Optical line protection method and device based on C+L 400G transmission network

Abstract

The present invention discloses an optical line protection method and device based on a C+L 400G transmission network, which relates to the field of communication transmission technology. The method includes: performing minimum intrusion routing splitting on an optical transmission line according to an optical splitter to obtain a first split signal set; performing splitting scene interference compensation on the first split signal set based on a splitting scene factor to obtain a second split signal set; performing sampling intensity adaptive tuning on the second split signal set to obtain a third split signal set; inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy; performing routing switching on the optical transmission line according to the optical line protection strategy, and outputting a routing restoration signal based on the original routing stability evaluation result. This achieves the technical effects of shortening switching time, improving effectiveness, and enhancing transmission stability.

Description

Technical Field

[0001] The present invention relates to the field of communication transmission technology, and in particular to an optical line protection method and device based on a C+L 400G transmission network. Background Art

[0002] Existing optical line protection devices are primarily used for line protection in C-band systems. Their operating principle is that when a pair of active optical fibers on an optical transmission line is accidentally broken or the loss increases, they can automatically switch the optical transmission line from the primary route to the backup route in a short period of time. The degradation of the primary line is usually determined by optical power or line loss.

[0003] When this existing optical line protection device is used in a C+L 400G system, it may result in excessively long switching times, failing to meet the system's high requirements for fast switching. Alternatively, it may not switch when signal quality degrades, impacting the performance and stability of the entire optical transmission network. Summary of the Invention

[0004] The present invention provides an optical line protection method and device based on a C+L 400G transmission network to solve the technical problems in the prior art such as long switching time, switching failure, and impact on transmission stability, thereby achieving the technical effects of shortening switching time, improving effectiveness, and enhancing transmission stability.

[0005] In a first aspect, the present invention provides an optical line protection method based on a C+L 400G transmission network, wherein the optical line protection method based on the C+L 400G transmission network includes:

[0006] Minimum intrusion routing splitting is performed on an optical transmission line of a C+L 400G transmission network according to an optical splitter to obtain a first split signal set, which includes a first split signal group and a second split signal group.

[0007] The first split signal set is subjected to split scene interference compensation based on the split scene factor to obtain a second split signal set.

[0008] Adaptively adjust the sampling intensity of the second split signal set to obtain a third split signal set.

[0009] The third split optical signal set is input into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and the routing protection fuzzy strategy is subjected to disturbance prediction optimization to obtain an optical line protection strategy.

[0010] The optical transmission line is route-switched according to the optical line protection strategy, and a route restoration signal is output according to the original route stability evaluation result.

[0011] In a feasible implementation, performing minimally intrusive routing splitting on an optical transmission line of a C+L 400G transmission network using an optical splitter to obtain a first split signal set includes:

[0012] A working route of the optical transmission line is obtained, where the working route includes a main transmitting route and a main receiving route.

[0013] Based on a predetermined splitting ratio, the optical splitter performs minimum-intrusion splitting on the main transmission route to obtain the first split signal group.

[0014] Based on the predetermined splitting ratio, the optical splitter performs minimum intrusion splitting on the main route to obtain the second split signal group, which is combined with the first split signal group to generate the first split signal set.

[0015] In a feasible implementation, performing spectral scene interference compensation on the first spectral signal set based on the spectral scene factor to obtain the second spectral signal set includes:

[0016] The light splitting scene factor includes the light splitter state and the light splitting environment.

[0017] Based on the spectroscopic scene factor, spectroscopic scene parameters are collected for the first spectroscopic signal group and the second spectroscopic signal group respectively to obtain a first spectroscopic scene data set and a second spectroscopic scene data set.

[0018] The first split signal group is subjected to split scene interference compensation according to the first split scene data set to obtain a third split signal group.

[0019] The second split signal group is subjected to split scene interference compensation according to the second split scene data set to obtain a fourth split signal group, which is combined with the third split signal group to generate the second split signal set.

[0020] In a feasible implementation, performing spectroscopic scene interference compensation on the first spectroscopic scene signal group according to the first spectroscopic scene data set to obtain a third spectroscopic signal group includes:

[0021] According to the first optical splitting scene data set, first signal optical splitting scene data corresponding to a first optical splitting signal is extracted, where the first optical splitting signal includes any optical splitting signal in the first optical splitting signal group.

[0022] Anomaly detection is performed based on the first signal spectroscopic scene data to obtain a first spectroscopic scene anomaly detection result.

[0023] Interference analysis is performed on the first optical splitting signal according to the first optical splitting scene abnormality detection result to obtain first scene abnormal optical splitting interference.

[0024] Adaptively compensate the first optical splitting signal according to the abnormal optical splitting interference of the first scene to obtain a first optical splitting optimization signal, and add the first optical splitting optimization signal to the third optical splitting signal group.

[0025] In a feasible implementation, performing adaptive tuning of the sampling intensity of the second split signal set to obtain the third split signal set includes:

[0026] Perform intensity detection on the third split signal group to obtain the intensity of each signal.

[0027] If any signal strength among the signal strengths is less than a predetermined signal strength, a signal strength difference vector is constructed.

[0028] The sampling intensity of the third optical split signal group is optimized based on the signal intensity difference vector to obtain a fifth optical split signal group.

[0029] Adaptively adjust the sampling intensity of the fourth split signal group according to the predetermined signal intensity to obtain a sixth split signal group, and add the fifth split signal group and the sixth split signal group to the third split signal set.

[0030] In a feasible implementation, inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy includes:

[0031] A normal split signal sample search is performed on the main transmission route to obtain a first split signal sample set, and a central trend analysis is performed on the first split signal sample set to obtain a first reference split signal.

[0032] Deviation identification is performed on the fifth optical split signal group according to the first reference optical split signal to obtain a first sequence of optical split signal deviations.

[0033] The optical split signal deviates from the first sequence and is input into the routing signal quality detection model to obtain a first routing signal quality coefficient.

[0034] It is determined whether the first routing signal quality coefficient is less than a routing signal quality threshold.

[0035] If the first routing signal quality coefficient is less than the routing signal quality threshold, a first routing fuzzy switching strategy is obtained, and the first routing fuzzy switching strategy is added to the routing protection fuzzy strategy.

[0036] In a feasible implementation, inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy includes:

[0037] A normal split signal sample search is performed on the main route to obtain a second split signal sample set, and a central trend analysis is performed on the second split signal sample set to obtain a second reference split signal.

[0038] Deviation identification is performed on the sixth optical split signal group according to the second reference optical split signal to obtain a second sequence of optical split signal deviations.

[0039] The split signal deviates from the second sequence and is input into the routing signal quality detection model to obtain a second routing signal quality coefficient.

[0040] If the second routing signal quality coefficient is less than the routing signal quality threshold, a second routing fuzzy switching strategy is obtained, and the second routing fuzzy switching strategy is added to the routing protection fuzzy strategy.

[0041] In a feasible implementation, performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy includes:

[0042] The C+L 400G transmission network is subjected to disturbance prediction according to the routing protection fuzzy strategy to obtain an optical network disturbance prediction result.

[0043] A risk assessment is performed based on the optical network disturbance prediction result to obtain an optical network disturbance risk assessment result.

[0044] The optical network disturbance prediction result is cleaned according to the optical network disturbance risk assessment result to obtain an optical network risk disturbance feature.

[0045] The routing protection fuzzy strategy is optimized according to the optical network risk disturbance characteristics to generate the optical line protection strategy.

[0046] In a feasible implementation, outputting a route restoration signal according to the original route stability evaluation result includes:

[0047] The original route is determined according to the optical line protection strategy.

[0048] When the original route returns to normal, the original route is monitored in real time to obtain original route monitoring data.

[0049] A state stability evaluation is performed based on the original route monitoring data to obtain the original route stability evaluation result.

[0050] If the original route stability evaluation result satisfies the state stability constraint, the route restoration signal is generated.

[0051] In a second aspect, the present invention further provides an optical line protection device based on a C+L 400G transmission network, wherein the optical line protection device based on the C+L 400G transmission network includes:

[0052] The optical splitting signal acquisition module is used to perform minimum intrusion routing splitting on the optical transmission line of the C+L 400G transmission network according to the optical splitter to obtain a first optical splitting signal set, wherein the first optical splitting signal set includes a first optical splitting signal group and a second optical splitting signal group.

[0053] The optical splitting scene interference compensation module is configured to perform optical splitting scene interference compensation on the first optical splitting signal set based on the optical splitting scene factor to obtain a second optical splitting signal set.

[0054] The sampling intensity adaptive tuning module is configured to perform sampling intensity adaptive tuning on the second split optical signal set to obtain a third split optical signal set.

[0055] The routing protection strategy generation module is used to input the third split optical signal set into the routing signal quality detection model to obtain a routing protection fuzzy strategy, and perform disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy.

[0056] The route switching and restoration signal output module is used to perform route switching on the optical transmission line according to the optical line protection strategy and output a route restoration signal according to the original route stability evaluation result.

[0057] The present invention discloses an optical line protection method and device based on a C+L 400G transmission network, comprising: performing minimally invasive routing splitting on an optical transmission line in a C+L band 400G transmission network according to an optical splitter, extracting a first split signal set, the first split signal set including a first split signal group and a second split signal group; performing scene interference compensation processing on the first split signal set according to a splitting scene factor to generate a second split signal set; performing adaptive optimization of the sampling intensity of the second split signal set to obtain a third split signal set; inputting the third split signal set into a routing signal quality detection model, outputting a routing protection fuzzy strategy, and performing disturbance prediction and optimization on the fuzzy strategy to form an optical line protection strategy; based on the optical line protection strategy, implementing routing switching on the optical transmission line, and generating a routing restoration signal according to a stability evaluation result of the original route. The optical line protection method and device based on a C+L 400G transmission network disclosed in the present invention solve the technical problems of excessive switching time, switching failure, and affecting transmission stability, and achieve the technical effects of shortening switching time, improving effectiveness, and enhancing transmission stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The figure is a flow chart of the optical line protection method based on the C+L 400G transmission network of the present invention.

[0059] Figure 2This is an exemplary C+L 400G transmission network in the optical line protection method based on the C+L 400G transmission network of the present invention.

[0060] Figure 3 This is a structural diagram of the optical line protection device based on the C+L 400G transmission network of the present invention.

[0061] Explanation of the accompanying drawings: spectroscopic signal acquisition module 11, spectroscopic scene interference compensation module 12, sampling intensity adaptive tuning module 13, route protection strategy generation module 14, route switching and restoration signal output module 15, spectrometer 1, spectrometer 2, spectrometer 4, spectrometer 5, switching unit 6, switching unit 8, non-working route monitoring unit 3, signal quality analysis and control unit 7. DETAILED DESCRIPTION

[0062] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention, rather than all, are shown in the drawings.

[0063] Example 1, as Figure 1 The present invention is a flow chart of an optical line protection method based on a C+L 400G transmission network, wherein the optical line protection method based on a C+L 400G transmission network includes:

[0064] S100: Perform minimum intrusion routing splitting on an optical transmission line of a C+L 400G transmission network according to an optical splitter to obtain a first split signal set, where the first split signal set includes a first split signal group and a second split signal group.

[0065] Specifically, such as Figure 2 As shown in the figure, the C+L 400G transmission network includes four optical splitters (i.e., signal coupling units), corresponding to the main transmission route 1, backup transmission route 2, backup connection route 4, and main connection route 5. The optical splitters are used to split the optical signals in the optical transmission line according to a predetermined ratio and extract a small part of the optical signal (i.e., the first split signal set) for monitoring and analysis, which is called minimum intrusion routing splitting.

[0066] Specifically, the first optical splitting signal set includes two groups of optical signals, namely the first optical splitting signal group and the second optical splitting signal group, which correspond to the optical splitting signals in different directions or different routes in the optical transmission line (such as the main transmission route and the main connection route, respectively), providing basic data for subsequent signal processing and the formulation of protection strategies.

[0067] By using the optical splitter for minimally intrusive routing, the optical signal can be obtained for subsequent processing and analysis without affecting the normal operation of the main transmission line.

[0068] In some embodiments, performing minimally intrusive routing splitting on an optical transmission line of a C+L 400G transmission network using an optical splitter to obtain a first split signal set includes:

[0069] Obtain a working route of the optical transmission line, the working route comprising a primary transmission route and a primary connection route. Based on a predetermined splitting ratio, perform minimally intrusive splitting on the primary transmission route using the optical splitter to obtain the first split signal group. Based on the predetermined splitting ratio, perform minimally intrusive splitting on the primary connection route using the optical splitter to obtain the second split signal group, and combine the first split signal group with the first split signal group to generate the first split signal set.

[0070] Specifically, the primary transmission route corresponds to the transmission path of the main signal in the optical line from the transmitter to the receiver; the primary connection route corresponds to the reception path of the main signal at the receiver. The first and second split optical signal groups are the signals split from the primary transmission route and the primary connection route, respectively; the first split optical signal set is the signal set formed by combining the split optical signals from the primary transmission route and the primary connection route, which is used for subsequent analysis or protection.

[0071] Specifically, the predetermined splitting ratio is determined based on application practice or by professional technicians. The selection principle is to minimize insertion loss into the line while ensuring that the signal light can be detected. Preferably, 1% is selected.

[0072] For example, Figure 2 As shown, the signal quality analysis and control unit 7 controls the optical splitter 1 and the optical splitter 5 to perform 1% minimum intrusion splitting on the main transmission route and the main connection route respectively, and obtains a first split signal set consisting of a first split signal group and a second split signal group.

[0073] By obtaining the split optical signals of the primary transmitter and receiver through the above steps, the status of the optical transmission line can be comprehensively monitored, and potential problems can be detected promptly. The minimum intrusion method ensures that the split ratio can be flexibly set (e.g., 99:1), thereby minimizing the impact on the primary signal.

[0074] S200: Performing optical splitting scene interference compensation on the first optical splitting signal set based on an optical splitting scene factor to obtain a second optical splitting signal set.

[0075] Specifically, the spectroscopic scene factor refers to a collection of various factors that affect the quality of the spectroscopic signal, including the spectrometer status (such as the aging degree and fault status of the spectrometer) and the spectroscopic environment (such as temperature, humidity, dust and other external environmental factors).

[0076] Specifically, the spectral scene interference compensation is a technical means of adjusting the spectral signal by analyzing the above-mentioned spectral scene factors to offset or reduce the influence of interference. The second spectral signal set refers to the spectral signal set obtained after compensation processing that is closer to the actual signal state.

[0077] In some embodiments, performing splitting scene interference compensation on the first splitting signal set based on the splitting scene factor to obtain the second splitting signal set includes:

[0078] The spectroscopic scene factor includes the spectrometer state and the spectroscopic environment. Based on the spectroscopic scene factor, spectroscopic scene parameters are collected for the first and second spectroscopic scene signal groups, respectively, to obtain a first spectroscopic scene dataset and a second spectroscopic scene dataset. Spectroscopic scene interference compensation is performed on the first spectroscopic signal group based on the first spectroscopic scene dataset to obtain a third spectroscopic signal group. Spectroscopic scene interference compensation is performed on the second spectroscopic signal group based on the second spectroscopic scene dataset to obtain a fourth spectroscopic signal group. The second spectroscopic signal set is generated by combining the third spectroscopic signal group with the first spectroscopic signal group.

[0079] Specifically, first, based on the spectroscopic scene factors (including the spectroscopic scene status and the spectroscopic environment), the spectroscopic scene parameters of the first spectroscopic signal group and the second spectroscopic signal group are collected respectively to obtain the first spectroscopic scene data set (corresponding to the main transmitter) and the second spectroscopic scene data set (corresponding to the main connection); wherein, the collected spectroscopic scene factor data include: the working status of the spectrometer (such as insertion loss, temperature); environmental parameters (such as computer room temperature, humidity, and power status).

[0080] Then, based on the first and second spectroscopic scene data sets, the first and second spectroscopic scene interference compensations are performed on the first and second spectroscopic signal groups respectively using a modeling or table lookup method (such as an insertion loss correction curve and a temperature drift model) to obtain a third and fourth spectroscopic signal groups, and combine them into a second spectroscopic signal set.

[0081] Through the above process, the authenticity and accuracy of the split signal can be improved, and errors caused by the external environment or device aging can be effectively eliminated, making the assessment of signal quality in subsequent steps more accurate, avoiding false triggering of protection switching, and thus adapting to more complex scenarios.

[0082] In some implementations, performing spectroscopic scene interference compensation on the first spectroscopic scene signal group according to the first spectroscopic scene data set to obtain a third spectroscopic signal group includes:

[0083] Extract first signal spectroscopic scene data corresponding to a first spectroscopic signal based on the first spectroscopic scene data set, where the first spectroscopic signal includes any spectroscopic signal within the first spectroscopic signal group. Perform anomaly detection based on the first signal spectroscopic scene data to obtain a first spectroscopic scene anomaly detection result. Perform interference analysis on the first spectroscopic signal based on the first spectroscopic scene anomaly detection result to obtain first-scene abnormal spectroscopic interference. Adaptively compensate the first spectroscopic signal based on the first-scene abnormal spectroscopic interference to obtain a first spectroscopic optimization signal, and add the first spectroscopic optimization signal to the third spectroscopic signal group.

[0084] Specifically, the first signal spectroscopic scene data is a subset of scene factor data corresponding to the first spectroscopic signal; and the first spectroscopic scene abnormality detection result is a structure for determining whether the signal has abnormal interference or offset through an algorithm.

[0085] Specifically, the first scenario abnormal spectroscopic interference is the interference feature (such as the direction and degree of power drift, wavelength shift caused by temperature, etc.) extracted from the abnormality detection.

[0086] Specifically, first, the spectrometer status data (e.g., the channel's insertion loss and temperature drift coefficient) and environmental data (e.g., current temperature and humidity) corresponding to the signal are extracted from the first spectroscopic scene data set to obtain the first signal spectroscopic scene data corresponding to the first spectroscopic signal. The first signal spectroscopic scene data is then analyzed to determine whether an anomaly (e.g., excessive temperature) exists, and the first spectroscopic scene anomaly detection result (e.g., "normal" or "abnormal + type") is obtained. Exemplary optional methods include: static judgment based on thresholds; dynamic offset analysis based on historical data; classification models based on machine learning (e.g., SVM, decision trees, etc.); and abnormal distribution detection based on statistical methods (e.g., Z-score, IQR, etc.).

[0087] Specifically, if an anomaly is detected, the interference type and magnitude are analyzed based on the detection results, such as changes in insertion loss caused by temperature or increased reflectivity due to device aging, to determine the abnormal optical interference in the first scenario. Furthermore, based on the interference characteristics, compensation calculations are performed using a model or table lookup to obtain the compensated first optical optimization signal.

[0088] Furthermore, each optimized first optical splitting optimized signal is sequentially added to the third optical splitting signal group until all first optical splitting signals are processed.

[0089] By independently processing each split signal through the above process, it helps to avoid the error caused by global average compensation and ensure the accuracy of the split signal in complex environments.

[0090] S300: Adaptively adjust the sampling intensity of the second split signal set to obtain a third split signal set.

[0091] In some embodiments, performing adaptive tuning of sampling intensity on the second split signal set to obtain a third split signal set includes:

[0092] Perform intensity detection on the third split signal group to obtain individual signal strengths. If any signal strength within the individual signal strengths is less than a predetermined signal strength, construct a signal strength difference vector. Optimize the sampling intensity of the third split signal group based on the signal strength difference vector to obtain a fifth split signal group. Adaptively optimize the sampling intensity of the fourth split signal group based on the predetermined signal strength to obtain a sixth split signal group. Add the fifth and sixth split signal groups to the third split signal set.

[0093] Specifically, the predetermined signal strength is a set lower threshold of the split signal strength, which is used to determine whether the signal is attenuated too much; the signal strength difference vector represents a set of differences between the current signal strength and the predetermined signal strength.

[0094] Specifically, the fifth optical split signal group is the result of sampling intensity optimization of the third optical split signal group; the sixth optical split signal group is the result of sampling intensity optimization of the fourth optical split signal group; the third optical split signal set is the final signal set after the fifth and sixth optical split signal groups are merged, which is used for subsequent line status analysis.

[0095] Specifically, the signal strengths of the first and second optimized split signals in the third split signal group are first obtained and compared with predetermined signal strengths. If any signal strength is lower than the predetermined strength, a corresponding signal strength difference vector is constructed, representing the strength deviation of each signal. Based on the difference vectors, optimization is then performed using one or a combination of the following methods to obtain the optimized fifth split signal group: dynamic gain adjustment (e.g., APD gain, EDFA preamplification); increasing the integration time; and reducing the sampling bandwidth to improve the SNR.

[0096] Furthermore, based on the predetermined signal strength, it is determined whether the fourth split signal group needs to be optimized; if necessary, compensation is performed in a similar manner to obtain the optimized sixth split signal group. It should be understood that for the sake of brevity, no further explanation is given here.

[0097] The above process helps to improve the detectability and accuracy of weak signals, avoid misjudgments or missed judgments due to insufficient sampling accuracy, and achieve adaptive compensation for different link losses and device aging, ensuring monitoring reliability in low signal-to-noise ratio scenarios.

[0098] S400: Inputting the third split optical signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy.

[0099] Specifically, the routing protection fuzzy strategy is a set of fuzzy strategies output based on the current signal quality assessment results, such as "the main route has high availability and the backup route has medium risk"; the optical line protection strategy is the decision-making instruction ultimately used for the optical network controller or optical cross-connect device, such as "switch to the backup route", "maintain the main route", "enter bypass monitoring", etc.

[0100] Exemplarily, the above steps are performed as follows Figure 2 The signal quality analysis and control unit 7 shown is implemented, in other words, the routing signal quality detection model and the protection fuzzy strategy are both set on the signal quality analysis and control unit 7.

[0101] In some embodiments, inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy includes:

[0102] Perform a normal optical splitting signal sample search on the main transmission route to obtain a first optical splitting signal sample set, and perform a central trend analysis on the first optical splitting signal sample set to obtain a first reference optical splitting signal. Perform deviation identification on the fifth optical splitting signal group based on the first reference optical splitting signal to obtain a first sequence of optical splitting signal deviations. Input the optical splitting signal deviations from the first sequence into the routing signal quality detection model to obtain a first routing signal quality coefficient. Determine whether the first routing signal quality coefficient is less than the routing signal quality threshold. If the first routing signal quality coefficient is less than the routing signal quality threshold, obtain a first routing fuzzy switching strategy, and add the first routing fuzzy switching strategy to the routing protection fuzzy strategy.

[0103] Specifically, the routing signal quality detection model is a data-driven model used to quantitatively analyze the transmission quality of optical signals. It can evaluate key indicators such as signal strength, signal-to-noise ratio, and bit error rate, providing data support for routing protection decisions.

[0104] Specifically, first, normal samples are retrieved to establish a benchmark: historical sample retrieval is performed on the main transmission route to obtain the split signal samples collected during the network stability period to form a first split signal sample set; a central trend analysis (such as mean, sliding median, weighted average, etc.) is performed on the sample set to obtain a first benchmark split signal, which reflects the typical state of the split signal.

[0105] Specifically, the currently collected fifth split optical signal group is then obtained and compared item by item with the first reference split optical signal to obtain a first sequence of split optical signal deviations. The deviation sequence is then input into a routing signal quality detection model to obtain a first routing signal quality coefficient, such as a score between 0 and 1. The signal quality detection model may be a rule-based weighted scoring model, a confidence interval detection model based on statistical inference, or a machine learning-based regression / classification model, including a complex mapping relationship between the split optical signal deviation sequence and the corresponding quality coefficient, for mapping the split optical signal deviation from the first sequence to the corresponding quantized first signal quality coefficient.

[0106] Furthermore, a routing signal quality threshold is set, and it is determined whether the first routing signal quality coefficient is less than the routing signal quality threshold. If it is less than the threshold, it can be considered that the quality of the main transmission route has declined and there may be a transmission risk. The number of times, combined with the preset switching rules or switching logic (such as table lookup), generates the first routing fuzzy switching strategy, for example: "delayed switching is recommended" (medium fuzziness level); if "immediate switching is recommended" (high fuzziness level); finally, the strategy is added to the current routing protection fuzzy strategy set for use by the subsequent disturbance prediction optimization module.

[0107] Through the above process, the following technical effects are achieved: the current signal changes are quantified through deviation analysis, thereby enhancing the accuracy of routing quality assessment; the fuzzy strategy avoids the shock caused by "hard switching" and improves the flexibility and intelligence of the switching strategy; at the same time, the threshold and policy level can be dynamically adjusted according to different network conditions, enhancing adaptability and portability.

[0108] In some embodiments, inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy includes:

[0109] Perform a normal optical split signal sample search on the primary route to obtain a second set of optical split signal samples, and perform a central tendency analysis on the second set of optical split signal samples to obtain a second reference optical split signal. Deviate from the sixth optical split signal group based on the second reference optical split signal to obtain a second sequence of optical split signal deviations. Input the second sequence of optical split signal deviations into the route signal quality detection model to obtain a second route signal quality coefficient. If the second route signal quality coefficient is less than a route signal quality threshold, obtain a second route fuzzy switching strategy, and add the second route fuzzy switching strategy to the route protection fuzzy strategy.

[0110] Furthermore, based on the same method principle as above for analyzing and processing the main transmission route and the fifth optical splitting signal group, a second optical splitting signal sample set corresponding to the sixth optical splitting signal group is collected, and corresponding trend analysis, deviation identification and signal quality detection are performed to obtain the corresponding second routing fuzzy switching strategy. It should be understood that for the sake of brevity of the specification, no further explanation will be given here.

[0111] In some embodiments, performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy includes:

[0112] A disturbance prediction is performed on the C+L 400G transmission network based on the routing protection fuzzy strategy to obtain an optical network disturbance prediction result. A risk assessment is performed based on the optical network disturbance prediction result to obtain an optical network disturbance risk assessment result. The optical network disturbance prediction result is cleaned based on the optical network disturbance risk assessment result to obtain an optical network risk disturbance characteristic. The routing protection fuzzy strategy is optimized based on the optical network risk disturbance characteristic to generate the optical line protection strategy.

[0113] Specifically, by analyzing fuzzy strategies and historical network status, we can predict possible future disturbance events and their impacts, and obtain optical network disturbance prediction results; among them, the optical network disturbance risk assessment results are risk level assessment results of the optical network disturbance prediction results, which are used to quantify the potential impact of the optical network disturbance prediction results on the transmission network.

[0114] Specifically, the optical network risk disturbance characteristics are high-risk disturbance patterns, trends or characteristic parameters extracted from the disturbance prediction results; the optical line protection strategy is the final protection strategy after optimization based on the disturbance risk characteristics, which usually includes instructions such as dynamic switching, bandwidth adjustment, and path reconstruction.

[0115] Specifically, first, the current set of routing protection fuzzy policies is input; then, based on historical disturbance data, network status logs, transmission performance indicators, etc., a disturbance prediction model (such as period fitting model, time series prediction, graph neural network, Bayesian network, etc.) is used to obtain the optical network disturbance prediction results within a certain time window in the future. For example, it is predicted that a certain node will experience performance fluctuations within 10 minutes, and the bit error rate of a certain link will rise to a critical value.

[0116] Specifically, the disturbance prediction results are then subjected to a multi-dimensional risk assessment, outputting an optical network disturbance risk assessment result. The assessment factors include: impact scope (link / node / service); impact level (minor / moderate / severe); and recoverability (instantaneous / persistent / irreversible). Low-risk, low-confidence disturbance prediction results are then denoised and filtered to extract highly reliable and strongly correlated disturbance patterns, forming an optical network risk disturbance signature. Exemplary signatures include: high-frequency disturbance paths, typical abnormal waveforms, and disturbance factors highly correlated with fuzzy strategies.

[0117] Furthermore, the risk disturbance characteristics are fed back to the fuzzy strategy, and the fuzzy strategy is optimized through adjustment, weighting, and fusion using a multi-level information fusion method (including feature-layer fusion and decision-layer fusion). The final optical line protection strategy is output. For example, if the quality of the primary transmission route degrades and a high-risk disturbance is predicted at node X, immediately switch to the backup route, delay switching to the primary route, and observe the next disturbance cycle.

[0118] Through the above process, not only the current signal quality is relied upon, but also future disturbance trends are integrated, which helps to improve the foresight and accuracy of the protection strategy and realize dynamic optimization of the strategy; a closed-loop mechanism from detection → prediction → optimization is formed, which enhances the system's intelligent adaptive capabilities.

[0119] S500: Perform route switching on the optical transmission line according to the optical line protection strategy, and output a route restoration signal according to the original route stability evaluation result.

[0120] Specifically, according to the optical line protection strategy, the current service is switched from the main route to the backup route. At the same time, the main transmission route or the main connection route is continuously monitored after the switch to determine whether it has recovered to a usable state; when the stability of the original route is restored, the route restoration signal is triggered to switch the service from the backup route back to the original main route.

[0121] For example, Figure 2As shown, by controlling the switching unit 6 and the switching unit 8, switching between the main transmission route and the backup route, and between the main connection route and the backup route can be realized respectively, and the control switching unit 6 and the switching unit 8 are both connected to the signal quality analysis and control unit 7, and the switching action is executed by receiving the optical line protection strategy or the control instruction corresponding to the optical line protection strategy from the signal quality analysis and control unit 7.

[0122] In some embodiments, outputting a route restoration signal according to the original route stability evaluation result includes:

[0123] Determine an original route based on the optical line protection strategy. When the original route returns to normal, monitor the original route in real time to obtain original route monitoring data. Perform a state stability evaluation based on the original route monitoring data to obtain an original route stability evaluation result. If the original route stability evaluation result satisfies a state stability constraint, generate the route restoration signal.

[0124] Specifically, the original route is the primary route (primary transmission / reception path) before the switchover. The original route monitoring data is the real-time performance data collected from the original route (such as bit error rate, optical power, and latency jitter). Based on this monitoring data, it is possible to assess whether the original route has recovered to a usable state and meets the switchback conditions, generating a stability evaluation result. State stability constraints are pre-set return thresholds, such as continuous stability time, bit error rate thresholds, and optical power fluctuation ranges.

[0125] Specifically, based on the currently implemented optical line protection strategy, the original main route (main transmission route and main connection route) to be switched offline is determined; when it is detected that the physical status of the original route link has recovered (such as link connectivity is restored, bit error rate decreases, etc.), the real-time monitoring mechanism of the original route is activated to collect monitoring data, such as optical signal power, BER (bit error rate), OSNR, CD, PMD, jitter, delay and other performance indicators.

[0126] Furthermore, the original route monitoring data is input into a state stability evaluation model. This model can make judgments based on rules, machine learning, or fuzzy logic, and output a numerical stability evaluation result for the original route. If the stability evaluation result meets preset state stability constraints, such as a bit error rate below 10−12 for 10 consecutive minutes, optical power fluctuations less than 1dB, and no frequent link jitter, a route reversion signal is generated, instructing the service to be switched back from the backup route to the original route.

[0127] Through the above process, an intelligent bidirectional switching mechanism between the protection path and the primary path is implemented. Among them, the intelligent restoration of the primary route helps to improve network resource utilization. At the same time, stability evaluation helps to avoid frequent switching caused by misjudgment of instantaneous recovery, ensuring the stability and reliability of the restoration path.

[0128] In summary, the optical line protection method based on the C+L 400G transmission network provided by the present invention has the following technical effects:

[0129] Minimally intrusive routing splitting is performed on the optical transmission line in the C+L band 400G transmission network through a splitter to extract a first split signal set, which includes a first split signal group and a second split signal group; based on the splitting scene factor, the first split signal set is subjected to scene interference compensation processing to generate a second split signal set; the sampling intensity of the second split signal set is adaptively optimized to obtain a third split signal set; the third split signal set is input into a routing signal quality detection model, a routing protection fuzzy strategy is output, and the fuzzy strategy is subjected to disturbance prediction and optimization to form an optical line protection strategy; based on the optical line protection strategy, routing switching is implemented on the optical transmission line, and a routing restoration signal is generated according to the stability evaluation result of the original route, thereby achieving the technical effects of shortening the switching time, improving the effectiveness, and enhancing the transmission stability.

[0130] Example 2, as Figure 3 This is a schematic diagram of the structure of the optical line protection device based on the C+L 400G transmission network of the present invention. For example, Figure 1 The flow chart of the optical line protection method based on C+L 400G transmission network of the present invention can be shown as follows: Figure 3 The structure shown is implemented.

[0131] Based on the same concept as the optical line protection method based on the C+L 400G transmission network in the above embodiment, the present invention also provides an optical line protection device based on the C+L 400G transmission network, including:

[0132] The optical splitting signal acquisition module 11 is used to perform minimum intrusion routing splitting on the optical transmission line of the C+L 400G transmission network according to the optical splitter to obtain a first optical splitting signal set, which includes a first optical splitting signal group and a second optical splitting signal group.

[0133] The optical splitting scene interference compensation module 12 is configured to perform optical splitting scene interference compensation on the first optical splitting signal set based on the optical splitting scene factor to obtain a second optical splitting signal set.

[0134] The sampling intensity adaptive tuning module 13 is configured to perform sampling intensity adaptive tuning on the second split optical signal set to obtain a third split optical signal set.

[0135] The routing protection strategy generating module 14 is configured to input the third split optical signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and perform disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy.

[0136] The route switching and restoration signal output module 15 is configured to perform route switching on the optical transmission line according to the optical line protection strategy, and output a route restoration signal according to the original route stability evaluation result.

[0137] In some embodiments, the optical splitting signal acquisition module 11 includes:

[0138] The working route acquisition unit is used to obtain the working route of the optical transmission line, where the working route includes a main sending route and a main receiving route.

[0139] The main transmission route optical splitting unit is configured to perform minimum-intrusion optical splitting on the main transmission route according to the optical splitter based on a predetermined splitting ratio to obtain the first split signal group.

[0140] The main route splitting and signal set generating unit is configured to perform minimum intrusion splitting on the main route according to the optical splitter based on the predetermined splitting ratio to obtain the second split signal group and generate the first split signal set in combination with the first split signal group.

[0141] In some embodiments, the spectroscopic scene interference compensation module 12 includes:

[0142] The spectroscopic scene parameter collection unit is configured to collect spectroscopic scene parameters for the first spectroscopic signal group and the second spectroscopic signal group based on the spectroscopic scene factor, to obtain a first spectroscopic scene data set and a second spectroscopic scene data set.

[0143] The first split signal group interference compensation unit is configured to perform split scene interference compensation on the first split signal group according to the first split scene data set to obtain a third split signal group.

[0144] The second split signal group interference compensation and signal set generation unit is used to perform split scene interference compensation on the second split signal group according to the second split scene data set to obtain a fourth split signal group, and combine it with the third split signal group to generate the second split signal set.

[0145] The spectroscopic scene factors include the spectrometer state and the spectroscopic environment.

[0146] In some implementations, the spectroscopic scene interference compensation module 12 includes:

[0147] The first optical split signal scene data extraction unit is configured to extract first signal optical split scene data corresponding to a first optical split signal according to the first optical split scene data set, where the first optical split signal includes any optical split signal in the first optical split signal group.

[0148] The first optical spectroscopic scene abnormality detection unit is configured to perform abnormality detection according to the first signal optical spectroscopic scene data to obtain a first optical spectroscopic scene abnormality detection result.

[0149] The first scene abnormal light spectroscopic interference analysis unit is configured to perform interference analysis on the first light spectroscopic signal according to the first light spectroscopic scene abnormality detection result to obtain the first scene abnormal light spectroscopic interference.

[0150] The first optical split signal adaptive compensation unit is configured to adaptively compensate the first optical split signal according to the abnormal optical split interference of the first scene to obtain a first optical split optimization signal, and add the first optical split optimization signal to the third optical split signal group.

[0151] In some embodiments, the sampling intensity adaptive tuning module 13 includes:

[0152] The third split optical signal group strength detection unit is used to perform strength detection on the third split optical signal group to obtain the strength of each signal.

[0153] The signal strength difference vector construction unit is configured to construct a signal strength difference vector if any signal strength among the signal strengths is less than a predetermined signal strength.

[0154] The third optical split signal group sampling intensity optimization unit is configured to optimize the sampling intensity of the third optical split signal group based on the signal intensity difference vector to obtain a fifth optical split signal group.

[0155] The fourth split signal group sampling intensity tuning unit is configured to adaptively tune the sampling intensity of the fourth split signal group according to the predetermined signal intensity to obtain a sixth split signal group, and add the fifth split signal group and the sixth split signal group to the third split signal set.

[0156] In some embodiments, the routing protection policy generation module 14 includes:

[0157] The main transmission route optical split signal sample retrieval and analysis unit is used to perform normal optical split signal sample retrieval on the main transmission route to obtain a first optical split signal sample set, and perform central trend analysis on the first optical split signal sample set to obtain a first reference optical split signal.

[0158] The optical split signal deviation identification unit is configured to identify the deviation of the fifth optical split signal group according to the first reference optical split signal to obtain a first sequence of optical split signal deviations.

[0159] The routing signal quality detection and coefficient acquisition unit is used to input the split signal deviation from the first sequence into the routing signal quality detection model to obtain a first routing signal quality coefficient.

[0160] The routing signal quality coefficient judgment unit is used to judge whether the first routing signal quality coefficient is less than the routing signal quality threshold.

[0161] The routing fuzzy switching strategy generating and adding unit is configured to obtain a first routing fuzzy switching strategy if the first routing signal quality coefficient is less than the routing signal quality threshold, and add the first routing fuzzy switching strategy to the routing protection fuzzy strategy.

[0162] In some embodiments, the routing protection policy generation module 14 includes:

[0163] The main route split signal sample retrieval and analysis unit is used to perform normal split signal sample retrieval on the main route to obtain a second split signal sample set, and perform central trend analysis on the second split signal sample set to obtain a second reference split signal.

[0164] The sixth split signal group deviation identification unit is configured to identify the deviation of the sixth split signal group according to the second reference split signal to obtain a second sequence of split signal deviations.

[0165] The routing signal quality detection and second coefficient acquisition unit is used to input the split signal deviation from the second sequence into the routing signal quality detection model to obtain the routing signal quality second coefficient.

[0166] The second routing fuzzy switching strategy generating and adding unit is configured to obtain a second routing fuzzy switching strategy if the second routing signal quality coefficient is less than the routing signal quality threshold, and add the second routing fuzzy switching strategy to the routing protection fuzzy strategy.

[0167] In some embodiments, the routing protection policy generation module 14 further includes:

[0168] A disturbance prediction unit is used to perform disturbance prediction on the C+L 400G transmission network according to the routing protection fuzzy strategy to obtain an optical network disturbance prediction result.

[0169] The risk assessment unit is used to perform risk assessment according to the optical network disturbance prediction result to obtain an optical network disturbance risk assessment result.

[0170] The risk disturbance feature extraction unit is used to clean the optical network disturbance prediction result according to the optical network disturbance risk assessment result to obtain the optical network risk disturbance feature.

[0171] A protection strategy optimization unit is used to optimize the routing protection fuzzy strategy according to the optical network risk disturbance characteristics to generate the optical line protection strategy.

[0172] In some embodiments, the routing switching and reset signal output module 15 includes:

[0173] The original route determining unit is configured to determine the original route according to the optical line protection strategy.

[0174] The original route real-time monitoring unit is used to monitor the original route in real time when the original route returns to normal, and obtain original route monitoring data.

[0175] The original route state stability evaluation unit is used to perform state stability evaluation based on the original route monitoring data to obtain the original route stability evaluation result.

[0176] The routing restoration signal generating unit is configured to generate the routing restoration signal if the original routing stability evaluation result satisfies the state stability constraint.

[0177] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment one are also applicable to the optical line protection device based on the C+L 400G transmission network described in embodiment two. For the sake of brevity of the specification, no further elaboration is given here.

[0178] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the embodiments mentioned above. It should be understood that those skilled in the art can still modify the technical solutions described in the above embodiments or replace some of the technical features therein with equivalents; and such modifications or replacements do not deviate from the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention and are all included in the scope of protection of the present invention.

Claims

1. An optical line protection method based on a C+L 400G transmission network is characterized in that: include: Performing minimal intrusion routing splitting on an optical transmission line of the C+L 400G transmission network according to an optical splitter to obtain a first split signal set, wherein the first split signal set includes a first split signal group and a second split signal group; Performing split scene interference compensation on the first split signal set based on the split scene factor to obtain a second split signal set; Adaptively adjusting the sampling intensity of the second split signal set to obtain a third split signal set; Inputting the third split optical signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy; Performing route switching on the optical transmission line according to the optical line protection strategy, and outputting a route restoration signal according to the original route stability evaluation result; Performing split scene interference compensation on the first split signal set based on the split scene factor to obtain a second split signal set includes: The light splitting scene factors include the light splitter state and the light splitting environment; Based on the spectroscopic scene factor, respectively collecting spectroscopic scene parameters of the first spectroscopic signal group and the second spectroscopic signal group to obtain a first spectroscopic scene data set and a second spectroscopic scene data set; performing spectroscopic scene interference compensation on the first spectroscopic signal group according to the first spectroscopic scene data set to obtain a third spectroscopic signal group; Performing split scene interference compensation on the second split signal group according to the second split scene data set to obtain a fourth split signal group, and combining the fourth split signal group with the third split signal group to generate the second split signal set; Adaptively tuning the sampling intensity of the second split signal set to obtain a third split signal set includes: Performing intensity detection on the third split signal group to obtain the intensity of each signal; If any signal strength among the signal strengths is less than a predetermined signal strength, constructing a signal strength difference vector; performing sampling intensity optimization on the third optical split signal group based on the signal intensity difference vector to obtain a fifth optical split signal group; Adaptively adjust the sampling intensity of the fourth split signal group according to the predetermined signal intensity to obtain a sixth split signal group, and add the fifth split signal group and the sixth split signal group to the third split signal set.

2. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Minimum intrusion routing splitting is performed on the optical transmission line of the C+L 400G transmission network using an optical splitter to obtain a first split signal set, including: Obtaining a working route of the optical transmission line, wherein the working route includes a primary transmitting route and a primary receiving route; Based on a predetermined splitting ratio, performing minimum intrusion splitting on the main transmission route using the optical splitter to obtain the first split signal group; Based on the predetermined splitting ratio, the optical splitter performs minimum intrusion splitting on the main route to obtain the second split signal group, which is combined with the first split signal group to generate the first split signal set.

3. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Performing optical splitting scene interference compensation on the first optical splitting signal group according to the first optical splitting scene data set to obtain a third optical splitting signal group includes: extracting first signal split scene data corresponding to a first split signal according to the first split scene data set, where the first split signal includes any split signal in the first split signal group; Performing anomaly detection based on the first signal spectroscopic scene data to obtain a first spectroscopic scene anomaly detection result; performing interference analysis on the first optical splitting signal according to the first optical splitting scene abnormality detection result to obtain first scene abnormal optical splitting interference; Adaptively compensate the first optical split signal according to the abnormal optical split interference of the first scene to obtain a first optical split optimization signal, and add the first optical split optimization signal to the third optical split signal group.

4. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, including: Performing a normal split signal sample search on the main transmission route to obtain a first split signal sample set, and performing a central trend analysis on the first split signal sample set to obtain a first reference split signal; performing deviation identification on the fifth split signal group according to the first reference split signal to obtain a first sequence of split signal deviations; Inputting the optical split signal deviation from the first sequence into the routing signal quality detection model to obtain a first routing signal quality coefficient; Determining whether the first routing signal quality coefficient is less than a routing signal quality threshold; If the first routing signal quality coefficient is less than the routing signal quality threshold, a first routing fuzzy switching strategy is obtained, and the first routing fuzzy switching strategy is added to the routing protection fuzzy strategy.

5. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Inputting the third split signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, including: Performing a normal split signal sample search on the main route to obtain a second split signal sample set, and performing a central trend analysis on the second split signal sample set to obtain a second reference split signal; performing deviation identification on the sixth split signal group according to the second reference split signal to obtain a second sequence of split signal deviations; Inputting the split signal deviation from the second sequence into the routing signal quality detection model to obtain a second routing signal quality coefficient; If the second routing signal quality coefficient is less than the routing signal quality threshold, a second routing fuzzy switching strategy is obtained, and the second routing fuzzy switching strategy is added to the routing protection fuzzy strategy.

6. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Performing disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy includes: Performing disturbance prediction on the C+L 400G transmission network according to the routing protection fuzzy strategy to obtain an optical network disturbance prediction result; Performing risk assessment based on the optical network disturbance prediction result to obtain an optical network disturbance risk assessment result; Cleaning the optical network disturbance prediction result according to the optical network disturbance risk assessment result to obtain an optical network risk disturbance feature; The routing protection fuzzy strategy is optimized according to the optical network risk disturbance characteristics to generate the optical line protection strategy.

7. The optical line protection method based on the C+L 400G transmission network according to claim 1, characterized in that: Based on the original route stability evaluation results, the routing restoration signal is output, including: determining an original route according to the optical line protection strategy; When the original route returns to normal, the original route is monitored in real time to obtain original route monitoring data; Performing state stability evaluation based on the original route monitoring data to obtain the original route stability evaluation result; If the original route stability evaluation result satisfies the state stability constraint, the route restoration signal is generated.

8. The optical line protection device based on C+L 400G transmission network is characterized by: The optical line protection method based on the C+L 400G transmission network for implementing any one of claims 1 to 7 comprises: A split signal acquisition module, configured to perform minimum intrusion routing splitting on an optical transmission line of the C+L 400G transmission network according to an optical splitter to obtain a first split signal set, where the first split signal set includes a first split signal group and a second split signal group; A split scene interference compensation module, configured to perform split scene interference compensation on the first split signal set based on a split scene factor to obtain a second split signal set; a sampling intensity adaptive tuning module, configured to perform sampling intensity adaptive tuning on the second split signal set to obtain a third split signal set; a routing protection strategy generating module, configured to input the third split optical signal set into a routing signal quality detection model to obtain a routing protection fuzzy strategy, and perform disturbance prediction optimization on the routing protection fuzzy strategy to obtain an optical line protection strategy; The route switching and restoration signal output module is used to perform route switching on the optical transmission line according to the optical line protection strategy and output a route restoration signal according to the original route stability evaluation result.

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