Topological generation method and device for topological graph based on topological base construction

Abstract

The invention provides a topological graph logic generation method and device based on topological base construction, and relates to the technical field of topological graph generation. The topological graph logic generation method based on topological base construction comprises the steps that topological bases are defined and stored, the topological bases are basic units forming a topological graph and comprise nodes and edges connected with the nodes, and each topological base can comprise one or more nodes and edges; the defined topology bases are stored in a database, and each topology base is endowed with a unique identifier; selecting and combining topological bases, selecting a proper topological base according to application requirements, and constructing a more complex topological structure by combining a plurality of topological bases; and logic generation of the topological graph, wherein the logic generation comprises generation of nodes and edges, establishment of a logic relationship and optimization of the topological graph. And by adopting a distributed architecture, the storage, combination and generation processes of the topology base are distributed on a plurality of computing nodes, so that the expandability and the processing capability of the system are further improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of topology graph generation, in particular to a topology graph logic generation method and device based on topology base construction. BACKGROUND

[0002] In recent years, with the continuous expansion of the scale of complex systems, the automatic generation technology of topology graph logic has shown increasing application value in network planning, integrated circuit design, intelligent transportation and other fields. As a formal description method, topology graph logic can accurately express the spatial correlation and dynamic behavior constraints between system components, providing a mathematical basis for system verification and optimization.

[0003] Traditional topology logic generation methods are mainly based on graph theory and discrete mathematics theory, and logical rules are constructed by analyzing the connection relationship between nodes and edges. In early research, expert systems were widely used in network topology rule extraction, and basic predicates such as connectivity and reachability were defined manually to generate preliminary logical constraints. With the development of machine learning technology, topology feature extraction methods based on graph neural networks have gradually become a research hotspot. Such methods can learn topology patterns from historical data and generate corresponding logical expressions.

[0004] Topology graphs have a wide range of applications in computer science, network design, geographic information systems and other fields. Traditional topology graph generation methods usually rely on predefined templates or manual design, which is difficult to adapt to complex and dynamic application scenarios. In recent years, topology graph generation methods based on topology base have gradually attracted attention, but the logic generation process still has problems such as low efficiency and poor flexibility. Therefore, the technical personnel in the field provide a topology graph logic generation method and device based on topology base construction to solve the problems raised in the background technology. SUMMARY

[0005] (I) Technical problems to be solved

[0006] In view of the deficiencies of the prior art, the present application provides a topology graph logic generation method and device based on topology base construction, which solves the problems of low efficiency and poor flexibility in the existing topology graph logic generation process.

[0007] (II) Technical solutions

[0008] To achieve the above purpose, the present application is implemented by the following technical solutions: a topology graph logic generation method based on topology base construction, comprising:

[0009] Definition and storage of topology base, topology base is the basic unit of topology graph, including nodes and edges connecting nodes, each topology base can contain one or more nodes and edges; store the defined topology base in the database, each topology base is given a unique identifier;

[0010] The selection and combination of topology bases, according to application requirements, selecting appropriate topology bases, constructing more complex topology structures by combining multiple topology bases;

[0011] Logical generation of topology graph, including generation of nodes and edges, establishment of logical relationship and optimization of topology graph;

[0012] Verification and adjustment of topology graph, verifying the generated topology graph to ensure that it meets the application requirements, and making necessary adjustments and modifications to the topology graph according to the verification results.

[0013] Preferably, the definition and storage of the topology base includes the following steps:

[0014] S1. Definition of topology base, topology base is the basic unit of complex topology graph, usually composed of nodes and edges connecting nodes, each topology base can represent a specific physical or logical entity, including network topology base: including routers, switches, servers and firewalls and other network devices and their connection relationship; geographic information system topology base: including city, town, road, river geographic elements and their connection relationship; power system topology base: including power plants, substations, transmission lines and distribution lines and other power equipment and their connection relationship;

[0015] S2. Attributes of topology base, each topology base should contain the following attributes: unique identifier, node list, edge list and metadata, wherein the unique identifier is used to uniquely identify each topology base; the node list includes the list of all nodes in the topology base, each node should contain its attributes, including but not limited to name, type and location, the edge list includes the list of all edges in the topology base, each edge should contain its attributes, including but not limited to start point, end point, type and weight, metadata contains other related information of the topology base, including but not limited to creation time, author and version;

[0016] S3. Storage of topology base, topology base should be stored in database, either relational database or graph database can be used, including relational database and graph database, using table to store nodes and edges, node table and edge table are associated through foreign key, using nodes and edges as basic data structure, supporting efficient graph traversal and query.

[0017] Preferably, the selection and combination of topology bases includes the following steps:

[0018] S1. Selection of topology base, according to application requirements, selecting appropriate topology base, considering the following factors in the selection process: application scenario, functional requirements and performance requirements;

[0019] S2. Combination of topology base, combining multiple topology bases to construct more complex topology structure, the combination process should follow the following steps:

[0020] Determining connection relationships: analyzing the nodes and edges of each topology base, determining the connection relationships between them;

[0021] Splicing topology bases: according to the determined connection relationships, splicing the topology bases to form a preliminary topology graph, the splicing process can use the merging operation in graph theory, including node merging, merging shared nodes into one node; edge merging, merging edges connecting the same nodes into one edge.

[0022] Preferably, the logical generation of the topology graph includes the following steps:

[0023] S1. Node and edge generation, extracting node and edge information from the combined topology base, generating nodes and edges of the topology graph, the specific steps are as follows: node generation, traversing the node list of all topology bases, generating the node set of the topology graph; edge generation, traversing the edge list of all topology bases, generating the edge set of the topology graph;

[0024] S2. Establishment of logical relationships, establishment of logical relationships between nodes, including but not limited to parent-child relationship, dependency relationship and hierarchical relationship, the establishment of logical relationships can be realized by the following ways: manual definition, manually defining the logical relationships between nodes according to application requirements; automatic inference, automatically inferring the logical relationships between nodes based on node type, position and connection relationship;

[0025] S3. Optimization of the topology graph, optimizing the generated topology graph to improve readability and practicality, the optimization process can include:

[0026] Removing redundant nodes and edges, removing duplicate nodes and edges;

[0027] Adjusting node position, adjusting the position of nodes according to hierarchical relationship or geographic coordinates;

[0028] Simplifying topology structure, merging adjacent nodes or edges to reduce the complexity of the topology graph.

[0029] Preferably, the verification and adjustment of the topology graph includes the following steps:

[0030] S1. Verification of the topology graph, verifying the generated topology graph to ensure that it meets the application requirements, the verification process includes:

[0031] Function verification, checking whether the topology graph contains all necessary devices or elements;

[0032] Performance verification, checking whether the topology graph meets the performance requirements;

[0033] Consistency verification, checking whether the topology graph is consistent with the predefined template or standard;

[0034] S2. Adjustment of the topology graph, according to the verification results, necessary adjustments and modifications are made to the topology graph, and the adjustment process includes:

[0035] Adding or deleting nodes and edges, adding new devices or elements or deleting unnecessary devices or elements according to requirements;

[0036] Modifying the attributes of nodes and edges, updating the attributes of the types, positions and connection relationships of nodes or edges;

[0037] Adjusting the topology structure, rearranging the positions of nodes and edges, and optimizing the layout of the topology graph.

[0038] Preferably, the selection and combination of the topology base further include data collection and preprocessing and model training and optimization, wherein the data collection and preprocessing:

[0039] Collecting historical topology graph generation data, including the used topology base combination, the generated topology graph structure, and the application scenario requirements, collecting real-time application scenario data, including but not limited to network traffic, device status and environmental parameters, cleaning the collected data to remove noise and redundant information, extracting features from the data, identifying key factors affecting topology graph generation, and standardizing the data to ensure comparability of different features;

[0040] Model training and optimization, selecting appropriate machine learning models, including but not limited to recommendation system models, reinforcement learning models and deep learning models, and training the selected models using preprocessed historical data.

[0041] A topology graph logical generation device based on topology base construction, comprising:

[0042] Topology base storage module, responsible for defining and storing topology base, each topology base contains node and edge information, and is assigned a unique identifier;

[0043] Topology base selection and combination module, according to application requirements, select appropriate topology base, through the combination of multiple topology base, construct more complex topology structure;

[0044] Topology graph generation module, extract node and edge information from the combined topology base, generate nodes and edges of the topology graph, and establish logical relationships between nodes;

[0045] Topology graph optimization module, verify the generated topology graph to ensure that it meets the application requirements, and make necessary adjustments and modifications to the topology graph according to the verification results.

[0046] Preferably, the implementation of the topological base storage module includes database design, data import and data management; the implementation of the topological base selection and combination module includes selection algorithm, combination algorithm and user interaction; the topological graph generation module includes node and edge extraction, logical relationship establishment and topological graph construction; the implementation of the topological graph optimization module includes redundant node and edge removal, node position adjustment and topological structure simplification; and the implementation of the topological graph verification and adjustment module includes verification algorithm, adjustment algorithm and user interaction.

[0047] (III) Beneficial Effects

[0048] The application provides a topological graph logic generation method and device based on a topological base.

[0049] 1. In the application, a complex topological graph can be quickly generated through a predefined topological base and an efficient combination algorithm, which significantly reduces the generation time compared to traditional manual drawing or template-based methods, especially for large-scale and complex systems, and can support parallel processing of the combination and generation process of multiple topological bases, further improving the generation efficiency.

[0050] 2. In the application, a dynamic combination mechanism is introduced, which can adjust the combination mode of the topological base in real time according to the changes of the application scene, and users can define new topological bases and add them to the topological base library, which can adapt to the individual needs of different fields and industries.

[0051] 3. In the application, a distributed architecture is adopted, which distributes the storage, combination and generation process of the topological base on multiple computing nodes, further improving the scalability and processing capacity of the system, and can also be deployed on different operating systems and hardware platforms, supporting multiple databases and data sources, and having good cross-platform compatibility.

[0052] 4. In the application, it is not only suitable for traditional network design and geographic information systems, but also can be widely applied to intelligent transportation systems, smart grids, Internet of Things and industrial automation fields, and its modular and scalable characteristics make it adapt to the individual needs of different fields and industries. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 The flowchart of the overall method of the application;

[0054] Figure 2 The flowchart of the definition and storage of the topological base in the application;

[0055] Figure 3 The flowchart of the selection and combination of the topological base in the application;

[0056] Figure 4This is a schematic diagram illustrating the logical generation process of the topology graph in this invention;

[0057] Figure 5 This is a schematic diagram illustrating the verification and adjustment process of the topology diagram in this invention;

[0058] Figure 6 This is a schematic diagram of the topology graph logic generation device. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] Example 1:

[0061] like Figures 1-6 As shown, this embodiment of the invention provides a method for generating a topology graph logic based on topology base construction, including:

[0062] The definition and storage of topological bases: A topological base is the basic unit that makes up a topological graph, including nodes and edges connecting the nodes. Each topological base can contain one or more nodes and edges. The defined topological bases are stored in the database, and each topological base is assigned a unique identifier.

[0063] The selection and combination of topological bases: Based on application requirements, select appropriate topological bases and construct more complex topological structures by combining multiple topological bases;

[0064] The logical generation of topology graphs includes the generation of nodes and edges, the establishment of logical relationships, and the optimization of topology graphs.

[0065] The topology diagram is validated and adjusted to ensure it meets application requirements. Based on the validation results, necessary adjustments and modifications are made to the topology diagram.

[0066] The definition and storage of a topological base includes the following steps:

[0067] S1. Definition of Topology Base: A topology base is the basic unit that constitutes a complex topology graph. It is usually composed of nodes and edges connecting the nodes. Each topology base can represent a specific physical or logical entity, including network topology bases: including network devices such as routers, switches, servers, and firewalls and their connections; geographic information system topology bases: including geographic elements such as cities, towns, roads, and rivers and their connections; and power system topology bases: including power equipment such as power plants, substations, transmission lines, and distribution lines and their connections.

[0068] S2. Attributes of the topology base, each topology base should contain the following attributes: unique identifier, node list, edge list, and metadata, where the unique identifier is used to uniquely identify each topology base; the node list includes a list of all nodes in the topology base, each node should contain its attributes, including but not limited to name, type, and location, the edge list includes a list of all edges in the topology base, each edge should contain its attributes, including but not limited to start point, end point, type, and weight, and the metadata contains other related information of the topology base, including but not limited to creation time, author, and version;

[0069] S3. Storage of topology base, topology base should be stored in a database, either relational database or graph database, including relational database and graph database, using table to store nodes and edges, node table and edge table are associated through foreign key, using node and edge as basic data structure, supporting efficient graph traversal and query.

[0070] The selection and combination of topology base includes the following steps:

[0071] S1. Selection of topology base, according to application requirements, select appropriate topology base, consider the following factors in the selection process: application scenario, functional requirements, and performance requirements;

[0072] S2. Combination of topology base, combine multiple topology bases to build more complex topology structure, the combination process should follow the following steps:

[0073] Determine the connection relationship: analyze the nodes and edges of each topology base, and determine the connection relationship between them;

[0074] Splice topology base: according to the determined connection relationship, splice the topology base to form a preliminary topology graph, the splicing process can use the merging operation in graph theory, including node merging, merging shared nodes into one node; edge merging, merging edges connecting the same nodes into one edge.

[0075] The logical generation of topology graph includes the following steps:

[0076] S1. Generation of nodes and edges, extract node and edge information from the combined topology base to generate nodes and edges of the topology graph, the specific steps are as follows: node generation, traverse the node list of all topology bases to generate the node set of the topology graph; edge generation, traverse the edge list of all topology bases to generate the edge set of the topology graph;

[0077] S2. Establishment of logical relationships, establish the logical relationships between nodes, including but not limited to parent-child relationship, dependency relationship and hierarchical relationship, the establishment of logical relationship can be realized by the following ways: manual definition, according to the application requirement, manually define the logical relationship between nodes; automatic inference, based on node type, position and connection relationship, automatically infer the logical relationship between nodes;

[0078] S3. Optimization of topology graph, optimize the generated topology graph to improve readability and practicality, the optimization process can include:

[0079] Removing redundant nodes and edges, removing duplicate nodes and edges;

[0080] Adjusting node position, adjusting the position of nodes according to hierarchical relationship or geographical coordinates;

[0081] Simplify topology structure, merge adjacent nodes or edges, reduce the complexity of topology graph.

[0082] Verification and adjustment of topology graph includes the following steps:

[0083] S1. Verification of topology graph, verify the generated topology graph to ensure that it meets the application requirements, the verification process includes:

[0084] Function verification, check whether the topology graph contains all necessary devices or elements;

[0085] Performance verification, check whether the topology graph meets the performance requirements;

[0086] Consistency verification, check whether the topology graph is consistent with the predefined template or standard;

[0087] S2. Adjustment of topology graph, according to the verification result, make necessary adjustment and modification to the topology graph, the adjustment process includes:

[0088] Add or delete nodes and edges, according to the demand, add new devices or elements, or delete unnecessary devices or elements;

[0089] Modify the attributes of nodes and edges, update the type, position and connection relationship of nodes or edges;

[0090] Adjust the topology structure, rearrange the position of nodes and edges, optimize the layout of topology graph.

[0091] The selection and combination of topology base also includes data collection and preprocessing and model training and optimization, wherein the data collection and preprocessing:

[0092] Collect historical topology graph generation data, including the topology base combination used, the topology graph structure generated, and the application scenario requirements. Collect real-time application scenario data, including but not limited to network traffic, device status, and environmental parameters. Clean the collected data, remove noise and redundant information, extract features from the data, identify key factors affecting topology graph generation, and standardize the data to ensure comparability of different features.

[0093] Model training and optimization, select appropriate machine learning models, including but not limited to recommendation system models, reinforcement learning models, and deep learning models, and train the selected models using preprocessed historical data.

[0094] A topology graph logic generation device based on topology base construction, comprising:

[0095] Topology base storage module, responsible for defining and storing topology bases, each topology base containing node and edge information, and assigned a unique identifier;

[0096] Topology base selection and combination module, select appropriate topology bases according to application requirements, and construct more complex topology structures by combining multiple topology bases;

[0097] Topology graph generation module, extract node and edge information from combined topology bases, generate topology graph nodes and edges, and establish logical relationships between nodes;

[0098] Topology graph optimization module, verify the generated topology graph to ensure it meets application requirements, and make necessary adjustments and modifications to the topology graph based on verification results.

[0099] The implementation of the topology base storage module includes database design, data import, and data management; the implementation of the topology base selection and combination module includes selection algorithms, combination algorithms, and user interaction; the topology graph generation module includes node and edge extraction, logical relationship establishment, and topology graph construction; the implementation of the topology graph optimization module includes redundant node and edge removal, node position adjustment, and topology structure simplification; the implementation of the topology graph verification and adjustment module includes verification algorithms, adjustment algorithms, and user interaction.

[0100] Embodiment two:

[0101] The power system is a complex network system, including power plants, substations, transmission lines, distribution lines, and users, etc. The topology graph of the power system needs to accurately reflect the connection relationship of power equipment and the direction of power flow. Traditional topology graph generation methods usually rely on manual drawing or template-based generation, which is difficult to meet the needs of accuracy, real-time and maintainability of the power system. Therefore, this embodiment is based on the topology base construction method to realize the automatic generation and dynamic adjustment of the power system topology graph.

[0102] Definition of Topological Base and Storage

[0103] First, according to the requirements of the power system, the following categories of topological base are defined:

[0104] Power plant topological base:

[0105] Nodes: generators, transformers, and switching devices;

[0106] Edges: connection relationships between generators and transformers, transformers and switching devices;

[0107] Attributes: generator types, capacities, transformer capacities, and voltage levels;

[0108] Substation topological base:

[0109] Nodes: main transformers, distribution transformers, circuit breakers, and disconnectors;

[0110] Edges: connection relationships between main transformers and distribution transformers, circuit breakers and disconnectors;

[0111] Attributes: transformer capacities, voltage levels, and circuit breaker models;

[0112] Substation topological base:

[0113] Nodes: main transformers, distribution transformers, circuit breakers, and disconnectors;

[0114] Edges: connection relationships between main transformers and distribution transformers, circuit breakers and disconnectors;

[0115] Attributes: transformer capacities, voltage levels, and circuit breaker models;

[0116] Transmission line topological base:

[0117] Nodes: transmission towers, insulators;

[0118] Edges: connection relationships between transmission towers and transmission towers;

[0119] Attributes: line lengths, voltage levels, and current carrying capacities;

[0120] Distribution line topological base:

[0121] Nodes: distribution transformers, distribution switch boxes, and user access points;

[0122] Edges: connection relationships between distribution transformers and distribution switches, distribution switches and user access points;

[0123] Attributes: distribution transformer capacities, voltage levels, and user access point quantities;

[0124] User topological base:

[0125] Node: user electrical equipment;

[0126] Edge: connection relationship between user electrical equipment and user access point;

[0127] Attribute: electrical equipment type and power;

[0128] These topology bases are stored in a database, each containing detailed node, edge and attribute information;

[0129] Selection and combination of topology bases

[0130] According to the specific needs of the power system, select appropriate topology bases and combine them, for example:

[0131] Urban power distribution network scenario:

[0132] Select multiple substation topology bases distributed in different areas of the city; select transmission line topology bases connecting substations and distribution lines; select distribution line topology bases connecting substations and users; select user topology bases representing different types of user electrical equipment;

[0133] Combination process:

[0134] Determine the connection relationship: substations and transmission lines are connected through circuit breakers and disconnectors, transmission lines and distribution lines are connected through distribution transformers, and distribution lines and users are connected through user access points;

[0135] Splice topology bases: splice the topology bases of substations, transmission lines, distribution lines and users, add connection lines, and form a complete power system topology graph;

[0136] Logical generation of topology graph

[0137] Node and edge generation:

[0138] Extract node and edge information from combined topology bases to generate nodes and edges of the power system topology graph; for example, generate nodes such as generators, transformers, circuit breakers, transmission towers, distribution transformers and user electrical equipment, and their connection lines;

[0139] Establishment of logical relationship:

[0140] Establish the logical relationship between nodes, the power transmission relationship between generators and transformers, the connection relationship between substations and transmission lines, and the power distribution relationship between distribution lines and users;

[0141] Optimization of topology graph:

[0142] Remove redundant nodes and edges, such as repeated circuit breakers or connection lines;

[0143] Adjusting node position, adjusting the position of the node according to geographical coordinates or voltage level;

[0144] Simplifying topology, merging adjacent nodes or edges, reducing the complexity of the topology graph;

[0145] Verification and adjustment of the topology graph

[0146] Verification: check whether the topology graph contains all necessary power equipment and connection relationships;

[0147] Verify whether the attributes of nodes and edges meet the requirements of the power system, and make necessary adjustments and modifications to the topology graph according to the verification results.

[0148] Although embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for generating a topology graph logic based on topology-based construction, characterized in that: Comprise: Definition and storage of topology base, which is the basic unit of topology graph, including nodes and edges connecting nodes, each topology base can contain one or more nodes and edges; store the defined topology base in the database, each topology base is given a unique identifier; Selection and combination of topology base, according to the application requirements, select the appropriate topology base, by combining multiple topology base, build more complex topology structure; Logical generation of topology graph, including generation of nodes and edges, establishment of logical relationship and optimization of topology graph; Verification and adjustment of topology graph, verify the generated topology graph to ensure that it meets the application requirements, and make necessary adjustments and modifications to the topology graph according to the verification result.

2. The method of claim 1, wherein: The definition and storage of the topology base includes the following steps: S1. Definition of topology base, which is the basic unit of complex topology graph, usually composed of nodes and edges connecting nodes, each topology base can represent a specific physical or logical entity, including network topology base: including routers, switches, servers and firewalls and other network devices and their connection relationship; geographic information system topology base: including city, town, road, river geographic elements and their connection relationship; power system topology base: including power plant, substation, transmission line and distribution line and other power equipment and their connection relationship; S2. Attributes of each topology base should include the following attributes: unique identifier, node list, edge list and metadata, where the unique identifier is used to uniquely identify each topology base; node list includes the list of all nodes in the topology base, each node should contain its attributes, including but not limited to name, type and location, edge list includes the list of all edges in the topology base, each edge should contain its attributes, including but not limited to start point, end point, type and weight, metadata contains other related information of the topology base, including but not limited to creation time, author and version; S3. Storage of topology base, topology base should be stored in the database, either relational database or graph database can be used, including relational database and graph database, using table to store nodes and edges, node table and edge table are associated through foreign key, using nodes and edges as basic data structure, supporting efficient graph traversal and query.

3. The method of claim 1, wherein: The selection and combination of topology base includes the following steps: S1. Selection of topology base, according to the application requirements, select the appropriate topology base, consider the following factors in the selection process: application scenario, functional requirements and performance requirements; S2. Combination of topology base, combine multiple topology base to build more complex topology structure, the combination process should follow the following steps: Determine the connection relationship: analyze the nodes and edges of each topology base, determine their connection relationship; Splice topology base: according to the determined connection relationship, splice the topology base to form a preliminary topology graph, the splicing process can use the merging operation in graph theory, including node merging, merging shared nodes into one node; edge merging, merging edges connecting the same nodes into one edge.

4. The method of claim 1, wherein: The logical generation of topology graph includes the following steps: S1. Node and edge generation, extract node and edge information from combined topology base, generate nodes and edges of topology graph, specific steps as follows: node generation, traverse all node lists of topology base, generate node set of topology graph; edge generation, traverse all edge lists of topology base, generate edge set of topology graph; S2. Establishment of logical relationship, establish logical relationship between nodes, including but not limited to parent-child relationship, dependency relationship and hierarchical relationship, establishment of logical relationship can be realized by the following ways: manual definition, according to application demand, manually define logical relationship between nodes; automatic inference, based on node type, position and connection relationship, automatically infer logical relationship between nodes; S3. Optimization of topology graph, optimize generated topology graph to improve readability and practicability, optimization process can include: removing redundant nodes and edges, removing duplicate nodes and edges; adjusting node position, adjusting node position according to hierarchical relationship or geographical coordinates; simplify topology structure, merge adjacent nodes or edges, reduce complexity of topology graph.

5. The method of claim 1, wherein: The verification and adjustment of the topology graph includes the following steps: S1. Verification of topology graph, verify the generated topology graph to ensure that it meets the application requirements, the verification process includes: function verification, check whether the topology graph contains all necessary devices or elements; performance verification, check whether the topology graph meets the performance requirements; consistency verification, check whether the topology graph is consistent with the predefined template or standard; S2. Adjustment of topology graph, according to the verification result, make necessary adjustment and modification to the topology graph, the adjustment process includes: add or delete nodes and edges, according to the demand, add new devices or elements, or delete unnecessary devices or elements; modify the attributes of nodes and edges, update the type, position and connection relationship of nodes or edges; adjust the topology structure, rearrange the position of nodes and edges, optimize the layout of topology graph.

6. The method of claim 1, wherein: The selection and combination of the topology base also includes data collection and preprocessing and model training and optimization, wherein the data collection and preprocessing: collect historical topology graph generation data, including used topology base combination, generated topology graph structure, application scenario demand, collect real-time application scenario data, including but not limited to network traffic, device status and environmental parameters, clean the collected data, remove noise and redundant information, extract features from the data, identify key factors affecting topology graph generation, standardize the data to ensure comparability of different features; model training and optimization, select appropriate machine learning models, including but not limited to recommendation system models, reinforcement learning models and deep learning models, train the selected model using preprocessed historical data.

7. A topology graph logic generation apparatus based on topology base construction, characterized by: including: topology base storage module, responsible for defining and storing topology base, each topology base contains node and edge information, and is assigned a unique identifier; topology base selection and combination module, select appropriate topology base according to application demand, construct more complex topology structure by combining multiple topology bases; topology graph generation module, extract node and edge information from combined topology base, generate nodes and edges of topology graph, and establish logical relationship between nodes; The topology graph optimization module verifies the generated topology graph to ensure that it meets the application requirements, and adjusts and modifies the topology graph as necessary according to the verification result.

8. The topology graph logical generation device based on topology base according to claim 7, characterized in that: The implementation mode of the topology base storage module includes database design, data import and data management; the implementation mode of the topology base selection and combination module includes selection algorithm, combination algorithm and user interaction; the topology graph generation module includes node and edge extraction, logical relationship establishment and topology graph construction; the implementation mode of the topology graph optimization module includes redundant node and edge removal, node position adjustment and topology structure simplification; the implementation mode of the topology graph verification and adjustment module includes verification algorithm, adjustment algorithm and user interaction.

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