TOGAF enterprise architecture system based on 5G special frequency private network

Abstract

The invention discloses a TOGAF enterprise architecture system based on a 5G special frequency private network, and belongs to the technical field of communication, and the system comprises a content meta-model optimization module, a key technology module used for adding a 5G network in a TOGAF content meta-model, an architecture development method ADM optimization module, and a module used for adding a 5G network demand analysis tool and integrated design and layered integration architecture in the ADM of the TOGAF. The method is used for deeply fusing a 5G network with an enterprise business layer, an information system layer and a technology layer. By expanding a TOGAF meta-model and standardizing the 5G core capability, the private network design can be organically integrated into an enterprise architecture blueprint, the complexity and risk of 5G deployment are reduced by an optimized ADM process, the fusion of IT and OT is promoted, the real-time and dynamic adjustment of network resources supported by the system is promoted, the service agility is remarkably improved, and by integrating a data governance framework, the data governance efficiency is improved. And the data quality and decision-making intelligence based on the 5G data are enhanced.

Description

Technical Field

[0001] This invention relates to the field of communication technology, specifically to a TOGA F enterprise architecture system based on 5G dedicated frequency and network. Background Technology

[0002] With the large-scale commercialization of fifth-generation mobile communication technology (5G), its high bandwidth, low latency, high reliability, and massive connectivity provide a revolutionary communication foundation for the digital transformation of vertical industries such as telemedicine, intelligent manufacturing, and smart transportation. Enterprises expect to leverage 5G private networks to build controllable, reliable, and secure internal networks to support high-value business scenarios such as real-time control, machine vision quality inspection, and large-scale sensor data acquisition.

[0003] However, mature frameworks widely used in enterprise architecture planning and governance, such as The Open Group's TOGAF (Open Group Architecture Framework), have shown significant inadequacy and limitations in addressing the new challenges brought about by the introduction of 5G networks. The TOGAF framework and its standard Content Metamodel are primarily designed around traditional business, data, application, and technology architecture components, lacking standardized definitions and descriptions of key concepts and technical entities unique to 5G networks (such as network slicing, quality of service policies, spectrum resources, edge computing nodes, and access network functions). This results in enterprise architects lacking a unified modeling language and architectural assets to accurately express the capabilities, requirements, and complex interactions between 5G networks and existing enterprise business flows and information systems when planning 5G private networks.

[0004] The shortcomings of existing technologies are specifically reflected in the following aspects:

[0005] Architectural Disconnection and Design Blind Spots: Traditional enterprise architecture methods fail to systematically plan 5G networks as a core, designable "enterprise architecture component." 5G network design is often independent of the overall enterprise architecture plan, carried out separately by the communications team. This leads to a disconnect between network capabilities and business needs, and advanced features such as network slicing struggle to accurately match specific business scenarios (e.g., the different network requirements of real-time production line control and video surveillance), creating blind spots in architectural design and governance.

[0006] Integration Complexity and Management Fragmentation: Due to the lack of standardized integration models and methodologies, deeply integrating dynamic, programmable 5G networks with existing enterprise information systems (such as MES, ERP, PLM) and operational technology (OT) systems becomes exceptionally complex. The difficulty in integrating IT and OT, and the inability to link network resource configuration changes with business process changes, increases the costs and risks of deployment, operation, and change management.

[0007] Lack of Agility: The core advantage of 5G lies in its flexibility, enabling rapid on-demand allocation of resources through software-defined networking and network slicing. However, traditional static, document-centric architecture development processes cannot support this dynamism. Enterprises struggle to quickly adjust network resource strategies based on real-time changes in production tasks (such as urgent orders or equipment failure switching), thus failing to fully realize the business agility value of 5G networks.

[0008] Insufficient data governance and decision support: 5G networks will generate massive amounts of network performance data (KPIs) and deeply integrate them with business data streams. Existing architectures lack effective mechanisms to incorporate this real-time network data into a unified enterprise data governance and analysis system. This prevents the use of network data to support business optimization (such as predicting equipment failures through latency analysis or optimizing production scheduling through traffic analysis), thus limiting data-driven decision-making capabilities.

[0009] Taking the aviation manufacturing industry as an example, commercial aircraft manufacturers face the need for high concurrency, high reliability, and low latency data transmission in the manufacturing of aircraft parts. Traditional architecture methods are difficult to systematically plan a 5G network architecture that can simultaneously guarantee the transmission of precision machining instructions, the backhaul of massive sensor data, and the transmission of high-definition quality inspection video streams, and can be dynamically optimized. This is precisely the pain point that existing technologies urgently need to address. Summary of the Invention

[0010] The purpose of this invention is to provide a TOGAF enterprise architecture system based on 5G dedicated frequency and network. This TOGAF enterprise architecture system solves the problem that traditional enterprise architecture frameworks are difficult to adapt to the characteristics of 5G technology. By extending the TOGAF metamodel, it standardizes core 5G capabilities, enabling private network design to be organically integrated into the enterprise architecture blueprint. The optimized ADM process reduces the complexity and risk of 5G deployment, promotes IT and OT convergence, supports real-time and dynamic adjustment of network resources, significantly improves business agility, and enhances data quality and decision intelligence based on 5G data through the integration of a data governance framework.

[0011] To achieve the above effects, the present invention provides the following technical solution: a TOGAF enterprise architecture system based on 5G dedicated frequency and network, comprising:

[0012] The content metamodel optimization module is used for data processing, planning and allocation of 5G private network frequency resources;

[0013] The Architecture Development Methodology (ADM) optimization module is used for the analysis and architecture integration of 5G networks.

[0014] Layered integrated architecture modules for deep integration with 5G networks;

[0015] The content meta-model optimization module and the architecture development method (ADM) optimization module are connected by a signal, and the architecture development method (ADM) optimization module and the layered integration architecture module are connected by a signal.

[0016] Furthermore, the content metamodel optimization module includes:

[0017] The network slicing module is used to support isolated network transmission in multiple service scenarios;

[0018] The spectrum management module is used to provide a planning and allocation mechanism for 5G private network frequency resources;

[0019] Edge computing module, used to provide local data processing capabilities;

[0020] The QoS management module is used to ensure the quality of service for mission-critical data.

[0021] Furthermore, the ADM optimization module of the architecture development method includes:

[0022] The architecture vision phase optimization unit is used to add 5G network requirements analysis tools to identify the network performance requirements of services.

[0023] The technical architecture phase optimization unit is used to provide integrated design of 5G networks and enterprise IT systems;

[0024] The Opportunity and Solution Phase Optimization Unit is used to introduce a dynamic resource allocation mechanism.

[0025] Furthermore, the layered integration architecture module includes:

[0026] The business layer is used to define the key industry tasks supported by 5G networks;

[0027] The information systems layer is used to integrate 5G slicing technology with core enterprise systems.

[0028] The technical layer is used to deploy 5G private network infrastructure.

[0029] Furthermore, the integrated design provided by the technical architecture stage optimization unit includes network slicing and edge node deployment schemes.

[0030] Furthermore, the dynamic resource allocation mechanism introduced by the opportunity and solution phase optimization unit is used to support network resource optimization and dynamic adjustment during the production process.

[0031] Furthermore, the key industry tasks defined by the business layer include the status monitoring and resource scheduling of production equipment.

[0032] Furthermore, the information system layer integrates core enterprise systems, including MES and ERP systems.

[0033] Furthermore, the 5G private network infrastructure deployed in the technology layer includes spectrum, base stations, and edge nodes.

[0034] According to any one of the above, a TOGAF enterprise architecture system based on 5G private frequency and private network is configured to be applied to the aircraft parts manufacturing scenario. The system achieves network coverage by deploying 5G base stations in the production workshop, allocates dedicated spectrum resources to different production lines through a spectrum management module, and deploys the edge computing module at the edge node.

[0035] This invention provides a TOGAF enterprise architecture system based on 5G dedicated frequency and network, which has the following beneficial effects:

[0036] (1) The beneficial effect of this invention is that it provides a systematic enterprise architecture solution, which effectively solves the core problem that the traditional TOGAF framework is difficult to adapt to the technical characteristics of 5G private networks. By extending the content meta-model, this invention defines 5G core capabilities such as network slicing, spectrum management, edge computing and QoS as standardized architectural elements for the first time, so that the design of 5G private networks can be organically incorporated into the enterprise's top-level architecture blueprint, and realizes the unification of communication network planning and enterprise strategic planning in terms of language and model.

[0037] (2) This invention optimizes the TOGAF architecture development method by embedding 5G-specific business requirements analysis, technology integration design, and dynamic resource allocation processes into the key stages of ADM. This optimization enables enterprises to deploy and integrate 5G private networks in a clear and phased manner, significantly reducing the management complexity and implementation risks of introducing 5G technology in complex business environments, and effectively promoting the integration of information technology and operational technology.

[0038] (3) The layered integration architecture design of this invention vertically integrates 5G capabilities into all layers of business, information systems and technology, thereby greatly improving business agility. Enterprises can quickly trigger and complete the creation of network slices, dynamic allocation of resources and deployment of edge computing tasks based on real-time business needs such as production and manufacturing and telemedicine, realizing real-time and accurate response of network resources to business changes.

[0039] (4) By integrating a data governance framework and incorporating 5G network data into the management scope, this invention enhances the data analysis and decision-making capabilities based on 5G. The system can ensure the quality and consistency of massive production data and equipment status data transmitted through the 5G network, providing a reliable data foundation for advanced applications such as predictive maintenance and real-time process optimization, thereby transforming 5G connectivity into practical decision intelligence.

[0040] (5) This invention provides a feasible architectural support for the digital transformation of demanding industries such as intelligent manufacturing and smart healthcare. Taking aerospace manufacturing as an example, the system directly improves the collaborative efficiency of the production line, the quality of parts processing, and the overall operational reliability by ensuring low-latency, high-reliability transmission and localized processing of key production data, thus verifying its significant value in promoting the industry towards intelligent and flexible development. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of the overall system architecture of the TOGAF enterprise architecture system based on 5G dedicated frequency and network according to the present invention;

[0042] Figure 2 This is a schematic diagram of a content meta-model optimization module for a TOGAF enterprise architecture system based on 5G dedicated frequency and network according to the present invention.

[0043] Figure 3 This is a schematic diagram of the ADM optimization module of the TOGAF enterprise architecture system architecture development method based on 5G private frequency and private network according to the present invention;

[0044] Figure 4 This is a schematic diagram of a layered integrated architecture module of the TOGAF enterprise architecture system based on 5G dedicated frequency and network according to the present invention.

[0045] In the diagram: 1. Content Metamodel Optimization Module; 2. Architecture Development Method (ADM) Optimization Module; 3. Layered Integration Architecture Module. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0047] This invention provides a technical solution; please refer to [link / reference]. Figure 1 - Figure 4 :

[0048] Example 1:

[0049] The following describes the invention in detail using the manufacturing of aircraft parts in a commercial aircraft manufacturing company as an application scenario.

[0050] 1. Scene Description

[0051] In the aircraft manufacturing process of commercial aircraft manufacturers, millions of parts need to be processed, inspected, and assembled. Each production line needs to transmit equipment status, processing parameters, and quality inspection data in real time, which places extremely high demands on the network's transmission speed and reliability.

[0052] 2. System Deployment and Configuration

[0053] First, the system based on this invention is deployed:

[0054] Deploying 5G base stations in the production workshop enables network coverage of the entire production environment.

[0055] The spectrum management module 102 in the content meta-model optimization module 1 is used to plan and allocate dedicated spectrum resources for different production lines in order to avoid signal interference.

[0056] Edge computing modules 103 are deployed at the edge nodes on the workshop side to process localized sensor data and quality monitoring information.

[0057] In the layered integrated architecture module 3, the business layer 301 defines key tasks such as production equipment status monitoring and resource scheduling; the information system layer 302 integrates 5G slicing technology with core enterprise systems such as MES; and the technology layer 303 covers the deployed spectrum, base stations and edge nodes and other 5G private network infrastructure.

[0058] 3. Operating Procedures

[0059] The system operates following the Optimized Architecture Development Method (ADM):

[0060] Initiation Phase: During the architecture vision phase, the architecture vision phase optimization unit 201 analyzes the production plan and identifies the specific network bandwidth and latency requirements of the business. Subsequently, during the technical architecture phase, the technical architecture phase optimization unit 202 performs integrated design and uses the network slicing module 101 to allocate independent network slice resources for critical tasks such as quality inspection.

[0061] Real-time production phase: During production, the QoS management module 104 prioritizes the transmission of high-latency sensitive data such as equipment alarm signals according to policies. Simultaneously, the edge computing module 103 processes locally generated real-time monitoring data. Data flows between the enterprise's core systems via the information system layer 302 and is fed back to the central monitoring platform.

[0062] Feedback and Optimization Phase: In the Opportunities and Solutions phase, the dynamic resource allocation mechanism introduced by the Opportunities and Solutions phase optimization unit 203 comes into play. Based on the data fed back from the monitoring platform, the network resource allocation scheme is dynamically adjusted to optimize the production process.

[0063] 4. Implementation Results

[0064] The implementation of this system has achieved the following results in this scenario:

[0065] It improved the efficiency of production data transmission and reduced the impact of network latency on production scheduling.

[0066] By managing multiple production lines in parallel and isolating resources, production collaboration capabilities have been improved.

[0067] Real-time quality analysis supported by 5G networks has significantly improved the quality and reliability of parts processing.

[0068] Working principle:

[0069] Achieve closed-loop operation in typical business scenarios (such as intelligent manufacturing). The entire workflow can be broken down into the following four main stages:

[0070] Phase 1: Precisely Aligning the Architectural Vision with 5G Service Needs

[0071] The process begins with the "Architecture Vision" phase of TOGAFADM, driven by Optimization Unit 201. Its core task is to establish a clear link between 5G private network construction and corporate strategic goals. First, enterprise architects collaborate with business and production departments (such as workshop management teams in commercial aircraft manufacturing companies) to identify and define key business scenarios and pain points. For example, specific scenarios such as "real-time monitoring of high-precision machining of aircraft parts" and "synchronization of quality inspection data across production lines" are defined. Subsequently, the 5G network requirements analysis tool provided by Optimization Unit 201 is activated, transforming these business scenarios into specific, quantifiable 5G network performance indicators. The tool guides architects to analyze the key network requirements for each scenario: for "real-time monitoring," the required extreme end-to-end latency (e.g., below 10 milliseconds) and reliability (e.g., 99.999%) must be defined; for "massive sensor data acquisition," peak bandwidth requirements and the number of large-scale connections must be defined. The output of this phase is a clear "5G Private Network Business Requirements Specification," which is not only the starting point for technical design but also a key basis for subsequently measuring ROI. This step ensures that 5G network construction serves to support specific business value from the outset, avoiding the problem of technology and business being "two separate entities".

[0072] Phase Two: Deep Integration of Technical Architecture Design and 5G Network Elements

[0073] After clarifying the vision, the process enters the "Technical Architecture" phase, led by the Technical Architecture Phase Optimization Unit 202. This phase is the core design step that transforms the requirements of the first phase into concrete technical solutions. First, the architect uses the standardized elements defined in the Content Metamodel Optimization Module 1 for modeling. For example, using the concept of the Network Slicing Module 101, logically isolated end-to-end network slice templates are created for "High-Precision Processing" and "Video Surveillance," respectively, and latency and bandwidth guarantee policies derived from the QoS Management Module 104 are embedded in the templates. At the same time, the Spectrum Management Module 102 is used to plan spectrum allocation for the entire plant area in the simulation environment to ensure no interference between slices and areas.

[0074] Next, the technical architecture optimization unit 202 calls the modeling module in the integration toolchain to design the association between these 5G elements (slicing, QoS policies) and the enterprise's existing information system architecture. For example, the "processing parameter distribution" data stream is mapped to a low-latency slice, and its terminal is specified as the work order module in the Enterprise Resource Planning (ERP) system, and the server is the Manufacturing Execution System (MES). Simultaneously, based on the physical location of the business facilities, the tool generates an "edge computing node plan," determining which workshop side to deploy the edge computing module 103 to process local visual inspection data. The core output of this stage is the "5G Private Network and Enterprise IT Integration Design Scheme," which includes detailed network slicing design diagrams, spectrum allocation diagrams, edge node deployment diagrams, and connection relationship diagrams between 5G network functions (such as UPF, base stations) and enterprise application systems. All designs are saved in the form of a TOGAF content meta-model, ensuring the consistency and traceability of the architecture assets.

[0075] Phase 3: Solution Implementation and Dynamic Resource Closed-Loop Regulation

[0076] After the design is completed, the process enters the "Opportunities and Solutions" and "Migration Planning" phases, where the Opportunities and Solutions phase optimization unit 203 takes over. This phase focuses on the implementation and continuous optimization of the solution. First, based on the technical architecture design, a phased procurement, deployment, and integration implementation roadmap is developed. In terms of physical deployment, 5G base stations are installed in the production workshop, core network user plane functions (UPF) are configured to be deployed to the campus, and edge servers are deployed in designated locations.

[0077] Once the system is operational, its dynamic intelligent control capabilities become apparent. During real-time production, the monitoring module continuously collects dual data from the 5G network and business systems: network-side data includes latency, bandwidth utilization, and base station load for each slice; business-side data may originate from MES production cycle information or alarms from the quality inspection system. This data is integrated into the data governance module for real-time correlation analysis. When the analysis model predicts that a production line's associated network slice will become congested due to a sudden rush order, the dynamic resource allocation mechanism introduced by the opportunity and solution phase optimization unit 203 will be automatically triggered. This mechanism may automatically invoke the network orchestrator through the policy engine to elastically expand bandwidth resources for high-priority slices within milliseconds, or dynamically adjust the computing task offloading strategy through the edge computing module 103. This process forms a closed loop of "monitoring-analysis-decision-execution," enabling real-time and flexible scheduling of network resources based on actual business load, significantly improving business agility.

[0078] Phase 4: Architecture Maintenance and Continuous Business Value Feedback

[0079] This process doesn't end linearly; rather, it's integrated into the iterative cycle of TOGAFADM. All performance data, optimization records, and business achievements (such as improved product yield and reduced equipment downtime) generated during system operation serve as valuable feedback inputs. At the start of the next architecture development cycle, this feedback from actual operations will be used to reassess and revise the "5G Private Network Business Requirements Specification," thus initiating a new optimization cycle. For example, if a commercial aircraft manufacturer discovers new AR remote assisted maintenance scenario requirements during operation, it can initiate a new cycle to quickly design and deploy a new network slice supporting high uplink bandwidth and instant communication.

[0080] In summary, the workflow of this invention is a complete system guided by business value, driven by model design, and controlled through data-driven intelligent closed-loop processes. By seamlessly integrating the lifecycle management of 5G private networks into mature enterprise architecture governance processes, it not only ensures the technical rationality of 5G network construction but also guarantees its continuous evolution and optimization along with the development of enterprise business. Ultimately, it provides a solid, flexible, and intelligent "digital foundation" for the digital transformation of complex industries such as manufacturing. The entire process starts from business needs, undergoes precise design and deployment, and ultimately, through real-time control and continuous iteration, continuously transforms the technical capabilities of 5G into measurable and optimizable business value.

[0081] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A TOGAF enterprise architecture system based on 5G dedicated frequency and network, characterized in that, include: Content metamodel optimization module (1) is used for data processing, planning and allocation of 5G private network frequency resources; Architecture Development Methodology (ADM) Optimization Module (2) is used for the analysis and architecture integration of 5G networks; Layered integration architecture module (3) is used for deep integration of 5G networks; The content meta-model optimization module (1) is connected to the architecture development method (ADM) optimization module (2) by signal connection, and the architecture development method (ADM) optimization module (2) is connected to the layered integration architecture module (3) by signal connection.

2. The TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 1, characterized in that, The content metamodel optimization module (1) includes: The network slicing module (101) is used to support isolated network transmission in multiple service scenarios; The spectrum management module (102) is used to provide a planning and allocation mechanism for 5G private network frequency resources; An edge computing module (103) is used to provide localized data processing capabilities; The QoS management module (104) is used to ensure the quality of service for mission-critical data.

3. The TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 1, characterized in that, The architecture development method ADM optimization module (2) includes: The Architecture Vision Phase Optimization Unit (201) is used to add 5G network requirements analysis tools to identify the network performance requirements of services; The technical architecture phase optimization unit (202) is used to provide integrated design of 5G networks and enterprise IT systems; The Opportunity and Solution Phase Optimization Unit (203) is used to introduce a dynamic resource allocation mechanism.

4. The TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 1, characterized in that, The layered integration architecture module (3) includes: The business layer (301) is used to define the key industry tasks supported by the 5G network; The information system layer (302) is used to integrate 5G slicing technology with the enterprise's core systems; The technology layer (303) is used to deploy 5G private network infrastructure.

5. A TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 3, characterized in that, The integrated design provided by the technical architecture phase optimization unit (202) includes network slicing and edge node deployment schemes.

6. The TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 3, characterized in that, The dynamic resource allocation mechanism introduced by the Opportunity and Solution Phase Optimization Unit (203) is used to support network resource optimization and dynamic adjustment during the production process.

7. A TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 4, characterized in that, The key industry tasks defined in the business layer (301) include the status monitoring of production equipment and resource scheduling.

8. A TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 4, characterized in that, The information system layer (302) integrates the enterprise core systems, including MES and ERP systems.

9. A TOGAF enterprise architecture system based on 5G dedicated frequency and network according to claim 4, characterized in that, The 5G private network infrastructure deployed in the technology layer (303) includes spectrum, base stations and edge nodes.

10. A TOGAF enterprise architecture system based on 5G dedicated frequency and network according to any one of claims 1-9, characterized in that, The system is configured for use in aircraft parts manufacturing scenarios. It achieves network coverage by deploying 5G base stations in the production workshop, allocates dedicated spectrum resources to different production lines through the spectrum management module (102), and deploys the edge computing module (103) at the edge nodes.

Images