Source-network-load-storage communication system based on digital twinning

Abstract

The invention discloses a source-network-load-storage communication system based on digital twinning. The system comprises a digital twinning application layer, a network layer and a physical layer. The digital twinning application layer inputs a demand into the digital twinning network layer, and the network layer processes the demand and then sends a control instruction to the digital twinning physical layer; the digital twin network layer comprises a data sharing warehouse subsystem, a service mapping model subsystem and a network twin management subsystem, and the data sharing warehouse subsystem collects and stores data in the digital twin physical layer and provides data service for the data mapping model subsystem; the service mapping model subsystem comprises a plurality of data models, and the network twin management subsystem is used for system management and data visualization. The digital twinning-based source-network-load-storage communication system architecture can comprehensively improve the digital capabilities of measurement sensing, analysis calculation, intelligent decision, feedback control and the like of a communication network, and better supports the new operation characteristics of wide range, multiple links and high timeliness of a large power grid.

Description

Technical Field

[0001] The present invention relates to power grid communication dispatching, and in particular to a source-grid-load-storage communication system based on digital twins. Background Art

[0002] The backbone optical communication system is an important basic support facility for the production control business of large-scale power grids. Its stable operation capability plays a decisive role in improving the reliability of large-scale power grid operations. With the construction of new power systems, the ultra-long distance, cross-level, and cross-regional characteristics of large-scale ultra-high voltage lines have brought new challenges to the digital transformation of traditional telecommunications systems.

[0003] How to achieve end-to-end rapid diagnosis and disposal of communication faults integrated with the power grid, early warning of operational risks and hazards related to power grid events, and dynamically optimize communication mode scheduling according to power grid demand are the core issues in the regulation and operation of power grid backbone optical communication systems.

[0004] Grid production has new characteristics in the context of the new power system, which puts forward new requirements for the dispatching and guarantee capabilities of the telecommunication system. The rapid development of large-scale power grids will bring about profound changes in their power supply structure, grid form, load characteristics, technical foundation and business model. Therefore, it is of great significance to analyze the cross-layer and cross-regional relationships and characteristics of the backbone optical communication system of large-scale power grids. Summary of the invention

[0005] Purpose of the invention: In view of the above shortcomings, the present invention provides a source-grid-load-storage communication system based on digital twins to solve the technical support problems of digital description, diagnosis, prediction and decision-making of the operation of the backbone optical communication system of the large power grid.

[0006] Technical solution: To solve the above problems, the present invention adopts a source-grid-load-storage communication system based on digital twins, which includes three levels: digital twin application layer, digital twin network layer and digital twin physical layer; the digital twin application layer is used to receive demands and input the demands into the digital twin network layer, and the digital twin network layer processes the demands and sends control instructions to the digital twin physical layer; the digital twin physical layer includes physical entities and communication-related business information in the end-to-end power telecommunications system; the digital twin network layer includes data domain, model domain and management domain, corresponding to three subsystems, namely: data A shared warehouse subsystem, a service mapping model subsystem and a network twin management subsystem. The data sharing warehouse subsystem is used to collect and store physical entities and business information data in the digital twin physical layer, and provide data services and a unified interface for the data mapping model subsystem. The service mapping model subsystem includes several data models. Based on the data in the data sharing warehouse subsystem, control instructions are obtained through data model processing according to the requirements of the digital twin application layer input, and the control instructions are sent to the physical entities in the digital twin physical layer. The network twin management subsystem is used for the management and data visualization of the digital twin network layer.

[0007] Furthermore, the physical entities in the physical layer of the digital twin include power stations, communication stations, equipment rooms in backbone communication systems, transmission lines, optical fiber cables, network elements and equipment in transmission networks, and grid control service equipment that carries large-scale grid protection, safety control and automation;

[0008] The communication-related business information in the digital twin physical layer includes power grid fault information, communication defect information, power grid maintenance information, communication maintenance information, power grid risk information, communication risk information, power grid demand information, and communication methods.

[0009] Furthermore, the data sharing warehouse subsystem includes the collection of communication data, the fusion of power grid data, data cleaning, data identification and the construction of a knowledge graph based on the data.

[0010] Furthermore, the data domain of the digital twin network layer is divided into different types, including:

[0011] According to the professional category, it includes the resource and status data of the power communication network itself, the power grid production system data, the daily operation of the power system, the computer room environment, the operating environment, the weather and disaster data;

[0012] According to the data source, it includes data from relevant operation support systems, data directly collected from smart devices, and data obtained from added external collection devices;

[0013] According to the data type, it includes structured data stored in databases and data recorded through paper reports of communication network failures;

[0014] According to the hierarchical structure of the digital twin data source of the power communication network, including the data of the provincial backbone communication network and the terminal communication access network;

[0015] According to the attributes of the data, it includes real-time data, historical data, performance data, and alarm data.

[0016] Furthermore, the service mapping model subsystem includes a data-driven model and a network mechanism model. The data-driven model includes several models for prediction and analysis through historical data, including a fault tolerance model, a risk prediction model, and a pattern orchestration model; the network mechanism model includes several models with clear definitions and calculation axioms, including a fiber degradation model, a subnet connection protection model, and a fault propagation chain model.

[0017] Furthermore, the service mapping model subsystem includes basic model, network model, topology model and node model according to the model type.

[0018] Furthermore, the network twin management subsystem is used to manage the digital twin network, and to record, visualize and control each element of the network twin throughout its life cycle, including a twin management module, a model management module and a data management module.

[0019] Furthermore, the digital twin application layer includes: visual extended reality, network planning, engineering construction, scheduling and operation, and emergency drills.

[0020] Beneficial effects: Compared with the prior art, the significant advantage of the present invention is that by studying the digital twin network architecture, twin modeling and perception interaction technology of the backbone optical communication system of the large power grid, the digital modeling and intelligent perception interaction of the backbone optical communication can be realized. The proposed source-grid-load-storage communication system architecture based on digital twin can comprehensively improve the digital capabilities of the communication network such as measurement sensing, analysis and calculation, intelligent decision-making, feedback control, etc., and better support the new operating characteristics of the large power grid with "wide coverage, multiple links and high time efficiency". BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the process of constructing a source-grid-load-storage communication system architecture based on digital twins in the present invention.

[0022] Figure 2 Schematic diagram of the architecture of the digital twin network of the power communication system in the present invention. DETAILED DESCRIPTION

[0023] like Figure 1 and Figure 2As shown, in this embodiment, a source-grid-load-storage communication system based on digital twins is constructed in the following process:

[0024] S1: First, build the architecture in the source-grid-load-storage communication system based on digital twins;

[0025] S2: Construct the digital twin application layer in the source-grid-load-storage communication system based on digital twin;

[0026] S3: Construct the digital twin network layer in the source-grid-load-storage communication system based on digital twin;

[0027] S4: Construct the digital twin physical layer in the source-grid-load-storage communication system based on digital twin;

[0028] S5: Construct the data domain of the twin network layer in the source-grid-load-storage communication system;

[0029] S6: Construct the model domain of the twin network layer in the source-grid-load-storage communication system;

[0030] S7: Construct the management domain of the twin network layer in the source-grid-load-storage communication system.

[0031] The architecture in the source-grid-load-storage communication system based on digital twins is designed as a "three-layer, three-domain, dual closed-loop" architecture;

[0032] Three layers: refers to the digital twin application layer, digital twin network layer and digital twin physical layer;

[0033] Three domains: data domain, model domain, and management domain of the twin network layer, corresponding to the three subsystems of data sharing warehouse, service mapping model, and network twin management respectively;

[0034] Double closed loop: refers to the "inner closed loop" simulation and optimization based on the service mapping model within the twin network layer, and the "outer closed loop control, feedback and optimization" of network applications based on the three-layer architecture.

[0035] The physical layer of the digital twin includes all physical entities that constitute the end-to-end power telecommunications system, such as power stations, communication stations, equipment rooms in backbone communication systems, transmission lines, optical fiber cables, various network elements and equipment in transmission networks, and grid control service equipment that carries large-scale grid protection, safety control, and automation.

[0036] The physical layer of the digital twin also includes business information such as power grid failures, communication defects, power grid maintenance, communication maintenance, power grid risks, communication risks, power grid demands, and communication methods.

[0037] The digital twin network layer is the hallmark of the digital twin network system and consists of three subsystems: data sharing warehouse, service mapping model, and network twin management;

[0038] The data sharing warehouse subsystem is responsible for collecting and storing various resources, monitoring and operating data, and providing data services and a unified interface for the data mapping model subsystem;

[0039] The service mapping model subsystem completes data-based modeling and provides data model instances for various network applications to maximize the flexibility and programmability of network services;

[0040] The network twin management subsystem is responsible for the full life cycle management and visualization of network twins.

[0041] The data sharing warehouse collects and stores various configuration and operation data of network entities through interfaces, forming a single source of truth for the digital twin network, providing accurate and complete data for various business models serving applications; including the collection of communication data, the integration of power grid data, data cleaning, data identification and the knowledge graph built based on the data. As the cornerstone of the digital twin network, the more complete and accurate the data in the data sharing warehouse, the richer and more accurate the data model will be.

[0042] As the data domain of the data twin network layer, the data sharing warehouse subsystem is the basic domain of the power communication digital twin network and an important basic link for realizing the collection, storage and fusion of various data. The construction of the power communication twin network involves multiple aspects of itself and external professions. It can be divided into different types:

[0043] According to the professional category, it includes the resources and status data of the power communication network itself, as well as the power grid production system (such as the power grid dispatching automation system involving communication network alarm information, etc.), and also includes the power system, computer room environment, operating environment, weather and disaster data related to the daily operation of power communication equipment rooms, power dedicated optical cable lines, etc.;

[0044] According to the data source, there are data from related operation support systems, data from devices directly collected by smart devices, and data that can only be obtained by adding external collection devices such as collection sensors;

[0045] According to the data type, it includes both structured data stored in databases and data recorded through paper reports of communication network failures, etc.

[0046] According to the digital twin data source hierarchy of the power communication network, it includes data from the provincial backbone communication network, the provincial backbone communication network, and the 10kV terminal communication access network;

[0047] According to the attributes of the data, the data can be divided into real-time data, historical data, performance data, alarm data, etc.;

[0048] Through centralized conversion of the data domain, multi-dimensional, multi-source heterogeneous data are transformed into a unified twin data form, providing unified data services for various models in the model domain (mechanism models, data-driven models).

[0049] The service mapping model subsystem, as the model domain in the digital twin network layer, includes two types of underlying models: data-driven models and network mechanism models. The data-driven models include fault tolerance models, risk prediction models, mode orchestration models, etc. The network mechanism models include fiber degradation models, subnet connection protection models, fault propagation chain models, etc.

[0050] Mechanism models mainly include a class of models with clear definitions and computational axioms that can be accurately calculated using the model and input parameters, such as: optical fiber degradation models for communication networks;

[0051] Data-driven models are another type of prediction and analysis model that can predict the system state under corresponding parameters through massive historical data analysis and extrapolation;

[0052] These two types of models complement each other and jointly utilize the unified data services provided by the digital twin network data domain to support various business applications such as power communication network prediction.

[0053] The network twin management subsystem, as a management domain in the digital twin network layer, includes: twin management, model management, and data management, providing support for the effective operation of the data domain and model domain.

[0054] When supporting power communication business applications and building core digital twin spaces, the resources required for twin space construction can be quickly allocated according to business needs, and relevant data resources can be integrated and model resources can be constructed according to business scenarios.

[0055] The digital twin application layer includes: visual extended reality (GIS, 3D, data profile, panoramic display), network planning, engineering construction, dispatching and operation (fault diagnosis, risk prevention and control, mode dispatching), emergency drills, etc.

[0056] The digital twin application layer inputs the requirements into the digital twin network layer and deploys services in the twin network layer through modeling instances;

[0057] Based on the data in the data sharing warehouse subsystem, the control instructions are obtained through data model processing according to the input requirements of the digital twin application layer, and the control instructions are sent to the physical entity in the digital twin physical layer. After sufficient verification, the twin network layer sends control updates downward to the physical entity network through the interface. Network operation and optimization, network visualization, intent verification and other network innovation technologies and various applications can be quickly deployed with lower costs, higher efficiency and less impact on existing network services;

[0058] Based on the digital twin network architecture and the intelligent operation and maintenance auxiliary decision-making analysis system of the large-scale power grid backbone optical communication system, it supports business scenarios related to the intelligent operation and maintenance of the power communication network, such as risk warning, fault diagnosis, mode scheduling and other business implementations, and realizes the visual simulation, dynamic interaction, reverse control and other functional effects of the power communication operation and maintenance services under the digital twin system.

Claims

1. A source-grid-load-storage communication system based on digital twins, characterized in that: It includes three levels, namely: digital twin application layer, digital twin network layer and digital twin physical layer; the digital twin application layer is used to receive demands and input the demands into the digital twin network layer. The digital twin network layer processes the demands and sends control instructions to the digital twin physical layer; the digital twin physical layer includes physical entities and communication-related business information in the end-to-end power telecommunications system; the digital twin network layer includes data domain, model domain and management domain, corresponding to three subsystems, namely: data sharing warehouse subsystem, service mapping model subsystem and network twin management subsystem. The data sharing warehouse subsystem is used to collect and store physical entities and business information data in the digital twin physical layer, and provide data services and unified interfaces for the data mapping model subsystem; the service mapping model subsystem includes several data models, and the network twin management subsystem is used for the management and data visualization of the digital twin network layer.

2. The source-grid-load-storage communication system based on digital twin according to claim 1, characterized in that: The physical entities in the physical layer of the digital twin include power stations, communication stations, equipment rooms in backbone communication systems, transmission lines, optical fiber cables, network elements and equipment in transmission networks, and grid control service equipment that carries large-scale power grid protection, safety control and automation; The communication-related business information in the digital twin physical layer includes power grid fault information, communication defect information, power grid maintenance information, communication maintenance information, power grid risk information, communication risk information, power grid demand information, and communication methods.

3. The source-grid-load-storage communication system based on digital twin according to claim 1, characterized in that: The data sharing warehouse subsystem includes the collection of communication data, the fusion of power grid data, data cleaning, data identification and the knowledge graph constructed based on the data.

4. The source-grid-load-storage communication system based on digital twin according to claim 3, characterized in that: The data domain of the digital twin network layer is divided into different types, including: According to the professional category, it includes the resource and status data of the power communication network itself, the power grid production system data, the daily operation of the power system, the computer room environment, the operating environment, the weather and disaster data; According to the data source, it includes data from relevant operation support systems, data directly collected from smart devices, and data obtained from added external collection devices; According to the data type, it includes structured data stored in databases and data recorded through paper reports of communication network failures; According to the hierarchical structure of the digital twin data source of the power communication network, including the data of the provincial backbone communication network and the terminal communication access network; According to the attributes of the data, it includes real-time data, historical data, performance data, and alarm data.

5. The source-grid-load-storage communication system based on digital twin according to claim 1, characterized in that: The service mapping model subsystem includes a data-driven model and a network mechanism model. The data-driven model includes several models for prediction and analysis through historical data, including a fault tolerance model, a risk prediction model, and a pattern orchestration model; the network mechanism model includes several models with clear definitions and calculation axioms, including a fiber degradation model, a subnet connection protection model, and a fault propagation chain model.

6. The source-grid-load-storage communication system based on digital twin according to claim 5, characterized in that: The service mapping model subsystem includes basic model, network model, topology model and node model according to model type.

7. The source-grid-load-storage communication system based on digital twin according to claim 1, characterized in that: The network twin management subsystem is used for the management of the digital twin network, and records, visualizes and controls each element of the network twin throughout its life cycle, including a twin management module, a model management module and a data management module.

8. The source-grid-load-storage communication system based on digital twin according to claim 1, characterized in that: The digital twin application layer includes: visual extended reality, network planning, engineering construction, scheduling and operation, and emergency drills.

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