Optical signal to noise ratio (OSNR) monitoring method and system and storage medium

Abstract

The invention provides an optical signal to noise ratio (OSNR) monitoring method and system and a storage medium, and relates to but is not limited to the technical field of communication, the OSNR monitoring system comprises a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), and each OSNR monitoring unit is correspondingly arranged at the output end of one optical amplification unit in the OTN. Each OSNR monitoring unit determines the output channel optical power of the corresponding optical amplification unit; each OSNR monitoring unit determines a corresponding channel OSNR according to the output channel optical power; and the management and control unit monitors the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit. The OSNR monitoring units and the optical amplification units are correspondingly arranged, so that independent calculation of the OSNR monitoring units is achieved, monitoring of any position is achieved through the management and control unit, and then the reliability, the hardware integration level, the monitoring range, the monitoring efficiency and the maintainability of OSNR monitoring are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to but are not limited to the field of communication technology, and in particular to an optical signal-to-noise ratio (OSNR) monitoring method, system, and storage medium. Background Art

[0002] Online optical signal to noise ratio (OSNR) monitoring refers to the measurement of the OSNR of a service without interrupting the service. In early wavelength division multiplexing systems (usually 10G systems), since the allocated spectrum grid is much larger than the signal bandwidth, there is no spectrum overlap between adjacent channels, and the noise floor is not affected by filtering, so the out-of-band interpolation method is usually used to complete the noise floor and OSNR estimation. Later, with the commercial deployment of 40G and 100G systems, affected by the filtering effect of ROADM sites and the crosstalk of adjacent channels, the out-of-band noise floor can no longer represent the actual noise level in the channel, and the traditional out-of-band interpolation estimation method is completely ineffective. In the related technologies, optical methods, DSP methods, spectral comparison methods and parameter estimation methods based on optical fiber links are usually used for OSNR monitoring. Among them, optical methods have more external dependencies and low monitoring reliability. DSP methods have a low monitoring range. Spectral comparison methods have poor hardware integration and thus limited monitoring range. Parameter estimation methods for optical fiber links have a complex process and poor monitoring efficiency and maintainability. Therefore, there is an urgent need for an optical signal-to-noise ratio (OSNR) monitoring method that can solve the above problems to improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring. Summary of the invention

[0003] The embodiments of the present application provide an optical signal-to-noise ratio (OSNR) monitoring method, system, and storage medium, which can improve the reliability, hardware integration, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring.

[0004] In a first aspect, according to an optical signal-to-noise ratio (OSNR) monitoring method provided by the present application, the method is applied to an OSNR monitoring system, wherein the OSNR monitoring system includes a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units corresponding to an output end of an optical amplification unit in the OTN, and the method includes:

[0005] Each of the OSNR monitoring units determines an output channel optical power of the corresponding optical amplification unit, wherein the output channel optical power corresponds to a specific wavelength;

[0006] Each of the OSNR monitoring units determines the corresponding channel OSNR according to the output channel optical power;

[0007] The management and control unit monitors the OSNR of the OTN according to the channel OSNR of each of the OSNR monitoring units.

[0008] In a second aspect, according to an optical signal-to-noise ratio (OSNR) monitoring system provided by the present application, the OSNR monitoring system includes a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units being arranged at an output end of an optical amplification unit in the OTN;

[0009] The OSNR monitoring unit includes an optical power detection module and an OSNR calculation module, wherein:

[0010] The optical power detection module is used to determine the output channel optical power of the corresponding optical amplification unit;

[0011] The OSNR calculation module determines the corresponding channel OSNR according to the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength;

[0012] The control unit is used to monitor the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit.

[0013] In a third aspect, an optical signal-to-noise ratio (OSNR) monitoring system provided by the present application includes:

[0014] Multiple processors;

[0015] a plurality of memories for storing computer executable programs;

[0016] When the computer executable program is executed by a plurality of the processors, the optical signal-to-noise ratio (OSNR) monitoring method as described in any one of the first aspects is implemented.

[0017] In a fourth aspect, according to a computer-readable storage medium provided by the present application, the computer-readable storage medium stores a program executable by a processor, and when the program executable by the processor is executed by the processor, it is used to implement the optical signal-to-noise ratio OSNR monitoring method as described in any one of the first aspects.

[0018] The embodiments of the present application have at least the following beneficial effects: by setting the OSNR monitoring unit corresponding to the optical amplifying unit in the OTN and determining the channel OSNR corresponding to each specific wavelength according to the output channel optical power of the specific wavelength monitored, the OSNR monitoring units are independent of each other and have high hardware integration and higher reliability, and multiple OSNR monitoring units can process the optical amplifying unit in the OTN in parallel to improve the monitoring efficiency. At the same time, by setting a control unit, the OSNRs of multiple OSNR monitoring units in the OTN are uniformly managed, which has higher maintainability and can reduce dependence on the external environment to realize the monitoring of the OSNR at any position of the entire OTN. At the same time, the processing efficiency of the control unit has a low correlation with the complexity of the optical network and the number of OSNR monitoring units. Therefore, compared with the related art, the embodiments of the present application can improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a system networking diagram of an embodiment of an optical signal-to-noise ratio (OSNR) monitoring system provided by the present application;

[0020] Figure 2 It is a module block diagram of an OSNR monitoring unit in an optical signal-to-noise ratio OSNR monitoring system provided by the present application;

[0021] Figure 3 It is a schematic diagram of OTN composition of an embodiment of an optical signal-to-noise ratio OSNR monitoring system provided by the present application;

[0022] Figure 4 It is a flow chart of the optical signal-to-noise ratio OSNR monitoring method provided by the present application;

[0023] Figure 5 It is a schematic diagram of the system hardware structure of another embodiment of the optical signal-to-noise ratio (OSNR) monitoring system provided by the present application.

[0024] Reference numerals:

[0025] Control unit 100,

[0026] An OSNR monitoring unit 200 , an optical power detection module 210 , an OSNR calculation module 220 , an OSNR performance management unit 230 , an optical amplification unit 310 , a transmitting end 320 , a receiving end 330 , and an optical switching unit 340 . DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of this application more clear, the following is a further detailed description of this application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0028] It should be noted that although the functional modules are divided in the device schematic and the logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in a different order than the module division in the device or the order in the flowchart.

[0029] In the embodiments of the present application, the words "further", "exemplarily" or "optionally" are used to indicate examples, illustrations or descriptions, and should not be interpreted as being more preferred or more advantageous than other embodiments or designs. The use of the words "further", "exemplarily" or "optionally" is intended to present related concepts in a specific way.

[0030] Before further describing the embodiments disclosed in the present application in detail, the nouns and terms involved in the embodiments disclosed in the present application are described. The nouns and terms involved in the embodiments disclosed in the present application are subject to the following interpretations:

[0031] Dense Wavelength Division Multiplexing (DWDM) is a technology that combines multiple optical carrier signals of different wavelengths (carrying various information) with closely spaced spectra at the transmitting end through a multiplexer (also called a combiner) and couples them to the same optical fiber of the optical line for transmission.

[0032] The top modulation technology is to superimpose a small low-frequency sine or cosine modulation on each wavelength at the transmitting end. When this low-frequency sine or cosine signal is superimposed on the optical wavelength, there will be a modulation amplitude on the top of the optical wavelength.

[0033] Before further describing the embodiments disclosed in the present application in detail, the explanations of the Chinese and English abbreviations used in the embodiments disclosed in the present application are as shown in Table 1 below:

[0034] Abbreviations Original English text Chinese meaning OSNR Optical Signal to Noise Ratio Optical signal-to-noise ratio OTN Optical Transport Network Optical Transport Network OCh Optical Channel with full functionality (Full-function) optical path OTS Optical Transmission Section Optical transmission segment OMS Optical Multiplex Section Optical Multiplex Section ROADM Reconfigurable Optical Add / Drop Multiplexing Reconfigurable Optical Add-Drop Multiplexing OCM Optical Channel Monitor Optical Channel Monitor DSP Digital Signal Processing Digital Signal Processing ASE Amplified Spontaneous Emission Amplification of Spontaneous Emission OTU Optical Transponder Unit Optical transceiver unit OA Optical Amplifier Optical Amplifier

[0035] Table 1

[0036] It should be noted that online optical signal to noise ratio (OSNR) monitoring refers to the measurement of the OSNR of a service without interrupting the service. In early wavelength division multiplexing systems (usually 10G systems), since the allocated spectrum grid is much larger than the signal bandwidth, there is no spectrum overlap between adjacent channels, and the noise floor is not affected by filtering, so the out-of-band interpolation method is usually used to complete the noise floor and OSNR estimation. Later, with the commercial deployment of 40G and 100G systems, affected by the filtering effect of ROADM sites and the crosstalk of adjacent channels, the out-of-band noise floor can no longer represent the actual noise level in the channel, and the traditional out-of-band interpolation estimation method is completely ineffective. In the related technologies, in order to solve the impact of ROADM site filtering effect and adjacent channel crosstalk during commercial deployment of 40G and 100G systems, optical methods, DSP methods, spectral comparison methods and parameter estimation methods based on optical fiber links are usually used for OSNR monitoring. Among them, the optical method has more external dependence and low monitoring reliability, the DSP method has a low monitoring range, the spectral comparison method has poor hardware integration and thus limited monitoring range, and the parameter estimation method of the optical fiber link has a complex process, poor monitoring efficiency and maintainability. Specifically, taking the optical method as an example, the essence of OSNR detection is to quantitatively separate the signal light and ASE noise, so that separation can be achieved based on the optical difference between the two: for example, the signal light is a coherent light source, and the ASE noise is an incoherent light source, and the separation can be achieved by using delayed interference or even nonlinear methods such as stimulated Brillouin effect; for another example, the signal light is composed of two orthogonal polarization state signals, while the polarization state of the ASE noise is random, and the polarization zeroing method is used to achieve separation, but the optical method is generally greatly affected by the environment. For example, the interference effect is very sensitive to the ambient temperature and slight vibration, and the signal polarization state is also affected by the environment and changes rapidly, resulting in the calculated OSNR is not accurate enough, which makes the monitoring reliability poor. Another example is the DSP method, which achieves separation by demodulating the signal or using the uncorrelated statistical characteristics of the signal-related noise. Although it can be built into most mainstream coherent optical modules for separation, it can only be used for end-to-end OSNR detection, and is very sensitive to damage other than ASE noise such as nonlinearity and filtering effects, so the detection coverage is insufficient. Another example is the spectral comparison method, which achieves separation by comparing the numerical differences in the spectrum caused by noise. It can detect the OSNR between any nodes and make up for the lack of detection coverage of the DSP method. However, the detection accuracy is heavily dependent on the spectral resolution of the OCM, which results in the calculated OSNR being inaccurate.The parameter estimation method based on the optical fiber link can estimate the OSNR at any position in the optical fiber link based on the optical power detected in the optical fiber link and the pre-calibrated optical fiber link parameters, combined with the physical model of the optical fiber and the optical amplifier. This method only needs to deploy OCM at the node, and there is no additional hardware deployment requirement based on power detection. The detection coverage is large and there is no dead angle. However, it relies on the precise calibration and simulation calculation of the optical fiber link. In actual engineering deployment, the optical fiber link parameters are often unable to be accurately obtained in real time, and the acquisition of a large number of optical fiber link parameters will make the OSNR estimation process extremely complicated, with prominent defects of multiple implementation dependencies and difficult engineering maintenance. Based on this, the embodiment of the present application provides an optical signal-to-noise ratio OSNR monitoring method, system and storage medium, which can improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

[0037] Reference Figure 1 to Figure 2 As shown, Figure 1 is a system networking diagram of an embodiment of an optical signal-to-noise ratio (OSNR) monitoring system provided by the present application; Figure 2 is a module block diagram of an OSNR monitoring unit 200; an optical signal-to-noise ratio OSNR monitoring system provided in an embodiment of the present application includes a management and control unit 100 and a plurality of OSNR monitoring units 200 distributed in an optical transport network OTN, and each OSNR monitoring unit 200 is correspondingly arranged at an output end of an optical amplification unit 310 in the OTN;

[0038] The OSNR monitoring unit 200 includes an optical power detection module 210 and an OSNR calculation module 220, wherein:

[0039] The optical power detection module 210 is used to determine the output channel optical power of the corresponding optical amplification unit 310;

[0040] The OSNR calculation module 220 determines the corresponding channel OSNR according to the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength;

[0041] The management and control unit 100 is used to monitor the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit 200 .

[0042] Therefore, by setting the OSNR monitoring unit 200 corresponding to the optical amplifying unit 310 in the OTN and determining the channel OSNR corresponding to each specific wavelength according to the output channel optical power of the specific wavelength monitored, the OSNR monitoring units 200 are independent of each other and have high hardware integration and higher reliability. Multiple OSNR monitoring units 200 can process the optical amplifying unit 310 in the OTN in parallel to improve the monitoring efficiency. At the same time, by setting the management and control unit 100, the OSNR of multiple OSNR monitoring units 200 in the OTN are uniformly managed, which has higher maintainability and can reduce dependence on the external environment to realize the monitoring of OSNR at any position of the entire OTN. At the same time, the processing efficiency of the management and control unit 100 has a low correlation with the complexity of the optical network and the number of OSNR monitoring units 200. Therefore, compared with the related art, the embodiment of the present application can improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

[0043] For example, refer to Figure 1 and Figure 3 As shown, OTN includes a transmitting end 320, an OTS segment and a receiving end 330 on the user side. The optical signal is at the transmitting end 320 on the user side -> OTS segment -> receiving end 330, wherein at the transmitting end 320, the optical signal sequentially passes through the optical amplifying unit 310 -> optical switching unit 340 (i.e., WSS in the figure) -> optical amplifying unit 310; at the receiving end 330, the optical signal sequentially passes through the optical amplifying unit 310 -> optical switching unit 340 (i.e., WSS in the figure) -> optical amplifying unit 310. Since each OSNR monitoring unit 200 is correspondingly arranged at the output end of an optical amplifying unit 310 in the OTN, when each optical amplifying unit 310 in the OTN is provided with an OSNR monitoring unit 200, the OSNR monitoring system in the present application can cover the monitoring of any position of the OTN, and does not need to obtain a large number of optical fiber link parameters, and is only related to the optical amplifying unit 310, so the implementation has less dependence, and the OSNR monitoring units 200 are independent of each other and can be calculated in parallel, so the whole network monitoring efficiency is high.

[0044] For example, refer to Figure 1 As shown, with wavelength λ 1 Taking the transmission direction of the optical signal of as the sending direction as an example, five optical amplifying units 310 are arranged in the OTN in the sending direction, and correspondingly, five OSNR monitoring units 200 are arranged, and the five OSNR monitoring units 200 are OSNR monitoring unit 2, OSNR monitoring unit 4, OSNR monitoring unit 6, OSNR monitoring unit 8, and OSNR monitoring unit 10 respectively; 1When passing through the five optical amplifying units 310 in sequence, the OSNR monitoring unit 2, the OSNR monitoring unit 4, the OSNR monitoring unit 6, the OSNR monitoring unit 8, and the OSNR monitoring unit 10 respectively calculate the output channel optical power when passing through, thereby obtaining λ 1 Since the optical amplifier unit 310 involves various network segments in the OTN, the channel OSNRs of the OSNR monitoring units 2, 4, 6, 8 and 10 can be combined and accumulated to implement OSNR monitoring of any segment on the transmission link. 1 In the direction opposite to the transmission direction of the optical signal, five optical amplifying units 310 are arranged, and correspondingly, five OSNR monitoring units 200 are arranged, and the five OSNR monitoring units 200 are respectively OSNR monitoring unit 1, OSNR monitoring unit 3, OSNR monitoring unit 5, OSNR monitoring unit 7, and OSNR monitoring unit 9; OSNR monitoring unit 1, OSNR monitoring unit 3, OSNR monitoring unit 5, OSNR monitoring unit 7, and OSNR monitoring unit 9 respectively calculate the output channel optical power passing through the optical amplifying unit 310, so as to obtain the corresponding channel OSNR.

[0045] It is understandable that the optical power detection module 210 is specifically used for:

[0046] Obtaining a top modulation signal output by the corresponding optical amplification unit 310;

[0047] Determine the wavelength value of a specific wavelength according to the frequency of the top modulation signal;

[0048] The output channel optical power corresponding to the wavelength value is determined according to the amplitude of the top modulation signal.

[0049] It should be noted that the top modulation signal is information related to the wavelength label generated based on the top modulation technology. In the related DWDM system, when the optical signal is transmitted in the OTN using the top modulation technology, the wavelength label needs to be detected at each OA. Therefore, the channel optical power detection is realized according to the frequency of the top modulation signal, and there is no need to deploy an additional OCM module. It has high integration and good real-time performance.

[0050] It is understandable that the OSNR calculation module 220 is specifically used for:

[0051] Determine the gain spectrum and noise coefficient spectrum corresponding to the optical amplification unit 310 according to the output channel optical power;

[0052] Determine the input channel optical power according to the output channel optical power and the gain spectrum;

[0053] The corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power.

[0054] It should be noted that the gain spectrum and the noise coefficient spectrum can be determined by inputting the output channel optical power into an existing OA noise analysis model or a trained neural network model. Those skilled in the art can select a specific implementation method for determining the gain spectrum and the noise coefficient spectrum corresponding to the optical amplification unit 310 according to actual needs.

[0055] It should be noted that the sum of the gain spectrum and the output channel optical power is the input channel optical power. Therefore, when the output channel optical power and the gain spectrum are both known, the input channel optical power can be calculated.

[0056] It should be noted that the noise coefficient spectrum, input channel optical power and channel OSNR have a fixed functional relationship, such as OSNR(λ)=P in (λ)-NF c (λ)-10log 10 (hvv r ), therefore, the corresponding channel OSNR can be determined according to the noise coefficient spectrum and the input channel optical power.

[0057] It can be understood that the OTN includes an optical transmission section OTS, an optical multiplexing section OMS and an optical channel layer OCh, and the multiple OSNR monitoring units 200 include a first OSNR monitoring unit arranged in the OTS, a second OSNR monitoring unit arranged in the OMS and a third OSNR monitoring unit arranged in the OCh;

[0058] The control unit 100 is specifically used for:

[0059] Acquire channel OSNRs from all first OSNR monitoring units, accumulate all channel OSNRs to obtain the OSNR of the OTS; and,

[0060] Acquire channel OSNRs from all second OSNR monitoring units, accumulate all channel OSNRs to obtain the OSNR of the OMS; and,

[0061] The channel OSNRs are acquired from all third OSNR monitoring units, and all channel OSNRs are accumulated to obtain the OSNR of the OCh.

[0062] It should be noted that, refer to Figure 3As shown, OTN includes an optical transmission segment OTS, an optical multiplexing segment OMS and an optical path layer OCh, wherein the optical transmission segment OTS corresponds to the portion between the service boards of the receiving end 330 and the transmitting end 320; the optical multiplexing segment OMS corresponds to the portion between the wave splitting of the receiving end 330 and the wave combining of the transmitting end 320; and the optical transmission segment OTS is the portion between the optical amplifying units 310 on the transmission path. Therefore, the channel OSNR is monitored and acquired from all the first OSNR monitoring units, and all the channel OSNRs are accumulated to obtain the OSNR of OTS; and, the channel OSNR is acquired from all the second OSNR monitoring units, and all the channel OSNRs are accumulated to obtain the OSNR of OMS; and, the channel OSNR is acquired from all the third OSNR monitoring units, and all the channel OSNRs are accumulated to obtain the OSNR of OCh.

[0063] It should be noted that by counting the channel OSNR of OAs belonging to different network segments in OTN, it is possible to monitor different dimensions of OTN. In OTN, each OSNR monitoring unit 200 is independent of each other and has no external dependencies, so it can operate efficiently in parallel. No matter what type of OSNR the management needs to query, it only needs to query the associated device-side OSNR monitoring unit 200 and accumulate the query results according to the above formula. The efficiency of the entire process is only related to the interaction time between the management and control and a single OSNR monitoring unit 200, and has nothing to do with the complexity of the optical network and the number of OSNR monitoring units 200.

[0064] For example, the optical transmission section OTS is provided with N optical amplifying units 310, the optical multiplexing section OMS is provided with M optical amplifying units 310, and the optical path layer OCh is provided with K optical amplifying units 310, then the OSNR of OTS, the OSNR of OMS, and the OSNR of OCh respectively satisfy the following formulas:

[0065]

[0066]

[0067]

[0068] Where λ is the wavelength value, OSNR OTS-OA,i (λ) represents the channel OSNR of the i-th optical amplification unit 310 on the OTS. OSNR OMS-OA,i (λ) represents the channel OSNR of the i-th optical amplification unit 310 on the OMS; OSNR OCH-OA,i (λ) represents the channel OSNR of the i-th optical amplifying unit 310 on OCh.

[0069] It is understandable that the OSNR monitoring unit 200 further includes an OSNR performance management unit 230, and the OSNR performance management unit 230 is used to:

[0070] The channel OSNR is stored and the stored OSNR is fed back to the control unit 100 .

[0071] By storing the channel OSNR, it is possible to track historical performance and process historical performance alarms.

[0072] For example, refer to Figure 2 As shown, after detecting the output channel optical power of the corresponding OA, the optical power detection module 210 sends the output channel optical power to the corresponding OSNR calculation module 220 for calculation to obtain the channel OSNR. The channel OSNR is sent to the OSNR performance management unit 230 for storage. The OSNR performance management unit 230 is connected to the control unit 100 through the management interface.

[0073] It is understandable that the OSNR performance management unit 230 is also used for:

[0074] The OSNR performance alarm parameter is received, and when it is determined according to the channel OSNR and the OSNR performance alarm parameter that the alarm condition is met, an alarm is sent to the control unit 100.

[0075] It should be noted that the alarm includes historical performance alarm (such as 24H performance) and real-time performance alarm (such as 15min performance, 15S performance). Those skilled in the art can set the alarm conditions including the performance period, the abnormal threshold value of the performance period, the abnormal type, etc. according to actual needs.

[0076] Reference Figure 4 This is a flow chart of an optical signal-to-noise ratio OSNR monitoring method proposed in this application, referring to Figure 4 As shown, according to an optical signal-to-noise ratio (OSNR) monitoring method proposed in an embodiment of the present application, the method is applied to an OSNR monitoring system, the OSNR monitoring system includes a management and control unit 100 and a plurality of OSNR monitoring units 200 distributed in an optical transport network (OTN), each OSNR monitoring unit 200 is correspondingly arranged at an output end of an optical amplification unit 310 in the OTN, and the method includes:

[0077] Step S100, each OSNR monitoring unit 200 determines the output channel optical power of the corresponding optical amplification unit 310, wherein the output channel optical power corresponds to a specific wavelength;

[0078] Step S200, each OSNR monitoring unit 200 determines the corresponding channel OSNR according to the output channel optical power;

[0079] Step S300 : The management and control unit 100 monitors the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit 200 .

[0080] Therefore, by setting an OSNR monitoring unit 200 corresponding to the optical amplification unit 310 in the OTN and determining the channel OSNR corresponding to each specific wavelength according to the output channel optical power of the specific wavelength monitored, the OSNR monitoring units 200 are independent of each other and have high hardware integration and higher reliability. Multiple OSNR monitoring units 200 can process the optical amplification unit 310 in the OTN in parallel to improve the monitoring efficiency. At the same time, by setting the management and control unit 100, the OSNR of multiple OSNR monitoring units 200 in the OTN are uniformly managed, which has higher maintainability and can reduce dependence on the external environment to realize the monitoring of OSNR at any position of the entire OTN. At the same time, the processing efficiency of the management and control unit 100 has a low correlation with the complexity of the optical network and the number of OSNR monitoring units 200. Therefore, compared with the related art, the embodiment of the present application can improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring.

[0081] It should be noted that the OSNR monitoring unit 200 is related to the optical amplification unit 310, and the corresponding channel OSNR is determined according to the output channel optical power. Therefore, each OSNR monitoring unit 200 is independent of each other and has no external dependency, so that each OSNR monitoring unit 200 in the entire OTN can operate efficiently and in parallel. At the same time, for the upper-layer control unit 100, no matter what type of OSNR the control unit 100 needs to query, it only needs to query the associated device-side OSNR monitoring unit 200. Therefore, the monitoring efficiency of the OSNR of the entire OTN is only related to the interaction time between the control unit 100 and a single OSNR monitoring unit 200, and has nothing to do with the complexity of the optical network and the number of OSNR monitoring units 200.

[0082] It should be noted that, in some embodiments, the optical signal-to-noise ratio OSNR monitoring method of the present application is based on the top adjustment technology, therefore, refer to Figure 2 As shown, the optical power detection module 210 can reuse the existing top modulation detection module to synchronously obtain the optical power of the optical channel when performing wavelength label detection, so that there is no need to deploy an additional OCM module, with high integration and good real-time performance.

[0083] It is understandable that the OSNR monitoring unit 200 determines the output channel optical power of the corresponding optical amplifying unit 310, including:

[0084] Obtaining a top modulation signal output by the corresponding optical amplification unit 310;

[0085] Determine the wavelength value of the specific wavelength according to the frequency of the top modulation signal and the wavelength indication information in the overhead of the top modulation signal;

[0086] The output channel optical power corresponding to the wavelength value is determined according to the amplitude of the top modulation signal.

[0087] It should be noted that the top modulation signal is obtained by processing a specific wavelength based on the top modulation technology. The output channel optical power detection is realized through the frequency of the top modulation signal and the wavelength indication information in the overhead of the top modulation signal, and the detected output channel optical power is transmitted to the OSNR calculation module 220. After the OSNR calculation module 220 obtains the output channel optical power detected by the top modulation, it can calculate the channel OSNR of each wavelength passing through the optical amplifier in combination with the current settings, performance information and pre-calibrated noise coefficient of the optical amplifier unit 310, and transmit the calculation result to the OSNR performance management unit 230, and finally the OSNR performance management unit 230 reports the OSNR performance to the control system.

[0088] It should be noted that the conversion formula for the channel optical power of a specified wavelength is as follows (in dB):

[0089] P(λ)=Amp(λ)+Bias;

[0090] Wherein, P(λ) is the output channel optical power of wavelength λ (i.e., a specific wavelength), Amp(λ) is the amplitude of the top modulation corresponding to the detected wavelength λ (i.e., the frequency of the top modulation signal), and Bias is a pre-calibrated power bias parameter.

[0091] It is understandable that the OSNR monitoring unit 200 determines the corresponding channel OSNR according to the output channel optical power, including:

[0092] Determine the gain spectrum and noise coefficient spectrum corresponding to the optical amplification unit 310 according to the output channel optical power;

[0093] Determine the input channel optical power according to the output channel optical power and the gain spectrum;

[0094] The corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power.

[0095] It should be noted that, assuming the output channel optical power is P out (λ), the gain spectrum is G c (λ), the input channel optical power is as follows:

[0096] P in (λ)=P out (λ)-G c (λ).

[0097] It should be noted that the calculation of channel OSNR depends on the existing OA noise analysis model, which can calculate the noise factor spectrum NF c (λ) and the gain spectrum G c (λ). At this time, the OSNR(λ) of each channel can be obtained as follows:

[0098] OSNR(λ)=P in (λ)-NF c (λ)-10log 10 (hvv r );

[0099] Where h is Planck's constant in mJ·s, v is the frequency corresponding to the wavelength λ in Hz, and ν is r The OSNR reference bandwidth is 0.1 nm, and the unit needs to be converted to Hz, where P in (λ) and NF c (λ) can be determined by the above noise analysis model.

[0100] It is understandable that determining the gain spectrum corresponding to the optical amplification unit 310 includes:

[0101] The gain spectrum corresponding to the optical amplifying unit 310 is determined according to a first mapping relationship between a preset gain spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit 310 .

[0102] It should be noted that the first mapping relationship is as follows:

[0103] G c (λ)=F G_OA (P out (λ),P in,total ,P out,total ,T set ,G set ,G(λ));

[0104] Among them, P out (λ) is the output channel optical power, P in,total is the total input power, P out,total is the total output power, T set is the gain slope, G set is the gain; G c (λ) is the gain spectrum.

[0105] It is understandable that determining the noise coefficient spectrum corresponding to the optical amplification unit 310 includes:

[0106] The gain spectrum corresponding to the optical amplifying unit 310 is determined according to a second mapping relationship between a preset noise coefficient spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit 310 .

[0107] It should be noted that the second mapping relationship is as follows:

[0108] NF c (λ)=F NF_OA (P out (λ),P in,total ,P out,total ,T set ,G set ,NF(λ)).

[0109] Among them, P uut (λ) is the output channel optical power, P in,total is the total input power, P out,total is the total output power, T set is the gain slope, G set is the gain; NF c (λ) is the noise coefficient spectrum.

[0110] It can be understood that the corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power, including:

[0111] Determine a first parameter according to Planck's constant, a frequency corresponding to a specific wavelength, and an OSNR reference bandwidth;

[0112] The corresponding channel OSNR is determined according to the noise coefficient spectrum, the input channel optical power and the first parameter.

[0113] Therefore, by calibrating the gain spectrum G(λ) and noise factor spectrum NF(λ) under different working conditions of OA in advance, and according to the actual detected OA output channel optical power P out (λ), total power at input and output (P in,total ,P out,total ) and the gain slope T currently set by OA set , gain G set The gain spectrum G under the current working conditions of OA can be obtained by c (λ), noise factor spectrum NF c (λ) and the input channel optical power P in (λ), the specific calculation formula (dB unit) is as follows:

[0114] G c (λ)=F G_OA (P out (λ),P in,total ,P out,total ,Tset ,G set ,G(λ));

[0115] NF c (λ)=F NF_OA (P out (λ),P in,total ,P out,total ,T set ,G set ,NF(λ));

[0116] P in (λ)=P out (λ)-G c (λ);

[0117] Among them, F G_OA is the actual gain spectrum G(λ) of OA, which is different from the known output power P out (λ), total input and output power (P in,total ,P out,total ) and the gain slope T currently set by OA set , gain G set The relationship function between NF_OA is the actual noise factor spectrum NF(λ) of OA and the known output power spectrum P out (λ), total input and output power (P in,total ,P out,total ) and the gain slope T currently set by OA set , gain G set The relationship function between can be obtained by pre-calibration, such as by using a lookup table or a neural network to achieve the above functional relationship. At this time, the OSNR (λ) of each channel can be obtained as follows:

[0118] OSNR(λ)=P in (λ)-NF c (λ)-10log 10 (hvv r ).

[0119] It can be understood that the OTN includes an optical transmission segment OTS, an optical multiplexing segment OMS, and an optical path layer OCh. The multiple OSNR monitoring units 200 include a first OSNR monitoring unit provided in the OTS, a second OSNR monitoring unit provided in the OMS, and a third OSNR monitoring unit provided in the OCh. The management and control unit 100 monitors the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit 200, including at least one of the following:

[0120] The control unit 100 obtains channel OSNRs from all first OSNR monitoring units, accumulates all channel OSNRs, and obtains the OSNR of the OTS;

[0121] The control unit 100 obtains the channel OSNR from all the second OSNR monitoring units, accumulates all the channel OSNRs, and obtains the OSNR of the OMS;

[0122] The control unit 100 obtains the channel OSNR from all the third OSNR monitoring units, accumulates all the channel OSNRs, and obtains the OSNR of OCh.

[0123] For example, taking the OTS segment OSNR query as an example, the control unit 100 initiates the OTS segment OSNR query, firstly associates with the OA corresponding to the OTS segment, and then queries the OSNR of all OAs in the OTS segment from the OSNR monitoring unit 200 (such as Figure 1 As shown, the OSNR monitoring unit 5 and the OSNR monitoring unit 6 are associated to obtain the channel OSNR of each OA and accumulate all the channel OSNRs to obtain the OSNR of the OTS.

[0124] For example, taking the OMS segment OSNR query as an example, the control unit 100 initiates the OMS segment OSNR query, firstly associates with the OA corresponding to the OMS segment, and then queries the OSNR of all OAs in the OMS segment from the OSNR monitoring unit 200 (such as Figure 1 As shown, OSNR monitoring units 3 to 8 are associated to obtain the channel OSNR of each OA and accumulate all channel OSNRs to obtain the OSNR of the OMS.

[0125] Exemplarily, taking the OCh channel OSNR query as an example, the management and control unit 100 initiates the OCh channel OSNR query, firstly associates with all OAs on the OCh channel path, and then queries the OSNR of all OAs on the OCh channel path from the OSNR monitoring unit 200 to obtain the channel OSNR of each OA and accumulate all channel OSNRs to obtain the OSNR of OCh.

[0126] It is understood that the method further comprises:

[0127] Each OSNR monitoring unit 200 stores the channel OSNR;

[0128] Each OSNR monitoring unit 200 feeds back the OSNR stored in itself to the control unit 100 .

[0129] It is understood that the method further comprises:

[0130] Each OSNR monitoring unit 200 receives an OSNR performance alarm parameter;

[0131] Each OSNR monitoring unit 200 sends an alarm to the control unit 100 when it is determined that the alarm condition is reached according to the channel OSNR and OSNR performance alarm parameters;

[0132] The performance alarm parameter includes at least one of a high OSNR threshold value, a low OSNR threshold value, an OSNR flatness threshold value, and an OSNR fluctuation threshold value.

[0133] It should be noted that the high OSNR threshold value, the low OSNR threshold value, the OSNR flatness threshold value, and the OSNR fluctuation threshold value can be selectively set according to actual needs. In this regard, the embodiments of the present application do not limit how to set the values. In some embodiments, the high OSNR threshold value, the low OSNR threshold value, the OSNR flatness threshold value, and the OSNR fluctuation threshold value can be modified through an interface or a configuration file, or can be directly set as a fixed value in the program. In this regard, the embodiments of the present application do not limit their setting methods.

[0134] It should be noted that the OSNR flatness threshold is used to characterize the variation trend of OSNRs of multiple channels under the same OA, and the OSNR fluctuation threshold is used to characterize the variation trend of OSNRs of the same channel at different times.

[0135] It should be noted that the performance alarm parameters include real-time performance parameters and historical performance parameters.

[0136] For real-time performance parameters, see, for example, Figure 2 As shown in the figure, taking the case where the optical signal is transmitted using the top modulation technology and the OSNR query of the OMS section is taken as an example, it includes:

[0137] 1) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates the OSNR performance collection demand. At this time, the top adjustment detection module as the optical power detection module 210 will collect the optical power of all wavelength channels at this detection point and transfer it to the OSNR calculation module 220. The OSNR calculation module 220 will feed back the real-time calculated OSNR result to the OSNR performance management unit 230;

[0138] 2) The OSNR performance management unit 230 of each OA will feed back the real-time calculated OSNR result to the control unit 100, and finally the control unit 100 will calculate the OTS segment OSNR according to the aforementioned accumulation formula.

[0139] For real-time performance parameters, for example, taking the OMS segment OSNR query as an example, it includes:

[0140] 1) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates the OSNR performance collection demand. At this time, the top adjustment detection module as the optical power detection module 210 will collect the optical power of all wavelength channels at this detection point and transfer it to the OSNR calculation module 220. The OSNR calculation module 220 will feed back the real-time calculated OSNR result to the OSNR performance management unit 230;

[0141] 2) The OSNR monitoring unit 200 of each OA will feed back the OSNR result calculated in real time in the OSNR performance management unit 230 to the control unit 100, and finally the control unit 100 will calculate the OMS segment OSNR according to the aforementioned accumulation formula.

[0142] For real-time performance parameters, see, for example, Figure 2 As shown, the optical signal is transmitted using the top modulation technology, and the OSNR query of the OCh channel is taken as an example, including:

[0143] 1) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates the OSNR performance collection demand. At this time, the top adjustment detection module as the optical power detection module 210 will collect the optical power of all wavelength channels at this detection point and transfer it to the OSNR calculation module 220. The OSNR calculation module 220 will feed back the real-time calculated OSNR result to the OSNR performance management unit 230;

[0144] 2) The OSNR monitoring unit 200 of each OA will feed back the OSNR result calculated in real time in the OSNR performance management unit 230 to the control unit 100, and finally the control unit 100 will calculate the OSNR of the OCh channel according to the aforementioned accumulation formula.

[0145] For historical performance parameters, for example, taking the historical OSNR performance query of OTS / OMS / OCh as an example, there are:

[0146] 1) The OSNR monitoring unit 200 of each OA in the optical network spontaneously collects the instantaneous OSNR of all channels, counts the maximum, minimum and average values ​​of the OSNR of each channel within a set time and stores them in the OSNR performance management unit 230;

[0147] 2) The control initiates a historical OSNR query of the OTS / OMS / OCh, firstly associates all OAs corresponding to the OTS / OMS / OCh, and then queries the historical OSNR performance of the OSNR monitoring units 200 of all relevant OAs;

[0148] 3) In the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 feeds back the stored historical OSNR performance to the control unit 100;

[0149] 4) The control calculates the historical OSNR performance of OTS / OMS / OCh according to the aforementioned cumulative formula.

[0150] For performance alarm parameters, for example, taking OSNR performance alarm as an example, there are:

[0151] 1) The control unit 100 or an external user configures OSNR performance alarm parameters, including high OSNR threshold, low OSNR threshold, OSNR flatness threshold, OSNR fluctuation threshold, etc.;

[0152] 2) Each OSNR monitoring unit 200 in the optical network spontaneously collects the instantaneous OSNR of all channels. When the instantaneous OSNR exceeds the high OSNR threshold value, a high threshold alarm is reported; when the instantaneous OSNR exceeds the low OSNR threshold value, a low threshold alarm is reported; when the OSNR flatness of all channels exceeds the OSNR flatness threshold value, an OSNR flatness over-limit alarm is reported; when the difference between the OSNR value at the current moment and the OSNR value at the previous moment exceeds the OSNR fluctuation threshold value, an OSNR fluctuation over-limit alarm is reported.

[0153] It should be noted that the OTN in the present application can be an arbitrary wavelength division multiplexing network. Therefore, the optical signal-to-noise ratio (OSNR) monitoring method provided in the present application can be applied to any wavelength division multiplexing network for OSNR monitoring. At the same time, the optical signal-to-noise ratio (OSNR) system of the present application can be deployed in any wavelength division multiplexing network as a deployment implementation strategy for an online OSNR monitoring system.

[0154] It should be noted that the optical signal-to-noise ratio (OSNR) monitoring method and system of the present application can be applied to the online operation and maintenance stage of the wavelength division network to enable the intelligence of the optical layer.

[0155] Understandably, referring to Figure 5 , Figure 5 The part of the hardware structure of the optical signal to noise ratio (OSNR) monitoring system of another embodiment is illustrated. According to an optical signal to noise ratio (OSNR) monitoring system provided by the present application, the system comprises:

[0156] A plurality of processors 501;

[0157] A plurality of memories 502 for storing computer executable programs;

[0158] When the computer executable program is executed by multiple processors 501, any one of the above optical signal-to-noise ratio OSNR monitoring methods is implemented.

[0159] The memory 502 is a non-transient network system that can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory 502 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory 502 may optionally include a memory remotely arranged relative to the processor 501, and these remote memories may be connected to the processor 501 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0160] The processor 501 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0161] The memory 502 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory 502 (RAM). The memory 502 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 502, and the processor 501 calls and executes the methods of the embodiments of this application;

[0162] In some embodiments, the optical signal-to-noise ratio (OSNR) monitoring system further comprises:

[0163] Input / output interface, used to realize information input and output;

[0164] Communication interface, used to realize communication interaction between this device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0165] A bus that transmits information between various components of the device (e.g., processor 501, memory 502, input / output interface, and communication interface);

[0166] The processor 501 , the memory 502 , the input / output interface and the communication interface can be connected to each other in communication within the device via a bus.

[0167] It is understandable that according to a computer-readable storage medium provided by the present application, a program executable by a processor is stored in the computer-readable storage medium, and the program executable by the processor is used to implement any of the optical signal-to-noise ratio OSNR monitoring methods described above when executed by the processor.

[0168] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium 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 storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that 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.

Claims

1. An optical signal-to-noise ratio (OSNR) monitoring method, applied to an OSNR monitoring system, wherein the OSNR monitoring system comprises a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units being arranged at an output end of an optical amplification unit in the OTN, the method comprising: Each of the OSNR monitoring units determines an output channel optical power of the corresponding optical amplification unit, wherein the output channel optical power corresponds to a specific wavelength; Each of the OSNR monitoring units determines the corresponding channel OSNR according to the output channel optical power; The management and control unit monitors the OSNR of the OTN according to the channel OSNR of each of the OSNR monitoring units.

2. The method according to claim 1, characterized in that The OSNR monitoring unit determines the output channel optical power of the corresponding optical amplifying unit, including: Acquire a top modulation signal output by the corresponding optical amplification unit; Determine the wavelength value of the specific wavelength according to the frequency of the top modulation signal and the wavelength indication information in the overhead of the top modulation signal; The output channel optical power corresponding to the wavelength value is determined according to the amplitude of the top modulation signal.

3. The method according to claim 1, characterized in that The OSNR monitoring unit determines the corresponding channel OSNR according to the output channel optical power, including: Determine the gain spectrum and noise coefficient spectrum corresponding to the optical amplification unit according to the output channel optical power; Determine the input channel optical power according to the output channel optical power and the gain spectrum; The corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power.

4. The method according to claim 3, characterized in that Determining the gain spectrum corresponding to the optical amplification unit includes: The gain spectrum corresponding to the optical amplifying unit is determined according to a first mapping relationship between a preset gain spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit.

5. The method according to claim 3, characterized in that: Determining the noise coefficient spectrum corresponding to the optical amplification unit includes: The gain spectrum corresponding to the optical amplifying unit is determined according to a second mapping relationship between a preset noise coefficient spectrum and the output channel optical power, input total power, output total power, gain slope, and gain of the optical amplifying unit.

6. The method according to any one of claims 3 to 5, characterized in that: The determining the corresponding channel OSNR according to the noise coefficient spectrum and the input channel optical power comprises: Determine a first parameter according to Planck's constant, a frequency corresponding to the specific wavelength, and an OSNR reference bandwidth; The corresponding channel OSNR is determined according to the noise coefficient spectrum, the input channel optical power and the first parameter.

7. The method according to claim 1, characterized in that The OTN includes an optical transmission segment OTS, an optical multiplexing segment OMS, and an optical path layer OCh. The multiple OSNR monitoring units include a first OSNR monitoring unit arranged in the OTS, a second OSNR monitoring unit arranged in the OMS, and a third OSNR monitoring unit arranged in the OCh. The management and control unit monitors the OSNR of the OTN according to the channel OSNR of each of the OSNR monitoring units, including at least one of the following: The control unit monitors and obtains the channel OSNR from all the first OSNR monitoring units, and accumulates all the channel OSNRs to obtain the OSNR of the OTS; The control unit obtains the channel OSNR from all the second OSNR monitoring units, accumulates all the channel OSNRs, and obtains the OSNR of the OMS; The control unit obtains the channel OSNR from all the third OSNR monitoring units, and accumulates all the channel OSNRs to obtain the OSNR of the OCh.

8. The method according to claim 7, characterized in that The method further comprises: Each of the OSNR monitoring units stores the channel OSNR; Each of the OSNR monitoring units feeds back the OSNR stored in itself to the control unit.

9. The method according to claim 8, characterized in that The method further comprises: Each of the OSNR monitoring units receives an OSNR performance alarm parameter; Each of the OSNR monitoring units sends an alarm to the control unit when it is determined that an alarm condition is reached according to the channel OSNR and the OSNR performance alarm parameter; The performance alarm parameter includes at least one of a high OSNR threshold value, a low OSNR threshold value, an OSNR flatness threshold value, and an OSNR fluctuation threshold value.

10. An optical signal-to-noise ratio (OSNR) monitoring system, the OSNR monitoring system comprising a management and control unit and a plurality of OSNR monitoring units distributed in an optical transport network (OTN), each of the OSNR monitoring units being arranged at an output end of an optical amplification unit in the OTN; The OSNR monitoring unit includes an optical power detection module and an OSNR calculation module, wherein: The optical power detection module is used to determine the output channel optical power of the corresponding optical amplifying unit; The OSNR calculation module determines the corresponding channel OSNR according to the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength; The control unit is used to monitor the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit.

11. The OSNR monitoring system according to claim 10, characterized in that: The optical power detection module is specifically used for: Acquire a top modulation signal output by the corresponding optical amplification unit; Determining a wavelength value of the specific wavelength according to the frequency of the top modulation signal; The output channel optical power corresponding to the wavelength value is determined according to the amplitude of the top modulation signal.

12. The OSNR monitoring system according to claim 10, characterized in that: The OSNR calculation module is specifically used for: Determine the gain spectrum and noise coefficient spectrum corresponding to the optical amplification unit according to the output channel optical power; Determine the input channel optical power according to the output channel optical power and the gain spectrum; The corresponding channel OSNR is determined according to the noise coefficient spectrum and the input channel optical power.

13. The OSNR monitoring system according to claim 10, characterized in that: The OTN includes an optical transmission section OTS, an optical multiplexing section OMS and an optical channel layer OCh, and the multiple OSNR monitoring units include a first OSNR monitoring unit arranged in the OTS, a second OSNR monitoring unit arranged in the OMS and a third OSNR monitoring unit arranged in the OCh; The control unit is specifically used for: Acquire the channel OSNR from all the first OSNR monitoring units, accumulate all the channel OSNRs to obtain the OSNR of the OTS; and, Acquire the channel OSNR from all the second OSNR monitoring units, accumulate all the channel OSNRs, and obtain the OSNR of the OMS; as well as, The channel OSNR is acquired from all the third OSNR monitoring units, and all the channel OSNRs are accumulated to obtain the OSNR of the OCh.

14. The OSNR monitoring system according to claim 13, characterized in that: The OSNR monitoring unit further comprises an OSNR performance management unit, and the OSNR performance management unit is used for: The channel OSNR is stored, and the stored OSNR is fed back to the control unit.

15. The OSNR monitoring system according to claim 14, characterized in that: The OSNR performance management unit is further configured to: An OSNR performance alarm parameter is received, and when it is determined according to the channel OSNR and the OSNR performance alarm parameter that an alarm condition is reached, an alarm is sent to the control unit.

16. An optical signal-to-noise ratio (OSNR) monitoring system, comprising: Multiple processors; a plurality of memories for storing computer executable programs; When the computer executable program is executed by a plurality of the processors, the optical signal-to-noise ratio (OSNR) monitoring method according to any one of claims 1 to 9 is implemented.

17. A computer-readable storage medium, wherein a program executable by a processor is stored in the computer-readable storage medium, wherein the program executable by the processor is used to implement the optical signal-to-noise ratio (OSNR) monitoring method according to any one of claims 1 to 9 when executed by the processor.

Images