Intelligent optical fiber resource management monitoring system

Abstract

The invention relates to an intelligent optical fiber resource management monitoring system, which solves the technical problems of complexity and low efficiency, and comprises an intelligent optical fiber wiring monitoring device and monitoring data primary processing units distributed on the intelligent optical fiber wiring monitoring device, the central management detection unit is connected with the intelligent optical fiber wiring monitoring device and the monitoring data primary processing unit; the optical fiber is provided with a ray light source at the jump fiber port end, and the emission angle of the ray light source is consistent with the angle of the optical fiber; the outlet end of the tail fiber take-up box module is provided with a light receiving matrix device for receiving a ray light source signal; and the jumper fiber port is also provided with a ray light source for representing the serial number and the position parameter of the jumper fiber port, so that the problem is well solved, and the method can be applied to intelligent optical fiber resource management.

Description

Technical Field

[0001] The present invention relates to the field of intelligent optical fibers, and in particular to an intelligent optical fiber resource management and monitoring system. Background Art

[0002] In the current communication network, fiber optic communication is the most important communication technology. However, the current base stations and stations widely use traditional fiber optic distribution frames that are non-intelligent and difficult to maintain. This system relies too much on manual on-site maintenance, which not only has high operation and maintenance costs, but also has low timeliness. In order to solve this problem, the industry has proposed an automated fiber optic wiring system, which combines fiber optic wiring robots with fiber optic management systems to achieve cloud-based monitoring and remote operation and maintenance, aiming to make the railway communication network end-to-end automated, intelligent, and visualized. However, existing technologies usually use visual perception technology to collect and monitor the connection status of optical fibers, and complete the operation through complex fiber optic wiring automation robots, which is complex and inefficient.

[0003] The present invention provides a simple and efficient intelligent optical fiber resource management and monitoring system to solve current technical problems. Summary of the invention

[0004] The technical problem to be solved by the present invention is the complex and inefficient technical problem existing in the prior art. A new intelligent optical fiber resource management and monitoring system is provided, which has the characteristics of simplicity, high efficiency and high accuracy.

[0005] In order to solve the above technical problems, the technical solutions adopted are as follows:

[0006] An intelligent optical fiber resource management and monitoring system, comprising an intelligent optical fiber wiring monitoring device, a monitoring data primary processing unit distributed in the intelligent optical fiber wiring monitoring device, and a central management detection unit connected to the intelligent optical fiber wiring monitoring device and the monitoring data primary processing unit;

[0007] The intelligent optical fiber wiring monitoring device includes an optical fiber wiring robot and a power supply unit; the optical fiber wiring robot includes a control module, an AI fiber jumper module, a fiber storage module, and a fiber jumper port; the AI ​​fiber jumper module includes an intelligent fiber jumper module and an end face automatic cleaning module; the fiber storage module includes an input and output optical fiber flange and a pigtail take-up box module;

[0008] The optical fiber is provided with a ray light source at the end of the jumper port, and the emission angle of the ray light source is consistent with the angle of the optical fiber; the outlet end of the pigtail take-up box module is provided with a light receiving matrix device for receiving the ray light source signal; the jumper port is also provided with a ray light source representing the serial number and position parameters of the jumper port;

[0009] The intelligent fiber jumper module includes an intelligent mechanical arm for fiber jumper operation, and the intelligent fiber jumper module performs the following program steps:

[0010] S1, waiting for a ray light source that represents the serial number and position parameters of the fiber jumper port, the light receiving matrix device receives the ray light source signal, calculates and stores the serial number and position parameters of the fiber jumper port;

[0011] S2, according to the historically stored patch fiber connection scheme, controls the optical fiber to complete the movement and access to the corresponding patch fiber port;

[0012] S3, waiting for the ray light sources of all optical fibers that have completed fiber patching access, determining the fiber number and the fiber patching port number, and the optical receiving matrix device calculates the fiber connection path after receiving the ray light source signal;

[0013] S3, traverse all optical fibers and fiber jumper ports to build a fiber connection space parameter model;

[0014] S4, receiving the wiring instruction, determining the fiber number and the fiber jump port number of the proposed fiber jumper, and calculating the simulated fiber jumper scheme, which includes the fiber moving path;

[0015] S5, controlling the optical fiber to be jumped by the control module to move the jumper through the intelligent mechanical arm according to the jumper plan and access the jumper port.

[0016] Working principle of the present invention: The present invention sets a ray light source around the optical fiber connection path, receives the ray light, and then simulates the connection path and relationship between the optical fiber pigtail box module and the jumper port, and models it. After modeling, if a new wiring requirement is encountered, the historical wiring plan is called or the preset wiring plan is input to control the optical fiber wiring robot to complete the optical fiber wiring. When the wiring needs to be adjusted, the wiring plan is first simulated in the simulation space, such as the robot wiring steps, especially the path movement plan is simulated, and the robot is controlled to perform wiring after confirmation. In this process, through simple and efficient optical simulation, the bending, knotting, and entanglement of the optical fiber after wiring is avoided. In order to ensure that the optical fiber is connected between the fiber storage device and the jumper port in a nearly straight line, the distance between the ray light source and the outer surface of the optical fiber can be adjusted. If the ray light source cannot be received normally, it means that the optical fiber is bent or entangled.

[0017] In the above scheme, for optimization, further, the calculation simulation fiber jumper scheme is completed using the following algorithm steps:

[0018] Step 1, initialize the algorithm parameters, determine the initial position and target position in the fiber connection space parameter model, define m randomly distributed ant positions, the maximum number of iterations Gmax, and the maximum limit number Lmax, where the ant positions do not overlap with other fiber connection paths;

[0019] Step 2, define α zi is the impact factor, β zi is the weight factor corresponding to the impact factor, zi=1,2...zn; the impact factor includes the collision probability and the shortest distance of the connection path with other optical fibers;

[0020] Step 3: Initially define the influencing factor and let m randomly distributed ants select the next path point until the target location ends. For each ant, the initial iteration number G = 0, randomly generate zm search vectors in the search space, the distance dimension of the search space is D, and define the search equation as:

[0021]

[0022] Among them, v′ di represents the best position of the ith search when the search distance is d, v di The i-th search position when the search distance is d; is the optimal value of the fitness value of all global search positions when the search distance is d; di and x dj is the fitness value of the i-th search position or the fitness value of the j-th position when the search distance is d, j≠i and j∈{1,2,3,...KN}; the fitness value function is

[0023] cr is the crossover operator pre-set in the algorithm; ψ′ is rand(-1,1); μ′ is rand(0,K), K is a pre-defined non-negative constant; rand(a d ,b d ) is a uniform random number function, indicating that in a d to b d Pick a uniform random number between;

[0024] Among them, the probability of selecting the i-th search position as a path point is: is the fitness value of the i-th path point, KN is the number of next path points whose fitness value is higher than the predefined threshold;

[0025] Step 4, update the global fitness value;

[0026]

[0027] in, Indicates that in this iteration, the search between positions i and j is due to ant m k Increased fitness value, Δfit ij(g) It represents the total amount of increased fitness value, and g is the number of iterations;

[0028] Step 5: When the number of iterations g reaches the maximum, the optimal path of the current ant is calculated. The optimal path is sorted by distance × fitness function value, and the one with the highest sorting is taken as the optimal path;

[0029] Step 6, traverse all ants, calculate the optimal path distance of all ants, and the distance between the optimal path nodes of all ants, normalize the path nodes with distances below the threshold to a unified path point and replace them;

[0030] Step 7: normalize the replaced ant optimal paths into grids, and select the shortest path as the optimal fiber jumper moving path.

[0031] This preferred solution achieves efficient, simple and accurate fiber movement path planning and evaluation through special improvements based on the idea of ​​ant algorithm.

[0032] Furthermore, the ray light source is arranged around the periphery of the optical fiber, corresponding to the light source receiver.

[0033] Furthermore, the outlet of the pigtail take-up box module is arranged in an elliptical shape.

[0034] Furthermore, the monitoring data primary processing unit is provided with an offline configuration interface, through which optical fiber resource management can be completed through an offline management terminal when the central management detection unit is offline.

[0035] Furthermore, the intelligent optical fiber wiring monitoring device also includes a temperature detection unit and an anti-external force damage monitoring unit.

[0036] Furthermore, the intelligent optical fiber wiring monitoring device also includes an optical fiber testing module, and the optical fiber testing module is used to test the optical fiber performance and faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0038] Figure 1 , schematic diagram of the intelligent optical fiber resource management and monitoring system in Example 1.

[0039] Figure 2 , schematic diagram of the optical fiber wiring ray light source in Example 1. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] Example 1

[0042] This embodiment provides an intelligent optical fiber resource management and monitoring system. Figure 1 , the intelligent optical fiber resource management and monitoring system includes an intelligent optical fiber wiring monitoring device, a monitoring data primary processing unit distributed in the intelligent optical fiber wiring monitoring device, and a central management detection unit connected to the intelligent optical fiber wiring monitoring device and the monitoring data primary processing unit;

[0043] The intelligent optical fiber wiring monitoring device includes an optical fiber wiring robot and a power supply unit; the optical fiber wiring robot includes a control module, an AI fiber jumper module, a fiber storage module, and a fiber jumper port; the AI ​​fiber jumper module includes an intelligent fiber jumper module and an end face automatic cleaning module; the fiber storage module includes an input and output optical fiber flange and a pigtail take-up box module;

[0044] like Figure 2 , a ray light source is arranged at the end of the fiber jumper port, and the emission angle of the ray light source is consistent with the angle of the optical fiber; an optical receiving matrix device for receiving the ray light source signal is arranged at the outlet end of the pigtail take-up box module; a ray light source representing the serial number and position parameters of the fiber jumper port is also arranged at the fiber jumper port;

[0045] The intelligent fiber jumper module includes an intelligent mechanical arm for fiber jumper operation, and the intelligent fiber jumper module performs the following program steps:

[0046] S1, waiting for a ray light source that represents the serial number and position parameters of the fiber jumper port, the light receiving matrix device receives the ray light source signal, calculates and stores the serial number and position parameters of the fiber jumper port;

[0047] S2, according to the historically stored patch fiber connection scheme, controls the optical fiber to complete the movement and access to the corresponding patch fiber port;

[0048] S3, waiting for the ray light sources of all optical fibers that have completed fiber patching access, determining the fiber number and the fiber patching port number, and the optical receiving matrix device calculates the fiber connection path after receiving the ray light source signal;

[0049] S3, traverse all optical fibers and fiber jumper ports to build a fiber connection space parameter model;

[0050] S4, receiving the wiring instruction, determining the fiber number and the fiber jump port number of the proposed fiber jumper, and calculating the simulated fiber jumper scheme, which includes the fiber moving path;

[0051] S5, controlling the optical fiber to be jumped by the control module to move the jumper through the intelligent mechanical arm according to the jumper plan and access the jumper port.

[0052] This embodiment sets a ray light source around the optical fiber connection path, receives the ray light, and then simulates the connection path and relationship between the optical fiber pigtail receiving box module and the jumper port, and models it. After modeling, if a new wiring requirement is encountered, the historical wiring scheme is called or the preset wiring scheme is input to control the optical fiber wiring robot to complete the optical fiber wiring. When the wiring needs to be adjusted, the wiring scheme is first simulated in the simulation space, such as the robot wiring steps, especially the path movement scheme is simulated, and the robot is controlled to perform wiring after confirmation. In this process, through simple and efficient optical simulation, the bending, knotting, and entanglement of the optical fiber after wiring are avoided. In order to ensure that the optical fiber is connected between the fiber storage device and the jumper port in a nearly straight line, the distance between the ray light source and the outer surface of the optical fiber can be adjusted. If the ray light source is not received normally, it means that the optical fiber is bent or entangled.

[0053] Preferably, the calculation simulation fiber patching scheme is completed using the following algorithm steps:

[0054] Step 1, initialize the algorithm parameters, determine the initial position and target position in the fiber connection space parameter model, define m randomly distributed ant positions, the maximum number of iterations Gmax, and the maximum limit number Lmax, where the ant positions do not overlap with other fiber connection paths;

[0055] Step 2, define α zi is the impact factor, β zi is the weight factor corresponding to the impact factor, zi=1,2...zn; the impact factor includes the collision probability and the shortest distance of the connection path with other optical fibers;

[0056] Step 3: Initially define the influencing factor and let m randomly distributed ants select the next path point until the target location ends. For each ant, the initial iteration number G = 0, randomly generate zm search vectors in the search space, the distance dimension of the search space is D, and define the search equation as:

[0057]

[0058] Among them, v′ di represents the best position of the ith search when the search distance is d, v di The i-th search position when the search distance is d; is the optimal value of the fitness value of all global search positions when the search distance is d; di and x djis the fitness value of the i-th search position or the fitness value of the j-th position when the search distance is d, j≠i and j∈{1,2,3,...KN}; the fitness value function is

[0059] cr is the crossover operator pre-set in the algorithm; ψ′ is rand(-1,1); μ′ is rand(0,K), K is a pre-defined non-negative constant; rand(a d ,b d ) is a uniform random number function, indicating that in a d to b d Pick a uniform random number between;

[0060] Among them, the probability of selecting the i-th search position as a path point is: is the fitness value of the i-th path point, KN is the number of next path points whose fitness value is higher than the predefined threshold;

[0061] Step 4, update the global fitness value;

[0062]

[0063] in, Indicates that in this iteration, the search between positions i and j is due to ant m k Increased fitness value, Δfit ij(g) It represents the total amount of increased fitness value, and g is the number of iterations;

[0064] Step 5: When the number of iterations g reaches the maximum, the optimal path of the current ant is calculated. The optimal path is sorted by distance × fitness function value, and the one with the highest sorting is taken as the optimal path;

[0065] Step 6, traverse all ants, calculate the optimal path distance of all ants, and the distance between the optimal path nodes of all ants, normalize the path nodes with distances below the threshold to a unified path point and replace them;

[0066] Step 7: normalize the replaced ant optimal paths into grids, and select the shortest path as the optimal fiber jumper moving path.

[0067] This preferred solution achieves efficient, simple and accurate fiber movement path planning and evaluation through special improvements based on the idea of ​​ant algorithm.

[0068] Specifically, the ray light source is arranged around the outer circumference of the optical fiber, corresponding to the light source receiver.

[0069] Specifically, the outlet of the pigtail take-up box module is arranged in an elliptical shape.

[0070] Specifically, the monitoring data primary processing unit is provided with an offline configuration interface, through which the optical fiber resource management can be completed through the offline management terminal when the central management detection unit is offline.

[0071] Specifically, the intelligent optical fiber wiring monitoring device further includes a temperature detection unit and an anti-external force damage monitoring unit.

[0072] Specifically, the intelligent optical fiber wiring monitoring device further includes an optical fiber testing module, and the optical fiber testing module is used to test the optical fiber performance and faults.

[0073] Although the above describes the illustrative specific embodiments of the present invention so that those skilled in the art can understand the present invention, the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, all inventions and creations using the concepts of the present invention are protected.

Claims

1. An intelligent optical fiber resource management and monitoring system, characterized in that: The intelligent optical fiber resource management and monitoring system comprises an intelligent optical fiber wiring monitoring device, a monitoring data primary processing unit distributed in the intelligent optical fiber wiring monitoring device, and a central management detection unit connected to the intelligent optical fiber wiring monitoring device and the monitoring data primary processing unit; The intelligent optical fiber wiring monitoring device includes an optical fiber wiring robot and a power supply unit; the optical fiber wiring robot includes a control module, an AI fiber jumper module, a fiber storage module, and a fiber jumper port; the AI ​​fiber jumper module includes an intelligent fiber jumper module and an end face automatic cleaning module; the fiber storage module includes an input and output optical fiber flange and a pigtail take-up box module; The optical fiber is provided with a ray light source at the end of the jumper port, and the emission angle of the ray light source is consistent with the angle of the optical fiber; the outlet end of the pigtail take-up box module is provided with a light receiving matrix device for receiving the ray light source signal; the jumper port is also provided with a ray light source representing the serial number and position parameters of the jumper port; The intelligent fiber jumper module includes an intelligent mechanical arm for fiber jumper operation, and the intelligent fiber jumper module performs the following program steps: S1, waiting for a ray light source that represents the serial number and position parameters of the fiber jumper port, the light receiving matrix device receives the ray light source signal, calculates and stores the serial number and position parameters of the fiber jumper port; S2, according to the historically stored patch fiber connection scheme, controls the optical fiber to complete the movement and access to the corresponding patch fiber port; S3, waiting for the ray light sources of all optical fibers that have completed fiber patching access, determining the fiber number and the fiber patching port number, and the optical receiving matrix device calculates the fiber connection path after receiving the ray light source signal; S3, traverse all optical fibers and fiber jumper ports to build a fiber connection space parameter model; S4, receiving the wiring instruction, determining the fiber number and the fiber jump port number of the proposed fiber jumper, and calculating the simulated fiber jumper scheme, which includes the fiber moving path; S5, controlling the optical fiber to be jumped by the control module to move the jumper through the intelligent mechanical arm according to the jumper plan and access the jumper port.

2. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The calculation simulation fiber jumper scheme is completed using the following algorithm steps: Step 1, initialize the algorithm parameters, determine the initial position and target position in the fiber connection space parameter model, define m randomly distributed ant positions, the maximum number of iterations Gmax, and the maximum limit number Lmax, where the ant positions do not overlap with other fiber connection paths; Step 2, define α zi is the impact factor, β zi is the weight factor corresponding to the impact factor, zi=1,2...zn; the impact factor includes the collision probability and the shortest distance of the connection path with other optical fibers; Step 3: Initially define the influencing factor and let m randomly distributed ants select the next path point until the target location ends. For each ant, the initial iteration number G = 0, randomly generate zm search vectors in the search space, the distance dimension of the search space is D, and define the search equation as: Among them, v ′ di represents the best position of the ith search when the search distance is d, v di The i-th search position when the search distance is d; is the optimal value of the fitness value of all global search positions when the search distance is d; di and x dj is the fitness value of the i-th search position or the fitness value of the j-th position when the search distance is d, j≠i and j∈{1,2,3,...KN}; the fitness value function is cr is the crossover operator pre-set in the algorithm; ψ ′ is rand(-1,1); μ ′ is rand(0,K), where K is a predefined non-negative constant; rand(a d ,b d ) is a uniform random number function, indicating that in a d to b d Pick a uniform random number between; Among them, the probability of selecting the i-th search position as a path point is: fit i is the fitness value of the i-th path point, KN is the number of next path points whose fitness value is higher than the predefined threshold; Step 4, update the global fitness value; in, Indicates that in this iteration, the search between positions i and j is due to ant m k Increased fitness value, Δfit ij(g) It represents the total amount of increased fitness value, and g is the number of iterations; Step 5: When the number of iterations g reaches the maximum, the optimal path of the current ant is calculated. The optimal path is sorted by distance × fitness function value, and the one with the highest sorting is taken as the optimal path; Step 6, traverse all ants, calculate the optimal path distance of all ants, and the distance between the optimal path nodes of all ants, normalize the path nodes with distances below the threshold to a unified path point and replace them; Step 7: normalize the replaced ant optimal paths into grids, and select the shortest path as the optimal fiber jumper moving path.

3. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The ray light source is arranged around the outer periphery of the optical fiber, corresponding to the light source receiver.

4. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The outlet of the pigtail take-up box module is arranged in an elliptical shape.

5. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The monitoring data primary processing unit is provided with an offline configuration interface, through which optical fiber resource management can be completed through an offline management terminal when the central management detection unit is offline.

6. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The intelligent optical fiber wiring monitoring device also includes a temperature detection unit and an anti-external force damage monitoring unit.

7. The intelligent optical fiber resource management and monitoring system according to claim 1, characterized in that: The intelligent optical fiber wiring monitoring device further comprises an optical fiber testing module, and the optical fiber testing module is used to test the optical fiber performance and faults.

Images