Optical fiber equipment life cycle monitoring system and method based on artificial intelligence

Abstract

The invention discloses an optical fiber equipment life cycle monitoring system and method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a monitoring information record, and judging whether the monitoring information record is a to-be-detected record or not; if the monitoring information record is a to-be-detected record, a reference transmission distance in the to-be-detected record is obtained, and a reference distance section in the to-be-detected record is obtained according to all the reference transmission distances; obtaining a to-be-detected distance section according to the reference distance section, and determining a first abnormal distance and a second abnormal distance in the to-be-detected distance section; and obtaining a deviation coefficient according to the reference transmission distance, the first abnormal distance and the second abnormal distance, obtaining an aging degree coefficient of the target optical fiber equipment, and carrying out different processing. The aging degree of the optical fiber equipment is determined, and the aged optical fiber equipment is replaced or maintained, so that the fault positioning accuracy is improved, and the reliability of data monitoring of the optical fiber equipment is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an optical fiber equipment life cycle monitoring system and method based on artificial intelligence. Background Art

[0002] Optical Time Domain Reflectometer, or OTDR for short, is a fiber optic device used to test the characteristics of optical communication networks. It is mainly used to detect, locate, and measure events at any position in a fiber optic link. It is of great significance to ensure the stable operation of communication systems and can provide strong data support for locating fault locations. The laser of OTDR is a key component for emitting light pulses. The photodetector is responsible for receiving backscattered light (Rayleigh scattering) and reflected light signals (Fresnel reflection) and converting them into electrical signals. The basic principle of the cooperation between the laser and the photodetector is to use the laser to emit a high-energy laser beam according to preset parameters such as wavelength, pulse width, and power, and then obtain information by detecting changes in the beam through the photodetector.

[0003] If the laser ages, its output optical power will be unstable, resulting in uneven energy of some emitted optical pulses, which will make the photodetector's ability to respond to optical signals worse. Some optical signal details may be lost during measurement, resulting in incomplete data, missing or abnormal data, and affecting the detection of small optical fiber losses and short-distance fault points. Therefore, it is necessary to analyze these data, determine the degree of laser aging based on the missing or abnormal phenomena of some signals, and replace or repair the aged laser to improve the accuracy of fault location and ensure the reliability of data monitoring. Summary of the invention

[0004] The purpose of the present invention is to provide an optical fiber equipment life cycle monitoring system and method based on artificial intelligence to solve the problems raised in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions: An artificial intelligence-based optical fiber equipment life cycle monitoring method comprises the following steps: Step S100: Acquire monitoring information records, extract the changes of characteristic parameters corresponding to the laser in the test optical fiber with the transmission distance in the monitoring information records, and determine whether the monitoring information records are records to be tested; Step S200: if the monitoring information record is a record to be detected, all reference transmission distances are obtained according to the data change of the characteristic parameter with the transmission distance, and all reference distance segments therein are obtained according to the reference transmission distance; Step S300: taking a distance segment between any two adjacent reference distance segments as a distance segment to be detected, and determining a first abnormal distance and a second abnormal distance in the distance segment to be detected according to characteristic parameters of each transmission distance in the distance segment to be detected; Step S400: Obtain the deviation coefficient corresponding to the record to be detected according to the reference transmission distance, the first abnormal distance and the second abnormal distance, obtain the aging degree coefficient of the target optical fiber device according to the deviation coefficient, and perform different processing on the target optical fiber device according to the aging degree coefficient.

[0006] Furthermore, step S100 includes: Step S110: respectively obtaining monitoring information records corresponding to the target optical fiber device and the reference optical fiber device, wherein the monitoring information record is an information record of data monitoring during the process of the optical fiber device emitting laser light to the test optical fiber starting from the emission point in the test optical fiber; and using the monitoring information record of the reference optical fiber device as the reference information record, and using the monitoring information record of the target optical fiber device as the target information record, and setting the parameter information of the laser emission of the two optical fiber devices to be consistent before emitting the laser, wherein the parameter information includes angle, wavelength, pulse width and power; Extract characteristic parameters corresponding to each transmission distance in the reference information record and the target information record respectively, the characteristic parameters including luminous intensity and wavelength; establish a functional relationship graph of luminous intensity changing with transmission distance, and draw a first broken line corresponding to the reference information record and a second broken line corresponding to the target information record in the functional relationship graph; It should be noted that the angle, wavelength, pulse width and power need to be set consistent here because: the angle determines the direction of laser emission; light of different wavelengths has different transmission characteristics in the optical fiber, and different wavelengths have different transmission scenarios; the pulse width determines the duration of the light pulse, and different pulse widths have different energies; the emission power directly affects the energy of the light pulse transmitted in the optical fiber. Sufficient power can ensure that the light pulse can be transmitted a sufficiently long distance in the optical fiber and generate detectable signal strength when encountering reflection or scattering points.

[0007] The difference between backscattered light (Rayleigh scattering) and reflected light signal (Fresnel reflection) is that Rayleigh scattered light is generated due to tiny inhomogeneities inside the optical fiber material (such as microscopic fluctuations in density and refractive index). When light propagates in the optical fiber, it interacts with these microscopic inhomogeneous structures, causing the light to scatter in all directions, and part of the scattered light will propagate in the opposite direction along the optical fiber and be detected; while Fresnel reflected light is generated when light enters from one medium into another medium with a different refractive index and is reflected at the interface between the two media, such as at the end of the optical fiber (the interface between the optical fiber and the air) or where there is a sudden change in the refractive index in the optical fiber. Therefore, the test optical fiber used in this scheme is an optical fiber without creases or breakpoints, which ensures that the received signal is Rayleigh scattered light.

[0008] Step S120: randomly acquiring a number of position points in the test optical fiber, and the transmission distance between two adjacent position points in the test optical fiber is not less than a preset distance threshold, and all the position points are used as calibration points; Randomly obtain any two position points a and b in the test optical fiber, take the transmission distance between a certain calibration point and a plus the transmission distance between a certain calibration point and b as the comprehensive distance of a certain calibration point, obtain the comprehensive distance of each calibration point, take the calibration point with the smallest comprehensive distance as F, and extract the coordinate point P corresponding to the calibration point F in the first broken line; Randomly obtain N detection position points within position points a and b, and obtain the detection coordinate point corresponding to each detection position point in the second polyline, and then use the coordinate point P as the starting point and each detection coordinate point as the end point in the function relationship diagram to obtain several coordinate vectors and establish a vector set; Step S130: If there is a corresponding vector in the vector set that does not satisfy , then the target information record is judged as the record to be detected, where r is the ratio threshold, v k 、v k+1 and v k+2 They are respectively the kth, k+1th and k+2th coordinate vectors in the vector set, 1≤k<k+1<k+2≤N.

[0009] It should be noted that under normal circumstances, the luminous intensity gradually decreases as the transmission distance increases. This process changes slowly. When a sudden change in the luminous intensity occurs, it means that the target information record is abnormal. The target information record needs to be taken as a record to be detected and the next step of judgment is carried out.

[0010] Further, step S200 includes: Step S210: in the function relationship diagram, the transmission distance corresponding to the coordinate point where the first broken line and the second broken line intersect is marked with a first mark, the transmission distance with the same wavelength in the reference information record and the target information record is marked with a second mark, and the transmission distance marked with both the first mark and the second mark is used as the reference transmission distance; Obtain a reference transmission distance g and an adjacent transmission distance h that is not a reference transmission distance in the reference information record, and use the coordinate points corresponding to g and h in the first polyline as P g and P h , P g and P h The length between is taken as Lg h, and the coordinate point P in the function relationship diagram is g The area with the center as the circle and k*Lg h as the radius is taken as the characteristic area, k is the area coefficient, k≥1; Step S220: If the transmission distance h is marked for the second time, and the coordinate point corresponding to h in the second broken line is within the feature area, h is used as the benchmark transmission distance; then according to step S200, all benchmark transmission distances are obtained, and all adjacent benchmark transmission distances are collected as a benchmark distance segment to obtain all benchmark distance segments.

[0011] Furthermore, step S300 includes: Step S310: Obtain two adjacent reference distance segments A and B, and use the maximum transmission distance in A as X 1 , the minimum transmission distance in B is taken as X 2 , and X 1 <X 2 ; X 1 and X 2 The distance segment between is taken as the distance segment C to be detected; The distance segment C to be detected is evenly divided into M sub-distance segments, and the curve corresponding to each sub-distance segment in the first broken line is obtained. According to the coordinate points at both ends of each curve, the slope corresponding to each curve is obtained, and the variance corresponding to all slopes is calculated, and the variance is used as the distance coefficient Y corresponding to the distance segment C to be detected; Step S320: Take the curve corresponding to the distance segment C to be detected in the first fold line as the reference curve, take each coordinate point on the reference curve as the center, and take the tangent line perpendicular to each coordinate point, and the lengths of both sides are K Y *Y*e -|R-X| The range of K is taken as the reference area, Y is the preset area coefficient, R is the transmission distance in the middle of the distance segment C to be detected, and X is X 1 and X 2 A certain transmission distance between them; If the coordinate point corresponding to a certain transmission distance in the distance segment C to be detected in the second broken line is within the reference area, the certain transmission distance is taken as the first abnormal distance; if it is not within the reference area, the certain transmission distance is taken as the second abnormal distance, and then all the first abnormal distances and second abnormal distances are obtained.

[0012] If the slope values ​​of each sub-distance segment differ greatly, it means that the difference value of the luminous intensity corresponding to each sub-distance segment in the distance segment C to be detected is larger. In this scheme, the distance coefficient is used to characterize the difference value, and the variance is used to characterize the size of the difference value. When the variance is larger, the difference value is larger, and the larger this difference value, that is, the larger the distance coefficient, the larger the range of the reference area should be. The size of the reference area directly affects the judgment of the first abnormal distance and the second abnormal distance.

[0013] The transmission distance of the first abnormal distance is a value with a smaller deviation, and the transmission distance of the second abnormal distance is a value with a larger deviation. Since the reference area is the main influencing factor for judging the first abnormal distance and the second abnormal distance, and since the luminous intensity represents the signal energy intensity received at a certain transmission distance, a sudden change in the luminous intensity is an abnormal phenomenon, so the reference area should be set to be close to X 1 and X 2 The reference area of ​​​​X is smaller, which is close to the rule that the reference area of ​​​​R is larger, and X is X 1 and X 2 For a certain transmission distance between |RX|, the smaller the value of RX, the closer it is to 0, which means that X is closer to R at this time, and the reference area is larger at this time, and the function y=e -x The smaller the horizontal axis, the larger the vertical axis, so e is used in this scheme. -|R-X| To design.

[0014] Furthermore, step S400 includes: Step S410: Obtain the distance segments corresponding to the reference transmission distance, the first abnormal distance, and the second abnormal distance in the target information record, respectively. The lengths of the distance segments are S 0 , S 1 and S 2 , add them together to get S sum , S 0 , S 1 and S 2 Remove S um Get the ratio L 0 , L 1 and L 2 , and set the weights of the benchmark transmission distance, the first abnormal distance, and the second abnormal distance to be W 0 , W 1 and W 2 , W 1 +W2 =1,W 2 >W 1 >0>W 0 ; According to the ratio and weight, the deviation coefficient of the record to be tested is Z, and the formula is: , k Z is the adjustment coefficient, k Z >1, e is the natural index, when Z<0, let Z=0; Step S420: Obtain T records to be detected for data monitoring of the target optical fiber device, and sort the records to be detected according to the time sequence of data monitoring, where the weight of the tth record to be detected is W t =t / ∑T d=1d; calculate the deviation coefficient of each record to be tested, and according to the weight and deviation coefficient of each record to be tested, obtain the aging degree coefficient of the target optical fiber device Q=∑T t=1Z t *W t , Z t is the deviation coefficient of the tth record to be detected, W t is the weight of the tth record to be detected.

[0015] An artificial intelligence-based optical fiber equipment life cycle monitoring system includes a to-be-detected record judgment module, a reference distance segment determination module, an abnormal distance type classification module, and an aging degree coefficient calculation module; The module for judging the record to be detected is used to obtain the monitoring information record, extract the change of the characteristic parameters corresponding to the laser in the test optical fiber with the transmission distance in the monitoring information record, and judge whether the monitoring information record is a record to be detected; Reference distance segment determination module: If the monitoring information record is a record to be detected, the reference distance segment determination module is used to obtain all reference transmission distances according to the data change of the characteristic parameter with the transmission distance, and obtain all reference distance segments therein according to the reference transmission distance; Abnormal distance type classification module: used to take the distance segment between any two adjacent reference distance segments as the distance segment to be detected, and determine the first abnormal distance and the second abnormal distance in the distance segment to be detected according to the characteristic parameters of each transmission distance in the distance segment to be detected; Aging degree coefficient calculation module: used to obtain the deviation coefficient corresponding to the record to be detected according to the reference transmission distance, the first abnormal distance and the second abnormal distance, obtain the aging degree coefficient of the target optical fiber device according to the deviation coefficient, and perform different processing on the target optical fiber device according to the aging degree coefficient.

[0016] Further, the to-be-detected record judgment module includes a function relationship graph establishment unit, a vector set establishment unit and a to-be-detected record judgment unit; Function relationship diagram establishment unit: used to obtain monitoring information records corresponding to the target optical fiber device and the reference optical fiber device respectively; and obtain the reference information record and the target information record; establish a function relationship diagram of the change of luminous intensity with the transmission distance, and draw a first broken line and a second broken line in the function relationship diagram; Vector set establishment unit: used to obtain calibration points in the test optical fiber; randomly obtain a number of detection position points within any two position points in the test optical fiber, and obtain the detection coordinate points corresponding to each detection position point in the second broken line, and obtain each vector, and establish a vector set; The record to be detected judging unit is used to judge whether the target information record is a record to be detected according to the vector set.

[0017] Further, the abnormal distance type classification module includes a distance coefficient calculation unit and a distance type classification unit; Distance coefficient calculation unit: used to obtain two adjacent reference distance segments, and obtain the distance segment to be detected therein, divide the distance segment to be detected evenly into a number of sub-distance segments, and obtain the distance coefficient corresponding to the distance segment to be detected; The distance type classification unit is used to take the curve corresponding to the distance segment to be detected in the first broken line as the reference curve, obtain the reference area, and determine the first abnormal distance and the second abnormal distance in the distance segment to be detected.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides an artificial intelligence-based optical fiber equipment life cycle monitoring system and method, including: obtaining monitoring information records, determining whether the monitoring information records are records to be detected; if the monitoring information records are records to be detected, obtaining the reference transmission distance in the records to be detected, and obtaining the reference distance segments therein based on all the reference transmission distances; obtaining the distance segments to be detected based on the reference distance segments, and determining the first abnormal distance and the second abnormal distance in the distance segments to be detected; obtaining the deviation coefficient based on the reference transmission distance, the first abnormal distance and the second abnormal distance, and obtaining the aging degree coefficient of the target optical fiber equipment, and then performing different processing. The present invention determines the aging degree of the optical fiber equipment and replaces or repairs the aged optical fiber equipment to improve the accuracy of fault location and ensure the reliability of data monitoring of the optical fiber equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of a process of an optical fiber equipment life cycle monitoring method based on artificial intelligence according to the present invention; Figure 2 This is a structural diagram of an artificial intelligence-based optical fiber equipment life cycle monitoring system of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example: Figure 1 As shown, the present invention provides a fiber optic equipment life cycle monitoring system and method technical solution based on artificial intelligence, comprising the following steps: Step S100: Acquire monitoring information records, extract the changes of characteristic parameters corresponding to the laser in the test optical fiber with the transmission distance in the monitoring information records, and determine whether the monitoring information records are records to be detected.

[0022] Step S110: respectively obtaining monitoring information records corresponding to the target optical fiber device and the reference optical fiber device, wherein the monitoring information record is an information record of data monitoring during the process of the optical fiber device emitting laser light to the test optical fiber starting from the emission point in the test optical fiber; and using the monitoring information record of the reference optical fiber device as the reference information record, and using the monitoring information record of the target optical fiber device as the target information record, and setting the parameter information of the laser emission of the two optical fiber devices to be consistent before emitting the laser, wherein the parameter information includes angle, wavelength, pulse width and power; Extract characteristic parameters corresponding to each transmission distance in the reference information record and the target information record respectively, the characteristic parameters including luminous intensity and wavelength; establish a functional relationship graph of luminous intensity changing with transmission distance, and draw a first broken line corresponding to the reference information record and a second broken line corresponding to the target information record in the functional relationship graph; Step S120: randomly acquiring a number of position points in the test optical fiber, and the transmission distance between two adjacent position points in the test optical fiber is not less than a preset distance threshold, and all the position points are used as calibration points; Randomly obtain any two position points a and b in the test optical fiber, take the transmission distance between a certain calibration point and a plus the transmission distance between a certain calibration point and b as the comprehensive distance of a certain calibration point, obtain the comprehensive distance of each calibration point, take the calibration point with the smallest comprehensive distance as F, and extract the coordinate point P corresponding to the calibration point F in the first broken line; Randomly obtain N detection position points within position points a and b, and obtain the detection coordinate point corresponding to each detection position point in the second polyline, and then use the coordinate point P as the starting point and each detection coordinate point as the end point in the function relationship diagram to obtain several coordinate vectors and establish a vector set; Step S130: If there is a corresponding vector in the vector set that does not satisfy , then the target information record is judged as the record to be detected, where r is the ratio threshold, v k 、v k+1 and v k+2 They are respectively the kth, k+1th and k+2th coordinate vectors in the vector set, 1≤k<k+1<k+2≤N.

[0023] It should be noted that under normal circumstances, the luminous intensity gradually decreases as the transmission distance increases. This process changes slowly. When a sudden change in the luminous intensity occurs, it means that the target information record is abnormal. The target information record needs to be taken as a record to be detected and the next step of judgment is carried out.

[0024] Step S200: If the monitoring information record is a record to be detected, all reference transmission distances are obtained according to the data change of the characteristic parameter with the transmission distance, and all reference distance segments therein are obtained according to the reference transmission distance.

[0025] Step S210: in the function relationship diagram, the transmission distance corresponding to the coordinate point where the first broken line and the second broken line intersect is marked with a first mark, the transmission distance with the same wavelength in the reference information record and the target information record is marked with a second mark, and the transmission distance marked with both the first mark and the second mark is used as the reference transmission distance; Obtain a reference transmission distance g and an adjacent transmission distance h that is not a reference transmission distance in the reference information record, and use the coordinate points corresponding to g and h in the first polyline as P g and P h , P g and P h The length between is taken as Lg h, and the coordinate point P in the function relationship diagram is g The area with the center as the circle and k*Lg h as the radius is taken as the characteristic area, k is the area coefficient, k≥1; Step S220: If the transmission distance h is marked for the second time, and the coordinate point corresponding to h in the second broken line is within the feature area, h is used as the benchmark transmission distance; then according to step S200, all benchmark transmission distances are obtained, and all adjacent benchmark transmission distances are collected as a benchmark distance segment to obtain all benchmark distance segments.

[0026] Step S300: taking a distance segment between any two adjacent reference distance segments as a distance segment to be detected, and determining a first abnormal distance and a second abnormal distance in the distance segment to be detected according to characteristic parameters of each transmission distance in the distance segment to be detected.

[0027] Step S310: Obtain two adjacent reference distance segments A and B, and use the maximum transmission distance in A as X 1 , the minimum transmission distance in B is taken as X 2 , and X1 <X 2 ; X 1 and X 2 The distance segment between is taken as the distance segment C to be detected; The distance segment C to be detected is evenly divided into M sub-distance segments, and the curve corresponding to each sub-distance segment in the first broken line is obtained. According to the coordinate points at both ends of each curve, the slope corresponding to each curve is obtained, and the variance corresponding to all slopes is calculated, and the variance is used as the distance coefficient Y corresponding to the distance segment C to be detected; Step S320: Take the curve corresponding to the distance segment C to be detected in the first fold line as the reference curve, take each coordinate point on the reference curve as the center, and take the tangent line perpendicular to each coordinate point, and the lengths of both sides are K Y *Y*e -|R-X| The range of K is taken as the reference area, Y is the preset area coefficient, R is the transmission distance in the middle of the distance segment C to be detected, and X is X 1 and X 2 A certain transmission distance between them; If the coordinate point corresponding to a certain transmission distance in the distance segment C to be detected in the second broken line is within the reference area, the certain transmission distance is taken as the first abnormal distance; if it is not within the reference area, the certain transmission distance is taken as the second abnormal distance, and then all the first abnormal distances and second abnormal distances are obtained.

[0028] If the slope values ​​of each sub-distance segment differ greatly, it means that the difference value of the luminous intensity corresponding to each sub-distance segment in the distance segment C to be detected is larger. In this scheme, the distance coefficient is used to characterize the difference value, and the variance is used to characterize the size of the difference value. When the variance is larger, the difference value is larger, and the larger this difference value, that is, the larger the distance coefficient, the larger the range of the reference area should be. The size of the reference area directly affects the judgment of the first abnormal distance and the second abnormal distance.

[0029] The transmission distance of the first abnormal distance is a value with a smaller deviation, and the transmission distance of the second abnormal distance is a value with a larger deviation. Since the reference area is the key to judging the first abnormal distance and the second abnormal distance, and since the luminous intensity represents the signal energy intensity received at a certain transmission distance, a sudden change in the luminous intensity is an abnormal phenomenon, so the reference area should be set to be close to X 1 and X 2 The reference area of ​​​​X is smaller, which is close to the rule that the reference area of ​​​​R is larger, and X is X 1 and X 2 For a certain transmission distance between |RX|, the smaller the value of RX, the closer it is to 0, which means that X is closer to R at this time, and the reference area is larger at this time, and the function y=e -x The smaller the horizontal axis, the larger the vertical axis, so e is used in this scheme.-|R-X| To design.

[0030] Step S400: Obtain the deviation coefficient corresponding to the record to be detected according to the reference transmission distance, the first abnormal distance and the second abnormal distance, obtain the aging degree coefficient of the target optical fiber device according to the deviation coefficient, and perform different processing on the target optical fiber device according to the aging degree coefficient.

[0031] Step S410: Obtain the distance segments corresponding to the reference transmission distance, the first abnormal distance, and the second abnormal distance in the target information record, respectively. The lengths of the distance segments are S 0 , S 1 and S 2 , add them together to get S sum , S 0 , S 1 and S 2 Remove S um Get the ratio L 0 , L 1 and L 2 , and set the weights of the benchmark transmission distance, the first abnormal distance, and the second abnormal distance to be W 0 , W 1 and W 2 , W 1 +W 2 =1,W 2 >W 1 >0>W 0 ; Assume that the total distance corresponding to the target information record is 1000m, where the distance segment corresponding to the benchmark transmission distance is S 0 =800m, the distance segment corresponding to the first abnormal distance is S 1 =150m, the distance segment corresponding to the second abnormal distance is S 2 =50m, then the distance L 0 , L 1 and L 2 They are 0.8, 0.15 and 0.05 respectively.

[0032] According to the ratio and weight, the deviation coefficient of the record to be tested is Z, and the formula is: , k Z is the adjustment coefficient, k Z >1, e is the natural index, when Z<0, let Z=0; Step S420: Obtain T records to be detected for data monitoring of the target optical fiber device, and sort the records to be detected according to the time sequence of data monitoring, where the weight of the tth record to be detected is W t=t / ∑T d=1d; calculate the deviation coefficient of each record to be tested, and according to the weight and deviation coefficient of each record to be tested, obtain the aging degree coefficient of the target optical fiber device Q=∑T t=1Z t *W t , Z t is the deviation coefficient of the tth record to be detected, W t is the weight of the tth record to be detected.

[0033] In this embodiment, W 1 =0.4, W 2 =0.6, W 0 =-0.05, the specific value should be determined according to the actual situation; function y=1-e -x When x is in x≥0, y is in [0,1), but y will not be equal to 1, so the value range of the deviation coefficient Z in this scheme is [0,1), and the value range of the aging degree coefficient Q is also [0,1), and the larger the aging degree coefficient Q is, the more serious the aging degree of the target optical fiber equipment is; in this embodiment, when the aging degree coefficient is [0,0.3), it is judged that the aging degree is light, and simple maintenance operations such as cleaning and maintenance are performed on the target optical fiber equipment; when the aging degree coefficient is [0.3,0.6), it is judged that the aging degree is general, and appropriate maintenance and adjustment strategies are performed on the target optical fiber equipment; when the aging degree coefficient is [0.6,1), it is judged that the aging degree is serious, and major maintenance, replacement or scrapping decisions are made on the target optical fiber equipment.

[0034] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for monitoring the life cycle of optical fiber equipment based on artificial intelligence, characterized in that: The following steps are involved: Step S100: Acquire monitoring information records, extract the changes of characteristic parameters corresponding to the laser in the test optical fiber with the transmission distance in the monitoring information records, and determine whether the monitoring information records are records to be tested; Step S200: if the monitoring information record is a record to be detected, all reference transmission distances are obtained according to the data change of the characteristic parameter with the transmission distance, and all reference distance segments therein are obtained according to the reference transmission distance; Step S300: taking a distance segment between any two adjacent reference distance segments as a distance segment to be detected, and determining a first abnormal distance and a second abnormal distance in the distance segment to be detected according to characteristic parameters of each transmission distance in the distance segment to be detected; Step S400: Obtain the deviation coefficient corresponding to the record to be detected according to the reference transmission distance, the first abnormal distance and the second abnormal distance, obtain the aging degree coefficient of the target optical fiber device according to the deviation coefficient, and perform different processing on the target optical fiber device according to the aging degree coefficient.

2. The method for monitoring the life cycle of optical fiber equipment based on artificial intelligence according to claim 1, characterized in that: Step S100 includes: Step S110: respectively obtaining monitoring information records corresponding to the target optical fiber device and the reference optical fiber device, wherein the monitoring information record is an information record of data monitoring during the process of the optical fiber device emitting laser light to the test optical fiber starting from the emission point in the test optical fiber; and using the monitoring information record of the reference optical fiber device as the reference information record, using the monitoring information record of the target optical fiber device as the target information record, and setting the parameter information of the laser emission of the two optical fiber devices to be consistent before emitting the laser, wherein the parameter information includes angle, wavelength, pulse width and power; Extract characteristic parameters corresponding to each transmission distance in the reference information record and the target information record respectively, wherein the characteristic parameters include luminous intensity and wavelength; establish a functional relationship graph of luminous intensity varying with transmission distance, and draw a first broken line corresponding to the reference information record and a second broken line corresponding to the target information record in the functional relationship graph; Step S120: randomly acquiring a number of position points in the test optical fiber, and the transmission distance between two adjacent position points in the test optical fiber is not less than a preset distance threshold, and all the position points are used as calibration points; Randomly obtain any two position points a and b in the test optical fiber, add the transmission distance between a certain calibration point and a, and the transmission distance between the certain calibration point and b, as the comprehensive distance of a certain calibration point, obtain the comprehensive distance of each calibration point, take the calibration point with the smallest comprehensive distance as F, and extract the coordinate point P corresponding to the calibration point F in the first polyline; Randomly obtain N detection position points within position points a and b, and obtain the detection coordinate point corresponding to each detection position point in the second polyline, and then use the coordinate point P as the starting point and each detection coordinate point as the end point in the function relationship diagram to obtain several coordinate vectors and establish a vector set; Step S130: If there is a corresponding vector in the vector set that does not satisfy , then the target information record is judged as the record to be detected, where r is the ratio threshold, v k 、v k+1 and v k+2 They are respectively the kth, k+1th and k+2th coordinate vectors in the vector set, 1≤k<k+1<k+2≤N.

3. The method for monitoring the life cycle of optical fiber equipment based on artificial intelligence according to claim 2, characterized in that: Step S200 includes: Step S210: Perform a first marking on the transmission distances corresponding to the coordinate points where the first broken line intersects the second broken line in the function relationship diagram, perform a second marking on the transmission distances with the same wavelength in the reference information record and the target information record, and use the transmission distances that are marked with both the first marking and the second marking as the reference transmission distances; Obtain a reference transmission distance g and an adjacent transmission distance h that is not a reference transmission distance in the reference information record, and use the coordinate points corresponding to g and h in the first polyline as P g and P h , P g and P h The length between is taken as Lg h, and the coordinate point P in the function relationship diagram is g The area with the center as the circle and k*Lg h as the radius is taken as the feature area, k is the area coefficient, k≥1; Step S220: If the transmission distance h is marked with the second marking and the coordinate point corresponding to h in the second broken line is within the characteristic region, then use h as the reference transmission distance; furthermore, according to Step S200, obtain all the reference transmission distances, and gather all adjacent reference transmission distances as a reference distance segment to obtain all the reference distance segments.

4. The method for monitoring the life cycle of optical fiber equipment based on artificial intelligence according to claim 3, characterized in that: Step S300 includes: Step S310: Obtain two adjacent reference distance segments A and B, use the maximum transmission distance in A as X1, the minimum transmission distance in B as X2, and X1 < X2; use the distance segment between X1 and X2 as the distance segment C to be detected; Evenly divide the distance segment C to be detected into M sub-distance segments, obtain the curves corresponding to each sub-distance segment in the first broken line, and according to the coordinate points at both ends of each curve, obtain the slope corresponding to each curve, and calculate the variance of all the slopes, and use the variance as the distance coefficient Y corresponding to the distance segment C to be detected; Step S320: Take the curve corresponding to the distance segment C to be detected in the first fold line as the reference curve, take each coordinate point on the reference curve as the center, and take the tangent line perpendicular to each coordinate point, and the lengths of both sides are K Y *Y*e -|R-X| The range of K is taken as the reference area, Y is the preset regional coefficient, R is the transmission distance in the middle of the distance segment C to be detected, and X is a transmission distance between X1 and X2; If the coordinate point corresponding to a certain transmission distance in the distance segment C to be detected in the second broken line is within the reference region, use the certain transmission distance as the first abnormal distance, and if it is not within the reference region, use the certain transmission distance as the second abnormal distance, and thus obtain all the first abnormal distances and the second abnormal distances.

5. The method for monitoring the life cycle of optical fiber equipment based on artificial intelligence according to claim 4, characterized in that: Step S400 includes: Step S410: Obtain the distance segments corresponding to the reference transmission distance, the first abnormal distance, and the second abnormal distance in the target information record, respectively. The lengths of the distance segments are S0, S1, and S2, respectively. Add them together to obtain S sum , remove S from S0, S1 and S2 um The ratios L0, L1 and L2 are obtained, and the weights of the reference transmission distance, the first abnormal distance and the second abnormal distance are set to W0, W1 and W2 respectively, W1+W2=1, W2>W1>0>W0; According to the ratio and the weight, obtain that the deviation coefficient of the record to be detected is Z, and when Z < 0, let Z = 0; Step S420: Obtain T records to be detected for data monitoring of the target optical fiber device, and sort the records to be detected according to the time sequence of data monitoring, where the weight of the tth record to be detected is W t =t / ∑T d=1d; calculate the deviation coefficient of each record to be tested, and according to the weight and deviation coefficient of each record to be tested, obtain the aging degree coefficient of the target optical fiber device Q=∑T t=1Z t *W t , Z t is the deviation coefficient of the tth record to be detected, W t is the weight of the tth record to be detected.

6. A fiber optic equipment life cycle monitoring system, used to execute the fiber optic equipment life cycle monitoring method based on artificial intelligence according to any one of claims 1 to 5, characterized in that: The system includes a record to be detected judgment module, a reference distance segment determination module, an abnormal distance type classification module, and an aging degree coefficient calculation module; Record to be detected judgment module: used to obtain the monitoring information record, extract the change situation of the characteristic parameters corresponding to the laser in the test optical fiber in the monitoring information record with the transmission distance, and judge whether the monitoring information record is a record to be detected; Reference distance segment determination module: If the monitoring information record is a record to be detected, the reference distance segment determination module is used to obtain all the reference transmission distances according to the data change of the characteristic parameters with the transmission distance, and obtain all the reference distance segments among them according to the reference transmission distances; Abnormal distance type classification module: used to use the distance segment between any two adjacent reference distance segments as the distance segment to be detected, and determine the first abnormal distance and the second abnormal distance in the distance segment to be detected according to the characteristic parameters of each transmission distance in the distance segment to be detected; Aging degree coefficient calculation module: used to obtain the deviation coefficient corresponding to the record to be detected according to the reference transmission distance, the first abnormal distance, and the second abnormal distance, obtain the aging degree coefficient of the target optical fiber device according to the deviation coefficient, and perform different processing on the target optical fiber device according to the aging degree coefficient.

7. The optical fiber equipment life cycle monitoring system according to claim 6, characterized in that: The record to be detected judgment module includes a function relationship diagram establishment unit, a vector set establishment unit, and a record to be detected judgment unit; Function relationship diagram establishment unit: used to obtain monitoring information records corresponding to the target optical fiber device and the reference optical fiber device respectively; and obtain the reference information record and the target information record; establish a function relationship diagram of the change of luminous intensity with the transmission distance, and draw a first broken line and a second broken line in the function relationship diagram; Vector set establishment unit: used to obtain calibration points in the test optical fiber; randomly obtain a number of detection position points within any two position points in the test optical fiber, and obtain the detection coordinate points corresponding to each detection position point in the second broken line, and obtain each vector, and establish a vector set; The record to be detected judging unit is used to judge whether the target information record is a record to be detected according to the vector set.

8. The optical fiber equipment life cycle monitoring system according to claim 7, characterized in that: The abnormal distance type classification module includes a distance coefficient calculation unit and a distance type classification unit; Distance coefficient calculation unit: used to obtain two adjacent reference distance segments, and obtain the distance segment to be detected therein, divide the distance segment to be detected evenly into a number of sub-distance segments, and obtain the distance coefficient corresponding to the distance segment to be detected; The distance type classification unit is used to take the curve corresponding to the distance segment to be detected in the first broken line as the reference curve, obtain the reference area, and determine the first abnormal distance and the second abnormal distance in the distance segment to be detected.

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