OTN operation and maintenance method and device and medium

Abstract

The invention provides an OTN operation and maintenance method and device and a medium, and relates to the technical field of networks. The method comprises the following steps: generating an AI control instruction comprising operation and maintenance operation information and operation and maintenance verification information; packaging operation and maintenance operation information and operation and maintenance verification information of the AI control instruction into a first OSC frame; and sending the first OSC frame to a real target network element node of OTN network operation and maintenance through an OSC channel, so that the real target network element node obtains operation and maintenance operation information and operation and maintenance verification information of the AI control instruction in the first OSC frame, executes operation and maintenance operation according to the operation and maintenance operation information, and obtains a verification result after the operation and maintenance operation according to the operation and maintenance verification information. According to the invention, the AI control instruction of the OSC frame structure is sent through the OSC channel, the AI control instruction does not share a channel with the user service data, the operation and maintenance operation information and the operation and maintenance verification information are carried in the AI control instruction, and the network operation and maintenance security is ensured by verifying the operation and maintenance operation in time.

Description

Technical Field

[0001] The present application relates at least to the field of network technology, and in particular to an OTN operation and maintenance method, device, and medium. Background Art

[0002] OTN operations often require extensive data processing and experience, making them technically well-suited for AI. However, OTN operations also require extremely high accuracy. Failures at the OTN layer can cause widespread network disruption. Artificial intelligence is inherently unstable, while OTN operations must ensure network security and stability. Furthermore, carrying OTN operations and maintenance instructions on service data transmission channels can also impact network stability. Summary of the Invention

[0003] In response to the above-mentioned shortcomings, this application provides an OTN operation and maintenance method, device and medium to solve the following technical problems: how to improve the security of operation and maintenance instructions generated by artificial intelligence and the stability of instruction transmission.

[0004] In a first aspect, the present application provides an OTN operation and maintenance method, which is applied to a management terminal device for OTN network operation and maintenance, and includes:

[0005] Generate AI control instructions including operation and maintenance information and operation and maintenance verification information;

[0006] Encapsulate the operation and maintenance information and operation and maintenance verification information of the AI ​​control command into the first OSC frame;

[0007] The first OSC frame is sent to the real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information;

[0008] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0009] Furthermore, AI control instructions including operation and maintenance information and operation and maintenance verification information are generated, specifically including:

[0010] Generates AI control instructions based on real-time OTN operation data. This information includes service migration and rollback information.

[0011] Sending the service migration information of the operation and maintenance operation information to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates service migration according to the service migration information;

[0012] Obtaining shadow performance parameters of the shadow target network element node after simulating service migration, and obtaining a first score of the service migration information based on the shadow performance parameters and a preset performance threshold;

[0013] In response to the first score being greater than a first score threshold, the first score and the preset performance threshold are used as operation and maintenance verification information; otherwise, operation and maintenance operation information of the AI ​​control instruction is regenerated.

[0014] Furthermore, the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame, specifically including:

[0015] A first AI extension segment is added to a first traditional OSC frame structure used for downlinking management and control data, and operation and maintenance operation information and operation and maintenance verification information are encapsulated in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score, and a preset performance threshold. The last bit of the management and control data field of the first traditional OSC frame structure is set to a first AI flag. Different values ​​of the first AI flag are set to indicate whether the AI ​​control instruction is carried, so as to obtain a first OSC frame.

[0016] Furthermore, the first OSC frame is sent to the real target network element node of the OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information, specifically including:

[0017] The first OSC frame with the first AI extension segment added and the first AI flag set is sent to the real target network element node of the OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the service migration information, service rollback information, the first score and the preset performance threshold in the first AI extension segment according to the value of the first AI flag, completes the service migration according to the service migration information, obtains the real performance parameters after the service migration is completed, obtains the second score of the service migration information according to the real performance parameters and the preset performance threshold, obtains the verification result after the service migration is completed according to the second score and the first score, and decides whether to enable the service rollback information to cancel the service migration according to the verification result.

[0018] Furthermore, the method further comprises:

[0019] Receive the second OSC frame from the real target network element node, obtain the verification result encapsulated in the second OSC frame, and use the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequent generation of AI control instructions;

[0020] Among them, the second OSC frame is obtained by the real target network element node, which adds a second AI extension segment to the second traditional OSC frame structure used to upload alarm data or operation data, encapsulates the verification result in the second AI extension segment, and sets the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure to the second AI flag. The second AI flag is set to different values ​​to indicate whether it carries the verification result.

[0021] Further, wherein:

[0022] In response to the network management system having an OSC channel and the management end device being the network management system, the method comprises the network management system generating an AI control instruction including operation and maintenance information and operation and maintenance verification information, encapsulating the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction into a first OSC frame, sending the first OSC frame to a real target network element node through the OSC channel, receiving a second OSC frame from the real target network element node, obtaining a verification result encapsulated in the second OSC frame, and using the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequently generating the AI ​​control instruction;

[0023] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the method generates an AI control instruction including operation and maintenance operation information and operation and maintenance verification information by the network management system and sends the AI ​​control instruction to the central network element node.

[0024] The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame, sends the first OSC frame to the real target network element node through the OSC channel, receives the second OSC frame from the real target network element node, and sends the verification result encapsulated in the second OSC frame to the network management system.

[0025] This enables the network management system to use the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0026] In a second aspect, the present application provides an OTN operation and maintenance method, which is applied to a real target network element node for OTN network operation and maintenance, and includes:

[0027] Receive the first OSC frame from the management end device of the OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management end device, including operation and maintenance operation information and operation and maintenance verification information. The management end device encapsulates the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel.

[0028] Obtaining operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame;

[0029] Perform operation and maintenance operations according to the operation and maintenance operation information, and obtain verification results after the operation and maintenance operations according to the operation and maintenance verification information;

[0030] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0031] Furthermore, a first OSC frame is received from a management terminal device for OTN network operation and maintenance. The first OSC frame is generated by the management terminal device and includes an AI control instruction including operation and maintenance operation information and operation and maintenance verification information. The operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and then sent through the OSC channel. Specifically, the first OSC frame includes:

[0032] Receive the first OSC frame from the management terminal device of the OTN network operation and maintenance, the first OSC frame includes the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction,

[0033] Operation and maintenance operation information includes service migration information and service rollback information. Operation and maintenance verification information includes the first score and the preset performance threshold. Service migration information and service rollback information are generated by the management end device based on real-time OTN operation data.

[0034] The first score is obtained by the management end device based on the shadow performance parameters and the preset performance threshold. The service migration information of the operation and maintenance operation information is sent to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates the service migration according to the service migration information, and obtains the shadow performance parameters of the shadow target network element node after the simulated service migration.

[0035] The operation and maintenance operation information and the operation and maintenance verification information serve as components of the AI ​​control instruction under the condition that the first score is greater than the first score threshold.

[0036] Furthermore, the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame are obtained, specifically including:

[0037] Obtaining a value of a first AI flag in the first OSC frame, and obtaining service migration information, service rollback information, a first score, and a preset performance threshold in a first AI extension segment in the first OSC frame according to the value of the first AI flag,

[0038] The first OSC frame is obtained by the management end device, which adds a first AI extension segment to the first traditional OSC frame structure used to transmit management control data, encapsulates operation and maintenance operation information and operation and maintenance verification information in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score and a preset performance threshold, and sets the last bit of the management control data field of the first traditional OSC frame structure to the first AI flag. The first AI flag is set to different values ​​to indicate whether it carries AI control instructions.

[0039] Furthermore, the operation and maintenance operation is performed according to the operation and maintenance operation information, and the verification result after the operation and maintenance operation is obtained according to the operation and maintenance verification information, specifically including:

[0040] Complete business migration based on business migration information and obtain actual performance parameters after business migration.

[0041] Obtain a second score for the service migration information based on the actual performance parameters and the preset performance threshold, and obtain a verification result after the service migration is completed based on the second score and the first score;

[0042] Based on the verification results, decide whether to enable the business rollback information to cancel the business migration.

[0043] Furthermore, the method further comprises:

[0044] A second AI extension segment is added to a second traditional OSC frame structure used for uploading alarm data or operation data, a verification result is encapsulated in the second AI extension segment, and the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure is set to a second AI flag. The second AI flag is set to different values ​​to indicate whether the verification result is carried, so as to obtain a second OSC frame.

[0045] The second OSC frame is sent to the management end device so that the management end device obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions.

[0046] Further, wherein:

[0047] In response to the network management system having an OSC channel, the management end device is the network management system, and the real target network element node receives a first OSC frame from the network management system. The first OSC frame is an AI control instruction generated by the network management system including operation and maintenance information and operation and maintenance verification information, and the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel.

[0048] The real target network element node sends a second OSC frame to the network management system, so that the network management system obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions;

[0049] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the real target network element node receives a first OSC frame from the central network element node. The first OSC frame is an AI control instruction including operation and maintenance information and operation and maintenance verification information generated by the network management system and sent to the central network element node. The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel.

[0050] The real target network element node sends a second OSC frame to the central network element node, so that the central network element node sends the verification result encapsulated in the second OSC frame to the network management system, so that the network management system uses the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0051] In a third aspect, the present application provides an OTN operation and maintenance device, which is specifically a management terminal device for OTN network operation and maintenance, and includes:

[0052] AI instruction generation module, used to generate AI control instructions including operation and maintenance information and operation and maintenance verification information;

[0053] An AI instruction encapsulation module, connected to the AI ​​instruction generation module, for encapsulating the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame;

[0054] An AI instruction sending module is connected to the AI ​​instruction encapsulation module and is used to send the first OSC frame to a real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information;

[0055] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0056] In a fourth aspect, the present application provides an OTN operation and maintenance device, which is specifically a real target network element node for OTN network operation and maintenance, and includes:

[0057] The AI ​​instruction receiving module is configured to receive a first OSC frame from a management terminal device for OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management terminal device and includes operation and maintenance operation information and operation and maintenance verification information. The management terminal device encapsulates the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends the frame through the OSC channel.

[0058] An AI instruction parsing module, connected to the AI ​​instruction receiving module, for obtaining operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame;

[0059] The AI ​​instruction execution verification module is connected to the AI ​​instruction parsing module and is used to perform operation and maintenance operations according to the operation and maintenance operation information and obtain verification results after the operation and maintenance operations according to the operation and maintenance verification information;

[0060] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0061] In a fifth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the OTN operation and maintenance method as described above is implemented.

[0062] The present application provides an OTN operation and maintenance method, apparatus, and medium. These methods transmit AI control instructions in an OSC frame structure through an OSC channel, without sharing the channel with user service data. Furthermore, the AI ​​control instructions carry operation and maintenance information and verification information, ensuring network operation and maintenance security by timely verifying operation and maintenance operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a flow chart of an OTN operation and maintenance method according to an embodiment of the present application;

[0064] Figure 2 This is a flow chart of another OTN operation and maintenance method according to an embodiment of the present application;

[0065] Figure 3 This is a structural diagram of an OTN operation and maintenance device according to an embodiment of the present application;

[0066] Figure 4 This is a structural diagram of another OTN operation and maintenance device according to an embodiment of the present application;

[0067] Figure 5 It is a structural diagram of an existing OSC frame;

[0068] Figure 6 This is a schematic structural diagram of an improved OSC frame according to an embodiment of the present application;

[0069] Figure 7This is a structural diagram of an OTN network operation and maintenance system according to an embodiment of the present application. DETAILED DESCRIPTION

[0070] In order to enable those skilled in the art to better understand the technical solution of the present application, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0071] It should be understood that the specific embodiments and drawings described herein are only used to explain the present application, rather than to limit the present application.

[0072] It can be understood that, in the absence of conflict, the various embodiments and features in the embodiments of the present application can be combined with each other.

[0073] It will be understood that, for the sake of ease of description, the drawings of this application only show the parts related to this application, while the parts not related to this application are not shown in the drawings.

[0074] It can be understood that each module and unit involved in the embodiments of the present application may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple modules and units may be integrated into one physical structure.

[0075] It is understood that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present application may occur in an order different from that marked in the drawings.

[0076] It is understood that the flowcharts and block diagrams of the present application illustrate the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present application. Each box in the flowchart or block diagram may represent a module, unit, program segment, or code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based device that implements the specified functions, or by a combination of hardware and computer instructions.

[0077] It can be understood that the modules and units involved in the embodiments of the present application can be implemented by software or hardware, for example, the modules and units can be located in a processor.

[0078] Example 1:

[0079] like Figure 1 As shown, the present application provides an OTN operation and maintenance method, which is applied to a management terminal device for OTN network operation and maintenance, and includes:

[0080] S11. Generate AI control instructions including operation and maintenance information and operation and maintenance verification information;

[0081] S12. Encapsulate the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame;

[0082] S13. Send the first OSC frame to the real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information.

[0083] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0084] In this embodiment, if Figure 1 The method shown is applied to the management terminal equipment of OTN network operation and maintenance, and can also provide the corresponding real target network element node applied to OTN network operation and maintenance. Figure 2 The method shown in the figure is as follows: Figure 3 The device shown in the figure is the real target network element node of OTN network operation and maintenance. Figure 4 The method and device send AI control instructions with OSC frame structure through the OSC channel, which does not share the channel with user service data. At the same time, the AI ​​control instructions carry operation and maintenance information and operation and maintenance verification information, ensuring network operation and maintenance security by timely verifying the operation and maintenance operations.

[0085] More specifically, this embodiment provides an OTN optical transmission network AI operation and maintenance method and system based on OSC channel optimization.

[0086] OTN (Optical Transport Network) is an optical layer transmission network architecture designed for high-reliability and high-bandwidth transmission requirements. It features unified service carrying, flexible path scheduling, and network protection switching. For example, a provincial-level backbone OTN network includes a provincial central network element node and local municipal network element nodes. For example, in the case of communication between two network element devices, customer-side service signals (such as mobile communications, broadcasting, television services, and enterprise-level private line services) are carried on optical channels with different wavelengths.

[0087] The Optical Supervisory Channel (OSC), a key auxiliary channel in the OTN network system, is a low-speed optical channel independent of the service wavelength. It typically operates at 1510nm or 1511nm and is dedicated to exchanging management and control data between sites in the OTN network. Network element devices on this channel, through their OSC interfaces, acquire data transmitted on physical optical fiber links, such as device auto-discovery, alarm reporting, operational status synchronization, and link performance monitoring. This data is then uploaded to the central network element via the OSC channel. The central network element then acquires management and control data, such as remote configuration and maintenance operations, from the network management system and transmits it to the target node network element via the OSC channel. The OSC channel does not participate in the transmission of user service data.

[0088] OTN operations often require extensive data processing and experience, making them ideally suited for AI from a technical perspective. However, OTN operations also demand extremely high accuracy, essentially requiring zero tolerance for errors. A single OTN failure can potentially cause widespread network disruption. Therefore, given the inherent instability of AI, OTN operations are also highly unsuitable for AI from a business perspective.

[0089] The purpose of this embodiment is to expand AI (artificial intelligence) operation and maintenance in the existing OTN system, design an OTN system that can be operated and maintained by AI, and ensure network security through channel isolation and enhanced verification.

[0090] The following are explanations of some of the terms that will appear later:

[0091] Automatic service port switching on the device side: In OTN optical transmission networks, based on real-time network status (such as port failure, performance degradation, and load balancing requirements), the service flow source port is automatically migrated to the target port on the device side.

[0092] Automatic ring network switching on the optical path side: In the OTN optical transmission network, when the optical cable on the optical path side is broken or the optical cable performance deteriorates (such as loss > 30dB), the affected node network element equipment is controlled to perform ring network protection switching, switching the service route from the faulty main route to the backup route.

[0093] Optical module DDM data: This data is acquired in real time by the built-in DDM (Digital Diagnostic Monitoring) chip in the optical module port of the target network element device. The data includes the following parameters: received optical power (RxPower), transmitted optical power (TxPower), temperature, voltage, etc.

[0094] OTDR micro-reflection test results: Network element devices integrate an OTDR (optical time-domain reflectometer) module (such as Huawei's eOTDR board) to emit high-power optical pulses into the optical fiber transmission link. This tests the optical path to determine whether there are abnormal reflections, breakpoints, or high-loss sections. This generates OTDR micro-reflection test results.

[0095] In one embodiment, S11, generating an AI control instruction including operation and maintenance information and operation and maintenance verification information, specifically includes:

[0096] Generates AI control instructions based on real-time OTN operation data. This information includes service migration and rollback information.

[0097] Sending the service migration information of the operation and maintenance operation information to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates service migration according to the service migration information;

[0098] Obtaining shadow performance parameters of the shadow target network element node after simulating service migration, and obtaining a first score of the service migration information based on the shadow performance parameters and a preset performance threshold;

[0099] In response to the first score being greater than a first score threshold, the first score and the preset performance threshold are used as operation and maintenance verification information; otherwise, operation and maintenance operation information of the AI ​​control instruction is regenerated.

[0100] In this embodiment, an AI operation and maintenance method and system for an OTN optical transmission network based on OSC channel optimization are proposed. The system includes an AI instruction generation module 11, an AI instruction encapsulation module 12, an AI instruction parsing module 22, and an AI instruction execution verification module 23.

[0101] The AI ​​instruction generation module 11 is used to obtain dynamic operation data such as the topology structure, equipment status, and alarm information of the OTN network in real time, and input the large language inference model to output AI control instructions automatically generated based on the large language model. AI control instructions refer to the operation and maintenance operation instructions issued to the target OTN network node equipment. The types of AI control instructions include service migration such as automatic switching of service ports on the equipment side and automatic switching of ring networks on the optical path side. The content of the AI ​​control instruction mainly includes AI-Order-ID; operation and maintenance operation type (such as ring network protection switching, automatic port switching, etc.); target port, original port, and rollback path. After the target network element device obtains this information, the main control board can perform software-level configuration operations, that is, the operation and maintenance operations of the AI ​​control instruction.

[0102] The reasoning model used by the AI ​​instruction generation module 11 can be implemented based on existing technologies, including: a prediction model based on a deep neural network, a rule-based reasoning engine based on a knowledge graph, and an LLM (Large Language Model) RAG (Retrieval-augmented Generation) enhancement system. In actual applications, the AI ​​instruction generation module 11 connects to the network management system through an API (Application Programming Interface) and can obtain dynamic operation data in the OTN network in real time, including but not limited to network topology, equipment operating status, alarm information, etc. Specifically, the AI ​​instruction generation module 11 retrieves the operation and maintenance rules most relevant to the current dynamic operation data from the constructed historical operation and maintenance knowledge base, and constructs the search results and the current dynamic operation data into prompt words (Prompt), which are input into the large language model to automatically generate AI control instructions. The historical operation and maintenance knowledge base is a semantically searchable knowledge base constructed from data such as fault cases, historical operation records, and manufacturer operation manuals.

[0103] The AI ​​instruction generation module 11 is also used to submit the AI ​​control instruction to the shadow network for simulation verification. If the verification is passed, the instruction is submitted to the AI ​​instruction encapsulation module 12 for encapsulation; if the verification fails, an error code is returned and the AI ​​control instruction is regenerated. When submitting the shadow network, structured AI instructions are used, which have not yet been encapsulated into OSC extended frames. "Shadow Network" refers to a virtual simulation environment or isolated test architecture built in the OTN transmission network to ensure the safe execution of actual services. Its operating status is highly synchronized with the real network and is used to perform pre-simulation and policy verification of AI control instructions without affecting production services. In this embodiment, the shadow network and physical layer verification are two different verifications. The shadow network is mainly used to verify the rationality of the AI ​​instruction. The physical layer verification further confirms the feasibility of the AI ​​instruction by obtaining the actual operating data of the target port / board. Since the shadow network is a simulated OTN network, the shadow network operation verification and the actual physical layer verification are performed, and a rollback path is set to ensure network security.

[0104] In one embodiment, S12, encapsulating the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction into the first OSC frame, specifically includes:

[0105] A first AI extension segment is added to a first traditional OSC frame structure used for downlinking management and control data, and operation and maintenance operation information and operation and maintenance verification information are encapsulated in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score, and a preset performance threshold. The last bit of the management and control data field of the first traditional OSC frame structure is set to a first AI flag. Different values ​​of the first AI flag are set to indicate whether the AI ​​control instruction is carried, so as to obtain a first OSC frame.

[0106] In this embodiment, the AI ​​instruction encapsulation module 12 is configured to receive verified AI control instructions, encapsulate them into OSC extended frames according to a preset extended frame structure, and send them to the target network element device in the OTN network via the management terminal device. The AI ​​instruction encapsulation includes the OSC extended frame structure definition and AI instruction encapsulation.

[0107] OSC extended frame structure definition is used to define the OSC extended frame structure, adding an AI-OC (Operation Command) extension segment to the traditional OSC frame structure. The existing OSC frame structure is as follows Figure 5 As shown, the traditional OSC frame structure is used to transmit management and control data of the OTN network. It can upload alarm data or operation data of the network element node, and can also transmit control signals from the network management system through the central network element. The AI ​​control instruction is structured data, including AI-Order-ID (a unique identifier representing the AI ​​operation instruction); operation and maintenance operation type (such as ring network protection switching, port automatic switching, etc.); target port, original port, rollback path (optional); performance threshold; security signature, etc. The generated AI control instruction is packaged in the AI-OC extension segment and filled into the OSC frame structure using the TLV (Type-Length-Value) structure. The AI-OC extension segment structure is defined as follows:

[0108]

[0109]

[0110] At the same time, in the control command field, the last bit is reserved as the AI-Control flag (bit [7] = 1) to distinguish traditional control frames from AI control frames. When this bit is 1, the device recognizes it as an AI-delivered frame and reads the AI-OC extension segment; if this bit is 0, the frame content is processed in the traditional way.

[0111] AI instruction encapsulation is used to map AI control instructions to the TLV structure required in the AI-OC extension segment according to the OSC extended frame structure definition, and serialize it into a binary format; then, the AI-OC extension segment is spliced ​​with the frame synchronization header, device identification field, alarm field, and control command field to form a complete OSC extended frame, where the highest bit of the control command field is set to 1 to identify the AI ​​control frame; and the OSC extended frame is sent down to the OTN network through the network management system, and then the OSC extended frame is distributed and transmitted between each network element node through the OSC channel, and transmitted to the target OTN network element node device to ensure the structured, easy to distinguish, secure, and synchronous transmission of AI control information. The traditional OSC frame structure does not include AI instructions, but the OSC frame structure provides a reserved extension field. Based on this, this embodiment adds an AI-OC extension field, and adds a flag bit to facilitate the distinction between AI instructions and traditional control instructions.

[0112] In one embodiment, S13, sending the first OSC frame through the OSC channel to a real target network element node for OTN network operation and maintenance, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information, specifically including:

[0113] The first OSC frame with the first AI extension segment added and the first AI flag set is sent to the real target network element node of the OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the service migration information, service rollback information, the first score and the preset performance threshold in the first AI extension segment according to the value of the first AI flag, completes the service migration according to the service migration information, obtains the real performance parameters after the service migration is completed, obtains the second score of the service migration information according to the real performance parameters and the preset performance threshold, obtains the verification result after the service migration is completed according to the second score and the first score, and decides whether to enable the service rollback information to cancel the service migration according to the verification result.

[0114] In this embodiment, the AI ​​instruction parsing module 22 is used to parse the OSC extended frame after receiving it, obtain the AI ​​control instruction, that is, the AI-OC extended segment contained in the OSC extended frame, and execute the instruction by the main control board of the target network element device, that is, the target network element node parses and executes the instruction. The operation process is as follows: parse the frame synchronization header and the control command field; determine that the highest bit [7] of the control command field is 1, and identify it as an AI control frame; extract the AI-OC extended segment, and parse the content of each field according to the TLV structure, including: AI-Order-ID, operation and maintenance operation type, target port, original port, rollback path (optional), AI score, performance threshold, security signature, etc. It can be understood that if the highest bit [7] of the control command field is 0, it is identified as a traditional alarm control frame and processed by the main control board according to the traditional frame content processing method.

[0115] The AI ​​command execution verification module 23 is used to verify the connection status based on performance thresholds after the main control board executes the AI ​​control command. If the status verification passes, it returns an execution success report. If the status verification fails, it returns an execution error code and, if a rollback path exists, invokes it to restore the network configuration state before the AI ​​control command was executed. The main control board executes the AI ​​control command, including verifying the validity of the AI-Order-ID and the legitimacy of the hash signature. The main control board of the target network element device executes the parsed AI command.

[0116] Post-execution connection status verification checks include: real-time DDM optical power of the port, confirmation of port plug-in / plug-out status, and OTDR microreflection test results to confirm connection validity. The performance threshold represents the threshold for the check items used for post-AI command connection status verification. After obtaining the actual score, it is compared with the simulated score. Based on the verification results of the score comparison, the operation is maintained or revoked to ensure consistency between the actual and simulated operation and maintenance results. The specific scoring method is not limited; the calculation method for the actual and simulated scores must be consistent.

[0117] In one embodiment, if Figure 1 The illustrated method further includes:

[0118] Receive the second OSC frame from the real target network element node, obtain the verification result encapsulated in the second OSC frame, and use the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequent generation of AI control instructions;

[0119] Among them, the second OSC frame is obtained by the real target network element node, which adds a second AI extension segment to the second traditional OSC frame structure used to upload alarm data or operation data, encapsulates the verification result in the second AI extension segment, and sets the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure to the second AI flag. The second AI flag is set to different values ​​to indicate whether it carries the verification result.

[0120] In this embodiment, the physical layer verification check items of the AI ​​instruction execution verification module 23 include: at least one of target port optical module DDM power check, target port OTDR micro-reflection test result, and target port plug-in status confirmation.

[0121] 1) Optical module DDM power check: Obtain the DDM data of the target port optical module, such as the current received optical power value (Rx Power), to detect whether the optical received power value reported by the DDM of the optical module connected to the target port is within the preset normal range (for example: -6dBm to -2dBm), so as to determine whether the optical channel has normal transmission capacity. 2) OTDR micro-reflection test results: Obtain the OTDR detection data of the optical path connected to the target port, and determine whether there are abnormal reflections, breakpoints or high-loss sections in the optical path connected to the target port, to ensure that the link loss is within a controllable range (for example, less than 0.2dB). 3) Port plug-in status confirmation: Obtain the port physical status information of the target port, and confirm whether the port physical status of the target port specified in the AI ​​control instruction is idle, whether the insertion status is good, and whether the conditions for completing physical fiber jumper or switching operations are met.

[0122] The AI ​​instruction execution verification module 23 executes the AI ​​control instruction operation and verifies the post-execution connection status. If the status verification passes, a successful execution report is returned. If the status verification fails, a rollback path is determined. If so, the rollback path is invoked to restore the network configuration state before the AI ​​control instruction execution. Furthermore, if the verification fails, the instruction is marked as a negative sample for subsequent AI training. The verification result can be returned through the OSC channel. The corresponding OSC frame structure refers to the above design, replacing the extension segment with the verification result.

[0123] In one embodiment, wherein:

[0124] In response to the network management system having an OSC channel and the management end device being the network management system, the method comprises the network management system generating an AI control instruction including operation and maintenance information and operation and maintenance verification information, encapsulating the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction into a first OSC frame, sending the first OSC frame to a real target network element node through the OSC channel, receiving a second OSC frame from the real target network element node, obtaining a verification result encapsulated in the second OSC frame, and using the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequently generating the AI ​​control instruction;

[0125] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the method generates an AI control instruction including operation and maintenance operation information and operation and maintenance verification information by the network management system and sends the AI ​​control instruction to the central network element node.

[0126] The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame, sends the first OSC frame to the real target network element node through the OSC channel, receives the second OSC frame from the real target network element node, and sends the verification result encapsulated in the second OSC frame to the network management system.

[0127] This enables the network management system to use the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0128] In this embodiment, in terms of system structure, each network element node device in the OTN network implements management and control data exchange between adjacent nodes through the OSC channel. Figure 7 As shown, an OTN network typically has a central network element (NE) node to establish a connection with the network management system. This network management system can be a traditional NMS (such as the Huawei U2000), an SDN (Software Defined Network) control platform, or an NCE (Network Cloud Engine), Huawei's first network automation platform integrating management, control, and analysis. If the traditional NMS has an OSC channel, the central NE node can be omitted.

[0129] Consider an OTN topology where the network management system interfaces only with the central network element (NE). Local NEs 1, 2, ..., N are interconnected via the OTN network and transmit management and control data via OSC optical channels. The NMS generates management and control data, such as operation and maintenance instructions and status query requests, and sends them to the central NE node of the OTN network. This central NE node then distributes and transmits the relevant management and control data among the target NE nodes via OSC channels. Simultaneously, topology, device status, and alarm information collected by each NE node are also uploaded to the central NE node via OSC channels, aggregated, and forwarded to the NMS, thus enabling centralized management and intelligent scheduling of the entire optical transmission network. An IP interface can be used between the NMS and the central NE node. The AI ​​command generation module 11 runs on the NMS side and can be deployed as a standalone NMS extension unit or embedded within the NMS. The AI ​​command encapsulation module 12 runs on the central NE device and can be embedded within the OSC optical monitoring channel processing board (such as the SC1 board in the OSN8800) of the central NE node. The AI ​​instruction parsing module 22 and the AI ​​instruction execution verification module 23 run on the network element node device end (including the central network element and local city node network elements in the OTN network) and can be embedded in the main control board of the node device as an extended function module of the main control board.

[0130] The following is an example of automatic service port switching on the device side, including the following steps:

[0131] Step 1: In the OTN optical transmission network, the port MUX_A-Port3 in the multiplexer board MUX that interconnects adjacent network element nodes The optical power performance of the service channel of MUX_B-Port3 (client-side service wavelength λ=1550nm) deteriorates. The AI ​​instruction generation module 11 obtains the current operation data through the network management system and generates an AI instruction for automatic switching of the service port. The AI ​​instruction is: switch the original path (MUX_A-Port3 The service on MUX_B-Port3 is switched to the target (MUX_A-Port5) MUX_B-Port5). A and B represent network element node identifiers, MUX represents the multiplexing board, and Port represents the port. The multiplexing board MUX can include 40 ports or 80 ports.

[0132] The AI ​​instruction generation module 11 generates the following structured AI instructions:

[0133]

[0134]

[0135] Step 2: The AI ​​instruction generation module 11 performs verification as shown in Table 1 below through the shadow network:

[0136] Table 1 Shadow network verification content

[0137]

[0138] If the verification is successful, the AI ​​control instruction is transferred to the AI ​​instruction encapsulation module 12 .

[0139] Step 3: The AI ​​instruction is packaged into an OSC frame and sent. The AI ​​instruction encapsulation module 12 packages the generated control instruction into an AI-OC segment (TLV structure) and fills it into the OSC frame structure. The AI-OC segment structure is shown in Table 2 below:

[0140] Table 2 AI-OC segment structure of the first OSC frame

[0141]

[0142] Step 4: The AI ​​command parsing module 22 receives frame data through the OSC channel, including the AI-OC extension segment, and parses the frame synchronization header and control command field. It determines if the highest bit [7] of the control command field is 1, identifying it as an AI control frame. It extracts the AI-OC extension segment and parses the contents of each field according to the TLV structure. The parsed AI command is executed by the main control board of the target network element device.

[0143] Step 5: After the command is executed, confirm the status and verify the following: After the service switch, the optical power is: MUX_A Port 5 = -4.1dBm, MUX_B Port 5 = -4.9dBm; the OTDR test shows no reflection anomalies, and the loss is <0.2dB. Verification is successful, and a success report is returned.

[0144] The beneficial effects of this embodiment include: extending AI O&M within the existing OTN system, applicable to typical O&M scenarios such as automatic switching of service ports on the device side, automatic switching of optical ring networks, and switching of standby boards. By implementing an extended structured AI-OC field within the OSC channel frame structure for storing AI command communications, this ensures isolation between control and services within the OTN network while also achieving compatibility between AI commands and traditional management and control data, effectively distinguishing between traditional control commands and AI control commands. AI command encapsulation and communication can be achieved through simple configuration within the original OSC frame, and is vendor-neutral; OTN network elements from different vendors only need to support OSC extended frame parsing. Due to the extremely high accuracy requirements of OTN O&M, to overcome the instability of artificial intelligence, all AI operations undergo pre-verification (shadow network) and physical layer verification at the node network element device layer. Post-execution status verification, scoring, and rollback paths provide a secure closed loop, ensuring the accuracy, operability, and network security of AI O&M. AI continuous learning and command archiving and auditing are supported, building a self-evolving transmission network.

[0145] Example 2:

[0146] like Figure 2 As shown, the present application provides an OTN operation and maintenance method, which is applied to a real target network element node of OTN network operation and maintenance, and includes:

[0147] S21. Receive a first OSC frame from a management terminal device for OTN network operation and maintenance. The first OSC frame is generated by the management terminal device as an AI control instruction including operation and maintenance information and operation and maintenance verification information. The management terminal device encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends the frame through the OSC channel.

[0148] S22. Acquire operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame;

[0149] S23. Perform an operation and maintenance operation according to the operation and maintenance operation information, and obtain a verification result after the operation and maintenance operation according to the operation and maintenance verification information;

[0150] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0151] In one embodiment, S21 receives a first OSC frame from a management terminal device for OTN network operation and maintenance. The first OSC frame is generated by the management terminal device as an AI control instruction including operation and maintenance information and operation and maintenance verification information, and the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel. Specifically, the first OSC frame includes:

[0152] Receive the first OSC frame from the management terminal device of the OTN network operation and maintenance, the first OSC frame includes the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction,

[0153] Operation and maintenance operation information includes service migration information and service rollback information. Operation and maintenance verification information includes the first score and the preset performance threshold. Service migration information and service rollback information are generated by the management end device based on real-time OTN operation data.

[0154] The first score is obtained by the management end device based on the shadow performance parameters and the preset performance threshold. The service migration information of the operation and maintenance operation information is sent to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates the service migration according to the service migration information, and obtains the shadow performance parameters of the shadow target network element node after the simulated service migration.

[0155] The operation and maintenance operation information and the operation and maintenance verification information serve as components of the AI ​​control instruction under the condition that the first score is greater than the first score threshold.

[0156] In one embodiment, S22, obtaining operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, specifically includes:

[0157] Obtaining a value of a first AI flag in the first OSC frame, and obtaining service migration information, service rollback information, a first score, and a preset performance threshold in a first AI extension segment in the first OSC frame according to the value of the first AI flag,

[0158] The first OSC frame is obtained by the management end device, which adds a first AI extension segment to the first traditional OSC frame structure used to transmit management control data, encapsulates operation and maintenance operation information and operation and maintenance verification information in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score and a preset performance threshold, and sets the last bit of the management control data field of the first traditional OSC frame structure to the first AI flag. The first AI flag is set to different values ​​to indicate whether it carries AI control instructions.

[0159] In one embodiment, S23, performing an operation and maintenance operation according to the operation and maintenance operation information, and obtaining a verification result after the operation and maintenance operation according to the operation and maintenance verification information, specifically includes:

[0160] Complete business migration based on business migration information and obtain actual performance parameters after business migration.

[0161] Obtain a second score for the service migration information based on the actual performance parameters and the preset performance threshold, and obtain a verification result after the service migration is completed based on the second score and the first score;

[0162] Based on the verification results, decide whether to enable the business rollback information to cancel the business migration.

[0163] In one embodiment, the method further comprises:

[0164] A second AI extension segment is added to a second traditional OSC frame structure used for uploading alarm data or operation data, a verification result is encapsulated in the second AI extension segment, and the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure is set to a second AI flag. The second AI flag is set to different values ​​to indicate whether the verification result is carried, so as to obtain a second OSC frame.

[0165] The second OSC frame is sent to the management end device so that the management end device obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions.

[0166] In one embodiment, wherein:

[0167] In response to the network management system having an OSC channel, the management end device is the network management system, and the real target network element node receives a first OSC frame from the network management system. The first OSC frame is an AI control instruction generated by the network management system including operation and maintenance information and operation and maintenance verification information, and the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel.

[0168] The real target network element node sends a second OSC frame to the network management system, so that the network management system obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions;

[0169] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the real target network element node receives a first OSC frame from the central network element node. The first OSC frame is an AI control instruction including operation and maintenance information and operation and maintenance verification information generated by the network management system and sent to the central network element node. The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel.

[0170] The real target network element node sends a second OSC frame to the central network element node, so that the central network element node sends the verification result encapsulated in the second OSC frame to the network management system, so that the network management system uses the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0171] Example 3:

[0172] like Figure 3 As shown, the present application provides an OTN operation and maintenance device, which is specifically a management terminal device for OTN network operation and maintenance, and includes:

[0173] AI instruction generation module 11, used to generate AI control instructions including operation and maintenance information and operation and maintenance verification information;

[0174] The AI ​​instruction encapsulation module 12 is connected to the AI ​​instruction generation module 11 and is used to encapsulate the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame;

[0175] The AI ​​instruction sending module 13 is connected to the AI ​​instruction encapsulation module 12 and is used to send the first OSC frame to the real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information;

[0176] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0177] In one embodiment, the AI ​​instruction generation module 11 specifically includes:

[0178] An operation information generation unit is used to generate operation and maintenance operation information of AI control instructions based on real-time OTN operation data. The operation and maintenance operation information includes service migration information and service rollback information.

[0179] A simulation verification unit is connected to the operation information generation unit and is used to send the service migration information of the operation and maintenance operation information to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates service migration according to the service migration information;

[0180] a simulation scoring unit connected to the simulation verification unit, configured to obtain shadow performance parameters of the shadow target network element node after simulating service migration, and obtain a first score for the service migration information based on the shadow performance parameters and a preset performance threshold;

[0181] The operation and maintenance verification information generating unit is connected to the simulation scoring unit and is used to use the first score and the preset performance threshold as the operation and maintenance verification information in response to the first score being greater than the first score threshold, and otherwise regenerate the operation and maintenance operation information of the AI ​​control instruction.

[0182] In one embodiment, the AI ​​instruction encapsulation module 12 is specifically configured to:

[0183] A first AI extension segment is added to a first traditional OSC frame structure used for downlinking management and control data, and operation and maintenance operation information and operation and maintenance verification information are encapsulated in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score, and a preset performance threshold. The last bit of the management and control data field of the first traditional OSC frame structure is set to a first AI flag. Different values ​​of the first AI flag are set to indicate whether the AI ​​control instruction is carried, so as to obtain a first OSC frame.

[0184] In one embodiment, the AI ​​instruction sending module 13 is specifically configured to:

[0185] The first OSC frame with the first AI extension segment added and the first AI flag set is sent to the real target network element node of the OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the service migration information, service rollback information, the first score and the preset performance threshold in the first AI extension segment according to the value of the first AI flag, completes the service migration according to the service migration information, obtains the real performance parameters after the service migration is completed, obtains the second score of the service migration information according to the real performance parameters and the preset performance threshold, obtains the verification result after the service migration is completed according to the second score and the first score, and decides whether to enable the service rollback information to cancel the service migration according to the verification result.

[0186] In one embodiment, the device further comprises:

[0187] A verification result receiving unit is configured to receive a second OSC frame from a real target network element node, obtain the verification result encapsulated in the second OSC frame, and use the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequently generating AI control instructions;

[0188] Among them, the second OSC frame is obtained by the real target network element node, which adds a second AI extension segment to the second traditional OSC frame structure used to upload alarm data or operation data, encapsulates the verification result in the second AI extension segment, and sets the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure to the second AI flag. The second AI flag is set to different values ​​to indicate whether it carries the verification result.

[0189] In one embodiment, wherein:

[0190] In response to the network management system having an OSC channel and the management end device being the network management system, the method comprises the network management system generating an AI control instruction including operation and maintenance information and operation and maintenance verification information, encapsulating the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction into a first OSC frame, sending the first OSC frame to a real target network element node through the OSC channel, receiving a second OSC frame from the real target network element node, obtaining a verification result encapsulated in the second OSC frame, and using the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequently generating the AI ​​control instruction;

[0191] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the method generates an AI control instruction including operation and maintenance operation information and operation and maintenance verification information by the network management system and sends the AI ​​control instruction to the central network element node.

[0192] The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame, sends the first OSC frame to the real target network element node through the OSC channel, receives the second OSC frame from the real target network element node, and sends the verification result encapsulated in the second OSC frame to the network management system.

[0193] This enables the network management system to use the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0194] Example 4:

[0195] like Figure 4 As shown, the present application provides an OTN operation and maintenance device, which is specifically a real target network element node for OTN network operation and maintenance, and includes:

[0196] The AI ​​instruction receiving module 21 is configured to receive a first OSC frame from a management terminal device for OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management terminal device and including operation and maintenance operation information and operation and maintenance verification information. The management terminal device encapsulates the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends the frame through the OSC channel.

[0197] The AI ​​instruction parsing module 22 is connected to the AI ​​instruction receiving module 21 and is used to obtain the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame;

[0198] The AI ​​instruction execution verification module 23 is connected to the AI ​​instruction parsing module 22 and is used to perform the operation and maintenance operation according to the operation and maintenance operation information and obtain the verification result after the operation and maintenance operation according to the operation and maintenance verification information;

[0199] Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

[0200] In one embodiment, the AI ​​instruction receiving module 21 is specifically configured to:

[0201] Receive the first OSC frame from the management terminal device of the OTN network operation and maintenance, the first OSC frame includes the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction,

[0202] Operation and maintenance operation information includes service migration information and service rollback information. Operation and maintenance verification information includes the first score and the preset performance threshold. Service migration information and service rollback information are generated by the management end device based on real-time OTN operation data.

[0203] The first score is obtained by the management end device based on the shadow performance parameters and the preset performance threshold. The service migration information of the operation and maintenance operation information is sent to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates the service migration according to the service migration information, and obtains the shadow performance parameters of the shadow target network element node after the simulated service migration.

[0204] The operation and maintenance operation information and the operation and maintenance verification information serve as components of the AI ​​control instruction under the condition that the first score is greater than the first score threshold.

[0205] In one embodiment, the AI ​​instruction parsing module 22 is specifically configured to:

[0206] Obtaining a value of a first AI flag in the first OSC frame, and obtaining service migration information, service rollback information, a first score, and a preset performance threshold in a first AI extension segment in the first OSC frame according to the value of the first AI flag,

[0207] The first OSC frame is obtained by the management end device, which adds a first AI extension segment to the first traditional OSC frame structure used to transmit management control data, encapsulates operation and maintenance operation information and operation and maintenance verification information in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score and a preset performance threshold, and sets the last bit of the management control data field of the first traditional OSC frame structure to the first AI flag. The first AI flag is set to different values ​​to indicate whether it carries AI control instructions.

[0208] In one embodiment, the AI ​​instruction execution verification module 23 specifically includes:

[0209] The service migration unit is used to complete service migration according to the service migration information and obtain the actual performance parameters after the service migration is completed;

[0210] A post-migration scoring unit, connected to the service migration unit, is configured to obtain a second score for the service migration information based on the actual performance parameters and the preset performance threshold, and obtain a verification result after the service migration is completed based on the second score and the first score;

[0211] The business rollback unit is connected to the post-migration scoring unit and is used to decide whether to enable the business rollback information to cancel the business migration based on the verification result.

[0212] In one embodiment, the device further comprises:

[0213] a verification result encapsulation unit connected to the AI ​​instruction execution verification module 23, configured to add a second AI extension segment to the second traditional OSC frame structure used for uploading alarm data or operation data, encapsulate the verification result in the second AI extension segment, and set the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure to a second AI flag, with the second AI flag set to different values ​​to indicate whether the verification result is carried, so as to obtain a second OSC frame;

[0214] The verification result sending unit is connected to the verification result encapsulation unit and is used to send a second OSC frame to the management end device, so that the management end device obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions.

[0215] In one embodiment, wherein:

[0216] In response to the network management system having an OSC channel, the management end device is the network management system, and the real target network element node receives a first OSC frame from the network management system. The first OSC frame is an AI control instruction generated by the network management system including operation and maintenance information and operation and maintenance verification information, and the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel.

[0217] The real target network element node sends a second OSC frame to the network management system, so that the network management system obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions;

[0218] In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the real target network element node receives a first OSC frame from the central network element node. The first OSC frame is an AI control instruction including operation and maintenance information and operation and maintenance verification information generated by the network management system and sent to the central network element node. The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel.

[0219] The real target network element node sends a second OSC frame to the central network element node, so that the central network element node sends the verification result encapsulated in the second OSC frame to the network management system, so that the network management system uses the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

[0220] Example 5:

[0221] Embodiment 5 of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the OTN operation and maintenance method described in embodiment 1 or 2 or the OTN operation and maintenance device described in embodiment 3 or 4 is implemented.

[0222] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program elements or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0223] In addition, the present application may also provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the OTN operation and maintenance method as described in Example 1 or 2. The computer device may be the OTN operation and maintenance device as described in Example 3 or 4.

[0224] The memory is connected to the processor, the memory may be a flash memory, a read-only memory or other memory, and the processor may be a central processing unit or a single-chip microcomputer.

[0225] Embodiments 1-5 of the present application provide an OTN operation and maintenance method, apparatus, and medium, which send AI control instructions in an OSC frame structure through an OSC channel without sharing the channel with user service data. At the same time, the AI ​​control instructions carry operation and maintenance operation information and operation and maintenance verification information, thereby ensuring network operation and maintenance security by timely verifying the operation and maintenance operations.

[0226] It is understood that the above embodiments are merely exemplary embodiments for illustrating the principles of the present application, and the present application is not limited thereto. Those skilled in the art may make various modifications and improvements without departing from the spirit and substance of the present application, and such modifications and improvements are also considered to be within the scope of protection of the present application.

Claims

1. An OTN operation and maintenance method, characterized in that: The method is applied to a management terminal device for OTN network operation and maintenance, and includes: Generate AI control instructions including operation and maintenance information and operation and maintenance verification information; Encapsulate the operation and maintenance information and operation and maintenance verification information of the AI ​​control command into the first OSC frame; The first OSC frame is sent to the real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information; Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

2. The method according to claim 1, characterized in that Generate AI control instructions including operation and maintenance information and operation and maintenance verification information, including: Generates AI control instructions based on real-time OTN operation data. This information includes service migration and rollback information. Sending the service migration information of the operation and maintenance operation information to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates service migration according to the service migration information; Obtaining shadow performance parameters of the shadow target network element node after simulating service migration, and obtaining a first score of the service migration information based on the shadow performance parameters and a preset performance threshold; In response to the first score being greater than a first score threshold, the first score and the preset performance threshold are used as operation and maintenance verification information; otherwise, operation and maintenance operation information of the AI ​​control instruction is regenerated.

3. The method according to claim 2, characterized in that Encapsulate the AI ​​control instruction's operation and maintenance information and verification information into the first OSC frame, specifically including: A first AI extension segment is added to a first traditional OSC frame structure used for downlinking management and control data, and operation and maintenance operation information and operation and maintenance verification information are encapsulated in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score, and a preset performance threshold. The last bit of the management and control data field of the first traditional OSC frame structure is set to a first AI flag. Different values ​​of the first AI flag are set to indicate whether the AI ​​control instruction is carried, so as to obtain a first OSC frame.

4. The method according to claim 3, characterized in that The first OSC frame is sent to the real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information. Specifically, the following steps are included: The first OSC frame with the first AI extension segment added and the first AI flag set is sent to the real target network element node of the OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the service migration information, service rollback information, the first score and the preset performance threshold in the first AI extension segment according to the value of the first AI flag, completes the service migration according to the service migration information, obtains the real performance parameters after the service migration is completed, obtains the second score of the service migration information according to the real performance parameters and the preset performance threshold, obtains the verification result after the service migration is completed according to the second score and the first score, and decides whether to enable the service rollback information to cancel the service migration according to the verification result.

5. The method according to any one of claims 3 to 4, characterized in that: The method further comprises: Receive the second OSC frame from the real target network element node, obtain the verification result encapsulated in the second OSC frame, and use the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequent generation of AI control instructions; Among them, the second OSC frame is obtained by the real target network element node, which adds a second AI extension segment to the second traditional OSC frame structure used to upload alarm data or operation data, encapsulates the verification result in the second AI extension segment, and sets the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure to the second AI flag. The second AI flag is set to different values ​​to indicate whether it carries the verification result.

6. The method according to claim 5, characterized in that in: In response to the network management system having an OSC channel and the management end device being the network management system, the method comprises the network management system generating an AI control instruction including operation and maintenance information and operation and maintenance verification information, encapsulating the operation and maintenance information and the operation and maintenance verification information of the AI ​​control instruction into a first OSC frame, sending the first OSC frame to a real target network element node through the OSC channel, receiving a second OSC frame from the real target network element node, obtaining a verification result encapsulated in the second OSC frame, and using the corresponding real-time OTN operation data, service migration information, and verification result as sample data for subsequently generating the AI ​​control instruction; In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the method generates an AI control instruction including operation and maintenance operation information and operation and maintenance verification information by the network management system and sends the AI ​​control instruction to the central network element node. The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame, sends the first OSC frame to the real target network element node through the OSC channel, receives the second OSC frame from the real target network element node, and sends the verification result encapsulated in the second OSC frame to the network management system. This enables the network management system to use the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

7. An OTN operation and maintenance method, characterized in that: The method is applied to a real target network element node of OTN network operation and maintenance, and includes: Receive the first OSC frame from the management end device of the OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management end device, including operation and maintenance operation information and operation and maintenance verification information. The management end device encapsulates the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel. Obtaining operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame; Perform operation and maintenance operations according to the operation and maintenance operation information, and obtain verification results after the operation and maintenance operations according to the operation and maintenance verification information; Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

8. The method according to claim 7, characterized in that The first OSC frame is received from the management end device of the OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management end device, including operation and maintenance operation information and operation and maintenance verification information. The operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel. Specifically, it includes: Receive the first OSC frame from the management terminal device of the OTN network operation and maintenance, the first OSC frame includes the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction, Operation and maintenance operation information includes service migration information and service rollback information. Operation and maintenance verification information includes the first score and the preset performance threshold. Service migration information and service rollback information are generated by the management end device based on real-time OTN operation data. The first score is obtained by the management end device based on the shadow performance parameters and the preset performance threshold. The service migration information of the operation and maintenance operation information is sent to the shadow target network element node of the shadow network of the OTN network, so that the shadow target network element node simulates the service migration according to the service migration information, and obtains the shadow performance parameters of the shadow target network element node after the simulated service migration. The operation and maintenance operation information and the operation and maintenance verification information serve as components of the AI ​​control instruction under the condition that the first score is greater than the first score threshold.

9. The method according to claim 8, characterized in that Obtain the operation and maintenance information and verification information of the AI ​​control instruction in the first OSC frame, including: Obtaining a value of a first AI flag in the first OSC frame, and obtaining service migration information, service rollback information, a first score, and a preset performance threshold in a first AI extension segment in the first OSC frame according to the value of the first AI flag, The first OSC frame is obtained by the management end device, which adds a first AI extension segment to the first traditional OSC frame structure used to transmit management control data, encapsulates operation and maintenance operation information and operation and maintenance verification information in the first AI extension segment, including encapsulated service migration information, service rollback information, a first score and a preset performance threshold, and sets the last bit of the management control data field of the first traditional OSC frame structure to the first AI flag. The first AI flag is set to different values ​​to indicate whether it carries AI control instructions.

10. The method according to claim 9, characterized in that Execute the operation and maintenance operation according to the operation and maintenance operation information, and obtain the verification results after the operation and maintenance operation according to the operation and maintenance verification information, including: Complete business migration based on business migration information and obtain actual performance parameters after business migration. Obtain a second score for the service migration information based on the actual performance parameters and the preset performance threshold, and obtain a verification result after the service migration is completed based on the second score and the first score; Based on the verification results, decide whether to enable the business rollback information to cancel the business migration.

11. The method according to any one of claims 9 to 10, characterized in that: The method further comprises: A second AI extension segment is added to a second traditional OSC frame structure used for uploading alarm data or operation data, a verification result is encapsulated in the second AI extension segment, and the last bit of the alarm data field or the operation data field of the second traditional OSC frame structure is set to a second AI flag. The second AI flag is set to different values ​​to indicate whether the verification result is carried, so as to obtain a second OSC frame. The second OSC frame is sent to the management end device so that the management end device obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions.

12. The method according to claim 11, characterized in that in: In response to the network management system having an OSC channel, the management end device is the network management system, and the real target network element node receives a first OSC frame from the network management system. The first OSC frame is an AI control instruction generated by the network management system including operation and maintenance information and operation and maintenance verification information, and the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction are encapsulated into the first OSC frame and sent through the OSC channel. The real target network element node sends a second OSC frame to the network management system, so that the network management system obtains the verification result encapsulated in the second OSC frame and uses the corresponding real-time OTN operation data, service migration information and verification result as sample data for subsequent generation of AI control instructions; In response to the network management system not having an OSC channel, the management end device includes the network management system and a central network element node of the OTN network, and the real target network element node receives a first OSC frame from the central network element node. The first OSC frame is an AI control instruction including operation and maintenance information and operation and maintenance verification information generated by the network management system and sent to the central network element node. The central network element node encapsulates the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends it through the OSC channel. The real target network element node sends a second OSC frame to the central network element node, so that the central network element node sends the verification result encapsulated in the second OSC frame to the network management system, so that the network management system uses the corresponding real-time OTN operation data, service migration information and verification results as sample data for subsequent generation of AI control instructions.

13. An OTN operation and maintenance device, characterized in that: The device is specifically a management terminal device for OTN network operation and maintenance, and includes: AI instruction generation module, used to generate AI control instructions including operation and maintenance information and operation and maintenance verification information; An AI instruction encapsulation module, connected to the AI ​​instruction generation module, for encapsulating the operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame; An AI instruction sending module is connected to the AI ​​instruction encapsulation module and is used to send the first OSC frame to a real target network element node for OTN network operation and maintenance through the OSC channel, so that the real target network element node obtains the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame, performs the operation and maintenance operation according to the operation and maintenance operation information, and obtains the verification result after the operation and maintenance operation according to the operation and maintenance verification information; Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

14. An OTN operation and maintenance device, characterized in that: The device is specifically a real target network element node for OTN network operation and maintenance, and includes: The AI ​​instruction receiving module is configured to receive a first OSC frame from a management terminal device for OTN network operation and maintenance. The first OSC frame is an AI control instruction generated by the management terminal device and includes operation and maintenance operation information and operation and maintenance verification information. The management terminal device encapsulates the operation and maintenance operation information and operation and maintenance verification information of the AI ​​control instruction into the first OSC frame and sends the frame through the OSC channel. An AI instruction parsing module, connected to the AI ​​instruction receiving module, for obtaining operation and maintenance information and operation and maintenance verification information of the AI ​​control instruction in the first OSC frame; The AI ​​instruction execution verification module is connected to the AI ​​instruction parsing module and is used to perform operation and maintenance operations according to the operation and maintenance operation information and obtain verification results after the operation and maintenance operations according to the operation and maintenance verification information; Among them, OTN is optical transmission network, AI is artificial intelligence, and OSC is optical monitoring channel.

15. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the OTN operation and maintenance method according to any one of claims 1 to 6 or 7 to 12 is implemented.

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