A 5G communication optical cable life prediction method and system based on big data

Abstract

The present invention relates to the field of data processing, and particularly to a method and system for predicting the lifespan of 5G communication optical cables based on big data. The method includes: collecting optical cable signal data in real time, and calculating the attenuation degree and vibration influence degree of the current optical cable transmission; the data includes the attenuation amount and vibration acceleration of the optical cable; preset a sliding window, the last signal in the sliding window is the current optical cable signal, and calculate the smoothing parameter of each optical cable signal in each vibration direction based on the attenuation degree and vibration influence degree of each optical cable signal in the sliding window; use the smoothing parameter of each optical cable signal in each vibration direction in the sliding window to weighted average the corresponding attenuation amount to obtain the prediction result of the optical cable lifespan. By evaluating the optical cable state from multiple dimensions, the present invention can comprehensively and accurately reflect the actual operating state of the optical cable, thereby improving the accuracy of lifespan prediction.

Description

Technical Field

[0001] The present invention relates to the field of data processing. More specifically, the present invention relates to a method and system for predicting the lifespan of 5G communication optical cables based on big data. Background Art

[0002] With the rapid expansion and application of 5G networks, 5G communication optical cables have become an indispensable infrastructure for supporting information transmission. Their performance and lifespan are directly related to the stability and reliability of the network. However, most of these optical cables are installed in high-altitude areas. Facing complex and changing external environmental factors, the attenuation problem of optical cables has become increasingly prominent. Attenuation not only means a weakening of the signal strength but may also lead to an increase in the data transmission error rate, affecting the overall performance of the network. More importantly, the attenuation degree of the optical cable is closely related to its service life. As the optical cable ages, its ability to resist external interference gradually decreases, and the attenuation problem becomes more serious.

[0003] Currently, the monitoring of optical cables mainly relies on regular manual inspections. Due to the periodicity and limitations of manual inspections, it is often difficult to achieve full coverage and real-time monitoring of optical cable lines, thus increasing the risk of optical cable failures and maintenance costs. With the rapid deployment of 5G networks, the number of optical cables has increased exponentially, and the traditional manual inspection method can no longer meet the actual needs.

[0004] Although the traditional weighted average algorithm can capture the signal attenuation trend by assigning higher weights to recent attenuation data and predict future attenuation values based on this, this method has certain limitations: it fails to fully consider the signal attenuation differences caused by the influence of vibration on the optical cable in different directions. This directional difference often has a significant impact on the accuracy of the prediction results in actual application scenarios. Summary of the Invention

[0005] To solve the technical problem that the above-mentioned traditional weighted average algorithm cannot accurately reflect the influence of vibration in different directions on signal attenuation, resulting in inaccurate prediction results of the lifespan of optical cables, the present invention provides solutions in the following aspects.

[0006] In a first aspect, a method for predicting the lifespan of 5G communication optical cables based on big data includes:

[0007] Real-time collect optical cable signal data, and calculate the current attenuation degree and vibration influence degree of the optical cable transmission; the data includes the attenuation amount and vibration acceleration of the optical cable.

[0008] Preset a sliding window, and the last signal in the sliding window is the current optical cable signal. Calculate the smoothing parameter of each optical cable signal in each vibration direction based on the attenuation degree and vibration influence degree of each optical cable signal in the sliding window.

[0009] The predicted result of the optical cable life is obtained by weighted averaging the attenuation corresponding to each optical cable signal in each vibration direction within a sliding window, and the predicted result is:

[0010] ; where represents the predicted value of the optical cable life; represents the predicted value of the attenuation of the current optical cable signal transmitted in the th vibration direction, represents the minimum value of the historical attenuation, is the total number of the vibration directions; the predicted value of the attenuation is obtained by the weighted average.

[0011] First, the present invention collects the attenuation and vibration acceleration data of the optical cable in real time. Through the analysis of these data, the attenuation degree and the vibration influence degree of the current optical cable transmission are calculated. Then, the smoothing parameters of each optical cable signal in each vibration direction within a preset sliding window are used to perform weighted averaging on the corresponding attenuation, fully considering the influence of different vibration directions on the optical cable attenuation. The multi-dimensional comprehensive analysis can more comprehensively evaluate the performance change of the optical cable and improve the accuracy of life prediction.

[0012] Preferably, the predicted result further includes:

[0013] When the predicted value of the life is greater than a preset threshold, a warning is triggered.

[0014] After the warning is triggered, the maintenance team can respond quickly, repair or replace the optical cable that may be about to fail, thereby significantly reducing the service interruption time caused by optical cable failures and ensuring the stability and continuity of the network.

[0015] Preferably, the process of obtaining the attenuation degree includes:

[0016] Calculating the absolute difference between the attenuation of the current optical cable transmission and the historical minimum attenuation;

[0017] Calculating the change ratio of the attenuation of the current optical cable transmission compared with the historical average attenuation for several times;

[0018] Taking the product of the absolute difference and the change ratio as the attenuation degree of the current optical cable transmission.

[0019] By calculating the absolute difference between the attenuation of the current optical cable transmission and the historical minimum attenuation, the performance change of the optical cable at the current moment compared with its best state can be keenly captured, and even a small increase in attenuation can be accurately identified; calculating the change ratio of the attenuation of the current optical cable transmission compared with the historical average attenuation for several times can reflect the evolution trend of the optical cable attenuation over time.

[0020] It takes into account both the gap between the current attenuation and the optimal state and the relative change between the current attenuation and the long-term average state, and can more accurately reflect the actual change of the optical cable transmission performance.

[0021] Preferably, the process of obtaining the vibration influence degree includes:

[0022] Calculate the ratio of the vibration acceleration in each vibration direction to the maximum vibration acceleration in the corresponding vibration direction history and perform normalization processing to obtain the vibration influence degree of the current optical cable transmission in each vibration direction.

[0023] By calculating the ratio of the vibration acceleration in each vibration direction to the maximum vibration acceleration in the corresponding vibration direction history and performing normalization processing, vibrations in different directions and of different intensities can be converted into a relatively unified quantitative index, that is, the vibration influence degree. Furthermore, the relative position of the current vibration situation in the historical data can be clearly seen. If the current vibration influence degree is close to or exceeds the historical higher level, it may mean that the optical cable faces greater potential risks.

[0024] Preferably, the smoothing parameter satisfies the relational expression:

[0025] ; In the formula, is the smoothing parameter of the th optical cable signal in the nd vibration direction within the sliding window, is the attenuation degree of the th optical cable signal within the sliding window, is the vibration influence degree of the th optical cable signal in the nd vibration direction within the sliding window, is the standard deviation of the product of the attenuation degree of each optical cable signal within the sliding window and its vibration influence degree in the th vibration direction.

[0026] By combining the attenuation degree and the vibration influence degree of the optical cable signal, weighted processing is performed on the signal to smooth the signal fluctuations. Secondly, by introducing the standard deviation, the discrete degree of the signal attenuation and the vibration influence degree can be reflected, enabling the smoothing parameter to dynamically adjust the smoothing degree according to the volatility of the signal. Thus, the signal can be effectively smoothed, noise can be suppressed, important features can be highlighted, and the stability and reliability of signal processing can be improved.

[0027] Preferably, the process of obtaining the attenuation degree includes:

[0028] Calculate the difference between the current attenuation of the optical cable transmission and the historical average attenuation.

[0029] Take the ratio of the difference value to the historical average attenuation as the attenuation degree of the current optical cable transmission.

[0030] Preferably, the vibration influence degree satisfies the relational expression as:

[0031] ; In the formula, is the vibration influence degree of the th vibration direction during the current optical cable transmission, is the vibration acceleration of the th vibration direction during the current optical cable transmission, is the maximum vibration acceleration of the th vibration direction during the historical optical cable transmission, is the peak factor of the th vibration direction during the current optical cable transmission, is the number of vibration directions.

[0032] By calculating the peak factor, the significance of the peak in the vibration signal can be characterized. During the optical cable transmission, a higher peak factor means that there are more obvious peaks in the vibration signal, which may correspond to sudden and high-intensity vibration events and have a more significant impact on the optical cable transmission.

[0033] Introducing the peak factor can not only reflect the extreme characteristics of the vibration signal but also improve the sensitivity and accuracy of the evaluation through a weighted method, thus providing an important guarantee for the stability and reliability of the optical cable transmission.

[0034] Preferably, the peak factor is the ratio of the peak value reached by the vibration influence degree of the th vibration direction during the current optical cable transmission to its root mean square value.

[0035] Preferably, the predicted value of the attenuation of the current optical cable signal transmitted in the th vibration direction satisfies the relational expression as:

[0036] ; In the formula, is the predicted value of the attenuation of the current optical cable signal transmitted in the th vibration direction, is the smoothing parameter of the th optical cable signal in the th vibration direction within the sliding window, is the attenuation of the th optical cable signal within the sliding window, is the number of optical cable signals within the sliding window.

[0037] Second aspect, a 5G communication optical cable life prediction system based on big data, comprising: a processor and a memory, the memory storing computer program instructions, which when executed by the processor implement any one of the 5G communication optical cable life prediction methods based on big data.

[0038] The beneficial effects of the present invention are:

[0039] By collecting optical cable signal data in real time, comprehensively considering multiple key parameters such as the attenuation amount and vibration acceleration of the optical cable, and evaluating the optical cable status from multiple dimensions, it can more comprehensively and accurately reflect the actual operating conditions of the optical cable compared to single-parameter prediction, thereby improving the accuracy of life prediction.

[0040] Calculate a smoothing parameter based on the attenuation degree and vibration influence degree of each optical cable signal within the sliding window, and use this parameter to perform weighted averaging on the attenuation amount to obtain the prediction result. This processing method can effectively smooth data fluctuations, reduce noise interference, make the prediction result more stable and reliable, and closer to the actual life situation of the optical cable. Description of the Drawings

[0041] Figure 1 is a flowchart of the method of steps S1 - S3 in a 5G communication optical cable life prediction method based on big data according to an embodiment of the present invention. Detailed Embodiments

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention.

[0043] Referring to Figure 1 , a 5G communication optical cable life prediction method based on big data includes steps S1 - S3, specifically as follows:

[0044] S1: Collect optical cable signal data in real time, and calculate the attenuation degree and vibration influence degree of the current optical cable transmission; the data includes the attenuation amount and vibration acceleration of the optical cable.

[0045] The communication optical cable is fixedly connected through a tower, and uses internal optical fibers to transmit optical power to achieve full coverage of regional communication.

[0046] Optical power sensors are respectively installed at the optical cable clamp positions at the start end (input end) and the end end (output end) of the tower. The acquisition frequency of the optical power sensor at the input end is preset to be acquired once per second, and the acquisition frequency of the optical power sensor at the output end is determined according to the transmission delay time of the optical power from the input end to the output end, that is, once per second plus the delay time. Here, the delay time is the quotient of the optical cable length divided by the refractive index of the speed of light in the internal optical fiber of the optical cable.

[0047] Through the above acquisition process, an input optical power sequence and a corresponding output optical power sequence can be obtained. By taking the absolute value of the difference between the optical powers at the corresponding positions of these two sequences, the attenuation of the optical cable signal at each acquisition can be obtained.

[0048] Considering that the environment where the optical cable is located (such as wind speed, icing, etc.) may cause the optical cable to vibrate, a three-axis vibration acceleration sensor is installed in the area of the optical cable clamp fixed at the starting end of the iron tower to collect the vibration acceleration data of the optical cable in three vibration directions: vertical, lateral, and diagonal at a frequency of once per second.

[0049] The above signal attenuation can preliminarily evaluate the transmission performance and service life of the optical cable. At the same time, by collecting the vibration acceleration data of the optical cable in different directions, the dynamic changes in the environment where the optical cable is located and the impact of these changes on the transmission performance of the optical cable can be understood.

[0050] In the absence of external interference, the attenuation of the optical cable transmission signal is mainly determined by the refractive index of the optical cable. This attenuation is relatively small and stable. When the optical cable is subjected to external vibration or mechanical stress, the optical fiber may undergo minute deformation, which will cause the optical signal to be further scattered or absorbed, thereby exacerbating the signal attenuation.

[0051] In one embodiment, in order to quantify this impact, by calculating the absolute difference between the current attenuation and the historical minimum attenuation, and the relative change between the current attenuation and the average of the previous several attenuations, the attenuation degree of the current optical cable transmission is evaluated. Then, the attenuation degree of the current optical cable transmission satisfies the relational expression:

[0052]

[0053] In the formula, is the attenuation degree of the current optical cable transmission, is the minimum value of the historical attenuation, is the attenuation of the current optical cable transmission, represents the total number of historical optical cable transmissions referred to before the current optical cable transmission (in the embodiment of the present invention, the initial value is 50 or 100), is the attenuation of the

[0054] Among them, calculates the absolute difference between the current attenuation and the historical minimum attenuation. The larger the absolute difference, the higher the attenuation of the current optical cable transmission is far above the normal level, which may be due to the deformation of the optical fiber caused by external interference; calculates the average attenuation of the previous optical cable transmissions, The change ratio of the current attenuation with respect to the average attenuation in the previous several times is calculated. A relatively large ratio means that the attenuation of the current optical cable transmission has increased significantly compared to the previous several times, further indicating a strong external interference.

[0055] In summary, if has a larger value, it indicates that the attenuation during the current optical cable transmission has increased significantly compared to the ideal situation, and this increase has a greater fluctuation compared to the attenuation in the previous several transmissions, meaning that the current optical cable transmission is subject to strong mechanical stress interference.

[0056] In another embodiment, a calculation method different from the above-mentioned attenuation degree of the current optical cable transmission is provided, that is, the relational expression is satisfied as:

[0057]

[0058]

[0059] In the formula, is the attenuation degree of the current optical cable transmission, is the attenuation of the current optical cable transmission, represents the historical average attenuation, represents the total number of historical optical cable transmissions referred to before the current optical cable transmission (in the embodiment of the present invention, the initial value is 50 or 100), is the th attenuation of the historical optical cable transmission. Among them, when the attenuation degree of the current optical cable transmission is greater than 0, it indicates that the current optical cable attenuation accelerates, and vice versa, the attenuation slows down.

[0060] It should be noted that vibrations in different directions will affect signal attenuation in different ways. For example, severe vibrations in the vertical direction will longitudinally stretch the optical fiber, and the optical fiber will bend significantly under its own gravity, resulting in a greater impact on signal attenuation in this direction. Therefore, analyze the change of vibration data in different directions during the current optical cable transmission compared to a specific direction to evaluate the vibration influence degree in the actual specific direction of the current optical cable transmission.

[0061] In one embodiment, for the current optical cable transmission, obtain the vibration acceleration data in different vibration directions during its transmission process, calculate the ratio of the vibration acceleration in each vibration direction to the maximum vibration acceleration in the corresponding vibration direction in history and perform normalization processing to obtain the vibration influence degree of the current optical cable transmission in each vibration direction. Then the vibration influence degree of the current optical cable transmission in each vibration direction satisfies the relational expression as:

[0062]

[0063] In the formula, is the The influence degree of vibration in a vibration direction is the vibration acceleration in the th vibration direction during the current optical cable transmission is the maximum vibration acceleration in the th vibration direction during the historical optical cable transmission is the number of vibration directions (in the embodiment of the present invention, namely the three vibration directions of vertical, horizontal, and oblique).

[0064] Among them, represents the ratio of the vibration acceleration in the th vibration direction during the current optical cable transmission to the historical maximum vibration acceleration in this direction, reflecting the relative intensity of the current vibration in this direction; represents the sum of the ratios of the vibration accelerations in all directions during the current optical cable transmission to their respective historical maximum vibration accelerations, reflecting the comprehensive vibration intensity of the current optical cable transmission in all directions.

[0065] The larger the value, the greater the contribution of the vibration to signal attenuation in the

[0066] th vibration direction, that is, this direction is more likely to cause situations such as fiber bending, and the greater the influence on signal transmission.

[0066] In another embodiment, the influence degree of the current optical cable transmission in each vibration direction satisfies the relational expression:

[0067]

[0068] In the formula, is the influence degree of the vibration in the th vibration direction during the current optical cable transmission is the vibration acceleration in the th vibration direction during the current optical cable transmission is the maximum vibration acceleration in the th vibration direction during the historical optical cable transmission is the peak factor of the vibration in the th vibration direction during the current optical cable transmission is the number of vibration directions.

[0069] Among them, satisfies the relational expression:

[0070]

[0071] In the formula, is the peak value of the vibration acceleration in the th vibration direction during the current optical cable transmission is the root mean square value of the peak value of the vibration acceleration in the th vibration direction during the current optical cable transmission process.

[0072] Furthermore, according to the above calculation method, similarly, the vibration influence degree in other vibration directions during the current optical cable transmission process can be obtained.

[0073] S2: Preset a sliding window. The last signal in the sliding window is the current optical cable signal. Calculate the smoothing parameter of each optical cable signal in each vibration direction based on the attenuation degree and vibration influence degree of each optical cable signal in the sliding window.

[0074] Considering that the vibration in different directions has different influence degrees on the optical cable signal, directly performing a smoothing operation on the attenuation amount of each signal transmission will blur the importance of some directions that have a greater impact on signal attenuation. Therefore, a higher smoothing parameter value is assigned to the directions with a greater impact on signal attenuation to prevent the vibration changes in these directions from being over-processed by the smoothing operation and maintain their influence on the signal.

[0075] Specifically, for the current optical cable transmission, preset a sliding window with a size of N (in the embodiment of the present invention, N = 50 is set). The last signal in the window is the current optical cable signal. Similarly, obtain the attenuation degree corresponding to each optical cable signal in the sliding window and the vibration influence degree in each vibration direction according to the attenuation degree and vibration influence degree of the optical cable transmission calculated in the above S1, and further calculate the smoothing coefficient of each optical cable signal in the sliding window in the corresponding vibration direction. Then, the smoothing coefficient of each optical cable signal in the sliding window in the corresponding vibration direction satisfies the relational expression as follows:

[0076]

[0077] In the formula, is the smoothing parameter of the th optical cable signal in the th vibration direction, is the attenuation degree of the th optical cable signal in the sliding window, is the vibration influence degree of the th optical cable signal in the th vibration direction, is the standard deviation of the product of the attenuation degree of each optical cable signal in the sliding window and its vibration influence degree in the th vibration direction.

[0078] Among them, Reflects the importance of any optical cable signal's vibration in a specific direction within the sliding window corresponding to the current optical cable signal for signal transmission. The larger this value, the more significant the impact of the signal's vibration in this direction within the sliding window on signal attenuation. The larger the value of , it indicates that during the transmission of the th optical cable signal within the sliding window, the attenuation is caused by the excessive influence of the th vibration direction on the signal, meaning that the local area is likely to be affected by this direction as well. Therefore, a larger smoothing parameter needs to be increased to enhance the sensitivity to this direction

[0079] According to the above calculation method, the smoothing parameters of all optical cable signals within the smoothing window in each vibration direction can be obtained in the same way.

[0080] S3: Weight the attenuation of the optical cable signal using the smoothing parameters of each optical cable signal in each vibration direction to obtain the predicted result of the optical cable life.

[0081] First, determine the attenuation of each optical cable signal within the current sliding window. Use the smoothing parameter of each optical cable signal in any vibration direction to weight and average the attenuation of each optical cable transmission to obtain the predicted value of the attenuation of the current optical cable signal in this direction, that is, the relational expression is satisfied as:

[0082]

[0083] In the formula, is the predicted value of the attenuation of the current optical cable signal in the th vibration direction, is the smoothing parameter of the th optical cable signal within the sliding window in the th vibration direction, is the attenuation of the th optical cable signal within the sliding window, is the number of optical cable signals within the sliding window.

[0084] Next, add up the predicted values of the attenuation in each vibration direction to obtain the total predicted value of the attenuation of the optical cable signal. Further, use the minimum value of the historical attenuation and the total predicted value of the attenuation to calculate the predicted value of the optical cable life, that is, the relational expression is satisfied as:

[0085]

[0086] In the formula, represents the predicted value of the optical cable life; represents the predicted value of the attenuation of the current optical cable signal in the th vibration direction, Indicates the minimum value of historical attenuation is the total number of the vibration directions.

[0087] By comprehensively considering the attenuation of all signals within the sliding window based on the current optical cable signal, the performance change of the optical cable under the current usage environment can be evaluated more accurately, thereby providing a more reliable decision-making basis for the maintenance and replacement of the optical cable.

[0088] The larger the value of , the more serious the performance deterioration of the current optical cable, and the shorter the remaining service life of the optical cable may be.

[0089] In order to be able to detect the abnormal change of the optical cable performance in time, a threshold value of 0.7 is set. When the value exceeds 0.7, the system will automatically issue an alarm. After receiving the alarm, the maintenance personnel will take some preventive maintenance measures according to the actual situation (such as inspecting, cleaning, repairing or replacing some damaged components of the optical cable, etc.), thereby extending the service life of the optical cable.

[0090] The system includes a processor and a memory. The memory stores computer program instructions, which when executed by the processor implement the method for predicting the life of a 5G communication optical cable based on big data according to the first aspect of the present invention.

[0091] The system also includes other components well-known to those skilled in the art such as a communication bus and a communication interface, and their settings and functions are known in the art, so they will not be elaborated here.

[0092] It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of this invention patent shall be subject to the appended claims.

Claims

1. A 5G communication optical cable life prediction method based on big data, characterized in that: include: Collect optical cable signal data in real time to calculate the attenuation degree and vibration impact degree of the current optical cable transmission; the data includes the attenuation amount and vibration acceleration of the optical cable; The vibration influence degree satisfies the relationship: ; In the formula, This is the first The degree of vibration influence in each vibration direction, This is the first The vibration acceleration in each vibration direction, This is the first The maximum vibration acceleration in each vibration direction, This is the first The peak factor of each vibration direction, is the total number of vibration directions; A sliding window is preset, the last signal in the sliding window is the current optical cable signal, and the smoothing parameter of each optical cable signal in each vibration direction is calculated based on the attenuation degree and vibration influence degree of each optical cable signal in the sliding window; The corresponding attenuation is weighted averaged using the smoothing parameters of each optical cable signal in each vibration direction in the sliding window to obtain the prediction result of the optical cable life. The prediction result is: ; In the formula, Indicates the predicted value of the optical cable life; Indicates that the current optical cable signal is in The predicted value of the attenuation of the transmission in each vibration direction, represents the minimum value of historical attenuation; the predicted value of the attenuation is obtained by the weighted average.

2. According to a method for predicting the life of a 5G communication optical cable based on big data according to claim 1, it is characterized in that: The prediction results also include: When the predicted value of the life span is greater than a preset threshold, an early warning is triggered.

3. A 5G communication optical cable life prediction method based on big data according to claim 2, characterized in that: The process of obtaining the attenuation degree includes: Calculate the absolute difference between the current attenuation of optical cable transmission and the historical minimum attenuation; Calculate the change ratio of the current attenuation of optical cable transmission compared with the average attenuation of several historical times; The product of the absolute difference and the change ratio is used as the attenuation degree of the current optical cable transmission.

4. A 5G communication optical cable life prediction method based on big data according to claim 3, characterized in that: The process of obtaining the vibration impact degree includes: The ratio of the vibration acceleration in each vibration direction to the historical maximum vibration acceleration in the corresponding vibration direction is calculated and normalized to obtain the vibration influence degree of the current optical cable transmission in each vibration direction.

5. A 5G communication optical cable life prediction method based on big data according to claim 4, characterized in that: The smoothing parameter satisfies the relationship: ; In the formula, The first The optical cable signal is The smoothing parameter in the vibration direction, The first The attenuation of the optical cable signal, The first The optical cable signal is The degree of vibration influence in each vibration direction, is the attenuation degree of each optical cable signal in the sliding window and its The standard deviation of the product of the vibration influence degrees in the three vibration directions.

6. A 5G communication optical cable life prediction method based on big data according to claim 1, characterized in that: The process of obtaining the attenuation degree includes: Calculate the difference between the current attenuation of optical cable transmission and the historical average attenuation; The ratio of the difference to the historical average attenuation is used as the attenuation degree of the current optical cable transmission.

7. A 5G communication optical cable life prediction method based on big data according to claim 6, characterized in that: The peak factor is the peak value of the current optical cable transmission process. The ratio of the peak value of the vibration impact in each vibration direction to its root mean square value.

8. The method for predicting the life of a 5G communication optical cable based on big data according to claim 1, characterized in that: The current optical cable signal is at The predicted value of the attenuation of the transmission in each vibration direction satisfies the relationship: ; In the formula, The current optical cable signal is The predicted value of the attenuation of the transmission in each vibration direction, The first The optical cable signal is The smoothing parameter in the vibration direction, The first The attenuation of the optical cable signal, is the number of optical cable signals within the sliding window.

9. A 5G communication optical cable life prediction system based on big data, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for predicting the life of a 5G communication optical cable based on big data is implemented according to any one of claims 1 to 8.

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