A General Physical Entity Digital Model Construction Method Based on Multi-Brand SDH Devices

Abstract

The present invention discloses a method for constructing a general physical entity digital model based on multi-brand SDH devices, comprising the following steps: S1. Normalize the original characteristic elements of multi-brand devices to obtain the normalized characteristic elements of multi-brand devices; S2. Use the normalized characteristic elements of multi-brand devices obtained in step S1 to construct a general physical entity digital model for multi-brand devices. The advantages are as follows: The present invention realizes the compatibility of multi-brand devices. By applying the "general physical entity digital model of SDH devices", it overcomes the technical barriers between brands and realizes the general technical and skills teaching and training for cross-brand SDH devices. It adapts to the changes in different brands, business requirements and technical environments, and provides a general technical digital teaching and matching solution with high flexibility and customizability.

Description

Technical Field:

[0001] The present invention relates to a method for constructing a model, and particularly to a method for constructing a general physical entity digital model based on multi-brand SDH devices. Background Art:

[0002] With the rapid development of communication technologies, optical fiber communication transmission equipment is a key infrastructure of optical fiber communication networks, playing the role of a communication traffic transmission boost pump in optical fiber communication networks. The ever-changing development of optical communication transmission equipment technology has become an engine driving the high-speed development of the ICT era. Among them, as the core equipment of the transmission network, SDH devices are widely used in industries such as power, finance, and telecommunications, and their technology has also developed rapidly. However, due to product differences in appearance, structure, operation, etc. in terms of hardware structure, interface type, service configuration, etc. among different brand models of SDH devices from different manufacturers, it poses challenges to the general skills training and learning of equipment management and operation and maintenance personnel. Current SDH device teaching and training methods often require separately developing technical teaching and training programs and configuring various types of different physical devices for different manufacturers and brand devices. This not only makes the teaching and training costly and inefficient, but also makes it difficult to achieve general technology training and learning for cross-brand SDH devices. Summary of the Invention:

[0003] In order to solve the above problems, the purpose of the present invention is to provide a method for constructing a general physical entity digital model based on multi-brand SDH devices.

[0004] The present invention is implemented by the following technical solutions:

[0005] A method for constructing a general physical entity digital model based on multi-brand SDH devices, comprising the following steps:

[0006] S1. Normalize the original characteristic elements of multi-brand devices to obtain the normalized characteristic elements of multi-brand devices;

[0007] S2. Use the normalized characteristic elements of multi-brand devices obtained in step S1 to construct a general physical entity digital model for multi-brand devices.

[0008] Further, the specific method for normalizing the original characteristic elements of multi-brand devices in step S1 is as follows:

[0009] S11. Determine the characteristic elements of multi-brand devices;

[0010] S12. Collect the specific indicators or parameters of the characteristic elements of each brand device;

[0011] S13. Perform normalization calculation and processing on the same index or parameter of each brand device feature element to obtain the normalized feature elements of multi-brand devices.

[0012] Further, the formula for performing normalization calculation and processing on the same index or parameter of the feature elements of multiple brand devices in step S13 is as follows:

[0013] Z = (X - Xmin) / (Xmax - Xmin)

[0014] Where X is the original data, and Xmin and Xmax are the minimum and maximum values in the original dataset respectively, and thus the original data can be linearly mapped into the interval [0, 1].

[0015] Further, the specific method for constructing a general physical entity digital model for multi-brand devices in step S2 is as follows:

[0016] S21. Standardize and identify the main hardware entities of multi-brand devices;

[0017] S22. Define the relationships between the main hardware entities of multi-brand devices;

[0018] S23. Use a graphical tool to construct a conceptual model to show the relationships between the main hardware entities of multi-brand devices;

[0019] S24. Define the simulation data structure to be stored in the database according to the conceptual model;

[0020] S25. Formulate the rules for virtual device interaction logic and data processing in the conceptual model;

[0021] S26. Define the geometric data, general data, and human-computer interaction relationships in teaching such as the shape, size, and assembly relationship of physical entities in the conceptual model of multi-brand devices;

[0022] S27. Use the normalized feature elements obtained in step S1 and the geometric data, general data, and human-computer interaction relationships in teaching defined in S26 to perform geometric simulation, physical simulation, and logical simulation on the conceptual model, and thus obtain a general physical entity digital model of multi-brand SDH devices.

[0023] Advantages of the present invention:

[0024] The present invention realizes the compatibility of multi-brand devices. By applying the "general physical entity digital model of SDH devices", it overcomes the technical barriers between brands and realizes the general technical and skill teaching and training for SDH devices across brands. It adapts to the changes in different brands, business requirements, and technical environments, and provides a general technical digital teaching and matching solution with high flexibility and customizability.

[0025] Accurately simulate the physical characteristics and behaviors of SDH devices, including device status, service configuration, protection mechanisms, etc., through a general element set and a simulation granularity set, and then achieve high-precision simulation of cross-brand SDH devices.

[0026] By constructing a normalized and standardized general physical entity digital model, the present invention realizes the unified simulation of the main performance characteristics of multi-vendor brand optical fiber communication SDH devices, which is of great significance for improving the intelligent level of relevant teaching and training and reducing the skill training cost when conducting general technical and skill teaching and training on SDH devices. Description of the Drawings:

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] Figure 1 Flowchart for creating a simulation digital model for multi-brand general SDH devices;

[0029] Figure 2 Architecture diagram of the simulation digital model for general SDH devices;

[0030] Figure 3 Flow block diagram for normalizing the characteristic elements of multi-brand SDH devices;

[0031] Figure 4 Interface diagram of the simulation digital model for general SDH devices. Detailed Embodiments:

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0033] Embodiment 1:

[0034] A method for constructing a general physical entity digital model based on multi-brand SDH devices includes the following steps:

[0035] S1. Normalize the original characteristic elements of multi-brand devices. The flowchart of the normalization process is as Figure 3 shown, and obtain the normalized characteristic elements of multi-brand devices;

[0036] The specific method is as follows:

[0037] S11. Determine the characteristic elements of multi-brand devices, such as the standardized and general elements of "hardware structure, board configuration, alarm information, northbound data" of SDH devices; in this embodiment, one of the standardized and general elements of the northbound data of the SDH devices of brand A, brand B, and brand C is used as an example for the normalization process;

[0038] S12. Collect the specific indicators or parameters of the characteristic elements of each brand of device; for example, for the hardware structure, collect geometric information such as the hardware structure, board type, quantity, and size; for the board configuration, physical parameters such as interface type, rate, and protection ability can be collected. For the purpose of example, we select one of the element indicators of the "northbound data" of the standardized and general elements of the SDH devices of brand A, brand B, and brand C, that is, the "throughput data", as an example for normalization calculation.

[0039] The specific parameters collected for the "throughput" element of the three brands are shown in Table 1;

[0040] Table 1 "Throughput" parameters of the SDH devices of brand A, brand B, and brand C

[0041] Brand / Parameter Throughput Brand A 1000 Brand B 800 Brand C 1200

[0042] S13. Perform normalization processing on the same indicator or parameter of the characteristic elements of each brand of device to obtain the normalized characteristic elements of each brand of device; the specific method is as follows:

[0043] Perform normalization processing on the indicators or parameters of the "northbound data" characteristic elements of each brand of device. The formula for the normalization value Z is as follows:

[0044] Z = (X - Xmin) / (Xmax - Xmin)

[0045] Where X is the original data, and Xmin and Xmax are the minimum and maximum values in the original dataset, respectively, so that the original data can be linearly mapped to the interval [0, 1].

[0046] In this embodiment, the "throughput" data of brand A is 1000, the "throughput" data of brand B is 800, and the "throughput" data of brand C is 1200. Therefore, it is determined that the minimum value of the "throughput" calculation threshold range is 800 and the maximum value is 1200. Substitute the "throughput data" of each brand of device into the normalization formula to calculate its normalization value. The final normalization results are shown in Table 2;

[0047] Table 2 The final standardized results in this embodiment

[0048] Brand / Value "Throughput" Parameter Normalized Value of "Throughput" Element Brand A 1000 Z＝{1000-800} / {1200-800}＝0.5 Brand B 800 Z＝{800-800} / {1200-800}＝0 Brand C 1200 Z＝{1200-800} / {1200-800}＝1

[0049] Based on the "normalization processing" calculation method proposed in S13 of the present invention, perform normalization calculations on the four general elements of "hardware structure, board configuration, alarm information, and northbound data" for Brand A, Brand B, and Brand C. The final normalization results are shown in Table 3;

[0050] Table 3 In this embodiment, the finally obtained normalized values

[0051] Brand / Element Hardware Structure Board Configuration Alarm Information Northbound Data Brand A 0.85 0.90 0.80 0.95 Brand B 0.75 0.85 0.75 0.85 Brand C 0.65 0.70 0.65 0.75

[0052] S14. Check the normalization results to confirm that the normalization results are accurate. The specific method is as follows: Check whether the formula application is accurate. If it is accurate, compare the obtained normalization results with the original data to observe whether the data change trends are consistent and whether the important information in the original data is retained to ensure that there are no omissions or errors. Calculate statistics such as the mean, standard deviation, and median of the normalization results, and observe whether there are outliers in the normalized data. If the difference between a data value and the average value exceeds 2 - 3 standard deviations, then this data point is regarded as an outlier. These outliers may be caused by errors or anomalies in the original data or may be due to problems in the normalization process.

[0053] By checking the normalization results, use the normalization results without outliers for the construction of the subsequent general physical entity digital model.

[0054] S2. Use the normalized characteristic elements of multi-brand devices obtained in step S1 to construct a general physical entity digital model for multi-brand devices. The model creation process is as Figure 1 shown. The specific method for model creation is as follows:

[0055] S21. Conduct an architecture design for the general physical entity digital model of multi-brand devices. The model architecture is as Figure 2 shown. The architecture design includes: general concept model design, general logical model design, and general physical model design.

[0056] S211. In the general concept model design, identify the main hardware entities of multi-brand devices, that is, based on the product manuals, identify the main hardware entities of the three brands from the data collected for Brand A, Brand B, and Brand C. The identified hardware in this embodiment, such as the appearance of hardware such as racks, boards, interfaces, signal lights, etc., are the elements for constructing the model;

[0057] S212. In the design of a general - purpose conceptual model, define the relationships between the main hardware entities of multi - brand devices, and determine the relationships between hardware entities, such as inclusion relationships, connection relationships, interaction relationships, etc. In this embodiment, for example, the plug - and - unplug connection relationship between a board and a rack, the optical - interface connection relationship between an optical cable and a board, and the interaction relationship between the working state of a board and the brightness of a signal lamp.

[0058] S213. In the design of a general - purpose logical model, define the simulation data structures to be stored in the database, such as tables, fields, etc. These data structures will be used to simulate the actual operating state, performance parameters, configuration information, etc. of SDH devices, so as to conduct tests, development, and training without affecting the actual production environment.

[0059] In this embodiment, in the design of the simulation data structure tables in the defined database, a series of database tables need to be designed to store different types of simulation data. These tables are classified according to different aspects of SDH devices, such as device basic information, port configuration, service configuration, performance monitoring, etc. The specific tables and descriptions are as shown in Table 4;

[0060] Table 4 Simulation data structure tables and descriptions in the database of this embodiment

[0061]

[0062] The definition of fields is based on the actual requirements of SDH devices and the level of detail of the simulation model. In the simulation data structure tables, specific fields need to be defined to store the corresponding data. In this embodiment, the specific defined fields and data types are shown in Tables 5 - 9;

[0063] Table 5 DeviceInfo table in this embodiment

[0064] Field Name Data Type Description DeviceID INT Unique Identifier of the Device DeviceName VARCHAR Name of the Device Manufacturer VARCHAR Name of the Manufacturer Model VARCHAR Device Model

[0065] Table 6 PortConfig table in this embodiment

[0066]

[0067]

[0068] Table 7 ServiceConfig table in this embodiment

[0069]

[0070] Table 8 Performance table in this embodiment

[0071] Field Name Data Type Description RecordID INT Unique Identifier of the Record DeviceID INT ID of the Belonging Device Timestamp DATETIME Record Time TransmissionRate DECIMAL Transmission Rate (Mbps) ErrorRate DECIMAL Error Rate (%) PacketLossRate DECIMAL Packet Loss Rate (%)

[0072] Table 9 AlarmLog Table in this embodiment

[0073] Field Name Data Type Description AlarmID INT Unique Identifier of the Alarm DeviceID INT ID of the Belonging Device AlarmType VARCHAR Alarm Type AlarmTime DATETIME Alarm Time Description TEXT Alarm Description

[0074] S214. Establish rules for virtual device interaction logic and data processing in the general concept model;

[0075] When constructing the "simulation digital model" of a general SDH (Synchronous Digital Hierarchy) device, one of the key parts in the "logical model" design is to define the service logic between "virtual hardware". These service logics simulate the interaction and data flow between hardware components in an actual SDH device to ensure that the simulation model can accurately reflect the operating conditions of the actual device. In this embodiment, the protection switching service logic in the SDH network follows the following process:

[0076] ● Monitoring status: Real-time monitor the status information of the working path and the protection path, including signal quality, alarm status, etc.

[0077] ● Fault judgment: Based on the monitored status information, judge whether the working path has a fault.

[0078] ● Trigger switching: If a fault occurs in the working path, trigger the protection switching mechanism.

[0079] Switch the service to the protection path.

[0080] ● Service restoration: Restore service transmission on the protection path and continue to monitor the status of the working path.

[0081] ● Switch back: If the working path returns to normal, switch the service back to the working path according to a preset strategy (such as manual or automatic).

[0082] S215. In the design of the general physical model, define the geometric data, general data, and human-computer interaction relationship in teaching of the physical entity's shape, size, assembly relationship, etc. in the concept model of multi-brand devices.

[0083] In this embodiment, the geometric structure data defines the shape, size, assembly relationship, etc. of physical entities (such as device subracks, component boards, devices, system interfaces, etc., which are physical entities of the devices to be simulated). The general data defines the "northbound data" such as "bandwidth, bit error rate, transmission rate" that characterizes the device. The human-computer interaction relationship defines the human-computer interaction relationship in teaching such as device commissioning, board configuration, defect elimination and troubleshooting operations according to the virtual teaching requirements of the digital model of the general SDH device physical entity.

[0084] S22. Use the normalized feature elements obtained in step S1 and the architecture designed in step S21 to simulate the conceptual model, and then obtain the general physical entity digital model of multi-brand SDH devices.

[0085] S221. Use a graphical tool to construct a conceptual model to show the relationships between the main hardware entities of multi-brand devices; use a graphical tool to construct a conceptual model to show the relationships between the main hardware entities of multi-brand devices; in this embodiment, the graphical tool used is Autodesk Maya.

[0086] Autodesk Maya is a powerful graphical tool software that integrates the most advanced animation and digital effect technologies of Alias and Wavefront. Applying the Autodesk Maya graphical tool, the steps for building a digital model mainly include the following steps:

[0087] ● Planning and preparation: Before starting modeling, it is necessary to determine the details, shape, and size of the model, and collect reference pictures or draw sketches.

[0088] ● Create basic geometries: Use Maya's basic modeling tools, such as cubes, cylinders, spheres, etc., to create the basic shape of the model. Adjust the size, rotation, or translation as needed.

[0089] ● Add details: Add details to the basic geometries, such as edges, depressions, protrusions, etc., to make the model more realistic. Functions such as subdivision surfaces, cutting tools, and extrusion can be used.

[0090] ● Adjust the topology: Optimize the topology of the model to ensure fewer faces and good streamline. Use Maya's topology editing tools, such as merging vertices, edge loops, etc., to adjust the shape of the model.

[0091] ● Add materials and textures: Apply appropriate materials and textures to the model to increase the surface details and realism. The Maya material editor can be used to select the appropriate material type and import textures in the texture editor.

[0092] ● Adjust lighting and rendering: Set appropriate lighting and environment for the model to produce suitable shadow and reflection effects during the rendering process. Use Maya's lighting tools and renderer for adjustment.

[0093] ● Texture mapping and UV unwrapping: Unwrap the UV of the model that needs to be textured to maintain the consistency of the model surface during the texture mapping process. Use Maya's UV editing tools for unwrapping and adjustment.

[0094] ● Conduct testing and correction: Test-render the model and check if further adjustments and corrections are needed. Conduct multiple tests and corrections as required until a satisfactory result is achieved.

[0095] ● Export and application: After completing the modeling, export the model in an appropriate format for use in other software or for further processing such as animation and special effects.

[0096] ● By following this process for modeling, high-quality and realistic models can be created in Maya.

[0097] S222. Use the normalized feature elements obtained in step S1, as well as the defined geometric data, general-purpose data, and human-computer interaction relationships in teaching, to perform geometric simulation, physical simulation, and logical simulation on the conceptual model, and then obtain the general-purpose physical entity digital model of multi-brand SDH devices.

[0098] In this embodiment, the interface screenshot of the finally obtained general-purpose physical entity digital model is as Figure 4 shown.

[0099] Embodiment 2:

[0100] After using the general-purpose physical entity digital model of multi-brand SDH devices obtained in Embodiment 1, in order to verify the correctness of this digital model, a series of specific data need to be input to simulate the operating conditions and performance of actual SDH devices. Therefore, in this example, the following specific data covering the device configuration information, service parameters, performance indicators, and possible fault scenarios are input to verify the simulation digital model.

[0101] (I) Data types for verifying the simulation digital model

[0102] 1. Device configuration information

[0103] · Port configuration: The rate, type (such as STM-1, STM-4, STM-16, etc.), status (enabled / disabled), optical interface or electrical interface type, etc. of each port.

[0104] · Service configuration: Service type (such as point-to-point, ring network protection), service bandwidth, source port, and target port, etc.

[0105] 2. Service parameters

[0106] · Signal multiplexing and demultiplexing parameters: Including multiplexing structure (such as AU-4, TU-12 / TU-3, etc.), pointer adjustment mechanism, overhead byte configuration, etc.

[0107] · Protection switching parameters: Configuration of the working path and protection path, switching trigger conditions, switching recovery strategy, etc.

[0108] · Cross - connection parameters: Configuration of the cross - connection matrix, service routing planning, etc.

[0109] 3. Performance metrics

[0110] · Transmission performance: Transmission rate, bit error rate, jitter, drift, etc.

[0111] · Equipment performance: Processing delay, throughput, resource utilization (such as cache occupancy, CPU usage), etc.

[0112] 4. Fault scenario data

[0113] · Simulated fault types: Such as fiber breakage, equipment failure, power interruption, etc.

[0114] · Fault occurrence time: Used to simulate sudden faults or planned maintenance.

[0115] · Fault recovery strategy: Such as automatic switching, manual recovery, etc.

[0116] 5. Verification and test data

[0117] · Test cases: Design a series of test cases to cover different service scenarios and fault conditions.

[0118] · Expected results: For each test case, define the expected equipment behavior, performance metrics, alarm information, etc.

[0119] · Actual results: After running the test cases on the digital model, record the actual obtained results.

[0120] (2) Method for inputting the data of the verified simulation digital model into the model

[0121] According to the determined input method, input the prepared data into the model.

[0122] · GUI input: Fill in forms, select menu items or click buttons on the GUI interface to input data. Pay attention to checking the accuracy and integrity of the data.

[0123] · CLI input: Open the command - line interface and input the corresponding commands and parameters to configure the model. Ensure the correct syntax of the commands and check whether the output results of the commands meet the expectations.

[0124] · API input: Write programs or scripts to transfer data into the model through API calls. Pay attention to handling API authentication and authorization issues and ensure the security and reliability of data transmission.

[0125] · Configuration file input: Edit the parameters in the configuration file, then save the file and restart the model to make the changes take effect. Pay attention to the format and syntax requirements of the configuration file.

[0126] (3) Verification Steps of the Simulation Digital Model

[0127] 1. Data Input: Input specific data into the digital model according to the above data types.

[0128] 2. Run Test: Use the designed test cases to simulate the actual operation situation and record the actual results.

[0129] 3. Result Comparison: Compare the actual results with the expected results to check whether the digital model can correctly reflect the operation status and performance of the actual SDH device.

[0130] 4. Problem Location and Correction: If inconsistencies are found, locate the cause of the problem and correct the errors or deficiencies in the digital model.

[0131] 5. Repeated Verification: Repeat the above steps as needed until the digital model reaches the expected accuracy and reliability.

[0132] (4) Verification Results of the Simulation Digital Model

[0133] After inputting the data, it is necessary to verify the correctness of the data and the response of the model.

[0134] · Observe Model Response: Check whether the model processes the input data in the expected manner and generates corresponding outputs or results.

[0135] · Test Model Function: Run test cases to verify whether the functions and performance of the model meet the requirements.

[0136] Through the above verification steps, for the verification effect of the model in this example, the correctness of the device appearance response can reach 99%, and the correctness of the output data response can reach 98%.

[0137] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for constructing a general physical entity digital model based on multi-brand SDH devices, characterized in that, It includes the following steps: S1. Normalize the original characteristic elements of multi-brand devices to obtain the normalized characteristic elements of multi-brand devices; S2. Use the normalized characteristic elements of multi-brand devices obtained in step S1 to construct a general physical entity digital model for multi-brand devices; The specific method for normalizing the original characteristic elements of multi-brand devices in step S1 is as follows: S11. Determine the characteristic elements of multi-brand devices; S12. Collect the specific indicators or parameters of the characteristic elements of each brand of device; S13. Normalize the same indicator or parameter of the characteristic elements of each brand of device to obtain the normalized characteristic elements of multi-brand devices; In step S13, the same indicator or parameter of the characteristic elements of each brand of device is subjected to standardization calculation processing, and the normalization formula is as follows: Z = (X - Xmin) / (Xmax - Xmin) Where X is the original data, and Xmin and Xmax are the minimum and maximum values in the original dataset respectively, so that the original data can be linearly mapped to the interval [0, 1]; The specific method for constructing a general physical entity digital model for multi-brand devices in step S2 is as follows: S21. Conduct an architecture design for the general physical entity digital model of multi-brand devices; S22. Use the normalized characteristic elements obtained in step S1 and the architecture designed in step S21 to simulate the conceptual model, and then obtain the general physical entity digital model of multi-brand SDH devices; The architecture design of the general physical entity digital model of multi-brand devices in step S21 includes the following steps: S211. Identify the main hardware entities of multi-brand devices; S212. Define the relationships between the main hardware entities of multi-brand devices; S213. Define the simulation data structure to be stored in the database; S214. Formulate the rules for virtual device interaction logic and data processing in the digital model; S215. Define the geometric data, general data, and human-computer interaction relationships in teaching of the physical entities in the digital model of multi-brand devices.

2. The general physical entity digital model construction method based on multi-brand SDH devices according to claim 1, characterized in that The simulation of the conceptual model in step S22 includes the following steps: S221. Use a graphical tool to construct a conceptual model to show the relationships between the main hardware entities of multi-brand devices; S222. Use the normalized characteristic elements obtained in step S1 and the defined geometric data, general data, and human-computer interaction relationships in teaching to conduct geometric simulation, physical simulation, and logical simulation on the conceptual model, and then obtain the general physical entity digital model of multi-brand SDH devices.

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