Universal physical entity digital model construction method based on multi-brand SDH (Synchronous Digital Hierarchy) equipment

Abstract

The invention discloses a universal physical entity digital model construction method based on multi-brand SDH equipment, and the method comprises the following steps: S1, carrying out the normalization processing of original feature elements of the multi-brand equipment, and obtaining the normalized feature elements of the multi-brand equipment; and S2, constructing a universal physical entity digital model for the multi-brand equipment by using the normalized feature elements of the multi-brand equipment obtained in the step S1. The method has the advantages that the compatibility of multi-brand equipment is realized, the technical barriers among brands are overcome by applying the universal physical entity digital model of the SDH equipment, and the teaching training of the universal technology and skills of the cross-brand SDH equipment is realized. The method adapts to changes of different brands, business requirements and technical environments, and provides a high-flexibility and customizable general identification technology digital teaching and matching scheme.

Description

Technical field:

[0001] The invention relates to a model building method, in particular to a universal physical entity digital model building method based on multi-brand SDH equipment. Background technology:

[0002] With the rapid development of communication technology, optical fiber communication transmission equipment is the key infrastructure of optical fiber communication network, and plays the role of the thrust pump of communication traffic transmission in optical fiber communication network. The rapid development of optical communication transmission equipment technology has become the engine to promote the rapid development of ICT era. Among them, SDH equipment, as the core equipment of transmission network, has been widely used in power, finance, telecommunications and other industries, and its technology has also developed rapidly. However, due to the differences in appearance, structure, operation and other products of different brands and models of SDH equipment from different manufacturers in hardware structure, interface type, service configuration, etc., it brings challenges to the general skills training and learning of equipment management and operation and maintenance personnel. The current SDH equipment teaching and training methods often need to develop technical teaching and training programs separately for different manufacturers and brands of equipment and configure multiple types of different physical equipment. This not only makes the teaching and training cost high and the efficiency low, but also makes it difficult to achieve cross-brand SDH equipment general technology training and learning. Summary of the invention:

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

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

[0005] A method for constructing a universal physical entity digital model based on multi-brand SDH equipment includes the following steps:

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

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

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

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

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

[0011] S13. Perform normalization calculation on the same index or parameter of the normalized characteristic element of each brand of equipment to obtain the normalized characteristic elements of multi-brand equipment.

[0012] Furthermore, the formula for normalizing the same index or parameter of the characteristic elements of multiple brands of equipment in step S13 is as follows:

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

[0014] Among them, X is the original data, Xmin and Xmax are the minimum and maximum values ​​in the original data set, respectively, so that the original data can be linearly mapped to the interval [0,1].

[0015] Furthermore, the specific method for constructing a universal physical entity digital model for multi-brand equipment 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 graphical tools to build conceptual models to show the relationships between the main hardware entities of multi-brand devices;

[0019] S24. According to the conceptual model, define the simulation data structure to be stored in the database;

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

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

[0022] S27, using the normalized characteristic elements obtained in step S1 and the geometric data, universal data and human-computer interaction relationship defined in S26 to perform geometric simulation, physical simulation and logical simulation on the conceptual model, and then obtain a universal physical entity digital model of multi-brand SDH equipment.

[0023] Advantages of the present invention:

[0024] The present invention realizes compatibility with multi-brand equipment, overcomes technical barriers between brands by applying the "universal physical entity digital model of SDH equipment", and realizes general technology and skills training for cross-brand SDH equipment. It adapts to the changes of different brands, business needs and technical environment, and provides a highly flexible and customizable general technology digital teaching and matching solution.

[0025] The physical characteristics and behaviors of SDH equipment, including equipment status, service configuration, protection mechanism, etc., are accurately simulated through common element sets and simulation granularity sets, thereby achieving high-precision simulation of cross-brand SDH equipment.

[0026] The present invention realizes unified simulation of the main performance characteristics of optical fiber communication SDH equipment of multiple manufacturers by constructing a normalized and standardized universal physical entity digital model, so as to meet the general technology and skill teaching and training of SDH equipment, which is of great significance to improving the intelligent level of related teaching and training and reducing the cost of skill training. Description of the drawings:

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 Create flow charts for multi-brand universal SDH equipment simulation digital models

[0029] Figure 2 Diagram of the digital model architecture for general SDH equipment simulation

[0030] Figure 3 Flow chart of normalization process for characteristic elements of multi-brand SDH equipment

[0031] Figure 4 Interface diagram of the digital model for general SDH equipment simulation Specific implementation method:

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1:

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

[0035] S1. Normalize the original feature elements of multi-brand devices. The normalization process flow chart is as follows: Figure 3As shown, the normalized characteristic elements of multi-brand equipment are obtained;

[0036] The specific method is as follows:

[0037] S11, determining characteristic elements of multi-brand equipment, such as standardized universal elements such as "hardware structure, board configuration, alarm information, northbound data" of SDH equipment; in this embodiment, the "northbound data" element, one of the standardized universal elements of SDH equipment of three brands, brand A, brand B and brand C, is used as an example of the normalization process to illustrate;

[0038] S12. Collect specific indicators or parameters of the characteristic elements of each brand of equipment; for example, for hardware structure, collect geometric information such as hardware structure, board type, quantity, size, etc.; for board configuration, collect physical parameters such as interface type, rate, protection capability, etc. For example, we selected "throughput data", one of the element indicators in the standardized universal element "northbound data" of SDH equipment of three brands, Brand A, Brand B and Brand C, as a normalized calculation example.

[0039] The specific parameters collected for the “throughput” factor of the three brands are shown in Table 1 ;

[0040] Table 1 "Throughput" parameters of SDH equipment of three brands: A, B and C

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

[0042] S13. Normalize the same index or parameter of the characteristic element of each brand of equipment to obtain the normalized characteristic element of each brand of equipment; the specific method is as follows:

[0043] The indicators or parameters of the characteristic elements of the "northbound data" of each brand of equipment are normalized. The formula of the normalized value Z is as follows:

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

[0045] Among them, X is the original data, Xmin and Xmax are the minimum and maximum values ​​in the original data set, 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, the minimum value of the "throughput" calculation threshold range is determined to be 800 and the maximum value is 1200. Substitute the "throughput data" of each brand of equipment into the normalization formula to calculate its normalized value. The final normalized result is shown in Table 2;

[0047] Table 2 In this embodiment, the final standardized results

[0048] Brand / Value "Throughput" parameter Normalized value of the "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, the normalization calculation of the common elements of the four elements of "hardware structure, board configuration, alarm information and northbound data" of brand A, brand B and brand C is performed, and the final normalization results are shown in Table 3;

[0050] Table 3 In this embodiment, the final normalized value

[0051] Brand / Element Hardware Structure Board Configuration Warning 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 they are accurate. The specific method is as follows: Check whether the formula is applied accurately. If it is accurate, compare the normalized results with the original data to observe whether the trend of data changes is consistent and whether the important information in the original data is retained to ensure that there are no omissions or errors. Calculate the mean, standard deviation, median and other statistical quantities for the normalized results, and observe whether there are outliers in the normalized data. If the difference between a data value and the mean value exceeds 2-3 standard deviations, the data point is considered an outlier. These outliers may be caused by errors or anomalies in the original data, or by problems in the normalization process.

[0053] By checking the normalized results, the normalized results without abnormalities are used for the subsequent construction of a general physical entity digital model.

[0054] S2. Using the normalized characteristic elements of the multi-brand equipment obtained in step S1, a universal physical entity digital model is constructed for the multi-brand equipment. The model creation process is as follows: Figure 1 As shown, the specific model creation method is as follows:

[0055] S21. Design the architecture of a universal physical entity digital model for multi-brand equipment. The model architecture is as follows: Figure 2 The architecture design includes: general conceptual model design, general logical model design, and general physical model design.

[0056] S211. In the design of the general concept model, the main hardware entities of multi-brand equipment are identified, that is, from the data collected from the three brands of brand A, brand B and brand C, the main hardware entities of the three brands are identified based on the product manuals. In this embodiment, the hardware is identified, such as the appearance of the hardware such as the rack, board, interface, signal light, etc., which are the elements of the model construction;

[0057] S212. In the design of the general conceptual model, the relationship between the main hardware entities of the multi-brand equipment is defined, and the relationship between the hardware entities is determined, such as the inclusion relationship, connection relationship, interaction relationship, etc.; in this embodiment, such as the plug-in connection relationship between the board and the rack, the connection relationship between the optical cable and the optical interface of the board, the interaction relationship between the working status of the board and the brightness of the signal light, etc.

[0058] S213. In the design of the general logic model, define the simulation data structures that need to be stored in the database, such as tables, fields, etc.; these data structures will be used to simulate the actual operating status, performance parameters, configuration information, etc. of the SDH equipment, so as to conduct testing, development and training without affecting the actual production environment.

[0059] In this embodiment, in the design of the simulation data structure table 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 equipment, such as basic equipment information, port configuration, service configuration, performance monitoring, etc. The specific tables and descriptions are as follows, see Table 3;

[0060] Table 3 Simulation data structure table and description in the database of this embodiment

[0061]

[0062] The definition of the field is based on the actual requirements of the SDH equipment and the level of detail of the simulation model. In the simulation data structure table, specific fields need to be defined to store the corresponding data. In this embodiment, the specific defined fields and data types are shown in Table 4-8;

[0063] Table 4 DeviceInfo table in this embodiment

[0064]

[0065] Table 5 PortConfig table in this embodiment

[0066] Field Name Data Types describe PortID INT Unique identifier for the port DeviceID INT The ID of the device to which it belongs PortNumber INT Port Number Speed INT Port Speed ​​(Mbps) Status VARCHAR Port status (enabled / disabled)

[0067] Table 6 ServiceConfig table in this embodiment

[0068]

[0069] Table 7 Performance table in this embodiment

[0070] Field Name Data Types describe RecordID INT Unique identifier for the record DeviceID INT The ID of the device to which it belongs Timestamp DATETIME Recording time TransmissionRate DECIMAL Transfer rate (Mbps) ErrorRate DECIMAL Bit error rate (%) PacketLossRate DECIMAL Packet loss rate (%)

[0071] Table 8 AlarmLog table in this embodiment

[0072] Field Name Data Types describe AlarmID INT Unique identifier of the alert DeviceID INT The ID of the device to which it belongs AlarmType VARCHAR Alarm Type AlarmTime DATETIME Alarm time Description TEXT Alarm Description

[0073] S214. Formulate rules for virtual device interaction logic and data processing in the general conceptual model;

[0074] When building a "simulated digital model" of a general SDH (Synchronous Digital Hierarchy) device, one of the key parts in the "logical model" design is to define the business logic between the "virtual hardware". These business logics simulate the interaction and data flow between the hardware components in the actual SDH device to ensure that the simulation model can accurately reflect the operating status of the actual device. In this embodiment, the protection switching business logic in the SDH network is as follows:

[0075] ●Monitoring status: Real-time monitoring of the status information of the working path and protection path, including signal quality, alarm status, etc.

[0076] Fault diagnosis: Determine whether a fault occurs on the working path based on the monitored status information.

[0077] ● Trigger switching: If a working path fails, the protection switching mechanism is triggered.

[0078] Switch the service to the protection path.

[0079] · Service restoration: Restore service transmission on the protection path and continue to monitor the status of the working path.

[0080] Switchback: If the working path returns to normal, the service is switched back to the working path according to the preset policy (such as manual or automatic).

[0081] S215. In the design of universal physical models, define the geometric data such as the shape, size, assembly relationship, and universal data of physical entities in the conceptual model of multi-brand equipment, as well as the human-computer interaction relationship in teaching;

[0082] In this embodiment, the geometric structure data is to define the appearance, size, assembly relationship, etc. of the physical entity (such as the physical entity of the equipment sub-rack, component board, device, system interface, etc. that needs to simulate the equipment). The universal data is to define the "northbound data" such as "bandwidth, bit error rate, transmission rate" that characterizes the equipment. The human-computer interaction relationship is to define the virtual teaching requirements based on the general SDH equipment physical entity digital model, and define the human-computer interaction relationship in the teaching such as equipment activation, board configuration, troubleshooting operations, etc.

[0083] S22, using the normalized characteristic elements obtained in step S1 and the architecture designed in step S21 to simulate the conceptual model, thereby obtaining a universal physical entity digital model of multi-brand SDH equipment.

[0084] S221. Use a graphical tool to build a conceptual model to show the relationship between the main hardware entities of multi-brand devices. Use a graphical tool to build a conceptual model to show the relationship between the main hardware entities of multi-brand devices. In this embodiment, the graphical tool used is Autodesk Maya.

[0085] Autodesk Maya is a powerful graphics tool software that integrates the most advanced animation and digital effects technology of Alias ​​and Wavefront. Using Autodesk Maya graphics tools, the steps of building digital models mainly include the following steps:

[0086] ●Planning and preparation: Before you start modeling, you need to determine the details, shape, and size of the model, and collect reference pictures or make sketches.

[0087] ●Create basic geometry: Use Maya's basic modeling tools, such as cubes, cylinders, spheres, etc. to create the basic shape of the model. Resize, rotate or translate as needed.

[0088] ●Add details: Add details such as edges, depressions, protrusions, etc. to basic geometry to make the model more realistic. You can use subdivision surfaces, cutting tools, extrusion and other functions.

[0089] ●Adjust topology: Optimize the topology of the model to ensure a low number of faces and good streamlines. Use Maya's topology editing tools, such as merging vertices, edge loops, etc., to adjust the shape of the model.

[0090] Add materials and maps: Apply appropriate materials and maps to the model to increase surface detail and realism. You can use Maya's Material Editor, select the appropriate material type, and import maps in the Map Editor.

[0091] ● Adjust lighting and rendering: Set up appropriate lighting and environment for the model to produce suitable shadows and reflections during rendering. Use Maya's lighting tools and renderer to make adjustments.

[0092] Texture Mapping and UV Unwrapping: Unwrap the UVs of the models that need to be mapped to maintain the consistency of the model surface during the texture mapping process. Use Maya's UV editing tools to unwrap and adjust.

[0093] ●Test and correct: Test render the model and see if further adjustments and corrections are needed. Perform multiple tests and corrections as needed until you achieve a satisfactory result.

[0094] ●Export and apply: After completing modeling, export the model into an appropriate format for use in other software or for further processing such as animation and special effects.

[0095] By following this modeling process, you can create high-quality, photorealistic models in Maya.

[0096] S222, using the normalized characteristic elements obtained in step S1 and the defined geometric data, universal data and the human-computer interaction relationship in teaching, the conceptual model is subjected to geometric simulation, physical simulation and logical simulation, thereby obtaining a universal physical entity digital model of multi-brand SDH equipment.

[0097] In this embodiment, the interface screenshot of the final universal physical entity digital model is as follows: Figure 4 shown.

[0098] Embodiment 2:

[0099] After using the universal physical entity digital model of multi-brand SDH equipment obtained in Example 1, in order to verify the correctness of the digital model, a series of specific data needs to be input to simulate the operating conditions and performance of the actual SDH equipment. To this end, this example verifies the simulation digital model by inputting the following specific data covering the equipment configuration information, service parameters, performance indicators and possible fault scenarios.

[0100] (I) Verify the data type of the simulation digital model

[0101] 1. Device configuration information

[0102] Port configuration: rate, type (such as STM-1, STM-4, STM-16, etc.), status (enabled / disabled), optical or electrical interface type, etc. of each port.

[0103] Service configuration: service type (such as point-to-point, ring network protection), service bandwidth, source port and destination port, etc.

[0104] 2. Business parameters

[0105] Signal multiplexing and demultiplexing parameters: including multiplexing structure (such as AU-4, TU-12 / TU-3, etc.), pointer adjustment mechanism, overhead byte configuration, etc.

[0106] Protection switching parameters: configuration of working path and protection path, switching trigger conditions, switching recovery strategy, etc.

[0107] Cross-connection parameters: configuration of the cross-connection matrix, service routing planning, etc.

[0108] 3. Performance indicators

[0109] Transmission performance: transmission rate, bit error rate, jitter, drift, etc.

[0110] Device performance: processing latency, throughput, resource utilization (e.g., cache occupancy, CPU usage), etc.

[0111] 4. Fault scenario data

[0112] Simulate fault types: such as fiber breakage, equipment failure, power outage, etc.

[0113] Failure occurrence time: used to simulate sudden failures or planned maintenance.

[0114] Fault recovery strategies: such as automatic switching, manual recovery, etc.

[0115] 5. Verification and test data

[0116] · Test cases: Design a series of test cases to cover different business scenarios and failure conditions.

[0117] Expected results: For each test case, define the expected device behavior, performance indicators, and alarm information.

[0118] Actual results: After running the test cases on the digital model, record the actual results obtained.

[0119] (II) Verify the data input into the simulation digital model

[0120] According to the determined input method, the prepared data is input into the model.

[0121] GUI Input: Fill out forms, select menu items, or click buttons on a GUI interface to enter data. Be careful to check the accuracy and completeness of the data.

[0122] CLI input: Open the command line interface and enter the corresponding commands and parameters to configure the model. Make sure the command syntax is correct and check whether the output of the command is as expected.

[0123] API input: Write programs or scripts to transfer data to the model through API calls. Pay attention to handling API authentication and authorization issues, and ensure the security and reliability of data transmission.

[0124] Configuration file input: Edit the parameters in the configuration file, then save the file and restart the model for the changes to take effect. Pay attention to the format and syntax requirements of the configuration file.

[0125] (III) Verification steps of simulation digital model

[0126] 1. Data input: According to the above data types, input specific data into the digital model.

[0127] 2. Run the test: Use the designed test cases to simulate the actual operation and record the actual results.

[0128] 3. Result comparison: Compare the actual results with the expected results to check whether the digital model can correctly reflect the operating status and performance of the actual SDH equipment.

[0129] 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.

[0130] 5. Repeat verification: Repeat the above steps as needed until the digital model reaches the expected accuracy and reliability.

[0131] (IV) Verification results of the simulation digital model

[0132] After entering the data, you need to verify the correctness of the data and the response of the model.

[0133] Observe model responses: Check whether the model processes the input data in the expected way and generates the corresponding output or results.

[0134] Test model functionality: Run test cases to verify that the model's functionality and performance meet requirements.

[0135] Through the above verification steps, the verification effect of this example model is that the correctness of the device appearance response can reach 99%, and the correctness of the output data response can reach 98%.

[0136] 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 principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment, characterized in that: The following steps are involved: S1. Normalize the original feature elements of multi-brand devices to obtain normalized feature elements of multi-brand devices; S2. Use the normalized characteristic elements of the multi-brand equipment obtained in step S1 to construct a universal physical entity digital model for the multi-brand equipment.

2. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment according to claim 1, characterized in that: 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 equipment; S12. Collect specific indicators or parameters of the characteristic elements of each brand of equipment; S13. Normalize the same index or parameter of the normalized characteristic elements of each brand of equipment to obtain the normalized characteristic elements of multi-brand equipment.

3. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment according to claim 2, characterized in that: In step S13, the same index or parameter of each brand of equipment characteristic element is subjected to standardized calculation processing, and the normalization formula is as follows: Z=(X-Xmin) / (Xmax-Xmin) Among them, X is the original data, Xmin and Xmax are the minimum and maximum values ​​in the original data set, respectively, so that the original data can be linearly mapped to the interval [0,1].

4. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment according to claim 1, characterized in that: The specific method for constructing a universal physical entity digital model for multi-brand equipment in step S2 is as follows: S21. Design the architecture of a universal physical entity digital model for multi-brand equipment; S22, using the normalized characteristic elements obtained in step S1 and the architecture designed in step S21 to simulate the conceptual model, thereby obtaining a universal physical entity digital model of multi-brand SDH equipment.

5. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment according to claim 4, characterized in that: The step S21 performs architecture design on a universal physical entity digital model of multi-brand equipment, including the following steps: S211. Identify the main hardware entities of multi-brand devices; S212. defining the relationship between the main hardware entities of multi-brand devices; S213, defining the simulation data structure to be stored in the database; S214. Formulate rules for virtual device interaction logic and data processing in digital models; S215. Define the geometric data such as the shape, size, assembly relationship, etc. of the physical entities in the digital models of multi-brand equipment, general data, and the human-computer interaction relationship in teaching.

6. A method for constructing a universal physical entity digital model based on multi-brand SDH equipment according to claim 4, characterized in that: The simulation of the conceptual model in step S22 includes the following steps: S221. Use graphical tools to build conceptual models to show the relationships between the main hardware entities of multi-brand devices; S222, using the normalized characteristic elements obtained in step S1 and the defined geometric data, universal data and the human-computer interaction relationship in teaching, the conceptual model is subjected to geometric simulation, physical simulation and logical simulation, thereby obtaining a universal physical entity digital model of multi-brand SDH equipment.

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