Optical transport network apparatus and system

Abstract

This invention provides an optical transport network device and system. The optical transport network device includes a main control module, an intelligent processing module, and a transmission module. The main control module acquires the operating status data of the transmission module, generates task processing requests based on the operating status data, and distributes the task processing requests to the intelligent processing module. The intelligent processing module receives the task processing requests, analyzes and processes the operating status data based on the task processing requests, and sends the task processing results to the main control module. The main control module also makes task decisions based on the task processing results, avoiding the high latency problem caused by data reporting to the management and control system, enabling network elements to have local real-time optimization capabilities. Simultaneously, because intelligent analysis is performed locally, only the analyzed results need to be reported, eliminating the need to transmit massive amounts of data, reducing the network element's information reporting bandwidth requirements on the management and control channel, and alleviating the processing pressure on the network management and control system.

Description

Technical Field

[0001] This invention relates to the field of optical network transmission technology, and more particularly to an optical transmission network device and system. Background Technology

[0002] Optical Transport Networks (OTNs), as the core of communication networks, bear massive data transmission tasks. With the rapid development of artificial intelligence and cloud computing, the data transmission demands of various emerging services have surged, leading to a dramatic increase in the traffic carried by OTNs. Traditional OTNs have revealed numerous problems when dealing with such enormous traffic pressure, such as low efficiency, poor flexibility and reliability, and insufficient intelligence.

[0003] Currently, the intelligent capabilities of optical transport networks mainly rely on network management and control systems. These systems need to collect various status parameters of network elements across a large network. However, under the current SDN (Software-Defined Network)-based management and control architecture, limitations in control channel bandwidth and the processing capacity of the network management and control system make it inadequate when dealing with the rapidly changing and massive amounts of status parameters from optical transport network equipment. On the one hand, its own processing capacity is limited, making it unable to analyze and process large-scale data in a timely and effective manner; on the other hand, the limited control channel bandwidth results in high processing latency and large communication bandwidth consumption due to status information reporting, leading to poor management and maintenance efficiency. Summary of the Invention

[0004] This invention provides an optical transport network device and system to solve the problems of insufficient intelligence capabilities, inability to process massive amounts of data in a timely and effective manner, and insufficient intelligent analysis capabilities in existing optical transport network devices. It improves the intelligence level of the optical transport network, enhances the real-time processing of network data, and optimizes the management and operation efficiency of the optical transport network.

[0005] This invention provides an optical transmission network device, including a main control module, an intelligent processing module, and a transmission module; The main control module is used to acquire the operating status data of the transmission module, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module. The intelligent processing module is used to receive the task processing request, analyze and process the running status data based on the task processing request, obtain the task processing result, and send the task processing result to the main control module. The main control module is also used to receive the task processing results and make task decisions based on the task processing results.

[0006] According to an optical transport network device provided by the present invention, the operating status data includes signal transmission status data; the task processing request is a network element analysis request. The intelligent processing module is specifically used to call the state analysis model corresponding to the network element analysis request, perform network element state analysis on the signal transmission state data, obtain the network element state analysis result, and send the network element state analysis result to the main control module; The main control module is specifically used to generate a network element configuration optimization strategy based on the network element status analysis results, and to optimize the parameters of the transmission module based on the network element configuration optimization strategy.

[0007] According to an optical transport network device provided by the present invention, the operating status data includes service operating status parameters; the task processing request is a fault diagnosis request. The intelligent processing module is specifically used to call the fault diagnosis model corresponding to the fault diagnosis request, perform fault diagnosis on the business operation status parameters, obtain the fault diagnosis result, and send the fault diagnosis result to the main control module. The main control module is specifically used to report the fault diagnosis results to the network management system for the network management system to make management decisions.

[0008] According to an optical transport network device provided by the present invention, the transmission module includes a service-level transmission module; the fault diagnosis request includes a fault classification request, and the fault diagnosis result includes a fault classification result; The intelligent processing module is specifically used to call the fault classification model in the fault diagnosis model, classify the business operation status parameters for faults, obtain the fault classification result, and send the fault classification result to the main control module; The main control module is specifically used to report the fault classification results to the network management system for the network management system to make management decisions.

[0009] According to an optical transport network device provided by the present invention, the transmission module includes a line-level transmission module; the fault diagnosis request includes a fault location request, and the fault diagnosis result includes a fault location result. The intelligent processing module is specifically used to call the fault location model in the fault diagnosis model, locate the fault in the business operation status parameters, obtain the fault location result, and send the fault location result to the main control module. The main control module is specifically used to report the fault location results to the network management system for the network management system to make management decisions.

[0010] According to an optical transport network device provided by the present invention, the service operation status parameters include optical phase change information of the line-level transmission module; The main control module is also used to receive optical signal degradation information reported by the line-level transmission module, and when the optical signal degradation information indicates that the optical signal has instantaneously degraded, generate a control start command and send it to the line-level transmission module. The line-level transmission module is used to receive the control start command and, based on the control start command, control the built-in optical time domain reflectometer to start, so as to collect the optical phase change information on the optical fiber link corresponding to the instantaneous degradation of the optical signal, and send the optical phase change information to the main control module.

[0011] According to an optical transmission network device provided by the present invention, the line-level transmission module is further provided with an optical digital signal processor, which is used to receive optical signals; The line-level transmission module is also used to report the optical signal degradation information to the main control module in the event of instantaneous degradation of the optical signal.

[0012] According to an optical transport network device provided by the present invention, the service-level transmission module is used to convert the customer service signal of the customer-side device into an optical transport network frame format when the customer-side device is accessed, so as to transmit it in the optical transport network network of the optical transport network device. The service-level transmission module is also used to monitor the signal quality of the customer service signal in real time, and to issue an alarm when it detects that the signal quality of the customer service signal is abnormal.

[0013] According to an optical transport network device provided by the present invention, the line-level transmission module is used to convert the electrical signal in the optical transport network frame format of the optical transport network device into an optical signal, and send the optical signal to an external device for processing by the external device; The line-level transmission module is also used to monitor the signal quality of the optical signal in real time and to issue an alarm when the signal quality of the optical signal is found to be abnormal.

[0014] According to an optical transmission network device provided by the present invention, the line-level transmission module is specifically used to amplify the optical signal in the case of long-distance transmission, and send the amplified optical signal to an external device for processing by the external device; The line-level transmission module supports multiple line protection mechanisms for switching lines in the event of a fault in the currently used line.

[0015] According to an optical transmission network device provided by the present invention, the main control module is provided with an internal communication interface and an external communication interface; The main control module is specifically used to obtain the operating status data of the transmission module through the internal communication interface, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module through the internal communication interface. The main control module is further configured to receive the task processing results through the internal communication interface and report the task processing results to the network management system through the external communication interface, so that the network management system can make management decisions.

[0016] The present invention also provides an optical transport network system, including a network management and control system and an optical transport network device, wherein the optical transport network device includes a main control module, an intelligent processing module and a transmission module; The main control module is used to acquire the operating status data of the transmission module, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module. The intelligent processing module is used to receive the task processing request, analyze and process the running status data based on the task processing request, obtain the task processing result, and send the task processing result to the main control module. The main control module is also used to receive the task processing results, make local task decisions based on the task processing results, and report the task processing results to the network management system for the network management system to make management decisions.

[0017] The optical transport network equipment and system provided by this invention integrates a main control module, an intelligent processing module, and a transmission module within the equipment. Through the interaction between these modules, the data analysis and decision-making capabilities, traditionally performed by remote network management and control systems, are decentralized to the network element itself. This allows for the processing of massive amounts of rapidly changing operational status data locally, significantly improving the real-time performance of network element-aware data processing and avoiding the high latency issues associated with data reporting to the management and control system in traditional solutions. This enables network elements to perform local real-time optimization. Furthermore, because the intelligent analysis of operational status data is performed locally, the main control module only needs to report the analysis results when making decisions, without transmitting massive amounts of operational status data. This significantly reduces the bandwidth requirements of network elements for information reporting on the management and control channel, alleviating the processing pressure on the network management and control system and ultimately improving the management and control efficiency and reliability of the entire optical transport network. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the structure of the optical transmission network equipment provided by the present invention; Figure 2 This is a schematic diagram of the network element configuration optimization process provided by the present invention; Figure 3 This is an application diagram of the optical transmission network equipment provided by the present invention; Figure 4 This is a flowchart illustrating the fault classification process provided by the present invention; Figure 5 This is a flowchart illustrating the fault location process provided by the present invention; Figure 6 This is a schematic diagram of the optical transport network system provided by the present invention; Figure label: 110: Transmission module; 120: Main control module; 130: Intelligent processing module; 111: Service-level transmission module; 112: Line-level transmission module. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] In today's era of rapid digital transformation, the importance of communication networks as key infrastructure for information transmission is self-evident. Optical transport networks, as a core component of communication networks, bear the heavy responsibility of transmitting massive amounts of data and are the fundamental support for ensuring the stable and efficient operation of various services.

[0022] With the rapid development of cutting-edge technologies such as 5G-A (5G-Advanced) / 6G (6-Generation), artificial intelligence, and cloud computing, communication services are experiencing explosive growth, placing higher demands on data transmission bandwidth, speed, and reliability. This has led to a dramatic increase in the traffic carried by optical transport networks. Against this backdrop, traditional optical transport networks have gradually exposed numerous problems and challenges in management and operation. For example, facing increasingly complex network environments and diversified service demands, the efficiency and capabilities of traditional OTN in fault handling, performance optimization, and resource scheduling are no longer sufficient to meet actual needs, severely restricting the further development of communication networks.

[0023] With the continuous evolution of intelligent capabilities in optical transport networks, such as the integration of sensing and communication, network elements possess increasingly diverse sensing methods, enabling the collection of more comprehensive and detailed equipment status information. However, this also places more stringent demands on the data analysis and decision-making capabilities of optical transport networks, requiring faster and more accurate processing capabilities to achieve real-time analysis and intelligent decision-making from massive amounts of sensing data. Currently, optical transport network equipment mainly consists of a main control module and various service modules, lacking intelligent computing capabilities and massive data processing capabilities. Faced with complex and ever-changing network environments and rapidly increasing data volumes, the existing network element structure struggles to meet the demands of real-time intelligent analysis and decision-making, failing to fully leverage the advantages of intelligent technologies and limiting further performance improvements in optical transport networks.

[0024] In response, this invention provides an optical transport network device that integrates an intelligent processing module to endow the optical transport network device with intelligent computing and real-time processing capabilities for massive amounts of data. This enables real-time intelligent optimization of optical transport network elements and improves the real-time performance of data processing, thereby enhancing the reliability and management efficiency of the optical transport network.

[0025] Figure 1 This is a schematic diagram of the structure of the optical transmission network equipment provided by the present invention, as shown below. Figure 1 As shown, the device includes a transmission module 110, a main control module 120, and an intelligent processing module 130; The main control module is used to acquire the operating status data of the transmission module, generate task processing requests based on the operating status data, and distribute the task processing requests to the intelligent processing module. The intelligent processing module is used to receive task processing requests, analyze and process the running status data based on the task processing requests, obtain task processing results, and send the task processing results to the main control module. The main control module is also used to receive task processing results and make task decisions based on the results.

[0026] Specifically, considering that the intelligent capabilities of current optical transport networks are typically concentrated in the network management and control system, this architecture requires the network management and control system to collect massive amounts of state parameters from various network elements across a large-scale network. However, limited by the bandwidth of the control channel and the processing capacity of the network management and control system, this centralized processing method struggles to perceive rapid changes in internal parameters of network elements in real time and accurately. This leads to delays in network element configuration optimization and state parameter processing, impacting network reliability and efficiency. Furthermore, with the evolution of new technologies such as integrated sensing, network elements will possess richer sensing capabilities, generating even larger amounts of data. This places higher demands on the network's real-time analysis and decision-making capabilities. Currently, OTN equipment typically consists of a main control module and various services, lacking inherently powerful intelligent computing and massive data processing capabilities.

[0027] In view of this, this embodiment of the invention proposes to integrate an intelligent processing module inside the OTN device to endow the OTN device with intelligent processing capabilities, thereby solving the current problems of massive data processing, insufficient real-time network element optimization decision-making, and high pressure on control channel bandwidth.

[0028] In detail, in this embodiment of the invention, the optical transport network device (OTN device) can be a network element device in an OTN network, such as an optical cross-connect device or a wavelength division multiplexing device. The OTN device includes a main control module, an intelligent processing module, and a transmission module. It can also be understood that the main control module, the intelligent processing module, and the transmission module are all located inside the same OTN device, thus forming a whole with local intelligent processing capabilities.

[0029] It should be noted here that the transmission module may include a service-level transmission module, a line-level transmission module, or both. The service-level transmission module is primarily responsible for the access, mapping, and scheduling of customer-side service signals, such as adapting and encapsulating customer service signals like Ethernet and Synchronous Digital Hierarchy (SDH) into the OTN frame structure. The line-level transmission module is primarily responsible for the transmission and reception of OTN signals on the line side, such as performing functions like electrical-to-optical signal conversion, optical signal amplification, optical signal regeneration, and optical-to-electrical signal conversion.

[0030] Specifically, in this embodiment of the invention, the transmission module can be a single board that integrates service processing and line transmission functions, or it can be a combination of multiple physical modules such as service-level transmission modules and line-level transmission modules within the device, or it can be a single service-level transmission module or a single line-level transmission module. This embodiment of the invention does not make any specific limitations on this.

[0031] The main control module is the core of management and control for the OTN device. It can acquire the operational status data of the transmission modules in various ways. For example, the main control module can actively query the operational status data of each transmission module through the device's internal backplane bus or control channel in a polling manner; alternatively, the transmission modules can actively report their operational status data to the main control module when their status undergoes a specific change (e.g., a parameter exceeds a preset threshold); or, the operational status data of the transmission modules can be acquired through other methods, which are not specifically limited in this embodiment of the invention.

[0032] Here, operational status data is a collection of various parameters characterizing the working status of the transmission module. This can include physical layer parameters such as the optical module's received / transmitted optical power, optical signal-to-noise ratio, bit error rate, dispersion, optical amplifier gain coefficient, optical time-domain reflectometer sensing parameters, noise figure, temperature, voltage, and current, as well as service-level data such as traffic statistics and packet loss rate. Operational status data comprehensively reflects the health status and performance of the transmission module and even the optical link it carries.

[0033] After acquiring the operational status data, the main control module can generate task processing requests based on this data. These requests contain operational status data and a task type identifier, which can be for tasks such as fault diagnosis, performance prediction, or network element status analysis. Specifically, the main control module can first perform a threshold check; if it detects an abnormally high bit error rate in a certain operational status data point, it will generate a task processing request with the task type identifier "fault analysis." Alternatively, the main control module can periodically generate task processing requests with task type identifiers such as "network element status analysis" or "performance prediction" based on a preset maintenance strategy, thereby achieving continuous monitoring and proactive maintenance of the network status.

[0034] After generating a task processing request, the main control module sends the request to the intelligent processing module for processing. The intelligent processing module receives the request, analyzes and processes it to obtain the task processing result, and finally returns the result to the main control module.

[0035] Here, the intelligent processing module is the built-in intelligent processing center of the OTN device. It can integrate high-performance computing units, such as a central processing unit, a graphics processing unit, a network processor, and a dedicated AI (Artificial Intelligence) chip, and is pre-installed with various AI algorithms and machine learning models. When the intelligent processing module receives a task processing request distributed by the main control module, it will call the corresponding AI algorithms and machine learning models for analysis and processing based on the task type identifier in the task processing request.

[0036] For example, if the task type is identified as fault diagnosis, a pre-trained fault diagnosis model can be called to analyze the input operating status data such as optical power and bit error rate, thereby obtaining fault diagnosis results, such as fault type and fault location.

[0037] For example, if the task type is identified as performance prediction, a time series prediction model can be invoked to predict the trend of changes in operating status data, such as optical signal-to-noise ratio, over a future period based on operating status data and historical data.

[0038] For example, if the task type is identified as network element status analysis, a pre-trained status analysis model can be called to analyze the running status data to determine the status of the network element, thereby obtaining the network element status analysis result.

[0039] After the analysis is completed, the intelligent processing module can send the task processing results back to the main control module through the internal communication interface so that the main control module is aware of the task processing results.

[0040] Furthermore, once the main control module receives the task processing result returned by the intelligent processing module, it can make task decisions based on the task processing result. The task decision is the closed-loop control action taken based on the task processing result.

[0041] For example, if the task processing result is the network element status analysis result, the task decision may be to generate the corresponding network element configuration optimization scheme and optimize the network element configuration based on this scheme.

[0042] For example, if the task processing result is a fault diagnosis result, such as the fiber optic link deteriorating, the task decision may be to immediately initiate line protection switching and control the line-level transmission module to switch the service to the backup link, or it may be to report the task processing result to the network management system to request the network management system to make global decisions and schedule.

[0043] The optical transport network equipment provided by this invention integrates a main control module, an intelligent processing module, and a transmission module. Through the interaction between these modules, the data analysis and decision-making capabilities, traditionally performed by remote network management systems, are decentralized to the network element itself. This allows for the processing of massive amounts of rapidly changing operational status data locally, significantly improving the real-time performance of network element-aware data processing and avoiding the high latency issues associated with data reporting to the management system in traditional solutions. This enables network elements to perform local real-time optimization. Furthermore, because the intelligent analysis of operational status data is performed locally, the main control module only needs to report the analysis results when making decisions, without transmitting massive amounts of operational status data. This significantly reduces the bandwidth requirements of network elements for information reporting on the management channel, alleviating the processing pressure on the network management system and ultimately improving the management efficiency and reliability of the entire optical transport network.

[0044] Based on the above embodiments, the operational status data includes signal transmission status data; the task processing request is a network element analysis request. The intelligent processing module is specifically used to call the state analysis model corresponding to the network element analysis request, perform network element state analysis on the signal transmission state data, obtain the network element state analysis results, and send the network element state analysis results to the main control module; The main control module is specifically used to generate network element configuration optimization strategies based on the network element status analysis results, and to optimize the parameters of the transmission module based on the network element configuration optimization strategies.

[0045] Specifically, Figure 2 This is a schematic diagram of the network element configuration optimization process provided by the present invention, as shown below. Figure 2 As shown, when optimizing network element configuration, operational status data can include signal transmission status data. This signal transmission status data directly reflects the quality and performance of the optical signal in the transmission link, and can include optical power, bit error rate, optical amplifier gain coefficient, and sensing parameters of the optical time-domain reflectometer. Optical power characterizes the signal strength and can be used to determine link attenuation and whether the equipment is operating normally; the bit error rate directly measures the accuracy of signal transmission and can be used to evaluate service quality.

[0046] The main control module can generate a task processing request, i.e., a network element analysis request, based on this signal transmission status data. The purpose of this request is not only to determine whether there is a fault, but also to deeply analyze the current operating status of the network element and explore potential performance optimization opportunities. For example, the main control module periodically acquires signal transmission status data, such as optical power and bit error rate data, or when it detects non-fault-related fluctuations in signal transmission status data, it encapsulates a network element analysis request containing this latest data and sends it to the intelligent processing module.

[0047] The intelligent processing module can receive this network element analysis request and call the corresponding state analysis model according to the request. Based on this model, it performs network element state analysis on the signal transmission state data, obtains the network element state analysis results, and feeds back the network element state analysis results to the main control module.

[0048] Here, the state analysis model is one or more AI algorithms or machine learning models pre-built into the intelligent processing module. This model can be pre-trained using a large amount of historical operational state data and simulation data, enabling it to understand the complex relationship between signal transmission state and actual network performance. For example, one model could be specifically designed to analyze the performance margin of an optical link at current optical power and bit error rate levels; another model could be used to predict the potential trend of bit error rate changes after adjusting a certain parameter, such as transmit power.

[0049] When the intelligent processing module receives a network element analysis request, it uses the signal transmission status data carried in the request as input to the status analysis model. The model then performs inference calculations and finally outputs the network element status analysis result. This result is derived from a deep analysis of the signal transmission status data. For example, it could indicate that "the current link's optical signal-to-noise ratio margin is greater than 3dB, meeting the transmission requirements of higher-order modulation formats," or "the current bit error rate is in a stable range, but the received optical power is low, indicating a potential risk of degradation."

[0050] After completing the network element status analysis, the main control module can receive the network element status analysis results fed back by the intelligent processing module, and can generate network element configuration optimization strategies based on these results. Based on the network element configuration optimization strategies, the transmission module parameters can be optimized.

[0051] Specifically, the main control module has a built-in decision logic rule base. According to the decision logic in this rule base, it can generate corresponding network element configuration optimization strategies based on the network element status analysis results. Furthermore, the main control module can generate configuration instructions based on this network element configuration optimization strategy and send them to the transmission module so that the transmission module can optimize parameters accordingly.

[0052] In this embodiment of the invention, through the network element status analysis of the intelligent processing module and the task decision of the main control module, real-time network element configuration optimization is realized within the optical transport network equipment. This enables the OTN equipment to quickly adjust its own operating parameters according to the real-time changes in the optical network environment to achieve the optimal operating state without waiting for the intervention of the remote network management system, which greatly improves the intelligence level and environmental adaptability of the optical transport network.

[0053] Based on the above embodiments, the operational status data includes business operational status parameters; the task processing request is a fault diagnosis request. The intelligent processing module is specifically used to call the fault diagnosis model corresponding to the fault diagnosis request, perform fault diagnosis on the business operation status parameters, obtain the fault diagnosis result, and send the fault diagnosis result to the main control module. The main control module is specifically used to report the fault diagnosis results to the network management system for management and control decisions.

[0054] Specifically, the operational status data may include service operational status parameters, which are parameters that directly or indirectly reflect whether the service carried on the optical path is operating normally. These parameters may be the received optical power, optical signal-to-noise ratio, bit error rate, gain coefficient of optical amplifier, etc. of a specific service channel; or they may be status indicators, such as alarm indicators, connection loss alarms, frame loss alarms, etc.

[0055] When the main control module detects an anomaly in the service operation status parameters, such as a sudden drop in received optical power from its normal value to below the no-light alarm threshold, the main control module will determine that a fault may have occurred and immediately generate a task processing request, i.e., a fault diagnosis request. This request encapsulates one or more abnormal service operation status parameters that triggered it and sends them to the intelligent processing module to request the intelligent processing module to diagnose the potential fault.

[0056] The intelligent processing module can receive this fault diagnosis request and call the fault diagnosis model corresponding to this fault diagnosis request to perform fault diagnosis on the business operation status parameters, thereby obtaining the fault diagnosis result, and can feed this fault diagnosis result back to the main control module.

[0057] Here, the fault diagnosis model is one or more AI algorithms or machine learning models pre-installed in the intelligent processing module. This model can learn and train using massive amounts of historical fault data (including service operation status parameters under various fault scenarios), enabling it to accurately identify the root causes of faults corresponding to different parameter combinations. For example, the model can distinguish whether a sharp drop in received optical power is caused by fiber optic interruption or by a power outage at the peer device or a failure of the local optical module.

[0058] Specifically, when the intelligent processing module receives a fault diagnosis request, it loads the corresponding fault diagnosis model based on the request and uses the service operation status parameters carried in the request as input to the model. Through inference and analysis by the model, the final fault diagnosis result can be obtained. This fault diagnosis result can include fault type, fault location, etc., such as "fault type is fiber optic interruption, and the interruption point is located 100 meters from the optical transmission network equipment on the fiber optic link," or "fault type is remote equipment power failure," etc.

[0059] After the intelligent processing module completes the fault diagnosis, the main control module can receive the fault diagnosis results fed back by the intelligent processing module and report these results to the network management system for management and control decisions.

[0060] Specifically, after receiving the fault diagnosis results from the intelligent processing module, which are derived through local intelligent analysis, the main control module encapsulates the diagnosis results into a standard management protocol message through its external communication interface, such as the management network port, and reports it to the upper-level network management and control system. The network management and control system is the central platform responsible for the centralized monitoring, management, and maintenance of the entire optical transport network. Upon receiving the reported fault diagnosis results, it can take corresponding management measures and maintenance actions based on these results. For example, upon receiving a fault diagnosis result indicating a fiber optic cable interruption, it can immediately mark that link segment as interrupted on the network topology map, thereby automatically triggering network-level service rerouting or protection switching, and generating a maintenance work order to dispatch maintenance personnel to the fault location for emergency repairs.

[0061] In this embodiment of the invention, intelligent fault diagnosis is achieved within the optical transport network equipment through root cause analysis by the intelligent processing module and reporting of diagnostic results by the main control module. This allows complex fault diagnosis tasks to be completed locally on the device closest to the fault source, significantly shortening diagnosis time and improving accuracy. Simultaneously, it provides the upper-layer network management system with directly usable decision-making information, rather than massive amounts of raw data, thereby reducing the analytical burden on the network management system, improving network operation and maintenance efficiency, and ultimately enabling faster service recovery and minimizing losses caused by faults.

[0062] Based on the above embodiments, the transmission module includes a service-level transmission module 111; the fault diagnosis request includes a fault classification request, and the fault diagnosis result includes a fault classification result; The intelligent processing module is specifically used to call the fault classification model in the fault diagnosis model, classify the business operation status parameters for faults, obtain the fault classification results, and send the fault classification results to the main control module. The main control module is specifically used to report the fault classification results to the network management system for management and control decisions.

[0063] Specifically, Figure 3 This is an application diagram of the optical transport network equipment provided by the present invention, such as... Figure 3As shown, there are two fiber optic links between optical transport network equipment 1 and optical transport network equipment 2, and one fiber optic link between CPE (Customer Premise Equipment) and optical transport network equipment 2. The network management system configures a service route from CPE through optical transport network equipment 2 to optical transport network equipment 1. Fiber optic link 1 is used between optical transport network equipment 2 and optical transport network equipment 1. Specifically, when classifying faults, the transmission module can include a service-level transmission module. A typical function of a service-level transmission module is to process customer service signals from the customer-side equipment. For example, the service-level transmission module in optical transport network equipment 2 is responsible for accessing customer service signals from the CPE and carrying them onto the optical transport network.

[0064] In this scenario, service operation status parameters may include received optical power, optical signal-to-noise ratio, bit error rate, and gain coefficient of the optical amplifier. Among these, received optical power is the optical signal strength measured by the optical module in the service-level transmission module used to receive customer service signals from the CPE. This parameter is used to determine the customer's access to the fiber optic link (e.g., ...). Figure 3 One of the most direct and sensitive indicators of the status of fiber optic links (3) in the network.

[0065] When the service's operating status parameters change abnormally, for example, when the received optical power suddenly drops from a stable value to an extremely low value, the main control module will generate a fault classification request based on these service operating status parameters. The purpose of this request is not only to determine if there is a fault, but also to determine the type of fault.

[0066] Correspondingly, the intelligent processing module can receive the fault classification request sent by the main control module, and can call a specific sub-model in the fault diagnosis model, namely the fault classification model, according to the request, to classify the faults of the business operation status parameters, obtain the fault classification result, and feed this fault classification result back to the main control module.

[0067] Here, the fault classification model is a specially trained AI algorithm or machine learning model. This model learns the characteristic curves of how service operation status parameters change over time under different fault scenarios. For example, a fiber optic interruption might manifest as a sudden drop in optical power, a precipitous fall to zero, a detached or contaminated fiber optic connector might manifest as severe fluctuations or slow degradation of optical power, while a power outage of the remote CPE might manifest as a complete loss of optical power. Upon receiving a fault classification request, the intelligent processing module uses the service operation status parameters (which can be a series of time-series data or instantaneous values ​​before and after changes) carried in the request as input to the fault classification model. It performs pattern matching and inference to output the fault classification result. This fault classification result can be a specific fault type, such as a fiber optic interruption or a power outage of the remote equipment.

[0068] The main control module can receive the fault classification results fed back by the intelligent processing module and report these results to the network management system for management and control decisions.

[0069] Figure 4 This is a flowchart illustrating the fault classification process provided by the present invention, as shown below. Figure 4 As shown, to more clearly illustrate the fault classification process in the embodiments of the present invention, the fault classification process will be explained below with reference to specific data: In the process, the optical module integrated in the service-level transmission module of the optical transport network equipment 2 monitors and collects the received optical power of the optical signal from the optical fiber link 3 in real time.

[0070] In this process, when fiber optic link 3 is interrupted due to external factors (such as being severed during construction), the received optical power monitored by the service-level transmission module will drop momentarily. At this time, the service-level transmission module will synchronize this abnormal received optical power data to the main control module within the OTN device.

[0071] The main control module immediately generates a fault classification request based on the abnormal optical power data and distributes the fault classification request to the intelligent processing module in the OTN device.

[0072] In this step, the intelligent processing module can call its internally preset fault classification model to analyze the received optical power, and output the fault classification result after reasoning. For example, if the fault type is fiber optic interruption, the fault classification result will be fed back to the main control module.

[0073] In this step, the main control module can report the fault classification results obtained from the analysis, i.e., fiber optic interruption, to the network management system via the southbound interface. Based on this, the network management system can directly generate a dispatch order, instructing maintenance personnel to bring fiber optic fusion splicing equipment to the customer's side for emergency repair, without the need for complex remote analysis, thus greatly improving the efficiency and accuracy of fault handling.

[0074] In this embodiment of the invention, the local intelligent processing module is used for accurate fault classification, which enables rapid and accurate root cause location of customer-side access link faults. This avoids the problem of low efficiency caused by traditional operation and maintenance personnel having to go to the site to check each segment, and greatly shortens the service recovery time.

[0075] Based on the above embodiments, the transmission module includes a line-level transmission module 112; the fault diagnosis request includes a fault location request, and the fault diagnosis result includes a fault location result. The intelligent processing module is specifically used to call the fault location model in the fault diagnosis model, locate the fault in the business operation status parameters, obtain the fault location result, and send the fault location result to the main control module. The main control module is specifically used to report the fault location results to the network management system for management and control decisions.

[0076] Specifically, see Figure 3 It is known that optical transport network device 1 and optical transport network device 2 are connected via optical fiber link 1 and optical fiber link 2, and the transmission module includes a line-level transmission module. This line-level transmission module is mainly responsible for long-distance optical signal transmission between devices. For example, the line-level transmission module of optical transport network device 1 is responsible for receiving optical signals sent from optical transport network device 2 through optical fiber link 1.

[0077] When soft faults occur in an OTN network, such as fiber optic aging or slight connector degradation causing a momentary drop in signal quality, these faults may not immediately lead to service interruption or generate hard alarms, but they will cause abnormal service operation status parameters, such as optical phase change information. At this time, the main control module will generate a fault diagnosis request, i.e., a fault location request.

[0078] The intelligent processing module can receive this fault location request and call a specific sub-model in the fault diagnosis model, namely the fault location model, to locate the fault in the business operation status parameters, obtain the fault location result, and feed the fault location result back to the main control module.

[0079] Here, the fault location model is an AI model built upon complex algorithms, such as phase correlation analysis and machine learning regression algorithms. This model is trained to analyze the mapping relationship between operational status parameters and the physical location of the fault. Because such calculations are typically very complex and involve large amounts of data, the intelligent processing module can utilize its integrated high-performance computing resources, such as graphics processing units (GPUs), to perform real-time, large-scale data processing.

[0080] When the intelligent processing module receives a fault location request, it loads the corresponding fault location model based on the request and uses the service operation status data carried in the request as input to the fault location model for high-speed calculation and analysis. This allows for precise calculation of the fault's exact location, yielding the fault location result. This fault location result is a precise location description including distance information. For example, it could be "The fault location is 100 meters from the OTN device (optical transport network device 1) on fiber optic link 1."

[0081] The main control module can receive the fault location result fed back by the intelligent processing module and report the fault location result to the network management system for management and control decisions.

[0082] Figure 5 This is a flowchart illustrating the fault location process provided by the present invention, as shown below. Figure 5As shown, in order to more clearly illustrate the fault location process in the embodiments of the present invention, the fault location process will be described below with reference to specific data: In the following steps, the line-level transmission module of optical transport network equipment 1, such as its oDSP (Optical Digital Signal Processor), normally receives the optical signal sent from optical transport network equipment 2 through optical fiber link 1.

[0083] When the optical signal-to-noise ratio of fiber optic link 1 deteriorates instantaneously due to aging or external environmental influences, the line-level transmission module will sense this event and synchronize it to the main control module in the OTN device.

[0084] The main control module determines that this is a fault scenario that requires precise location, so it sends a command to the line-level transmission module to activate its integrated OTDR (optical time-domain reflectometer) and other sensors to start collecting optical phase change information on fiber optic link 1 and synchronize the collected optical phase change information to the main control module.

[0085] In this step, the main control module generates a fault location request, encapsulates the collected optical phase change information as fault perception data in the request, and distributes it to the intelligent processing module in the OTN device.

[0086] The intelligent processing module invokes its fault location model and utilizes its built-in computing resources to analyze the optical phase change information, ultimately determining the fault location, for example, "the fault location is 115.3 kilometers away from the equipment." The intelligent processing module then sends this result back to the main control module.

[0087] The main control module reports this precise fault location result to the network management system via the southbound interface. Based on this, the network management system can directly mark the physical location of the fault on the geographic information system and generate a maintenance work order containing precise distance information, thereby guiding maintenance personnel to go directly to the target location for troubleshooting and repair.

[0088] In this embodiment of the invention, the powerful computing capabilities of the local intelligent processing module are used for fault location, which achieves high-precision and rapid fault location, greatly improves the ability to handle soft faults such as fiber optic aging and line micro-disturbances, significantly shortens the fault diagnosis time, and ensures the long-term operational reliability of the optical transmission network.

[0089] Based on the above embodiments, the service operation status parameters include optical phase change information of the line-level transmission module; The main control module is also used to receive optical signal degradation information reported by the line-level transmission module, and when the optical signal degradation information indicates that the optical signal has instantaneously degraded, it generates a control start command and sends it to the line-level transmission module. The line-level transmission module is used to receive control start commands and, based on the control start commands, control the built-in optical time domain reflectometer to start, so as to collect optical phase change information on the optical fiber link corresponding to the instantaneous degradation of the optical signal, and send the optical phase change information to the main control module.

[0090] Specifically, the operational status parameters can include optical phase change information from the line-level transmission module. Unlike parameters such as optical power, optical phase change information is a more refined and sensitive physical quantity, reflecting minute changes in the optical signal as it propagates in the optical fiber due to external disturbances or aging of the fiber's own materials.

[0091] Before fault localization, the main control module can also receive optical signal degradation information reported by the line-level transmission module. Optical signal degradation information can be understood as a preliminary, summary alarm or status indication, indicating that the quality of the optical signal has deteriorated, but may not yet be severe enough to trigger service interruption, nor provide enough information for precise fault localization. For example, if the oDSP in the line-level transmission module detects that the optical signal-to-noise ratio drops by more than a preset threshold, such as 2dB, within a short period of time, or if the bit error rate of forward error correction suddenly surges, these can all be considered as optical signal degradation information.

[0092] Furthermore, the main control module generates a control start command and sends it to the line-level transmission module. Here, the line-level transmission module synchronizes this information to the main control module when it detects a momentary degradation in the optical signal-to-noise ratio due to fiber optic link aging or external environmental influences. Therefore, upon receiving this information, the main control module can assume that a momentary degradation in the optical signal has occurred and can directly generate a control start command and send it to the line-level transmission module. This control start command can be used to activate sensing functions in the line-level transmission module used for precise positioning, such as the sensing function of an optical time-domain reflectometer.

[0093] Accordingly, the line-level transmission module can receive a control start command and, based on the command, activate its built-in optical time-domain reflectometer (OTDR) to collect optical phase change information on the fiber optic link corresponding to a momentary degradation of the optical signal, and then send this information to the main control module. Specifically, to achieve high-precision fault location, the line-level transmission module can integrate or have an ODR built-in unit. This unit can detect minute disturbances along the fiber optic line with extremely high sensitivity by injecting probe light pulses into the fiber and analyzing the characteristics of the backscattered light (especially the phase characteristics).

[0094] Under normal operating conditions, to conserve power and computing resources, the built-in optical time-domain reflectometer can be in sleep or standby mode. It will only be activated when the line-level transmission module receives a control start command from the main control module, and will immediately perform a high-precision phase sensing scan on the fiber optic link that has experienced transient degradation, in order to collect optical phase change information distributed along the fiber optic link in relation to the degradation event.

[0095] After data acquisition, the line-level transmission module sends this optical phase change information to the main control module. At this point, the main control module obtains the service operation status parameters used for precise positioning, namely the optical phase change information. It can then generate a fault location request based on this information and distribute it to the intelligent processing module for fault location.

[0096] Based on the above embodiments, the line-level transmission module is further provided with an optical digital signal processor, which is used to receive optical signals. The line-level transmission module is also used to report optical signal degradation information to the main control module in the event of instantaneous degradation of the optical signal.

[0097] Specifically, in addition to an optical time-domain reflectometer, the line-level transmission module also includes an oDSP. This oDSP can receive optical signals from the fiber optic link, such as... Figure 3 In the optical transport network device 1, the oDSP in the line-level transmission module can receive the optical signals sent by the optical transport network device 2 through the optical fiber link 1.

[0098] It should be noted here that, in this embodiment of the invention, an important function of the oDSP is to receive optical signals and monitor various performance indicators of the optical signals in real time. For example, the algorithm inside the oDSP can calculate the optical signal-to-noise ratio, bit error rate, etc. of the received optical signals in real time, especially the bit error rate and Q factor before forward error correction decoding.

[0099] Correspondingly, the line-level transmission module can report optical signal degradation information to the main control module upon sensing a momentary degradation in the optical signal. This sensing process is performed by the oDSP on the line-level transmission module. The oDSP continuously monitors the various performance indicators it calculates. The line-level transmission module can be pre-configured with a series of degradation judgment thresholds. For example, a threshold for a rapid decrease in optical signal-to-noise ratio or a threshold for a sudden increase in bit error rate can be set.

[0100] When the oDSP detects a performance indicator, such as the optical signal-to-noise ratio (OSN), that meets a preset instantaneous degradation condition (e.g., the OSN drops by more than 2 dB within 500 milliseconds and then recovers rapidly), it generates optical signal degradation information. This information can include the type of degradation indicator, the magnitude of the change, and the time of occurrence. Subsequently, the line-level transmission module reports this optical signal degradation information to the main control module, which can then use this information to locate the fault.

[0101] Based on the above embodiments, the service-level transmission module is used to convert the customer service signal of the customer-side device into an optical transport frame format when the customer-side device is accessed, so as to transmit it in the optical transport network of the optical transport network device. The service-level transmission module is also used to monitor the signal quality of customer service signals in real time and to issue an alarm when abnormal signal quality of customer service signals is detected.

[0102] Specifically, the service-level transmission module is the client-facing interface module in an optical transport network (OTN) device. In a typical application scenario, where client-side devices are connected, the service-level transmission module can convert client service signals from the client-side devices into standard optical transport frame formats through OTN service mapping and multiplexing mechanisms. This facilitates unified and efficient transmission within the OTN network to which the OTN device belongs.

[0103] Here, customer service signals can be diverse, such as Ethernet signals, Synchronous Digital Hierarchy (SDH) signals, and Fibre Channel (FCH) signals. The service-level transmission module performs corresponding adaptation and mapping operations based on the type of customer service being accessed. For example, according to the OTN mapping and multiplexing specifications, it maps Ethernet data to the Optical Path Data Unit (OPD) container, ultimately forming an OTN frame format signal. This ensures that different types of customer services can be transparently carried and transmitted by the OTN network.

[0104] To ensure service reliability, the service-level transmission module can also monitor the signal quality of customer service signals in real time. This real-time monitoring means that the service-level transmission module continuously monitors the performance indicators of customer service signals while processing them. This monitoring includes not only received optical power but also higher-level service quality parameters, such as the cyclic redundancy check error count and packet loss rate of the customer-side Ethernet link.

[0105] Furthermore, when the service-level transmission module detects that these signal quality indicators exceed the preset normal range, i.e., when signal quality anomalies occur, it will trigger its own alarm mechanism. This alarm can take several forms: one is hardware-level, such as illuminating the alarm indicator light on the service-level transmission module's panel to provide a direct warning to on-site maintenance personnel; the other is software-level, i.e., generating an alarm event record and storing it in a local log, or having it retrieved by the main control module as a service operation status parameter. For example, when the service-level transmission module generates an alarm regarding customer-side signal quality, the main control module can capture this alarm event and, in conjunction with other parameters such as received optical power triggering a fault classification request, hand it over to the intelligent processing module for in-depth analysis.

[0106] Based on the above embodiments, the line-level transmission module is used to convert the electrical signals in the optical transport network frame format of the optical transport network equipment into optical signals, and send the optical signals to external devices for processing. The line-level transmission module is also used to monitor the signal quality of the optical signal in real time and to issue an alarm when the signal quality of the optical signal is found to be abnormal.

[0107] Specifically, the line-level transmission module is the interface module in an optical transport network device that faces the line side, i.e., the long-distance optical fiber transmission link side. It can convert the electrical signals, which are already in the standard optical transport frame format within the optical transport network of the OTN device, into optical signals, and send the converted optical signals to external devices for processing.

[0108] The converted optical signal carries all the information of the OTN frame and is transmitted over long distances via fiber optic links. External equipment refers to another network element connected to the current OTN device (optical transport network device 1) in the optical transport network, such as... Figure 3 The optical transmission network equipment 2 in the middle. After receiving the optical signal, the external equipment will perform photoelectric conversion and signal processing.

[0109] Similarly, in order to ensure the stability and reliability of the transmission link, the line-level transmission module can also monitor the signal quality of the optical signal in real time. The real-time monitoring here is that the line-level transmission module uses its internal monitoring units, such as photodetectors, beam splitters, and oDSPs, to continuously check the key parameters of the optical signal, such as received optical power, transmitted optical power, optical signal-to-noise ratio, laser bias current, and laser temperature.

[0110] Furthermore, when the line-level transmission module detects that these signal quality parameters deviate from their normal operating range, i.e., when signal quality anomalies occur, it will trigger its own alarm mechanism. For example, when the line-level transmission module's oDSP detects that the temperature of the transmitting laser exceeds the alarm threshold, the line-level transmission module will issue an alarm. This alarm can also illuminate an alarm indicator light and generate an alarm event log.

[0111] Based on the above embodiments, the line-level transmission module is specifically used to amplify the optical signal in the case of long-distance transmission, and send the amplified optical signal to an external device for processing. The line-level transmission module supports multiple line protection mechanisms for switching lines in the event of a failure in the currently used line.

[0112] Specifically, in the process of transmitting optical signals to external devices, the line-level transmission module can amplify the optical signals to compensate for transmission losses in long-distance transmission scenarios; then, the amplified optical signals can be sent to the external devices.

[0113] In detail, optical signals attenuate during long-distance transmission in optical fibers due to the inherent losses of the fibers themselves. To compensate for this transmission loss and ensure that the signal reaches the receiving device with sufficient optical power, the optical signal needs to be amplified at the transmitting end or during transmission. In this embodiment of the invention, the line-level transmission module can integrate an optical amplifier, such as a semiconductor optical amplifier; after the line-level transmission module completes the electro-optical conversion and generates the optical signal, it first sends it to the optical amplifier for power enhancement before transmitting it through the optical fiber.

[0114] In addition, in order to cope with various possible failures of fiber optic links and improve network survivability and service availability, in this embodiment of the invention, the line-level transmission module can support multiple line protection mechanisms. When a failure occurs in the currently used line (such as an alarm from the line-level transmission module itself, or a decision command issued by the main control module based on the fault diagnosis results of the intelligent processing module), the line-level transmission module can perform a fast line switching action according to a preset protection protocol, such as an automatic protection switching protocol.

[0115] Among them, the line protection mechanism is a redundancy backup technology. The line-level transmission module can be configured to support one or more standard line protection schemes, such as 1+1 protection, ring network protection, etc.

[0116] Based on the above embodiments, the main control module is provided with an internal communication interface and an external communication interface; The main control module is specifically used to obtain the operating status data of the transmission module through the internal communication interface, generate task processing requests based on the operating status data, and distribute the task processing requests to the intelligent processing module through the internal communication interface. The main control module is also used to receive task processing results through an internal communication interface and report the task processing results to the network management system through an external communication interface for the network management system to make management decisions.

[0117] Specifically, in this embodiment of the invention, the main control module is provided with an internal communication interface and an external communication interface, which undertake different communication tasks.

[0118] The internal communication interface serves as the communication channel between the main control module and other modules within the optical transmission network equipment, such as the intelligent processing module and the transmission module. The internal communication interface can be implemented based on the device's internal backplane bus, such as a high-speed serial bus, or it can be the device's internal local area Ethernet; this embodiment of the invention does not specifically limit its implementation.

[0119] In detail, a series of internal interactive actions of the main control module can be completed through the internal communication interface. That is, the main control module can obtain the operating status data of the transmission module through the internal communication interface, and can generate task processing requests based on the operating status data, such as network element analysis requests, fault diagnosis requests, etc.; then, it can distribute this task processing request to the intelligent processing module through the internal communication interface.

[0120] External communication interfaces are the communication channels between the main control module and devices other than the optical transmission network equipment, such as network management systems. External communication interfaces are typically standard network interfaces, such as Ethernet ports or optical ports.

[0121] In detail, the interaction between the main control module and the upper-level network management system is completed through this external communication interface. That is, after the intelligent processing module completes the analysis, the main control module can first receive the task processing results through the internal communication interface; then, depending on the specific task, such as a fault diagnosis task, it reports the task processing results to the network management system through the external communication interface for the network management system to make management decisions. This completes the closed loop from local intelligent analysis of OTN devices to centralized management at the upper level.

[0122] In this embodiment of the invention, the internal and external interface design ensures that the high-speed data interaction used for real-time intelligent analysis inside the OTN device is isolated from and does not interfere with the external communication used for management and reporting. This not only ensures the real-time performance and efficiency of the local intelligent processing of the OTN device, but also ensures that the OTN device can stably and reliably access the upper-layer network management and control system.

[0123] The present invention also provides an optical transport network system. Figure 6 This is a schematic diagram of the optical transport network system provided by the present invention, as shown below. Figure 6 As shown, the system includes a network management and control system 610 and an optical transport network device 620. The optical transport network device includes a transmission module 621, a main control module 622, and an intelligent processing module 623. The main control module is used to acquire the operating status data of the transmission module, generate task processing requests based on the operating status data, and distribute the task processing requests to the intelligent processing module. The intelligent processing module is used to receive task processing requests, analyze and process the running status data based on the task processing requests, obtain task processing results, and send the task processing results to the main control module. The main control module is also used to receive task processing results, make local task decisions based on the task processing results, and report the task processing results to the network management system for management and control decisions.

[0124] Specifically, the network management and control system is the centralized management and operation center for the entire optical transport network. It can be an SDN-based controller or a traditional Network Management System (NMS), and this embodiment of the invention does not impose any specific limitations on it. Its main responsibilities include network topology management, service configuration and scheduling, performance monitoring, fault management, and executing macro-level operation and maintenance strategies.

[0125] Optical transport network equipment refers to equipment with local intelligent processing capabilities, which may include a main control module, an intelligent processing module, and a transmission module. A typical optical transport network system may include multiple such optical transport network devices, which together constitute the physical nodes of the optical transport network.

[0126] The main control module acquires the operating status data of the transmission module, generates task processing requests based on the operating status data, and distributes the task processing requests to the intelligent processing module. The intelligent processing module receives the task processing requests, analyzes and processes the operating status data based on the requests, obtains the task processing results, and sends the results back to the main control module. The main control module also receives the task processing results and makes task decisions based on them. The above processes have been described in detail in the foregoing embodiments and will not be repeated here.

[0127] However, it is worth noting that in this embodiment of the invention, task decision-making may include two levels: one is the closed-loop control of the device itself, such as directly optimizing the parameters of the transmission module; the other is processing the information that needs to be reported.

[0128] That is, in this embodiment of the invention, the main control module can make local task decisions based on the task processing results. In addition, it can also report the task processing results to the network management system. That is, the OTN device reports the task processing results, such as fault type, fault location, performance degradation warning, etc., obtained by the intelligent processing module through the external communication interface of its main control module to the network management system through the external communication interface of its main control module.

[0129] After receiving these reported information, the network management system will make management decisions. For example, based on the received fault location results, the network management system can automatically mark the fault location on an electronic map and trigger alarm notifications and work order systems.

[0130] The optical transport network system provided by this invention constructs a hierarchical and collaborative intelligent architecture consisting of a network management and control system and optical transport network devices with local intelligent processing capabilities. Under this architecture, a large number of real-time analysis tasks can be completed at the device end close to the data source, thereby greatly improving the network's response speed and processing efficiency to state changes. At the same time, the OTN devices no longer provide the management and control system with massive amounts of raw data, but rather analyzed decision information, significantly reducing the bandwidth pressure on the management and control channel and the computational load on the network management and control system.

[0131] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0132] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part 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, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0133] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An optical transmission network device, characterized in that, It includes a main control module, an intelligent processing module, and a transmission module: The main control module is used to acquire the operating status data of the transmission module, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module. The intelligent processing module is used to receive the task processing request, analyze and process the running status data based on the task processing request, obtain the task processing result, and send the task processing result to the main control module. The main control module is also used to receive the task processing results and make task decisions based on the task processing results.

2. The optical transmission network equipment according to claim 1, characterized in that, The operational status data includes signal transmission status data; the task processing request is a network element analysis request. The intelligent processing module is specifically used to call the state analysis model corresponding to the network element analysis request, perform network element state analysis on the signal transmission state data, obtain the network element state analysis result, and send the network element state analysis result to the main control module; The main control module is specifically used to generate a network element configuration optimization strategy based on the network element status analysis results, and to optimize the parameters of the transmission module based on the network element configuration optimization strategy.

3. The optical transmission network equipment according to claim 1, characterized in that, The operational status data includes business operational status parameters; the task processing request is a fault diagnosis request. The intelligent processing module is specifically used to call the fault diagnosis model corresponding to the fault diagnosis request, perform fault diagnosis on the business operation status parameters, obtain the fault diagnosis result, and send the fault diagnosis result to the main control module. The main control module is specifically used to report the fault diagnosis results to the network management system for the network management system to make management decisions.

4. The optical transmission network equipment according to claim 3, characterized in that, The transmission module includes a service-level transmission module; the fault diagnosis request includes a fault classification request, and the fault diagnosis result includes a fault classification result. The intelligent processing module is specifically used to call the fault classification model in the fault diagnosis model, classify the business operation status parameters for faults, obtain the fault classification result, and send the fault classification result to the main control module; The main control module is specifically used to report the fault classification results to the network management system for the network management system to make management decisions.

5. The optical transmission network equipment according to claim 3, characterized in that, The transmission module includes a line-level transmission module; the fault diagnosis request includes a fault location request, and the fault diagnosis result includes a fault location result. The intelligent processing module is specifically used to call the fault location model in the fault diagnosis model, locate the fault in the business operation status parameters, obtain the fault location result, and send the fault location result to the main control module. The main control module is specifically used to report the fault location results to the network management system for the network management system to make management decisions.

6. The optical transmission network equipment according to claim 5, characterized in that, The service operation status parameters include the optical phase change information of the line-level transmission module; The main control module is also used to receive optical signal degradation information reported by the line-level transmission module, and when the optical signal degradation information indicates that the optical signal has instantaneously degraded, generate a control start command and send it to the line-level transmission module. The line-level transmission module is used to receive the control start command and, based on the control start command, control the built-in optical time domain reflectometer to start, so as to collect the optical phase change information on the optical fiber link corresponding to the instantaneous degradation of the optical signal, and send the optical phase change information to the main control module.

7. The optical transmission network equipment according to claim 6, characterized in that, The line-level transmission module is also equipped with an optical digital signal processor, which is used to receive optical signals. The line-level transmission module is also used to report the optical signal degradation information to the main control module in the event of instantaneous degradation of the optical signal.

8. The optical transmission network equipment according to claim 4, characterized in that, The service-level transmission module is used to convert the customer service signal of the customer-side device into an optical transport frame format when the customer-side device is accessed, so as to transmit it in the optical transport network of the optical transport network device. The service-level transmission module is also used to monitor the signal quality of the customer service signal in real time, and to issue an alarm when it detects that the signal quality of the customer service signal is abnormal.

9. The optical transmission network equipment according to claim 5, characterized in that, The line-level transmission module is used to convert the electrical signals in the optical transport network frame format of the optical transport network equipment into optical signals, and send the optical signals to external devices for processing. The line-level transmission module is also used to monitor the signal quality of the optical signal in real time and to issue an alarm when the signal quality of the optical signal is found to be abnormal.

10. The optical transmission network equipment according to claim 9, characterized in that, The line-level transmission module is specifically used to amplify the optical signal in the case of long-distance transmission, and send the amplified optical signal to an external device for processing. The line-level transmission module supports multiple line protection mechanisms for switching lines in the event of a fault in the currently used line.

11. The optical transmission network equipment according to any one of claims 1 to 3, characterized in that, The main control module is equipped with an internal communication interface and an external communication interface; The main control module is specifically used to obtain the operating status data of the transmission module through the internal communication interface, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module through the internal communication interface. The main control module is further configured to receive the task processing results through the internal communication interface and report the task processing results to the network management system through the external communication interface, so that the network management system can make management decisions.

12. An optical transport network system, characterized in that, It includes a network management and control system and optical transport network equipment, wherein the optical transport network equipment includes a main control module, an intelligent processing module and a transmission module; The main control module is used to acquire the operating status data of the transmission module, generate a task processing request based on the operating status data, and distribute the task processing request to the intelligent processing module. The intelligent processing module is used to receive the task processing request, analyze and process the running status data based on the task processing request, obtain the task processing result, and send the task processing result to the main control module. The main control module is also used to receive the task processing results, make local task decisions based on the task processing results, and report the task processing results to the network management system for the network management system to make management decisions.

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