A flame-retardant optical cable reliability assessment method and system based on big data

Abstract

The present invention relates to the field of data processing technology, and more specifically, to a method and system for evaluating the reliability of flame-retardant optical cables based on big data. The method comprises: obtaining the communication frequency range of the flame-retardant optical cable and the frequency range of the noise surrounding the receiver; segmenting the communication frequency range based on the proportion of the frequency range of all noise in the communication frequency range, calculating the degree of noise interference on the optical signal in each frequency band, and determining a correction coefficient for the interference degree of the corresponding frequency band in combination with the distortion degree and attenuation amplitude of the optical signal in each frequency band, correcting the interference degree of the corresponding frequency band, performing a weighted summation of the bit error rate of the corresponding frequency band based on the correction value, and evaluating the quality of the optical cable based on the obtained weighted bit error rate. The present invention can reduce the impact of the noise in the environment surrounding the receiver on the evaluation result when evaluating the quality of the optical cable based on the bit error rate.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically, to a flame-retardant optical cable reliability assessment method and system based on big data. Background Art

[0002] With the rapid development of information technology, the reliability of optical fiber cables, the core transmission medium of modern communication networks, directly determines the stability and efficiency of communication systems. Especially in key sectors such as power generation, transportation, and the industrial internet, fiber optic cable quality issues can lead to signal interruptions, data transmission errors, and even major safety incidents. Therefore, accurately assessing the reliability of optical cables has become a key challenge in ensuring the efficient operation of communication systems.

[0003] The reliability of optical fiber cables is typically evaluated using the bit error rate (BER) of optical signals. However, due to the presence of various noises around the receiver, the BER is inaccurate, making reliable evaluation results unavailable. Therefore, eliminating the effects of noise around the receiver is crucial to achieving an accurate BER.

[0004] However, in related technologies, filters are often used to suppress the impact of environmental noise, but this method has obvious shortcomings. First, filter design needs to be based on the specific frequency domain characteristics of the noise. However, the types of noise in the actual environment are diverse and change dynamically, and a single filter cannot cover all noise characteristics. For example, a notch filter can only accurately eliminate fixed-frequency noise, but cannot eliminate randomly distributed broadband interference; although an adaptive filter can dynamically adjust its parameters, its convergence speed and stability are difficult to guarantee in complex noise scenarios. Second, when the noise and signal frequency bands overlap significantly, the filter may over-attenuate the effective signal components, resulting in impaired signal integrity, which in turn aggravates bit error rate distortion, causing the evaluation results to deviate from the actual reliability level, resulting in poor denoising effect and affecting the accuracy of the optical cable quality assessment results. Summary of the Invention

[0005] In order to solve the problem that the accuracy of the optical signal bit error rate is poor due to the presence of noise in the environment around the receiver, which in turn affects the accuracy of the optical cable quality assessment results, the present invention provides a flame-retardant optical cable reliability assessment method and system based on big data.

[0006] According to a first aspect of the present invention, a method for evaluating the reliability of a flame-retardant optical cable based on big data is provided, comprising:

[0007] Obtain the communication frequency range of the flame-retardant optical cable and the frequency range of the noise around the receiver;

[0008] Calculate the proportion of all noise frequency ranges in the communication frequency range, and based on the comparison result with the preset threshold, segment the communication frequency range according to the preset rules, and calculate the interference level of each frequency segment. The interference level represents the degree of noise interference to the optical signal in the corresponding frequency segment.

[0009] Calculate the correction coefficient of the interference level in each frequency band : ; For the The degree of distortion of the optical signal in a frequency band is the ratio of the maximum signal deviation to the average signal deviation of all sampling points; For the The attenuation amplitude of the optical signal within a frequency band, the attenuation amplitude is the ratio of the optical signal's drop amplitude to the fluctuation degree; is the normalization function; For the The evaluation index of each frequency band is the weighted average of the attenuation amplitude and the distortion degree; To preset hyperparameters;

[0010] The interference degree correction coefficient of each frequency band is used to correct the interference degree of the corresponding frequency band. The correction value is positively correlated with the correction coefficient. The bit error rate of the corresponding frequency band is weighted and summed using the correction value of the interference degree of each frequency band, and the quality of the optical cable is evaluated based on the obtained weighted bit error rate.

[0011] By calculating the degree of interference in each frequency band and combining it with the degree of distortion and attenuation of the optical signal in each frequency band, the present invention can accurately quantify the degree to which the optical signal in each frequency band is affected by noise. This allows the bit error rate of the optical signal in each frequency band to be weighted differently, reducing the influence of noise around the receiver, ensuring the accuracy of the obtained weighted bit error rate, and achieving accurate evaluation of the quality of the optical cable.

[0012] Preferably, the method for obtaining the attenuation amplitude includes:

[0013] Calculate the difference between the input frequency and the output frequency of the optical signal in any frequency band, and use the ratio of the difference to the input frequency as the drop amplitude of the optical signal in the frequency band;

[0014] The attenuation amplitude satisfies the relationship: ;

[0015] Where, For the The attenuation amplitude of the optical signal within a frequency band; For the The decrease amplitude of the optical signal within a frequency band; 、 Respectively The input signal and output signal of the optical signal in the frequency band are at the sampling time The signal value of represents the sign of the variance; is the preset hyperparameter.

[0016] The present invention utilizes the characteristics that the signal amplitude drop caused by noise fluctuates greatly, while the signal amplitude drop caused by cable quality problems fluctuates slightly. It can effectively distinguish the signal amplitude drops caused by the two, and provide an accurate data basis for subsequent analysis.

[0017] Preferably, the method for obtaining the degree of distortion includes:

[0018] Calculate the difference between the actual optical signal value and the ideal optical signal value at each sampling point in any frequency band, and use the difference as the signal deviation of the corresponding sampling point;

[0019] The ratio of the maximum signal deviation to the average deviation of all sampling points in the frequency band is used as the distortion degree of the optical signal in the frequency band.

[0020] The present invention utilizes the characteristics that signal distortion caused by noise may cause clipping and burrs, and signal deviation may have extreme values, and can effectively distinguish whether the cause of signal distortion is cable quality problems or noise.

[0021] Preferably, when weighted averaging the attenuation amplitude of the optical signal in each frequency band and the distortion degree of the optical signal in the corresponding frequency band, the weight of the attenuation amplitude and the weight of the distortion degree are both preset values, and the weight of the attenuation amplitude is greater than the weight of the distortion degree.

[0022] The present invention utilizes the characteristic that amplitude attenuation has a greater impact on transmission quality and sets a greater weight for the attenuation amplitude, thereby paying more attention to the signal amplitude attenuation situation.

[0023] Preferably, the interference level of any frequency band satisfies the following relationship:

[0024] ;

[0025] Where, For the The degree of interference in each frequency band; For the The signal-to-noise ratio of the optical signal within a frequency band; For the The distance between the center frequency of a frequency band and the center frequency of any noise; is the preset frequency attenuation coefficient; For the The power of the optical signal in a frequency band; is the symbol for variance; For the The average power of the optical signal in a frequency band; A function that returns the minimum value; is the preset hyperparameter.

[0026] The present invention determines the interference degree by integrating data from multiple aspects, thereby ensuring the accuracy of the determination result.

[0027] Preferably, the interference level of each frequency band is corrected by using the correction coefficient of the interference level of each frequency band, including:

[0028] The correction coefficient of the interference level of each frequency band is multiplied by the interference level of the corresponding frequency band to obtain the correction value of the interference level of each frequency band.

[0029] Preferably, when the proportion is less than a preset threshold, the communication frequency range is divided into several frequency segments according to a first preset rule, and the communication frequency range is divided into several frequency segments according to the first preset rule, including:

[0030] The frequency segment in the communication frequency range that is the same as the frequency range of all noises is used as the first division area, and the remaining area is used as the second division area;

[0031] The first divided area is divided by taking the frequency range length of the noise with the largest frequency range as the segment length, and the second divided area is divided according to a preset length to obtain a plurality of frequency segments.

[0032] Preferably, when the proportion is greater than or equal to a preset threshold, the communication frequency range is divided into several frequency segments according to a second preset rule, and the communication frequency range is divided into several frequency segments according to the second preset rule, including:

[0033] The frequency range length of the noise with the largest frequency range is used as the segment length, and the communication frequency range is uniformly divided to obtain several frequency segments of equal length.

[0034] Preferably, weighted summing of the bit error rates of the corresponding frequency segments using the correction values ​​of the interference levels of the frequency segments includes:

[0035] Normalizing the correction value of the interference level of each frequency band by using the cumulative sum of the correction values ​​of the interference levels of all frequency bands;

[0036] Based on the normalized value of the correction value of the interference degree of each frequency band, the bit error rate of the corresponding frequency band is nonlinearly weighted using an exponential function, and the weighted bit error rate is obtained by summing the weights.

[0037] According to a second aspect of the present invention, a flame-retardant optical cable reliability assessment system based on big data is provided. The system includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the first aspect of the present invention.

[0038] The present invention has the following effects:

[0039] The present invention can quantify the degree of interference of different types of noise on optical signals in each frequency band, and can effectively distinguish whether the value of the interference degree of each frequency band is caused by cable quality problems or noise based on the degree of distortion and attenuation of the optical signal in each frequency band. Based on the corrected interference degree, the degree to which each frequency band is affected by noise can be accurately evaluated, and a smaller weight can be set for the frequency band that is more affected by noise, so as to reduce the impact of noise on the bit error rate and improve the accuracy of the obtained weighted bit error rate. Therefore, based on the weighted bit error rate with higher accuracy, accurate evaluation of the optical cable quality can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an illustrative and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0041] Figure 1 The present invention is a flame retardant optical cable reliability evaluation method based on big data. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0043] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0044] Reference Figure 1 A flame-retardant optical cable reliability assessment method based on big data includes steps S1 to S4, specifically as follows:

[0045] S1: Obtain the communication frequency range of the flame-retardant optical cable and the frequency range of the noise around the receiver.

[0046] It should be noted that in the process of evaluating the quality of communication optical cables, optical signals are emitted by lasers, transmitted by communication optical cables, and received by receivers. The noise in the surrounding environment of the receiver, such as acoustic noise, background light noise, radio frequency noise, and electromagnetic interference, will affect the accuracy of the received optical signal. Therefore, the present invention collects the frequency range of the noise around the receiver to provide a data basis for subsequent analysis of the degree of interference of the noise on the optical signal.

[0047] Optionally, by deploying sound meters around the receiver, directional monitoring can be performed for different noise types (such as radio frequency noise, acoustic noise, etc.) to obtain the frequency range of the corresponding type of noise.

[0048] S2: Calculate the proportion of the frequency range of all noises in the communication frequency range, and based on the comparison result with the preset threshold, segment the communication frequency range according to the preset rules, and calculate the interference level of each frequency segment. The interference level represents the degree of interference of the optical signal in the corresponding frequency segment by the noise.

[0049] The frequency range of all noises refers to the range between the minimum frequency and the maximum frequency of all types of noises monitored around the receiver.

[0050] It should be noted that, given the limited range of noise, this invention uses frequency bands as the fundamental unit to measure the degree of interference with ambient noise on optical signals received by a receiver. When calculating the interference level for any frequency band, the optical signal within each frequency band refers to any randomly selected wavelength within the corresponding frequency band.

[0051] In an exemplary embodiment of the present invention, when the proportion of the frequency range of all noises in the communication frequency range is less than a preset threshold, such as 50%, the following steps can be performed to divide the communication frequency range according to the first preset rule:

[0052] The frequency segment in the communication frequency range that is the same as the frequency range of all noise is used as the first division area, and the remaining area is used as the second division area; the frequency range length of the noise with the largest frequency range is used as the segment length to divide the first division area, and the second division area is divided according to the preset length to obtain several frequency segments.

[0053] It's important to note that when the frequency range of all noise surrounding the receiver accounts for a small portion of the communication frequency range, the impact of the noise surrounding the receiver on the optical signal is relatively small. In this case, by distinguishing and employing different partitioning methods, we can target and fine-tune the frequency bands most affected by noise. This approach not only effectively measures the degree of noise interference on the optical signal, but also improves data processing efficiency and reduces resource waste. The partitioning method used for the first partitioned area can largely quantify the scope of noise impact.

[0054] Optionally, a preset length may be set based on the overall range length of the second divided area, so that the preset length can divide the second divided area into several frequency segments of equal length, such as four frequency segments.

[0055] In particular, if there is a frequency segment whose length is less than the segment length during the division process, the corresponding frequency segment is discarded.

[0056] In an exemplary embodiment of the present invention, when the proportion of the frequency range of all noises in the communication frequency range is greater than or equal to a preset threshold, such as 50%, the following steps can be performed to divide the communication frequency range according to the second preset rule:

[0057] The frequency range length of the noise with the largest frequency range is used as the segment length, and the communication frequency range is uniformly divided to obtain several frequency segments of equal length.

[0058] It should be noted that when the frequency range of all noise around the receiver accounts for a large proportion of the communication frequency range, it means that the noise in the environment around the receiver has a relatively large impact on all optical signals in the communication frequency band. At this time, the frequency range length of the noise with the largest frequency range is used as the segment length to uniformly divide the communication frequency range, which can comprehensively quantify the impact of the surrounding environment noise, thereby more effectively dealing with the impact of noise on optical signals.

[0059] Furthermore, after obtaining each frequency band, the interference level of the corresponding frequency band can be calculated by evaluating the influence of noise on the optical signal in each frequency band. Specifically, the interference level of each frequency band satisfies the following relationship:

[0060] ;

[0061] Where, For the The degree of interference in each frequency band; For the The signal-to-noise ratio of the optical signal within a frequency band; For the The distance between the center frequency of a frequency band and the center frequency of any noise; is the preset frequency attenuation coefficient. In this embodiment, =0.2×the bandwidth of flame-retardant optical cable; For the The power of the optical signal in a frequency band; is the symbol for variance; For the The average power of the optical signal in a frequency band; A function that returns the minimum value; It is a preset hyperparameter used to avoid the denominator being zero. In this embodiment .

[0062] It should be noted that the interference intensity of noise on optical signals decays with the increase of frequency distance, but the attenuation rate of different systems (such as single-mode optical fiber, multi-mode optical fiber, etc.) is significantly different. Therefore, the present invention sets the corresponding bandwidth of the flame-retardant optical cable based on the bandwidth of the flame-retardant optical cable. value, can match the frequency attenuation law of actual noise; and because the unit of frequency distance is Hz, and the signal-to-noise ratio is dimensionless data, resulting in dimension mismatch between data, therefore, by setting The frequency distance can also be converted into a dimensionless ratio to ensure that the various terms in the formula can be linearly superimposed.

[0063] Among them, if the signal-to-noise ratio of the optical signal in any frequency band is larger, that is, The larger the value of , the higher the clarity of the optical signal in any frequency band, which in turn indicates that the optical signal in this frequency band is less affected by noise, and the corresponding interference level in this frequency band is relatively low. It should be noted that the calculation process of the signal-to-noise ratio is a conventional technique and will not be described in detail in this embodiment.

[0064] It reflects the minimum value of the distance between the center frequency of the frequency band and the center frequency of each noise, and the relative difference with the preset frequency attenuation coefficient. When , it means that the frequency band is very close to the noise frequency, which further indicates that the optical signal in this frequency band is greatly affected by the noise. The value of is close to 0, so When the value of is close to 1, the optical signal is mainly interfered by noise. Therefore, the interference degree of the optical signal by noise in any frequency band can be evaluated based on the signal-to-noise ratio.

[0065] when When , it means that the distance between this frequency band and the noise frequency is far, which means that the optical signal in this frequency band is less interfered by the noise. The value of is close to 0. At this time, the interference of noise on the optical signal can be ignored, and the interference level of the corresponding frequency band is low.

[0066] It reflects the stability of the optical signal power. When the value is close to zero, it means that the optical signal is relatively stable, which further indicates that the system has a strong anti-interference ability. Close to 1, there is no need to increase the interference weight; and when When , it indicates that the system's anti-interference ability is low. At this time, by amplifying the evaluation results based on the signal-to-noise ratio and frequency distance, the degree of noise interference on the optical signal can be accurately evaluated.

[0067] In another embodiment, to avoid The influence of extreme values ​​when approaching zero can be expressed in the form of a logarithmic function, such as the relationship: , measures the relationship between the signal-to-noise ratio and interference level of the optical signal in each frequency band, where, is the symbol for the logarithmic function.

[0068] S3: Calculate the correction coefficient of the interference level in each frequency band.

[0069] It should be noted that when quality problems occur in the communication optical cable, the accuracy of the optical signal-to-noise ratio may be reduced, resulting in a higher determined interference level. Therefore, it is necessary to downwardly revise the interference level determined in step S2 to reduce the impact of the optical cable quality problem on the interference level of each frequency band.

[0070] It should be further explained that fiber optic cable quality issues typically lead to overall attenuation of the optical signal's amplitude, while noise interference typically causes random fluctuations in the optical signal's amplitude. Furthermore, fiber optic cable quality issues can cause systematic distortion and harmonic distortion in the signal fluctuations. Noise typically manifests as random glitches and spikes in the signal waveform. Therefore, the present invention calculates correction coefficients based on these distinguishing characteristics to accurately assess the impact of fiber optic cable quality issues and precisely correct the interference level in each frequency band.

[0071] Specifically, the correction coefficient of the interference level in any frequency band can be determined by the following steps:

[0072] Step 1: Calculate the power drop of the optical signal in any frequency band and the ratio of it to the fluctuation degree of the optical signal to obtain the attenuation amplitude of the optical signal;

[0073] In an exemplary embodiment of the present invention, the attenuation amplitude may be determined by the following steps:

[0074] (1) Calculate the difference between the input frequency and the output frequency of the optical signal in any frequency band, and take the ratio of the difference to the input frequency as the drop amplitude of the optical signal in the frequency band;

[0075] The input frequency refers to the actual frequency or wavelength of the optical signal before it enters the optical fiber; the output frequency refers to the actual frequency or wavelength of the optical signal after it is transmitted through the optical fiber and reaches the receiver.

[0076] Specifically, the decrease amplitude of the optical signal in any frequency band satisfies the following relationship:

[0077] ;

[0078] Where, For the The decrease amplitude of the optical signal within a frequency band; 、 Respectively The input frequency and output frequency of the optical signal in a frequency band.

[0079] in, The larger the value, the greater the decrease in the optical signal within the frequency band.

[0080] (2) The attenuation amplitude satisfies the relationship: Where, For the The attenuation amplitude of the optical signal within a frequency band; For the The decrease amplitude of the optical signal within a frequency band; 、 Respectively The input signal and output signal of the optical signal in the frequency band are at the sampling time The signal value of represents the sign of the variance; It is a preset hyperparameter used to prevent the denominator from being zero. .

[0081] It's important to note that while both noise and cable quality issues can cause optical signal fluctuations, noise-induced signal fluctuations typically exhibit randomness, resulting in large instantaneous fluctuation variance and small average variation. In contrast, signal fluctuations caused by cable quality issues typically manifest as an overall decrease in optical signal amplitude, with a smaller fluctuation variance. Therefore, the present invention utilizes this characteristic to effectively distinguish between optical signal attenuation caused by noise and cable quality issues.

[0082] Among them, when The bigger, and The smaller the time, the more The reason why the amplitude attenuation of the optical signal in a frequency band is large is more likely to be a problem with the optical cable quality; When it is smaller, it means that the reason why the amplitude attenuation of the optical signal in this frequency band is larger is more inclined to noise, so it can be based on The value quantifies the impact of optical cable quality problems on the optical signal amplitude in this frequency band.

[0083] Step 2: Calculate the ratio of the maximum signal deviation to the average signal deviation of all sampling points to obtain the distortion degree of the optical signal;

[0084] In an exemplary embodiment of the present invention, the determination of the degree of distortion may be achieved by the following steps:

[0085] The difference between the actual optical signal value and the ideal optical signal value at each sampling point in any frequency band is calculated and used as the signal deviation of the corresponding sampling point. The ratio of the maximum signal deviation to the average deviation of all sampling points in the frequency band is used as the distortion degree of the optical signal in the frequency band.

[0086] The actual optical signal value refers to a signal value extracted from a real optical signal; and the ideal optical signal value refers to a signal value extracted from an undistorted optical signal model.

[0087] It's important to note that when optical cable quality issues cause systematic distortion, the signal deviation at each sampling point remains constant. However, if noise distortion is present, the signal deviation at individual sampling points may be larger, while the overall signal deviation remains relatively stable. Therefore, the present invention utilizes this characteristic to accurately quantify the impact of optical cable quality issues on the optical signal waveform.

[0088] Specifically, the degree of distortion of the optical signal in any frequency band satisfies the following relationship:

[0089] ;

[0090] Where, For the The degree of distortion of the optical signal within a frequency band; For the In the frequency band The actual optical signal value of each sampling point; For the In the frequency band The ideal optical signal value of each sampling point; It is a function that returns the maximum value; The number of sampling points can be set according to the specific situation. This embodiment does not impose any special restrictions on the number of sampling points. is the absolute value symbol; It is a preset hyperparameter used to prevent the denominator from being zero. .

[0091] Among them, when Larger, and When is small, it means that there are abnormal points in the optical signal that are significantly higher than the average level, and the cause of optical signal distortion is more likely to be noise; when Close to When , it means that the signal value deviation of each sampling point is a fixed value, then the cause of optical signal distortion is more inclined to the quality of the optical cable, so we can The value is used to quantify the impact of optical cable quality problems on the optical signal waveform.

[0092] Step 3: Perform a weighted average of the attenuation amplitude and the distortion degree to obtain an evaluation index for the frequency segment, and calculate a correction coefficient for the interference degree for the frequency segment based on how close the evaluation index is to the attenuation amplitude.

[0093] In an exemplary embodiment of the present invention, when performing weighted averaging on the attenuation amplitude of the optical signal in each frequency band and the distortion degree of the optical signal in the corresponding frequency band, the weight of the attenuation amplitude and the weight of the distortion degree are both preset values, and the weight of the attenuation amplitude is greater than the weight of the distortion degree.

[0094] It should be noted that amplitude attenuation is usually closely related to quality issues such as optical cable aging and loose joints, and has a significant impact on the signal transmission quality of communication optical cables. Waveform distortion (such as harmonic distortion and pulse noise) is mostly related to noise interference. Although it has a greater impact on signal quality, amplitude changes are more critical in actual applications. Therefore, in this embodiment, the attenuation amplitude weight is set to be greater than the distortion degree weight to effectively distinguish between optical cable quality issues and noise interference.

[0095] Specifically, the evaluation index of any frequency band satisfies the relationship: Where, For the Evaluation index of each frequency band; For the The decrease amplitude of the optical signal within a frequency band; For the The degree of distortion of the optical signal within a frequency band; 、 are two preset weights. In this embodiment =0.7, =0.3, this embodiment is for and There is no special restriction on the value of > That's it.

[0096] It should be noted that if The value of When the values ​​of are close, it means that The optical signal in this frequency band is basically not distorted, and the amplitude of the optical signal in this frequency band is greatly attenuated, which can explain the cause of Value Bias The reason for the value is most likely that there is a quality problem with the optical cable. The value of When the values ​​of are close, it means that There is a large degree of distortion in the optical signal within a frequency band, and the amplitude of the optical signal within this frequency band decreases at a low level, which can explain the cause of Value Bias Therefore, the present invention combines this feature to determine the correction coefficient, which can further distinguish between optical cable quality problems and noise interference.

[0097] Specifically, the correction coefficient of the corresponding frequency band is calculated based on the evaluation index of each frequency band, satisfying the following relationship:

[0098] ;

[0099] Where, For the Correction coefficient of interference level in each frequency band; For the The attenuation amplitude of the optical signal within a frequency band; For the The degree of distortion of the optical signal within a frequency band; is the normalization function; For the Evaluation index of a frequency band.

[0100] Among them, when The value is close to When the value of The reason why the interference level of each frequency band is high is most likely due to the quality of the optical cable. The value of tends to zero, so that the interference level of this frequency band can be corrected to a greater extent to reduce the impact of optical cable quality problems.

[0101] Optional, when The value is close to The value of The reason why the interference level of each frequency band is high is probably due to noise. The value of tends to 1, so that the interference degree of the frequency band can be corrected to a small extent or not at all, so as to accurately measure the influence of noise on the optical signal in each frequency band.

[0102] S4: Use the correction coefficient of the interference degree of each frequency band to correct the interference degree of the corresponding frequency band. The correction value is positively correlated with the correction coefficient. The correction value of the interference degree of each frequency band is used to perform weighted summation on the bit error rate of the corresponding frequency band, and the optical cable quality is evaluated based on the obtained weighted bit error rate.

[0103] In an exemplary embodiment of the present invention, the correction value of the interference level of each frequency band may be determined by the following steps:

[0104] The correction coefficient of the interference level of each frequency band is multiplied by the interference level of the corresponding frequency band to obtain the correction value of the interference level of each frequency band.

[0105] Specifically, the correction value of the interference level of each frequency band satisfies the relationship: ; For the Correction value of interference level for each frequency band; For the The degree of interference in each frequency band; For the Correction coefficient for the interference degree of each frequency band.

[0106] In another embodiment, the relationship: Correct the interference level of each frequency band.

[0107] In an exemplary embodiment of the present invention, the weighted bit error rate may be determined by the following steps:

[0108] (1) Normalizing the correction value of the interference level of each frequency band by using the cumulative sum of the correction values ​​of the interference levels of all frequency bands;

[0109] It should be noted that, since the correction value of the interference degree of each frequency band is used as the weight, it is necessary to ensure that the sum of the correction values ​​of the interference degree of all frequency bands is 1. Therefore, the present invention uses the ratio of each correction value to the sum of all correction values ​​as the weight.

[0110] Specifically, the normalized value of the correction value of the interference level in any frequency band satisfies the following relationship:

[0111] ;

[0112] Where, For the Normalized value of the correction value of the interference degree of each frequency band; For the Correction value of interference level for each frequency band; is the number of frequency bands.

[0113] (2) Based on the normalized value of the correction value of the interference degree of each frequency band, the bit error rate of the corresponding frequency band is nonlinearly weighted using an exponential function, and the sum is calculated to obtain the weighted bit error rate.

[0114] Specifically, the weighted bit error rate Satisfies the relationship: Where, For the Normalized value of the correction value of the interference degree of each frequency band; For the The bit error rate of the optical signal in a frequency band. The process of determining this value is conventional and will not be described in detail in this embodiment. is a natural exponential function, where the natural exponential function refers to a function with a natural constant An exponential function with base ; is the number of frequency bands.

[0115] Optionally, when the average weighted bit error rate obtained within a fixed period of time, such as 1 minute, is higher than the system design or industry standard threshold (such as ), it can be determined that there are quality issues with the communication optical cable, allowing for accurate assessment of its reliability. The specific threshold needs to be dynamically adjusted based on the application scenario, cable type (e.g., single-mode fiber, multimode fiber), and transmission rate.

[0116] The present invention also provides a flame-retardant optical cable reliability assessment system based on big data. The system includes a memory and a processor, and a computer program is stored in the memory. The computer program integrates the functions of a flame-retardant optical cable reliability assessment method based on big data. When the computer program is executed, the flame-retardant optical cable reliability assessment method based on big data can reduce the influence of the noise in the surrounding environment of the receiver on the assessment results when the optical cable quality is assessed based on the bit error rate.

[0117] In the description of this specification, "multiple" and "several" mean at least two, such as two, three or more, etc., unless otherwise clearly defined.

[0118] While several embodiments of the present invention have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, variations, and alternatives will occur to those skilled in the art without departing from the concept and spirit of the present invention. It should be understood that various alternatives to the embodiments of the present invention described herein may be employed in practicing the present invention.

Claims

1. A flame-retardant optical cable reliability assessment method based on big data, characterized in that: include: Obtain the communication frequency range of the flame-retardant optical cable and the frequency range of the noise around the receiver; Calculate the proportion of the frequency range of all noises in the communication frequency range, and based on the comparison result of the proportion and the preset threshold, segment the communication frequency range according to the preset rule; when the proportion is less than the preset threshold, divide the communication frequency range into several frequency segments according to the first preset rule, including: taking the frequency segment that is the same as the frequency range of all noises in the communication frequency range as the first divided area, and taking the remaining area as the second divided area; taking the frequency range length of the noise with the largest frequency range as the segment length, dividing the first divided area, and dividing the second divided area according to the preset length to obtain several frequency segments; when the proportion is greater than or equal to the preset threshold, divide the communication frequency range into several frequency segments according to the second preset rule, including: taking the frequency range length of the noise with the largest frequency range as the segment length, uniformly dividing the communication frequency range to obtain several frequency segments of equal length; Calculate the interference level of each frequency band. The interference level represents the degree of noise interference on the optical signal in the corresponding frequency band. Calculate the correction coefficient of the interference level of each frequency band. : ; For the The degree of distortion of the optical signal in a frequency band is the ratio of the maximum signal deviation to the average signal deviation of all sampling points; For the The attenuation amplitude of the optical signal within a frequency band, the attenuation amplitude is the ratio of the optical signal's drop amplitude to the fluctuation degree; is the normalization function; For the The evaluation index of each frequency band is the weighted average of the attenuation amplitude and the distortion degree; To preset hyperparameters; The interference degree correction coefficient of each frequency band is used to correct the interference degree of the corresponding frequency band. The correction value is positively correlated with the correction coefficient. The bit error rate of the corresponding frequency band is weighted and summed using the correction value of the interference degree of each frequency band, and the quality of the optical cable is evaluated based on the obtained weighted bit error rate.

2. The flame-retardant optical cable reliability assessment method based on big data according to claim 1, characterized in that: The method for obtaining the attenuation amplitude includes: Calculating the difference between the input frequency and the output frequency of the optical signal in any frequency band, and taking the ratio of the difference to the input frequency as the drop amplitude of the optical signal in the frequency band; The attenuation amplitude satisfies the relationship: ; Where, For the The attenuation amplitude of the optical signal within a frequency band; For the The decrease amplitude of the optical signal within a frequency band; 、 Respectively The input signal and output signal of the optical signal in the frequency band are at the sampling time The signal value of represents the sign of the variance; is the preset hyperparameter.

3. The flame-retardant optical cable reliability assessment method based on big data according to claim 1, characterized in that: The method for obtaining the degree of distortion includes: Calculate the difference between the actual optical signal value and the ideal optical signal value at each sampling point in any frequency band, and use the difference as the signal deviation of the corresponding sampling point; The ratio of the maximum signal deviation to the average deviation of all sampling points in the frequency band is used as the distortion degree of the optical signal in the frequency band.

4. The flame-retardant optical cable reliability assessment method based on big data according to claim 2 or 3, characterized in that: When weighted averaging the attenuation amplitude of the optical signal in each frequency band and the distortion degree of the optical signal in the corresponding frequency band, the weight of the attenuation amplitude and the weight of the distortion degree are both preset values, and the weight of the attenuation amplitude is greater than the weight of the distortion degree.

5. The flame-retardant optical cable reliability assessment method based on big data according to claim 1, characterized in that: The degree of interference in any frequency band satisfies the following relationship: ； Where, For the The degree of interference in each frequency band; For the The signal-to-noise ratio of the optical signal within a frequency band; For the The distance between the center frequency of a frequency band and the center frequency of any noise; is the preset frequency attenuation coefficient; For the The power of the optical signal in a frequency band; is the symbol for variance; For the The average power of the optical signal in a frequency band; A function that returns the minimum value; is the preset hyperparameter.

6. The flame-retardant optical cable reliability assessment method based on big data according to claim 5, characterized in that: The correction coefficient of the interference level of each frequency band is used to correct the interference level of the corresponding frequency band, including: The correction coefficient of the interference level of each frequency band is multiplied by the interference level of the corresponding frequency band to obtain the correction value of the interference level of each frequency band.

7. The flame-retardant optical cable reliability assessment method based on big data according to claim 1, characterized in that: The weighted summing of the bit error rates of the corresponding frequency segments using the correction values ​​of the interference levels of the frequency segments includes: Normalizing the correction value of the interference level of each frequency band by using the cumulative sum of the correction values ​​of the interference levels of all frequency bands; Based on the normalized value of the correction value of the interference degree of each frequency band, the bit error rate of the corresponding frequency band is nonlinearly weighted using an exponential function, and the weighted bit error rate is obtained by summing the weights.

8. A flame-retardant optical cable reliability assessment system based on big data, characterized in that: The system includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps of the flame-retardant optical cable reliability assessment method based on big data as described in any one of claims 1 to 7.

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