Conversion interface method and system based on MEMS optical fiber matrix switch transmission device

Abstract

The present invention relates to the field of image communication, and in particular to a conversion interface method and system based on a MEMS fiber optic matrix switch transmission device. The method comprises the following steps: using a MEMS fiber optic matrix switch transmission device to obtain image data and a light reflection simulation pixel reflection spectrum diagram to generate an image wavelength sequence; transmitting the image wavelength sequence after the electrical signal is converted to obtain image optical signal transmission data; analyzing the pixel reflection spectrum diagram and the image optical signal transmission data to obtain an optical power ratio constant, and making an abnormal judgment according to a preset threshold to obtain an evaluation result; if the optical power ratio constant is lower than the preset threshold, no processing is performed, otherwise, the MEMS fiber optic matrix switch transmission device is subjected to channel interface switching processing to obtain a transmission device channel interface conversion result. The present invention quickly locates the erroneous image through the image wavelength sequence to achieve intelligent interface switching.

Description

Technical Field

[0001] The present invention relates to the field of image communication, and in particular to a conversion interface method and system based on a MEMS optical fiber matrix switch transmission device. Background Art

[0002] Fiber optic switching equipment plays an important role in communication transmission. Compared with traditional metal material transmission lines, it overcomes the problems of narrow bandwidth, large attenuation and insufficient anti-interference ability. Fiber optic switching equipment can use optical fiber networks to achieve high-speed and low-latency optical signal conversion and routing. In particular, the method of conversion interface based on MEMS fiber optic matrix switch transmission device has the advantages of low loss and high efficiency, flexible and scalable, low latency and high bandwidth; however, for traditional image communication, due to the complexity of data conversion at the interface and the communication channel during communication, data noise images will appear at the receiving end, which will affect the clarity and accuracy of the image information. For abnormal image transmission, it is impossible to quickly and intelligently locate the data transmission channel interface that generates transmission noise, and there is a problem of consuming communication resources for the overall retransmission of abnormal images. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a conversion interface method and system based on a MEMS optical fiber matrix switch transmission device to solve at least one of the above technical problems.

[0004] To achieve the above object, a conversion interface method based on a MEMS optical fiber matrix switch transmission device comprises the following steps:

[0005] Step S1: acquiring image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; performing image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; performing image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence;

[0006] Step S2: Based on the pixel reflection spectrum, the input image data and the image wavelength sequence are converted into a sequence electrical signal to obtain a sequence image electrical signal; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signal is transmitted as an optical signal to obtain image optical signal transmission data;

[0007] Step S3: performing optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain an optical power ratio constant; performing abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio abnormality assessment result;

[0008] Step S4: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, the channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data to obtain the channel interface conversion result of the transmission device.

[0009] The present invention constructs a pixel reflection spectrum diagram of the image by performing image light reflection simulation processing on the image data obtained by the MEMS fiber optic matrix switch transmission device, which is beneficial to mapping the image information from the traditional pixel brightness value domain to the light reflection spectrum domain, laying the foundation for the subsequent use of optical signals to transmit the image information; by analyzing the pixel reflection spectrum diagram, the reflection characteristics of the pixel points under the irradiation of light of different wavelengths are extracted, so as to convert the image information into wavelength sequence information that can be carried by the optical signal; through the sequence electrical signal conversion technology, the processed image wavelength sequence data is converted into the corresponding electrical signal. The conversion technology ensures the accuracy of the image data and effectively associates the electrical signal with the optical signal. By utilizing the advantages of the MEMS fiber optic matrix switch transmission device, the sequence image electrical signals are transmitted as optical signals, which can improve Transmission efficiency and quality of image data; by analyzing the optical power ratio constant of the pixel reflection spectrum and the image optical signal transmission data, the quality and integrity of the optical signal can be effectively evaluated. By comparing the actual optical power ratio with the preset abnormal threshold, the abnormal situation can be discovered and identified in time, and the data transmission channel interface that generates transmission noise can be quickly and intelligently located, and the data transmission channel interface that generates transmission noise can be quickly and intelligently located to ensure the image transmission quality. It can effectively guarantee the accuracy and reliability of image data and avoid the adverse effects of abnormal optical power ratio on subsequent processing and analysis; when the optical power ratio evaluation result is abnormal, the channel interface switching processing of the MEMS optical fiber matrix switch transmission device can effectively avoid the image transmission quality being affected by the abnormal optical power ratio. By switching the channel interface, the abnormal image is abnormally located and transmitted in blocks, and the optimal transmission path can be selected or the damaged channel can be avoided to reduce the problem of consuming communication resources for the overall retransmission of the abnormal image, and also ensure the transmission quality and integrity of the image data, and improve the flexibility and fault tolerance of image transmission.

[0010] Preferably, step S1 comprises the following steps:

[0011] Step S11: performing input interface data acquisition processing on the MEMS optical fiber matrix switch transmission device to obtain a data set to be input;

[0012] Step S12: acquiring image data from the input data set to obtain image data to be input;

[0013] Step S13: performing region division processing on the input image data to obtain image region division data;

[0014] Step S14: sequentially dividing the input image data into blocks based on the image region division data to obtain block image data;

[0015] Step S15: performing image light reflection simulation processing on the block image data to obtain a pixel reflection spectrum diagram;

[0016] Step S16: constructing a wavelength sequence for the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence.

[0017] The present invention obtains and processes the input interface data of the MEMS fiber optic matrix switch transmission device to prepare for subsequent image data processing, can identify valid data segments containing image information, and eliminate irrelevant data, thereby improving the efficiency of subsequent processing; extracts image data from the data set to be input, and identifies the characteristics and patterns of the image data by processing and analyzing the data set, thereby effectively separating and acquiring the image data, which is beneficial to providing a reliable data basis for subsequent image processing steps; divides the complex image into simple areas by regional division of the image data, which helps to improve the efficiency of subsequent processing, and optimizes the processing according to the characteristics of different areas. Regional division is also beneficial to identifying important information and features in the image; by dividing the image data into different areas, the image data can be divided into different areas, and the image data can be divided into different areas, which is beneficial to identifying important information and features in the image. Divide into multiple small blocks to break up large images into smaller and easier-to-manage parts. Block processing can improve the parallelism and efficiency of image processing. Processing multiple blocks at the same time is also conducive to identifying local features and details in the image, providing more detailed information for further analysis and understanding of the image content; obtain a unique pixel reflection spectrum map, which contains the key characteristic information color of the image. By simulating the light reflection characteristics, important visual information in the image is extracted, providing basic data for subsequent wavelength sequence construction and transmission optimization; construct an image wavelength sequence corresponding to the entire image. The image wavelength sequence contains all the image information and is represented in the form of an optical signal, providing a transmission basis for the subsequent use of optical fiber communication technology for high-speed, high-quality image transmission.

[0018] Preferably, step S15 comprises the following steps:

[0019] Step S151: performing color gamut division processing on the block image data to obtain the block image color gamut data;

[0020] Step S152: performing image light reflection simulation processing on the block image data to obtain block image light reflection simulation data;

[0021] Step S153: performing graphic pixel chromaticity classification processing on the block image color gamut data to obtain image pixel chromaticity data;

[0022] Step S154: performing spectral wavelength analysis on the block image light reflection simulation data to obtain pixel reflection wavelength data;

[0023] Step S155: Draw a pixel reflection spectrum diagram for the divided image data based on the image pixel chromaticity data and the pixel reflection wavelength data to obtain a pixel reflection spectrum diagram.

[0024] The present invention performs color gamut division processing on the block image data, with the purpose of classifying the pixels with similar colors in the image block together to form different color areas, which is conducive to the subsequent targeted light reflection simulation according to the characteristics of different color areas, and improves the simulation accuracy and efficiency; obtains the light reflection simulation data of the block image, considers the refraction, reflection and scattering when the light interacts with the object, and simulates the light reflection characteristics. The simulation data thus generated contains the key visual information of the block image, which provides a basis for the subsequent graphic pixel chromaticity classification and spectral wavelength analysis; the graphic pixel chromaticity classification processing is the process of performing chromaticity analysis and classification on the pixel points of the block image color gamut data. Through this processing, different chromaticity areas in the image are identified and divided. Determining the distribution and proportion of different colors in the image is conducive to extracting the color characteristics and information of the image, and providing color-related data support for image analysis and processing; through spectral wavelength analysis to obtain detailed wavelength distribution information of the reflection spectrum of each pixel, the reflection intensity and characteristics of the block image at different wavelengths are extracted, and through spectral wavelength analysis, the wavelength-related features and details in the image are identified, providing detailed data support for the subsequent drawing of pixel reflection spectrum diagrams; this step integrates the image pixel chromaticity data and pixel reflection wavelength data, and intuitively displays the color information and light reflection characteristics of each pixel in a graphical manner. The construction of the pixel reflection spectrum diagram provides an important data basis for the subsequent use of optical signals for image information transmission and processing.

[0025] Preferably, step S16 comprises the following steps:

[0026] Step S161: performing interval wavelength sampling processing on the pixel reflection spectrum to obtain the pixel spectrum sampling wavelength;

[0027] Step S162: performing pixel chromaticity correlation processing on the pixel spectrum sampling wavelength to obtain sampling wavelength-correlated chromaticity data;

[0028] Step S163: quantizing the chromaticity data associated with the sampling wavelength to obtain the chromaticity value of the sampling wavelength;

[0029] Step S164: performing block sequence analysis on the input image data to obtain an image block sequence;

[0030] Step S165: performing sequential fitting processing on the image block sequence based on the sampled wavelength chromaticity values ​​to obtain an image wavelength sequence.

[0031] The present invention selects specific interval wavelengths in the spectrum as sampling points to reduce the amount of data while retaining the key feature information of the spectrum, so as to improve the efficiency of subsequent processing. Only a small part of the data needs to be processed instead of the complete spectrum. At the same time, interval wavelength sampling is also conducive to extracting the overall trend and characteristics of the spectrum. Each sampling wavelength has corresponding reflection intensity and color information. Through this processing, the relationship between different wavelengths and different colors can be determined. This association processing is conducive to understanding and converting the information between color and wavelength, and provides basic data for subsequent colorimetric quantification and image processing. Colorimetric quantification is to associate the sampling wavelength with the colorimetric data. The process of row quantization discretizes continuous chromaticity values ​​into a finite number of discrete chromaticity values ​​to simplify data representation and facilitate subsequent processing and storage. Chromaticity quantization can reduce the amount of data and improve processing efficiency. Chromaticity quantization can also ensure color accuracy and facilitate control and adjustment of color accuracy; determine the position and order of each image block in the entire image, and obtain the image block sequence, which provides a basis for subsequently splicing the wavelength information of each image block into a complete image wavelength sequence in the correct order; splice the sampled wavelength chromaticity values ​​corresponding to each image block in the correct order to form a wavelength sequence containing the color information of the entire image. The construction of the image wavelength sequence lays the foundation for the subsequent use of optical signals for image information transmission and processing.

[0032] Preferably, step S2 comprises the following steps:

[0033] Step S21: converting the input image data into electrical signal data to obtain image electrical signal data;

[0034] Step S22: performing wavelength sequence electrical signal analysis on the image wavelength sequence based on the pixel reflection spectrum to obtain the image wavelength sequence electrical signal;

[0035] Step S23: merging the image electrical signal data and the image wavelength sequence electrical signal to obtain a sequence image electrical signal;

[0036] Step S24: performing optical signal modulation on the sequence image electrical signal to obtain a sequence image optical signal;

[0037] Step S25: The image light signal is processed for transmission based on the MEMS optical fiber matrix switch transmission device to obtain image light signal transmission data.

[0038] The present invention converts image data into electrical signal data through electrical signal data conversion. Through this conversion, electrical systems and equipment are used to process and transmit image information. Electrical signal conversion can improve the compatibility and flexibility of image processing and provide a basic format for subsequent image analysis and application. The key features and information of the image wavelength sequence are extracted and converted into corresponding electrical signal forms, which is conducive to considering the color characteristics of the image and ensuring that the electrical signal contains complete image information. Through the analysis of the wavelength sequence electrical signal, the representation and transmission mode of the image data can be optimized, and the wavelength information of the image is also converted into the form of an electrical signal to facilitate subsequent merging and processing with the image electrical signal data. A sequence image electrical signal containing complete image information is formed, and the image information and wavelength information are integrated together to prepare for subsequent optical signal modulation. The high-efficiency transmission characteristics of the optical fiber matrix switch transmission device are used to realize high-speed transmission of image data. Optical signal modulation can significantly improve the rate and capacity of image transmission. The optical signal has higher bandwidth and transmission efficiency. Optical signal modulation can also reduce signal attenuation and interference in transmission to ensure transmission quality and reliability. The optical signal is transmitted to the receiving end through the optical fiber to obtain image optical signal transmission data, which effectively improves the efficiency and reliability of the optical fiber transmission system.

[0039] Preferably, step S22 includes the following steps:

[0040] Step S221: performing block interval sampling processing on the pixel reflection spectrum image to obtain a pixel spectrum sampling interval;

[0041] Step S222: acquiring the spectral density of the pixel spectrum sampling interval based on the pixel reflection spectrum diagram to obtain the spectral density of the sampling interval;

[0042] Step S223: performing optical power analysis on the pixel spectrum sampling interval based on the sampling interval spectrum density to obtain sampling interval optical power data;

[0043] Step S224: performing an electric signal conversion rate analysis on the optical power data in the sampling interval to obtain a photoelectric conversion parameter;

[0044] Step S225: performing proportional electrical signal conversion processing on the image wavelength sequence based on the photoelectric conversion parameters to obtain an image wavelength sequence electrical signal.

[0045] The present invention divides the spectrum into multiple intervals through block interval sampling processing, and samples data from each interval to ensure that the sampling process covers the entire spectrum and obtains complete spectral information. Block interval sampling is also conducive to identifying local features and trends in the spectrum, and provides basic data for subsequent spectral density analysis and optical power calculation; the spectral density value of each sampling interval is calculated and extracted through spectral density acquisition. The spectral density reflects the number and density of spectral lines in a specific interval, which is conducive to describing important parameters of spectral characteristics to extract interval optical power information; the optical power value in each interval is calculated to obtain the optical power data of the sampling interval. Optical power is a measure of the strength of light wave energy. , is an important parameter in optical signal transmission. By obtaining the optical power data of each sampling interval, the intensity change of image information in the optical signal can be more accurately reflected; the conversion relationship between optical power and the corresponding electrical signal intensity is analyzed to obtain the photoelectric conversion parameters. The photoelectric conversion parameters are the key parameters for converting optical signals into electrical signals, which determine the corresponding relationship between optical signals and electrical signals. By analyzing the optical power data, the optimal photoelectric conversion parameters can be determined, thereby realizing high-fidelity conversion from optical signals to electrical signals; the optical power value corresponding to each wavelength is converted into the corresponding electrical signal intensity value to obtain the image wavelength sequence electrical signal, which is prepared for the subsequent merging and processing with the image electrical signal data.

[0046] Preferably, step S3 comprises the following steps:

[0047] Step S31: performing channel spectrum mapping on the image optical signal transmission data to obtain a channel optical signal spectrum;

[0048] Step S32: performing wavelength classification processing on the channel optical signal spectrum to obtain channel spectrum classification wavelength data;

[0049] Step S33: performing optical power analysis on the channel spectrum classification wavelength data to obtain channel optical power data;

[0050] Step S34: performing reflected light power analysis on the pixel reflection spectrum to obtain reflected light power data;

[0051] Step S35: performing block-by-block same-wavelength comparison processing on the channel optical power data and the reflected optical power data to obtain an optical power ratio constant;

[0052] Step S36: Perform an abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio abnormality assessment result.

[0053] The present invention performs channel spectrum drawing on the received image light signal transmission data, that is, decomposing the light signal into light intensity information of different wavelengths, and presenting it in a graphical form to obtain the channel light signal spectrum, which is beneficial to reflecting the energy distribution of each band of the light signal during the transmission process. The spectrum curve is divided into several intervals according to a certain wavelength interval, and the wavelength range corresponding to each interval is recorded to obtain channel spectrum classification wavelength data, which provides convenience for subsequent separate analysis of light signals of different bands; the light power value and distribution of each band are obtained, and the light power analysis is beneficial to the energy distribution and intensity characteristics of the light signal, ensuring that the light signal has sufficient power and brightness to transmit the image data. At the same time, the light power analysis can also be applied to light source attenuation or interference analysis, and the reflected light power value of each pixel point in the corresponding band is calculated to obtain the reflected light power data. The reflected light power data reflects the energy distribution of the original image information in different bands, and is the basic data for the subsequent calculation of the light power ratio constant. The light power ratio constant for each wavelength interval is calculated and obtained. This comparison processing is conducive to identifying and analyzing anomalies or changes in the image transmission process, ensuring the stability and reliability of optical signal transmission. Based on the preset light power ratio abnormality threshold, the abnormal situation of optical signal transmission can be discovered in time. This step can quickly identify the existing light signal attenuation, interference or abnormal reflection problems by comparing the actual light power ratio with the threshold, which is conducive to taking corresponding corrective or optimization measures.

[0054] Preferably, step S4 comprises the following steps:

[0055] Step S41: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed;

[0056] Step S42: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, then abnormal block image positioning is performed on the image optical signal transmission data based on the image wavelength sequence to obtain an abnormal block image;

[0057] Step S43: performing channel bit error rate analysis on the abnormal block image to obtain an abnormal channel bit error rate;

[0058] Step S44: performing channel interface switching processing on the transmission device of the MEMS optical fiber matrix switch based on the abnormal channel bit error rate to obtain a channel interface conversion result of the transmission device.

[0059] The present invention indicates that when the optical power ratio is less than a preset abnormal threshold, the current optical signal transmission condition is good and no corrective or adjustment measures need to be taken. This mechanism can avoid unnecessary intervention and reduce waste of system resources; if the optical power ratio is greater than or equal to the preset optical power ratio abnormal threshold, the image optical signal transmission data is abnormally segmented and imaged based on the image wavelength sequence. This can quickly and effectively identify and isolate abnormal data, narrow the impact range to a specific wavelength or block, and is conducive to accurate analysis and processing of abnormal situations, thereby improving processing efficiency; channel bit error rate analysis is performed on the abnormal block image, so that the channel transmission quality can be quantitatively evaluated. By analyzing the bit error rate, potential errors or distortions in abnormal channel transmission can be discovered, providing a reliable basis for subsequent interface switching decisions; channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the abnormal channel bit error rate, so that data transmission errors caused by channel quality degradation can be effectively avoided. By switching the channel interface, the system can select a reliable interface to ensure the integrity and stability of data transmission.

[0060] Preferably, step S42 includes the following steps:

[0061] Step S421: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, abnormal spectral density analysis is performed on the image light signal transmission data to obtain abnormal spectral density data;

[0062] Step S422: performing abnormal wavelength acquisition processing on the abnormal spectrum data to obtain abnormal wavelength data;

[0063] Step S423: performing abnormal sequence block positioning processing on the image wavelength sequence based on the abnormal wavelength data to obtain an abnormal wavelength sequence block;

[0064] Step S424: performing associated block image analysis on the abnormal wavelength sequence block to obtain an abnormal block image.

[0065] The present invention performs abnormal spectral density analysis on the image optical signal transmission data when the optical power ratio is greater than or equal to the preset abnormal threshold value, which is helpful to deeply explore the abnormal situation and discover the abnormal spectral characteristics. By analyzing the abnormal spectral density, the unique characteristics of the abnormal optical signal can be identified, which provides a basis for the subsequent abnormal wavelength acquisition and processing; the abnormal wavelength acquisition and processing of the abnormal spectrum data can extract the unique wavelength information in the abnormal spectrum. By identifying these abnormal wavelengths, the system can associate the abnormal situation with a specific band, which can help the system quickly focus on the abnormal wavelength range; by performing abnormal sequence block positioning processing on the image wavelength sequence, the system can identify and mark the specific blocks related to the abnormal wavelength in the sequence, and closely combine the abnormal wavelength data with the image wavelength sequence to determine the exact position of the abnormal wavelength in the sequence, so as to perform more accurate analysis and processing on the abnormal situation; the associated block image analysis of the abnormal wavelength sequence block can visually present the image block related to the abnormal wavelength, which provides a more accurate basis for the subsequent channel bit error rate analysis and channel switching, and minimizes the impact on the normal image area.

[0066] Preferably, the present invention further provides a conversion interface system based on a MEMS optical fiber matrix switch transmission device, which is used to execute the conversion interface method based on a MEMS optical fiber matrix switch transmission device as described above, and the conversion interface system based on a MEMS optical fiber matrix switch transmission device comprises:

[0067] The sequence generation module is used to acquire image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; perform image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; perform image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence;

[0068] A sequence image data transmission module is used to convert the input image data and the image wavelength sequence into sequence electrical signals based on the pixel reflection spectrum diagram to obtain sequence image electrical signals; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signals are transmitted as optical signals to obtain image optical signal transmission data;

[0069] The optical power ratio constant analysis module is used to perform optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain the optical power ratio constant; perform abnormality judgment on the optical power ratio constant according to the preset optical power ratio abnormality threshold to obtain the optical power ratio abnormality assessment result;

[0070] The channel interface switching module is used to perform channel interface switching processing on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data, and obtain the channel interface conversion result of the transmission device.

[0071] In summary, the present invention provides a conversion interface system based on a MEMS fiber optic matrix switch transmission device. The conversion interface system based on a MEMS fiber optic matrix switch transmission device consists of a sequence generation module, a sequence image data transmission module, an optical power ratio constant analysis module, and a channel interface switching module. It can implement any one of the conversion interface methods based on a MEMS fiber optic matrix switch transmission device described in the present invention, and is used to combine the operations between computer programs running on each module to implement any one of the conversion interface methods based on a MEMS fiber optic matrix switch transmission device. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient conversion interface process, thereby simplifying the operation flow of the conversion interface system based on a MEMS fiber optic matrix switch transmission device. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0073] Figure 1 It is a schematic diagram of the steps of the conversion interface method based on the MEMS optical fiber matrix switch transmission device of the present invention;

[0074] Figure 2 for Figure 1 Detailed step flow diagram of step S2;

[0075] Figure 3 for Figure 2 Detailed step flow diagram of step S22; DETAILED DESCRIPTION

[0076] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0077] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0078] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0079] To achieve this, please refer to Figures 1 to 3 The present invention provides a conversion interface method based on a MEMS optical fiber matrix switch transmission device, comprising the following steps:

[0080] Step S1: acquiring image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; performing image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; performing image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence;

[0081] Step S2: Based on the pixel reflection spectrum, the input image data and the image wavelength sequence are converted into a sequence electrical signal to obtain a sequence image electrical signal; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signal is transmitted as an optical signal to obtain image optical signal transmission data;

[0082] Step S3: performing optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain an optical power ratio constant; performing abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio abnormality assessment result;

[0083] Step S4: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, the channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data to obtain the channel interface conversion result of the transmission device.

[0084] In the embodiment of the present invention, please refer to Figure 1 As shown, it is a schematic diagram of the steps of the conversion interface method based on the MEMS optical fiber matrix switch transmission device of the present invention. In this example, the conversion interface method based on the MEMS optical fiber matrix switch transmission device includes the following steps:

[0085] Step S1: acquiring image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; performing image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; performing image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence;

[0086] The embodiment of the present invention obtains image data from a MEMS fiber matrix switch transmission device. The obtained image data is subjected to light reflection simulation processing, and the image data to be input is input into a pre-built light reflection simulation system. The system simulates the effect of light irradiating the image, obtains the reflection spectrum of each pixel at different wavelengths, and finally generates a pixel reflection spectrum containing the distribution of the light intensity information of each pixel at different wavelengths. Then, according to the preset wavelength mapping and pixel chromaticity association, the light intensity information in the pixel reflection spectrum is converted into a series of wavelength values, and different pixels correspond to different wavelength sequences, and finally a complete image wavelength sequence is formed.

[0087] Step S2: Based on the pixel reflection spectrum, the input image data and the image wavelength sequence are converted into a sequence electrical signal to obtain a sequence image electrical signal; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signal is transmitted as an optical signal to obtain image optical signal transmission data;

[0088] The embodiment of the present invention converts the image wavelength sequence into a series of electrical signals according to the optical power value of each pixel point at the corresponding wavelength in the pixel reflection spectrum diagram, the amplitude of each electrical signal represents the optical power value of the corresponding pixel point at the corresponding wavelength, and inputs the converted sequence image electrical signals into the MEMS optical fiber matrix switch transmission device, adjusts the optical signal after conversion, and the optical switch array inside the transmission device imports the optical signals of different wavelengths into the corresponding optical fiber channels for transmission according to the preset routing rules, and finally outputs the image optical signal transmission data at the receiving end.

[0089] Step S3: performing optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain an optical power ratio constant; performing abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio abnormality assessment result;

[0090] The embodiment of the present invention analyzes the acquired pixel reflection spectrum diagram, calculates the reflected light power of each pixel at the corresponding wavelength, analyzes the acquired image light signal transmission data, calculates the light signal transmission power at each wavelength, performs a ratio operation on the reflected light power and the transmitted light power at the same wavelength to obtain a light power ratio constant, compares the calculated light power ratio constant with a pre-set light power ratio abnormal threshold, and determines whether the light power ratio is abnormal.

[0091] Step S4: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, the channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data to obtain the channel interface conversion result of the transmission device.

[0092] The embodiment of the present invention adopts different processing strategies according to the optical power ratio abnormality assessment result: if the optical power ratio constant is less than the preset abnormal threshold, the optical power ratio is determined to be normal and the system does not perform any processing; if the optical power ratio constant is greater than or equal to the preset abnormal threshold, the optical power ratio is determined to be abnormal, and the system will issue instructions to the MEMS fiber optic matrix switch transmission device according to the image wavelength sequence and the image optical signal transmission data, switch the channel interface, and select a backup channel for data transmission, thereby bypassing the faulty channel and ensuring the normal transmission of image data.

[0093] The present invention constructs a pixel reflection spectrum diagram of the image by performing image light reflection simulation processing on the image data obtained by the MEMS fiber optic matrix switch transmission device, which is beneficial to mapping the image information from the traditional pixel brightness value domain to the light reflection spectrum domain, laying the foundation for the subsequent use of optical signals to transmit the image information; by analyzing the pixel reflection spectrum diagram, the reflection characteristics of the pixel points under the irradiation of light of different wavelengths are extracted, so as to convert the image information into wavelength sequence information that can be carried by the optical signal; through the sequence electrical signal conversion technology, the processed image wavelength sequence data is converted into the corresponding electrical signal. The conversion technology ensures the accuracy of the image data and effectively associates the electrical signal with the optical signal. By utilizing the advantages of the MEMS fiber optic matrix switch transmission device, the sequence image electrical signals are transmitted as optical signals, which can improve Transmission efficiency and quality of image data; by analyzing the optical power ratio constant of the pixel reflection spectrum and the image optical signal transmission data, the quality and integrity of the optical signal can be effectively evaluated. By comparing the actual optical power ratio with the preset abnormal threshold, the abnormal situation can be discovered and identified in time, and the data transmission channel interface that generates transmission noise can be quickly and intelligently located, and the data transmission channel interface that generates transmission noise can be quickly and intelligently located to ensure the image transmission quality. It can effectively guarantee the accuracy and reliability of image data and avoid the adverse effects of abnormal optical power ratio on subsequent processing and analysis; when the optical power ratio evaluation result is abnormal, the channel interface switching processing of the MEMS optical fiber matrix switch transmission device can effectively avoid the image transmission quality being affected by the abnormal optical power ratio. By switching the channel interface, the abnormal image is abnormally located and transmitted in blocks, and the optimal transmission path can be selected or the damaged channel can be avoided to reduce the problem of consuming communication resources for the overall retransmission of the abnormal image, and also ensure the transmission quality and integrity of the image data, and improve the flexibility and fault tolerance of image transmission.

[0094] Preferably, step S1 comprises the following steps:

[0095] Step S11: performing input interface data acquisition processing on the MEMS optical fiber matrix switch transmission device to obtain a data set to be input;

[0096] The embodiment of the present invention determines the input interface type and data transmission protocol of the MEMS fiber optic matrix switch transmission device, starts the data acquisition program according to the interface type and data transmission protocol, receives the data stream from the input interface, parses and decodes the received data stream, extracts valid data information, and stores it in a cache area to form a data set to be input.

[0097] Step S12: acquiring image data from the input data set to obtain image data to be input;

[0098] The embodiment of the present invention identifies the captured static image in the continuous data stream according to a preset data format and selects the starting and ending positions of the video frame image data block containing relevant visual information, determines whether the data block is complete image data, and stores it as image data to be input.

[0099] Step S13: performing region division processing on the input image data to obtain image region division data;

[0100] The embodiment of the present invention divides the image into regions by selecting a segmentation algorithm based on edge detection, sets corresponding parameters according to the selected segmentation algorithm, processes the image, identifies different regions in the image, and marks each region with a different label, ultimately obtaining image region division data.

[0101] Step S14: sequentially dividing the input image data into blocks based on the image region division data to obtain block image data;

[0102] The embodiment of the present invention divides the input image data into a number of image blocks of equal or unequal sizes by dividing the data according to the image region, and numbers all the block image data in a preset order and stores them as block image data.

[0103] Step S15: performing image light reflection simulation processing on the block image data to obtain a pixel reflection spectrum diagram;

[0104] The embodiment of the present invention simulates the reflectivity of each pixel in each block image data under light of different wavelengths, selects a reflection model and the color information of the pixel, calculates the reflectivity of each pixel under light of different wavelengths, and obtains a reflection spectrum diagram of each pixel.

[0105] Step S16: constructing a wavelength sequence for the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence.

[0106] The embodiment of the present invention creates an image wavelength sequence by using information obtained from a reflectance spectrum diagram, converting image data into a series of wavelengths and frequency values ​​to represent the color and intensity of the image. This conversion can utilize spectral information to create a detailed wavelength sequence to describe the color characteristics of the image.

[0107] The present invention obtains and processes the input interface data of the MEMS fiber optic matrix switch transmission device to prepare for subsequent image data processing, can identify valid data segments containing image information, and eliminate irrelevant data, thereby improving the efficiency of subsequent processing; extracts image data from the data set to be input, and identifies the pattern of the image data by processing and analyzing the data set, thereby effectively separating and acquiring the image data, which is beneficial to providing a reliable data basis for subsequent image processing steps; divides the image data into regions to divide the complex image into simple regions, which is helpful to improve the efficiency of subsequent processing, and optimizes the processing according to the characteristics of different regions. The regional division is also beneficial to identifying important information and features in the image; by dividing the image data into regions, the image data can be divided into The large image can be broken down into smaller and more manageable parts by dividing it into multiple small blocks. Block processing can improve the parallelism and efficiency of image processing. It can process multiple blocks at the same time, and is also conducive to identifying local features and details in the image, providing more detailed information for further analysis and understanding of the image content; a unique pixel reflection spectrum is obtained, which contains the key characteristic information color of the image. By simulating the light reflection characteristics, important visual information in the image is extracted, providing basic data for subsequent wavelength sequence construction and transmission optimization; an image wavelength sequence corresponding to the entire image is constructed, which contains all the information of the image and is expressed in the form of an optical signal, providing a transmission basis for the subsequent use of optical fiber communication technology for high-speed and high-quality image transmission.

[0108] Preferably, step S15 comprises the following steps:

[0109] Step S151: performing color gamut division processing on the block image data to obtain the block image color gamut data;

[0110] The embodiment of the present invention analyzes the color distribution of pixels in the block image data, divides the RGB color space image color space into a plurality of color regions according to the color gamut division standard, determines the boundary value of the color region according to the color space and the division standard, traverses each pixel in the block image data, determines the color region to which it belongs according to its color value, and records the region information to the corresponding pixel position to obtain the block image color gamut data.

[0111] Step S152: performing image light reflection simulation processing on the block image data to obtain block image light reflection simulation data;

[0112] In the embodiment of the present invention, an image is processed to simulate lighting conditions, taking into account the characteristics, angle and intensity of the light source, as well as the image color. By using optical algorithms and models, this simulation provides a set of reflection characteristic data for the image block, describes the reflection of light, calculates the distribution of reflected light intensity for each pixel at different incident angles and observation angles, and stores it as block image light reflection simulation data.

[0113] Step S153: performing graphic pixel chromaticity classification processing on the block image color gamut data to obtain image pixel chromaticity data;

[0114] The embodiment of the present invention determines the corresponding chromaticity value according to the color area to which each pixel in the block image color gamut data belongs, adopts the chromaticity coordinate system to represent the chromaticity characteristics of each color area, calculates the corresponding chromaticity coordinate value according to the color area to which the pixel belongs, and records the chromaticity value to the corresponding pixel position, thereby finally obtaining the image pixel chromaticity data.

[0115] Step S154: performing spectral wavelength analysis on the block image light reflection simulation data to obtain pixel reflection wavelength data;

[0116] The embodiment of the present invention uses Fourier transform to perform spectral analysis on the block image light reflection simulation data, extracts the reflectivity of each pixel under light of different wavelengths, decomposes the reflected light intensity distribution into light intensity values ​​of different wavelengths, obtains its reflectivity at different sampling wavelengths, and stores the reflectivity value as pixel reflection wavelength data.

[0117] Step S155: Draw a pixel reflection spectrum diagram for the divided image data based on the image pixel chromaticity data and the pixel reflection wavelength data to obtain a pixel reflection spectrum diagram.

[0118] The embodiment of the present invention combines the image pixel chromaticity data and the pixel reflection wavelength data, takes the wavelength as the horizontal coordinate and the reflectance as the vertical coordinate, draws the reflectance change curve of each pixel point at different wavelengths, normalizes the reflectance spectrum graph as needed, arranges and combines the reflectance spectrum graphs of all pixels points according to their spatial positions in the image, and obtains a complete pixel reflection spectrum graph.

[0119] The present invention performs color gamut division processing on the block image data, with the purpose of classifying the pixels with similar colors in the image block together to form different color areas, which is conducive to the subsequent targeted light reflection simulation according to the characteristics of different color areas, and improves the simulation accuracy and efficiency; obtains the light reflection simulation data of the block image, considers the refraction, reflection and scattering when the light interacts with the object, and simulates the light reflection characteristics. The simulation data thus generated contains the key visual information of the block image, which provides a basis for the subsequent graphic pixel chromaticity classification and spectral wavelength analysis; the graphic pixel chromaticity classification processing is the process of performing chromaticity analysis and classification on the pixel points of the block image color gamut data. Through this processing, different chromaticity areas in the image are identified and divided. Determining the distribution and proportion of different colors in the image is conducive to extracting the color characteristics and information of the image, and providing color-related data support for image analysis and processing; through spectral wavelength analysis to obtain detailed wavelength distribution information of the reflection spectrum of each pixel, the reflection intensity and characteristics of the block image at different wavelengths are extracted, and through spectral wavelength analysis, the wavelength-related features and details in the image are identified, providing detailed data support for the subsequent drawing of pixel reflection spectrum diagrams; this step integrates the image pixel chromaticity data and pixel reflection wavelength data, and intuitively displays the color information and light reflection characteristics of each pixel in a graphical manner. The construction of the pixel reflection spectrum diagram provides an important data basis for the subsequent use of optical signals for image information transmission and processing.

[0120] Preferably, step S16 comprises the following steps:

[0121] Step S161: performing interval wavelength sampling processing on the pixel reflection spectrum to obtain the pixel spectrum sampling wavelength;

[0122] The embodiment of the present invention adopts an interval sampling method to sample the visible light band at a sampling interval of 10nm, obtains the reflectivity information of the pixel point at these sampling wavelengths, and finally obtains the pixel spectrum sampling wavelength and reflectivity data corresponding to each pixel point.

[0123] Step S162: performing pixel chromaticity correlation processing on the pixel spectrum sampling wavelength to obtain sampling wavelength-correlated chromaticity data;

[0124] The embodiment of the present invention uses color science knowledge to associate the pixel spectrum sampling wavelength with its corresponding color information. A chromaticity coordinate system can be used to convert each sampling wavelength into a corresponding tristimulus value, and the chromaticity coordinates corresponding to the sampling wavelength are further calculated, ultimately obtaining the chromaticity data corresponding to each pixel point at each sampling wavelength.

[0125] Step S163: quantizing the chromaticity data associated with the sampling wavelength to obtain the chromaticity value of the sampling wavelength;

[0126] The embodiment of the present invention quantizes the chromaticity data associated with the sampling wavelength, divides the chromaticity space into several intervals, each interval corresponds to a specific chromaticity value, and uses a chromaticity coordinate system to obtain the corresponding chromaticity value, and the corresponding chromaticity interval coordinate is the desired chromaticity value.

[0127] Step S164: performing block sequence analysis on the input image data to obtain an image block sequence;

[0128] The embodiment of the present invention divides the image data to be input into blocks, divides the image into a number of image blocks of equal size, and arranges them in a certain order, first from left to right and then from top to bottom, to form an image block sequence.

[0129] Step S165: performing sequential fitting processing on the image block sequence based on the sampled wavelength chromaticity values ​​to obtain an image wavelength sequence.

[0130] The embodiment of the present invention selects a sampling wavelength that matches the distribution of the main chromaticity values ​​in each image block as the transmission wavelength of the image block. For example, if the image block mainly contains red and green, a sampling wavelength corresponding to the red and green range can be selected as the transmission wavelength of the image block. The image block will correspond to a specific transmission wavelength to form a complete image wavelength sequence.

[0131] The present invention selects specific interval wavelengths in the spectrum as sampling points to reduce the amount of data while retaining the key feature information of the spectrum, so as to improve the efficiency of subsequent processing. Only a small part of the data needs to be processed instead of the complete spectrum. At the same time, interval wavelength sampling is also conducive to extracting the overall trend and characteristics of the spectrum. Each sampling wavelength has corresponding reflection intensity and color information. Through this processing, the relationship between different wavelengths and different colors can be determined. This association processing is conducive to understanding and converting the information between color and wavelength, and provides basic data for subsequent colorimetric quantization and image processing. Colorimetric quantization is the process of quantizing the colorimetric data associated with the sampling wavelength, separating the continuous colorimetric values. Disperse into a finite number of discrete chromaticity values ​​to simplify data representation and facilitate subsequent processing and storage. Chromaticity quantization can reduce the amount of data and improve processing efficiency. Chromaticity quantization can also ensure color accuracy and facilitate control and adjustment of color precision. Determine the position and order of each image block in the entire image to obtain an image block sequence, which provides a basis for subsequently splicing the wavelength information of each image block into a complete image wavelength sequence in the correct order. Splice the sampling wavelength chromaticity values ​​corresponding to each image block in the correct order to form a wavelength sequence containing the color information of the entire image. The construction of the image wavelength sequence lays the foundation for the subsequent use of optical signals for image information transmission and processing.

[0132] Preferably, step S2 comprises the following steps:

[0133] Step S21: converting the input image data into electrical signal data to obtain image electrical signal data;

[0134] Step S22: performing wavelength sequence electrical signal analysis on the image wavelength sequence based on the pixel reflection spectrum to obtain the image wavelength sequence electrical signal;

[0135] Step S23: merging the image electrical signal data and the image wavelength sequence electrical signal to obtain a sequence image electrical signal;

[0136] Step S24: performing optical signal modulation on the sequence image electrical signal to obtain a sequence image optical signal;

[0137] Step S25: The image light signal is processed for transmission based on the MEMS optical fiber matrix switch transmission device to obtain image light signal transmission data.

[0138] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S2 in FIG. 1 , in this embodiment, step S2 includes the following steps:

[0139] Step S21: converting the input image data into electrical signal data to obtain image electrical signal data;

[0140] The embodiment of the present invention converts the brightness value of each pixel in the image data into a corresponding voltage value by using an analog-to-digital converter to obtain image electrical signal data.

[0141] Step S22: performing wavelength sequence electrical signal analysis on the image wavelength sequence based on the pixel reflection spectrum to obtain the image wavelength sequence electrical signal;

[0142] The embodiment of the present invention analyzes the image wavelength sequence by referring to the pixel reflection spectrum diagram. The reflection spectrum diagram of each pixel describes its response to light of different wavelengths. The wavelength assigned to each pixel point is analyzed, and the different wavelengths are mapped to different voltages, which are converted into corresponding electrical signals.

[0143] Step S23: merging the image electrical signal data and the image wavelength sequence electrical signal to obtain a sequence image electrical signal;

[0144] The embodiment of the present invention combines the image electrical signal data and the image wavelength sequence electrical signal, modulates the image electrical signal data and the wavelength sequence electrical signal to different carrier frequencies respectively, and then superimposes them to form a sequence image electrical signal containing image information and wavelength information.

[0145] Step S24: performing optical signal modulation on the sequence image electrical signal to obtain a sequence image optical signal;

[0146] The embodiment of the present invention utilizes optical signal modulation technology and adopts intensity modulation to convert changes in sequence image electrical signals into changes in optical signal intensity, and loads the sequence image electrical signals onto optical signals to generate sequence image optical signals.

[0147] Step S25: The image light signal is processed for transmission based on the MEMS optical fiber matrix switch transmission device to obtain image light signal transmission data.

[0148] The embodiment of the present invention transmits the sequence image optical signals by inputting them into a MEMS optical fiber matrix switch transmission device, which transmits optical signals of different wavelengths to corresponding receiving ends through different optical fibers according to a pre-set routing scheme, thereby ultimately achieving transmission of image data.

[0149] The present invention converts image data into electrical signal data through electrical signal data conversion. Through this conversion, electrical systems and equipment are used to process and transmit image information. Electrical signal conversion can improve the compatibility and flexibility of image processing and provide a basic format for subsequent image analysis and application. The key features and information of the image wavelength sequence are extracted and converted into corresponding electrical signal forms, which is conducive to considering the color characteristics of the image and ensuring that the electrical signal contains complete image information. Through the analysis of the wavelength sequence electrical signal, the representation and transmission mode of the image data can be optimized, and the wavelength information of the image is also converted into the form of an electrical signal to facilitate subsequent merging and processing with the image electrical signal data. A sequence image electrical signal containing complete image information is formed, and the image information and wavelength information are integrated together to prepare for subsequent optical signal modulation. The high-efficiency transmission characteristics of the optical fiber matrix switch transmission device are used to realize high-speed transmission of image data. Optical signal modulation can significantly improve the rate and capacity of image transmission. The optical signal has higher bandwidth and transmission efficiency. Optical signal modulation can also reduce signal attenuation and interference in transmission to ensure transmission quality and reliability. The optical signal is transmitted to the receiving end through the optical fiber to obtain image optical signal transmission data, which effectively improves the efficiency and reliability of the optical fiber transmission system.

[0150] Preferably, step S22 includes the following steps:

[0151] Step S221: performing block interval sampling processing on the pixel reflection spectrum image to obtain a pixel spectrum sampling interval;

[0152] Step S222: acquiring the spectral density of the pixel spectrum sampling interval based on the pixel reflection spectrum diagram to obtain the spectral density of the sampling interval;

[0153] Step S223: performing optical power analysis on the pixel spectrum sampling interval based on the sampling interval spectrum density to obtain sampling interval optical power data;

[0154] Step S224: performing an electric signal conversion rate analysis on the optical power data in the sampling interval to obtain a photoelectric conversion parameter;

[0155] Step S225: performing proportional electrical signal conversion processing on the image wavelength sequence based on the photoelectric conversion parameters to obtain an image wavelength sequence electrical signal.

[0156] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 FIG. 2 is a schematic diagram of a detailed step flow chart of step S22 in FIG. 1 . In this embodiment, step S22 includes the following steps:

[0157] Step S221: performing block interval sampling processing on the pixel reflection spectrum image to obtain a pixel spectrum sampling interval;

[0158] The embodiment of the present invention divides the acquired pixel reflection spectrum into several equally spaced intervals according to the wavelength range, each interval represents a specific wavelength range, selects a representative wavelength point in each interval for sampling, obtains the reflectivity value corresponding to the wavelength point, and finally obtains a set of discrete wavelength-reflectivity data pairs, i.e., the pixel spectrum sampling interval, by sampling all the intervals.

[0159] Step S222: acquiring the spectral density of the pixel spectrum sampling interval based on the pixel reflection spectrum diagram to obtain the spectral density of the sampling interval;

[0160] The embodiment of the present invention estimates the reflectance of unsampled wavelength points in the pixel spectrum sampling interval using an interpolation algorithm to obtain a continuous spectrum curve, and calculates the area of ​​the spectrum curve in each sampling interval. The area is the relative spectral density of the interval.

[0161] Step S223: performing optical power analysis on the pixel spectrum sampling interval based on the sampling interval spectrum density to obtain sampling interval optical power data;

[0162] The embodiment of the present invention calculates the corresponding optical power in each interval by using the known incident optical power and the spectral density of the sampling interval. The specific method is: multiplying the incident optical power by the spectral density of the interval, and then multiplying by the wavelength width of the interval to obtain the incident optical power of the interval.

[0163] Step S224: performing an electric signal conversion rate analysis on the optical power data in the sampling interval to obtain a photoelectric conversion parameter;

[0164] The embodiment of the present invention calculates the optical power in each sampling interval and the voltage required to convert the optical signal into an electrical signal, performs ratio processing on the optical signal power and the voltage required for conversion to obtain the conversion efficiency, and corresponds the conversion efficiency of each interval to the central wavelength of the interval to obtain a set of photoelectric conversion parameters for describing the efficiency of converting light of different wavelengths into electrical signals.

[0165] Step S225: performing proportional electrical signal conversion processing on the image wavelength sequence based on the photoelectric conversion parameters to obtain an image wavelength sequence electrical signal.

[0166] The embodiment of the present invention performs weighted summation of the optical power data of the sampling intervals according to the photoelectric conversion parameters to obtain the total electrical signal output value of each pixel point in the entire wavelength range, multiplies the power data of each interval by the corresponding photoelectric conversion parameter, and then arranges all the intervals in positive order. The final result is the electrical signal corresponding to the image wavelength sequence.

[0167] The present invention divides the spectrum into multiple intervals through block interval sampling processing, and samples data from each interval to ensure that the sampling process covers the entire spectrum and obtains complete spectral information. Block interval sampling is also conducive to identifying local features and trends in the spectrum, and provides basic data for subsequent spectral density analysis and optical power calculation; the spectral density value of each sampling interval is calculated and extracted through spectral density acquisition. The spectral density reflects the number and density of spectral lines in a specific interval, which is conducive to describing important parameters of spectral characteristics to extract interval optical power information; the optical power value in each interval is calculated to obtain the optical power data of the sampling interval. Optical power is a measure of the strength of light wave energy. , is an important parameter in optical signal transmission. By obtaining the optical power data of each sampling interval, the intensity change of image information in the optical signal can be more accurately reflected; the conversion relationship between optical power and the corresponding electrical signal intensity is analyzed to obtain the photoelectric conversion parameters. The photoelectric conversion parameters are the key parameters for converting optical signals into electrical signals, which determine the corresponding relationship between optical signals and electrical signals. By analyzing the optical power data, the optimal photoelectric conversion parameters can be determined, thereby realizing high-fidelity conversion from optical signals to electrical signals; the optical power value corresponding to each wavelength is converted into the corresponding electrical signal intensity value to obtain the image wavelength sequence electrical signal, which is prepared for the subsequent merging and processing with the image electrical signal data.

[0168] Preferably, step S3 comprises the following steps:

[0169] Step S31: performing channel spectrum mapping on the image optical signal transmission data to obtain a channel optical signal spectrum;

[0170] The embodiment of the present invention removes noise and performs signal amplification preprocessing on the acquired image optical signal transmission data, and draws a power distribution diagram of the optical signal at each wavelength, that is, a channel optical signal spectrum, according to the wavelength information of the optical signal transmission data.

[0171] Step S32: performing wavelength classification processing on the channel optical signal spectrum to obtain channel spectrum classification wavelength data;

[0172] The embodiment of the present invention divides the channel optical signal spectrum into several wavelength intervals according to the spectral characteristics, each interval represents a specific wavelength range, extracts the central wavelength data of the interval as the representative wavelength of the interval, and obtains a set of discrete wavelength data, namely, channel spectrum classification wavelength data.

[0173] Step S33: performing optical power analysis on the channel spectrum classification wavelength data to obtain channel optical power data;

[0174] The embodiment of the present invention classifies wavelength data according to the channel spectrum, extracts the optical power value corresponding to the central wavelength of the interval from the channel optical signal spectrum, and uses it as the optical power value of the wavelength corresponding to the representative optical power of the interval, thereby obtaining the optical power data corresponding to each wavelength interval, that is, the channel optical power data.

[0175] Step S34: performing reflected light power analysis on the pixel reflection spectrum to obtain reflected light power data;

[0176] The embodiment of the present invention calculates the reflected light power of each pixel in each wavelength interval according to the incident light power and the pixel reflection spectrum, and multiplies the incident light power by the pixel reflectivity corresponding to the interval to obtain the reflected light power in the interval.

[0177] Step S35: performing block-by-block same-wavelength comparison processing on the channel optical power data and the reflected optical power data to obtain an optical power ratio constant;

[0178] The embodiment of the present invention can calculate the loss or change of the optical signal during transmission and reflection by comparing the channel transmission optical power with the reflected optical power at the same wavelength, calculate the ratio of the channel optical power to the reflected optical power in each interval, and obtain the optical power ratio constant.

[0179] Step S36: Perform an abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio abnormality assessment result.

[0180] The embodiment of the present invention pre-sets an optical power ratio abnormality threshold value, which is determined according to actual application scenarios and experience. The optical power ratio constant is compared with the threshold value. If the ratio exceeds the threshold value, the optical power ratio of the wavelength interval is determined to be abnormal; otherwise, the optical power ratio of the interval is determined to be normal, and finally the optical power ratio abnormality assessment result of each wavelength interval is obtained.

[0181] The present invention performs channel spectrum drawing on the received image light signal transmission data, that is, decomposing the light signal into light intensity information of different wavelengths, and presenting it in a graphical form to obtain the channel light signal spectrum, which is beneficial to reflecting the energy distribution of each band of the light signal during the transmission process. The spectrum curve is divided into several intervals according to a certain wavelength interval, and the wavelength range corresponding to each interval is recorded to obtain channel spectrum classification wavelength data, which provides convenience for subsequent separate analysis of light signals of different bands; the light power value and distribution of each band are obtained, and the light power analysis is beneficial to the energy distribution and intensity characteristics of the light signal, ensuring that the light signal has sufficient power and brightness to transmit the image data. At the same time, the light power analysis can also be applied to light source attenuation or interference analysis, and the reflected light power value of each pixel point in the corresponding band is calculated to obtain the reflected light power data. The reflected light power data reflects the energy distribution of the original image information in different bands, and is the basic data for the subsequent calculation of the light power ratio constant. The light power ratio constant for each wavelength interval is calculated and obtained. This comparison processing is conducive to identifying and analyzing anomalies or changes in the image transmission process, ensuring the stability and reliability of optical signal transmission. Based on the preset light power ratio abnormality threshold, judgment can be made to promptly detect abnormal conditions in optical signal transmission. This step can quickly identify existing problems such as optical signal attenuation, interference or abnormal reflection by comparing the actual light power ratio with the threshold, which is conducive to taking corresponding corrective or optimization measures.

[0182] Preferably, step S4 comprises the following steps:

[0183] Step S41: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed;

[0184] The embodiment of the present invention compares the optical power ratio abnormality assessment result with a preset optical power ratio abnormality threshold. If the optical power ratios of all pixels in all bands are less than the threshold, it means that the current image transmission is normal and no processing is required. The current channel transmission state can be maintained.

[0185] Step S42: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, then abnormal block image positioning is performed on the image optical signal transmission data based on the image wavelength sequence to obtain an abnormal block image;

[0186] In the embodiment of the present invention, if the evaluation result shows that there are pixels with abnormal optical power ratios, the image data is grouped according to the wavelength sequence of the image and the position information of the pixels, and the optical power characteristics of each grouped data are analyzed. According to the preset abnormal judgment rule optical power fluctuation threshold, the abnormal block image data is identified, and finally an abnormal block image is obtained.

[0187] Step S43: performing channel bit error rate analysis on the abnormal block image to obtain an abnormal channel bit error rate;

[0188] The embodiment of the present invention finds the original image optical signal transmission data corresponding to each block in the abnormal block image according to the position information of the block, performs bit error rate analysis on the transmission data of each abnormal block, and can use the commonly used bit error rate calculation method to calculate the bit error block rate, and finally obtains the channel bit error rate corresponding to each abnormal block, thereby quantitatively analyzing the transmission quality of each abnormal block.

[0189] Step S44: performing channel interface switching processing on the transmission device of the MEMS optical fiber matrix switch based on the abnormal channel bit error rate to obtain a channel interface conversion result of the transmission device.

[0190] The embodiment of the present invention determines whether the bit error rate of the abnormal channel reaches the switching condition through a preset bit error rate threshold. If the switching condition is reached, the channel with the lowest bit error rate is selected according to the preset channel switching strategy, and the MEMS fiber optic matrix switch is controlled to switch the abnormal channel to the backup channel with the lowest bit error rate. The channel switching is confirmed to be successful and the channel interface conversion of the transmission device is completed.

[0191] The present invention indicates that when the optical power ratio is less than a preset abnormal threshold, the current optical signal transmission condition is good and no corrective or adjustment measures need to be taken. This mechanism can avoid unnecessary intervention and reduce waste of system resources; if the optical power ratio is greater than or equal to the preset optical power ratio abnormal threshold, the image optical signal transmission data is abnormally segmented and imaged based on the image wavelength sequence. This can quickly and effectively identify and isolate abnormal data, narrow the impact range to a specific wavelength or block, and is conducive to accurate analysis and processing of abnormal situations, thereby improving processing efficiency; channel bit error rate analysis is performed on the abnormal block image, so that the channel transmission quality can be quantitatively evaluated. By analyzing the bit error rate, potential errors or distortions in abnormal channel transmission can be discovered, providing a reliable basis for subsequent interface switching decisions; channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the abnormal channel bit error rate, so that data transmission errors caused by channel quality degradation can be effectively avoided. By switching the channel interface, the system can select a reliable interface to ensure the integrity and stability of data transmission.

[0192] Preferably, step S42 includes the following steps:

[0193] Step S421: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, abnormal spectral density analysis is performed on the image light signal transmission data to obtain abnormal spectral density data;

[0194] The embodiment of the present invention obtains the optical power ratio constant of the current image light signal transmission data, and compares the constant with a preset optical power ratio abnormal threshold. If the constant is greater than or equal to the preset threshold, it is determined that the image light signal transmission data is abnormal. It is necessary to perform spectral analysis on the image light signal transmission data, identify abnormal spectral components that deviate from the normal spectral distribution, and calculate the corresponding optical power density, and finally obtain abnormal spectral density data.

[0195] Step S422: performing abnormal wavelength acquisition processing on the abnormal spectrum data to obtain abnormal wavelength data;

[0196] The embodiment of the present invention analyzes the abnormal spectral density data, extracts the wavelength information corresponding to the abnormal spectral density value, sets an abnormal spectral density threshold, and considers the wavelength as an abnormal wavelength when the spectral density value corresponding to the wavelength exceeds the threshold. By traversing all wavelengths, a set of all abnormal wavelengths, i.e., abnormal wavelength data, can be obtained.

[0197] Step S423: performing abnormal sequence block positioning processing on the image wavelength sequence based on the abnormal wavelength data to obtain an abnormal wavelength sequence block;

[0198] The embodiment of the present invention regards the image wavelength sequence as an ordered array and the abnormal wavelength data as the element to be searched. The binary search algorithm is used to locate the positions where all abnormal wavelengths appear in the image wavelength sequence. According to the position information, the image wavelength sequence is divided into several continuous sequence blocks based on the block image, and the sequence block containing the abnormal wavelength is the abnormal wavelength sequence block.

[0199] Step S424: performing associated block image analysis on the abnormal wavelength sequence block to obtain an abnormal block image.

[0200] The embodiment of the present invention extracts the image data at the corresponding position according to the position information of each abnormal wavelength sequence block in the image wavelength sequence to form a block image.

[0201] The present invention performs abnormal spectral density analysis on the image optical signal transmission data when the optical power ratio is greater than or equal to the preset abnormal threshold value, which is helpful to deeply explore the abnormal situation and discover the abnormal spectral characteristics. By analyzing the abnormal spectral density, the unique characteristics of the abnormal optical signal can be identified, which provides a basis for the subsequent abnormal wavelength acquisition and processing; the abnormal wavelength acquisition and processing of the abnormal spectrum data can extract the unique wavelength information in the abnormal spectrum. By identifying these abnormal wavelengths, the system can associate the abnormal situation with a specific band, which can help the system quickly focus on the abnormal wavelength range; by performing abnormal sequence block positioning processing on the image wavelength sequence, the system can identify and mark the specific blocks related to the abnormal wavelength in the sequence, and closely combine the abnormal wavelength data with the image wavelength sequence to determine the exact position of the abnormal wavelength in the sequence, so as to perform more accurate analysis and processing on the abnormal situation; the associated block image analysis of the abnormal wavelength sequence block can visually present the image block related to the abnormal wavelength, which provides a more accurate basis for the subsequent channel bit error rate analysis and channel switching, and minimizes the impact on the normal image area.

[0202] Preferably, the present invention further provides a conversion interface system based on a MEMS optical fiber matrix switch transmission device, which is used to execute the conversion interface method based on a MEMS optical fiber matrix switch transmission device as described above, and the conversion interface system based on a MEMS optical fiber matrix switch transmission device comprises:

[0203] The sequence generation module is used to acquire image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; perform image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; perform image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence;

[0204] A sequence image data transmission module is used to convert the input image data and the image wavelength sequence into sequence electrical signals based on the pixel reflection spectrum diagram to obtain sequence image electrical signals; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signals are transmitted as optical signals to obtain image optical signal transmission data;

[0205] The optical power ratio constant analysis module is used to perform optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain the optical power ratio constant; perform abnormality judgment on the optical power ratio constant according to the preset optical power ratio abnormality threshold to obtain the optical power ratio abnormality assessment result;

[0206] The channel interface switching module is used to perform channel interface switching processing on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data, and obtain the channel interface conversion result of the transmission device.

[0207] In summary, the present invention provides a conversion interface system based on a MEMS fiber optic matrix switch transmission device. The conversion interface system based on a MEMS fiber optic matrix switch transmission device consists of a sequence generation module, a sequence image data transmission module, an optical power ratio constant analysis module, and a channel interface switching module. It can implement any one of the conversion interface methods based on a MEMS fiber optic matrix switch transmission device described in the present invention, and is used to combine the operations between computer programs running on each module to implement any one of the conversion interface methods based on a MEMS fiber optic matrix switch transmission device. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient conversion interface process, thereby simplifying the operation flow of the conversion interface system based on a MEMS fiber optic matrix switch transmission device.

[0208] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A conversion interface method based on a MEMS optical fiber matrix switch transmission device, characterized in that: The following steps are involved: Step S1: acquiring image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; performing image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; performing image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence; Step S2: Based on the pixel reflection spectrum, the input image data and the image wavelength sequence are converted into a sequence electrical signal to obtain a sequence image electrical signal; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signal is transmitted as an optical signal to obtain image optical signal transmission data; Step S3: performing optical power ratio constant analysis on the pixel reflection spectrum diagram and the image light signal transmission data to obtain an optical power ratio constant; According to the preset optical power ratio abnormal threshold, the optical power ratio constant is judged abnormally to obtain the optical power ratio evaluation result; Step S3 includes the following steps: Step S31: performing channel spectrum mapping on the image optical signal transmission data to obtain a channel optical signal spectrum; Step S32: performing wavelength classification processing on the channel optical signal spectrum to obtain channel spectrum classification wavelength data; Step S33: performing optical power analysis on the channel spectrum classification wavelength data to obtain channel optical power data; Step S34: performing reflected light power analysis on the pixel reflection spectrum to obtain reflected light power data; Step S35: performing block-by-block same-wavelength comparison processing on the channel optical power data and the reflected optical power data to obtain an optical power ratio constant; Step S36: performing abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio evaluation result; Step S4: if the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, the channel interface switching processing is performed on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data to obtain the transmission device channel interface conversion result; Step S4 includes the following steps: Step S41: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; Step S42: If the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, then based on the image wavelength sequence, the image optical signal transmission data is abnormally segmented and imaged to obtain an abnormal segmented image; the specific steps of step S42 are: Step S421: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, abnormal spectral density analysis is performed on the image light signal transmission data to obtain abnormal spectral density data; Step S422: performing abnormal wavelength acquisition processing on the abnormal spectrum data to obtain abnormal wavelength data; Step S423: performing abnormal sequence block positioning processing on the image wavelength sequence based on the abnormal wavelength data to obtain an abnormal wavelength sequence block; Step S424: performing associated block image analysis on the abnormal wavelength sequence block to obtain an abnormal block image; Step S43: performing channel bit error rate analysis on the abnormal block image to obtain an abnormal channel bit error rate; Step S44: performing channel interface switching processing on the transmission device of the MEMS optical fiber matrix switch based on the abnormal channel bit error rate to obtain a channel interface conversion result of the transmission device.

2. The conversion interface method based on the MEMS optical fiber matrix switch transmission device according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: performing input interface data acquisition processing on the MEMS optical fiber matrix switch transmission device to obtain a data set to be input; Step S12: acquiring image data from the input data set to obtain image data to be input; Step S13: performing region division processing on the input image data to obtain image region division data; Step S14: sequentially dividing the input image data into blocks based on the image region division data to obtain block image data; Step S15: performing image light reflection simulation processing on the block image data to obtain a pixel reflection spectrum diagram; Step S16: constructing a wavelength sequence for the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence.

3. The interface conversion method based on the MEMS optical fiber matrix switch transmission device according to claim 2 is characterized in that: Step S15 includes the following steps: Step S151: performing color gamut division processing on the block image data to obtain the block image color gamut data; Step S152: performing image light reflection simulation processing on the block image data to obtain block image light reflection simulation data; Step S153: performing graphic pixel chromaticity classification processing on the block image color gamut data to obtain image pixel chromaticity data; Step S154: performing spectral wavelength analysis on the block image light reflection simulation data to obtain pixel reflection wavelength data; Step S155: Draw a pixel reflection spectrum diagram for the divided image data based on the image pixel chromaticity data and the pixel reflection wavelength data to obtain a pixel reflection spectrum diagram.

4. The interface conversion method based on the MEMS optical fiber matrix switch transmission device according to claim 2 is characterized in that: Step S16 includes the following steps: Step S161: performing interval wavelength sampling processing on the pixel reflection spectrum to obtain the pixel spectrum sampling wavelength; Step S162: performing pixel chromaticity correlation processing on the pixel spectrum sampling wavelength to obtain sampling wavelength-correlated chromaticity data; Step S163: quantizing the chromaticity data associated with the sampling wavelength to obtain the chromaticity value of the sampling wavelength; Step S164: performing block sequence analysis on the input image data to obtain an image block sequence; Step S165: performing sequential fitting processing on the image block sequence based on the sampled wavelength chromaticity values ​​to obtain an image wavelength sequence.

5. The conversion interface method based on the MEMS optical fiber matrix switch transmission device according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: converting the input image data into electrical signal data to obtain image electrical signal data; Step S22: performing wavelength sequence electrical signal analysis on the image wavelength sequence based on the pixel reflection spectrum to obtain the image wavelength sequence electrical signal; Step S23: merging the image electrical signal data and the image wavelength sequence electrical signal to obtain a sequence image electrical signal; Step S24: performing optical signal modulation on the sequence image electrical signal to obtain a sequence image optical signal; Step S25: The image light signal is processed for transmission based on the MEMS optical fiber matrix switch transmission device to obtain image light signal transmission data.

6. The interface conversion method based on the MEMS optical fiber matrix switch transmission device according to claim 5 is characterized in that: Step S22 includes the following steps: Step S221: performing block interval sampling processing on the pixel reflection spectrum image to obtain a pixel spectrum sampling interval; Step S222: acquiring the spectral density of the pixel spectrum sampling interval based on the pixel reflection spectrum diagram to obtain the spectral density of the sampling interval; Step S223: performing optical power analysis on the pixel spectrum sampling interval based on the sampling interval spectrum density to obtain sampling interval optical power data; Step S224: performing an electric signal conversion rate analysis on the optical power data in the sampling interval to obtain a photoelectric conversion parameter; Step S225: performing proportional electrical signal conversion processing on the image wavelength sequence based on the photoelectric conversion parameters to obtain an image wavelength sequence electrical signal.

7. A conversion interface system based on a MEMS optical fiber matrix switch transmission device, characterized in that: Used to execute the conversion interface method based on the MEMS optical fiber matrix switch transmission device as claimed in claim 1, the conversion interface system based on the MEMS optical fiber matrix switch transmission device comprises: The sequence generation module is used to acquire image data from the MEMS optical fiber matrix switch transmission device to obtain image data to be input; perform image light reflection simulation processing on the input image data to obtain a pixel reflection spectrum; perform image wavelength sequence formation processing on the input image data based on the pixel reflection spectrum to obtain an image wavelength sequence; A sequence image data transmission module is used to convert the input image data and the image wavelength sequence into sequence electrical signals based on the pixel reflection spectrum diagram to obtain sequence image electrical signals; based on the MEMS optical fiber matrix switch transmission device, the sequence image electrical signals are transmitted as optical signals to obtain image optical signal transmission data; The optical power ratio constant analysis module is used to perform optical power ratio constant analysis on the pixel reflection spectrum and the image light signal transmission data to obtain the optical power ratio constant; perform abnormal judgment on the optical power ratio constant according to the preset optical power ratio abnormal threshold to obtain the optical power ratio evaluation result; the optical power ratio constant analysis module includes the following functions: Step S31: performing channel spectrum mapping on the image optical signal transmission data to obtain a channel optical signal spectrum; Step S32: performing wavelength classification processing on the channel optical signal spectrum to obtain channel spectrum classification wavelength data; Step S33: performing optical power analysis on the channel spectrum classification wavelength data to obtain channel optical power data; Step S34: performing reflected light power analysis on the pixel reflection spectrum to obtain reflected light power data; Step S35: performing block-by-block same-wavelength comparison processing on the channel optical power data and the reflected optical power data to obtain an optical power ratio constant; Step S36: performing abnormality judgment on the optical power ratio constant according to a preset optical power ratio abnormality threshold to obtain an optical power ratio evaluation result; The channel interface switching module is used to perform channel interface switching processing on the MEMS optical fiber matrix switch transmission device based on the image wavelength sequence and the image optical signal transmission data, and obtain the channel interface conversion result of the transmission device; if the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, the channel interface switching module includes the following functions: Step S41: If the optical power ratio evaluation result is that the optical power ratio constant is less than the preset optical power ratio abnormal threshold, no processing is performed; Step S42: If the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, then based on the image wavelength sequence, the image optical signal transmission data is abnormally segmented and imaged to obtain an abnormal segmented image; the specific steps of step S42 are: Step S421: if the optical power ratio evaluation result is that the optical power ratio constant is greater than or equal to the preset optical power ratio abnormal threshold, abnormal spectral density analysis is performed on the image light signal transmission data to obtain abnormal spectral density data; Step S422: performing abnormal wavelength acquisition processing on the abnormal spectrum data to obtain abnormal wavelength data; Step S423: performing abnormal sequence block positioning processing on the image wavelength sequence based on the abnormal wavelength data to obtain an abnormal wavelength sequence block; Step S424: performing associated block image analysis on the abnormal wavelength sequence block to obtain an abnormal block image; Step S43: performing channel bit error rate analysis on the abnormal block image to obtain an abnormal channel bit error rate; Step S44: performing channel interface switching processing on the transmission device of the MEMS optical fiber matrix switch based on the abnormal channel bit error rate to obtain a channel interface conversion result of the transmission device.

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