Visual imaging method and system through optical fiber transmission

Abstract

The invention provides a visual imaging method and system through optical fiber transmission, and relates to the technical field of optical fiber transmission. The method comprises the following steps: acquiring historical transmission power data, performing synergy analysis for different optical fiber bundles, and determining power synergy allowance data; collecting real-time optical fiber power data, and performing compensation monitoring analysis according to the power cooperation allowance data to form compensation monitoring result information; performing selection analysis based on different compensation results according to the compensation monitoring result information to form compensation selection analysis result data; and performing power compensation according to the compensation selection analysis result data. According to the method, accurate and effective monitoring and reasonable and effective compensation processing can be carried out on power attenuation.

Description

Technical Field

[0001] This invention relates to the field of optical fiber transmission technology, and more specifically, to a visual imaging method and system that transmits data via optical fiber. Background Technology

[0002] The core component of an optical fiber line is the optical fiber image bundle. Unlike a single communication fiber, it is a flexible bundle composed of tens or even hundreds of thousands of extremely thin individual optical fibers arranged in a regular pattern and fused together. Each of these individual fibers consists of a high-refractive-index core and a low-refractive-index cladding, guiding light based on the principle of total internal reflection. All fibers emit light signals carrying their own pixel information from the output end.

[0003] Currently, using fiber optic transmission for visual imaging is relatively mature, but power attenuation during transmission can affect image quality, and there is still no good result in how to perform reasonable attenuation monitoring and compensation.

[0004] Therefore, designing a visual imaging method and system that transmits data via optical fiber to accurately and effectively monitor and compensate for power attenuation is an urgent problem to be solved. Summary of the Invention

[0005] The purpose of this invention is to provide a visual imaging method for fiber optic transmission. By analyzing historical data, it determines the power attenuation fluctuations in the target fiber optic route during data transmission. These fluctuations are characterized by the coordination relationship between the power of different single-channel paths on the fiber optic line. This reflects both the overall allowable power attenuation magnitude and the coordinated power attenuation relationship between different channels, ensuring good coordination of the data transmitted from different channels after integration. During real-time monitoring, the attenuation of the output power is analyzed using feature data, and different attenuation compensation methods are compared to determine the optimal compensation data. This ensures the rationality and accuracy of power compensation, effectively guaranteeing the quality of fiber optic data transmission.

[0006] The present invention also aims to provide a visual imaging system that transmits data via optical fiber. This system acquires historical big data through a data acquisition unit, providing a data foundation for a feature extraction unit to perform collaborative analysis and determine the permissible range of collaborative variations in output power between different optical fiber channels. Based on this, a compensation analysis unit judges the accuracy of real-time optical fiber power data and provides reasonable compensation adjustments. The different units are interconnected to form a tight whole, effectively ensuring the implementation of power compensation and providing a crucial material basis for reasonable and effective power compensation.

[0007] In a first aspect, the present invention provides a visual imaging method via optical fiber transmission, comprising: acquiring historical transmission power data, performing a synergy analysis for different optical fiber bundles, and determining power synergy tolerance data; acquiring real-time optical fiber power data, performing compensation monitoring analysis based on the power synergy tolerance data, and forming compensation monitoring result information; performing selection analysis based on different compensation results based on the compensation monitoring result information, and forming compensation selection analysis result data; and performing power compensation based on the compensation selection analysis result data.

[0008] In this invention, the method uses feature analysis based on historical data to determine the power attenuation fluctuations in the target optical fiber route during data transmission. These fluctuations are characterized by the coordination relationship between the power of different single-channel paths on the optical fiber line. This reflects both the overall magnitude of the allowable power attenuation and the coordination relationship of power attenuation between different channels, ensuring good coordination of the data transmitted from different channels after integration. During real-time monitoring, feature data is used to analyze the output power attenuation, and different attenuation compensation methods are compared to determine the optimal compensation data. This ensures the rationality and accuracy of power compensation, effectively guaranteeing the quality of optical fiber data transmission.

[0009] One possible approach is to acquire historical transmission power data, perform synergy analysis for different fiber bundles, and determine power synergy tolerance data. This includes: extracting output power data from the historical transmission power data to determine the output image quality within the allowable range during data transmission of the target fiber route, forming quality-effective historical output power data; extracting the effective range of output power from the quality-effective historical output power data to form effective output power data; and performing synergy analysis based on the effective output power data to form power synergy tolerance data.

[0010] In this invention, the extraction of power coordination tolerance data is essentially the extraction of features from historical power transmission data regarding output power. This data effectively characterizes the power attenuation of fiber optic data during transmission and reflects the coordination of output power between each channel in the entire fiber optic cable. The essence of coordination data is to ensure that even with power attenuation after transmission through the fiber optic cable, the power of different fiber optic channels remains interconnected, ensuring that the overall visual coordination of the image is not reduced after the data from different channels is converted into image information. Since historical data is continuous, feature extraction analysis primarily defines the allowable range of output power. Therefore, reasonable discrete information extraction from continuous historical data can ensure that the extracted data reasonably represents the characteristics of output power. It should be noted that image quality is used as a condition for defining the output power tolerance range. This condition value is relatively clear and can be determined through big data analysis of visual perception targeting image quality or through analysis of the overall pixel coordination of the image.

[0011] As one possible implementation, the effective range of output power is extracted from the historical effective output power data to form effective output power data. This includes: setting a discrete data volume threshold, and extracting data from the historical effective output power data in the following ways: marking different time points within any continuous time period, ensuring that the interval between time points is not less than the minimum effective time interval; ensuring that the extracted time points are always not less than the discrete data volume threshold; and extracting the output power of all fiber channels at each time point to form discrete point output power groups corresponding to different time points. , where n represents the number of the time point; output power group for all discrete points. This guarantees that there exists a discrete-point output power set corresponding to a given time point. The output power data with the lowest output image quality from the historical output power data of effective quality, and the corresponding discrete point output power groups at the time points. This refers to the output power data with the highest output image quality from the historical output power data.

[0012] In this invention, extracting effective output power based on historical big data requires consideration of two aspects. Firstly, the provided effective output power must be able to definitively define the minimum and maximum values ​​of output power achievable while ensuring the quality of the image results converted from the output data. Of course, these minimum and maximum values ​​are determined based on the best and worst, but still acceptable, image data for the entire fiber optic line. Secondly, considering data extraction based on historical big data, a sufficient amount of data is needed to ensure that the feature data extracted after collaborative analysis is representative, avoiding situations where the data volume is too small to confirm collaborative data, especially within the limiting boundary range. The threshold for discrete data volume can be set according to the actual situation. It should also be noted that the acquired historical output power data may not be continuous in terms of time parameters. Data for a given time period may be filtered out due to substandard output image quality. Therefore, when calibrating at time points, it's necessary to consider how to ensure the validity of extracted data across discontinuous time parameters. Typically, data from discontinuous time periods do not necessarily have consistent data, so data extraction from these discontinuous periods is not a concern. However, extraction from a continuous time period requires consideration, as short time intervals can lead to inconsistent data due to information stability. The minimum effective time interval can be set based on actual conditions or determined through analysis of the information transmission stability of a fixed fiber optic path. Since fiber optic data transmission relies on numerous individual fiber optic channels, the output power data acquired at each time point includes the output power information of all fiber optic channels.

[0013] As one possible implementation, a synergy analysis is performed based on the effective output power data to generate power synergy tolerance data, including: output power groups at different discrete points. Output power groups at discrete points are determined according to the numbering of different fiber optic channels. The corresponding output channel power values ​​at different discrete points Arrange them in order and determine the power values ​​of adjacent discrete output channels. Discrete point output channel power difference Where m represents the number of different fiber optic channels, k represents the cooperative number of different adjacent fiber optic channels mapped to the fiber optic channel number, and k < m; a data coordinate system is established with the number value and power difference value as parameters, and the power difference of the output channel is displayed at different discrete points. Mapped onto the data coordinate system, and data fitting is performed to form a discrete point output power set. Corresponding discrete point output power coordination curve ; Output power coordination curves at different discrete points Mapped to the same data coordinate system, and with boundary extraction and smoothing, a minimum output power cooperative function is formed. and the highest output power coordination function ; Set minimum output power cooperative function and the highest output power coordination function This generates power coordinating tolerance data.

[0014] In this invention, the synergy analysis of the extracted effective output power data mainly determines two aspects. Firstly, it defines the allowable range of output power variation under the premise that the output image quality meets the requirements, i.e., it defines the deviation boundary of the output power. Secondly, it determines the power matching between different fiber optic channels under the premise that the image quality meets the requirements. Different fiber optic channels may represent a small range of pixel information or the pixel information of a single pixel, and pixel information is usually based on the grayscale data of the image. If the pixel information difference between adjacent regions is too large, it may lead to unclear colors, unclear boundaries of objects in the image, and unidentifiable errors in the resulting image. Therefore, the synergy analysis of the output power between different fiber optic channels is necessary. Even if power attenuation occurs during transmission through the fiber optic line, good synergy of output power between different channels, especially adjacent channels, must be ensured. This application determines the corresponding output power by numbering the channels and uses the difference in output power between adjacent numbered channels as a synergy quantification method. Of course, it is best to number the channels according to a certain channel arrangement order to avoid random sorting that would prevent adjacent channels from being placed together, thus making it impossible to obtain reasonable differences in output power between adjacent channels. It's understandable that after obtaining the output power difference between adjacent channels, the power difference data from the perspective of the entire fiber optic line characterizes the overall output power coordination. Therefore, the boundary curve formed by reasonable fitting processing is the tolerance boundary of coordination. It should be noted that the larger the amount of discrete output power data extracted, the more accurate the boundary data will be, and it can also confirm whether there are unachievable coordinated power regions within the boundary-defined range. Curve fitting can be done by simply smoothing a polygonal line or by fitting based on the principle of least squares. Furthermore, it should be noted that due to the performance differences between different fiber optic channels, the power attenuation of different channels varies. By performing boundary analysis of output power based on the acceptability of transmitted image quality, it can effectively ensure that the transmitted information of all channels is acceptable, effectively guaranteeing the quality of the output image.

[0015] As one possible implementation, real-time fiber optic power data is collected, and compensation monitoring and analysis are performed based on power coordination tolerance data to generate compensation monitoring results information, including: extracting real-time output power groups corresponding to different real-time acquisition points in the time dimension based on real-time fiber optic power data. ,in, , where i represents the number of the different real-time data collection point. This represents the real-time channel output power value of the fiber optic channel numbered m at the real-time acquisition point numbered i; for different real-time output power groups The real-time output channel power difference between adjacent real-time channel output power values ​​is determined; based on the different real-time output channel power differences, a fitting process is performed in the data coordinate system to form a real-time output power cooperative function. According to the real-time output power coordination function Minimum output power cooperative function and the highest output power coordination function Compensation monitoring and analysis are conducted to generate compensation monitoring results information.

[0016] In this invention, compensation monitoring and analysis primarily utilizes output power coordination tolerance data generated based on big data analysis to determine whether unacceptable power attenuation affecting image quality has occurred during real-time data transmission in the optical fiber line. This allows for subsequent reasonable compensation processing based on the analysis of the attenuation. Compensation monitoring also involves data analysis of discrete real-time data extracted over time. Analyzing the data from different optical fiber channels at each monitoring time point yields corresponding real-time power coordination data. Comparing this coordination data with the output power coordination tolerance data determines whether any power anomalies exist in the optical fiber channels.

[0017] As one possible implementation, based on the real-time output power coordination function Minimum output power cooperative function and the highest output power coordination function Compensation monitoring and analysis are performed to generate compensation monitoring results, including: the real-time output power coordination function. Minimum output power cooperative function and the highest output power coordination function Mapped to the same data coordinate system, compensation monitoring and analysis are performed in the following manner: If there exists any cooperative number k such that the real-time output power cooperative function... The value of is lower than the minimum output power cooperative function. The corresponding value is used to calibrate the numbers of the two different fiber channels associated with the coordination number, and record them as the coordination deviation number; if there exists any coordination number k such that the real-time output power coordination function The value of is higher than that of the highest output power cooperative function. The corresponding value will be used as the highest output power coordination function, with the corresponding real-time output channel power difference as the coordination function. The new limit value at the corresponding coordination number is used to re-apply the highest output power coordination function. Perform fitting processing.

[0018] In this invention, comparing the power tolerance data with the real-time output power coordination function primarily determines whether any coordination number shows a situation where the coordinated power falls below the tolerance boundary value. It should be noted that a real-time power coordination difference below the tolerance range indicates an abnormality due to excessively rapid power attenuation. Conversely, a real-time power coordination difference above the tolerance range indicates that the current data was not included in the historical big data, meaning the channel has lower attenuation performance. Using this data to optimize the tolerance range ensures more accurate and reasonable subsequent analysis.

[0019] As one possible implementation, based on the compensation monitoring results, a selection analysis based on different compensation results is performed to form compensation selection analysis result data, including: the real-time channel output power values ​​corresponding to the calibrated paired cooperative deviation numbers. Perform single-channel power compensation processing to generate single-channel compensation data; and calculate the real-time channel output power value corresponding to the calibrated paired cooperative deviation numbers. Perform overall channel compensation processing to generate overall channel compensation data; based on the minimum output power coordination function... and the highest output power coordination function The average power difference of the output channels at each coordinating number is determined, and a coordinating output power equalization function is fitted. Based on the single-channel compensation data, a single-channel compensation output power coordination function is formed by fitting the data coordinates. And determine the single-channel compensated output power coordination function. Co-homogenization function with output power Single-channel compensation synergy matching value ,in, Based on the overall channel compensation data, a channel overall compensation output power coordination function is formed by fitting data coordinates. And determine the overall channel compensation output power coordination function. Co-homogenization function with output power Overall channel compensation synergy matching value ,in, ; Match the single-channel compensation coordination value Matching value of overall channel compensation coordination The compensation data corresponding to the minimum value in the range is determined as the selected compensation data.

[0020] In this invention, when an attenuation anomaly is detected during real-time transmission, compensation processing is required. Different compensation methods yield different results. This application compares and judges the compensation effects of two different compensation methods to make a selection. The comparison method is to determine whether the newly formed collaborative data after compensation better matches the median value within the tolerance range. After all, the output effect of the median value within the tolerance range is better. The matching degree is characterized by the cumulative difference with the median value. The higher the matching degree, the less the cumulative difference. Therefore, the compensation method with the smallest difference is selected as the optimal compensation method.

[0021] As one possible implementation, the real-time channel output power value corresponding to the calibrated paired cooperative deviation numbers is... Perform single-channel power compensation processing to generate single-channel compensation data, including: the output power values ​​of the two real-time channels corresponding to the coordination deviation number. Adjustments are made so that the newly formed output channel power difference is exactly equal to the lowest output power cooperative function. The corresponding values ​​are taken above, and the power difference between the two adjacent real-time output channels affected by the adjustment is within the minimum output power cooperative function. and the highest output power coordination function Within the defined range, the output power of all adjusted fiber optic channels is extracted to form single-channel compensation data.

[0022] In this invention, single-channel compensation is essentially processing the power of channels with abnormal attenuation. This requires considering whether the affected cooperative power differences after processing meet the requirements, i.e., are within the tolerance range. Of course, considering cost and resource utilization, the minimum limit requirement is met when the cooperative power difference after compensation of the two real-time power values ​​marked as cooperative deviation numbers reaches the minimum limit requirement.

[0023] As one possible implementation, the real-time channel output power value corresponding to the calibrated paired cooperative deviation numbers is... Perform overall channel compensation processing to generate overall channel compensation data. This includes: synchronously compensating and adjusting the output power values ​​of all fiber optic channels to ensure that the newly formed output channel power difference after compensation adjustment is exactly equal to the minimum output power coordination function. The corresponding values ​​are taken above, and the output channel power difference is guaranteed to be within the minimum output power coordination function in reality for other coordination numbers. and the highest output power coordination function Within the defined scope, the output power of all adjusted fiber optic channels is extracted to form overall channel compensation data.

[0024] In this invention, the overall channel compensation is mainly considered because compensation of a single channel may disrupt the overall data coordination. Therefore, the adjustment is to perform power compensation adjustment on all fiber optic channels, as long as the coordination difference after real-time power compensation of the two channels marked as coordination deviation numbers reaches the minimum limit requirement.

[0025] Secondly, the present invention provides a visual imaging system for transmission via optical fiber, comprising: a data acquisition unit for acquiring historical transmission power data and real-time optical fiber power data; a feature extraction unit for performing a coordinating analysis on the historical transmission power data acquired by the data acquisition unit to determine power coordinating tolerance data; a compensation analysis unit for performing compensation monitoring analysis on the real-time optical fiber power data acquired by the data acquisition unit combined with the power coordinating tolerance data formed by the feature extraction unit, forming compensation monitoring result information, and performing selection analysis based on different compensation results according to the compensation monitoring result information to form compensation selection analysis result data; and a compensation processing unit for acquiring the compensation selection analysis result data formed by the compensation analysis unit and performing power compensation processing.

[0026] In this invention, the system acquires historical big data through a data acquisition unit, providing a data foundation for the feature extraction unit to complete collaborative analysis and establish the permissible range of collaborative variations in output power between different fiber optic channels. Based on this, the compensation analysis unit judges the accuracy of real-time fiber optic power data and provides reasonable compensation and adjustment data. The different units are interconnected to form a close-knit whole, effectively ensuring the implementation of power compensation and providing an important material basis for reasonable and effective power compensation.

[0027] The beneficial effects of the visual imaging method and system transmitted via optical fiber provided by this invention are as follows: This method uses feature analysis based on historical data to determine the power attenuation fluctuations in the target optical fiber route during data transmission. These fluctuations are characterized by the coordination relationship between the power of different single-channel paths on the optical fiber line. This reflects both the overall allowable power attenuation magnitude and the coordinated power attenuation relationship between different channels, ensuring good coordination of the data transmitted from different channels after integration. During real-time monitoring, feature data is used to analyze the output power attenuation, and different attenuation compensation methods are compared to determine the optimal compensation data. This ensures the rationality and accuracy of power compensation, effectively guaranteeing the quality of optical fiber data transmission.

[0028] This system acquires historical big data through a data acquisition unit, providing a data foundation for the feature extraction unit to perform collaborative analysis and determine the permissible range of collaborative variations in output power between different fiber optic channels. Based on this, the compensation analysis unit judges the accuracy of real-time fiber optic power data and provides reasonable compensation adjustments. The different units are interconnected to form a close-knit whole, effectively ensuring the implementation of power compensation and providing an important material basis for reasonable and effective power compensation. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments of the present invention will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 A step diagram illustrating a visual imaging method using optical fiber transmission, provided as an embodiment of the present invention; Figure 2 This is a schematic diagram of a visual imaging system that transmits data via optical fiber, as provided in an embodiment of the present invention. Detailed Implementation

[0031] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention.

[0032] The core component of an optical fiber line is the optical fiber image bundle. Unlike a single communication fiber, it is a flexible bundle composed of tens or even hundreds of thousands of extremely thin individual optical fibers arranged in a regular pattern and fused together. Each of these individual fibers consists of a high-refractive-index core and a low-refractive-index cladding, guiding light based on the principle of total internal reflection. All fibers emit light signals carrying their own pixel information from the output end.

[0033] Currently, using fiber optic transmission for visual imaging is relatively mature, but power attenuation during transmission can affect image quality, and there is still no good result in how to perform reasonable attenuation monitoring and compensation.

[0034] refer to Figures 1-2This invention provides a visual imaging method for fiber optic transmission. This method uses feature analysis based on historical data to determine the power attenuation fluctuations in the target fiber optic route during data transmission. These fluctuations are characterized by the coordination relationship between the power of different single-channel paths on the fiber optic line. This reflects both the overall allowable power attenuation magnitude and the coordinated power attenuation relationship between different channels, ensuring good coordination of the data transmitted from different channels after integration. During real-time monitoring, feature data is used to analyze the output power attenuation, and different attenuation compensation methods are compared to determine the optimal compensation data. This ensures the rationality and accuracy of power compensation, effectively guaranteeing the quality of fiber optic data transmission.

[0035] A visual imaging method using fiber optic transmission specifically includes the following steps: S1: Obtain historical transmission power data, perform synergy analysis for different fiber bundles, and determine the power synergy tolerance data.

[0036] Historical transmission power data is acquired, and a synergy analysis is performed for different fiber bundles to determine the power synergy tolerance data. This includes: extracting the output power data of the target fiber route when transmitting data and the output image quality is within the allowable range, forming quality-effective historical output power data; extracting the effective range of output power from the quality-effective historical output power data to form effective output power data; and performing synergy analysis based on the effective output power data to form power synergy tolerance data.

[0037] Extracting power coordination tolerance data essentially involves extracting features of historical power transmission data in terms of output power. This data effectively characterizes the power attenuation of fiber optic data during transmission and reflects the coordination of output power between each channel in the entire fiber optic cable. The essence of coordination data is to ensure that even with power attenuation after transmission through fiber optics, the power of different fiber optic channels remains interconnected. This ensures that the overall visual coordination of the image is not degraded after converting the transmitted data from different channels into image information. Since historical data is continuous, feature extraction analysis primarily defines the allowable range of output power. Therefore, reasonable discrete information extraction from continuous historical data can ensure that the extracted data reasonably represents the characteristics of output power. It should be noted that image quality is used as a condition for defining the output power tolerance range. This condition value is relatively clear and can be determined through big data analysis of visual perception targeting image quality or through analysis of the overall pixel coordination of the image.

[0038] The effective range of output power is extracted from the historical effective output power data to form effective output power data. This includes: setting a discrete data volume threshold, and extracting data from the historical effective output power data in the following ways: marking different time points within any continuous time period, ensuring that the interval between time points is not less than the minimum effective time interval; ensuring that the extracted time points are always not less than the discrete data volume threshold; and extracting the output power of all fiber channels at each time point to form discrete point output power groups corresponding to different time points. , where n represents the number of the time point; output power group for all discrete points. This guarantees that there exists a discrete-point output power set corresponding to a given time point. The output power data with the lowest output image quality from the historical output power data of effective quality, and the corresponding discrete point output power groups at the time points. This refers to the output power data with the highest output image quality from the historical output power data.

[0039] Extracting effective output power based on historical big data requires consideration of two aspects. First, the provided effective output power must be able to definitively define the minimum and maximum output power achievable while ensuring the quality of the image results converted from the output data. Of course, these minimum and maximum values ​​are determined based on the best and worst, but still acceptable, image data for the entire fiber optic line. Second, considering data extraction based on historical big data, a sufficient amount of data is needed to ensure that the feature data extracted after collaborative analysis is representative, avoiding situations where the data volume is too small to confirm collaborative data, especially within the limiting boundary range. The threshold for discrete data volume can be set according to the actual situation. It should also be noted that the acquired historical output power data may not be continuous in terms of time parameters. Data for a given time period may be filtered out due to substandard output image quality. Therefore, when calibrating at time points, it's necessary to consider how to ensure the validity of extracted data across discontinuous time parameters. Typically, data from discontinuous time periods do not necessarily have consistent data, so data extraction from these discontinuous periods is not a concern. However, extraction from a continuous time period requires consideration, as short time intervals can lead to inconsistent data due to information stability. The minimum effective time interval can be set based on actual conditions or determined through analysis of the information transmission stability of a fixed fiber optic path. Since fiber optic data transmission relies on numerous individual fiber optic channels, the output power data acquired at each time point includes the output power information of all fiber optic channels.

[0040] Based on the effective output power data, a synergy analysis is performed to generate power synergy tolerance data, including: output power groups at different discrete points. Output power groups at discrete points are determined according to the numbering of different fiber optic channels. The corresponding output channel power values ​​at different discrete points Arrange them in order and determine the power values ​​of adjacent discrete output channels. Discrete point output channel power difference Where m represents the number of different fiber optic channels, k represents the cooperative number of different adjacent fiber optic channels mapped to the fiber optic channel number, and k < m; a data coordinate system is established with the number value and power difference value as parameters, and the power difference of the output channel is displayed at different discrete points. Mapped onto the data coordinate system, and data fitting is performed to form a discrete point output power set. Corresponding discrete point output power coordination curve ; Output power coordination curves at different discrete points Mapped to the same data coordinate system, and with boundary extraction and smoothing, a minimum output power cooperative function is formed. and the highest output power coordination function ; Set minimum output power cooperative function and the highest output power coordination function This generates power coordinating tolerance data.

[0041] The synergy analysis of the extracted effective output power data mainly determines two aspects. First, it defines the allowable range of output power variation under the premise that the output image quality meets requirements, i.e., it defines the deviation boundary of the output power. Second, it determines the power matching between different fiber optic channels under the premise that the image quality meets requirements. Different fiber optic channels may represent a small range of pixel information or the pixel information of a single pixel, and pixel information is usually based on the grayscale data of the image. If the pixel information difference between adjacent regions is too large, it may lead to unclear colors, unclear boundaries of objects in the image, and unidentifiable errors. Therefore, the synergy analysis of the output power between different fiber optic channels is necessary. Even if power attenuation occurs during transmission through the fiber optic line, good synergy of output power between different channels, especially adjacent channels, must be ensured. This application determines the corresponding output power by numbering the channels and uses the difference in output power between adjacent channels as a synergy quantification method. Of course, it is best to number the channels according to a certain channel arrangement order to avoid random sorting that would prevent adjacent channels from being placed together, thus making it impossible to obtain reasonable differences in output power between adjacent channels. It's understandable that after obtaining the output power difference between adjacent channels, the power difference data from the perspective of the entire fiber optic line characterizes the overall output power coordination. Therefore, the boundary curve formed by reasonable fitting processing is the tolerance boundary of coordination. It should be noted that the larger the amount of discrete output power data extracted, the more accurate the boundary data will be, and it can also confirm whether there are unachievable coordinated power regions within the boundary-defined range. Curve fitting can be done by simply smoothing a polygonal line or by fitting based on the principle of least squares. Furthermore, it should be noted that due to the performance differences between different fiber optic channels, the power attenuation of different channels varies. By performing boundary analysis of output power based on the acceptability of transmitted image quality, it can effectively ensure that the transmitted information of all channels is acceptable, effectively guaranteeing the quality of the output image.

[0042] S2: Collect real-time fiber optic power data, perform compensation monitoring and analysis based on power coordination tolerance data, and generate compensation monitoring result information.

[0043] Real-time fiber optic power data is collected, and compensation monitoring and analysis are performed based on power coordination tolerance data to generate compensation monitoring results, including: extracting real-time output power groups corresponding to different real-time acquisition points in the time dimension based on real-time fiber optic power data. ,in, , where i represents the number of the different real-time data collection point. This represents the real-time channel output power value of the fiber optic channel numbered m at the real-time acquisition point numbered i; for different real-time output power groups The real-time output channel power difference between adjacent real-time channel output power values ​​is determined; based on the different real-time output channel power differences, a fitting process is performed in the data coordinate system to form a real-time output power cooperative function. According to the real-time output power coordination function Minimum output power cooperative function and the highest output power coordination function Compensation monitoring and analysis are conducted to generate compensation monitoring results information.

[0044] Compensation monitoring and analysis primarily utilizes output power coordination tolerance data generated from big data analysis to determine whether unacceptable power attenuation affecting image quality has occurred during real-time data transmission in fiber optic lines. This allows for subsequent appropriate compensation based on the analysis of the attenuation. Compensation monitoring also involves data analysis of discrete real-time data extracted over time. Analyzing data from different fiber optic channels at each monitoring time point yields corresponding real-time power coordination data. Comparing this coordination data with the output power coordination tolerance data determines whether any power anomalies exist in the fiber optic channels.

[0045] Based on the real-time output power coordination function Minimum output power cooperative function and the highest output power coordination function Compensation monitoring and analysis are performed to generate compensation monitoring results, including: the real-time output power coordination function. Minimum output power cooperative function and the highest output power coordination function Mapped to the same data coordinate system, compensation monitoring and analysis are performed in the following manner: If there exists any cooperative number k such that the real-time output power cooperative function... The value of is lower than the minimum output power cooperative function. The corresponding value is used to calibrate the numbers of the two different fiber channels associated with the coordination number, and record them as the coordination deviation number; if there exists any coordination number k such that the real-time output power coordination function The value of is higher than that of the highest output power cooperative function. The corresponding value will be used as the highest output power coordination function, with the corresponding real-time output channel power difference as the coordination function. The new limit value at the corresponding coordination number is used to re-apply the highest output power coordination function. Perform fitting processing.

[0046] The main purpose of comparing the power tolerance data with the real-time output power coordination function is to determine whether there are any instances where the coordinated power falls below the tolerance boundary value at any coordination number. It's important to note that if the real-time power coordination difference is below the tolerance range, it indicates an abnormally rapid power attenuation. Conversely, if the real-time power coordination difference is above the tolerance range, it means the current data was not included in the historical big data, indicating that the channel has even lower attenuation performance. Using this data to optimize the tolerance range ensures more accurate and reasonable subsequent analysis.

[0047] S3: Based on the compensation monitoring results, conduct a selection analysis based on different compensation results to generate compensation selection analysis result data.

[0048] Based on the compensation monitoring results, a selection analysis is performed based on different compensation results to form compensation selection analysis result data, including: the real-time channel output power value corresponding to the calibrated paired cooperative deviation numbers. Perform single-channel power compensation processing to generate single-channel compensation data; and calculate the real-time channel output power value corresponding to the calibrated paired cooperative deviation numbers. Perform overall channel compensation processing to generate overall channel compensation data; based on the minimum output power coordination function... and the highest output power coordination function The average power difference of the output channels at each coordinating number is determined, and a coordinating output power equalization function is fitted. Based on the single-channel compensation data, a single-channel compensation output power coordination function is formed by fitting the data coordinates. And determine the single-channel compensated output power coordination function. Co-homogenization function with output power Single-channel compensation synergy matching value ,in, Based on the overall channel compensation data, a channel overall compensation output power coordination function is formed by fitting data coordinates. And determine the overall channel compensation output power coordination function. Co-homogenization function with output power Overall channel compensation synergy matching value ,in, ; Match the single-channel compensation coordination value Matching value of overall channel compensation coordination The compensation data corresponding to the minimum value in the range is determined as the selected compensation data.

[0049] If an attenuation anomaly is detected during real-time transmission, compensation is necessary. Different compensation methods yield different results. This application compares the effects of two different compensation methods to determine the optimal method. The comparison determines whether the newly formed collaborative data after compensation better matches the median value within the tolerance range. After all, the output effect of the median value within the tolerance range is better. The matching degree is characterized by the cumulative difference with the median value. The higher the matching degree, the less the cumulative difference. Therefore, the method with the smallest difference is selected as the optimal compensation method.

[0050] The real-time channel output power value corresponding to the calibrated pair of coordinated deviation numbers Perform single-channel power compensation processing to generate single-channel compensation data, including: the output power values ​​of the two real-time channels corresponding to the coordination deviation number. Adjustments are made so that the newly formed output channel power difference is exactly equal to the lowest output power cooperative function. The corresponding values ​​are taken above, and the power difference between the two adjacent real-time output channels affected by the adjustment is within the minimum output power cooperative function. and the highest output power coordination function Within the defined range, the output power of all adjusted fiber optic channels is extracted to form single-channel compensation data.

[0051] The essence of single-channel compensation is to process the power of the channel with abnormal attenuation. This requires considering whether the affected cooperative power difference after processing meets the requirements, i.e., is within the tolerance range. Of course, considering cost and resource utilization, the minimum limit requirement is met when the cooperative power difference after compensation of the two real-time power values ​​marked as cooperative deviation numbers reaches the minimum limit requirement.

[0052] The real-time channel output power value corresponding to the calibrated pair of coordinated deviation numbers Perform overall channel compensation processing to generate overall channel compensation data. This includes: synchronously compensating and adjusting the output power values ​​of all fiber optic channels to ensure that the newly formed output channel power difference after compensation adjustment is exactly equal to the minimum output power coordination function. The corresponding values ​​are taken above, and the output channel power difference is guaranteed to be within the minimum output power coordination function in reality for other coordination numbers. and the highest output power coordination function Within the defined scope, the output power of all adjusted fiber optic channels is extracted to form overall channel compensation data.

[0053] The overall channel compensation is mainly due to the fact that compensation of a single channel may disrupt the overall data coordination. Therefore, the adjustment is to perform power compensation adjustment on all fiber optic channels, as long as the coordination difference after real-time power compensation of the two channels marked as coordination deviation numbers reaches the minimum limit requirement.

[0054] S4: Perform power compensation based on the analysis results of the compensation selection.

[0055] After selecting the compensation method, the corresponding compensation data is used as a reference to compensate the input power, ensuring the rationality of the output power.

[0056] This invention also provides a visual imaging system transmitted via optical fiber, comprising: a data acquisition unit for acquiring historical transmission power data and real-time optical fiber power data; a feature extraction unit for performing a coherence analysis on the historical transmission power data acquired by the data acquisition unit to determine power coherence tolerance data; a compensation analysis unit for performing compensation monitoring analysis on the real-time optical fiber power data acquired by the data acquisition unit combined with the power coherence tolerance data formed by the feature extraction unit, generating compensation monitoring result information, and performing selection analysis based on different compensation results according to the compensation monitoring result information, generating compensation selection analysis result data; and a compensation processing unit for acquiring the compensation selection analysis result data generated by the compensation analysis unit and performing power compensation processing.

[0057] This system acquires historical big data through a data acquisition unit, providing a data foundation for the feature extraction unit to perform collaborative analysis and determine the permissible range of collaborative variations in output power between different fiber optic channels. Based on this, the compensation analysis unit judges the accuracy of real-time fiber optic power data and provides reasonable compensation adjustments. The different units are interconnected to form a close-knit whole, effectively ensuring the implementation of power compensation and providing an important material basis for reasonable and effective power compensation.

[0058] In summary, the beneficial effects of the visual imaging method and system transmitted via optical fiber provided by the embodiments of the present invention are as follows: This method uses feature analysis based on historical data to determine the power attenuation fluctuations in the target optical fiber route during data transmission. These fluctuations are characterized by the coordination relationship between the power of different single-channel paths on the optical fiber line. This reflects both the overall allowable power attenuation magnitude and the coordinated power attenuation relationship between different channels, ensuring good coordination of the data transmitted from different channels after integration. During real-time monitoring, feature data is used to analyze the output power attenuation, and different attenuation compensation methods are compared to determine the optimal compensation data. This ensures the rationality and accuracy of power compensation, effectively guaranteeing the quality of optical fiber data transmission.

[0059] This system acquires historical big data through a data acquisition unit, providing a data foundation for the feature extraction unit to perform collaborative analysis and determine the permissible range of collaborative variations in output power between different fiber optic channels. Based on this, the compensation analysis unit judges the accuracy of real-time fiber optic power data and provides reasonable compensation adjustments. The different units are interconnected to form a close-knit whole, effectively ensuring the implementation of power compensation and providing an important material basis for reasonable and effective power compensation.

[0060] In the embodiments of this application, "instruction" can include direct and indirect instructions, as well as explicit and implicit instructions. The information indicated by a certain piece of information is called the information to be instructed. In the specific implementation process, there are many ways to instruct the information to be instructed, such as, but not limited to, directly instructing the information to be instructed, such as the information to be instructed itself or its index. It can also indirectly instruct the information to be instructed by instructing other information, where there is a relationship between the other information and the information to be instructed. It can also instruct only a part of the information to be instructed, while the other parts are known or pre-agreed upon. For example, the instruction of specific information can be achieved by using a pre-agreed (e.g., protocol-defined) arrangement of various pieces of information, thereby reducing instruction overhead to some extent. At the same time, common parts of various pieces of information can be identified and uniformly indicated to reduce the instruction overhead caused by individually indicating the same information.

[0061] Furthermore, the specific indication method can also be any existing indication method, such as, but not limited to, the above-mentioned indication methods and their various combinations. Specific details of various indication methods can be found in existing technologies, and will not be repeated here. As described above, for example, when multiple pieces of information of the same type need to be indicated, the indication methods for different pieces of information may differ. In the specific implementation process, the required indication method can be selected according to specific needs. This application embodiment does not limit the selected indication method; therefore, the indication methods involved in this application embodiment should be understood to cover various methods that enable the party to be indicated to obtain the information to be indicated.

[0062] It should be understood that the information to be indicated can be sent as a whole or divided into multiple sub-information messages sent separately, and the sending period and / or timing of these sub-information messages can be the same or different. The specific sending method is not limited in this application embodiment. The sending period and / or timing of these sub-information messages can be predefined, for example, according to a protocol, or configured by the sending device by sending configuration information to the receiving device.

[0063] "Predefined" or "pre-configured" can be achieved by pre-saving corresponding codes, tables, or other means that can be used to indicate relevant information in the device. This application does not limit the specific implementation method. "Saving" can refer to saving in one or more memories. These memories can be separate installations or integrated into the encoder, decoder, processor, or communication device. Alternatively, some memories can be separately installed, while others are integrated into the decoder, processor, or communication device. The type of memory can be any form of storage medium, and this application does not limit this.

[0064] The “protocol” mentioned in the embodiments of this application may refer to a protocol family in the field of communication, a standard protocol with a similar protocol family frame structure, or a related protocol applied to future communication systems. The embodiments of this application do not specifically limit this.

[0065] In the embodiments of this application, descriptions such as "when," "under the circumstances," "if," and "if" all refer to the device making corresponding processing under certain objective circumstances, and are not limited to a specific time. They do not require the device to make a judgment action during implementation, nor do they imply any other limitations.

[0066] In the description of the embodiments of this application, unless otherwise stated, " / " indicates that the objects before and after are in an "or" relationship. For example, A / B can represent A or B. "And / or" in the embodiments of this application is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone, where A and B can be singular or plural. Furthermore, in the description of the embodiments of this application, unless otherwise stated, "multiple" refers to two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple. Additionally, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or order of execution, and that "first," "second," etc., are not necessarily different. Furthermore, in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate that something is being used as an example, illustration, or description. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner for ease of understanding.

[0067] It should be understood that the processor in the embodiments of this application can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0068] It should also be understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0069] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0070] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0071] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0072] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0073] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0074] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0076] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0077] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0078] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0079] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method of visual imaging by optical fiber transmission, characterized in that, The method comprises the following steps: acquiring historical transmission power data, performing a synergistic analysis for different fiber bundles, and determining power synergistic tolerance data; collecting real-time fiber power data, performing compensation monitoring analysis according to the power synergistic tolerance data, and forming compensation monitoring result information; performing selection analysis based on different compensation results according to the compensation monitoring result information, and forming compensation selection analysis result data; performing power compensation according to the compensation selection analysis result data.

2. The method of visual imaging through an optical fiber according to claim 1, wherein, The method of acquiring historical transmission power data, performing a synergistic analysis for different fiber bundles, and determining power synergistic tolerance data comprises the following steps: extracting, from the historical transmission power data, output power data of an object fiber route within an allowable range of output image quality during data transmission, forming quality-effective historical output power data; performing effective range extraction of output power on the quality-effective historical output power data, and forming effective output power data; performing a synergistic analysis according to the effective output power data, and forming the power synergistic tolerance data.

3. The method of visual imaging through an optical fiber according to claim 2, wherein, The method of performing effective range extraction of output power on the quality-effective historical output power data, and forming effective output power data comprises the following steps: setting a discrete data quantity threshold, and performing data extraction in the following manner in the quality-effective historical output power data: labeling different time points on any continuous time period, and ensuring that the interval between the time points is not less than a minimum effective time interval; the total number of extracted time points is not less than the discrete data quantity threshold; Extract the output power of all the fiber channels at each time point to form a discrete point output power group corresponding to different time points n represents the number of time points for all the discrete point output power groups guaranteeing that there exists a corresponding discrete point output power group is the output power data with the lowest output image quality in the quality effective historical output power data and a corresponding discrete point output power group is the output power data with the highest output image quality in the quality effective historical output power data.

4. The method of visual imaging through an optical fiber according to claim 3, wherein, The method of performing a synergistic analysis according to the effective output power data, and forming the power synergistic tolerance data comprises the following steps: different discrete point output power groups corresponding to different optical fiber channel numbers corresponding to different discrete point output channel power values arranged in order, and the discrete point output channel power difference values of adjacent discrete point output channel power values wherein m represents the number of different optical fiber channels, and k represents the number of different adjacent optical fiber channels corresponding to the number of optical fiber channels, and k A data coordinate system is established with the number value and the power difference value as parameters, and the power difference values of different discrete point output channels are mapped on the data coordinate system The data fitting is performed to form the discrete point output power group The corresponding discrete point output power collaborative curve ; Different discrete point output power synergy curves Map in the same data coordinate system, and perform boundary extraction and smoothing to form the lowest output power synergy function And the highest output power synergy function ; collecting the lowest output power synergy function and the highest output power synergy function forming the power synergy tolerance data.

5. The method of visual imaging through an optical fiber according to claim 4, wherein, The method of collecting real-time fiber power data, performing compensation monitoring analysis according to the power synergistic tolerance data, and forming compensation monitoring result information comprises the following steps: According to the real-time fiber power data, a real-time output power group corresponding to different real-time time collection points in a time dimension sequence is extracted wherein, i represents the number of different real-time time collection points, Pm(i) represents the real-time channel output power value of the fiber channel numbered m at the real-time time collection point numbered i. for different said real-time output power groups determining real-time output channel power difference values between adjacent in number different said real-time channel output power values; According to different real-time output channel power difference values, fitting processing is performed in the data coordinate system to form a real-time output power coordination function ; According to the real-time output power coordination function , the lowest output power coordination function , and the highest output power coordination function , compensation monitoring analysis is performed to form the compensation monitoring result information.

6. The method of visual imaging through an optical fiber according to claim 5, wherein, The compensation monitoring analysis is performed according to the real-time output power coordination function , the minimum output power coordination function , and the maximum output power coordination function , and the compensation monitoring result information is formed. mapping the real-time output power synergy function the lowest output power synergy function and the highest output power synergy function in the same data coordinate system and performing a compensatory monitoring analysis in the following manner: If there is any coordination number k such that the value of the real-time output power coordination function is lower than the value of the minimum output power coordination function at the corresponding point, then the numbers of the two different fiber channel associated with the coordination number are marked, and recorded as the coordination deviation number. If there is any coordination number k, such that the value of the real-time output power coordination function is higher than the corresponding value of the highest output power coordination function , the corresponding real-time output channel power difference value is taken as the new limit value of the highest output power coordination function at the corresponding coordination number, and the highest output power coordination function is fitted again.

7. The method of visual imaging through an optical fiber according to claim 6, wherein, The method of performing selection analysis based on different compensation results according to the compensation monitoring result information, and forming compensation selection analysis result data comprises the following steps: corresponding to the calibrated pair of the cooperative deviation numbers performing single-channel power compensation processing to form single-channel compensation data; corresponding to the calibrated pair of the cooperative deviation numbers performing channel overall compensation processing to form channel overall compensation data; determining the output channel average power difference at each of the synergy numbers according to the lowest output power synergy function and the highest output power synergy function , and fitting to form an output power synergy equalization function ; fitting in the data coordinates according to the single-channel compensation data to form a single-channel compensation output power synergy function , and determining the single-channel compensation output power synergy function , and determining the single-channel compensation output power synergy function , and determining the single-channel compensation output power synergy function , wherein ; fitting in the data coordinates to form a channel overall compensation output power synergy function according to the channel overall compensation data and determining the channel overall compensation output power synergy function and determining the channel overall compensation output power synergy function and determining the channel overall compensation output power synergy function wherein ; The compensation data corresponding to the minimum value among the single-channel compensation cooperativity matching value and the channel overall compensation cooperativity matching value is determined as the selected compensation data.

8. The method of visual imaging through an optical fiber according to claim 7, wherein, The real-time channel output power value corresponding to the calibrated pair of cooperative deviation numbers The single-channel power compensation processing is performed to form single-channel compensation data, including: corresponding to the two real-time channel output power values is adjusted so that the newly formed output channel power difference value is just equal to the lowest output power synergy function corresponding to the two real-time channel output power values and the highest output power synergy function is within the range defined by the lowest output power synergy function extracting the output power of all the adjusted fiber channels, and forming the single-channel compensation data.

9. The method of visual imaging through an optical fiber according to claim 8, wherein, The real-time channel output power value corresponding to the calibrated pair of cooperative deviation numbers The channel overall compensation processing is performed to form channel overall compensation data, comprising: synchronizing the compensation adjustment of the output power values of all the fiber channels so that the newly formed output channel power difference of the cooperative deviation number after compensation adjustment is exactly equal to the lowest output power cooperative function corresponding to the value, and ensuring that the real-time output channel power difference on other cooperative numbers is within the range defined by the lowest output power cooperative function and the highest output power cooperative function ​ extracting the output power of all the adjusted fiber channels, and forming the channel overall compensation data.

10. A visual imaging system by optical fiber transmission using the visual imaging method by optical fiber transmission according to any one of claims 1 to 9, characterized by, The method comprises the following steps: a data acquisition unit configured to acquire historical transmission power data and real-time fiber power data; a feature extraction unit configured to perform a synergistic analysis on the historical transmission power data acquired by the data acquisition unit, and determine power synergistic tolerance data; a compensation analysis unit configured to perform compensation monitoring analysis on the real-time fiber power data acquired by the data acquisition unit in combination with the power synergistic tolerance data formed by the feature extraction unit, form compensation monitoring result information, and perform selection analysis based on different compensation results according to the compensation monitoring result information, and form compensation selection analysis result data; a compensation processing unit configured to acquire the compensation selection analysis result data formed by the compensation analysis unit, and perform power compensation processing.

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