CN118869061B

CN118869061B - All-optical-path intelligent communication switching protection method based on MEMS technology

Info

Publication number: CN118869061B
Application number: CN202410887797.5A
Authority: CN
Inventors: 张晓峰; 齐军; 马旭斌; 梁笑; 张畅; 关朕; 徐常志; 王传琦
Original assignee: Inner Mongolia Electric Power Group Co ltd Alxa Power Supply Branch
Current assignee: Inner Mongolia Electric Power Group Co ltd Alxa Power Supply Branch
Priority date: 2024-07-03
Filing date: 2024-07-03
Publication date: 2025-02-18
Anticipated expiration: 2044-07-03
Also published as: CN118869061A

Abstract

The present invention relates to the field of digital information transmission, and is particularly used for an all-optical routing intelligent communication switching protection method based on MEMS technology. The all-optical routing is subjected to optical signal data acquisition processing through a MEMS sensor to obtain node optical signal data; the node optical signal data is subjected to communication frequency analysis to obtain a communication frequency graph; the node optical signal data is subjected to peak spectrum bandwidth coverage analysis and abnormal impact communication evaluation analysis to obtain spectrum abnormal communication impact data; the optical pulse time characteristic data is subjected to reflection curve construction processing to obtain an optical signal reflection curve; the optical signal reflection curve is subjected to abnormal impact communication evaluation analysis based on the optical signal spectrum graph to obtain optical signal reflection abnormal communication impact data; the communication frequency graph is subjected to abnormal communication strategy analysis based on the two communication impact data to obtain an abnormal channel switching processing strategy; the present invention optimizes abnormal data analysis to ensure the optimization of communication switching speed.

Description

All-optical-path intelligent communication switching protection method based on MEMS technology

Technical Field

The invention relates to the field of digital information transmission, in particular to an all-optical-path routing intelligent communication switching protection method based on MEMS technology.

Background

Conventional optical communication networks rely on electronic switching nodes for routing and managing optical signals, which become performance bottlenecks, limiting system speed and increasing delays. In the optical communication network, the MEMS technology is used for high-efficiency and flexible flow management and fault protection information transmission, the MEMS is a micro-electro-mechanical system technology, micro-scale electronic elements and mechanical elements are combined to realize miniaturized and high-performance devices, in the field of optical communication, the MEMS technology can realize accurate control and adjustment of an optical path, direct transmission and switching of optical signals are realized for all-optical-path routing, the photoelectric conversion process is avoided, the network transmission efficiency and the bandwidth utilization rate are improved, but the MEMS technology is a micro-electro-mechanical system technology, and the limitation that the mechanical motion for analyzing the abnormal optical signals in the MEMS technology is relatively slow in the aspect of communication switching exists.

Disclosure of Invention

Based on this, the present invention needs to provide an all-optical-path intelligent communication switching protection method based on MEMS technology, so as to solve at least one of the above technical problems.

An all-optical-path routing intelligent communication switching protection method based on MEMS technology comprises the following steps:

The method comprises the steps of S1, obtaining and processing optical signal data of all optical routes through an MEMS sensor to obtain node optical signal data, carrying out optical pulse characteristic and spectrum analysis on the node optical signal data to obtain optical pulse time characteristic data and an optical signal spectrum graph, and carrying out communication frequency analysis on the node optical signal data based on the optical pulse time characteristic data and the optical signal spectrum graph to obtain a communication frequency graph;

Step S2, carrying out peak analysis on the optical signal spectrogram based on the node optical signal data to obtain wavelength spectrum peak value data, carrying out spectral bandwidth coverage analysis on the optical signal spectrogram to obtain optical signal coverage frequency range data, carrying out abnormal influence communication evaluation analysis on the optical signal spectrogram based on the wavelength spectrum peak value data and the optical signal coverage frequency range data to obtain spectrum abnormal communication influence data;

S3, performing time domain waveform construction on the optical pulse time characteristic data to obtain an optical time domain waveform, performing reflection curve construction processing on the node optical signal data based on the optical time domain waveform to obtain an optical signal reflection curve, and performing abnormal influence communication evaluation analysis on the optical signal reflection curve based on an optical signal spectrogram to obtain optical signal reflection abnormal communication influence data;

And S4, carrying out image fitting processing on the communication frequency chart based on the spectral abnormal communication influence data and the optical signal reflection abnormal communication influence data to obtain a spectral reflection frequency chart, carrying out spectral reflection abnormal fusion index analysis on the spectral reflection frequency chart to obtain a spectral reflection abnormal fusion index, and carrying out abnormal communication strategy analysis on the total optical path based on the spectral reflection abnormal fusion index and the total optical path routing node data to obtain an abnormal channel switching processing strategy.

The invention obtains the optical signal data in the all-optical route by using the MEMS sensor, comprehensively analyzes the optical performance of the node, provides precious insights about the time and frequency characteristics of the optical signal by the optical pulse characteristics and the spectrum analysis, and reveals any potential interference or conflict by carrying out communication frequency analysis on the time characteristics and the spectrum diagram of the optical pulse; the spectral bandwidth coverage analysis provides a frequency range of optical signal coverage by performing spectral peak analysis on the node optical signal data to identify specific wavelengths in the optical signal, which is very important for assessing communication quality and potential frequency interference, by combining spectral peak and coverage data to assess the effect of optical anomalies on communication, by constructing an optical time domain waveform to represent changes in the optical signal over time, which is useful for detecting any time-dependent features or anomalies, by constructing a reflection curve based on the optical time domain waveform to provide insight into the reflection characteristics of the optical signal, which is very useful for understanding network performance and identifying any reflection-induced interference, by combining the optical signal reflection curve with a spectral map to assess the effect of reflection anomalies on communication, by performing image fitting processing on the communication frequency map, which generates a spectral reflection frequency map, which provides a frequency domain representation of the reflection characteristics of the optical signal, which reveals the relationship between reflection and frequency, by performing fusion index analysis based on the spectral reflection anomalies, which is useful for finally switching the optical path through the spectral reflection anomalies by taking into account the total reflection index in the whole frequency range, the method is favorable for optimizing the operation of the EMES technology in the process of switching channel protection to analyze the abnormal operation speed of the optical signal so as to reduce the influence of the mechanical component on the switching channel in a mode of optimizing the signal processing strategy.

Preferably, step S1 comprises the steps of:

S11, carrying out communication node identification processing on the all-optical routing to obtain an all-optical routing node;

step S12, optical signal data acquisition processing is carried out on the all-optical path node through the MEMS sensor, and node optical signal data are obtained;

s13, performing optical pulse time characteristic analysis on the node optical signal data to obtain optical pulse time characteristic data;

S14, analyzing the spectrogram of the node optical signal data to obtain an optical signal spectrogram;

And S15, carrying out communication frequency analysis on the node optical signal data based on the optical pulse time characteristic data and the optical signal spectrogram to obtain a communication frequency chart.

The method comprises the steps of carrying out communication node identification processing on all-optical paths, determining the position and identity of each node, providing accurate node information for subsequent data acquisition and analysis, facilitating system management and monitoring, carrying out optical signal data acquisition processing on all-optical path nodes by utilizing MEMS sensors, monitoring optical signal conditions of the nodes in real time, providing a data basis for subsequent optical signal analysis and abnormal processing, carrying out optical pulse time characteristic analysis on the optical signal data of the nodes, extracting time characteristic data of the optical signals, facilitating understanding of the transmission speed and time characteristics of the optical signals, providing important references for communication frequency analysis, carrying out spectrogram analysis on the optical signal data of the nodes, acquiring spectrum characteristics of the optical signals, facilitating understanding of frequency distribution conditions of the optical signals, providing basis for communication frequency analysis and system optimization, and carrying out communication frequency analysis on the optical signal data of the nodes by combining the optical pulse time characteristic data with the optical signal spectrogram, facilitating revealing of communication frequency modes used in a network, and helping to detect potential frequency conflicts, interference or unutilized frequency bands by identifying and analyzing the frequency modes, thereby optimizing the optical communication performance and ensuring efficient spectrum utilization.

Preferably, step S15 comprises the steps of:

step S151, performing optical phase analysis on the optical pulse time characteristic data to obtain an optical pulse phase spectrum;

step S152, analyzing the optical pulse repetition frequency of the optical pulse phase spectrum to obtain the optical pulse repetition frequency;

step 153, performing frequency analysis on the optical signal spectrogram to obtain optical signal spectral frequency;

Step S154, carrying out communication frequency analysis on the node optical signal data based on the optical pulse repetition frequency and the optical signal spectrum frequency to obtain optical signal communication frequency data;

and step S155, performing frequency composition processing on the optical signal communication frequency data to obtain an optical signal communication frequency chart.

The invention is used for obtaining the phase spectrum of the optical pulse by carrying out optical phase analysis on the optical pulse time characteristic data, revealing the phase characteristic of the optical signal, helping to know the phase change of the optical pulse, detecting the existence of potential phase codes or phase modulation, providing a basis for subsequent frequency analysis, helping to identify the pulse characteristic of a light source by analyzing the optical pulse phase spectrum to determine the repetition frequency of the optical pulse, revealing the specific pulse mode used by an optical communication system, determining the optical pulse repetition frequency which is critical for subsequent signal processing and analysis, revealing the spectral distribution of the optical signal by carrying out frequency analysis on an optical signal spectrogram, identifying peaks in the spectrum, representing optical communication channels and existing specific frequency components, obtaining important insights about interference in transmission signals or channels by analyzing the optical signal spectral frequency, comprehensively analyzing the optical pulse repetition frequency and the optical signal spectral frequency information of nodes, helping to identify the actual communication frequency used in the optical signal, revealing a frequency conversion technology, better analyzing the frequency, helping to better understand the optical communication system and the operation parameters thereof by carrying out frequency analysis on the optical signal spectral frequency, helping to identify the valuable communication frequency information in the optical communication system, and making use of the frequency pattern, the frequency information, and the frequency information of the optical communication system can be used for setting up a frequency map, so as to provide a visual communication system to be capable of optimizing the frequency and the communication system by utilizing the frequency pattern.

Preferably, step S2 comprises the steps of:

s21, performing wavelength characteristic division on node optical signal data to obtain optical signal wavelength characteristic data;

s22, analyzing the optical signal spectrogram based on the optical signal wavelength characteristic data to obtain a wavelength characteristic spectrogram;

s23, carrying out peak analysis on the wavelength characteristic spectrogram to obtain wavelength spectrum peak data;

S24, performing spectral bandwidth coverage analysis on the optical signal spectrogram to obtain optical signal coverage frequency range data;

S25, performing spectrogram anomaly analysis on the spectrogram of the optical signal based on the wavelength spectrum peak value data and the optical signal coverage frequency range data to obtain optical signal anomaly spectrum data;

and S26, carrying out abnormal influence communication evaluation analysis on the abnormal spectrum data of the optical signal to obtain spectrum abnormal communication influence data.

The method and the device accurately extract key information about the wavelength of the optical signal by dividing the wavelength characteristics of the node optical signal data, provide important support for determining different wavelengths used in an optical communication system, ensure that the acquisition of the wavelength characteristic data is important for deeply understanding the characteristics of the optical signal and the wavelength related effects existing in an optical channel, contribute to system design and performance optimization, and perform spectral analysis based on the optical signal wavelength characteristic data to obtain a wavelength characteristic spectrogram, accurately depict the spectral characteristics of the optical signal under different wavelengths and provide key clues for further analysis. The method comprises the steps of carrying out peak analysis on a wavelength characteristic spectrogram to obtain wavelength spectrum peak data, accurately identifying peak characteristics in the spectrum, providing important references for anomaly analysis and signal optimization, determining the whole frequency range covered by an optical signal by spectral bandwidth coverage analysis, helping to fully utilize spectrum resources and find different channels and frequency ranges, providing important data for system bandwidth requirement assessment by knowing the frequency range covered by the optical signal in detail, optimizing communication performance, improving system stability and efficiency, and providing key support for design and optimization of an optical communication system by the comprehensive analysis steps.

Preferably, step S25 comprises the steps of:

Step S251, carrying out main wavelength identification processing on an optical signal spectrogram based on wavelength spectrum peak value data to obtain spectrum main wavelength data;

Step S252, carrying out abnormal side peak analysis on the optical signal spectrogram based on the spectrum main wavelength data to obtain abnormal side peak data;

step S253, performing abnormal noise spectrum bandwidth analysis on the optical signal spectrum to obtain noise coverage frequency range data;

Step S254, performing reference comparison processing on the noise coverage frequency range data based on the optical signal coverage frequency range data to obtain noise abnormal spectrum data;

and S255, fitting the abnormal side peak data and the noise abnormal spectrum data to obtain the optical signal abnormal spectrum data.

The invention is helpful to identify the main operation wavelength in the optical communication system by carrying out main wavelength identification processing on the wavelength spectrum peak value data to determine the basic wave region in the optical signal spectrogram, which is very important for the subsequent channel allocation, interference management and system optimization, and the main wavelength data provides basic information about the spectral emission characteristics of the light source and the channel response; the method comprises the steps of detecting any abnormal side peak or peak in an optical signal spectrogram, carrying out abnormal side peak analysis on the optical signal spectrogram to detect any abnormal side peak or peak, helping to identify any potential interference or abnormal signal in the spectrum, acquiring abnormal side peak data which can indicate the existence of inter-channel interference, nonlinear effect or any abnormal condition in the optical communication system, carrying out abnormal noise spectral bandwidth analysis on the optical signal spectrogram to determine a frequency range covered by a noise signal, helping to evaluate noise level and property in the optical communication system, carrying out quantification affected by noise by knowing the noise covered frequency range, carrying out reference comparison on the optical signal covered frequency range data and the noise covered frequency range data to identify noise abnormal spectrum different from basic signal characteristics, helping to quantify the influence of noise on communication and indicating the existence of hidden channel problems or frequency band utilization problems, and carrying out fitting on the abnormal side peak data and the noise abnormal spectral data to generate comprehensive data which indicates the abnormal spectral characteristics of the optical signal, providing a concise method to indicate the abnormal condition or the interference condition in the optical communication system, and carrying out fitting on the data to better visualize, determine the severity and correspondingly reduce the strategy of the influence on the system performance and the quality.

Preferably, step S26 includes the steps of:

step S261, carrying out abnormal side peak analysis on abnormal spectrum data of the optical signal to obtain abnormal spectrum side peak data;

s262, carrying out abnormal communication dispersion analysis on the abnormal spectrum side peak data to obtain abnormal communication spectrum dispersion data;

Step S263, carrying out communication signal-to-noise influence analysis on the abnormal communication spectrum dispersion data to obtain an abnormal dispersion signal-to-noise ratio;

Step S264, carrying out noise communication signal-to-noise influence analysis on abnormal spectrum data of the optical signal to obtain noise signal-to-noise ratio data;

Step 265, carrying out error rate analysis based on the abnormal dispersion signal-to-noise ratio and the noise signal-to-noise ratio data to obtain communication error rate data;

and step S266, carrying out communication influence evaluation processing on the communication error rate data to obtain spectrum abnormal communication influence data.

The invention is helpful for revealing abnormal signals in an optical communication system, identifying abnormal spectral side peaks to help position problems and determining whether inter-channel interference and nonlinear effects exist or not by carrying out abnormal side peak analysis on abnormal spectral data of the optical signals so as to identify abnormal side peaks in the spectrogram, carrying out abnormal communication dispersion analysis on the abnormal spectral side peak data to quantify spectral dispersion effects experienced by the optical signals during transmission and help evaluate the influence of dispersion on communication quality, carrying out communication signal noise influence analysis on the abnormal communication spectral dispersion data so as to determine the severity of dispersion and the influence of the dispersion on signal to noise ratio, carrying out communication signal noise influence analysis on the abnormal communication spectral dispersion data so as to determine the influence of dispersion on signal noise ratio, helping to quantify the contribution of the abnormal dispersion on signal quality degradation so as to evaluate whether the dispersion causes bit errors or not, and indicating that error correction technology is needed, the signal noise ratio is an important index for ensuring system performance, carrying out noise communication signal noise influence analysis on the abnormal spectral data so as to acquire noise signal noise ratio data, the step is helpful for analyzing the influence of the noise on the communication system on communication quality, improving the communication system and reducing the influence of the optical signal noise error ratio and providing a comprehensive analysis scheme for evaluating the error rate and providing an error rate for the communication error system based on the error rate and the error rate, providing a comprehensive analysis and error rate and an error rate for the error rate and a communication system is designed to be suitable for evaluating the error rate and an error analysis system, providing an important reference for system optimization and performance improvement.

Preferably, step S3 comprises the steps of:

s31, performing full-width measurement analysis on the light pulse time characteristic data to obtain light pulse width data;

s32, analyzing pulse repetition frequency of the light pulse time characteristic data to obtain pulse repetition frequency;

s33, performing time domain waveform construction on the optical pulse width data and the pulse repetition frequency to obtain an optical time domain waveform;

Step S34, carrying out reflection curve construction processing on the node optical signal data based on the optical time domain waveform to obtain an optical signal reflection curve;

and step S35, carrying out abnormal influence communication evaluation analysis on the optical signal reflection curve based on the optical signal spectrogram to obtain optical signal reflection abnormal communication influence data.

The invention facilitates characterizing channel occupancy properties of optical pulses by performing full-width metric analysis on the optical pulse temporal profile to determine duration of the optical pulses and corresponding optical pulse widths, evaluates pulse propagation and pulse compression characteristics in the system by acquiring the optical pulse width data, facilitates evaluating throughput and efficiency of the optical communication system by performing pulse repetition frequency analysis on the optical pulse temporal profile to determine rate of repetitive transmission of the optical pulses, facilitates adjusting system settings, optimizing data rates and ensuring compliance with requirements of a particular application to facilitate identifying any potential frequency-related problem, performs time domain waveform construction on the optical pulse width data and the pulse repetition frequencies to visualize shape and behavior of the optical pulses in the time domain, provides information about optical pulse signal to noise ratio, distortion and potential interference, simulates and analyzes propagation of the optical pulses in the channel by performing reflection curve construction processing on the node optical signal data based on the optical time domain waveform to determine response characteristics of the system, facilitates analyzing channel reflection, coherence or any potential effects, evaluates optical signal reflection curve quality by obtaining the optical signal reflection curve, identifies the reflection source, evaluates the optical signal to determine the effect of the system by optimizing the reflection curve, evaluates the reflection curve by evaluating the signal to determine the effect of the communication system by evaluating the signal to the effect of an abnormal reflection curve, evaluates the communication signal by evaluating the signal reflection curve has an abnormal signal has been evaluated based on the signal reflection curve has been evaluated, the abnormal communication influence data of the reflection of the optical signals provides important insight for fault removal and performance optimization.

Preferably, step S34 includes the steps of:

step S341, performing optical fiber node analysis on the node optical signal data to obtain optical fiber node data;

Step S342, analyzing the node optical signal frequency of the optical fiber node data to obtain the node optical signal frequency;

s343, performing reflection signal capturing processing on the optical fiber node data based on the optical time domain waveform to obtain reflection signal data;

step S344, performing reflected signal intensity analysis on the reflected signal data to obtain reflected signal intensity;

And step S345, performing curve construction processing on the node optical signal data based on the node optical signal frequency and the reflected signal intensity to obtain an optical signal reflection curve.

The invention facilitates analysis of optical signal propagation and transmission characteristics in an optical fiber network by performing fiber node analysis on node optical signal data to identify and locate specific nodes in the optical fiber communication system, evaluates optical signal data at the nodes by obtaining fiber node data including node position, loss and reflection characteristics, performs node optical signal frequency analysis on the fiber node data to determine the oscillation frequency of the optical signal at the fiber node, facilitates ensuring that the optical signal matches the design frequency of the node and ensures optimal transmission, facilitates identification of frequency mismatch, interference, performs reflection signal capture processing on the fiber node data to analyze the optical signal reflected from the nodes to facilitate quantification of characteristics of the reflected signal including intensity, duration and potential error, evaluates channel quality at the nodes by such reflection signal capture processing to characterize the reflection source and determine the performance impact on the optical communication system, performs reflection signal intensity analysis on the reflected signal data to quantify the power of the reflected signal, provides a method of node reflection characteristics by analyzing the reflection signal intensity to account for severe node reflection signal and its degree, and frequency of the reflection signal is completely analyzed by the analysis, and the reflection signal is completely analyzed by the reflection signal capture processing to create a graph to establish a graph of the reflection signal, thereby facilitating the establishment of a graph between the reflection signal and the reflection signal has been completely analyzed, the optical signal reflection curve provides valuable information for visually understanding the optical signal performance.

Preferably, step S35 includes the steps of:

s351, carrying out reflection intensity spectrum analysis on an optical signal reflection curve based on an optical signal spectrum to obtain a reflection intensity spectrum;

Step S352, carrying out abnormal peak amplitude reduction analysis on the reflection intensity spectrogram to obtain abnormal peak amplitude reduction data;

step S353, carrying out abnormal reflection peak increment analysis on the reflection intensity spectrogram to obtain abnormal reflection peak increment data;

S354, carrying out abnormal reflection period analysis on the reflection intensity spectrogram to obtain abnormal reflection period data;

step S355, carrying out abnormal communication data set processing on the abnormal peak amplitude reduction data, the abnormal reflection peak increment data and the abnormal reflection period data to obtain an abnormal reflection data set;

Step S356, performing influence light signal flux analysis on the abnormal reflection data set to obtain light signal flux influence data;

And S357, carrying out abnormal influence communication evaluation analysis on the optical signal flux influence data to obtain optical signal reflection abnormal communication influence data.

The invention is beneficial to quantifying the spectral characteristics of a reflected signal by carrying out reflection intensity spectrum analysis on a light signal spectrogram and a light signal reflection curve to determine the intensity distribution of the reflected signal, intuitively displaying and analyzing the power frequency range distribution of the reflected signal by generating the reflection intensity spectrogram, carrying out abnormal peak value down-amplitude analysis on the reflection intensity spectrogram to identify abnormal peaks or abrupt drops in the spectrum, helping to detect potential interference or attenuation in the reflected signal, comparing an expected or standard frequency spectrum with the observed peak value down-amplitude to determine the existence of abnormal reflection and the potential influence thereof on the performance of a communication system, carrying out abnormal reflection peak increment analysis on the reflection intensity spectrogram to help identify abnormal peak increment in the reflected signal, quantifying peak increment by comparing continuous spectral lines or reference levels, carrying out abnormal reflection peak increment analysis to reveal the existence of a channel interference source and influence on the integrity and quality of the light signal, carrying out abnormal reflection period analysis on the reflection intensity spectrogram to obtain abnormal reflection period data, helping to analyze the periodic variation of the abnormal reflection signal, helping to provide detailed data of the abnormal reflection signal period, provide support for the abnormal feature identification and the positioning, compare the expected or standard frequency spectrum with the observed peak down-amplitude to determine the existence of abnormal reflection and the potential influence thereof on the performance of the communication system, carrying out comprehensive evaluation on the abnormal reflection signal based on the actual communication signal, comprehensively evaluating the abnormal reflection signal by comprehensively considering the abnormal reflection signal, carrying out the data, comprehensively evaluating the abnormal reflection signal, and comprehensively evaluating the abnormal signal has the influence on the abnormal signal has been evaluated by the effect on the abnormal signal and the actual signal, and carrying out abnormal influence communication evaluation analysis on the optical signal flux influence data to quantify the influence degree of the abnormal reflection on the communication system, helping to identify abnormal problems in communication, being beneficial to providing specific influence conditions of the abnormal reflection on the communication system and providing important references for system operation maintenance and performance improvement.

Preferably, step S4 comprises the steps of:

s41, performing image fitting processing on the communication frequency map based on the spectral abnormal communication influence data and the optical signal reflection abnormal communication influence data to obtain a spectral reflection frequency map;

Step S42, performing characteristic analysis and indexing treatment on the spectral reflection frequency chart to obtain a spectral reflection fusion index;

s43, carrying out abnormal influence communication interval analysis on the spectral reflection frequency diagram to obtain a spectral reflection abnormal influence interval;

S44, performing covariant analysis on the spectrum reflection fusion index based on the spectrum reflection abnormal influence interval to obtain the spectrum reflection abnormal fusion index;

S45, carrying out abnormal node identification processing on all-optical path abnormal node data based on the spectral reflection abnormal fusion index to obtain all-optical path abnormal node data;

And step S46, carrying out abnormal communication strategy analysis on the all-optical path based on the all-optical path abnormal node data to obtain an abnormal channel switching strategy.

The method comprises the steps of performing image fitting processing on spectral anomaly communication influence data and optical signal reflection anomaly communication influence data to integrate anomaly communication influence information, generating a spectral reflection frequency chart, facilitating visualization and identification of the existence of reflection anomalies in a frequency domain, providing visual representation of the position and degree of decline of the performance of an optical communication system in the frequency domain, performing feature analysis and indexing processing on the spectral reflection frequency chart to quantify the influence of the reflection anomalies and obtain a spectral reflection fusion index, identifying key features in the spectral reflection chart, providing a concise method for representing the intensity and property of the reflection anomalies and providing a convenient data format for subsequent analysis and modeling, performing anomaly influence communication interval analysis on the spectral reflection frequency chart to determine an influence interval of the reflection anomalies on the optical communication, facilitating identification of any critical frequency and reflection anomaly frequency range, evaluating potential limitations of the performance of the system in the given frequency range, correspondingly adjusting system design or selecting a proper mitigation strategy, performing covariation analysis on the spectral reflection fusion index based on the spectral reflection anomaly influence interval, facilitating comprehensive analysis by a plurality of nodes, providing a more obvious analysis result of the reflection anomalies as a node, and comprehensively evaluating the anomaly by using the overall analysis as a node to the anomaly data, and comprehensively evaluating the anomaly by using the spectral reflection anomaly analysis as a node, and carrying out abnormal communication strategy analysis on the all-optical path based on the all-optical path abnormal node data, and formulating and optimizing an abnormal channel switching processing strategy to furthest reduce the influence of the abnormal channel switching processing strategy.

Drawings

Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of a non-limiting implementation, made with reference to the accompanying drawings in which:

FIG. 1 is a schematic flow chart of steps of an all-optical-path routing intelligent communication switching protection method based on MEMS technology;

FIG. 2 is a detailed step flow chart of step S2 in FIG. 1;

fig. 3 is a detailed step flow chart of step S3 in fig. 1.

Detailed Description

The following description of the application, or of the technical solutions of the application, is made clearly and completely with reference to the accompanying drawings, it being evident that the embodiments described are some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to fall within the scope of the present application.

Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.

It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

In order to achieve the above objective, referring to fig. 1 to 3, the present invention provides an all-optical-path intelligent communication switching protection method based on MEMS technology, comprising the following steps:

In the embodiment of the present invention, please refer to fig. 1, which is a schematic diagram of a step flow of an all-optical-path-routing intelligent communication switching protection method based on the MEMS technology, in this example, the steps of the all-optical-path-routing intelligent communication switching protection method based on the MEMS technology include:

The embodiment of the invention collects the optical signal data by the MEMS sensor of the all-optical route, the data comprise the optical signal data from different node channels, the acquired optical signal data are processed to separate and analyze the optical pulse characteristics and the spectrum components thereof, the time characteristics (such as duration and pulse width) and the spectrum properties (such as peak value, passing wavelength and intensity) of the optical signal are studied in detail, and the node optical signal data are processed by extracting the optical pulse time characteristic data and the optical signal spectrogram of the complete spectrum characteristics.

The embodiment of the invention identifies potential optical signal anomalies and interference signals by determining wavelength peaks in a spectrum through peak analysis, determines the frequency range covered by the optical signal by evaluating the bandwidth coverage of the spectrum, and can evaluate the spectrogram of the optical signal by combining wavelength peak data and frequency range information so as to detect the degree of the influence of the anomalies on the optical signal communication.

The embodiment of the invention comprises the steps of preprocessing optical pulse time characteristic data, removing noise and abnormal values, carrying out full-width measurement analysis on the optical pulse time characteristic data subjected to denoising processing to obtain optical pulse width data, carrying out segmentation processing on the optical pulse time characteristic data, carrying out pulse repetition frequency analysis on each segment to obtain pulse repetition frequency, carrying out time domain waveform construction on the optical pulse width data and the pulse repetition frequency data by using a software tool Python, carrying out time delay analysis on node optical signal data based on the optical time domain waveform, carrying out reflection curve construction processing to obtain an optical signal reflection curve, and carrying out abnormal communication characteristic data set construction on the optical signal reflection curve based on an optical signal spectrogram, thereby evaluating abnormal communication of the data set.

According to the embodiment of the invention, the spectral reflection frequency chart is generated by carrying out image fitting processing on the communication frequency chart, the spectral reflection anomaly fusion index can be calculated according to the communication influence data of the spectral reflection anomaly and the optical signal reflection anomaly by analyzing the spectral reflection frequency chart, and the channel is analyzed by considering the data of the all-optical routing node, including the flow, the distance and the network topology, so that the influence of the anomaly communication is used, and the channel switching strategy under the anomaly condition is formulated.

Preferably, step S1 comprises the steps of:

The embodiment of the invention acquires the topology structure information of the all-optical route, including the connection relation and the node type of the network node, then identifies each communication node according to the communication protocol and the routing rule, and combines the identified communication node information with the topology structure information of the all-optical route by using the IP address, the MAC address and the unique identifier to obtain the node information of the all-optical route.

The embodiment of the invention collects the optical signals of all-optical routing nodes in real time by using the MEMS sensor comprising the photosensitive sensor, stores the collected optical signal data in a digital signal form, and performs data preprocessing.

The embodiment of the invention recognizes and analyzes the light pulse characteristics by using digital signal processing technology such as threshold detection, edge detection and pulse counting, and performs light pulse time characteristic analysis on the collected node light signal data to obtain characteristic data mainly comprising pulse width, pulse rising edge time, falling edge time and pulse repetition frequency parameters, and classifies and gathers the obtained data parameters to obtain the light pulse time characteristic data.

according to the embodiment of the invention, the collected node optical signal data is subjected to spectral diagram analysis, and the time domain signals are converted into the frequency domain signals by utilizing Fourier transformation or other frequency spectrum analysis methods to obtain the spectral diagrams of the optical signals, wherein the spectral diagrams can reflect the frequency characteristics of the optical signals, such as center frequency, bandwidth and signal strength.

The embodiment of the invention deduces the communication frequency of the node optical signal by combining the optical pulse time characteristic data and the optical signal spectrogram, for example, the communication frequency can be determined by analyzing the repetition frequency of the optical pulse and the center frequency of the spectrogram, and the communication frequency information is presented in the form of an image to obtain the communication frequency chart.

Preferably, step S15 comprises the steps of:

According to the embodiment of the invention, the optical pulse time characteristic data is imported into analysis software, fourier transformation is selected to carry out a phase analysis method, preprocessing is carried out on the optical pulse time characteristic data, noise reduction and trend removal are included, phase analysis is carried out on the preprocessed data, the optical pulse time characteristic data is converted into an optical pulse phase spectrum, wherein an abscissa represents time or frequency, and an ordinate represents a phase value.

The embodiment of the invention introduces the optical pulse phase spectrum into analysis software, selects a frequency analysis method of power spectrum density analysis, preprocesses the optical pulse phase spectrum, such as smoothing and denoising, and performs frequency analysis on the preprocessed data to obtain the repetition frequency of the optical pulse, namely, the frequency value with the highest occurrence frequency in the optical pulse phase spectrum and the repetition period of the optical pulse.

According to the embodiment of the invention, the optical signal spectrum diagram is subjected to Fourier transformation, data preprocessing is performed according to the Fourier transformation requirement, the preprocessed data is subjected to optical signal spectrum frequency analysis, the optical signal spectrum frequency corresponds to the peak frequency in the spectrum diagram, the peak detection is performed by using a Gaussian fitting method, and the peak frequency in the spectrum diagram is accurately identified, so that the optical signal spectrum frequency is obtained.

the embodiment of the invention judges the modulation mode of the optical signal by analyzing the relation between the optical pulse repetition frequency and the optical signal spectrum frequency, wherein the modulation mode comprises intensity modulation, and for the intensity modulation, the communication frequency generally corresponds to the frequency multiplication and the sideband frequency of the optical pulse repetition frequency, and the extracted communication frequency information is recorded and used as the optical signal communication frequency data.

According to the embodiment of the invention, the optical signal communication frequency data are arranged and ordered in an ascending order according to the frequency, the ordered communication frequency data are drawn into a frequency chart, the abscissa is frequency, the ordinate is signal strength or power of the corresponding frequency, and the format adjustment, labeling and optimization are carried out on the frequency chart.

Preferably, step S2 comprises the steps of:

As an embodiment of the present invention, referring to fig. 2, a detailed step flow chart of step S2 in fig. 1 is shown, in which step S2 includes the following steps:

According to the embodiment of the invention, the node optical signal data is obtained by utilizing a spectrometer, the intensity information of the optical signal on different wavelengths is contained, the optical signal wavelength range is divided into a plurality of frequency bands based on spectrogram characteristic extraction, the optical signal data is divided into different wavelength intervals according to the divided frequency bands, and the optical signal data in each interval is extracted to obtain the optical signal wavelength characteristic data.

According to the embodiment of the invention, the original optical signal data is used as an abscissa of wavelength and an ordinate of optical power, the optical signal spectrogram is drawn, on the optical signal spectrogram, each wavelength characteristic interval is marked with different colors or lines according to the wavelength intervals divided by the wavelength characteristics of the optical signal, and the marked optical signal spectrogram is stored as the wavelength characteristic spectrogram.

In the embodiment of the invention, the peak value detection is carried out on the wavelength characteristic spectrogram by applying a Gaussian fitting method, the peak value point in each wavelength characteristic interval is identified, and the wavelength of each peak value point and the corresponding optical power value are recorded as wavelength spectrum peak value data.

According to the embodiment of the invention, an optical power threshold is set according to the noise level or other indexes and is used for distinguishing signals from noise, a wavelength range boundary with the optical power larger than the set threshold is found on an optical signal spectrogram, and the wavelength range boundary is converted into a corresponding frequency range, so that the data of the frequency range covered by the optical signal is obtained.

according to the embodiment of the invention, the number of peaks, the peak power range and the spectrum shape characteristics in each wavelength characteristic interval are defined according to historical data and standard specifications, a normal spectrum model is established, the wavelength spectrum peak data of the current optical signal and the frequency range data covered by the optical signal are compared with the normal spectrum model, when new peaks, the peak power exceeding the normal range and the spectrum shape are distorted, abnormal characteristics deviating from the normal model are identified, and the spectrum data corresponding to the identified spectrum abnormal characteristics are extracted to be used as abnormal spectrum data of the optical signal.

According to the embodiment of the invention, the reason of the spectrum abnormality is analyzed according to the characteristics of the abnormal spectrum data of the optical signal and the structure and the working principle of the optical transmission system, the influence of the spectrum abnormality on the communication performance which causes the increase of the bit error rate and the shortening of the transmission distance is evaluated according to the reason of the abnormality and the spectrum abnormality degree, the influence of the spectrum abnormality on the communication performance is quantized into specific indexes, and the data integration is carried out to obtain the spectrum abnormality communication influence data.

Preferably, step S25 comprises the steps of:

According to the embodiment of the invention, the optical power value corresponding to each peak is analyzed according to the wavelength spectrum peak value data, the peaks are ordered according to the power value from high to low, the main peak discrimination threshold is set according to various optical signal information data characteristics in actual all-optical-path communication, and the wavelength corresponding to the peak meeting the main peak discrimination threshold is selected as spectrum main wavelength data.

In the embodiment of the invention, a wavelength range is set as a side peak analysis range by taking a spectrum main wavelength as a center, other peaks except a main wavelength peak are identified in the side peak analysis range, the peaks are potential abnormal side peaks, whether the identified side peaks are abnormal side peaks is judged according to a side peak judgment standard of a preset side peak power threshold, and wavelength and power information of the abnormal side peaks are recorded as abnormal side peak data.

According to the embodiment of the invention, the influence of noise on an analysis result is reduced by using a moving average filter to smooth the spectrogram of the optical signal, a noise threshold is set according to the overall trend and the noise level of the spectrogram, the noise threshold is used for distinguishing signals from noise, a frequency range with the power of the spectrogram lower than the noise threshold is identified, and the frequency range is used as noise coverage frequency range data.

According to the embodiment of the invention, the noise frequency range exceeding the normal optical signal coverage range is identified by comparing the optical signal coverage frequency range data with the noise coverage frequency range data, and the noise frequency range exceeding the normal optical signal coverage range is identified as abnormal noise, and the frequency range and the power information corresponding to the abnormal noise are extracted as noise abnormal spectrum data.

According to the embodiment of the invention, the abnormal side peak data and the noise abnormal spectrum data are integrated to obtain the data set containing all abnormal spectrum information, the abnormal spectrum data are fitted to obtain the fitting curve describing the abnormal spectrum characteristics, and the spectrum data corresponding to the fitting curve are extracted to obtain the abnormal spectrum data of the optical signal.

Preferably, step S26 includes the steps of:

In the embodiment of the invention, the peak value with the power obviously higher than the surrounding noise level is identified as the abnormal side peak in the abnormal spectrum data of the optical signal, and the center wavelength, the peak power and the bandwidth information of each abnormal side peak are recorded as the abnormal spectrum side peak data.

According to the embodiment of the invention, an optical fiber dispersion model is established according to parameters such as the type, the length and the like of an optical fiber, the model describes the dispersion characteristics of optical signals with different wavelengths when the optical signals are transmitted in the optical fiber, the group velocity dispersion of each abnormal side peak is calculated based on the dispersion model and the central wavelength information in the abnormal spectrum side peak data so as to represent a corresponding dispersion value, and the central wavelength, the peak power and the corresponding dispersion value of each abnormal side peak are integrated together to form abnormal communication spectrum dispersion data.

According to the embodiment of the invention, the broadening effect of each abnormal side peak on the optical pulse is calculated based on the dispersion value in the abnormal communication spectral dispersion data, the signal-to-noise ratio loss caused by each abnormal side peak is calculated according to the pulse broadening effect and by combining the parameters such as the receiver bandwidth of an optical communication system, and the signal-to-noise ratio loss of each abnormal side peak and the peak power of the signal-to-noise ratio loss are weighted and averaged to obtain the abnormal dispersion signal-to-noise ratio comprehensively considering the influence of all the abnormal side peaks.

According to the embodiment of the invention, the noise part except for the abnormal side peak in the abnormal spectrum data of the optical signal is integrated to obtain the total noise power, the main peak power of the optical signal is compared with the total noise power, and the signal-to-noise ratio of the optical signal is obtained through calculation.

According to the embodiment of the invention, the error rate model of the BER curve model is selected according to the parameters such as the modulation format, the coding mode and the like of the optical communication system, and the abnormal dispersion signal-to-noise ratio and noise signal-to-noise ratio data are substituted into the error rate model, so that the error rate of the optical communication system is calculated.

According to the embodiment of the invention, the calculated error rate is compared with the error rate influence data degree of the optical communication system, the communication quality degradation interval caused by the spectrum abnormality is judged, and the influence degree of the spectrum abnormality on the communication quality is analyzed and quantized according to the error rate influence data degree, so that the spectrum abnormality communication influence data is obtained.

Preferably, step S3 comprises the steps of:

As an embodiment of the present invention, referring to fig. 2, a detailed step flow chart of step S3 in fig. 1 is shown, in which step S3 includes the following steps:

according to the embodiment of the invention, the starting points of the rising edge and the falling edge of the pulse are found by analyzing the time characteristic data of the light pulse, the starting points can be set to be threshold points exceeding a certain proportion of the noise level, and the duration time, namely the pulse width, of the pulse is calculated according to the identified starting points of the rising edge and the falling edge of the pulse.

The embodiment of the invention identifies the periodically-occurring pulse sequence in the light pulse time characteristic data. The time interval between adjacent pulses is measured, and the pulse repetition frequency is the inverse of the pulse interval and represents the number of pulses occurring per unit time.

According to the embodiment of the invention, the pulse sequence which is uniformly distributed on the time axis is generated according to the pulse repetition frequency, the function is selected to simulate the pulse shape according to the shape of the actual light pulse, the simulated pulse shape comprises a Gaussian function and a rectangular function, the simulated pulse shape is scaled according to the obtained pulse width, and the pulse sequence is filled in the corresponding time point of the pulse sequence, so that the complete light time domain waveform is formed.

According to the embodiment of the invention, the optical time domain waveform and the node optical signal data are subjected to time domain convolution operation, the convolution result reflects the reflection condition of the optical signal on a transmission path, reflection is identified according to information such as peak position, intensity and the like, time is taken as an abscissa, and the intensity of the reflected signal is taken as an ordinate, so that an optical signal reflection curve is drawn.

According to the embodiment of the invention, reflection peaks exceeding a preset threshold are identified in the optical signal reflection curve, the peaks represent abnormal reflection events, spectral information related to corresponding time points in the optical signal spectrogram is related according to the occurrence time of the reflection peaks, and the influence of the reflection events on communication quality is evaluated according to the reflection peak intensity, the reflection wavelength range and parameters of an optical communication system, wherein the influence comprises signal distortion, power loss and bit error rate increase, and the evaluation result is quantized into specific indexes to form optical signal reflection abnormal communication influence data.

Preferably, step S34 includes the steps of:

According to the embodiment of the invention, the characteristic information of each node in the optical fiber link, such as the node type and the node position, is identified by analyzing the node optical signal data, and the identified node characteristic information is extracted to form the optical fiber node data.

According to the embodiment of the invention, the signal segments at the corresponding nodes are intercepted from the original optical signal data according to the node position information in the optical fiber node data, and are subjected to spectrum analysis to obtain the optical signal spectrum at the nodes, and the peak value of the optical signal spectrum of the nodes is detected to identify main frequency components.

According to the embodiment of the invention, the time window in which the reflected signal appears at each node is calculated by combining the transmission speed of the optical signal in the optical fiber according to the node position information in the optical fiber node data, and in the optical time domain waveform, the signal segment in the time window corresponding to each node is intercepted, and the signal segment contains the reflected signal information at the node.

According to the embodiment of the invention, the influence of background noise is removed by carrying out low-pass filtering processing on the reflected signal data, and peak detection is carried out on the filtered reflected signal data to obtain the reflected signal intensity value at each node.

According to the embodiment of the invention, the length of the optical fiber link or the node position is taken as an abscissa, the intensity of the reflected signal is taken as an ordinate, an optical signal reflection curve coordinate system is established, corresponding points are drawn in the coordinate system according to the node position information in the optical fiber node data, and the adjacent reflection points are connected by using a smooth curve or a broken line to form a complete optical signal reflection curve.

Preferably, step S35 includes the steps of:

According to the embodiment of the invention, the whole spectrum range is divided into a plurality of sections according to the characteristics of the optical signal spectrogram by dividing according to the wavelength, the total reflection signal intensity of all reflection points in each section is calculated for each spectrum section, the reflection intensity value of the section is used as the reflection intensity value of the section, the spectrum section is used as the abscissa, and the reflection intensity value is used as the ordinate, so that the reflection intensity spectrogram is drawn.

According to the embodiment of the invention, the main peak value with higher power is identified in the reflection intensity spectrogram, the main peak value is compared with the reflection intensity spectrogram under the normal condition, the power reduction amplitude of each main peak value is calculated, and each main peak value frequency and the corresponding power reduction amplitude are recorded to form abnormal peak value reduction data.

in the embodiment of the invention, the main peak value with higher power is identified in the reflection intensity spectrogram, the current reflection intensity spectrogram is compared with the reference spectrogram, the newly added reflection peak value is identified, and the frequency, the peak power and the occurrence position information of each newly added peak value are recorded to form abnormal reflection peak increment data.

According to the embodiment of the invention, the reflected intensity spectrogram is subjected to Fourier transformation, the reflected intensity spectrogram is converted from a frequency domain to a time domain, the periodic information of a reflected signal is obtained, the peak value exceeding a preset threshold value is identified in the transformed spectrogram, and the information such as the frequency, the amplitude and the like corresponding to each abnormal period peak value is recorded to form abnormal reflection period data.

according to the embodiment of the invention, the obtained abnormal peak amplitude reduction data, abnormal reflection peak increment data and abnormal reflection period data are integrated to form a data set containing all abnormal reflection information.

According to the embodiment of the invention, the signal power loss caused by reflection in each frequency spectrum interval is calculated according to the peak amplitude reduction data in the abnormal reflection data set, and the power loss of each frequency spectrum interval is accumulated to obtain the total light signal flux variation.

According to the embodiment of the invention, the optical signal flux variation is subjected to correlation analysis with parameters such as receiver sensitivity, error rate requirement and the like of an optical communication system, the error rate exceeding of the optical signal flux variation and the signal interruption times are judged, and the abnormal influence communication evaluation analysis is performed to obtain the optical signal reflection abnormal communication influence data.

Preferably, step S4 comprises the steps of:

According to the embodiment of the invention, the spectral abnormal communication influence data and the optical signal reflection abnormal communication influence data are respectively mapped to the frequency points corresponding to the communication frequency chart to form two new data layers, and the two data layers are fused together by selecting a weighted average method to generate a new image, namely the spectral reflection frequency chart.

According to the embodiment of the invention, the spectral reflection frequency chart is analyzed, the characteristic parameters capable of reflecting the degree of abnormality, including peak intensity, peak width, peak area and frequency offset data, are extracted, the extracted characteristic parameters are subjected to standardization processing, and a plurality of standardized characteristic parameters are fused into a comprehensive index, namely a spectral reflection fusion index.

according to the embodiment of the invention, a threshold value is set according to the characteristics and practical experience of the spectrum reflection frequency chart, so that normal and abnormal areas are distinguished, the areas exceeding the threshold value in the spectrum reflection frequency chart are identified, the areas are spectrum reflection abnormal influence areas, and the frequency range and the abnormality degree information corresponding to each abnormal area are recorded.

According to the embodiment of the invention, the abnormal interval weight is given by weighting the spectral reflection fusion index according to the frequency range and the abnormal degree of the spectral reflection abnormal influence interval, and the abnormal degree corresponding to each frequency point is calculated according to the weighted spectral reflection fusion index to obtain the spectral reflection abnormal fusion index.

according to the embodiment of the invention, the spectral reflection anomaly fusion index is associated to the all-optical path node data, the number and the anomaly degree of the anomaly frequency points associated with each node are counted, the anomaly degree of each node is estimated, and the node with the anomaly degree exceeding the preset threshold is identified and used as the all-optical path anomaly node.

According to the embodiment of the invention, the influence of the abnormal node on the optical path and the service flow is analyzed according to the all-optical path abnormal node data, and different channel switching strategies are evaluated according to the influence range and the network resource condition, including bypassing the abnormal node and switching to a standby optical path, and the abnormal channel switching strategy with the least influence on the signal communication is selected.

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An all-optical routing intelligent communication switching protection method based on MEMS technology, characterized in that it includes the following steps:

Step S1: performing optical signal data acquisition and processing on the all-optical routing through a MEMS sensor to obtain node optical signal data; performing optical pulse characteristics and spectrum analysis on the node optical signal data to obtain optical pulse time characteristic data and an optical signal spectrum diagram; performing communication frequency analysis on the node optical signal data based on the optical pulse time characteristic data and the optical signal spectrum diagram to obtain a communication frequency diagram;

Step S2: Based on the node optical signal data, a peak analysis is performed on the optical signal spectrum to obtain wavelength spectrum peak data; a spectrum bandwidth coverage analysis is performed on the optical signal spectrum to obtain optical signal coverage frequency range data; based on the wavelength spectrum peak data and the optical signal coverage frequency range data, an abnormal impact communication evaluation analysis is performed on the optical signal spectrum to obtain spectrum abnormality communication impact data;

Step S3: constructing a time domain waveform for the optical pulse time characteristic data to obtain an optical time domain waveform; constructing a reflection curve for the node optical signal data based on the optical time domain waveform to obtain an optical signal reflection curve; and evaluating and analyzing the abnormal impact of the optical signal reflection curve on communication based on the optical signal spectrum to obtain optical signal reflection abnormality communication impact data;

Step S4: Based on the spectral abnormal communication impact data and the optical signal reflection abnormal communication impact data, the communication frequency map is subjected to image fitting processing to obtain a spectral reflection frequency map; the spectral reflection frequency map is subjected to spectral reflection anomaly fusion index analysis to obtain a spectral reflection anomaly fusion index; based on the spectral reflection anomaly fusion index and the all-optical routing node data, an abnormal communication strategy analysis is performed on the all-optical routing to obtain an abnormal channel switching processing strategy.

2. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 1 is characterized in that step S1 comprises the following steps:

Step S11: performing communication node identification processing on the all-optical routing to obtain an all-optical routing node;

Step S12: performing optical signal data acquisition processing on the all-optical routing node through the MEMS sensor to obtain the node optical signal data;

Step S13: performing optical pulse time characteristic analysis on the node optical signal data to obtain optical pulse time characteristic data;

Step S14: performing spectrum analysis on the node optical signal data to obtain an optical signal spectrum graph;

Step S15: Perform communication frequency analysis on the node optical signal data based on the optical pulse time characteristic data and the optical signal spectrum diagram to obtain a communication frequency diagram.

3. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 2, characterized in that step S15 comprises the following steps:

Step S151: performing optical phase analysis on the optical pulse time characteristic data to obtain an optical pulse phase spectrum;

Step S152: performing optical pulse repetition frequency analysis on the optical pulse phase spectrum to obtain the optical pulse repetition frequency;

Step S153: performing frequency analysis on the optical signal spectrum to obtain the optical signal spectrum frequency;

Step S154: performing communication frequency analysis on the node optical signal data based on the optical pulse repetition frequency and the optical signal spectrum frequency to obtain optical signal communication frequency data;

Step S155: Perform frequency mapping processing on the optical signal communication frequency data to obtain an optical signal communication frequency map.

4. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 1, characterized in that step S2 comprises the following steps:

Step S21: dividing the node optical signal data by wavelength characteristics to obtain optical signal wavelength characteristic data;

Step S22: Analyze the optical signal spectrum based on the optical signal wavelength characteristic data to obtain a wavelength characteristic spectrum;

Step S23: performing peak analysis on the wavelength characteristic spectrum to obtain wavelength spectrum peak data;

Step S24: performing spectrum bandwidth coverage analysis on the optical signal spectrum diagram to obtain frequency range data covered by the optical signal;

Step S25: performing a spectrum abnormality analysis on the optical signal spectrum based on the wavelength spectrum peak data and the optical signal coverage frequency range data to obtain optical signal abnormal spectrum data;

Step S26: performing abnormal impact analysis on the optical signal abnormal spectrum data to obtain abnormal spectrum communication impact data.

5. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 3, characterized in that step S25 comprises the following steps:

Step S251: performing main wavelength identification processing on the optical signal spectrum diagram based on the wavelength spectrum peak data to obtain main wavelength data of the spectrum;

Step S252: performing abnormal side peak analysis on the optical signal spectrum based on the main wavelength data of the spectrum to obtain abnormal side peak data;

Step S253: performing abnormal noise spectrum bandwidth analysis on the optical signal spectrum to obtain noise coverage frequency range data;

Step S254: performing a benchmark comparison process on the noise coverage frequency range data based on the optical signal coverage frequency range data to obtain noise abnormal spectrum data;

Step S255: fitting the abnormal side peak data and the noise abnormal spectrum data to obtain the optical signal abnormal spectrum data.

6. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 4, characterized in that step S26 comprises the following steps:

Step S261: performing abnormal side peak analysis on the abnormal spectrum data of the optical signal to obtain abnormal spectrum side peak data;

Step S262: performing abnormal communication dispersion analysis on the abnormal spectrum side peak data to obtain abnormal communication spectrum dispersion data;

Step S263: performing communication signal-to-noise impact analysis on the abnormal communication spectrum dispersion data to obtain an abnormal dispersion signal-to-noise ratio;

Step S264: performing noise communication signal-to-noise impact analysis on the optical signal abnormal spectrum data to obtain noise signal-to-noise ratio data;

Step S265: performing bit error rate analysis based on abnormal dispersion signal-to-noise ratio and noise signal-to-noise ratio data to obtain communication bit error rate data;

Step S266: performing communication impact assessment processing on the communication bit error rate data to obtain spectrum abnormality communication impact data.

7. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 1, characterized in that step S3 comprises the following steps:

Step S31: performing full width measurement analysis on the optical pulse time characteristic data to obtain optical pulse width data;

Step S32: performing pulse repetition frequency analysis on the light pulse time characteristic data to obtain the pulse repetition frequency;

Step S33: constructing a time domain waveform for the optical pulse width data and the pulse repetition frequency to obtain an optical time domain waveform;

Step S34: constructing a reflection curve for the node optical signal data based on the optical time domain waveform to obtain an optical signal reflection curve;

Step S35: Based on the optical signal spectrum diagram, an optical signal reflection curve is evaluated and analyzed for the impact of abnormality on communication, and communication impact data of abnormal optical signal reflection is obtained.

8. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 7, characterized in that step S34 comprises the following steps:

Step S341: Perform fiber node analysis on the node optical signal data to obtain fiber node data;

Step S342: Perform node optical signal frequency analysis on the optical fiber node data to obtain the node optical signal frequency;

Step S343: performing reflection signal capture processing on the optical fiber node data based on the optical time domain waveform to obtain reflection signal data;

Step S344: performing reflection signal strength analysis on the reflection signal data to obtain reflection signal strength;

Step S345: Perform curve construction processing on the node optical signal data based on the node optical signal frequency and the reflected signal strength to obtain an optical signal reflection curve.

9. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 7, characterized in that step S35 comprises the following steps:

Step S351: performing reflection intensity spectrum analysis on the light signal reflection curve based on the light signal spectrum diagram to obtain a reflection intensity spectrum diagram;

Step S352: performing abnormal peak drop analysis on the reflection intensity spectrum to obtain abnormal peak drop data;

Step S353: performing abnormal reflection peak increment analysis on the reflection intensity spectrum to obtain abnormal reflection peak increment data;

Step S354: performing abnormal reflection period analysis on the reflection intensity spectrum to obtain abnormal reflection period data;

Step S355: performing abnormal communication data set processing on the abnormal peak value decrease data, the abnormal reflection peak increment data and the abnormal reflection period data to obtain an abnormal reflection data set;

Step S356: analyzing the influence of the abnormal reflection data set on the optical signal flux to obtain optical signal flux influence data;

Step S357: Perform abnormal impact communication evaluation analysis on the optical signal flux impact data to obtain optical signal reflection abnormality communication impact data.

10. The all-optical routing intelligent communication switching protection method based on MEMS technology according to claim 1, characterized in that step S4 comprises the following steps:

Step S41: performing image fitting processing on the communication frequency graph based on the spectrum abnormality communication impact data and the optical signal reflection abnormality communication impact data to obtain a spectrum reflection frequency graph;

Step S42: performing feature analysis and indexation processing on the spectral reflection frequency graph to obtain a spectral reflection fusion index;

Step S43: analyzing the abnormality-affected communication interval on the spectrum reflection frequency diagram to obtain the spectrum reflection abnormality-affected interval;

Step S44: performing covariance analysis on the spectral reflectance fusion index based on the spectral reflectance anomaly influence interval to obtain the spectral reflectance anomaly fusion index;

Step S45: performing abnormal node identification processing on the all-optical routing node data based on the spectral reflection abnormal fusion index to obtain the all-optical routing abnormal node data;

Step S46: performing abnormal communication strategy analysis on the all-optical routing based on the abnormal node data of the all-optical routing to obtain an abnormal channel switching processing strategy.