Optical signal-to-noise ratio (osnr) monitoring method, system, and storage medium

Abstract

This application provides an optical signal-to-noise ratio (OSNR) monitoring method, system, and storage medium, relating to, but not limited to, the field of communication technology. The OSNR monitoring system includes a control unit and multiple OSNR monitoring units distributed throughout an optical transport network (OTN). Each OSNR monitoring unit is correspondingly located at the output end of an optical amplification unit within the OTN. Each OSNR monitoring unit determines the output channel optical power of its corresponding optical amplification unit; each OSNR monitoring unit determines the corresponding channel OSNR based on the output channel optical power; the control unit monitors the OSNR of the OTN based on the channel OSNR of each OSNR monitoring unit. By corresponding the OSNR monitoring units with optical amplification units, each OSNR monitoring unit can calculate independently, and the control unit enables monitoring at any location, thereby improving the reliability, hardware integration, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring.

Description

Technical Field

[0001] This application relates to, but is not limited to, the field of communication technology, and particularly to a method, system, and storage medium for monitoring optical signal-to-noise ratio (OSNR). Background Technology

[0002] Online optical signal-to-noise ratio (OSNR) monitoring refers to measuring the OSNR of a service without interrupting the service. In early wavelength division multiplexing (WDM) systems (typically 10G systems), because the allocated spectrum grid was much larger than the signal bandwidth, there was no spectral overlap between adjacent channels, and the noise floor was not affected by filtering. Therefore, out-of-band interpolation was typically used to estimate the noise floor and OSNR. Later, with the commercial deployment of 40G and 100G systems, due to the filtering effect of ROADM sites and crosstalk between adjacent channels, the out-of-band noise floor could no longer represent the true noise level within the channel, rendering traditional out-of-band interpolation estimation methods completely ineffective. In related technologies, optical methods, DSP methods, spectral comparison methods, and fiber optic link-based parameter estimation methods are commonly used for OSNR monitoring. Among these, optical methods have many external dependencies and low monitoring reliability, DSP methods have a limited monitoring range, spectral comparison methods have poor hardware integration, thus limiting the monitoring range, and fiber optic link-based parameter estimation methods have complex processes, poor monitoring efficiency, and poor maintainability. Therefore, there is an urgent need for an optical signal-to-noise ratio (OSNR) monitoring method that can solve the above problems and improve the reliability, hardware integration, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring. Summary of the Invention

[0003] This 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.

[0004] Firstly, according to the optical signal-to-noise ratio (OSNR) monitoring method provided in this application, an OSNR monitoring system is applied, wherein the OSNR monitoring system includes a control unit and multiple OSNR monitoring units distributed in an optical transport network (OTN), each OSNR monitoring unit being correspondingly located at the output end of an optical amplification unit in the OTN, and the method comprising: Each of the OSNR monitoring units determines the 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 based on the output channel optical power; The control unit monitors the OSNR of the OTN based on the channel OSNR of each of the OSNR monitoring units.

[0005] Secondly, according to the optical signal-to-noise ratio (OSNR) monitoring system provided in this application, the OSNR monitoring system includes a control unit and multiple OSNR monitoring units distributed in an optical transport network (OTN), and each OSNR monitoring unit is correspondingly set at the 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 optical power of the corresponding output channel of the optical amplification unit. The OSNR calculation module determines the corresponding channel OSNR based on 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 based on the channel OSNR of each of the OSNR monitoring units.

[0006] Thirdly, according to the optical signal-to-noise ratio (OSNR) monitoring system provided in this application, the system includes: Multiple processors; Multiple storage devices are used to store computer-executable programs; When the computer executable program is executed by the plurality of processors, it implements the optical signal-to-noise ratio (OSNR) monitoring method as described in any one of the first aspects.

[0007] Fourthly, according to the present application, a computer-readable storage medium stores a processor-executable program, which, when executed by a processor, is used to implement the optical signal-to-noise ratio (OSNR) monitoring method as described in any one of the first aspects. The embodiments of this application have at least the following beneficial effects: by setting the OSNR monitoring unit to correspond with the optical amplification unit in the OTN and determining the channel OSNR corresponding to each specific wavelength based on the output channel optical power of the monitored specific wavelength, the OSNR monitoring units are independent of each other and have high hardware integration and higher reliability. Moreover, multiple OSNR monitoring units can process the optical amplification unit in the OTN in parallel to improve monitoring efficiency. At the same time, by setting a management and control unit to uniformly manage the OSNR of multiple OSNR monitoring units in the OTN, the maintainability is higher, and the dependence on the external environment can be reduced to realize the monitoring of OSNR at any location in the entire OTN. In addition, the processing efficiency of the management and control unit is less correlated with the complexity of the optical network and the number of OSNR monitoring units. Therefore, compared with related technologies, the embodiments of this application can improve the reliability, hardware integration, monitoring range, monitoring efficiency and maintainability of OSNR monitoring. Attached Figure Description

[0008] Figure 1 This is a system networking diagram of an embodiment of the optical signal-to-noise ratio (OSNR) monitoring system provided in this application; Figure 2 This is a block diagram of the OSNR monitoring unit in the optical signal-to-noise ratio (OSNR) monitoring system provided in this application; Figure 3 This is a schematic diagram of the OTN components in an embodiment of the optical signal-to-noise ratio (OSNR) monitoring system provided in this application; Figure 4 This is a flowchart illustrating the optical signal-to-noise ratio (OSNR) monitoring method provided in this application; Figure 5 This is a schematic diagram of the system hardware structure of another embodiment of the optical signal-to-noise ratio (OSNR) monitoring system provided in this application.

[0009] Figure label: Control Unit 100 OSNR monitoring unit 200, optical power detection module 210, OSNR calculation module 220, OSNR performance management unit 230 Optical amplification unit 310, transmitter 320, receiver 330, optical switching unit 340. Detailed Implementation

[0010] For the purposes of this application The technical solution and advantages are now clearer and more apparent. The following detailed description, in conjunction with the accompanying drawings and embodiments, further illustrates this application. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of this application.

[0011] It should be noted that although functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart.

[0012] In this application, the terms "furthermore," "exemplarily," or "optionally" are used as examples, illustrations, or descriptions and should not be construed as being more preferred or advantageous than other embodiments or designs. The use of terms such as "furthermore," "exemplarily," or "optionally" is intended to present the relevant concepts in a specific manner.

[0013] Before providing a further detailed description of the embodiments disclosed in this application, the terms and concepts used in the embodiments of this application are explained, and the terms and concepts used in the embodiments of this application shall be interpreted as follows: Dense Wavelength Division Multiplexing (DWDM) is a technology that combines multiple optical carrier signals of different wavelengths with closely spaced spectral distances (carrying various information) at the transmitting end using a multiplexer (also known as a multiplexer) and couples them into the same optical fiber for transmission.

[0014] Top modulation technology involves superimposing a small-amplitude low-frequency sine or cosine modulation onto each wavelength at the transmitting end. When this low-frequency sine or cosine signal is superimposed onto the optical wavelength, it will have a modulation amplitude at the top of the optical wavelength.

[0015] Before providing a further detailed description of the embodiments disclosed in this application, the explanations of the Chinese and English abbreviations used in the embodiments disclosed in this application are as follows: Table 1:

[0016] Table 1 It should be noted that online optical signal-to-noise ratio (OSNR) monitoring refers to measuring the OSNR of a service without interrupting the service. In early wavelength division multiplexing (WDM) systems (usually referring to 10G systems), because the allocated spectrum grid was much larger than the signal bandwidth, there was no spectral overlap between adjacent channels, and the noise floor was not affected by filtering. Therefore, out-of-band interpolation methods were typically used to estimate the noise floor and OSNR. Later, with the commercial deployment of 40G and 100G systems, due to the filtering effect of ROADM sites and crosstalk between adjacent channels, the out-of-band noise floor could no longer represent the true noise level within the channel, and traditional out-of-band interpolation estimation methods became completely ineffective. In related technologies, to address the impact of ROADM site filtering effects and crosstalk between adjacent channels during the commercial deployment of 40G and 100G systems, optical methods, DSP methods, spectral comparison methods, and fiber optic link-based parameter estimation methods are commonly used for OSNR monitoring. Among these, optical methods have many external dependencies and low monitoring reliability, DSP methods have a limited monitoring range, spectral comparison methods have poor hardware integration, thus limiting the monitoring range, and fiber optic link-based parameter estimation methods have complex processes, poor monitoring efficiency, and poor maintainability. Specifically, taking optical methods as an example, the essence of OSNR detection lies in the quantitative separation of signal light and ASE noise. Separation can be achieved based on their optical differences: for instance, if the signal light is a coherent source and ASE noise is an incoherent source, separation can be achieved using nonlinear methods such as delayed interference or even stimulated Brillouin effect; another example is that the signal light consists of two orthogonally polarized signals, while the polarization state of ASE noise is random, and separation can be achieved using the polarization zeroing method. However, optical methods are generally greatly affected by the environment. For example, interference effects are very sensitive to ambient temperature and subtle vibrations, and the signal polarization state also changes rapidly due to environmental influences, resulting in inaccurate calculated OSNR and poor monitoring reliability. Taking DSP methods as another example, separation is achieved by demodulating the signal or utilizing the statistical characteristics of signal correlation and noise independence. Although it can be integrated into most mainstream coherent optical modules, 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, thus limiting its detection coverage. For example, spectral comparison methods achieve separation by comparing the differences in spectral values ​​caused by noise; they can detect the OSNR between any nodes and can compensate for the insufficient detection coverage of DSP-type methods, but the detection accuracy is heavily dependent on the spectral resolution of OCM, which results in the calculated OSNR being inaccurate.Parameter estimation methods based on fiber optic links can estimate the OSNR at any location in the fiber optic link by combining information such as the detected optical power and pre-calibrated fiber optic link parameters with physical models of the fiber and optical amplifier. This method only requires the deployment of an OCM at the node, with no additional hardware deployment requirements beyond power detection, and offers a large detection coverage area without blind spots. However, it relies on the accurate calibration and simulation calculation of the fiber optic link. In actual engineering deployments, fiber optic link parameters are often not obtainable in real time, and obtaining a large number of fiber optic link parameters makes the OSNR estimation process extremely complex, resulting in significant drawbacks such as numerous implementation dependencies and difficult engineering maintenance. Therefore, this 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.

[0017] Reference Figures 1 to 2 As shown, Figure 1 This is a system networking diagram of an embodiment of the optical signal-to-noise ratio (OSNR) monitoring system provided in this application; Figure 2 This is a block diagram of the OSNR monitoring unit 200; the optical signal-to-noise ratio (OSNR) monitoring system provided in this application includes a control unit 100 and multiple OSNR monitoring units 200 distributed in the optical transport network (OTN), with each OSNR monitoring unit 200 correspondingly set at the output end of an optical amplification unit 310 in the OTN; The OSNR monitoring unit 200 includes an optical power detection module 210 and an OSNR calculation module 220, wherein... The optical power detection module 210 is used to determine the output channel optical power of the corresponding optical amplification unit 310; The OSNR calculation module 220 determines the corresponding channel OSNR based on the output channel optical power, wherein the output channel optical power corresponds to a specific wavelength; The control unit 100 is used to monitor the OSNR of the OTN based on the channel OSNR of each OSNR monitoring unit 200.

[0018] Therefore, by setting the OSNR monitoring unit 200 to correspond with the optical amplification unit 310 in the OTN and determining the channel OSNR corresponding to each specific wavelength based on the output channel optical power of the monitored specific wavelength, the OSNR monitoring units 200 are independent of each other, have high hardware integration, and higher reliability. Furthermore, multiple OSNR monitoring units 200 can process the optical amplification unit 310 in the OTN in parallel to improve monitoring efficiency. Simultaneously, by setting the management unit 100 to uniformly manage the OSNR of multiple OSNR monitoring units 200 in the OTN, maintainability is improved, and dependence on the external environment is reduced, enabling monitoring of OSNR at any location within the entire OTN. Moreover, the processing efficiency of the management unit 100 is less correlated with the complexity of the optical network and the number of OSNR monitoring units 200. Therefore, compared with related technologies, the embodiments of this application can improve the reliability, hardware integration, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring.

[0019] For example, refer to Figure 1 and Figure 3 As shown, the OTN includes a transmitter 320, an OTS segment, and a receiver 330 on the user side. The optical signal travels from the transmitter 320 to the OTS segment and then to the receiver 330 on the user side. At the transmitter 320, the optical signal sequentially passes through an optical amplification unit 310, an optical switching unit 340 (i.e., the WSS in the diagram), and then back to the optical amplification unit 310. Simultaneously, at the receiver 330, the optical signal sequentially passes through the optical amplification unit 310, the optical switching unit 340 (i.e., the WSS in the diagram), and then back to the optical amplification unit 310. Since each OSNR monitoring unit 200 is correspondingly located at the output of one optical amplification unit 310 in the OTN, when each optical amplification unit 310 in the OTN is equipped with an OSNR monitoring unit 200, the OSNR monitoring system of this application can cover monitoring of any location within the OTN. It does not require acquiring a large number of fiber optic link parameters, as they are only related to the optical amplification unit 310. Therefore, the implementation has fewer dependencies, and the OSNR monitoring units 200 are independent of each other and can be computed in parallel, resulting in high network-wide monitoring efficiency.

[0020] For example, refer to Figure 1 As shown, with wavelength as Taking the transmission direction of the optical signal as the transmission direction as an example, five optical amplification units 310 are set in the OTN in the transmission direction. Correspondingly, five OSNR monitoring units 200 are set. 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. As the light passes through five optical amplification units 310 in sequence, OSNR monitoring units 2, 4, 6, 8, and 10 calculate the output channel optical power during the passage, thereby obtaining... The channel OSNR. Since the optical amplification unit 310 involves various network segments in the OTN, the channel OSNR of OSNR monitoring units 2, 4, 6, 8, and 10 can be combined and accumulated to achieve OSNR monitoring of any segment on the transmission link. Similarly, with a wavelength of... Five optical amplification units 310 are set in the opposite direction of the optical signal transmission direction, and correspondingly, five OSNR monitoring units 200 are set. The five OSNR monitoring units 200 are 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 of the optical amplification unit 310, thereby obtaining the corresponding channel OSNR.

[0021] Understandably, the optical power detection module 210 is specifically used for: Obtain the tuning signal output by the corresponding optical amplification unit 310; The wavelength value of a specific wavelength is determined based on the frequency of the tuning signal; The output channel optical power corresponding to the wavelength value is determined based on the amplitude of the tuning signal.

[0022] It should be noted that the top-tuning signal is information related to wavelength tags generated based on the top-tuning technology. In the relevant DWDM system, when the optical signal is transmitted in the OTN using the top-tuning technology, wavelength tags need to be detected at each OA. Therefore, channel optical power detection can be achieved based on the frequency of the top-tuning signal, without the need to deploy an additional OCM module, resulting in high integration and good real-time performance.

[0023] Understandably, the OSNR calculation module 220 is specifically used for: The gain spectrum and noise figure spectrum of the optical amplifier unit 310 are determined based on the optical power of the output channel. Determine the input channel optical power based on the output channel optical power and gain spectrum; The corresponding channel OSNR is determined based on the noise figure spectrum and the input channel optical power.

[0024] It should be noted that the gain spectrum and noise figure 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 choose a specific implementation method to determine the gain spectrum and noise figure spectrum corresponding to the optical amplification unit 310 according to actual needs.

[0025] It should be noted that the sum of the gain spectrum and the output channel optical power is the input channel optical power. Therefore, if the output channel optical power and the gain spectrum are known, the input channel optical power can be calculated.

[0026] It should be noted that the noise figure spectrum, input channel optical power, and channel OSNR have a fixed functional relationship, such as... Therefore, the corresponding channel OSNR can be determined based on the noise figure spectrum and the input channel optical power.

[0027] It is understood that OTN includes an optical transmission section (OTS), an optical multiplexing section (OMS), and an optical path layer (OCh). The multiple OSNR monitoring units 200 include a first OSNR monitoring unit located in the OTS, a second OSNR monitoring unit located in the OMS, and a third OSNR monitoring unit located in the OCh. Control unit 100 is specifically used for: The channel OSNR is acquired from all first OSNR monitoring units, and the OSNR of all channels is accumulated to obtain the OSNR of the OTS; and, Obtain the channel OSNR from all second OSNR monitoring units, accumulate the OSNR of all channels, and obtain the OSNR of the OMS; and... Obtain the channel OSNR from all third OSNR monitoring units, accumulate the OSNR of all channels, and obtain the OSNR of OCh.

[0028] It should be noted that, referring to Figure 3 As shown, the OTN includes an optical transmission section (OTS), an optical multiplexing section (OMS), and an optical path layer (OCh). The OTS corresponds to the portion between the service boards of the receiver 330 and the transmitter 320; the OMS corresponds to the portion between the wavelength division of the receiver 330 and the wavelength combination of the transmitter 320; and the OTS is the portion between the optical amplification units 310 along the transmission path. Therefore, the channel OSNR is obtained from all first OSNR monitoring units, and the OSNR of all channels is accumulated to obtain the OSNR of the OTS; the channel OSNR is obtained from all second OSNR monitoring units, and the OSNR of all channels is accumulated to obtain the OSNR of the OMS; and the channel OSNR is obtained from all third OSNR monitoring units, and the OSNR of all channels is accumulated to obtain the OSNR of the OCh.

[0029] It should be noted that by statistically analyzing the channel OSNR of OAs belonging to different network segments within the OTN, monitoring of different dimensions of the OTN can be achieved. Furthermore, each OSNR monitoring unit 200 within the OTN is independent and has no external dependencies, thus allowing for efficient parallel operation. Regardless of the type of OSNR that 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 formula mentioned above. The efficiency of the entire process is only related to the interaction time between management and a single OSNR monitoring unit 200, and is independent of the complexity of the optical network and the number of OSNR monitoring units 200.

[0030] For example, an optical transport segment (OTS) is configured with Each optical amplification unit 310, the optical multiplexing section OMS is equipped with... Each optical amplification unit 310, the optical path layer OCh is provided with For each optical amplification unit 310, the OSNR of OTS, the OSNR of OMS, and the OSNR of OCh satisfy the following formulas respectively: ; ; ; in, This is the wavelength value. Indicates the first on OTS The channel OSNR of the optical amplification unit 310. Indicates the first on OMS The channel OSNR of the optical amplification unit 310; Indicates the first on OCh The channel OSNR of the optical amplification unit 310.

[0031] Understandably, the OSNR monitoring unit 200 also includes an OSNR performance management unit 230, which is used for: The channel OSNR is stored, and the stored OSNR is fed back to the management and control unit 100.

[0032] By storing the channel OSNR, it is possible to track historical performance and handle historical performance alarms.

[0033] For example, refer to Figure 2As shown, after detecting the optical power of the corresponding OA output channel, 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 then sent to the OSNR performance management unit 230 for storage. The OSNR performance management unit 230 is communicatively connected to the control unit 100 through a management interface.

[0034] Understandably, the OSNR performance management unit 230 is also used for: Receive OSNR performance alarm parameters, and if the alarm conditions are met based on the channel OSNR and OSNR performance alarm parameters, send an alarm to the control unit 100.

[0035] It should be noted that alarms include historical performance alarms (such as 24-hour performance alarms) and real-time performance alarms (such as 15-minute performance alarms and 15-second performance alarms). Those skilled in the art can set alarm conditions according to actual needs, including the performance period, the abnormal threshold value of the performance period, the abnormal type, etc.

[0036] Reference Figure 4 This is a flowchart illustrating the optical signal-to-noise ratio (OSNR) monitoring method proposed in this application, with reference to... Figure 4 As shown, an optical signal-to-noise ratio (OSNR) monitoring method according to an embodiment of this application is applied to an OSNR monitoring system. The OSNR monitoring system includes a control unit 100 and multiple OSNR monitoring units 200 distributed in an optical transport network (OTN). Each OSNR monitoring unit 200 is correspondingly located at the output end of an optical amplification unit 310 in the OTN. The method includes: In 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; In step S200, each OSNR monitoring unit 200 determines the corresponding channel OSNR based on the output channel optical power. In step S300, the control unit 100 monitors the OSNR of the OTN according to the channel OSNR of each OSNR monitoring unit 200.

[0037] 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 based on the output channel optical power of the monitored specific wavelength, the OSNR monitoring units 200 are independent of each other, 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 monitoring efficiency. Simultaneously, by setting a management and control unit 100 to uniformly manage the OSNR of multiple OSNR monitoring units 200 in the OTN, maintainability is improved, and dependence on the external environment is reduced, enabling monitoring of OSNR at any location in the entire OTN. Furthermore, the processing efficiency of the management and control unit 100 is less correlated with the complexity of the optical network and the number of OSNR monitoring units 200. Therefore, compared with related technologies, the embodiments of this application can improve the reliability, hardware integration, monitoring range, monitoring efficiency, and maintainability of OSNR monitoring.

[0038] 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 based on the output channel optical power. Therefore, each OSNR monitoring unit 200 is independent of the others and has no external dependency, allowing all OSNR monitoring units 200 in the entire OTN to operate efficiently in parallel. Furthermore, for the upper-layer management unit 100, regardless of the type of OSNR it needs to query, it only needs to query the associated device-side OSNR monitoring unit 200. Therefore, the OSNR monitoring efficiency of the entire OTN is only related to the interaction time between the management unit 100 and a single OSNR monitoring unit 200, and is independent of the complexity of the optical network and the number of OSNR monitoring units 200.

[0039] It should be noted that in some embodiments, the optical signal-to-noise ratio (OSNR) monitoring method of this application is based on tuning technology; therefore, referring to... Figure 2 As shown, the optical power detection module 210 can reuse the existing top-tuning detection module to synchronously acquire the optical channel optical power when performing wavelength tag detection, thus eliminating the need for additional OCM module deployment, resulting in high integration and good real-time performance.

[0040] Understandably, the OSNR monitoring unit 200 determines the output channel optical power of the corresponding optical amplification unit 310, including: Obtain the tuning signal output by the corresponding optical amplification unit 310; The wavelength value of a specific wavelength is determined based on the frequency of the modulation signal and the wavelength indication information in the overhead of the modulation signal; The output channel optical power corresponding to the wavelength value is determined based on the amplitude of the tuning signal.

[0041] It should be noted that the modulation signal is obtained by processing a specific wavelength based on modulation technology. The output channel optical power is detected by using the frequency of the modulation signal and the wavelength indication information in the overhead of the modulation signal. The detected output channel optical power is then transmitted to the OSNR calculation module 220. After obtaining the output channel optical power detected by modulation, the OSNR calculation module 220, combined with the current settings and performance information of the optical amplification unit 310 and the pre-calibrated noise figure, can calculate the channel OSNR for each wavelength passing through the optical amplification unit. The calculation result is then transmitted to the OSNR performance management unit 230, which finally reports the OSNR performance to the control system.

[0042] It should be noted that the conversion formula for the channel optical power at a specified wavelength is as follows (in dB): ; in, The output channel optical power is at wavelength λ (i.e., a specific wavelength). The amplitude of the modulation peak (i.e., the frequency of the modulation peak signal) corresponding to the detected wavelength λ. These are pre-calibrated power bias parameters.

[0043] Understandably, the OSNR monitoring unit 200 determines the corresponding channel OSNR based on the output channel optical power, including: The gain spectrum and noise figure spectrum of the optical amplifier unit 310 are determined based on the optical power of the output channel. Determine the input channel optical power based on the output channel optical power and gain spectrum; The corresponding channel OSNR is determined based on the noise figure spectrum and the input channel optical power.

[0044] It should be noted that the output channel optical power is assumed to be... The gain spectrum is The input channel optical power is as follows: .

[0045] It should be noted that the calculation of channel OSNR relies on existing OA noise analysis models, which can calculate the noise figure spectrum. and gain spectrum At this point, the various channels can be obtained. as follows: ; in, This is Planck's constant, with units of mJ·s. wavelength The corresponding frequency, in Hz. The OSNR reference bandwidth is 0.1nm, and the unit needs to be converted to Hz. and This can be determined using the noise analysis model described above.

[0046] Understandably, determining the gain spectrum corresponding to the optical amplification unit 310 includes: Based on the preset first mapping relationship between the gain spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplification unit 310, the gain spectrum corresponding to the optical amplification unit 310 is determined.

[0047] It should be noted that the first mapping relationship is as follows: ; in, For output channel optical power, For the total input power, To output total power, For gain slope, For gain; This is the gain spectrum.

[0048] Understandably, determining the noise figure spectrum corresponding to the optical amplification unit 310 includes: Based on the preset second mapping relationship between the noise figure spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplifier unit 310, the noise figure spectrum corresponding to the optical amplifier unit 310 is determined.

[0049] It should be noted that the second mapping relationship is as follows: .

[0050] in, For output channel optical power, For the total input power, To output total power, For gain slope, For gain; This is the noise figure spectrum.

[0051] Understandably, the corresponding channel OSNR is determined based on the noise figure spectrum and the input channel optical power, including: The first parameter is determined based on Planck's constant, the frequency corresponding to a specific wavelength, and the OSNR reference bandwidth. The corresponding channel OSNR is determined based on the noise figure spectrum, input channel optical power, and the first parameter.

[0052] Therefore, by pre-calibrating the gain spectrum of the OA under different operating conditions... and noise figure spectrum And based on the actual detected optical power of the OA output channel Total power at input and output terminals ( , ) and the gain slope currently set in OA Gain Under the same working conditions, the gain spectrum of the OA under the current working conditions can be obtained. Noise figure spectrum and input channel optical power The specific calculation formula (in dB units) is as follows: ; ; ; in, Actual gain spectrum of OA With known output power Total input and output power ( , ) and the gain slope currently set in OA Gain Relationship functions The actual noise figure spectrum of OA Compared with the known output power spectrum Total input and output power ( , ) and the gain slope currently set in OA Gain The relationship function between them can be obtained by pre-calibration, such as by using a lookup table or a neural network. You can get each channel as follows: .

[0053] Understandably, the OTN includes an optical transport section (OTS), an optical multiplexing section (OMS), and an optical path layer (OCh). Multiple OSNR monitoring units 200 include a first OSNR monitoring unit located in the OTS, a second OSNR monitoring unit located in the OMS, and a third OSNR monitoring unit located in the OCh. The control unit 100 monitors the OSNR of the OTN based on the channel OSNR of each OSNR monitoring unit 200, including at least one of the following: The control unit 100 monitors and obtains the channel OSNR from all the first OSNR monitoring units, accumulates the OSNR of all channels, and obtains the OSNR of the OTS. The control unit 100 obtains the channel OSNR from all the second OSNR monitoring units, accumulates the OSNR of all channels, and obtains the OSNR of the OMS. The control unit 100 obtains the channel OSNR from all third OSNR monitoring units, accumulates the OSNR of all channels, and obtains the OSNR of OCh.

[0054] For example, taking the OSNR query of an OTS segment as an example, the control unit 100 initiates an OSNR query for an OTS segment. First, it will associate the OTS segment with the corresponding OA, and then query the OSNR of all OAs within the OTS segment by the OSNR monitoring units 200 (e.g., Figure 1 As shown, it will associate OSNR monitoring unit 5 and OSNR monitoring unit 6 to obtain the channel OSNR of each OA and accumulate the OSNR of all channels to obtain the OSNR of OTS.

[0055] For example, taking the OSNR query of an OMS segment as an example, the control unit 100 initiates an OSNR query for an OMS segment. First, it will associate the OMS segment with the corresponding OA, and then query the OSNR of all OAs within the OMS segment by the OSNR monitoring units 200 (e.g., Figure 1 As shown, it will associate OSNR monitoring units 3 to 8 to obtain the channel OSNR of each OA and accumulate the OSNR of all channels to obtain the OSNR of OMS.

[0056] For example, taking the OSNR query of the OCh channel as an example, the control unit 100 initiates the OSNR query of the OCh channel. First, it will associate with all OAs on the OCh channel path, and then query the OSNR of all OAs on the OCh channel path OSNR to obtain the channel OSNR of each OA and accumulate all channel OSNRs to obtain the OSNR of OCh.

[0057] Understandably, the method also includes: Each OSNR monitoring unit 200 stores the channel OSNR; Each OSNR monitoring unit 200 feeds back its stored OSNR to the control unit 100.

[0058] Understandably, the method also includes: Each OSNR monitoring unit 200 receives OSNR performance alarm parameters; Each OSNR monitoring unit 200 sends an alarm to the control unit 100 when the alarm conditions are met based on the channel OSNR and OSNR performance alarm parameters. The performance alarm parameters include at least one of the following: high OSNR threshold, low OSNR threshold, OSNR flatness threshold, and OSNR fluctuation threshold.

[0059] It should be noted that the high OSNR threshold, low OSNR threshold, OSNR flatness threshold, and OSNR fluctuation threshold can be selectively set according to actual needs. This application embodiment does not impose any restrictions on how these values ​​are set. In some embodiments, the high OSNR threshold, low OSNR threshold, OSNR flatness threshold, and OSNR fluctuation threshold can be modified through an interface or configuration file, or fixed values ​​can be set directly in the program. This application embodiment does not restrict the setting method.

[0060] It should be noted that the OSNR flatness threshold is used to characterize the changing trend of OSNR among multiple channels under the same OA, while the OSNR fluctuation threshold is used to characterize the changing trend of OSNR of the same channel at different times.

[0061] It should be noted that performance alarm parameters include real-time performance parameters and historical performance parameters.

[0062] For real-time performance parameters, for example, refer to Figure 2 As shown, taking optical signal transmission using modulation technology and OSNR lookup in the OMS segment as an example, it includes: 1) Within the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates an OSNR performance acquisition request. At this time, the top-level 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. 2) The OSNR performance management unit 230 of each OA will feed back the OSNR result calculated in real time to the control unit 100, and finally the control unit 100 will calculate the OSNR of the OTS segment according to the aforementioned accumulation formula.

[0063] For real-time performance parameters, for example, taking the OMS segment OSNR query as an example, it includes: 1) Within the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates an OSNR performance acquisition request. At this time, the top-level 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. 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. Finally, the control unit 100 calculates the OSNR of the OMS segment according to the aforementioned accumulation formula.

[0064] For real-time performance parameters, for example, refer to Figure 2 As shown, assuming optical signals are transmitted using modulation techniques, taking OCh channel OSNR lookup as an example, it includes: 1) Within the OSNR monitoring unit 200 of each OA, the OSNR performance management unit 230 initiates an OSNR performance acquisition request. At this time, the top-level 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. 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. Finally, the control unit 100 calculates the OSNR of the OCh channel according to the aforementioned accumulation formula.

[0065] For historical performance parameters, for example, taking the historical OSNR performance query of OTS / OMS / OCh as an example, we have: 1) The OSNR monitoring unit 200 of each OA in the optical network spontaneously collects the instantaneous OSNR of all channels, calculates the maximum, minimum and average OSNR of each channel within a set time and stores them in the OSNR performance management unit 230. 2) When the control initiates a historical OSNR query for OTS / OMS / OCh, it will first associate it with all OAs corresponding to the OTS / OMS / OCh, and then query the historical OSNR performance of all related OAs' OSNR monitoring units 200. 3) Within each OA's OSNR monitoring unit 200, the OSNR performance management unit 230 will feed back the stored historical OSNR performance data to the control unit 100. 4) Control the historical OSNR performance of OTS / OMS / OCh calculated according to the aforementioned cumulative formula.

[0066] For performance alarm parameters, taking OSNR performance alarms as an example, we have: 1) The management unit 100 or external users configure OSNR performance alarm parameters, including high OSNR threshold, low OSNR threshold, OSNR flatness threshold, OSNR fluctuation threshold, etc. 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, a high threshold alarm is reported. When the instantaneous OSNR exceeds the low OSNR threshold, a low threshold alarm is reported. When the OSNR flatness of all channels exceeds the OSNR flatness threshold, an OSNR flatness over-limit alarm is reported. When the difference between the current OSNR value and the previous OSNR value exceeds the OSNR fluctuation threshold, an OSNR fluctuation over-limit alarm is reported.

[0067] It should be noted that the OTN in this application can be any wavelength division multiplexing network. Therefore, the optical signal-to-noise ratio (OSNR) monitoring method provided in this 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 this application can be deployed in any wavelength division multiplexing network as a deployment and implementation strategy for an online OSNR monitoring system.

[0068] It should be noted that the optical signal-to-noise ratio (OSNR) monitoring method and system of this application can be applied to the online operation and maintenance phase of wavelength division multiplexing (WDM) networks, enabling intelligent operation of the optical layer.

[0069] Understandably, referring to Figure 5 , Figure 5 This illustration shows a partial hardware structure of an optical signal-to-noise ratio (OSNR) monitoring system according to another embodiment. The OSNR monitoring system provided in this application includes: Multiple processors 501; Multiple memories 502 are used to store computer-executable programs; When a computer executable program is executed by multiple processors 501, it implements an optical signal-to-noise ratio (OSNR) monitoring method as described above.

[0070] Memory 502, as a non-transitory network system, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 502 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 502 may optionally include memory remotely located relative to processor 501, and these remote memories can be connected to processor 501 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0071] The processor 501 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, 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 this application. The memory 502 can be implemented as a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 502 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 502 and is called and executed by the processor 501. In some embodiments, the optical signal-to-noise ratio (OSNR) monitoring system further includes: Input / output interfaces are used to implement information input and output; The communication interface is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). The bus transmits information between various components of the device (such as processor 501, memory 502, input / output interfaces, and communication interfaces); The processor 501, memory 502, input / output interface, and communication interface can communicate with each other within the device via a bus.

[0072] It is understood that, according to the computer-readable storage medium provided in this application, a processor-executable program is stored in the computer-readable storage medium, and when executed by a processor, the processor-executable program is used to implement the optical signal-to-noise ratio (OSNR) monitoring method as described above.

[0073] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

Claims

1. An optical signal-to-noise ratio (OSNR) monitoring method, applied to an OSNR monitoring system, the OSNR monitoring system comprising a control unit and multiple OSNR monitoring units distributed in an optical transport network (OTN), each OSNR monitoring unit being correspondingly located at the output end of an optical amplification unit in the OTN, the method comprising: Each of the OSNR monitoring units determines the output channel optical power of the corresponding optical amplification unit, wherein the output channel optical power corresponds to a specific wavelength; Each OSNR monitoring unit determines the corresponding channel OSNR based on the output channel optical power, including: determining the gain spectrum corresponding to the optical amplification unit based on a first mapping relationship between a preset gain spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplification unit; determining the noise figure spectrum corresponding to the optical amplification unit based on a second mapping relationship between a preset noise figure spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplification unit; determining the input channel optical power based on the output channel optical power and the gain spectrum; and determining the corresponding channel OSNR based on the noise figure spectrum and the input channel optical power. The control unit monitors the OSNR of the OTN based on 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 optical power of the corresponding output channel of the optical amplification unit, including: Obtain the corresponding tuning signal output by the optical amplification unit; The wavelength value of the specific wavelength is determined based on the frequency of the tuning signal and the wavelength indication information in the overhead of the tuning signal; The output channel optical power corresponding to the wavelength value is determined based on the amplitude of the tuning signal.

3. The method according to claim 2, characterized in that, The step of determining the corresponding channel OSNR based on the noise figure spectrum and the input channel optical power includes: The first parameter is determined based on Planck's constant, the frequency corresponding to the specific wavelength, and the OSNR reference bandwidth. The corresponding channel OSNR is determined based on the noise figure spectrum, the input channel optical power, and the first parameter.

4. The method according to claim 1, characterized in that, The OTN includes an optical transport section (OTS), an optical multiplexing section (OMS), and an optical path layer (OCh). The plurality of OSNR monitoring units include a first OSNR monitoring unit located in the OTS, a second OSNR monitoring unit located in the OMS, and a third OSNR monitoring unit located in the OCH. The control unit monitors the OSNR of the OTN based on the channel OSNR of each of the OSNR monitoring units, including at least one of the following: The control unit obtains the channel OSNR from all the first OSNR monitoring units, accumulates all the channel OSNRs, and obtains 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, accumulates all the channel OSNRs, and obtains the OSNR of OCh.

5. The method according to claim 4, characterized in that, The method further includes: Each of the OSNR monitoring units stores the channel OSNR; Each OSNR monitoring unit feeds back the OSNR it stores to the control unit.

6. The method according to claim 5, characterized in that, The method further includes: Each of the OSNR monitoring units receives OSNR performance alarm parameters; Each of the OSNR monitoring units sends an alarm to the control unit when it determines that the alarm conditions have been met based on the channel OSNR and the OSNR performance alarm parameters. The performance alarm parameters include at least one of the following: high OSNR threshold, low OSNR threshold, OSNR flatness threshold, and OSNR fluctuation threshold.

7. An optical signal-to-noise ratio (OSNR) monitoring system, the OSNR monitoring system comprising a control unit and multiple OSNR monitoring units distributed in an optical transport network (OTN), each OSNR monitoring unit being correspondingly located at the 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 amplification unit, wherein the output channel optical power corresponds to a specific wavelength; The OSNR calculation module determines the corresponding channel OSNR based on the output channel optical power, including: determining the gain spectrum corresponding to the optical amplification unit based on a first mapping relationship between a preset gain spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplification unit; determining the noise figure spectrum corresponding to the optical amplification unit based on a second mapping relationship between a preset noise figure spectrum and the output channel optical power, total input power, total output power, gain slope, and gain of the optical amplification unit; determining the input channel optical power based on the output channel optical power and the gain spectrum; and determining the corresponding channel OSNR based on the noise figure spectrum and the input channel optical power. The control unit is used to monitor the OSNR of the OTN based on the channel OSNR of each of the OSNR monitoring units.

8. The OSNR monitoring system according to claim 7, characterized in that, The optical power detection module is specifically used for: Obtain the corresponding tuning signal output by the optical amplification unit; The wavelength value of the specific wavelength is determined based on the frequency of the tuning signal; The output channel optical power corresponding to the wavelength value is determined based on the amplitude of the tuning signal.

9. The OSNR monitoring system according to claim 8, characterized in that, The OTN includes an optical transmission section (OTS), an optical multiplexing section (OMS), and an optical path layer (OCh). The plurality of OSNR monitoring units include a first OSNR monitoring unit disposed in the OTS, a second OSNR monitoring unit disposed in the OMS, and a third OSNR monitoring unit disposed in the OCH. The control unit is specifically used for: The channel OSNR is acquired from all the first OSNR monitoring units, and the OSNR of all the channels is accumulated to obtain the OSNR of the OTS; and... The channel OSNR is obtained from all the second OSNR monitoring units, and the OSNR of all the channels is accumulated to obtain the OSNR of the OMS; as well as, The OSNR of the channel is obtained from all the third OSNR monitoring units, and the OSNR of all the channels is accumulated to obtain the OSNR of OCh.

10. The OSNR monitoring system according to claim 9, characterized in that, The OSNR monitoring unit further includes an OSNR performance management unit, which is used for: The channel OSNR is stored, and the stored OSNR is fed back to the control unit.

11. The OSNR monitoring system according to claim 10, characterized in that, The OSNR performance management unit is also used for: The system receives OSNR performance alarm parameters and, if the alarm conditions are met based on the channel OSNR and the OSNR performance alarm parameters, sends an alarm to the control unit.

12. An optical signal-to-noise ratio (OSNR) monitoring system, comprising: Multiple processors; Multiple storage devices are used to store computer-executable programs; When the computer executable program is executed by any of the processors, it implements the optical signal-to-noise ratio (OSNR) monitoring method as described in any one of claims 1 to 6.

13. A computer-readable storage medium storing a processor-executable program, which, when executed by a processor, is used to implement the optical signal-to-noise ratio (OSNR) monitoring method as described in any one of claims 1 to 6.

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