maintenance.

[0093] In a second aspect, an embodiment of the present application provides a detection system for a lightless path, comprising:

[0094] The probe light is configured to obtain first power spectrum data of an output end of a current optical transceiver component and second optical power spectrum data of an input end of an optical transceiver component downstream of the current optical transceiver component.

[0095] The optical transceiver component is configured 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; and in response to the service switching to the optical path, determine the optical signal-to-noise ratio of the optical path based on the target optical layer model.

[0096] In some embodiments, the above-mentioned optical probe light is also configured to obtain third power spectrum data of the input end of the current optical transceiver component when the service is switched to a non-optical path. The third power spectrum data is set to input the target optical layer model to obtain the optical signal-to-noise ratio and target channel power of the non-optical path through the target optical layer model.

[0097] Please refer to Figure 10, which is a schematic diagram of an optical transceiver component proposed in another embodiment of the present application. The current or downstream optical transceiver component includes: an OA (Optical Amplifier) ​​configured to act as a probe light source, an optical switch, a WSS (Wavelength Selective Switch), an OBA (Optical Booster Amplifier), an OPM (Optical Performance Monitoring), and an OPA (Optical Pre-Amplifier). Specifically, an OLA (Optical Linear Amplifier) ​​is connected between the current optical transceiver component 1001 and the downstream optical transceiver component 1002. Amplifier, line optical amplifier), the current optical transceiver component is also provided with a first optical performance monitor OPM1 and a second optical performance monitor OPM2, and the downstream optical transceiver component is also provided with a third optical performance monitor OPM3, wherein the first optical performance monitor OPM1 is arranged at the OBA where the current optical transceiver component is connected to the downstream optical transceiver component, and is configured to obtain the above-mentioned first power spectrum data; the second optical performance monitor OPM2 is arranged at the OPA where the current optical transceiver component receives business light, and is configured to obtain the above-mentioned third power spectrum data; the second optical performance monitor OPM2 is arranged at the OPA where the downstream optical transceiver component is connected to the current optical transceiver component, and is configured to obtain the above-mentioned second power spectrum data.

[0098] In some embodiments, the specific process of the optical transceiver component sending probe light to the optical path is as follows: taking the 2-dimensional ROADM site as an example of the optical cross-site, the probe light generating source OA is an optical amplifier without input signal, which will generate broadband probe light output. Specifically, according to the type of optical amplifier, it can output probe light with 4THz spectrum width, 4.8THz spectrum width, and 6THz spectrum width in the C and L bands; the broadband probe light can be switched to multiple optical directions through the optical switch, and the switchable directions supported by the optical switch must be 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, and the isolation must be greater than or equal to 35dB to avoid the probe light from causing crosstalk costs to possible real services; the probe light fills the optical path (backup path) link to a full-wave state through the WSS, and its power can be coordinated by the OA output total power and the WSS attenuation 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 characteristics of the probe light in this application are low cost, multi-directional, and power adjustable.

[0099] Please refer to Figures 11 and 12. Figure 11 is an example diagram of obtaining an optimized target optical layer model in a method for detecting a dark path according to another embodiment of the present application. Figure 12 is an example diagram of determining an optical signal-to-noise ratio according to the target optical layer model in a method for detecting a dark path according to another embodiment of the present application. The specific embodiment 1 proposed in this application is as follows:

[0100] In scenarios where fiber links degrade and temperature cycles vary, for example, the following service configuration uses a 100GHz grid in the C-band 6THz spectrum range (1524.7-1571.9nm), a 60-wave system, and a 91.5GHz signal 3dB bandwidth. The optical transmission link is configured as a transmission link with three multiplexing segments, each containing five fiber spans. The optical cross-connect site uses a 2D ROADM site, and the backup path is completely optical. When a recovery switch occurs, the service switches from the working path to the optical backup path. End-to-end OSNR estimation is achieved based on the method proposed in this application.

[0101] Probe light is configured at three optical transceivers corresponding to three optical cross-connect sites. Probe light is added to the local site's current optical transceiver and dropped to the downstream site's corresponding optical transceiver. This refreshes the optical parameters of the three multiplex section link models, ensuring accurate OSNR estimation when service recovery and switching occur. The probe light source is an OA with no input signal. It generates probe light with a C-band 6THz spectral width. This light is assigned to the optical path to be calibrated via a 1×4 optical switch and then enters the high-isolation port of the WSS into 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 backup, no-light path, link to full power via the WSS. The grid is set to 100 GHz, the 3dB spectral width to 85 GHz, and the single-wave output power to +5dBm and -5dBm, respectively. The probe light is configured to trigger two probe light sensing events. After the probe light is activated, the OBA channel power is acquired via the OPM1 on the OBA side of the current site.

[0102] In some embodiments, probe light enters the optical fiber, i.e., a fiber Raman model is run to calculate the optical fiber output power spectrum. In this application method, based on the final iterative error, calibration quantity 1: fiber wavelength-dependent loss and calibration quantity 2: fiber Raman coefficient β are calibrated. Calibration of the fiber Raman coefficient β requires injecting probe light twice into the link at different input powers to obtain link data, and then combining the two link data for calibration calculation.

[0103] In some embodiments, the probe light enters the insertion loss model to calculate the output power spectrum of devices such as the adjustable optical attenuator. In this application method, based on the final iterative error, it is necessary to calibrate the calibration quantity 1: the wavelength-dependent loss of the device.

[0104] In some embodiments, the total power value of the output power spectrum of the insertion loss model needs to 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 is calibrated.

[0105] In some embodiments, 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 iterative error, calibration calculations need to be performed on calibration quantity 1: amplifier gain spectrum function variable, calibration quantity 2: amplifier noise coefficient spectrum function variable, and calibration quantity 3: amplifier spectrum hole burning function variable.

[0106] In some embodiments, the calculated total power value of the output power spectrum of the optical amplifier must 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 is calibrated.

[0107] In some embodiments, it is necessary to determine whether the link is an OPA, that is, whether the probe light reaches the optical cross-connect site (the end of the multiplex section). If the judgment is "no", the above model calculation is performed on the next section of optical fiber and optical amplifier. Otherwise, the next level of judgment is entered.

[0108] In some embodiments, if the superior judges as "yes", the optical power spectrum of OPM3 on the downstream site OPA side is read and subtracted from the calculated optical power spectrum to obtain the model channel power error Err.

[0109] In some embodiments, if the error Err has exceeded the limit, the model parameters are calibrated so that the channel sharing error corresponding to each optical transmission system is Err / N, where N is the total number of optical transmission systems, which is 5 in this embodiment; otherwise, it means that the model parameter calibration has enabled the end-to-end drop service to achieve a true detection result, the model accuracy is sufficient, and the single multiplexing segment optical layer model optical channel level calibration value is output.

[0110] Repeat the above operation for three multiplex sections to obtain the calibration values ​​that need to be updated for the three multiplex sections.

[0111] When the real service switches from the working path to the optical standby path, the OPM2 power spectrum on the OPA side of the current site is first obtained, and then the network element insertion loss model is entered to estimate the output power spectrum.

[0112] In some embodiments, real business enters the fiber Raman model, and the model reads and updates calibration quantity 1: fiber wavelength-dependent loss, calibration quantity 2: fiber Raman coefficient, and finally estimates the output power spectrum.

[0113] In some embodiments, the optical fiber output power spectrum enters the insertion loss model, the model reads and updates the calibration value 1 wavelength-dependent loss, and finally estimates the output power spectrum.

[0114] In some embodiments, the insertion loss model output power enters the optical amplifier model, and the model reads and updates calibration quantity 1: amplifier gain spectrum function variable, calibration quantity 2: amplifier noise coefficient spectrum function variable, and calibration quantity 3: amplifier spectrum hole burning function variable, and finally estimates the output power spectrum.

[0115] In some embodiments, 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 section of optical fiber, optical amplifier, etc. Otherwise, the next level of determination is entered.

[0116] In some embodiments, if the upper level determines "yes", the single multiplexing section level channel power and OSNR may be output.

[0117] In some embodiments, combined with the multi-multiplexing segment calibration amount, the channel power and OSNR of a single multiplexing segment are connected in series according to the order of the multiplexing segments, and the service end-to-end multi-multiplexing segment channel power and OSNR are calculated to achieve high-precision end-to-end optical signal-to-noise ratio estimation of the service.

[0118] The specific embodiment 2 proposed in this application is as follows:

[0119] This embodiment describes a scenario where new and legacy services are connected. Taking the following service as an example, the service configuration uses a C-band 6THz spectrum range (1524.7-1571.9nm), a 100GHz grid, a 60-wave system, a signal 3dB bandwidth of 91.5GHz, and an optical transmission link configured with three multiplexing segments, each containing five fiber spans. The optical cross-connect site uses a 2D ROADM site, and the backup path is completely optical. When a recovery switch occurs, the service switches from the working path to the optical-free backup path. End-to-end OSNR estimation is achieved based on the method proposed in this application.

[0120] Probe light is deployed at three optical cross-connect sites. Probe light is added at the local site and dropped at the downstream site. This refreshes the optical parameters of the three multiplex section link models, ensuring accurate service OSNR estimation when service recovery and switching occur. The probe light source is a zero-input OA (Open Optical Module), which generates a probe light output with a C-band 6THz spectral width. This light is assigned to the optical path to be calibrated via a 1×4 optical switch and then enters the high-isolation port of the WSS, which 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 backup, no-light path, link to full power via the WSS. The grid is set to 100 GHz, the 3dB spectral width to 85 GHz, and the single-wave output power to +5dBm and -5dBm, respectively. The probe light is configured to trigger two probe light sensing events. After the probe light is enabled, the OBA channel power is acquired via the OPM1 on the OBA side of the current site.

[0121] In some embodiments, probe light enters the optical fiber, i.e., a fiber Raman model is run to calculate the optical fiber output power spectrum. In this application method, based on the final iterative error, calibration quantity 1: fiber wavelength-dependent loss and calibration quantity 2: fiber Raman coefficient β are calibrated. Calibration of the fiber Raman coefficient β requires injecting probe light twice into the link at different input powers to obtain link data, and then combining the two link data for calibration calculation.

[0122] In some embodiments, the probe light enters the insertion loss model to calculate the output power spectrum of devices such as the adjustable optical attenuator. In this application method, based on the final iterative error, it is necessary to calibrate the calibration quantity 1: the wavelength-dependent loss of the device.

[0123] In some embodiments, the total power value of the output power spectrum of the insertion loss model needs to 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 is calibrated.

[0124] In some embodiments, probe light enters the optical amplifier model to calculate the amplifier's output power spectrum. In this application method, based on the final iterative error, calibration variables 1 (amplifier gain spectrum function variables), 2 (amplifier noise figure spectrum function variables), and 3 (amplifier spectral hole burning function variables) are calibrated. During calibration, it is important to note that, since legacy equipment lacks underlying calibration data, the initial underlying model uses the gain and noise figure spectra under different input conditions as described in the device manufacturer's specifications. This round of probe light refresh calibrates the relevant spectral functions.

[0125] In some embodiments, the calculated total power value of the output power spectrum of the optical amplifier must 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 is calibrated.

[0126] In some embodiments, it is necessary to determine whether the link is an OPA, that is, whether the probe light reaches the optical cross-connect site (the end of the multiplex section). If the judgment is "no", the above model calculation is performed on the next section of optical fiber and optical amplifier. Otherwise, the next level of judgment is entered.

[0127] In some embodiments, if the superior judges as "yes", the optical power spectrum of OPM3 on the downstream site OPA side is read and subtracted from the calculated optical power spectrum to obtain the model channel power error Err.

[0128] In some embodiments, if the error Err exceeds the limit, the model parameters are calibrated so that the channel-shared error amount corresponding to each OTS is Err / N, where N is the total number of OTSs, which is 5 in this embodiment. Otherwise, it means that the model parameter calibration has achieved a true detection result for the end-to-end drop service, the model accuracy is sufficient, and the optical channel-level calibration value of the single multiplex section optical layer model is output.

[0129] Repeat the above operation for three multiplex sections to obtain the calibration values ​​that need to be updated for the three multiplex sections.

[0130] When the real service switches from the working path to the optical standby path, the OPM2 power spectrum on the OPA side of the current site is first obtained, and then the network element insertion loss model is entered to estimate the output power spectrum.

[0131] In some embodiments, real business enters the fiber Raman model, and the model reads and updates calibration quantity 1: fiber wavelength-dependent loss, calibration quantity 2: fiber Raman coefficient, and finally estimates the output power spectrum.

[0132] In some embodiments, the optical fiber output power spectrum enters the insertion loss model, the model reads and updates the calibration value 1 wavelength-dependent loss, and finally estimates the output power spectrum.

[0133] In some embodiments, the insertion loss model output power enters the optical amplifier model, and the model reads and updates calibration quantity 1: amplifier gain spectrum function variable, calibration quantity 2: amplifier noise coefficient spectrum function variable, and calibration quantity 3: amplifier spectrum hole burning function variable, and finally estimates the output power spectrum.

[0134] In some embodiments, 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 section of optical fiber, optical amplifier, etc. Otherwise, the next level of determination is entered.

[0135] In some embodiments, if the upper level determines "yes", the single multiplexing section level channel power and OSNR may be output.

[0136] In some embodiments, combined with the multi-multiplexing segment calibration amount, the channel power and OSNR of a single multiplexing segment are connected in series according to the order of the multiplexing segments, and the service end-to-end multi-multiplexing segment channel power and OSNR are calculated to achieve high-precision end-to-end optical signal-to-noise ratio estimation of the service in the new and old docking scenarios.

[0137] In some embodiments, when calibrating and calculating the optical parameters in the fiber Raman model, the channel output power spectrum of the probe optical signal is substituted into the fiber Raman model, and the optical parameters in the fiber Raman model are calibrated and calculated based on the link data to obtain an optimized target fiber Raman model. The link data includes the underlying calibration data stored in the optical cross-site without an optical path or the preset optical power spectrum related data, wherein the underlying calibration data corresponds to the scenario of the above-mentioned specific embodiment 1, and the preset optical power spectrum related data corresponds to the new-old docking scenario of the above-mentioned specific embodiment 2.

[0138] In the third aspect, referring to FIG13 , FIG13 is a schematic diagram of the structure of the controller provided in an embodiment of the present application.

[0139] Some embodiments of the present application provide a controller, which includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements the method for detecting a lightless path of any of the above-described embodiments, for example, executing the method steps S110 to S130 in Figure 1, the method steps S310 to S340 in Figure 3, the method steps S410 to S420 in Figure 4, the method steps S510 to S520 in Figure 5, the method steps S610 to S620 in Figure 6, the method steps S710 to S740 in Figure 7, the method step S810 in Figure 8, and the method steps S910 to S930 in Figure 9 described above.

[0140] The controller 1300 in the embodiment of the present application includes one or more processors 1310 and a memory 1320 . FIG7 takes one processor 1310 and one memory 1320 as an example.

[0141] The processor 1310 and the memory 1320 may be connected via a bus or other means. FIG. 7 takes the bus connection as an example.

[0142] The memory 1320, as a non-transitory computer-readable storage medium, can be configured to store non-transitory software programs and non-transitory computer executable programs. In addition, the memory 1320 may include a high-speed random access memory and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 1320 may optionally include a memory 1320 remotely located relative to the processor 1310. These remote memories may be connected to the controller 1300 via a network. Examples of the aforementioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0143] In some embodiments, when the processor executes the computer program, the method for detecting a dark path according to any one of the above embodiments is executed at preset intervals.

[0144] Those skilled in the art will appreciate that the device structure shown in FIG. 7 does not limit the controller 1300 , and may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0145] In the controller 1300 shown in FIG. 13 , the processor 1310 may be configured to call a dark path detection method stored in the memory 1320 , thereby implementing the dark path detection method.

[0146] Based on the hardware structure of the above-mentioned controller 1300, various embodiments of the lightless path detection system of the present application are proposed. At the same time, the non-transient software programs and instructions required to implement the lightless path detection method of the above-mentioned embodiments are stored in the memory. When executed by the processor, the lightless path detection method of the above-mentioned embodiments is executed.

[0147] In addition, an embodiment of the present application further provides a lightless path detection system, which includes the above-mentioned controller.

[0148] In some embodiments, since the lightless path detection system of the embodiment of the present application has the controller of the above-mentioned embodiment, and the controller of the above-mentioned embodiment can execute the lightless path detection method of the above-mentioned embodiment, the specific implementation methods and technical effects of the lightless path detection system of the embodiment of the present application can refer to the specific implementation methods and technical effects of the lightless path detection method of any of the above-mentioned embodiments.

[0149] In the fifth aspect, an embodiment of the present application also provides a computer-readable storage medium, which stores computer-executable instructions, and the computer-executable instructions are configured to execute the above-mentioned method for detecting a lightless path. For example, the one or more processors described above can execute the method for detecting a lightless path in the above-mentioned method embodiment, for example, executing the method steps S110 to S130 in Figure 1, the method steps S310 to S340 in Figure 3, the method steps S410 to S420 in Figure 4, the method steps S510 to S520 in Figure 5, the method steps S610 to S620 in Figure 6, the method steps S710 to S740 in Figure 7, the method step S810 in Figure 8, and the method steps S910 to S930 in Figure 9 described above.

[0150] In summary, the present application method has at least the following beneficial effects:

[0151] (1) The method of this application can be applied to optical transmission systems with various channel combinations, including full-wave and low-wave conditions. Regardless of the scenarios such as optical link degradation, device aging, temperature cycle changes, and the docking of new and old equipment, this method can ensure the accuracy of the end-to-end service OSNR estimation of the backup optical link. By properly setting the preset attenuation, the success rate of single service delivery and recovery can be achieved, thereby greatly improving the reliability of the service.

[0152] (2) The probe light proposed in this application method is low-cost, multi-directional, and power-adjustable, making it suitable for most optical transmission network equipment. This allows for flexible introduction of probe light into existing equipment without requiring large-scale modifications to network equipment, thus reducing cost and complexity.

[0153] (3) The method of this application can significantly improve the generalization capability of the optical layer model, making it compatible with more extreme networking scenarios. Optical networks exist in various complex networking situations, such as different optical link lengths, different fiber types, and different equipment brands and models. These factors can 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 in various networking scenarios can be estimated.

[0154] (4) The proposed method is transparent to the modulation format, meaning that the accuracy of OSNR estimation in its application scenario is independent of the service's wave rate and modulation format. Different services may use different modulation formats and wave rates, but the proposed method can estimate OSNR independently of these factors. This makes the proposed method more flexible and versatile, adapting to a variety of service needs.

[0155] (5) The method and system of the present application are highly versatile. The optical transceiver components in the present application can be configured in an optical multiplexing switch / optical cross-connection site and are applicable to optical transmission systems under any combination of full-wave and short-wave channels, thereby realizing OSNR estimation of the backup link service. Furthermore, the method and system of the present application can solve the problems of long-term network operation, changes in optical fiber loss, periodic changes in ambient temperature, and docking of new and old equipment, thereby ensuring the accuracy of end-to-end OSNR estimation of the backup optical link service.

[0156] The detection method, detection system, controller and medium of the optical-free path proposed in the present application have at least the following beneficial effects: the present application can accurately and effectively obtain 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 the probe light configured in the optical transceiver component, and calibrate the optical parameters of the optical layer model based on the first power spectrum data and the second power spectrum data to improve the prediction accuracy of the optical layer model and obtain an optimized target optical layer model; further, when the current optical transceiver component switches to the optical-free path in response to the service, the optical signal-to-noise ratio of the optical path can be determined according to the target optical layer model to achieve high-precision estimation of the end-to-end optical signal-to-noise ratio in scenarios such as link degradation and docking of new and old equipment under the optical path, and performance perception and optimization of any node in the optical network can be achieved based on the obtained optical signal-to-noise ratio, thereby improving the success rate of service recovery routing in optical network operation and maintenance, thereby effectively reducing network operation and maintenance costs and improving network operation and maintenance efficiency, improving the performance and reliability of the entire optical network, and providing higher quality network services.

[0157] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, i.e., they may be located in one place or distributed across multiple network nodes. Some or all of the modules may be selected based on actual needs to achieve the objectives of this embodiment.

[0158] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include a computer-readable storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer-readable storage medium is included in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data) and is volatile and non-volatile, removable, and non-removable. Computer-readable storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0159] The above is a specific description of some implementations of the present application, but the present application is not limited to the above-mentioned implementation methods. Technical personnel familiar with the art can also make various equivalent modifications or substitutions without departing from the scope of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for detecting a lightless path, applied to an optical transceiver component in the lightless path, wherein the optical transceiver component is configured with a probe light, the method comprising: Acquire first power spectrum data of an output end of a current optical transceiver component and second optical power spectrum data of an input end of an optical transceiver component downstream of the current optical transceiver component through the probe light; Calibrate optical parameters of the optical layer model according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model; In response to the service being switched to the optical-free path, an optical signal-to-noise ratio of the optical-free path is determined according to the target optical layer model.

2. The method for detecting a lightless path according to claim 1, wherein: The optical layer model includes an optical fiber Raman model, an insertion loss model and an optical amplifier model, and the optical parameters of the optical layer model are calibrated according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model, including: Calibrate and calculate the optical parameters in the optical fiber Raman model according to the first power spectrum data to obtain an optimized target optical fiber Raman model and a first optical fiber output power spectrum; Calibrate and calculate the optical parameters in the insertion loss model according to the first optical fiber output power spectrum and the total input power reported by the lightless path to obtain an optimized target insertion loss model and a first insertion loss output power spectrum; Calibrate and calculate the optical parameters in the optical amplifier model according to the first insertion loss output power spectrum and the total output power reported by the optical-free path to obtain an optimized target optical amplifier model and a first amplifier output power spectrum; When it is determined that the power error is less than a preset power threshold according to the first amplifier output power spectrum and the second optical power spectrum data, the target optical 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 lightless path according to claim 2, wherein: After obtaining the optimized target optical amplifier model and the first amplifier output power spectrum, the method further includes: In a case where it is determined according to the first amplifier output power spectrum and the second optical power spectrum data that the power error is greater than or equal to a preset power threshold, a calibration difference is obtained according to the power error and the number of optical transmission segment layers of the lightless path, wherein the power error is the difference between the first amplifier output power spectrum and the second optical power spectrum; The target optical fiber Raman model is error calibrated according to the calibration difference, and the calibration calculation is performed on the optical parameters in the target optical fiber Raman model, the target insertion loss model and the target optical amplifier model after the error calibration, so that the power error obtained after the calibration calculation is less than a preset power threshold.

4. The method for detecting a dark path according to claim 2, wherein: Before determining, according to the first amplifier output power spectrum and the second optical power spectrum data, that the power error is less than a preset power threshold, the following step further includes: When 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 passed on the lightless path according to the output power spectrum of the first amplifier; When the first amplifier output power spectrum reaches the input end of the downstream optical transceiver component, it is determined whether a power error determined by the first amplifier output power spectrum and the second optical power spectrum data is less than a preset power threshold.

5. The method for detecting a dark path according to claim 2, wherein: 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 spectrum gain function variable, amplifier noise coefficient spectrum function variable and amplifier spectrum hole burning function variable.

6. The method for detecting a dark path according to claim 1, wherein: The determining the optical signal-to-noise ratio of the lightless path according to the target optical layer model includes: Acquire third power spectrum data of the input end of the current optical transceiver component through the probe light; 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 of the optical-free path.

7. The method for detecting a dark path according to claim 6, wherein: The target optical layer model includes a target optical fiber Raman model, a target insertion loss model and a target optical amplifier model, and inputting the third power spectrum data into the target optical layer model to obtain the target channel power and optical signal-to-noise ratio of the optical path includes: Inputting the third power spectrum data into the target optical fiber Raman model to obtain a second optical fiber output power spectrum; Inputting the second optical fiber output power spectrum into the target insertion loss model to obtain a second insertion loss output power spectrum; Inputting the second insertion loss output power spectrum into the target optical amplifier model to obtain a second amplifier output power spectrum; When the second amplifier output power spectrum reaches the input end of the downstream optical transceiver component, the second amplifier output power spectrum is determined to be the target channel power of the optical path, and the optical signal-to-noise ratio is obtained according to the target channel power.

8. The method for detecting a dark path according to claim 7, wherein: After obtaining the second amplifier output power spectrum, the method further includes: In the case where 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 have not been passed on the light-free path and outputting it is performed until the iteratively output power spectrum reaches the input end of the downstream optical transceiver component, so as to determine the target channel power based on the arrived power spectrum.

9. The method for detecting a dark path according to claim 1, wherein: The opticalless path includes a plurality of opticalless path links, and the method further includes: Calibrate the optical parameters of the optical layer models of the plurality of optical path links according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model of each optical path link; Determine the single multiplexed optical signal-to-noise ratio of the corresponding optical path link according to each target optical layer model; The multiplexed optical signal-to-noise ratio of the non-optical path is determined according to the single-multiplexed optical signal-to-noise ratios of all the non-optical path links.

10. A detection system for a lightless path, comprising: The probe light is configured to obtain first power spectrum data of an output end of a current optical transceiver component and second optical power spectrum data of an input end of an optical transceiver component downstream of the current optical transceiver component; an optical transceiver component, configured to calibrate optical parameters of an optical layer model according to the first power spectrum data and the second power spectrum data to obtain an optimized target optical layer model; And in response to the service switching to the optical-free path, determining an optical signal-to-noise ratio of the optical-free path according to the target optical layer model.

11. The lightless path detection system according to claim 10, wherein: The optical probe light is also configured to obtain third power spectrum data of the input end of the current optical transceiver component when the service is switched to the lightless path. The third power spectrum data is configured to be input into the target optical layer model to obtain the optical signal-to-noise ratio and target channel power of the lightless path through the target optical layer model.

12. A controller comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for detecting a dark path according to any one of claims 1 to 9 is implemented.

13. A computer-readable storage medium storing computer-executable instructions, wherein: The computer executable instructions are used to execute the method for detecting a dark path as described in any one of claims 1 to 9.

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