Optical network operation and maintenance system based on intelligent control technology

Abstract

The invention discloses an optical network operation and maintenance system based on an intelligent control technology, which belongs to the technical field of optical network operation and maintenance, and comprises a master station optical network operation and maintenance system intelligent platform, a plurality of optical network operation and maintenance control terminals deployed at a far-end station, a self-adaptive routing algorithm, an optical switch matrix and an optical channel resource management platform based on a B / S (Browser / Server) architecture. The system provided by the invention realizes efficient operation and maintenance of the optical network by detecting the optical signal power in real time and automatically optimizing the route. The adaptive routing algorithm can dynamically adjust the routing strategy according to the network state and the optical channel performance data, thereby improving the accuracy and response speed of network topology analysis and resource scheduling. The optical switch matrix adopts a mirror array structure driven by a micro electro mechanical system, integrates a wavelength selection switch function module, can realize accurate wavelength level scheduling, has the characteristic of low insertion loss, and remarkably improves the reconstruction flexibility of an optical channel and the stability of a network.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of optical network operation and maintenance, more specifically, to an optical network operation and maintenance system with intelligent control technology. BACKGROUND

[0002] With the rapid development of information technology and the continuous expansion of Internet services, optical fiber communication networks have become the core infrastructure of modern communication. Optical fiber networks are widely used in long-distance communication, data center connection, urban broadband access and other fields due to their high speed, stability and large capacity. However, optical fiber networks face many challenges in actual operation, such as complex network topology, attenuation and fluctuation of optical signals, and uneven network load, which may lead to network performance degradation, frequent failures and service interruptions.

[0003] To address these challenges, traditional optical network operation relies on manual monitoring and manual intervention, usually through regular checks and device troubleshooting to maintain the stable operation of the network. However, this approach has many shortcomings:

[0004] Traditional network operation mostly relies on manual inspection and adjustment, with low operation efficiency and difficulty in responding to changes in network status in real time. The routing and resource allocation mechanisms in existing optical networks are usually static, making it difficult to respond quickly to changes in network load or device failures, thereby affecting the flexibility and reliability of the network. Traditional optical switch matrices often use relatively simple optical switching technology, which has high insertion loss, insufficient wavelength selection and scheduling precision, and other problems, making it difficult to meet the demand for high-precision and high-efficiency optical channels. Existing optical channel monitoring technology can only perform simple power detection or state perception, and cannot obtain real-time wavelength, power and reflection characteristic data of optical channels, lacking comprehensive perception and intelligent fault prediction capabilities for optical channel status. When traditional optical network operation systems encounter fiber degradation, microbend loss and other abnormal conditions, they often rely on manual intervention or simple automated repair, and cannot quickly and accurately respond to failures.

[0005] Therefore, in order to solve these problems, there is an urgent need for an intelligent, efficient and reliable optical network operation system that can dynamically perceive network status, intelligently schedule resources, optimize routing, and has the ability to quickly respond and automatically repair, thereby improving the operation efficiency and stability of optical networks. SUMMARY

[0006] 1. Technical problems to be solved

[0007] In view of the problems in the prior art, the purpose of the present application is to provide an optical network operation and maintenance system with intelligent control technology, which can dynamically perceive network state, intelligently schedule resources, optimize routing, and has the ability of fast response and automatic repair, thereby improving the operation and maintenance efficiency and stability of the optical network.

[0008] 2. Technical solutions

[0009] To solve the above problems, the present application adopts the following technical solutions.

[0010] An optical network operation and maintenance system with intelligent control technology, comprising a master station optical network operation and maintenance system intelligent platform and a plurality of optical network operation and maintenance control terminals deployed at remote stations, including an adaptive routing algorithm, an optical switch matrix and an optical channel resource management platform based on B / S architecture.

[0011] According to the above features, the optical switch matrix adopts a mirror array structure driven by a micro-electromechanical system and integrates a wavelength selection switch function module.

[0012] In some embodiments, the optical channel resource management platform integrates an inference layer based on a graph neural network and an OPM unit embedded with a low-reflectivity optical fiber grating.

[0013] According to the above features, the adaptive routing algorithm includes a multi-layer logic module, which contains a reinforcement learning mechanism, a database service layer, a Web application service layer and a communication middleware layer.

[0014] In some embodiments, the optical switch matrix includes a MEMS micromirror and is configured with a backup core preheating and port alignment calibration mechanism.

[0015] According to the above features, the optical channel resource management platform integrates an OTDR module and a wavelength tunable test probe array, and is configured with a communication middleware layer supporting multi-wavelength channel parallel sampling.

[0016] In some embodiments, the optical network operation and maintenance terminal is configured with a core interface module for non-disturbance detection in a service optical channel.

[0017] According to the above features, a sub-domain control plane based on Brillouin optical time domain reflection architecture is included, which contains a local decision layer and a central coordination layer.

[0018] In some embodiments, the adaptive routing algorithm is based on a reinforcement learning model and establishes a bidirectional closed-loop feedback mechanism with an optical cable resource database.

[0019] According to the above features, the optical channel resource management platform based on B / S architecture adopts a role-based access control model.

[0020] 3. Advantages

[0021] Compared with the prior art, the advantages of the present application are:

[0022] 1) The system realizes efficient operation and maintenance of the optical network by real-time detection of optical signal power and automatic optimization of routing. The adaptive routing algorithm can dynamically adjust the routing strategy according to the network state and optical channel performance data, thereby improving the accuracy and response speed of network topology analysis and resource scheduling.

[0023] 2) The optical switch matrix adopts a micro-electromechanical system driven mirror array structure, integrates a wavelength selection switch function module, can realize accurate wavelength level scheduling, and has low insertion loss characteristics, significantly improving the reconfiguration flexibility of the optical channel and the stability of the network.

[0024] 3) By introducing the inference layer of the graph neural network and the OPM unit of the low reflectivity fiber grating, the system can real-time perceive the wavelength, power and reflection characteristic data of the optical channel, and perform intelligent resource scheduling driven by the topology structure.

[0025] 4) The core interface module in the system makes it possible to detect the optical signal without disturbance, avoids the interruption or interference of normal service transmission in the traditional detection method, ensures the real-time performance and service continuity of the optical network operation and maintenance, and improves the stability of the network service.

[0026] 5) The introduction of the sub-domain control plane, combined with the Brillouin optical time domain reflection architecture, ensures high-precision real-time perception of the fiber link state, and can perform local routing fine-tuning, ensuring fast response and recovery of the optical network in the presence of abnormal conditions such as degradation or micro-bending loss, significantly improving the self-repairing ability of the network. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be described clearly and completely below; obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0028] Embodiment 1:

[0029] The application discloses an optical network operation and maintenance system based on intelligent control technology, which comprises an optical network operation and maintenance terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix and an optical channel resource management platform based on B / S architecture; the optical network operation and maintenance terminal is fixedly arranged at an optical network node position, and is used for detecting an optical signal power value in real time and transmitting monitoring data to the central management platform through a special communication link; after receiving the monitoring data, the central management platform is used for executing network topology analysis immediately by the self-adaptive routing algorithm module and outputting an optical channel routing optimization instruction; a control port of the optical switch matrix is connected with an instruction output end of the central management platform through a signal line, and is used for switching an optical signal physical path according to the routing optimization instruction; an input end of the optical switch matrix is fixedly connected with an optical transmitting device; the optical transmitting device is an inductively coupled plasma atomic emission spectrometer, and has an output power of 700-1500 W and a wavelength range of 165 nm-900 nm; and an output end of the optical transmitting device is fixedly connected with an optical receiving device; the optical receiving device is an optical receiver of Shenzhen Rili Optoelectronic Technology, and comprises an optical receiver, a built-in Pre preamplifier and a C-band sensitivity of up to -28 dBm, a rate of 10 Gbps; and the optical channel resource management platform is composed of a Web server and a database; the Web server provides a webpage service interface through an HTTP protocol; and a user inputs a unique identity credential to log in the system to execute an optical channel resource allocation operation.

[0030] Embodiment 2

[0031] The application discloses an optical network operation and maintenance system based on intelligent control technology, which comprises an optical network operation and maintenance terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix and an optical channel resource management platform based on B / S architecture; the optical network operation and maintenance terminal is fixedly arranged at an optical network node position, and is used for detecting an optical signal power value in real time and transmitting monitoring data to the central management platform through a special communication link; after receiving the monitoring data, the central management platform is used for executing network topology analysis immediately by the self-adaptive routing algorithm module and outputting an optical channel routing optimization instruction; a control port of the optical switch matrix is connected with an instruction output end of the central management platform through a signal line, and is used for switching an optical signal physical path according to the routing optimization instruction; an input end of the optical switch matrix is fixedly connected with an optical transmitting device; the optical transmitting device is an inductively coupled plasma atomic emission spectrometer, and has an output power of 700-1500 W and a wavelength range of 165 nm-900 nm; and an output end of the optical transmitting device is fixedly connected with an optical receiving device; the optical receiving device is an optical receiver of Shenzhen Rili Optoelectronic Technology, and comprises an optical receiver, a built-in Pre preamplifier and a C-band sensitivity of up to -28 dBm, a rate of 10 Gbps; and the optical channel resource management platform is composed of a Web server and a database; the Web server provides a webpage service interface through an HTTP protocol; and a user inputs a unique identity credential to log in the system to execute an optical channel resource allocation operation. Compared with embodiment 1, the embodiment adopts a micro-electromechanical system driven mirror array structure and integrates a wavelength selection switch function module, so that the optical switch matrix has high-precision wavelength level scheduling capability and low insertion loss characteristics, and the flexibility of optical channel reconstruction and the overall spectral utilization efficiency of the system are significantly improved.

[0032] Embodiment 3

[0033] The optical network operation system of an intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix, and an optical channel resource management platform based on a B / S architecture; the optical network operation terminal is fixedly arranged at an optical network node position, detects optical signal power values in real time, and transmits monitoring data to the central management platform through a dedicated communication link; after receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs optical channel routing optimization instructions by the self-adaptive routing algorithm module; a control port of the optical switch matrix is connected to an instruction output end of the central management platform through a signal line, switches an optical signal physical path according to the routing optimization instructions, is fixedly connected to an optical transmitting device at an input end, and is fixedly connected to an optical receiving device at an output end; the optical channel resource management platform comprises a Web server, a database, an inference layer based on a graph neural network, and an OPM unit embedded with a low-reflectivity fiber grating; the Web server provides a webpage service interface through an HTTP protocol, and a user logs in the system to perform an optical channel resource allocation operation after inputting a unique identity credential; the inference layer based on the graph neural network is arranged inside the Web server, is used for topology-aware inference on an optical channel resource allocation request, and generates a resource scheduling suggestion; the OPM unit embedded with the low-reflectivity fiber grating is fixedly integrated in a front-end sensing module of the optical channel resource management platform, is used for collecting wavelength, power, and reflection characteristic data of the optical channel in real time, and transmits the collection results to the database for calling by the inference layer.

[0034] Compared with the embodiment 1, the embodiment introduces an inference layer based on a graph neural network and an OPM unit embedded with a low-reflectivity fiber grating, realizes high-precision sensing of an optical channel state and intelligent resource scheduling driven by a topology structure, and improves the accuracy of optical channel allocation and the network fault prediction capability.

[0035] Embodiment 4:

[0036] The optical network operation system of intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix and an optical channel resource management platform based on B / S architecture; the optical network operation terminal is fixedly arranged at the position of the optical network node, detects the optical signal power value in real time and transmits the monitoring data to the central management platform through a dedicated communication link; after receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs an optical channel routing optimization instruction by the self-adaptive routing algorithm module; the self-adaptive routing algorithm module comprises a multilayer logic module, which is sequentially composed of a reinforcement learning mechanism, a database service layer, a Web application service layer and a communication middleware layer, wherein the reinforcement learning mechanism is used to dynamically adjust the routing strategy according to historical optical channel performance data, the database service layer is used to store and call network state data, the Web application service layer is used to provide an algorithm configuration interface, and the communication middleware layer is used to realize data interaction with the central management platform; the control port of the optical switch matrix is connected to the instruction output end of the central management platform through a signal line, switches the physical path of the optical signal according to the routing optimization instruction, is fixedly connected to the optical transmitting device at the input end and is fixedly connected to the optical receiving device at the output end; the optical channel resource management platform is composed of a Web server and a database, the Web server provides a Web service interface through the HTTP protocol, and a user logs in the system to execute optical channel resource allocation operation after inputting a unique identity credential.

[0037] Compared with example 1, the embodiment integrates the reinforcement learning mechanism, the database service layer, the Web application service layer and the communication middleware layer in the self-adaptive routing algorithm module, so that the routing optimization process has dynamic learning and adaptive ability, and the recovery speed and resource scheduling precision of the optical network in the complex fault or load change scene are improved.

[0038] Example 5:

[0039] An intelligent control technology-based optical network operation and maintenance system includes an optical network operation and maintenance terminal, a central management platform, an adaptive routing algorithm module, an optical switch matrix, and an optical channel resource management platform based on a B / S architecture. The optical network operation and maintenance terminal is fixedly deployed at optical network node locations, real-time monitoring of optical signal power values, and transmission of monitoring data to the central management platform via a dedicated communication link. Upon receiving the monitoring data, the central management platform immediately performs network topology analysis and outputs optical channel routing optimization commands. The control port of the optical switch matrix is ​​connected to the command output terminal of the central management platform via a signal line, switching the physical path of the optical signal according to the routing optimization commands. Its input is fixedly connected to an optical transmitting device, and its output is fixedly connected to an optical receiving device. The optical switch matrix integrates MEMS micromirrors and is equipped with a spare fiber core preheating unit and a port alignment calibration unit. The spare fiber core preheating unit performs constant-temperature preheating of the spare fiber core in standby mode, and the port alignment calibration unit periodically calibrates the spatial alignment position between the MEMS micromirrors and the optical channel ports. The optical channel resource management platform consists of a web server and a database. The web server provides a web service interface via the HTTP protocol, and users log in to the system after entering a unique identity credential to perform optical channel resource allocation operations.

[0040] Compared with Example 1, this example integrates MEMS micromirrors into the optical switch matrix and adds a preheating unit for the equipment fiber core and a port alignment calibration unit, which effectively improves the response speed and alignment accuracy of optical path switching, reduces insertion loss caused by temperature fluctuations or mechanical drift, and enhances the stability and availability of the system in high-reliability optical network operation and maintenance scenarios.

[0041] Example 6:

[0042] The optical network operation system of an intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix and an optical channel resource management platform based on B / S architecture; the optical network operation terminal is fixedly arranged at the position of an optical network node, detects the optical signal power value in real time and transmits the monitoring data to the central management platform through a dedicated communication link; after receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs an optical channel routing optimization instruction by the self-adaptive routing algorithm module; the control port of the optical switch matrix is connected to the instruction output end of the central management platform through a signal line, switches the physical path of the optical signal according to the routing optimization instruction, is fixedly connected to the optical transmitting device at the input end and is fixedly connected to the optical receiving device at the output end; the optical channel resource management platform comprises a Web server, a database, an OTDR module, a wavelength tunable test probe array and a communication middleware layer; the Web server provides a webpage service interface through the HTTP protocol, and a user logs in the system to execute an optical channel resource allocation operation after inputting a unique identity credential; the OTDR module and the wavelength tunable test probe array are integrated in the optical channel resource management platform, and the communication middleware layer is arranged between the Web server and the OTDR module and the wavelength tunable test probe array, supports parallel sampling of multiple wavelength channels, writes the sampling data into the database in real time and calls the sampling data by the Web server for display.

[0043] Compared with embodiment 1, the embodiment integrates the OTDR module and the wavelength tunable test probe array in the optical channel resource management platform, configures the communication middleware layer supporting parallel sampling of multiple wavelength channels, realizes high-precision and multi-dimensional real-time sensing of the physical layer state of the optical channel, and significantly improves the fault positioning accuracy and the wavelength resource scheduling efficiency.

[0044] Embodiment 7:

[0045] The optical network operation system of intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix and an optical channel resource management platform based on B / S architecture. The optical network operation terminal is fixedly arranged at the position of the optical network node, and a fiber core interface module for non-interference detection in the service optical channel is integrated in the optical network operation terminal. The fiber core interface module is directly coupled to the main fiber core of the service optical channel, and detects the optical signal power value in real time and transmits the monitoring data to the central management platform through a dedicated communication link. After receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs an optical channel routing optimization instruction. The control port of the optical switch matrix is connected to the instruction output end of the central management platform through a signal line, and switches the physical path of the optical signal according to the routing optimization instruction. The input end of the optical switch matrix is fixedly connected to the optical transmitting device, and the output end is fixedly connected to the optical receiving device. The optical channel resource management platform is composed of a Web server and a database. The Web server provides a webpage service interface through the HTTP protocol. After a user inputs a unique identity credential, the user logs in the system to execute the optical channel resource allocation operation.

[0046] Compared with the original embodiment 1, the embodiment adds a fiber core interface module in the optical network operation terminal, realizes non-interference detection of the optical signal in the service optical channel, avoids interruption or interference to normal service transmission caused by the traditional detection method, and improves the real-time performance and service continuity of the optical network operation.

[0047] Embodiment 8:

[0048] The optical network operation system of the intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix, an optical channel resource management platform based on B / S architecture, and a sub-domain control plane based on Brillouin optical time domain reflection architecture. The optical network operation terminal is fixedly arranged at the position of the optical network node, detects the optical signal power value in real time, and transmits the monitoring data to the central management platform through a dedicated communication link. After receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs an optical channel routing optimization instruction by the self-adaptive routing algorithm module. The control port of the optical switch matrix is connected to the instruction output end of the central management platform through a signal line, switches the physical path of the optical signal according to the routing optimization instruction, is fixedly connected to the optical transmitting device at the input end, and is fixedly connected to the optical receiving device at the output end. The optical channel resource management platform is composed of a Web server and a database. The Web server provides a web service interface through the HTTP protocol. After a user inputs a unique identity credential, the user logs in the system to execute the optical channel resource allocation operation. The sub-domain control plane is constructed based on the Brillouin optical time domain reflection architecture, and comprises a local decision layer and a central coordination layer. The local decision layer is arranged at each optical network node and is integrated with the optical network operation terminal, is used for sensing the state of the optical fiber link in real time based on the Brillouin scattering signal and executing local routing fine adjustment, and the central coordination layer is integrated in the central management platform, is used for collecting the sensing data of each local decision layer and coordinating the consistency of the network routing strategy.

[0049] Compared with the embodiment 1, the sub-domain control plane based on the Brillouin optical time domain reflection architecture is introduced in the embodiment, the high-precision real-time sensing of the physical layer state of the optical fiber link is realized, the millisecond-level routing fine adjustment is completed at the local decision layer, the consistency of the control strategy of the whole network is ensured by the central coordination layer, and the response speed and the recovery ability of the optical network to the physical layer abnormalities such as fiber degradation and microbending loss are significantly improved.

[0050] Embodiment 9:

[0051] The optical network operation system of an intelligent control technology comprises an optical network operation terminal, a central management platform, a self-adaptive routing algorithm module, an optical switch matrix, and an optical channel resource management platform based on B / S architecture. The optical network operation terminal is fixedly arranged at the position of an optical network node, detects the power value of an optical signal in real time, and transmits monitoring data to the central management platform through a dedicated communication link. After receiving the monitoring data, the central management platform immediately executes network topology analysis and outputs an optical channel routing optimization instruction. The self-adaptive routing algorithm module is constructed based on a reinforcement learning model and establishes a bidirectional closed-loop feedback mechanism with a cable resource database. The cable resource database stores physical parameters, historical fault records, and available bandwidth information of optical cables. The self-adaptive routing algorithm module generates a routing strategy according to real-time monitoring data and feeds back the strategy execution result to the cable resource database to update the resource state. The cable resource database also provides constraint conditions to the self-adaptive routing algorithm module for the next round of strategy generation. The control port of the optical switch matrix is connected to the instruction output end of the central management platform through a signal line, switches the physical path of the optical signal according to the routing optimization instruction, and is fixedly connected to the optical transmitting device at the input end and to the optical receiving device at the output end. The optical channel resource management platform is composed of a Web server and a database. The Web server provides a web service interface through the HTTP protocol. After inputting a unique identity credential, a user logs in to the system to perform an optical channel resource allocation operation.

[0052] Compared with Embodiment 1, this embodiment introduces a decision mechanism based on a reinforcement learning model into the self-adaptive routing algorithm module and establishes a bidirectional closed-loop feedback mechanism with the cable resource database, so that the system can dynamically learn the change law of the network operation state, continuously optimize the routing strategy, improve the accuracy of optical channel switching and the efficiency of resource scheduling, and enhance the adaptive response capability to the degradation or sudden failure of optical cable resources.

[0053] Embodiment 10:

[0054] An intelligent control technology-based optical network operation and maintenance system includes an optical network operation and maintenance terminal, a central management platform, an adaptive routing algorithm module, an optical switch matrix, and a B / S architecture-based optical channel resource management platform. The optical network operation and maintenance terminal is fixedly deployed at optical network nodes, continuously monitoring optical signal power values ​​and transmitting monitoring data to the central management platform via a dedicated communication link. Upon receiving the monitoring data, the central management platform immediately performs network topology analysis and outputs optical channel routing optimization commands. The control port of the optical switch matrix is ​​connected to the command output of the central management platform via a signal line, switching the physical path of the optical signal according to the routing optimization commands. Its input is fixedly connected to an optical transmitting device, and its output is fixedly connected to an optical receiving device. The optical channel resource management platform consists of a web server and a database. The web server provides a web service interface via the HTTP protocol. Users log in to the system after entering a unique identity credential to perform optical channel resource allocation operations. The database stores a user role information table, which includes a user identifier field and corresponding role permission fields. After a user logs in, the web server queries the user role information table in the database based on the user identifier and dynamically generates operable optical channel resource management interface elements based on the obtained role permission fields, realizing a role-based access control model.

[0055] Compared with Example 1, this example sets up a user role information table in the database, and the web server dynamically generates interface operation elements based on the role permission field in the table after the user logs in. This achieves fine-grained control over the operation permissions of different users, effectively prevents unauthorized operations, and improves the security and compliance of optical channel resource management.

[0056] The above description is merely a preferred embodiment of the present invention; however, the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and its improved concepts, should be covered within the scope of protection of the present invention.

Claims

1. An intelligent control technology-based optical network operation and maintenance system, comprising a main station optical network operation and maintenance system intelligent platform and multiple optical network operation and maintenance control terminals deployed at remote stations, characterized in that: It includes adaptive routing algorithms, optical switch matrices, and a B / S architecture-based optical channel resource management platform.

2. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical switch matrix adopts a mirror array structure driven by a microelectromechanical system and integrates a wavelength selective switch function module.

3. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical channel resource management platform integrates an inference layer based on a graph neural network and an OPM unit with embedded low-reflectivity fiber Bragg gratings.

4. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The adaptive routing algorithm includes a multi-layered logical module, which comprises a reinforcement learning mechanism, a database service layer, a web application service layer, and a communication middleware layer.

5. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical switch matrix includes MEMS micromirrors and is equipped with a spare fiber core preheating and port alignment calibration mechanism.

6. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical channel resource management platform integrates an OTDR module and a wavelength-tunable test detector array, and is configured with a communication middleware layer that supports parallel sampling of multiple wavelength channels.

7. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical network operation and maintenance terminal is equipped with a fiber core interface module for non-disruptive detection in the service optical channel.

8. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: It includes a domain control plane based on the Brillouin optical time-domain reflectometry architecture, which comprises a local decision-making layer and a central coordination layer.

9. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The adaptive routing algorithm is based on a reinforcement learning model and establishes a two-way closed-loop feedback mechanism with the optical cable resource database.

10. The optical network operation and maintenance system with intelligent control technology according to claim 1, characterized in that: The optical channel resource management platform based on the B / S architecture adopts a role-based access control model.