Monitoring method and device for optical cable communication system

Abstract

The invention relates to the technical field of data processing, and provides a monitoring method and device for an optical cable communication system, and the method comprises the steps: scanning an optical cable installation region, and obtaining the position data of each installation point recognized by an operation and maintenance robot, the position data of an obstacle, and a wired path between the installation points; determining a wiring path with the lowest wiring cost based on the position data of each mounting point, the position data of the obstacle and a wired path between the mounting points so as to assist optical cable wiring and mounting; after optical cable wiring and installation are completed, network devices on the installation route are identified, and initialization configuration is carried out on the network devices based on the configuration files corresponding to the network devices; and monitoring the real-time operation index of the initially configured optical cable network in real time, and adjusting the configuration parameter of each network device based on the real-time operation index so as to enable the real-time operation index to reach a preset standard. The intelligent level and efficiency of monitoring the optical cable communication system are improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a monitoring method and device for an optical cable communication system. Background Art

[0002] Optical cable communication technology is the foundation of modern communication networks and is widely used in telecommunications, the internet, television broadcasting, and other fields. With the growing demand for information transmission, optical cable communication systems face numerous challenges, including system complexity, high operation and maintenance costs, network security risks, and data transmission optimization. Traditional manual methods for planning and installing optical cables and monitoring (supervision and maintenance) lack intelligence and efficiency, making them difficult to address. New technologies are urgently needed to monitor optical cable communication systems and improve their performance and reliability. Summary of the Invention

[0003] The present invention provides a monitoring method and device for an optical cable communication system, which are used to solve the problems of low intelligence level and low efficiency in monitoring an optical cable communication system in the prior art.

[0004] The present invention provides a monitoring method for an optical cable communication system, which is used for an operation and maintenance robot. The method comprises the following steps: Scanning the optical cable installation area to obtain location data of each installation point identified by the operation and maintenance robot, location data of obstacles, and the routed paths between each installation point; Determine a wiring path with the lowest wiring cost based on the location data of each installation point, the location data of obstacles, and the wiring paths between each installation point to assist in the installation of optical cable wiring; After the optical cable installation is completed, identify the network devices along the installation route and initialize the configuration of each network device based on the configuration files corresponding to each network device; Real-time monitoring of the real-time operating indicators of the optical cable network after initial configuration, and adjustment of configuration parameters of each network device based on the real-time operating indicators so that the real-time operating indicators meet preset standards.

[0005] According to the present invention, a monitoring method for an optical cable communication system is provided, which determines a wiring path with the lowest wiring cost based on location data of each installation point, location data of obstacles, and wiring paths between each installation point, including: Based on the location data of each installation point and the location data of the obstacle, a feasible path between each installation point is determined. If there is an obstacle on the straight path between the two installation points, the feasible path is the shortest path between the two installation points that avoids the obstacle. Determine, based on the feasible path, the wiring cost between each installation point; if the feasible path is the routed path, determine that the wiring cost between the two installation points corresponding to the routed path is 0; Based on the wiring cost between each installation point, the shortest path algorithm is used to calculate the wiring path with the lowest wiring cost between the starting installation point and the ending installation point.

[0006] According to a monitoring method for an optical cable communication system provided by the present invention, network devices on an installation route are identified and initial configuration is performed on each network device based on a configuration file corresponding to each network device, including: Collect appearance images of each network device along the installation route; determining a device type of each of the network devices based on the appearance image; A corresponding configuration file is selected based on the device type, and each network device is initialized and configured according to the corresponding configuration file.

[0007] A monitoring method for an optical cable communication system provided by the present invention further includes: After the optical cable installation is completed, obtain the video of the optical cable along the optical cable routing path; The optical cable video is divided into an optical cable joint video frame and an optical cable body video frame between two adjacent joints through image recognition, and the optical cable body image in the optical cable body video frame is ensured to cover the optical cable body between two adjacent joints with a minimum number of optical cable body video frames; Inputting the optical cable joint video frame and the optical cable body video frame into an optical cable fault recognition model to obtain a recognition result output by the optical cable fault recognition model, and sending an alarm message to a data center and / or a user terminal when the recognition result indicates an optical cable body fault and / or an optical cable joint fault; The optical cable fault recognition model is obtained by training based on sample optical cable body images, sample optical cable joint images, and fault labels corresponding to the sample optical cable body images and the sample optical cable joint images.

[0008] According to the present invention, a monitoring method for an optical cable communication system further includes: while acquiring a captured video of the optical cable on the optical cable wiring path, recording the current position information of the operation and maintenance robot in real time; If the identification result indicates a fault in the optical cable body and / or the optical cable connector, an alarm message is sent to the data center and / or the user terminal, including: When the identification result indicates a fault in the optical cable body and / or a fault in the optical cable connector, obtaining first time information corresponding to the faulty video frame; Acquire target location information corresponding to second time information whose time is consistent with the first time information; The target location information and the alarm information are sent to a data center and / or a user terminal.

[0009] A monitoring method for an optical cable communication system provided by the present invention further includes: After the fiber optic cabling installation is complete, obtain video footage of network equipment along the fiber optic cabling path; Obtain operating parameters of network devices; Based on the network device video and the operating parameters of the network device, it is determined whether the network device is faulty, and in the event of a fault in the network device, a network device repair operation is performed.

[0010] A monitoring method for an optical cable communication system provided by the present invention further includes: After the optical cable wiring is installed, the optical cable status data collected by the sensor installed on the optical cable is obtained, and the optical cable status data is input into the optical cable status prediction model to obtain the optical cable potential fault prediction result output by the optical cable status prediction model. The optical cable status prediction model is trained with historical optical cable status data as samples and the optical cable potential faults corresponding to the historical optical cable status data as labels.

[0011] The present invention also provides a monitoring device for an optical cable communication system, which is used for an operation and maintenance robot, and the device comprises: An installation point acquisition module is used to scan the optical cable installation area and obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles, and the wiring paths between each installation point; A wiring path determination module is used to determine a wiring path with the lowest wiring cost based on the location data of each installation point, the location data of obstacles and the wiring paths between each installation point, so as to assist in the installation of optical cable wiring; The network device initialization module is used to identify the network devices on the installation route after the optical cable wiring is installed, and initialize the configuration of each network device based on the configuration file corresponding to each network device; The network equipment adjustment module is used to monitor the real-time operation index of the optical cable network after initialization configuration in real time, and adjust the configuration parameters of each network equipment based on the real-time operation index so that the real-time operation index reaches a preset standard.

[0012] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein when the processor executes the program, the monitoring method for an optical cable communication system as described above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the monitoring method for an optical cable communication system as described above is implemented.

[0014] The monitoring method and device for an optical cable communication system provided by the present invention intelligently plans the optical cable wiring path through an operation and maintenance robot to assist in the installation of optical cables. After the optical cable wiring and installation are completed, the network equipment on the installation route is initialized, and the configuration parameters of the network equipment are adjusted according to the real-time operating indicators of the optical cable network after the initialization configuration to ensure the optimal operating state of the network, thereby realizing the intelligent installation, monitoring and maintenance of the optical cable communication system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 This is one of the flow charts of the monitoring method for an optical cable communication system provided by the present invention.

[0017] Figure 2 This is the second flow chart of the monitoring method for an optical cable communication system provided by the present invention.

[0018] Figure 3 The diagram is a structural diagram of a monitoring device for an optical cable communication system provided by the present invention.

[0019] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0021] The monitoring method for an optical cable communication system according to an embodiment of the present invention is used for an operation and maintenance robot. The specific process is as follows: Figure 1 As shown, it includes steps S110 to S140.

[0022] Step S110: Scan the optical cable installation area to obtain location data for each installation point identified by the operation and maintenance robot, location data for obstacles, and the routed paths between each installation point. The operation and maintenance robot may be a tracked robot or a robot with a manipulator (e.g., a humanoid robot), equipped with at least one camera for capturing video or images. Installation points include the starting and ending points of the optical cable, as well as intermediate transition points (e.g., poles or wall mounts). In this embodiment, the operation and maintenance robot is controlled to travel within the optical cable installation area, visually identifying each installation point and recording the location data of each installation point using a built-in positioning module (e.g., GPS or Beidou).

[0023] Specifically, the operation and maintenance robot can be remotely controlled to scan the optical cable installation area. The operation and maintenance robot perceives the installation area (i.e., the construction environment) in real time and collects data. 3D laser scanning can be used to construct a high-precision 3D map of the installation area, detecting obstacles and point cloud data such as terrain undulations. Combined with point cloud data, the location data of installation points, the location data of obstacles, and the routed paths between installation points are identified to bypass obstacles during wiring and avoid overlapping wiring. The operation and maintenance robot can use deep learning models (such as YOLO or Faster R-CNN) to identify installation points, obstacles, and routed paths (by identifying the optical cables and pipes between two installation points to identify the routed path). In underground pipes or narrow spaces, visual algorithms can detect the optical cable laying area to ensure that the path meets engineering specifications.

[0024] Of course, the map of the optical cable installation area can also be sent to the operation and maintenance robot. The operation and maintenance robot automatically scans based on visual recognition routes, builds a high-precision 3D map of the installation area, and detects point cloud data such as installation points, obstacles, and terrain undulations.

[0025] Step S120: Based on the location data of each installation point, the location data of obstacles, and the existing routed paths between each installation point, a routing path with the lowest cabling cost is determined to assist in the installation (laying and connection) of the optical cable. Specifically, the routing distance between each installation point can be determined based on the location data of each installation point and the location data of obstacles. This routing distance is not the straight-line distance between two installation points, but the distance after circumventing obstacles. The shorter the routing distance between two installation points, the lower the cost of using optical cables. Therefore, the routing path with the lowest cabling cost can be determined by planning the shortest cabling distance between the starting and ending installation points. When determining the routing path with the lowest cabling cost, the existing routed paths between the installation points can be reused to further reduce cabling costs.

[0026] Of course, if the operation and maintenance robot is a robot with a manipulator, it can also automatically complete the wiring and installation of optical cables, further improving the intelligence level of optical cable communication system maintenance.

[0027] Step S130: After the optical cable installation is complete, identify the network devices along the installation route and initialize and configure each device based on its corresponding configuration file. After the optical cable installation is complete, network devices will be connected to the installation route. These devices must be initialized and configured to ensure proper data transmission on the installed optical cable. In this step, the operation and maintenance robot can be pre-configured with corresponding configuration files for each network device. This allows the robot to identify the network devices along the installation route and initialize and configure each device based on its corresponding configuration file.

[0028] Step S140: Real-time monitoring of the optical cable network's operational indicators after initialization and configuration. Based on these indicators, the configuration parameters of each network device are adjusted to ensure that these indicators meet pre-set standards. This step adjusts the configuration parameters of network devices based on the initialization's operational indicators to ensure optimal network operation. These indicators include network traffic (throughput), bandwidth utilization, network latency, jitter, packet loss rate, bit error rate, optical power loss, and link availability (to ensure normal operation and avoid link interruptions).

[0029] In the monitoring method for an optical cable communication system in an embodiment of the present invention, an operation and maintenance robot intelligently plans the optical cable wiring path to assist in the installation of the optical cable. After the optical cable wiring and installation are completed, the network equipment on the installation route is initialized, and the configuration parameters of the network equipment are adjusted according to the real-time operating indicators of the optical cable network after the initialization configuration to ensure the optimal operating state of the network, thereby realizing intelligent installation, monitoring and maintenance of the optical cable communication system and improving the performance and reliability of the optical cable communication system.

[0030] In some embodiments, step S120 specifically includes: Based on the position data of each installation point and the position data of obstacles, feasible paths are determined between each installation point. If there is an obstacle on the straight path between the two installation points, the feasible path is the shortest path between the two installation points that circumvents the obstacle. Specifically, if there is no obstacle on the straight path between the two installation points, the straight line between the two points is the shortest, and the straight path between the two installation points is the feasible path. If there is an obstacle on the straight path between the two installation points, the outer contour of the obstacle is identified using the 3D point cloud data scanned by the operation and maintenance robot, and based on the outer contour, the shortest path that circumvents the obstacle and connects the two installation points is determined.

[0031] Based on the feasible paths, the wiring costs between each pair of installation points are determined. If the feasible path is a routed path, the wiring cost between the two installation points corresponding to the routed path is determined to be zero. Specifically, the wiring distance between each pair of installation points can be calculated based on the length of each feasible path. The wiring cost between each pair of installation points is calculated by multiplying the wiring distance by the cost per unit length of optical cable (including connectors). The wiring cost between each pair of installation points serves as the weight between the two points in the subsequent shortest path algorithm. To reuse the routed path and avoid overlapping wiring, if the feasible path is a routed path, the wiring cost between the two installation points corresponding to the routed path is determined to be zero. This ensures that the shortest path algorithm, when subsequently calculating the shortest path, yields the lowest-cost routing path.

[0032] Based on the wiring costs between each installation point, a shortest path algorithm (such as Dijkstra's algorithm or Freud's algorithm) is used to calculate the wiring path with the lowest wiring cost between the starting installation point and the ending installation point.

[0033] Preferably, before searching for the shortest path based on the shortest path algorithm, the optical fiber transmission loss model is used as a constraint condition to delete feasible paths that do not meet the optical cable bending radius standard (which will cause optical cable breakage) and / or have more than a preset number of connectors (more than the preset number of connectors will result in greater optical attenuation and not meet the optical attenuation requirements), to ensure that the shortest path that meets the bending radius standard and optical attenuation requirements is found.

[0034] Of course, the operation and maintenance robot can also adaptively optimize the wiring path in a dynamic environment based on deep reinforcement learning (DRL). The operation and maintenance robot can also continuously optimize during the training process, adjust the strategy according to historical data, and improve the laying efficiency.

[0035] Furthermore, the maintenance robot can upload location data for each installation point, obstacle locations, and the established routing paths between installation points to the cloud, allowing maintenance personnel to remotely optimize routing. This, combined with historical data analysis, improves routing accuracy for the next run. After each routing run, the maintenance robot stores the shortest path in a database for future routing strategy optimization. Through big data analysis, the most common routing issues can be identified and path planning algorithms optimized.

[0036] During the wiring process, the maintenance robot may encounter unexpected obstacles or environmental changes, requiring real-time path adjustments. Sensor data fusion (radar + camera) is used to detect unexpected obstacles (such as other construction equipment, people, and sudden obstacles). When an unexpected obstacle is detected, the maintenance robot recalculates the path based on the newly added obstacle data to ensure wiring continuity.

[0037] In this embodiment, the above steps realize intelligent planning of wiring paths, thereby reducing labor costs.

[0038] In some embodiments, step S130 specifically includes: To capture images of each network device along the installation route, the operation and maintenance robot is controlled to capture images of each device. Equipped with a high-definition RGB camera, the operation and maintenance robot captures images of network devices along the route. A robotic arm or 360-degree pan / tilt head is used to capture device images from multiple angles, ensuring accurate device recognition. In low-light environments, an infrared camera is used to ensure clear and usable images.

[0039] Based on the appearance image, the device type of each network device is determined, such as a router, switch, etc. Specifically, the operation and maintenance robot extracts the appearance features of the network device through CNN (convolutional neural network) and classifies it. The device model is identified by comparing features such as shape, port layout and brand logo. Port identification (such as RJ45 and fiber optic interface) distinguishes routers / switches, that is, distinguishes the device type. The brand logo identifies the device manufacturer. Size and shape are further classified (rack-mounted switch or desktop router, etc.). The operation and maintenance robot can continuously learn, optimize the recognition accuracy based on historical data, and update the device model through the cloud database to adapt to devices of different manufacturers and models.

[0040] Based on the device type, a corresponding configuration file is selected and each network device is initialized and configured according to the corresponding configuration file. Specifically, for an operation and maintenance robot with a manipulator, after identifying the network device type, it automatically establishes a wired connection with the network device (for example, the manipulator inserts a data cable into the network device), enters the network device configuration interface, and automatically configures. For a robot without a manipulator, after identifying the network device type, it establishes a wireless connection with the network device (this requires first obtaining the network device address information from the backend data center), enters the network device configuration interface, and automatically configures.

[0041] like Figure 2 As shown, in some embodiments, the monitoring method for an optical cable communication system further includes the following steps: Step S210: After the optical cable installation is completed, obtain the video of the optical cable on the optical cable installation path. Specifically, after the optical cable installation is completed, control the operation and maintenance robot to conduct regular inspections and capture the video of the optical cable on the optical cable installation path.

[0042] Step S220: Using image recognition, the optical cable video is divided into optical cable joint video frames and optical cable body video frames between two adjacent joints, and the optical cable body video frames are used to ensure that the optical cable body image in the optical cable body video frames covers the optical cable body between two adjacent joints. Specifically, image recognition technology is used to identify each optical cable joint along the optical cable wiring path, and optical cable joint video frames are intercepted. The video frames between two adjacent optical cable joint video frames are all optical cable body video frames. Using the minimum number of optical cable body video frames, the optical cable body image in the optical cable body video frames is ensured to cover the optical cable body between two adjacent joints, thereby reducing the number of videos processed by the subsequent model and improving model processing efficiency.

[0043] Step S230: Input the optical cable joint video frame and the optical cable body video frame into an optical cable fault recognition model to obtain a recognition result output by the optical cable fault recognition model. If the recognition result indicates an optical cable body fault and / or an optical cable joint fault, an alarm message is sent to the data center and / or user terminal. The optical cable fault recognition model is trained based on sample optical cable body images, sample optical cable joint images, and the fault labels corresponding to the sample optical cable body images and sample optical cable joint images. The optical cable fault recognition model can be a neural network-based classification model that classifies and identifies fault types such as optical cable body faults (e.g., optical cable breaks) and loose optical cable joints.

[0044] In this embodiment, the operation and maintenance robot is controlled to collect optical cable videos on the optical cable wiring path, and optical cable faults are identified in combination with an artificial intelligence model, thereby realizing automatic troubleshooting of optical cable faults and improving the maintenance efficiency and intelligence level of the optical cable communication system.

[0045] In some embodiments, the monitoring method for an optical cable communication system further includes: simultaneously acquiring the captured video of the optical cable along the optical cable routing path, recording the current position information of the operation and maintenance robot in real time. Specifically, the current position information is acquired from a positioning system of the operation and maintenance robot and recorded.

[0046] Based on this, in step S230, when the identification result indicates that the optical cable body is faulty and / or the optical cable connector is faulty, sending an alarm message to the data center and / or the user terminal includes: When the identification result indicates that the optical cable body is faulty and / or the optical cable connector is faulty, first time information corresponding to the faulty video frame is obtained.

[0047] The target position information corresponding to the second time information whose time is consistent with the first time information is obtained. Since the positioning information collection of the positioning system of the operation and maintenance robot has a certain frequency and is not completely consistent with the video frame rate, the second time information here is the time information corresponding to the time of each position information closest to the first time information.

[0048] The target location information and the alarm information are sent to a data center and / or a user terminal so that maintenance personnel can quickly locate the actual fault location based on the target location information and thus quickly handle the fault.

[0049] In some embodiments, the monitoring method for an optical cable communication system further includes: After the fiber optic cabling installation is complete, capture video of the network equipment along the fiber optic cabling path.

[0050] The operating parameters of the network device are obtained. Specifically, the operating parameters of the network device can be obtained by accessing the network device.

[0051] Based on the network device video and the operating parameters of the network device, a determination is made as to whether the network device is faulty. If the network device is faulty, a network device repair operation is performed. Specifically, a network device fault can be determined by observing the fault indicator light of the network device in the network device video, or by analyzing abnormalities in its operating parameters. Furthermore, if the network device is faulty, the operation and maintenance robot is controlled to perform a network device repair operation, such as restarting or reconfiguring the network device.

[0052] In this embodiment, the video captured by the operation and maintenance robot of the network equipment is combined with the operating parameters of the network equipment to realize automatic detection of network equipment failures, and control the operation and maintenance robot to perform repair operations, thereby reducing the time for manual rushing to the site, shortening the fault recovery time, and improving operation and maintenance efficiency.

[0053] In some embodiments, the monitoring method for the optical cable communication system further includes: after the optical cable wiring is installed, obtaining optical cable status data collected by sensors installed on the optical cable, inputting the optical cable status data into an optical cable status prediction model, and obtaining an optical cable potential fault prediction result output by the optical cable status prediction model, wherein the optical cable status prediction model is based on historical optical cable status data as a sample, and the optical cable potential faults corresponding to the historical optical cable status data are obtained by label training.

[0054] Specifically, sensors are used to monitor the physical condition of optical cables in real time. These sensors include temperature, pressure, and vibration sensors. Temperature sensors monitor the cable's ambient temperature in real time to prevent failures caused by overheating. Pressure sensors monitor the cable's stress level to prevent damage due to excessive pressure or physical stress. Vibration sensors detect vibrations in the cable to identify early signs of external interference or physical damage. Sensors can be installed at key nodes and areas susceptible to external influences along the cable to ensure coverage of all potential problem areas. During installation, multiple sensors can be integrated into a single node to reduce installation complexity.

[0055] In this embodiment, by obtaining the optical cable status data monitored by the sensor in real time and using the optical cable status prediction model based on artificial intelligence, potential faults of the optical cable can be predicted to remind the staff to take measures in advance to avoid faults and ensure the reliable operation of the optical cable communication system.

[0056] The monitoring device for an optical cable communication system provided by the present invention is described below. The monitoring device for an optical cable communication system described below and the monitoring method for an optical cable communication system described above can be referenced to each other.

[0057] The monitoring device for an optical cable communication system according to an embodiment of the present invention is as follows: Figure 3 As shown, it includes the following modules: The installation point acquisition module 310 is used to scan the optical cable installation area and obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles and the wired paths between each installation point.

[0058] The wiring path determination module 320 is used to determine the wiring path with the lowest wiring cost based on the location data of each installation point, the location data of obstacles and the wiring paths between each installation point, so as to assist the optical cable wiring installation.

[0059] The network device initialization module 330 is used to identify the network devices on the installation route after the optical cable wiring is installed, and initialize the configuration of each network device based on the configuration file corresponding to each network device.

[0060] The network device adjustment module 340 is used to monitor the real-time operating indicators of the optical cable network after initial configuration in real time, and adjust the configuration parameters of each network device based on the real-time operating indicators to make the real-time operating indicators meet preset standards.

[0061] The monitoring device for the optical cable communication system of this embodiment uses an operation and maintenance robot to intelligently plan the optical cable wiring path to assist in the installation of the optical cable. After the optical cable wiring is installed, the network equipment on the installation route is initialized, and the configuration parameters of the network equipment are adjusted according to the real-time operating indicators of the optical cable network after the initialization configuration to ensure the optimal operating state of the network, thereby realizing the intelligent installation, monitoring and maintenance of the optical cable communication system.

[0062] In some embodiments, the wiring path determination module 320 is specifically used to determine the feasible paths between each installation point based on the position data of each installation point and the position data of the obstacle. When there is an obstacle on the straight path between the two installation points, the feasible path is the shortest path between the two installation points that bypasses the obstacle; based on the feasible path, the wiring cost between each installation point is determined. If the feasible path is the routed path, the wiring cost between the two installation points corresponding to the routed path is determined to be 0; based on the wiring cost between each installation point, the shortest path algorithm is used to calculate the wiring path with the lowest wiring cost between the starting installation point and the ending installation point.

[0063] In some embodiments, the network device initialization module 330 is specifically used to collect the appearance images of each network device on the installation route; based on the appearance images, determine the device type of each network device; select the corresponding configuration file based on the device type, and initialize the configuration of each network device according to the corresponding configuration file.

[0064] In some embodiments, the monitoring device for an optical cable communication system further comprises: The optical cable video acquisition module is used to acquire the optical cable video on the optical cable wiring path after the optical cable wiring installation is completed.

[0065] The optical cable video division module is used to divide the optical cable video into optical cable joint video frames and optical cable body video frames between two adjacent joints through image recognition, and to ensure that the optical cable body image in the optical cable body video frame covers the optical cable body between two adjacent joints with a minimum number of optical cable body video frames.

[0066] The model execution module is used to input the optical cable joint video frame and the optical cable body video frame into the optical cable fault recognition model, obtain the recognition result output by the optical cable fault recognition model, and send an alarm message to the data center and / or the user terminal when the recognition result indicates an optical cable body fault and / or an optical cable joint fault.

[0067] The optical cable fault recognition model is obtained by training based on sample optical cable body images, sample optical cable joint images, and fault labels corresponding to the sample optical cable body images and the sample optical cable joint images.

[0068] In some embodiments, the monitoring device for the optical cable communication system further includes: a position recording module for recording the current position information of the operation and maintenance robot in real time while acquiring the captured optical cable video on the optical cable wiring path.

[0069] The model execution module specifically includes: The first time acquisition module is used to obtain the first time information corresponding to the faulty video frame when the recognition result indicates that the optical cable body is faulty and / or the optical cable connector is faulty.

[0070] The second time acquisition module is configured to acquire target location information corresponding to second time information that is consistent with the first time information.

[0071] The information sending module is used to send the target location information and the alarm information to a data center and / or a user terminal.

[0072] In some embodiments, the monitoring device for an optical cable communication system further comprises: The device video acquisition module is used to acquire the video of the network devices on the optical cable wiring path after the optical cable wiring is installed.

[0073] The device parameter acquisition module is used to obtain the operating parameters of the network device.

[0074] The fault determination module is used to determine whether the network device is faulty based on the network device video and the operating parameters of the network device, and to perform a network device repair operation if the network device is faulty.

[0075] In some embodiments, the monitoring device for the optical cable communication system also includes: an optical cable status detection module, which is used to obtain optical cable status data collected by sensors installed on the optical cable after the optical cable wiring is installed, and input the optical cable status data into an optical cable status prediction model to obtain an optical cable potential fault prediction result output by the optical cable status prediction model. The optical cable status prediction model is based on historical optical cable status data as a sample, and the optical cable potential faults corresponding to the historical optical cable status data are obtained by label training.

[0076] Figure 4 An example of a physical structure diagram of an electronic device is shown below. Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communications interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute a monitoring method for an optical cable communication system, which is used for operating and maintaining a robot. The method includes the following steps: Scan the optical cable installation area to obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles, and the wiring paths between the installation points.

[0077] Based on the location data of each installation point, the location data of obstacles and the routed paths between each installation point, a routing path with the lowest routing cost is determined to assist in the installation of optical cable routing.

[0078] After the optical cable installation is completed, the network devices on the installation route are identified and initialized for each network device based on the configuration files corresponding to each network device.

[0079] Real-time monitoring of the real-time operating indicators of the optical cable network after initial configuration, and adjustment of configuration parameters of each network device based on the real-time operating indicators so that the real-time operating indicators meet preset standards.

[0080] Furthermore, the logic instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0081] On the other hand, the present invention further provides a computer program product, comprising a computer program, which may be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the monitoring method for an optical cable communication system provided by the above methods, which is used for an operation and maintenance robot, and comprises the following steps: Scan the optical cable installation area to obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles, and the wiring paths between the installation points.

[0082] Based on the location data of each installation point, the location data of obstacles and the routed paths between each installation point, a routing path with the lowest routing cost is determined to assist in the installation of optical cable routing.

[0083] After the optical cable installation is completed, the network devices on the installation route are identified and initialized for each network device based on the configuration files corresponding to each network device.

[0084] Real-time monitoring of the real-time operating indicators of the optical cable network after initial configuration, and adjustment of configuration parameters of each network device based on the real-time operating indicators so that the real-time operating indicators meet preset standards.

[0085] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the monitoring method for an optical cable communication system provided by the above methods, the method being used for an operation and maintenance robot, and comprising the following steps: Scan the optical cable installation area to obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles, and the wiring paths between the installation points.

[0086] Based on the location data of each installation point, the location data of obstacles and the routed paths between each installation point, a routing path with the lowest routing cost is determined to assist in the installation of optical cable routing.

[0087] After the optical cable installation is completed, the network devices on the installation route are identified and initialized for each network device based on the configuration files corresponding to each network device.

[0088] Real-time monitoring of the real-time operating indicators of the optical cable network after initial configuration, and adjustment of configuration parameters of each network device based on the real-time operating indicators so that the real-time operating indicators meet preset standards.

[0089] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0090] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A monitoring method for an optical cable communication system, characterized in that: For operating and maintaining a robot, the method includes: Scanning the optical cable installation area to obtain location data of each installation point identified by the operation and maintenance robot, location data of obstacles, and the routed paths between each installation point; Determine a wiring path with the lowest wiring cost based on the location data of each installation point, the location data of obstacles, and the wiring paths between each installation point to assist in the installation of optical cable wiring; After the optical cable installation is completed, identify the network devices along the installation route and initialize the configuration of each network device based on the configuration files corresponding to each network device; Real-time monitoring of the real-time operating indicators of the optical cable network after initial configuration, and adjustment of configuration parameters of each network device based on the real-time operating indicators so that the real-time operating indicators meet preset standards.

2. The monitoring method for an optical cable communication system according to claim 1, characterized in that: Based on the location data of each installation point, the location data of obstacles, and the routed paths between each installation point, the routing path with the lowest routing cost is determined, including: Based on the location data of each installation point and the location data of the obstacle, a feasible path between each installation point is determined. If there is an obstacle on the straight path between the two installation points, the feasible path is the shortest path between the two installation points that avoids the obstacle. Determine, based on the feasible path, the wiring cost between each installation point; if the feasible path is the routed path, determine that the wiring cost between the two installation points corresponding to the routed path is 0; Based on the wiring cost between each installation point, the shortest path algorithm is used to calculate the wiring path with the lowest wiring cost between the starting installation point and the ending installation point.

3. The monitoring method for an optical cable communication system according to claim 1, wherein: Identify network devices along the installation route and initialize configuration for each device based on its corresponding configuration file, including: Collect appearance images of each network device along the installation route; determining a device type of each of the network devices based on the appearance image; A corresponding configuration file is selected based on the device type, and each network device is initialized and configured according to the corresponding configuration file.

4. The monitoring method for an optical cable communication system according to claim 1, wherein: Also includes: After the optical cable installation is completed, obtain the video of the optical cable along the optical cable routing path; The optical cable video is divided into an optical cable joint video frame and an optical cable body video frame between two adjacent joints through image recognition, and the optical cable body image in the optical cable body video frame is ensured to cover the optical cable body between two adjacent joints with a minimum number of optical cable body video frames; Inputting the optical cable joint video frame and the optical cable body video frame into an optical cable fault recognition model to obtain a recognition result output by the optical cable fault recognition model, and sending an alarm message to a data center and / or a user terminal when the recognition result indicates an optical cable body fault and / or an optical cable joint fault; The optical cable fault recognition model is obtained by training based on sample optical cable body images, sample optical cable joint images, and fault labels corresponding to the sample optical cable body images and the sample optical cable joint images.

5. The monitoring method for an optical cable communication system according to claim 4, characterized in that: Also includes: While acquiring the video of the optical cable on the optical cable routing path, the current position information of the operation and maintenance robot is recorded in real time; If the identification result indicates a fault in the optical cable body and / or the optical cable connector, an alarm message is sent to the data center and / or the user terminal, including: When the identification result indicates a fault in the optical cable body and / or a fault in the optical cable connector, obtaining first time information corresponding to the faulty video frame; Acquire target location information corresponding to second time information whose time is consistent with the first time information; The target location information and the alarm information are sent to a data center and / or a user terminal.

6. The monitoring method for an optical cable communication system according to claim 1, characterized in that: Also includes: After the fiber optic cabling installation is complete, obtain video footage of network equipment along the fiber optic cabling path; Obtain operating parameters of network devices; Based on the network device video and the operating parameters of the network device, it is determined whether the network device is faulty, and in the event of a fault in the network device, a network device repair operation is performed.

7. The monitoring method for an optical cable communication system according to any one of claims 1 to 6, characterized in that: Also includes: After the optical cable wiring is installed, the optical cable status data collected by the sensor installed on the optical cable is obtained, and the optical cable status data is input into the optical cable status prediction model to obtain the optical cable potential fault prediction result output by the optical cable status prediction model. The optical cable status prediction model is trained with historical optical cable status data as samples and the optical cable potential faults corresponding to the historical optical cable status data as labels.

8. A monitoring device for an optical cable communication system, characterized in that: For operating and maintaining a robot, the device comprises: An installation point acquisition module is used to scan the optical cable installation area and obtain the position data of each installation point identified by the operation and maintenance robot, the position data of obstacles, and the wiring path between each installation point; A wiring path determination module is used to determine a wiring path with the lowest wiring cost based on the location data of each installation point, the location data of obstacles and the wiring paths between each installation point, so as to assist in the installation of optical cable wiring; The network device initialization module is used to identify the network devices on the installation route after the optical cable wiring is installed, and initialize the configuration of each network device based on the configuration file corresponding to each network device; The network equipment adjustment module is used to monitor the real-time operation index of the optical cable network after initialization configuration in real time, and adjust the configuration parameters of each network equipment based on the real-time operation index so that the real-time operation index reaches a preset standard.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the monitoring method for an optical cable communication system according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the monitoring method for an optical cable communication system according to any one of claims 1 to 7 is implemented.

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