Optical network simulation deduction and intelligent decision-making method and system based on multi-dimensional modeling

Abstract

The invention relates to an optical network simulation deduction and intelligent decision-making method and system based on multi-dimensional modeling. The system comprises a multi-dimensional modeling module, a visual arrangement module, an optical network analysis module, an environment deduction module and a network situation presentation module. The method has the advantages that unified modeling, arrangement, simulation and dynamic optimization are carried out on multi-dimensional objects such as equipment, links and services in a complex optical communication network, a real communication network and a virtual simulation environment are closely fused, and through core capabilities such as model arrangement, network evaluation, battlefield deduction and topology analysis, the real communication network and the virtual simulation environment can be optimized. And a user is helped to realize simulation deduction and intelligent decision making from a device level to a network level.

Description

Technical Field

[0001] This invention relates to the field of optical network device simulation and deduction, specifically to an optical network simulation and deduction and intelligent decision-making method and system based on multi-dimensional modeling. Background Technology

[0002] With the increasing complexity of optical transmission systems and communication networks, the diversification of communication equipment forms, and the growing complexity of network structures, problems such as reduced reliability and survivability, and the wide impact of failures have arisen. Traditional methods relying solely on experience and theoretical analysis for communication system operation and reliability assessment are no longer adequate to meet development needs. The model of relying on experience and manual analysis throughout the entire construction and use of information systems faces bottlenecks, making it difficult to assess network robustness, resilience, and fault simulation from a design perspective, and to effectively verify the network's resilience. Therefore, this paper proposes a multi-dimensional modeling-based optical network simulation and intelligent decision-making method and system. This method diagnoses, analyzes, predicts, and extrapolates the mirrored digital model of the optical network, thereby optimizing decision-making and control throughout the entire lifecycle of the optical network. This plays a crucial role in achieving intelligent control and coordination between the physical entity and the digital model of the optical network. Summary of the Invention

[0003] To address the shortcomings of traditional optical network simulation and deduction methods, such as insufficient compatibility with heterogeneous devices, limited visualization and orchestration capabilities, insufficient depth of optical network analysis, weak network resilience, and lack of situational awareness, this invention provides an optical network simulation and deduction and intelligent decision-making method and system based on multi-dimensional modeling.

[0004] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A method for optical network simulation and intelligent decision-making based on multi-dimensional modeling, comprising the following steps:

[0005] Step 1: By initializing the multi-dimensional modeling module, visualization and orchestration module, optical network analysis module, environment simulation module, and network situation presentation module required for optical network simulation and deduction, a unified data bus and inter-module communication interface are established to obtain a basic support system that can support the subsequent collaborative work of modules.

[0006] Step 2: In the multi-dimensional modeling module obtained in Step 1, import the three-dimensional structural data and technical parameters of the heterogeneous equipment to obtain a high-fidelity digital twin model of the heterogeneous equipment.

[0007] Step 3: Based on the high-fidelity digital twin model obtained in Step 2, create a rack and configure the board parameters according to the rules to obtain a fully configured digital model of the device;

[0008] Step 4: Based on the equipment digital model obtained in Step 3, perform optical cable modeling and service definition to obtain the optical cable physical model and service model;

[0009] Step 5: Based on the high-fidelity digital twin model obtained in Step 2, the board configuration parameters obtained in Step 3, and the optical cable physical model and service model obtained in Step 4, a virtual-real synchronized digital model is obtained by connecting to the real equipment through the north interface.

[0010] Step 6: Based on the visualization orchestration module obtained in Step 1 and the virtual-real synchronization data obtained in Step 5, start the module and load the template library to obtain a graphical drag-and-drop operation environment.

[0011] Step 7: Based on the operating environment obtained in Step 6, drag and drop the device model and create an optical link to obtain the basic network topology;

[0012] Step 8: Based on the basic network topology obtained in Step 7 and the optical cable parameter requirements in Step 4, configure the link physical parameters to obtain the topology after parameter configuration;

[0013] Step 9: Based on the business model in Step 4, the basic network topology obtained in Step 7, and the parameter configuration topology obtained in Step 8, bind the business and trigger planning to obtain the business binding topology and planning request.

[0014] Step 10: Based on the basic network topology obtained in Step 7 and the planning request in Step 9, collect and integrate resource data to obtain a global network view;

[0015] Step 11: Based on the business requirements in Step 4 and the global network view obtained in Step 10, calculate the path using the improved algorithm to obtain the optimal main path that meets the business requirements.

[0016] Step 12: Based on the protection requirements in Step 4, the global network view in Step 10, and the optimal primary path obtained in Step 11, calculate the backup path to obtain at least two non-overlapping or partially overlapping backup paths.

[0017] Step 13: Based on the operating environment obtained in Step 6, the optimal primary path obtained in Step 11, and the backup path obtained in Step 12, display the path and support adjustment to obtain the confirmed primary and backup paths.

[0018] Step 14: Based on the virtual-physical synchronization digital model obtained in Step 5 and the confirmed primary / backup path obtained in Step 13, generate and issue instructions to obtain the physical service channel and synchronization digital model.

[0019] Step 15: Based on the synchronization mechanism in Step 5, the operating environment obtained in Step 6, and the physical business channel and synchronization digital model obtained in Step 14, refresh the presentation status and obtain a real-time status view.

[0020] Step 16: Based on the physical service channels obtained in Step 14 and the real-time situation view obtained in Step 15, display the traffic and support querying to obtain a situation view with traffic animation and query functions.

[0021] Step 17: Based on the environment simulation module of Step 1, the physical service channel obtained in Step 14, and the situation view obtained in Step 15, simulate the fault and alarm to obtain the fault scenario and alarm information.

[0022] Step 18: Based on the optical network analysis module in Step 1, the global network view obtained in Step 10, the backup path obtained in Step 12, and the fault scenarios and alarm information obtained in Step 17, the backup path is activated in response to the fault, and the fault recovery status is obtained.

[0023] Step 19: Based on the operating environment obtained in Step 6, the real-time situation view obtained in Step 15, and the fault recovery status obtained in Step 18, dynamically display the switching process and obtain a switching visualization view.

[0024] Step 20: Based on the refresh mechanism in step 15 and the switching visualization view obtained in step 19, update the topology and support querying, thus obtaining the functions of updating the topology and querying resources.

[0025] Step 21: Based on the network situation presentation module in Step 1, the optical cable parameters in Step 4, and the updated topology obtained in Step 20, map the geographic map and infer the damage to obtain the geographic inference result.

[0026] Step 22: Based on the extrapolation data from steps 17 to S21, record the process and generate a report to obtain the decision analysis report.

[0027] Based on the above technical solution, the present invention can be further improved as follows:

[0028] Furthermore, in step 2, the three-dimensional structural data and technical parameters of the PTN, SDH, or OTN heterogeneous equipment are imported to obtain a high-fidelity digital twin model of the PTN, SDH, or OTN heterogeneous equipment.

[0029] Furthermore, in step 7, drag and drop the PTN, SDH, or OTN heterogeneous device model and create an optical link.

[0030] A multi-dimensional modeling-based optical network simulation and intelligent decision-making system, used to apply the above method, includes:

[0031] The multidimensional modeling module is used to uniformly model heterogeneous equipment, optical cables and services of PTN, SDH and OTN, create digital twin models of equipment, and realize bidirectional synchronization of virtual and physical data.

[0032] The visual orchestration module provides a drag-and-drop interface for loading devices and link template libraries, supporting rapid topology building, link parameter configuration, and service binding, enabling intuitive network orchestration.

[0033] The optical network analysis module is used to collect network resource data to build a global view, calculate the optimal primary and backup paths for services using improved algorithms, and support network planning and status monitoring.

[0034] The environment simulation module is used to simulate node and link failures, trigger alarms and protection switching, dynamically display the service switching process, and support geographical damage simulation and path recovery analysis.

[0035] The network status presentation module is used to refresh the topology map in real time, identify devices and link status with colors and link thickness, display traffic flow with animations, and support key indicator queries and status monitoring.

[0036] Based on the above technical solution, the present invention can be further improved as follows:

[0037] Furthermore, the multidimensional modeling module creates a 1:1 digital twin model of the device.

[0038] Furthermore, the optical network analysis module uses an improved algorithm to calculate the optimal primary path and at least two backup paths for the service.

[0039] The beneficial effects of this invention are: unified modeling, orchestration, simulation and dynamic optimization of multi-dimensional objects such as devices, links and services in complex optical communication networks; close integration of real communication networks with virtual simulation environments; and through core capabilities such as model orchestration, network evaluation, battlefield simulation and topology analysis, it helps users achieve simulation simulation and intelligent decision-making from the device level to the network level. Attached Figure Description

[0040] Figure 1 This is a schematic flowchart illustrating the method in the embodiment;

[0041] Figure 2 A flowchart for topology visualization and orchestration;

[0042] Figure 3 This is a flowchart for environmental simulation. Detailed Implementation

[0043] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0044] like Figure 1 As shown, a simulation and intelligent decision-making method for optical networks based on multidimensional modeling includes the following steps:

[0045] Step 1: By initializing the multi-dimensional modeling module, visualization and orchestration module, optical network analysis module, environment simulation module, and network situation presentation module required for optical network simulation and deduction, a unified data bus and communication interface between modules are established, resulting in a basic support system that can support the collaborative work of subsequent modules.

[0046] To address the needs of intelligent operation and maintenance and simulation of optical networks, modules for multi-dimensional modeling, visualization orchestration, optical network analysis, environmental simulation, and network status presentation are initialized to ensure that each module has basic operational capabilities. Simultaneously, a unified data bus is constructed, defining communication protocols and data formats between modules to avoid data silos and form an underlying technical support system.

[0047] Step 2: In the multi-dimensional modeling module obtained in Step 1, import the three-dimensional structural data and technical parameters of the PTN, SDH or OTN heterogeneous equipment to obtain a high-fidelity digital twin model of the PTN, SDH or OTN heterogeneous equipment.

[0048] In the multi-dimensional modeling module initialized in step 1, the three-dimensional structural data (external dimensions, frame drawings) and technical parameters (board capacity, rate range) of PTN, SDH, and OTN equipment are imported. The model is constructed using 1:1 restoration technology to fully reproduce the appearance, interface layout, slots, and board types of the equipment, ensuring consistency with the physical equipment.

[0049] Step 3: Based on the high-fidelity digital twin model obtained in Step 2, create a rack and configure the board parameters according to the rules to obtain a fully configured digital model of the device.

[0050] In the multi-dimensional modeling module configuration interface, create a rack structure according to the board rules (such as the designated slot of the main control board), add the main control board, cross-connect board, and service board, set the port type (optical port / electrical port), rate level (100M / 1GE), and protocol stack MPLS-TP / G.709, and complete the device function configuration.

[0051] Step 4: Based on the equipment digital model obtained in Step 3, perform optical cable modeling and service definition to obtain the optical cable physical model and service model.

[0052] In the multidimensional modeling module, optical cable parameters (fiber type G.652 / G.655, length, attenuation coefficient, dispersion) are set to simulate physical characteristics; service type (E1 / STM-1 / 10GE) is defined, and bandwidth (2Mbit / s / 10Gbit / s), QoS level, and protection level are configured to form complete service requirements.

[0053] Step 5: Based on the high-fidelity digital twin model obtained in Step 2, the board configuration parameters obtained in Step 3, and the optical cable physical model and service model obtained in Step 4, a virtual-real synchronized digital model is obtained by connecting to the real equipment through the north interface.

[0054] Integrate the digital models from steps 2 to 4, connect them to the real devices via the NETCONF / YANG interface, and establish a two-way synchronization mechanism. This allows the digital models to obtain data such as device status, port information, and time slot occupancy in real time, and also to issue configuration commands to ensure that the simulation is consistent with the physical network status.

[0055] Step 6: Based on the visualization orchestration module obtained in Step 1 and the virtual-real synchronization data obtained in Step 5, start the module and load the template library to obtain a graphical drag-and-drop operation environment.

[0056] The visualization orchestration module of step 1 is started, the device and link data of step 5 are called, the device template library (including PTN / SDH / OTN templates) and the link template library (including optical cable templates) are loaded, and a drag-and-drop operation interface is provided to provide tools for topology orchestration.

[0057] Step 7: Based on the operating environment obtained in Step 6, drag and drop PTN, SDH, or OTN heterogeneous device models and create optical links to obtain the basic network topology.

[0058] In step 6, select a device from the template library and drag and drop it for deployment. Click on the port to establish a connection. The system automatically detects the port type and speed matching. If they match, a link is created to quickly build a basic topology that conforms to physical rules.

[0059] Step 8: Based on the basic network topology obtained in Step 7 and the optical cable parameter requirements in Step 4, configure the link physical parameters to obtain the topology after parameter configuration.

[0060] In the link properties panel, configure parameters consistent with those required in step 4 (actual optical cable length, connector loss, fusion splice attenuation, dispersion tolerance) to accurately simulate real optical transmission performance.

[0061] Step 9, as follows Figure 2 As shown, based on the business model in step 4, the basic network topology obtained in step 7, and the parameter configuration topology obtained in step 8, the business is bound and planning is triggered to obtain the business binding topology and planning request.

[0062] In the topology flowchart, select the source / destination node, enter the service requirements (type, bandwidth, QoS) from step 4, bind them to the topology in step 8, and send a path planning request to the optical network analysis module.

[0063] Step 10: Based on the basic network topology obtained in Step 7 and the planning request in Step 9, collect and integrate resource data to obtain a global network view.

[0064] The optical network analysis module collects the port status, time slot occupancy rate, link weight, and available bandwidth of the network elements in the topology in step 7 through the SDN controller. After cleaning and integrating, it forms a resource view covering the entire network and supports path calculation.

[0065] Step 11: Based on the business requirements in Step 4 and the global network view obtained in Step 10, calculate the path using the improved algorithm to obtain the optimal main path that meets the business requirements.

[0066] An improved constrained shortest path first algorithm is adopted, which combines time slot continuity, load balancing and fault avoidance constraints, and calculates the optimal main path with the minimum total weight based on the business requirements in step 4.

[0067] Step 12: Based on the protection requirements in Step 4, the global network view in Step 10, and the optimal primary path obtained in Step 11, calculate the backup paths to obtain at least two non-overlapping or partially overlapping backup paths.

[0068] Based on the principle of "no overlap" or "partial overlap with protection", calculate at least two backup paths to ensure that they meet the same bandwidth and QoS constraints as the primary path, thus guaranteeing service reliability.

[0069] Step 13: Based on the operating environment obtained in Step 6, the optimal primary path obtained in Step 11, and the backup path obtained in Step 12, display the path and support adjustment to obtain the confirmed primary and backup paths.

[0070] The visual interface displays the path with different colors (blue solid line for the main path and orange dashed line for the backup path) and light effects, and labels the parameters; users can view details, drag and adjust, and the system verifies in real time to finally confirm the path.

[0071] Step 14: Based on the virtual-physical synchronization digital model obtained in Step 5 and the confirmed primary / backup path obtained in Step 13, generate and issue instructions to obtain the physical service channel and synchronization digital model.

[0072] Generate configuration instructions (including IP, port, and timeslot) categorized by device, and distribute them to network elements through the SDN controller to establish physical service channels; at the same time, update the digital model service status in step 5 to achieve virtual-physical synchronization.

[0073] Step 15: Based on the synchronization mechanism in Step 5, the operating environment obtained in Step 6, and the physical business channels and synchronization digital model obtained in Step 14, refresh the presentation status and obtain a real-time status view.

[0074] The network status presentation module receives the operational data from step 5 via the data bus, refreshes the topology map every second, and uses colors (green for normal / yellow for warning / red for fault) to indicate the status. The link thickness reflects the time slot occupancy rate, providing a visual representation of the overall network status.

[0075] Step 16: Based on the physical service channels obtained in Step 14 and the real-time situation view obtained in Step 15, display the traffic and support querying to obtain a situation view with traffic animation and query functions.

[0076] Traffic flow is simulated using colored particle streams (blue for the main path and orange for the backup path), with speed matching the service rate; users can check the rate, optical power, etc. by clicking on the link, and check the time slot allocation by hovering over the port.

[0077] Step 17: Based on the environment simulation module of Step 1, the physical service channel obtained in Step 14, and the situation view obtained in Step 15, simulate the fault and issue an alarm to obtain the fault scenario and alarm information.

[0078] In the environment simulation module, right-click on a topology node / link and select "Simulate Interruption," which will be marked as flashing red; this will trigger a pop-up alarm (fault type / location / affected services), a list of records, and an audio prompt.

[0079] Step 18: Based on the optical network analysis module in Step 1, the global network view obtained in Step 10, the backup path obtained in Step 12, and the fault scenarios and alarm information obtained in Step 17, the backup path is activated in response to the fault, and the fault recovery status is obtained.

[0080] The optical network analysis module receives fault information, triggers protection switching, queries the backup path status through the SDN controller, prioritizes the use of non-overlapping paths, and issues instructions to transfer service traffic.

[0081] Step 19, as follows Figure 3 As shown, based on the operating environment obtained in step 6, the real-time situation view obtained in step 15, and the fault recovery status obtained in step 18, the switching process is dynamically displayed to obtain a switching visualization view.

[0082] In the visualization interface, the original main path turns into a red dashed line (particles disappear), and the new backup path turns into a green solid line (particles are enhanced). The switching time is displayed in real time, and slow motion / pause observation is supported.

[0083] Step 20: Based on the refresh mechanism in step 15 and the switching visualization view obtained in step 19, update the topology and support querying, thus obtaining the functions of updating the topology and querying resources.

[0084] The switching results are synchronized to the topology map, updating the path, device status, and link thickness; users can check time slot changes by hovering over the port, and check the resource utilization comparison before and after the switch by clicking on the device.

[0085] Step 21: Based on the network situation presentation module in Step 1, the optical cable parameters in Step 4, and the updated topology obtained in Step 20, map the geographic map and infer the damage to obtain the geographic inference result.

[0086] By integrating logical topology with geographic maps, the system marks the location of equipment and the route of optical cables; users mark "damaged areas," and the system analyzes the affected network elements and the scope of service interruption, providing recovery suggestions.

[0087] Step 22: Based on the extrapolation data from steps 17 to S21, record the process and generate a report to obtain the decision analysis report.

[0088] Record fault, recovery, switchover, topology update, and geographic projection data; generate reports according to templates, including fault impact, switchover performance, resource efficiency assessment, and path optimization suggestions; and support exporting to PDF / Excel.

[0089] A simulation and intelligent decision-making system for optical networks based on multidimensional modeling includes:

[0090] (1) Multidimensional modeling module, used for unified abstract modeling of heterogeneous transmission equipment such as PTN, SDH, and OTN, as well as multiple protocol stacks such as IP, MPLS-TP, and Ethernet, covering device model, link model, and service model. Specifically:

[0091] (1-1) Create a digital model of the equipment, and fully reproduce its appearance, interface layout and internal structure based on a 1:1 realistic model of the equipment;

[0092] (1-2) Based on the rules of the equipment boards, build and configure the rack and boards of the optical access equipment on the configuration page;

[0093] (1-3) Real-time information labeling of key components is implemented in the digital model to intuitively present the equipment's operating status, technical parameters, and configuration details;

[0094] (1-4) Simulate transmission protocols and build device functional models. For example, PTN devices need to simulate the MPLS-TP transmission protocol.

[0095] (1-5) The link model realizes the modeling of optical cable physical data and optical cable performance attributes, analyzes the actual physical characteristics of optical fiber, and constructs basic attributes such as optical fiber type, optical cable attenuation, and optical fiber length.

[0096] (1-6) Support two-way binding between model and real device operation data to achieve virtual-real synchronization.

[0097] (2) Visual orchestration module, through an interactive graphical interface, is used for drag-and-drop orchestration of device template library and link template library, realizing node drag-and-drop, quick link connection, service binding and resource configuration, as follows:

[0098] (2-1) In the interactive graphical interface, select the device port and create a connection line by dragging and dropping nodes to quickly connect digital transmission equipment such as PTN, SDH, and OTN.

[0099] (2-2) Configure fiber optic parameters to represent the characteristics of light in the network topology, such as optical power, attenuation, dispersion, etc.

[0100] (2-3) Pre-configured configuration templates for optical transmission links such as OTN and SDH, supporting rapid configuration and reuse of transmission rate, QoS parameters and service mapping methods;

[0101] (2-4) Any two or more digital models can establish end-to-end connection links to construct complex optical network topologies.

[0102] (3) Optical network analysis module, which collects global network topology and resource status, analyzes the time slot occupancy of digital network elements to perform intelligent routing, displays the optimal path between model services, and has no fewer than two backup routes. Details are as follows:

[0103] (3-1) Based on the initial network commissioning plan or adjustment scheme, realize the unified planning or adjustment of information such as the interconnection relationship between network devices, the connection relationship of service channels and bandwidth, and generate network planning results;

[0104] (3-2) Functions such as automatic discovery of digital network element models, online status monitoring, and port information updating;

[0105] (3-3) Monitor the operational status of sites, devices, links, etc. within the specified range, collect operational data, and comprehensively form a situational view reflecting the overall network operation status;

[0106] (3-4) The SDN controller intelligently calculates the path and displays the optimal path between digital model services, with no less than 2 backup routes.

[0107] (4) Environment simulation module, which is used to switch to backup links and dynamically adjust paths to ensure service continuity in the event of network element node damage, fiber optic link breakage, or other failures. Details are as follows:

[0108] (4-1) Visually display the distribution of nodes and links in the optical network and the direction of optical cables in the network topology, and distinguish the link status by color (green: normal, yellow: performance degradation, red: interruption).

[0109] (4-2) Right-click on a node or link in the graphical interface and select the damage simulation operation. The icon color of the node or link on the topology will immediately turn red, indicating that the link is interrupted.

[0110] (4-3) When a simulated fault is triggered, the system sends a fault signal to the affected related services, thereby triggering their self-healing mechanism;

[0111] (4-4) When the link is interrupted, the working link is switched to the backup path. The switching process of the business path is displayed in real time. The optimal path should be red and the backup path status should be green, which means that the backup path is working at this time.

[0112] (4-5) Based on the preset protection path and backup resources, the graphical interface dynamically displays the recovery process such as link switching, optical power adjustment, and route recalculation;

[0113] (4-6) New paths are highlighted in green. You can hover over the path to view detailed information and the usage of digital model time slots.

[0114] (5) Network Status Presentation Module, which is used to realize real-time topology map updates, centralized monitoring and traffic engineering optimization, and supports animated display of traffic flow and multi-path load balancing strategies. Details are as follows:

[0115] (5-1) Provide an interface for users to input or select end-to-end service requirements. Parameters include: service type, service direction, source network element / port, destination network element / port, service layer path, time slot parameters, etc.

[0116] (5-2) The optimal path and backup path between network model services that meet the requirements are calculated by the intelligent routing algorithm built into the SDN controller. The paths are displayed dynamically or by color differentiation.

[0117] (5-3) All calculated paths are clearly displayed on the network topology interface in a way that highlights, dynamically flows, or is distinguished by color;

[0118] (5-4) The status of devices and links is presented in different styles, where green indicates that the node is normal, yellow indicates that the node has a performance alarm, and red indicates that the node is faulty; the higher the time slot occupancy, the thicker the link line.

[0119] (5-5) You can choose to view the nodes, devices, ports, and time slots that any path passes through. When the mouse hovers over a port, a list of ports for that device will appear. When you click on a port, a floating window will display key indicators such as the occupancy status of each time slot for that port.

[0120] (5-6) Clicking on a link will display the current rate, maximum bandwidth, optical power, network weight, and signal-to-noise ratio;

[0121] (5-7) The topology map can be updated in real time after the link is damaged or the path is optimized.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for optical network simulation deduction and intelligent decision based on multi-dimensional modeling, characterized in that, Comprise the following steps: Step 1, by initializing the multi-dimensional modeling module, visualization arrangement module, optical network analysis module, environment deduction module and network situation presentation module required for optical network simulation deduction, establishing a unified data bus and communication interface between modules, obtaining a basic support system that can support the collaborative work of subsequent modules; Step 2, in the multi-dimensional modeling module obtained in step 1, import the three-dimensional structure data and technical parameters of the heterogeneous equipment to obtain a high-fidelity digital twin model of the heterogeneous equipment; Step 3, based on the high-fidelity digital twin model obtained in step 2, create racks and configure card parameters according to rules to obtain a completed equipment digital model; Step 4, based on the equipment digital model obtained in step 3, develop optical cable modeling and service definition to obtain an optical cable physical model and a service model; Step 5, based on the high-fidelity digital twin model obtained in step 2, the card configuration parameters of step 3, and the optical cable physical model and service model obtained in step 4, through the north interface to the real equipment to obtain a virtual-real synchronous digital model; Step 6, based on the visualization arrangement module obtained in step 1 and the virtual-real synchronous data obtained in step 5, start the module and load the template library to obtain a graphical drag-and-drop operation environment; Step 7, based on the operation environment obtained in step 6, drag the equipment model and create an optical link to obtain a basic network topology; Step 8, based on the basic network topology obtained in step 7 and the optical cable parameter requirements of step 4, configure the link physical parameters to obtain a parameter-configured topology; Step 9, based on the service model of step 4, the basic network topology of step 7, and the parameter-configured topology of step 8, bind the service and trigger the planning to obtain a service-bound topology and a planning request; Step 10, based on the basic network topology of step 7 and the planning request of step 9, collect resource data and integrate to obtain a global network view; Step 11, based on the service requirements of step 4 and the global network view obtained in step 10, calculate the path using an improved algorithm to obtain an optimal primary path that meets the service requirements; Step 12, based on the protection requirements of step 4, the global network view of step 10, and the optimal primary path obtained in step 11, calculate the backup path to obtain at least two backup paths that do not overlap or partially overlap; Step 13, based on the operation environment of step 6, the optimal primary path of step 11, and the backup path of step 12, display the path and support adjustment to obtain the confirmed primary and backup paths; Step 14, based on the virtual-real synchronous digital model of step 5 and the confirmed primary and backup paths of step 13, generate a delivery instruction to obtain a physical service channel and a synchronous digital model; Step 15, based on the synchronization mechanism of step 5, the operation environment of step 6, and the physical service channel and synchronous digital model of step 14, refresh the presented situation to obtain a real-time situation view; Step 16, based on the physical service channel of step 14 and the real-time situation view of step 15, display the traffic and support query to obtain a situation view with traffic animation and query function; Step 17, based on the environment deduction module of step 1, the physical service channel obtained in step 14, and the situation view obtained in step 15, simulating a fault and alarming, obtaining a fault scenario and alarm information; Step 18, based on the optical network analysis module of step 1, the global network view obtained in step 10, the backup path obtained in step 12, and the fault scenario and alarm information obtained in step 17, enabling the backup path in response to the fault, obtaining a fault recovery state; Step 19, based on the operating environment obtained in step 6, the real-time situation view obtained in step 15, and the fault recovery state of step 18, dynamically displaying the switching process, obtaining a switching visualization view; Step 20, based on the refreshing mechanism of step 15 and the switching visualization view obtained in step 19, updating the topology and supporting query, obtaining an updated topology and resource query function; Step 21, based on the network situation presentation module of step 1, the cable parameters of step 4, and the updated topology obtained in step 20, mapping a geographic map and deducing damage, obtaining a geographic deduction result; Step 22, based on the deduction data of steps 17 to 21, recording the process and generating a report, obtaining a decision analysis report. 2.The multi-dimensional modeling based optical network simulation, inference and intelligent decision method according to claim 1, characterized in that, In step 2, the three-dimensional structure data and technical parameters of the PTN, SDH or OTN heterogeneous device are imported to obtain a high-fidelity digital twin model of the PTN, SDH or OTN heterogeneous device. 3.The multi-dimensional modeling based optical network simulation, inference and intelligent decision method according to claim 1, characterized in that, In step 7, the PTN, SDH or OTN heterogeneous device model is dragged and an optical link is created.

4. A multi-dimensional modeling based optical network simulation deduction and intelligent decision system for applying the multi-dimensional modeling based optical network simulation deduction and intelligent decision method according to any one of claims 1-3, characterized in that, It includes: A multi-dimensional modeling module for unified modeling of PTN, SDH, OTN heterogeneous devices, optical cables and services, creating a device digital twin model, and realizing bidirectional synchronization of virtual and real data; A visual arrangement module that provides a drag-and-drop interface, loads device and link template libraries, supports rapid topology building, link parameter configuration and service binding, and visually arranges the network; An optical network analysis module for collecting global resource data to build a global view, calculating the optimal primary and backup paths of services using improved algorithms, and supporting network planning and state monitoring; An environment deduction module for simulating node and link faults, triggering alarms and protection switching, dynamically displaying the service switching process, and supporting geographic damage deduction and path recovery analysis; A network situation presentation module for real-time refreshing of topology maps, using colors and link thickness to identify device and link states, animating traffic flow, and supporting key indicator query and situation monitoring.

5. The multi-dimensional modeling based optical network simulation, emulation and intelligent decision system as claimed in claim 4, wherein, The multi-dimensional modeling module creates a 1:1 digital twin model of the device.

6. The multi-dimensional modeling based optical network simulation, emulation and intelligent decision system as claimed in claim 4, wherein, The optical network analysis module calculates the optimal primary path and at least two backup paths of services using improved algorithms.

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