Intelligent identification and early warning system for optical fiber logic link

Abstract

The invention belongs to the technical field of information communication, and discloses an optical fiber logic link intelligent identification and early warning system, which comprises an optical fiber sensor, a data acquisition module, a processing unit and a communication module, the system is characterized in that the processing unit comprises a data processing module, a state identification module, an early warning mechanism and a data recording and analyzing module. The method has the main beneficial technical effects that a user can intuitively see the change trend of each parameter and the current link state, so that the user is ensured to know the potential fault or degradation risk at the first time. In the aspect of real-time monitoring, the system not only records current data, but also analyzes historical data by using an intelligent recognition algorithm, and recognizes the health state and the possible deterioration trend of the optical fiber link. The early warning system not only enhances the security of the optical fiber communication network, but also provides powerful information support for users, and assists the intelligent management of the optical fiber network.

Description

Technical Field

[0001] The present invention belongs to the field of information communication technology, and in particular relates to an intelligent identification and early warning system for optical fiber logic links. Background Art

[0002] With the rapid development of information technology, fiber-optic communication has become the mainstream architecture of modern communication networks. With its high bandwidth, low loss and good anti-interference ability, optical fiber plays an irreplaceable role in data transmission. However, with the expansion of network scale and the diversification of application requirements, the reliability and security of optical fiber links are facing new challenges. Optical fiber links are not only affected by environmental factors, but may also cause signal attenuation or interruption due to equipment aging, physical damage or human damage. These problems will not only affect the normal user experience, but may even have a serious impact on the business operations of enterprises.

[0003] CN116015443A discloses a method for online monitoring of optical fiber links in smart substations based on domain knowledge graphs. The method exports port information through SCD files and SPCD files, defines triple information as needed, and then uses domain knowledge graphs to establish virtual-real loop models in combination with virtual loop information to complete the full-link information display of smart substations. At the same time, it extracts the optical power information of the interval layer equipment, process layer equipment, and switch ports to form a method for monitoring optical fiber links in smart substations, and provides auxiliary means for eliminating broken links in smart substations. The above method still needs to be improved in terms of the reliability and security of optical fiber links. Summary of the invention

[0004] To solve the above problems, the purpose of the present invention is to disclose an intelligent identification and early warning system for optical fiber logical links, which is implemented by adopting the following technical solutions.

[0005] An intelligent identification and early warning system for optical fiber logical links includes an optical fiber sensor, a data acquisition module, a processing unit, and a communication module; the characteristic is that the processing unit includes a data processing module, a state identification module, an early warning mechanism, and a data recording and analysis module.

[0006] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the optical fiber sensor is responsible for real-time monitoring of the health status of the optical fiber link. The optical fiber sensor uses the physical properties of the optical fiber to efficiently capture the changes in the optical signal in the link, thereby providing an in-depth understanding of the optical fiber performance; the optical fiber sensor can collect the amplitude and phase information of the optical signal in real time, and through precise algorithm analysis, judge the health status of the optical fiber link. When the signal is monitored to be abnormal or exceeds the set threshold, the sensor can quickly issue an alarm to help operation and maintenance personnel locate the problem in time and prevent potential faults from further developing.

[0007] The above-mentioned intelligent identification and early warning system for optical fiber logical links is characterized in that: the data acquisition module is responsible for collecting and processing the data monitored by the optical fiber sensor in real time. The data acquisition module ensures efficient data acquisition and transmission to support subsequent analysis and decision-making. The data acquisition module is usually equipped with a high-precision analog-to-digital converter, which can convert the analog signal from the optical fiber sensor into a digital signal, thereby making it suitable for digital processing and analysis; the data acquisition module has storage capabilities. When the network is delayed or interrupted, the data can be temporarily stored and transmitted after the system is restored, ensuring the integrity and continuity of the data. After the acquisition is completed, the data will be transmitted through the onboard communication interface.

[0008] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the processing unit is responsible for in-depth analysis and processing of the signal transmitted from the data acquisition module, and the processing unit adopts an embedded processor.

[0009] The above-mentioned intelligent identification and early warning system for optical fiber logical links is characterized in that: the communication module is responsible for the transmission and reception of information. The working process of the communication module starts from the signal source and activates the optical transmitter by driving the electronic device. The optical transmitter has a built-in semiconductor laser that can convert electrical signals into optical signals and ensure the effective encoding of information through optical modulation technology.

[0010] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data processing module undertakes the important task of information collection and analysis, and is to improve the efficiency and accuracy of data processing. First, the module will detect the input of sensor information and verify whether there is a historical record. If the historical record is available, the system will automatically select basic parameters for subsequent analysis; if there is no historical record, the basic parameters need to be manually input. This decision-making process ensures that the basic settings of data analysis are optimized based on existing data and can better reflect the current system status. Next, the user will input the source data and select the relevant fitting line. The module provides a variety of options, including the least squares straight line and the best straight line, to meet different types of data analysis requirements. After selecting the appropriate fitting line, the module will output a series of key indicators, including basic error, linearity, sensitivity, reproducibility and return difference. These output results provide users with a comprehensive analysis perspective to help them evaluate the performance and stability of the optical fiber link; the data processing module also has the function of data storage and query. The system will save the source data and calculation results for subsequent query and analysis. The user can trace back the data as needed to obtain historical calculation results to provide support for further judgment and decision-making.

[0011] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the status identification module is responsible for real-time monitoring and evaluation of the operating status of the optical fiber communication system. By analyzing the collected data, the module can identify various system states, including normal operation, abnormal warning and fault warning.

[0012] The optical fiber logical link intelligent identification and early warning system described above is characterized in that the early warning mechanism can promptly identify and respond to abnormal conditions in the optical fiber link. The mechanism analyzes the health status of the optical fiber link in real time by setting thresholds for key monitoring parameters, and quickly captures possible faults and risks. If the monitored parameters exceed the set safety range, the system will automatically trigger an early warning to ensure that the user can obtain relevant information in the first place and take appropriate measures to deal with it.

[0013] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data recording and analysis module establishes a comprehensive data recording system by collecting various performance data of the optical fiber link in real time, providing a solid data foundation for subsequent fault tracking, performance evaluation and network optimization. This module not only focuses on current status monitoring, but also attaches importance to the accumulation and analysis of historical data, so that users can obtain a more comprehensive view of the network health status. The data recording and analysis module will first collect data from the optical fiber sensor in real time.

[0014] This application has the following major beneficial technical effects: Users can intuitively see the changing trends of various parameters and the current link status, thereby ensuring that users are informed of potential failure or degradation risks at the first time. In terms of real-time monitoring, the system not only records current data, but also uses intelligent recognition algorithms to analyze historical data to identify the health status and possible degradation trends of the optical fiber link. The early warning system not only enhances the security of the optical fiber communication network, but also provides users with strong information support, facilitating the intelligent management of the optical fiber network. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a data processing flow chart in this application. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand and implement this patent, the specific implementation methods of this application are now described in detail in conjunction with the drawings in the specification.

[0017] An intelligent identification and early warning system for optical fiber logical links includes an optical fiber sensor, a data acquisition module, a processing unit, and a communication module; the characteristic is that the processing unit includes a data processing module, a state identification module, an early warning mechanism, and a data recording and analysis module.

[0018] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the optical fiber sensor is responsible for real-time monitoring of the health status of the optical fiber link. The optical fiber sensor uses the physical properties of the optical fiber to efficiently capture the changes in the optical signal in the link, thereby providing an in-depth understanding of the optical fiber performance. These sensors usually adopt distributed optical fiber sensing technology, which can monitor the entire length of the optical fiber and sensitively detect the impact of environmental factors such as temperature, pressure, bending and vibration on the optical fiber signal. The advantages of optical fiber sensors are their high sensitivity and anti-interference ability. Compared with traditional electrical sensors, optical fiber sensors are not affected by electromagnetic interference and can maintain good performance in a high-noise environment. In addition, optical fiber sensors have the ability of remote monitoring and are suitable for long-distance optical fiber link monitoring, eliminating the need for multiple sensor nodes and reducing the complexity and cost of the system; these sensors can collect the amplitude and phase information of the optical signal in real time, and judge the health status of the optical fiber link through precise algorithm analysis. When the signal is detected to be abnormal or exceeds the set threshold, the sensor can quickly issue an alarm to help operation and maintenance personnel locate the problem in time and prevent potential faults from further developing. Overall, optical fiber sensors play a vital role in the system and provide a reliable foundation for intelligent monitoring and fault early warning of optical fiber links.

[0019] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data acquisition module is responsible for collecting and processing the data monitored by the optical fiber sensor in real time. The data acquisition module ensures efficient data collection and transmission to support subsequent analysis and decision-making. The data acquisition module is usually equipped with a high-precision analog-to-digital converter (ADC) that can convert the analog signal from the optical fiber sensor into a digital signal, thereby making it suitable for digital processing and analysis; during the data acquisition process, the module needs to have the ability to quickly sample in order to capture changes in the optical fiber link in real time. The high sampling rate can ensure that even in the case of large signal fluctuations, each change can be accurately recorded. In addition, the module will integrate a variety of signal filtering and enhancement algorithms to reduce noise and improve signal quality, ensuring the accuracy and availability of the collected data. The data acquisition module also has a certain storage capacity, so that when there is a delay or interruption in the network, the data can be temporarily stored and transmitted after the system is restored. This design ensures the integrity and continuity of the data, so that subsequent analysis is not affected. After the collection is completed, the data will be transmitted to the back-end processing unit or central monitoring system in an efficient manner through the communication interface. Such an architecture not only improves the overall performance of the system, but also provides strong support for real-time monitoring and fault handling.

[0020] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the processing unit is responsible for in-depth analysis and processing of the signal transmitted from the data acquisition module. The processing unit adopts an embedded processor. This processor is suitable for use in real-time monitoring systems due to its high efficiency and low power consumption. The embedded processor can quickly process a large amount of data and execute complex algorithms in real time to evaluate the health status of the optical fiber link. During the data processing process, the embedded processor will perform multiple analyses on the collected signals, including data filtering, feature extraction and pattern recognition. This process can effectively identify potential abnormal conditions and compare them with the set normal parameters, thereby achieving early fault warning. When the system detects any abnormality, the processing unit will immediately trigger the alarm mechanism to ensure that maintenance personnel obtain information in time so that necessary measures can be taken quickly to deal with it. In addition, the built-in storage function of the processing unit enables it to save historical data and operation logs, which not only provides an important basis for subsequent fault analysis, but also provides data support for system optimization and upgrading. By continuously accumulating and analyzing these data, the system can gradually improve the accuracy and intelligence level of fault detection, making the monitoring of optical fiber links more efficient and reliable.

[0021] The optical fiber logic link intelligent identification and early warning system described above is characterized in that: the communication module is responsible for the transmission and reception of information. The workflow of the communication module starts from the source of information. The optical transmitter is activated by driving the electronic device. The optical transmitter has a built-in semiconductor laser, which can convert the electrical signal into an optical signal and ensure the effective encoding of the information through optical modulation technology. This stage is the starting point of information transmission, ensuring the accuracy and stability of the signal; once the optical signal is generated, it is transmitted through the optical fiber link. In the optical fiber, the signal is transmitted in the form of light, which greatly reduces the attenuation and interference of the signal during the transmission process. In order to enhance the strength and quality of the signal, an optical amplifier is introduced to ensure that the signal remains clear and recognizable even in long-distance transmission; the optical receiver at the receiving end is responsible for converting the received optical signal back to an electrical signal. The receiver contains a photodetector and an optical pre-amplifier. These components work together to convert the optical signal into an electrical signal and perform preliminary amplification to improve the signal processing capability. After this series of conversions and processing, the information is finally delivered to the destination, ensuring the integrity and accuracy of the data. The design of the entire communication module enables optical fiber communication to efficiently and quickly transmit a large amount of information, giving full play to the advantages of optical fiber technology.

[0022] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data processing module undertakes the important task of information collection and analysis, and aims to improve the efficiency and accuracy of data processing. First, the module will detect the input of sensor information and verify whether there is a historical record. If the historical record is available, the system will automatically select basic parameters for subsequent analysis; if there is no historical record, the basic parameters need to be entered manually. This decision-making process ensures that the basic settings of data analysis are optimized based on the existing data and can better reflect the current system status. Next, the user will input the source data and select the relevant fitting line. The module provides a variety of options, including the least squares straight line and the best straight line. , to adapt to different types of data analysis needs. After selecting the appropriate fitting line, the module will output a series of key indicators, including basic error, linearity, sensitivity, reproducibility and return difference. These output results provide users with a comprehensive analysis perspective to help them evaluate the performance and stability of the optical fiber link. In addition, the data processing module also has the function of data storage and query. The system will save the source data and calculation results to facilitate subsequent query and analysis. Users can trace back the data as needed to obtain historical calculation results to provide support for further judgment and decision-making. Through this series of processes, the data processing module not only improves the level of automation of information processing, but also provides a solid foundation for continuous optimization of the system and fault warning.

[0023] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the state identification module is responsible for real-time monitoring and evaluation of the operating status of the optical fiber communication system. The module can identify various states of the system, including normal operation, abnormal warning and fault warning, by analyzing the collected data. Its main goal is to ensure the stability and reliability of the communication system and provide timely feedback and decision support for operation and maintenance personnel. The module adopts a variety of algorithms and models, combined with machine learning technology, and can efficiently process and analyze a large amount of data. After feature extraction of the input data, the state identification module compares it with the preset state model to identify the current state. This process not only improves the accuracy of identification, but also can adapt to changes in different environments and adjust parameters in time to optimize the identification effect. In order to enhance the practicality of the module, the state identification module also has a visualization function, which can display the identification results in an intuitive graphical form. Users can monitor the system status in real time through charts and dashboards and quickly capture potential problems. In addition, the module also provides log recording and historical status query functions, so that operation and maintenance personnel can trace and analyze past state changes and further optimize maintenance strategies. By integrating data analysis and visualization display, the state identification module provides strong support for the management and maintenance of optical fiber communication systems.

[0024] The optical fiber logical link intelligent identification and early warning system described above is characterized in that the early warning mechanism can timely identify and respond to abnormal conditions in the optical fiber link. The mechanism analyzes the health status of the optical fiber link in real time by setting thresholds of key monitoring parameters so as to quickly capture possible faults and risks. If the monitored parameters exceed the set safety range, the system will automatically trigger an early warning to ensure that the user can obtain relevant information at the first time and take appropriate measures to deal with it. In the design of the early warning mechanism, the system not only relies on static thresholds, but also combines dynamic learning capabilities. By analyzing historical data and real-time data, the early warning system can continuously adjust and optimize the threshold settings to make it more Adapting to the actual operating environment, this adaptive capability significantly improves the accuracy of early warning, reduces the probability of false alarms and missed alarms, and provides a more reliable basis for decision-making for operation and maintenance personnel; in addition, the early warning mechanism also has a multi-level early warning function, which can take different response measures according to the severity of the abnormal situation. The system can convey early warning information to relevant personnel in a timely manner through sound and light alarms, text messages or e-mails, etc., to ensure a rapid response when problems occur. This flexible early warning strategy not only improves the monitoring efficiency of the fiber optic link, but also provides comprehensive support for the maintenance team, enabling it to take preventive measures before a failure occurs, thereby effectively improving the overall security and stability of the fiber optic network.

[0025] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data recording and analysis module establishes a comprehensive data recording system by real-time collection of various performance data of the optical fiber link, providing a solid data foundation for subsequent fault tracing, performance evaluation and network optimization. This module not only focuses on current status monitoring, but also attaches importance to the accumulation and analysis of historical data, so that users can obtain a more comprehensive view of the network health status. The data recording and analysis module will first collect data from the optical fiber sensor in real time. These data include key parameters such as the intensity, wavelength and transmission rate of the optical signal. The system will accurately collect data through a high-speed analog-to-digital converter (ADC) to ensure the accuracy and timeliness of the data. All collected data will be stored in the database in an orderly manner to form a historical data record of the system. These data not only provide a basis for real-time monitoring, but also provide rich resources for subsequent analysis. In terms of data analysis, the module uses a variety of algorithms and technologies, including statistical analysis, machine learning and data visualization. Through in-depth analysis of historical data, the system can identify long-term trends and periodic fluctuations in link performance, which is crucial for predicting future performance changes. For example, by analyzing the performance of optical fiber links at different times and under different environmental conditions, the system can identify potential degradation trends and issue early warnings to help users take necessary maintenance measures before the problem becomes serious. In addition, the data recording and analysis module also has powerful fault tracking capabilities. When the system issues an early warning, the relevant historical data will be quickly retrieved so that technicians can quickly analyze the cause of the fault and locate the specific location of the problem. This capability not only improves the efficiency of fault handling, but also provides important data support for subsequent maintenance, ensuring the continuous and stable operation of the network. The module displays data to users in the form of graphics and numbers through a user-friendly interface. Users can easily view the real-time status of optical fiber links, historical data trends and related analysis reports, thereby obtaining an intuitive overview of network health. This visual approach greatly enhances users' management capabilities, enabling them to better understand network operation status and make timely decisions.

[0026] The optical fiber logical link intelligent identification and early warning system described above is characterized in that the early warning mechanism is included in the early warning system. The early warning system can ensure that the optical fiber link can issue an alarm in time when an abnormal situation occurs, thereby providing users with necessary maintenance and intervention information to prevent potential fault escalation. The design of the early warning system is based on multi-level threshold settings, which can provide corresponding early warning responses for different types of abnormal situations to ensure that users can obtain comprehensive and timely information. The working principle of the early warning system is based on real-time monitoring data. It first collects multiple key performance indicators of the optical fiber link through the data acquisition module, including optical signal intensity, wavelength, transmission rate, etc. Once these data are transmitted to the processing unit, the system will compare them with the preset threshold. If a monitoring parameter exceeds the set threshold, the system will immediately trigger the early warning mechanism. The early warning mechanism will not only notify users through intuitive methods such as sound and light alarms, but also support multiple communication methods such as sending text messages and emails to ensure that the information can quickly reach relevant personnel and take timely action. In order to improve the accuracy and effectiveness of the early warning, the early warning system also integrates intelligent learning functions. Through continuous accumulation and analysis of data, the system can continuously adjust the threshold and early warning strategy according to historical data and current status to adapt to changes in the optical fiber link. For example, in some cases, the normal fluctuation of the link within a specific time period may lead to false alarms. The system can reduce the occurrence of false alarms and improve the accuracy of early warnings by learning these patterns. In addition, the early warning system can also set multi-level response mechanisms for different degrees of abnormal situations, thereby providing users with flexible response plans. Another important aspect of the early warning system is its data recording and analysis capabilities. Whenever an early warning is triggered, the system will record the relevant status data and timestamps. This information not only helps technicians quickly locate the cause of the fault, but also provides valuable data support for subsequent fault analysis and network optimization. Through the analysis of historical early warning data, the system can identify the long-term trend of link performance and potential risk points, and provide users with targeted improvement suggestions. In summary, the early warning system provides important guarantees for the safe and stable operation of optical fiber links through efficient threshold setting, intelligent learning, flexible response mechanisms, and powerful data recording and analysis capabilities. The design of this module not only improves the management efficiency of optical fiber networks, but also significantly reduces the cost of operation and maintenance, ensuring that users can take necessary measures in a timely manner when facing potential risks, thereby improving the overall security and reliability of optical fiber communication networks.

[0027] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the state identification module can realize intelligent identification. The intelligent identification module is one of the important functions for realizing self-monitoring and evaluation of optical fiber links. Through advanced signal processing algorithms, this module can analyze and judge the health status of optical fiber links in real time, thereby quickly identifying potential faults and degradation conditions. The core of intelligent identification lies in the in-depth analysis of the parameters collected in the optical fiber link, which include light intensity, wavelength, transmission rate, etc. By carefully comparing these data, the system can detect slight changes in link status, which are often precursors to failures. In order to achieve efficient intelligent identification, the system uses a series of machine learning algorithms, such as support vector machines (SVM) and decision trees. These algorithms continuously optimize their models by learning from historical data, thereby improving the ability to identify the status of optical fiber links. The system collects current optical signal data in real time, compares it with historical data, analyzes trends and anomalies, and automatically adjusts the identification model to adapt to changes in the network environment. Such adaptive capabilities enable the system to maintain high accuracy under different working conditions, thereby ensuring that the optical fiber link is always in the best working state. The intelligent identification module not only has fault detection functions, but also can predict future link status through predictive analysis. The system identifies long-term performance trends and discovers potential performance degradation problems in advance, helping users take preventive measures to avoid failures. The learning and adaptive processing in this process enable the system to maintain a high degree of sensitivity and accuracy when facing dynamic changes in the optical fiber network. In addition, the intelligent identification capability of the module also enables users to obtain detailed fault information when abnormal situations occur. This information not only includes the fault type, but also covers the possible causes of the fault, which further enhances the user's decision-making ability in network management and maintenance. By combining continuous monitoring of the fiber optic link status with intelligent identification, the system improves the reliability of the fiber optic network, reduces the fault response time, and provides strong support for the stability and security of fiber optic communications. Overall, the design and implementation of the intelligent identification module not only enhances the intelligence level of the optical fiber logical link intelligent identification and early warning system, but also lays a solid foundation for future optical fiber network management.

[0028] The optical fiber logical link intelligent identification and early warning system described above is characterized in that: the data acquisition module can realize real-time monitoring, and the real-time monitoring module undertakes the important task of continuously observing and evaluating the status of the optical fiber link. The module can monitor multiple key parameters in the optical fiber link in real time, including optical signal strength, wavelength, transmission rate and other related performance indicators. Real-time monitoring of these parameters not only helps to evaluate the health of the link, but also provides users with intuitive data feedback, ensuring that they can have a clear understanding of the operation of the fiber optic network at any time. The system obtains real-time data through high-precision fiber optic sensors and quickly transmits this information to the processing unit in combination with the data acquisition module. In this process, the processing unit is responsible for real-time analysis of the collected data so that it can respond quickly when an abnormality occurs. The data is presented in a combination of graphics and numbers. The user interface not only displays the current light intensity and wavelength, but also provides trend charts to help users intuitively understand the changes in link performance. This visual display method enables users to quickly identify the health of the fiber optic link, discover potential faults and degradation problems in a timely manner, and then take corresponding maintenance measures. In addition, the real-time monitoring module also has data storage and history recording functions, which can save and archive real-time collected data for subsequent data analysis and fault tracking. The realization of this function can not only help technicians quickly locate faults when problems occur, but also provide valuable data support for network optimization. By analyzing historical data, the system can identify long-term trends in link performance, help users develop more effective maintenance plans, and improve the overall reliability and stability of the fiber optic network. In order to enhance the intelligent features of the system, the module will continue to self-learn and adapt, and adjust monitoring parameters according to changes in the network environment. This adaptive capability enables the system to maintain efficient monitoring performance under different operating conditions, ensuring that the fiber optic link is always in the best working state. Through the effective operation of the real-time monitoring module, users can more actively manage the fiber optic link to ensure the continuity and stability of communication. Overall, real-time monitoring is not only an important part of the intelligent identification and early warning system of optical fiber logical links, but also a basic guarantee for maintaining the security and efficient operation of the optical fiber network.

[0029] This system uses advanced fiber optic sensors to monitor key parameters of fiber optic links in real time, such as light intensity, wavelength and transmission rate, and summarizes this data in the user interface. On the interface, users can intuitively see the changing trends of various parameters and the current link status. Once the monitored parameters exceed the set safety threshold, the early warning system will immediately issue an alarm. This alarm is not only displayed intuitively through the interface, but also may notify users in the form of text messages and emails, so as to ensure that users are informed of potential failures or degradation risks at the first time. The early warning system has a multi-level alarm mechanism that can take different response measures according to the severity of the abnormality. For example, a slight deviation may only display a warning on the interface, while a serious failure will trigger an audible and visual alarm and other notification methods to ensure that users can take necessary actions in time. The user interface is user-friendly and the data is clearly presented in the form of graphics and numbers, helping users to quickly grasp key information and respond quickly. In terms of real-time monitoring, the system not only records current data, but also uses intelligent recognition algorithms to analyze historical data to identify the health status and possible degradation trends of the fiber optic link. Through these functions, the system can achieve efficient analysis and processing of data, ensuring that users have sufficient information support when facing potential risks. At the same time, real-time data records also provide a valuable data basis for subsequent fault tracking and network optimization. The early warning system provides strong protection for the optical fiber communication network through comprehensive and real-time monitoring and intelligent analysis, greatly improving the reliability and security of the network, and also providing solid data support for users' decision-making. With the continuous evolution of technology, the early warning system will play an increasingly important role in the future communication field. By real-time monitoring of multiple key parameters of the optical fiber link, such as optical signal strength, wavelength and transmission rate, the system can quickly identify possible faults and degradations. Once the monitoring data exceeds the set threshold, the system will immediately trigger an early warning and notify relevant personnel through sound and light alarms, SMS or emails to ensure that users are aware of the status of the optical fiber link at the first time. In the user interface, the system presents the monitored real-time data in graphical and digital form, so that users can intuitively understand the health status and abnormal conditions of the link. The device status, fault records and historical data analysis displayed in the interface help users quickly identify problems and take corresponding measures. The multi-level design of the early warning mechanism allows the system to take different response methods according to the severity of the abnormality, thereby ensuring the timely transmission and effective processing of information. In addition, the system also has a data recording function, which provides important support for subsequent fault tracking and network optimization by continuously collecting and storing data. The real-time data analysis capability enables the system to not only identify current anomalies, but also predict potential risks in the future, further improving the reliability of the fiber optic network. Overall, the design of the early warning system not only enhances the security of fiber optic communications, but also provides strong guarantees for users to manage and maintain the network, promoting the intelligent development of fiber optic networks.The system can detect the failure, degradation and potential risks of the link in time by real-time monitoring of the key parameters of the optical fiber link, including optical signal strength, wavelength and transmission rate. Once the monitored parameters exceed the set threshold, the early warning mechanism will be quickly activated, triggering an audible and visual alarm and notifying relevant personnel through SMS or email, ensuring that users can obtain information and take corresponding measures in the first time. In the user interface, the system displays this information in the form of graphics and numbers, allowing users to intuitively understand the health status of the optical fiber link. The clear indicators and trend charts on the interface show the changes in the monitoring data and provide real-time feedback to users. In addition, the early warning system supports multi-level alarms and can automatically adjust the response measures according to the severity of the anomaly, thereby ensuring the timely transmission and effective processing of information. The system also has the function of data recording and analysis, storing the real-time collected data to provide support for subsequent fault tracking and network optimization. By analyzing historical data, the system can identify the degradation trend of the link, further improving the reliability and maintenance efficiency of the network. In short, the design of the early warning system not only enhances the security of the optical fiber communication network, but also provides users with strong information support and helps the intelligent management of the optical fiber network.

[0030] This application has the following major beneficial technical effects: Users can intuitively see the changing trends of various parameters and the current link status, thereby ensuring that users are informed of potential failure or degradation risks at the first time. In terms of real-time monitoring, the system not only records current data, but also uses intelligent recognition algorithms to analyze historical data to identify the health status and possible degradation trends of the optical fiber link. The early warning system not only enhances the security of the optical fiber communication network, but also provides users with strong information support, facilitating the intelligent management of the optical fiber network.

[0031] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including the equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. An optical fiber logical link intelligent identification and early warning system, comprising an optical fiber sensor, a data acquisition module, a processing unit, and a communication module; characterized in that: The processing unit includes a data processing module, a state identification module, an early warning mechanism, and a data recording and analysis module.

2. The optical fiber logical link intelligent identification and early warning system according to claim 1, characterized in that: Fiber optic sensors are responsible for real-time monitoring of the health status of fiber optic links. Using the physical properties of optical fibers, fiber optic sensors can efficiently capture changes in optical signals in the link, thereby providing an in-depth understanding of fiber optic performance. Fiber optic sensors can collect amplitude and phase information of optical signals in real time, and use precise algorithm analysis to determine the health status of fiber optic links. When a signal abnormality is detected or exceeds a set threshold, the sensor can quickly issue an alarm to help operation and maintenance personnel locate the problem in a timely manner and prevent potential faults from developing further.

3. The optical fiber logical link intelligent identification and early warning system according to claim 2 is characterized in that: The data acquisition module is responsible for collecting and processing the data monitored by the fiber optic sensor in real time. The data acquisition module ensures efficient data collection and transmission to support subsequent analysis and decision-making. The data acquisition module is usually equipped with a high-precision analog-to-digital converter that can convert the analog signal from the fiber optic sensor into a digital signal, making it suitable for digital processing and analysis; the data acquisition module has storage capabilities. When there is a delay or interruption in the network, the data can be temporarily stored and transmitted after the system is restored, ensuring the integrity and continuity of the data. After the collection is completed, the data will be transmitted through the onboard communication interface.

4. The optical fiber logical link intelligent identification and early warning system according to claim 3 is characterized in that: The processing unit is responsible for in-depth analysis and processing of the signals transmitted from the data acquisition module, and the processing unit adopts an embedded processor.

5. The optical fiber logical link intelligent identification and early warning system according to claim 4 is characterized in that: The communication module is responsible for the transmission and reception of information. The workflow of the communication module starts from the signal source and activates the optical transmitter by driving the electronic device. The optical transmitter has a built-in semiconductor laser that can convert electrical signals into optical signals and ensure the effective encoding of information through optical modulation technology.

6. The optical fiber logical link intelligent identification and early warning system according to claim 5, characterized in that: The data processing module undertakes the important task of information collection and analysis, aiming to improve the efficiency and accuracy of data processing. First, the module detects the input of sensor information and verifies whether there is a historical record. If the historical record is available, the system will automatically select basic parameters for subsequent analysis; if there is no historical record, the basic parameters need to be manually entered. This decision-making process ensures that the basic settings of data analysis are optimized based on the existing data and can better reflect the current system status. Next, the user will input the source data and select the relevant fitting line. The module provides a variety of options, including the least squares straight line and the best straight line, to meet different types of data analysis needs. After selecting the appropriate fitting line, the module will output a series of key indicators, including basic error, linearity, sensitivity, reproducibility and return difference. These output results provide users with a comprehensive analysis perspective to help them evaluate the performance and stability of the optical fiber link. The data processing module also has the functions of data storage and query. The system will save the source data and calculation results to facilitate subsequent query and analysis. Users can trace back the data as needed to obtain historical calculation results to provide support for further judgment and decision-making.

7. The optical fiber logical link intelligent identification and early warning system according to claim 6, characterized in that: The status recognition module is responsible for real-time monitoring and evaluation of the operating status of the optical fiber communication system. By analyzing the collected data, the module can identify various system states, including normal operation, abnormal warnings and fault warnings.

8. The optical fiber logical link intelligent identification and early warning system according to claim 7, characterized in that: The early warning mechanism can promptly identify and respond to abnormal conditions in the optical fiber link. By setting thresholds for key monitoring parameters, the mechanism analyzes the health status of the optical fiber link in real time and quickly captures possible faults and risks. If the monitored parameters exceed the set safety range, the system will automatically trigger an early warning to ensure that users can obtain relevant information in the first place and take appropriate measures to deal with it.

9. The optical fiber logical link intelligent identification and early warning system according to claim 8, characterized in that: The data recording and analysis module establishes a comprehensive data recording system by collecting various performance data of the optical fiber link in real time, providing a solid data foundation for subsequent fault tracing, performance evaluation and network optimization. This module not only focuses on current status monitoring, but also attaches importance to the accumulation and analysis of historical data, so that users can obtain a more comprehensive view of the network health status. The data recording and analysis module will first collect data from the optical fiber sensor in real time.

10. The optical fiber logical link intelligent identification and early warning system according to claim 9, characterized in that: The early warning mechanism is included in the early warning system. The early warning system can ensure that the optical fiber link can issue an alarm in time when an abnormal situation occurs, thereby providing users with necessary maintenance and intervention information to prevent potential fault escalation. The design of the early warning system is based on multi-level threshold settings, which can provide corresponding early warning responses for different types of abnormal situations to ensure that users can obtain comprehensive and timely information. The working principle of the early warning system is based on real-time monitoring data. It first collects a variety of key performance indicators of the optical fiber link through the data acquisition module, including optical signal intensity, wavelength, and transmission rate. Once these data are transmitted to the processing unit, the system will compare them with the preset threshold. If a monitoring parameter exceeds the set threshold, the system will immediately trigger the early warning mechanism; the early warning mechanism will not only notify users through intuitive methods such as sound and light alarms, but also support sending text messages and emails. The early warning system also integrates intelligent learning functions. Through continuous accumulation and analysis of data, the system can continuously adjust thresholds and early warning strategies based on historical data and current status to adapt to changes in optical fiber links.

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