Long-distance transmission network routing calculation method and device, equipment and storage medium
By building a digital twin model of long-distance transmission network, the problem of low routing computing efficiency and single types of routing computing in the existing technology is solved, and more accurate and efficient routing computing is achieved, and routing risks are predicted.
Patent Information
- Application Number
- CN202510116833.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-06-24
AI Technical Summary
The existing long-distance network routing computing system lacks the end-to-end display of the network dielectric layer core core, the calculation efficiency is low, the real-time query cannot be found, and the routing computing types are single, and the results are single.
By building a digital twin model of the transmission network, we can obtain basic resource carrying data, identify scene data, and splice it to form a full amount of resource topology data, realize intuitive evaluation and optimization of network paths, and predict routing risks.
Improve the accuracy and real-timeness of routing computing, can detect the integrity of routing paths, identify potential risks, and optimize network paths.
Smart Images
Figure CN120200963A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of network communication technologies, and in particular, to a long-distance transmission network routing calculation method, device, equipment, and storage medium. Background Art
[0002] The long-distance network resource management system manages international, inter-provincial primary, intra-provincial secondary, and overseas company long-distance network resources. The routing query subsystem is a part of the long-distance network resource management system, where the system route refers to the upper-layer optical cable section fiber cores or olp fiber cores occupied by the entire wavelength division multiplexing system, SDH system, and TMUX system. The current system routing calculation has the following deficiencies: The current routing calculation has the following deficiencies: There is a lack of end-to-end display of the concatenation relationship of the long-distance transmission network in the medium layer fiber cores.
[0003] When performing routing calculations, it is necessary to scroll up layer by layer. The original relationship storage and implementation methods are slow and inefficient, and real-time queries cannot be performed.
[0004] The types of routing calculations supported are relatively single and not easy to expand.
[0005] The routing result display is single and can only be displayed in text form. Summary of the Invention
[0006] Object of the Invention: To propose a long-distance transmission network routing calculation method, and further propose a device for implementing this method, as well as equipment and a storage medium equipped with this management method, aiming to improve the accuracy and real-time performance of routing calculations, and detect the integrity of the routing path and discover possible risks during routing calculations, so as to solve the above problems existing in the prior art.
[0007] In the first aspect of the present invention, a long-distance transmission network routing calculation method is proposed, and the steps are as follows: Obtain the basic resource bearing data of the transmission network; Based on the basic resource bearing data, construct a digital twin model of the transmission network, use the digital twin model to detect the network direction and the next-hop node, and identify the scenario data according to the composition characteristics of the network; Use the basic resource bearing data and the identified scenario data to splice and form the full-scale resource topology data; When performing routing topology, if it is found that there is an inaccessible situation, locate the specific paragraph and feedback the problem reason for the network administrator to re-plan the network path.
[0008] In a further embodiment of the first aspect, the scenario data includes OLP, OCP, optical wavelength division 1+1 protection, SDH 1+1 protection, SDH two-fiber multiplex section ring protection, SDH four-fiber multiplex section ring protection, and SDH path ring protection.
[0009] In a further embodiment of the first aspect, the basic resource bearing data is used to reflect the physical lines of the transmission network, and the physical lines include optical cables, leased fibers, and leased wavelengths; When the long-distance transmission network directly occupies an optical cable, the system section of the long-distance transmission network directly occupies the fiber core of the optical cable; When the long-distance transmission network occupies an OLP system, the OLP system directly occupies the optical fiber.
[0010] In a further embodiment of the first aspect, the basic resource bearing data and the identified scenario data are spliced to form the full-scale resource topology data, and the splicing rules include: The optical multiplex section route is formed by connecting the head and tail of the optical multiplex section, and the optical multiplex section is the part between two adjacent optical multiplexing devices; The route format is: Site A - Site B - Site C...... Site Z, where the site name refers to the site where the wavelength division multiplexing device is installed; Insert the allocated wavelength number, unallocated wavelength number, and TMUX wavelength number of the wavelength division inserted between two points; The branch line route is represented by "branch line + branch line number", and multiple branch line routes are separated by ";".
[0011] In a further embodiment of the first aspect, the system route of the long-distance transmission network is described in the following format: When directly occupying an optical cable, the format is: Site A 《Optical cable name + / + Core symbol + Core number》 Site B...... Site Z; When directly occupying an OLP, the format is: Site A 《OLP name
Primary: Optical cable name + / + Core symbol + Core number; Spare: Optical cable name + / + Core symbol + Core number
[0012] In a further embodiment of the first aspect, the core route of the long-distance transmission network is described in the following format: When directly occupying an optical cable, the format is: Site A 《Optical cable name + / + Core symbol + Core number》 Site B...... Site Z; When directly occupying an OLP, the format is: Site A 《OLP name
Primary: Site A 《Optical cable name + / + Core symbol + Core number》 Site B
[0013] In a further embodiment of the first aspect, a long-distance transmission network routing calculation method proposed by the present invention further includes: Predicting routing risks based on the resource topology data spliced to form the full amount. This process specifically includes: Importing the resource topology data spliced to form the full amount, historical traffic data, and network event data into the digital twin model; the digital twin model outputs path integrity, performance evaluation results, and anomaly monitoring results; The path integrity check includes whether there are interruptions or congestions; The performance evaluation includes evaluating the delay and packet loss rate of the current path; The anomaly monitoring includes identifying metric changes outside the normal range as precursors to faults.
[0014] In the second aspect of the present invention, a long-distance transmission network routing calculation device is proposed. The device includes an acquisition module, a model construction module, a scenario recognition module, a splicing module, and an analysis module.
[0015] The acquisition module is used to obtain the basic resource bearing data of the transmission network.
[0016] The model construction module constructs a digital twin model of the transmission network based on the basic resource bearing data, and uses the digital twin model to detect the network direction and the next-hop node.
[0017] The scenario recognition module identifies scenario data based on the network direction and the next-hop node output by the model construction module according to the composition characteristics of the network.
[0018] The splicing module is used to splice the basic resource bearing data and the identified scenario data to form the full amount of resource topology data.
[0019] When performing routing topology, if it is found that there is an inaccessible situation, the analysis module locates the specific paragraph and feedbacks the problem reason for the network administrator to re-plan the network path.
[0020] In the third aspect of the present invention, an electronic device is proposed. The electronic device includes a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the long-distance transmission network routing calculation method described in the first aspect is implemented.
[0021] In the fourth aspect of the present invention, a computer-readable storage medium is proposed. At least one executable instruction is stored in the storage medium. When the executable instruction runs on the electronic device, the electronic device executes the long-distance transmission network routing calculation method described in the first aspect. Beneficial effects
[0022] The present invention creates a virtual simulation environment highly consistent with the actual communication network by constructing a digital twin model of the transmission network, realizing the intuitive evaluation and optimization of network paths.
[0023] Based on the digital twin model, the present invention automatically identifies the protection modes of the communication network: OLP, OCP, wavelength division 1+1 protection, SDH 1+1 protection, SDH two-fiber multiplex section ring protection, SDH four-fiber multiplex section ring protection, and SDH path ring protection.
[0024] Based on the digital twin model, the present invention traverses the topology of the communication network, thereby forming the routes of the long-distance transmission network, and can identify the defects in the routes and predict the possible risks of the transmission network. Description of the Drawings
[0025] Figure 1 It is a model diagram of the long-distance transmission network in the embodiment.
[0026] Figure 2 It is a topology diagram of data bearing and transmission in the embodiment.
[0027] Figure 3 It is a schematic flow diagram of the long-distance transmission network routing calculation method in the embodiment. Detailed Embodiment
[0028] In the following description, a large number of specific details are given to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, some well-known technical features are not described to avoid confusion with the present invention.
[0029] Before elaborating on this embodiment, some terms that will appear later are first explained.
[0030] DWDM (Dense Wavelength Division Multiplexing): It refers to a fiber optic data transmission technology that uses the wavelengths of lasers to transmit data in the fiber in a parallel or serial manner according to bit positions.
[0031] SDH (Synchronous Optical Network): It is an integrated information transmission network that integrates multiplexing, line transmission, and switching functions and is operated by a unified network management system.
[0032] AI (Artificial Intelligence): It is a branch of computer science aiming to explore, develop theories, methods, and technologies for simulating, extending, and expanding human intelligence. The research fields of AI are extensive, including but not limited to robotics, natural language processing, speech recognition, image recognition, expert systems, etc.
[0033] The present invention conducts digital twin modeling on the transmission network, which can accurately simulate the transmission network status through real-time data and model updates, providing a data model basis for routing calculation. Based on the digital twin model, AI can intelligently detect the network direction and the next-hop node, and determine the protection scenarios of the system according to the composition characteristics of each network: OLP, OCP, wavelength division 1+1 protection, SDH 1+1 protection, SDH two-fiber multiplex section ring protection, SDH four-fiber multiplex section ring protection, SDH channel ring protection, and further distinguish the primary and standby routes. When performing routing topology, if it is found that there is an inaccessible situation, it will locate to the specific paragraph and feedback the problem reason for the network administrator to re-plan the network path. Moreover, when performing routing topology, based on the training of the AI large model, it can predict whether the routing plan is reasonable and feedback the possible risks of the route.
[0034] Occupancy calculation rules: Optical cables, leased fibers, and leased wavelengths constitute the physical lines of the transmission network, and the fibers in the optical cables carry service functions.
[0035] Scenario 1: The long-distance transmission network directly occupies the optical cable, and the system section of the long-distance transmission network directly occupies the fiber cores of the optical cable.
[0036] Scenario 2: The long-distance transmission network occupies the OLP system, and the OLP system directly occupies the fiber.
[0037] Routing splicing rules: Long-distance transmission network multiplexing route
Definition
Format
[0038] Insert the allocated wavelength number, unallocated wavelength number, and TMUX wavelength number of wavelength division between two points.
[0039] Branch line: If there is a branch line name, it is the branch line name; if there is no branch line name, it is "branch line + branch line serial number" When there are more than two branch lines in an optical cable, it is shown and known.
[0040] Multiple branch line routes are separated by ";".
Example
Definition
[0041]
Format
[0042] 2. Directly occupy the OLP: Station A 《OLP Name
Primary: Optical Cable Name + / + Core Symbol (F) + Core Number Secondary: Optical Cable Name + / + Core Symbol (F) + Core Number
Example
[0043] 2. Directly occupy OLP: Hongshan Road, Wuhan 《Shanghai-Wuhan Optical Cable F5&6》; Baofeng Road, Wuhan 《Shanghai-Wuhan Optical Cable F5&6》; Yangluo, Xinzhou 《Shanghai-Wuhan Optical Cable F5&6》; Xinzhou 《Shanghai-Wuhan Optical Cable F5&6》; Shengli Street, Huanggang Core route of long-distance transmission network (media route)
Definition
[0044]
Format
[0045] 2. Directly occupy OLP (display the intermediate point of the optical cable): Site A 《OLP name
Primary: Site A 《Optical cable name + / + Core symbol + Core number》Site B
Primary: Station A 《Optical Cable Name + / + Fiber Core Symbol + Fiber Core Number》Station B
Primary: Station A 〖Terminal Name〗 《Optical Cable Name + / F + Fiber Core Serial Number》 〖Terminal Name〗》 Station B; Spare: Station A 〖Terminal Name〗 《Optical Cable Name + / F + Fiber Core Serial Number》 〖Terminal Name〗》 Station B
[0046] Model construction: According to the distance between input nodes of the deep learning model, bandwidth utilization rate, historical fault records, etc. Training process: Use the historical data set to train the model to ensure that the model can accurately predict the path status.
[0047] Status monitoring and feedback: Monitor the path status based on the output of the model, including: Path integrity: Check for interruptions or congestion situations.
[0048] Performance evaluation: Evaluate performance metrics such as the latency and packet loss rate of the current path.
[0049] Abnormality monitoring: Identify changes in metrics that exceed the normal range, which may be precursors to faults.
[0050] All the processes of the long-distance transmission network routing calculation method disclosed in the above embodiments can be embedded in an electronic device for operation. The electronic device includes a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete mutual communication through the communication bus. The memory is used to store at least one executable instruction, and the executable instruction causes the processor to execute all the process steps of the long-distance transmission network routing calculation method disclosed in the above embodiments, which will not be elaborated here.
[0051] The electronic device can also communicate with one or more external devices (such as a keyboard, a pointing device, a Bluetooth device, etc.), and can also communicate with one or more devices that enable a user to interact with the electronic device, and / or communicate with any device that enables the electronic device to communicate with one or more other computing devices (such as a router, a modem, etc.). This kind of communication can be carried out through the input / output (I / O) interface. And, the electronic device can also communicate with one or more networks (such as a local area network LAN, a wide area network WAN, and / or a public network, such as the Internet) through a network adapter. The network adapter communicates with other modules of the electronic device through the bus. It should be understood that although not shown in the figure, other hardware and / or software modules can be combined with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.
[0052] It should be noted that the above embodiments can be implemented in whole or in part by software. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wired (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, or a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.
[0053] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification. Although the present invention has been shown and described with reference to specific preferred embodiments, it should not be construed as a limitation of the present invention itself. Various changes can be made to it in form and detail without departing from the spirit and scope of the present invention defined by the appended claims.
Claims
1. A long-distance transmission network routing calculation method, characterized in that: The steps include: Obtain the basic resource bearing data of the transmission network; Building a digital twin model of the transmission network based on the basic resource bearing data, using the digital twin model to detect the network direction and next hop node, and identifying scenario data according to the composition characteristics of the network; The basic resource bearing data and the identified scene data are used to form a complete amount of resource topology data; When conducting routing topology, if any unreachable situation is found, the specific section will be located and the cause of the problem will be fed back so that the network administrator can re-plan the network path.
2. A long distance transmission network routing calculation method according to claim 1, characterized in that: The scenario data includes OLP, OCP, wavelength division 1+1 protection, SDH 1+1 protection, SDH two-fiber multiplex section ring protection, SDH four-fiber multiplex section ring protection and SDH channel ring protection.
3. A long distance transmission network routing calculation method according to claim 1, characterized in that: The basic resource bearer data is used to reflect the physical lines of the transmission network, and the physical lines include optical cables, leased optical fibers and leased wavelengths; When the long-distance transmission network directly occupies the optical cable, the system segment of the long-distance transmission network is directly occupied on the fiber core of the optical cable; When the long-distance transmission network is occupied by the OLP system, the OLP system is directly occupied by the optical fiber.
4. A long distance transmission network routing calculation method according to claim 2, characterized in that: The basic resource bearing data and the identified scene data are spliced to form the full amount of resource topology data. The splicing rules include: The optical multiplexing section route is formed by connecting the end of the optical multiplexing section. The optical multiplexing section is the part between two adjacent optical multiplexing devices. The routing format is: Site A-Site B-Site C...Site Z, where the site name refers to the site where the wavelength division multiplexing equipment is installed; Insert the allocated wave number, unallocated wave number and TMUX wave number of wavelength division between two points; The branch line route is represented by "branch line + branch line number", and multiple branch lines are separated by ";".
5. A long distance transmission network routing calculation method according to claim 3, characterized in that: The system routing of the long-distance transmission network is described in the following format: When directly occupying the optical cable, the format is: Site A <optical cable name + / +fiber core symbol + fiber core number> Site B...Site Z; When directly occupying OLP, the format is: Site A <OLP name [Main use: optical cable name + / + fiber core symbol + fiber core number; Backup: Optical cable name + / +fiber core symbol + fiber core number]》Site B...Site Z.
6. A long distance transmission network routing calculation method according to claim 3, characterized in that: The core routing of the long-distance transmission network is described in the following format: When directly occupying the optical cable, the format is: Site A <optical cable name + / +fiber core symbol + fiber core number> Site B...Site Z; When the OLP is directly occupied, the format is: Site A <OLP name [main use: Site A <optical cable name + / +fiber core symbol + fiber core number> Site B]> Site B......Site Z.
7. A long distance transmission network routing calculation method according to claim 1, characterized in that: It also includes predicting routing risks based on the spliced resource topology data; specifically, it includes: Import the spliced resource topology data, historical traffic data, and network event data into the digital twin model; the digital twin model outputs path integrity, performance evaluation results, and abnormal monitoring results; The path integrity check includes whether there is any interruption or congestion; The performance evaluation includes evaluating the delay and packet loss rate of the current path; The abnormality monitoring includes identifying indicator changes that exceed the normal range as a precursor to failure.
8. A long-distance transmission network routing calculation device, characterized in that: include: The acquisition module is used to obtain the basic resource bearing data of the transmission network; A model building module, which builds a digital twin model of the transmission network based on the basic resource bearing data, and uses the digital twin model to detect the network direction and next hop node; A scene recognition module, based on the network direction and next-hop node output by the model building module, identifies scene data according to the composition characteristics of the network; A splicing module, used to splice the basic resource bearing data and the identified scene data to form a full amount of resource topology data; When analyzing the routing topology, if an unreachable situation is found, the analysis module will locate the specific section and feedback the cause of the problem so that the network administrator can re-plan the network path.
9. An electronic device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the long-distance transmission network routing calculation method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction. When the executable instruction is executed on the electronic device, the electronic device executes the long-distance transmission network routing calculation method according to any one of claims 1 to 7.