Oxc optical fiber state monitoring device and monitoring method

Abstract

The invention discloses an oxc optical fiber state monitoring device, which belongs to the technical field of optical fiber state monitoring and comprises an optical sensor module, a control unit module, a data processing unit, a communication interface, a user interface and an intelligent identification module. The invention also discloses an oxc optical fiber state monitoring method. The method comprises the following steps: step 1, determining to collect OXC optical fiber data; and 2, identifying the state of the OXC optical fiber through an intelligent identification module. Through real-time monitoring of the optical fiber state and acquisition of various key parameters of an optical fiber link, a more sensitive optical fiber state monitoring technology is provided, the detection precision of optical signals is improved, potential problems can be rapidly identified and solved, and stable operation of a network is ensured; through efficient nonlinear modeling and rapid learning, the optical fiber state can be accurately judged, and real-time early warning and system optimization are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of optical fiber status monitoring, and in particular to an OXC optical fiber status monitoring device and a monitoring method. Background Art

[0002] With the rapid development of information technology, fiber-optic communication has become the mainstream means of modern communication networks, especially in long-distance, broadband and high-capacity transmission. As a key component in fiber-optic communication networks, optical cross-connect (OXC) can efficiently realize the routing and management of optical signals and is widely used in data centers, metropolitan area networks and long-distance transmission systems. However, with the expansion of network scale and the increase in the use of optical fibers, the challenges faced by fiber-optic networks are becoming more and more complex, including fiber status monitoring and fault management.

[0003] Existing fiber optic status monitoring technology mainly relies on traditional electrical signal monitoring methods, and has the following defects: 1. Insufficient real-time monitoring capabilities: Existing fiber optic status monitoring systems are usually unable to provide real-time data updates, resulting in network operation and maintenance personnel being unable to respond quickly after a fault occurs, thereby affecting the stability and reliability of the network. This patent aims to achieve real-time monitoring of the fiber optic status, help identify potential faults in a timely manner, and reduce losses caused by network interruptions. 2. Insufficient monitoring sensitivity: Traditional monitoring methods have limited recognition capabilities for tiny optical losses or signal attenuation, and it is difficult to accurately judge the health status of the optical fiber. This leads to inefficient early identification of faults and maintenance decisions. This patent aims to improve the detection accuracy of optical signals and ensure the reliability of network operation by providing more sensitive fiber optic status monitoring technology. To solve the above problems, the present invention provides an OXC fiber optic status monitoring device and monitoring method. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an Oxc optical fiber status monitoring device and a monitoring method, which can provide a more sensitive optical fiber status monitoring technology and improve the detection accuracy of optical signals by real-time monitoring of the optical fiber status and collecting various key parameters of the optical fiber link; at the same time, through efficient nonlinear modeling and rapid learning, the optical fiber status can be accurately judged, and real-time early warning and system optimization can be achieved; the technical problems raised in the background technology are improved.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an Oxc optical fiber state monitoring device, comprising: an optical sensor module, the optical sensor module comprises a light source, an optical receiver and an optical fiber connector; the optical sensor module monitors the state of the optical fiber in real time, and transmits the acquired optical signal strength, loss and attenuation information to a data processing unit for analysis and processing; the light source is used to emit an optical signal of a specific wavelength; the optical receiver receives the optical signal after optical fiber transmission and converts it into an electrical signal; the optical connector is used as a connecting part between the light source and the receiver and the optical fiber to ensure that the optical signal can be effectively transmitted; a control unit module, the control unit module controls the transmission power of the light source and the working state of the receiver to ensure that the optical sensor module operates in the best state; a data processing unit, the data processing unit comprises a central processing unit, a digital signal processor, a storage module and a data interface module; the central processing unit is responsible for executing data processing and analysis algorithms and controlling the operation of the data processing unit; the digital signal processor is used for real-time signal processing, optimizing the data analysis process, and performing filtering, denoising and signal decoding tasks; the storage module comprises a random access memory and flash memory or hard disk drive; the data interface module supports data transmission with the optical sensor module, communication interface and user interface, and is responsible for protocol conversion and data formatting; communication interface, the communication interface includes a physical layer interface, a communication protocol module, a data buffer, a control module, a data encryption / decryption module and a user interface; the physical layer interface is responsible for realizing the physical transmission of data between devices to ensure the effective delivery of signals; the communication protocol module implements the support of multiple communication protocols; the control module is responsible for controlling the establishment and disconnection of communication connections, the control of data sent and received, and fault detection; the data encryption / decryption module includes symmetric encryption and asymmetric encryption to provide data transmission security to ensure that data is not stolen or tampered with during transmission; the user interface provides users with a configuration, monitoring and management interface, allowing them to set communication parameters, view real-time status and historical data; user interface, the user interface sets a real-time status display area for displaying the specific status of the optical fiber link, signal strength, fault alarm and other key performance indicators; the user interface sets a navigation menu for accessing different functional modules; intelligent identification module, the intelligent identification module is used to identify the OXC optical fiber status.

[0006] An oxc optical fiber status monitoring method includes the following process:

[0007] Step 1: Determine to collect OXC fiber data;

[0008] Step 2: Identify the OXC fiber status through the intelligent identification module.

[0009] Preferably, step one includes the following process:

[0010] The optical signal strength, optical fiber temperature, bit error rate, signal-to-noise ratio, return loss and optical path status parameters are collected; the parameter setting adopts the setting of real-time collection or periodic collection; the parameter setting records include timestamp, sensor ID, measurement value and corresponding unit.

[0011] Preferably, step 2 includes the following process:

[0012] S1: Determine the neural network learning rule W C :

[0013] W C =t+1[X(t)-w c ];

[0014] Among them, t is the time parameter, X(t) is the learning rate that decreases over time, and w c is the weight vector for each element;

[0015] S2: The neural network is trained using competitive self-learning rules, which assigns random weights to each neuron in the network and responds to special input patterns by comparing the distance between the weight and the input vector. The formula is: XW C =minX-W;

[0016] Among them, X represents the input vector, W represents the weight vector, and W C is the weight vector of the winning original element;

[0017] S3: The input fiber parameter vector is preprocessed and sent to the network; the network maps the input parameters to a high-dimensional feature space by selecting an appropriate radial basis function, and uses the weight vector learned in the previous step to perform weighted summation on these features to generate the output layer result. After identifying an abnormal state, the system immediately triggers an alarm reminder.

[0018] The beneficial effects of the present invention are:

[0019] 1. The present invention provides a more sensitive fiber status monitoring technology by real-time monitoring of the fiber status and collecting various key parameters of the fiber link, thereby improving the detection accuracy of optical signals, helping to quickly identify and solve potential problems and ensure the stable operation of the network.

[0020] 2. The present invention can accurately judge the state of optical fiber and realize real-time early warning and system optimization through efficient nonlinear modeling and rapid learning. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 The present invention provides a flow chart of an OXC optical fiber status monitoring method.

[0023] Figure 2 for Figure 1 The specific flow chart of identifying the OXC fiber status through the intelligent identification module. DETAILED DESCRIPTION

[0024] 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. Specific embodiment:

[0026] The present invention provides an oxc optical fiber state monitoring device, comprising: an optical sensor module, the optical sensor module comprises a light source, an optical receiver and an optical fiber connector, ensuring effective connection with the optical fiber; the optical sensor module monitors the state of the optical fiber in real time, and transmits the acquired optical signal strength, loss and attenuation information to a data processing unit for analysis and processing. The light source is used to emit an optical signal of a specific wavelength to test the transmission performance of the optical fiber, and the light source can be a laser; the optical receiver receives the optical signal after optical fiber transmission and converts it into an electrical signal, and the optical receiver can be a photodiode; the optical connector serves as the connection part between the light source and the receiver and the optical fiber, ensuring that the optical signal can be effectively transmitted; a control unit module, the control unit module controls the emission power of the light source and the working state of the receiver to ensure that the optical sensor module operates in the best state.

[0027] The data processing unit is one of the core components of the OXC optical fiber status monitoring device, responsible for receiving, analyzing and storing data from the optical sensor module. The data processing unit includes a central processing unit, a digital signal processor, a storage module and a data interface module; the central processing unit is responsible for executing data processing and analysis algorithms and controlling the operation of the data processing unit; the digital signal processor is used for real-time signal processing, optimizing the data analysis process, and performing tasks such as filtering, denoising and signal decoding; the storage module includes a random access memory and a flash memory or a hard disk drive; the data interface module supports data transmission with the optical sensor module, the communication interface and the user interface, and is responsible for protocol conversion and data formatting.

[0028] The communication interface is an important bridge connecting the data processing unit and the external system, and is responsible for data transmission, communication and control. The communication interface includes a physical layer interface, a communication protocol module, a data buffer, a control module, a data encryption / decryption module and a user interface. Among them, the physical layer interface is responsible for realizing the physical transmission of data between devices and ensuring the effective delivery of signals. The serial interface is suitable for short-distance and low-speed data transmission, while the Ethernet interface provides high-speed and long-distance data connection, which is suitable for network environment; the optical fiber interface is used in occasions requiring high bandwidth and anti-interference. These different types of interfaces enable the device to flexibly select the appropriate connection method according to actual needs, thereby achieving stable and reliable communication and meeting the needs of data transmission. The communication protocol module implements support for multiple communication protocols; such as TCP / IP, UDP, MQTT, Modbus, etc., to ensure that data can be effectively transmitted and received according to different communication protocols; the choice of protocol affects the standardization and flexibility of device interaction and ensures compatibility between devices from different manufacturers. The control module is responsible for controlling the establishment and disconnection of communication connections, data control of sending and receiving, fault detection, etc., to ensure the reliability and stability of communication, especially in complex network environments. The data encryption / decryption module includes symmetric encryption and asymmetric encryption to provide data transmission security and ensure that data is not stolen or tampered with during transmission; the user interface provides users with a configuration, monitoring and management interface, allowing them to set communication parameters and view real-time status and historical data.

[0029] User interface, the user interface is provided with a real-time status display area for displaying the specific status of the optical fiber link, signal strength, fault alarm and other key performance indicators. The user interface is provided with a navigation menu for accessing different functional modules, such as historical data query, device configuration and troubleshooting tools. In terms of functional interaction, users can make settings and adjustments through simple clicks, drags or slides, and the system will provide instant feedback to ensure that the user's operation is confirmed. To enhance operability, the interface design adopts the reasonable use of colors and icons to help users quickly identify different status and notification information. Intelligent recognition module, the intelligent recognition module is used to identify the OXC optical fiber status.

[0030] In this embodiment, real-time monitoring of the optical fiber status collects various key parameters of the optical fiber link, provides a more sensitive optical fiber status monitoring technology, improves the detection accuracy of optical signals, helps to quickly identify and solve potential problems, and ensures the stable operation of the network.

[0031] See also Figure 1 to Figure 2 As shown, this embodiment also provides an oxc optical fiber status monitoring method, including the following process:

[0032] Step 1: Determine to collect OXC fiber data; including the following process:

[0033] The optical signal strength, fiber temperature, bit error rate, signal-to-noise ratio, return loss and optical path status parameters are collected. Optical signal strength is a basic indicator for evaluating the health of a link, usually measured in dBm (decibel milliwatts); fiber temperature helps monitor the impact of the environment on fiber performance and avoids signal attenuation caused by temperature changes; bit error rate measures the reliability of data transmission, and a high bit error rate indicates that there is a problem with the fiber link. During the data collection process, parameter settings such as acquisition frequency and time interval are crucial. Parameter settings use real-time or periodic acquisition settings to enable flexible status monitoring. In addition, data collection should ensure that data can be collected stably during long-term operation. When setting parameters, records include timestamps, sensor IDs, measurement values ​​and corresponding units; this facilitates subsequent analysis and aggregation, while also accurately tracking data changes.

[0034] Step 2: Identify the OXC fiber status through the intelligent identification module. The specific process includes the following:

[0035] S1: RBFNN consists of three layers of neurons, namely the input layer, hidden layer and output layer. The input layer of the hidden layer is a fixed connection with a weight of 1. The hidden layer consists of a set of radial basis functions. Usually, all nodes in the hidden layer use the same radial basis function. The radial basis function has many forms, usually Gaussian functions. The hidden layer transforms the input vector and transforms the low-dimensional pattern input data into a high-dimensional space, so that the indivisible problem in the low-dimensional space is linearly separable in the high-dimensional space. First, determine the neural network learning rule W C :

[0036] W C =t+1[X(t)-w c ];

[0037] Among them, t is the time parameter, X(t) is the learning rate that decreases over time, and w c is the weight vector for each element;

[0038] S2: The neural network is trained using competitive self-learning rules, which assigns random weights to each neuron in the network and responds to special input patterns by comparing the distance between the weight and the input vector. The formula is: XW C =minX-W;

[0039] Among them, X represents the input vector, W represents the weight vector, and W C is the weight vector of the winning original element;

[0040] S3: The input fiber parameter vector is preprocessed and sent to the network; the network maps the input parameters to a high-dimensional feature space by selecting an appropriate radial basis function, and uses the weight vector learned in the previous step to perform a weighted summation on these features to generate the output layer result. After identifying an abnormal state, the system immediately triggers an alarm reminder to notify relevant personnel for further inspection and maintenance.

[0041] In this embodiment, through real-time monitoring of the optical fiber status, various key parameters of the optical fiber link are collected, a more sensitive optical fiber status monitoring technology is provided, the detection accuracy of the optical signal is improved, and it is helpful to quickly identify and solve potential problems and ensure the stable operation of the network. In addition, through efficient nonlinear modeling and rapid learning, the optical fiber status can be accurately judged to achieve real-time warning and system optimization.

[0042] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An oxc optical fiber status monitoring device, characterized in that: include: An optical sensor module, the optical sensor module includes a light source, an optical receiver and an optical fiber connector; the optical sensor module monitors the state of the optical fiber in real time, and transmits the acquired optical signal strength, loss and attenuation information to the data processing unit for analysis and processing; the light source is used to emit an optical signal of a specific wavelength; the optical receiver receives the optical signal after optical fiber transmission and converts it into an electrical signal; the optical connector is used as a connection part between the light source and the receiver and the optical fiber to ensure that the optical signal can be effectively transmitted; A control unit module, the control unit module controls the transmission power of the light source and the working state of the receiver to ensure that the optical sensor module operates in an optimal state; A data processing unit, the data processing unit includes a central processing unit, a digital signal processor, a storage module and a data interface module; the central processing unit is responsible for executing data processing and analysis algorithms and controlling the operation of the data processing unit; the digital signal processor is used for real-time signal processing, optimizing the data analysis process, and performing filtering, denoising and signal decoding tasks; the storage module includes a random access memory and a flash memory or a hard disk drive; the data interface module supports data transmission with the optical sensor module, the communication interface and the user interface, and is responsible for protocol conversion and data formatting; Communication interface, the communication interface includes a physical layer interface, a communication protocol module, a data buffer, a control module, a data encryption / decryption module and a user interface; the physical layer interface is responsible for realizing the physical transmission of data between devices to ensure the effective delivery of signals; the communication protocol module implements the support of multiple communication protocols; the control module is responsible for controlling the establishment and disconnection of communication connections, the control of sent and received data, and fault detection; the data encryption / decryption module includes symmetric encryption and asymmetric encryption to provide data transmission security to ensure that data is not stolen or tampered with during transmission; the user interface provides users with a configuration, monitoring and management interface, allowing them to set communication parameters and view real-time status and historical data; A user interface, wherein the user interface is provided with a real-time status display area for displaying the specific status of the optical fiber link, signal strength, fault alarm and other key performance indicators; the user interface is provided with a navigation menu for accessing different functional modules; An intelligent identification module is used to identify the OXC optical fiber status.

2. The method for monitoring the state of an oxc optical fiber according to claim 1, characterized in that: The process includes the following: Step 1: Determine to collect OXC fiber data; Step 2: Identify the OXC fiber status through the intelligent identification module.

3. The method for monitoring the state of an oxc optical fiber according to claim 2, characterized in that: Step 1 includes the following process: The optical signal strength, optical fiber temperature, bit error rate, signal-to-noise ratio, return loss and optical path status parameters are collected; the parameter setting adopts the setting of real-time collection or periodic collection; the parameter setting records include timestamp, sensor ID, measurement value and corresponding unit.

4. The method for monitoring the state of an oxc optical fiber according to claim 3, characterized in that: Step 2 includes the following process: S1: Determine the neural network learning rule W C : W C =t+1[X(t)-w c ]; Among them, t is the time parameter, X(t) is the learning rate that decreases over time, and w c is the weight vector for each element; S2: The neural network is trained using competitive self-learning rules, which assigns random weights to each neuron in the network and responds to special input patterns by comparing the distance between the weight and the input vector. The formula is: XW C =minX-W|; Among them, X represents the input vector, W represents the weight vector, and W C is the weight vector of the winning original element; S3: The input fiber parameter vector is preprocessed and sent to the network; the network maps the input parameters to a high-dimensional feature space by selecting an appropriate radial basis function, and uses the weight vector learned in the previous step to perform weighted summation on these features to generate the output layer result. After identifying an abnormal state, the system immediately triggers an alarm reminder.

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