Systems and methods for digital infrastructure services

Abstract

The invention provides a service-based cloud native network architecture for 6G (6th Generation). It provides an open ecosystem that allows third party applications. A system for providing digital infrastructure services in a digital world is provided. According to the method and the system, services provided by the invention comprise operation optimization, namely, service (which realizes optimization of infrastructure), asset management, namely, service (which promotes management of infrastructure assets), and virtual reality, namely, service (which provides a virtual reality library for virtual reality application). The service is provided by a digital infrastructure in the digital world, the digital infrastructure corresponding to a real-world infrastructure including a real-world object. The real-world object in turn corresponds to a representation in the digital world, i.e., a digital copy.

Description

Cross-references to related applications

[0001] This application claims priority and benefit to U.S. Provisional Patent Application No. 63 / 595,426, entitled “Digital Infrastructure (D-Inf) Services,” filed November 2, 2023, the disclosure of which is incorporated herein by reference in its entirety. Technical Field

[0002] This technical field relates to the digital world, and more specifically, to systems and methods for providing digital infrastructure services in the digital world. Background Technology

[0003] Many new trends will influence the design of future wireless network technologies, such as 6G, including new capabilities, established methodologies, new applications and services, greater interoperability, and more stringent requirements. New capabilities may include infrastructure designed and widely deployed for cloud computing. Established methodologies may include large-scale machine learning (ML) models, data privacy, blockchain, and other technologies that have made significant strides and have a profound impact on society and human life. New applications and services may include artificial intelligence (AI) services, data generation (e.g., sensing services, digital world services), and any other type of service widely used in industry or commerce and for personal use. These new expectations and more stringent requirements for future networks are also driving a rethinking and development of next-generation wireless networks, such as requirements for privacy and trust, simplified standardization, and rapid deployment.

[0004] These factors have collectively driven research into 6G network architecture. Therefore, solutions that meet these requirements are still needed. Summary of the Invention

[0005] This disclosure proposes a network architecture for 6G. This architecture is service-based, providing anything-as-a-service (XaaS), and is cloud-native. For example, the architecture must support new 6G services that can be developed and / or deployed by third parties, must embrace a more open ecosystem to open the door to technically capable third parties, and must implement better trust management.

[0006] According to one aspect, a system for providing digital infrastructure services in the digital world is provided. Digital infrastructure is associated with real-world infrastructure, which may include, for example, buildings, roads, cities, robotic fleets, factories, railways, vehicles, and / or wireless network equipment. One or more service modules are provided.

[0007] For example, a service module may include an Operation Optimization Service module to provide Operation Optimization-as-a-Service (OaaS) so that users can optimize the operation of their infrastructure. As another example, a service module may include an Asset Management Service module to provide Asset Management-as-a-Service (AaaS or AMaaS) to assist users in managing infrastructure, particularly its assets. As yet another example, a service module may include a Virtual Reality Service module to provide Virtual Reality-as-a-Service (VRaaS) to provide a virtual reality library to deliver infrastructure-related real-world data to virtual reality applications.

[0008] These services are provided through digital infrastructure in the digital world. Digital infrastructure can be instantiated by digital infrastructure modules and corresponds to real-world infrastructure containing real-world objects. These real-world objects can then each correspond to a digital representation in the digital world instantiated by a digital representation module, each digital representation being a digital copy of the real-world object. Therefore, digital infrastructure can include digital representations. A communication plane can also be provided to enable digital infrastructure services.

[0009] According to another aspect, a method for providing digital infrastructure services in a digital world is provided, the method comprising: a digital representation module instantiating a digital representation (D-Rep) in the digital world, the digital representation corresponding to a digital copy of a real-world object; a digital infrastructure module instantiating digital infrastructure (D-Inf) in the digital world, the digital infrastructure corresponding to a real-world infrastructure, the real-world infrastructure including real-world objects, and the digital infrastructure including a digital representation corresponding to the real-world objects; the real-world objects sending real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; and at least one service module providing digital infrastructure services to a user using (or through) the communication plane.

[0010] According to another aspect, a system for providing digital infrastructure services in the digital world is provided, the system comprising: a digital representation module for instantiating a digital representation (D-Rep) in the digital world, the digital representation corresponding to a digital copy of a real-world object; a digital infrastructure module for instantiating digital infrastructure (D-Inf) in the digital world, the digital infrastructure corresponding to a real-world infrastructure, the real-world infrastructure including real-world objects, and the digital infrastructure including a digital representation corresponding to the real-world objects; a communication plane for real-world objects to send real-world data to at least one of the digital representation module and the digital infrastructure module; and at least one service module for providing digital infrastructure services to users using (or through) the communication plane.

[0011] According to yet another aspect, a computer-readable medium is provided, including computer instructions that, when executed by at least one processor, provide digital infrastructure services in a digital world, the instructions being configured to: instantiate a digital representation (D-Rep) in the digital world, the digital representation corresponding to a digital copy of a real-world object; instantiate a digital infrastructure (D-Inf) in the digital world, the digital infrastructure corresponding to a real-world infrastructure, the real-world infrastructure including a real-world object, the digital infrastructure including a digital representation corresponding to the real-world object; the real-world object transmitting real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; and at least one service module providing digital infrastructure services to a user using (or via) the communication plane.

[0012] According to another aspect, a system for providing digital infrastructure services in the digital world is provided, wherein the system includes: a memory for storing instructions; one or more processors for executing the instructions and enabling the system to: instantiate a digital representation (D-Rep) in the digital world, the digital representation corresponding to a digital copy of a real-world object; instantiate a digital infrastructure (D-Inf) in the digital world, the digital infrastructure corresponding to a real-world infrastructure, the real-world infrastructure including real-world objects, and the digital infrastructure including a digital representation corresponding to the real-world objects; the real-world objects transmit real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; and at least one service module provides digital infrastructure services to a user using (or through) the communication plane. Attached Figure Description

[0013] To better understand the embodiments described herein and to more clearly illustrate how they can be implemented, reference will now be made to the accompanying drawings, which illustrate at least one exemplary embodiment, by way of example only.

[0014] Figure 1 This is a simplified schematic diagram of a communication system according to an embodiment.

[0015] Figure 2 According to the embodiments, in Figure 1 A schematic diagram of an embodiment of a communication device operating in a communication system.

[0016] Figure 3 This is a schematic diagram of a 6G system conceptual structure according to an embodiment.

[0017] Figure 4 This is a schematic diagram of a digital world platform including a digital infrastructure platform for a wireless network according to an embodiment.

[0018] Figure 5 This is a schematic diagram of an exemplary digital infrastructure instance with associated data interfaces according to an embodiment. Detailed Implementation

[0019] It should be understood that, for the sake of simplicity and clarity, reference numerals may be repeated in the drawings where deemed appropriate to indicate corresponding or similar elements or steps. Furthermore, numerous specific details are set forth to provide a thorough understanding of the exemplary embodiments described herein. However, those skilled in the art will understand that the exemplary embodiments described herein can be practiced without these specific details. In other instances, well-known methods, processes, and components have not been described in detail so as not to obscure the embodiments described herein. Moreover, this description should not be construed as limiting the scope of the embodiments described herein in any way, but merely as describing implementations of the various embodiments described herein.

[0020] In this disclosure, a digital representative (D-Rep) refers to a virtual or digital copy of a real-world entity and / or object in the digital world (DW), also known as a "digital twin." A D-Rep digitally simulates its associated real-world entity for practical purposes such as simulation and testing. For example, a real-world entity can send entity data to a D-Rep, allowing the D-Rep to maintain a state similar to its real-world counterpart. Data may include, for example, sensor data, logic states, and input / output values. Because a D-Rep is a digital equivalent of its associated real-world entity, simulations can be performed using the D-Rep to accurately simulate the (current or anticipated) behavior of the real-world entity. Therefore, D-Rep is useful in many application areas. Furthermore, D-Rep can be generated to represent real-world entities with different levels of abstraction. In the communications field, abstraction levels can be defined, for example, as communication zones, mobile phones, base stations (BS), antennas, or chips in the radio-frequency (RF) chain. For example, a given D-Rep abstraction level can be determined based on the application, the predicted / simulated target, the available data, and the available analytics or computing resources. In some embodiments, the D-Rep is instantiated and managed by a digital representation module (e.g., distributed or non-distributed software and / or hardware running on a network).

[0021] In this disclosure, digital infrastructure (“D-Inf”) refers to a digital copy and / or representation of real-world infrastructure in the digital world, wherein real-world infrastructure comprises a collection of real-world objects with a relative degree of collaboration and / or integration. For example, real-world entities may include, but are not limited to, buildings, roads, robots, factories, railways, vehicles, wireless network equipment, and resources each having associated D-Rep, and D-Inf may be a collection of all these D-Rep. For example, D-Inf may be a digital representation of a city containing all these real-world entities. As other examples, D-Inf may correspond to: buildings and roads in a smart city; wireless network elements such as channels, base stations (BS), relays, drones, satellites, NFs, and servers; factories, production lines, and other types of robotic equipment; and / or intelligent transportation systems including urban railways, etc. It should be noted that in some embodiments, a city may be a D-rep, such as digital infrastructure comprising a geographical area of ​​the city, while in other embodiments, it may be a D-Inf. Therefore, in the following description, D-Inf may include a digital representative (D-Rep) of a real-world object or entity associated with a given infrastructure, as well as associated integration and application capabilities. D-Inf may be referred to as infrastructure, system, or device, etc. In some embodiments, D-Inf is instantiated and managed by digital infrastructure modules (e.g., distributed or non-distributed software and / or hardware running on a network).

[0022] In this disclosure, a virtual user (“D-User”) is a D-Inf sub-platform corresponding to a digital representation of a user instantiated and maintained within the network. Because one or more D-Users are stored and maintained within the network, D-Users can interact closely with the network and / or other digital entities maintained within the network to provide “real” users with greater control over services obtained from the network; that is, D-Users allow for enhanced user empowerment. Network services may be provided as supplementary services, also referred to as User Controlled and Managed (UCM) services.

[0023] It is understandable that other similar digital sub-platforms of D-Inf are also possible. For example, in some embodiments, a digital city (“D-City”) is provided as a sub-platform for smart city applications. As another example, in some embodiments, a digital network (“D-Net”) is provided. Generally, any number of unspecified sub-platforms “DX” can be provided.

[0024] This disclosure describes methods and systems for providing services related to D-Inf. These methods and services may rely on methods and / or systems for digitally replicating real-world infrastructure and maintaining digital copies and associated digital representations, such as those described in U.S. Provisional Application No. 63 / 586,574, filed September 29, 2023, the entire disclosure of which is incorporated herein by reference. Preferably, the aforementioned methods and / or systems are particularly suitable for providing digital infrastructure (D-Inf) platforms that include functionality for supporting the collection, exchange, and analysis of D-Inf data.

[0025] The methods and systems described herein advantageously allow for the provision of services related to D-Rep integrated within a wireless network, offering scalability while helping to reduce data exchange latency when using a distributed architecture. These methods and systems allow for the simulation and execution of scenarios, such as scenario prediction, using data from one or more D-Rep sources from real-world entities. D-Inf can be implemented on wireless network elements such as base stations (BS), core network elements, edge network elements, user equipment (UE), sensor networks, private factory networks, or the cloud of networks. Through the implementation of D-Inf, various infrastructure services can be provided, such as Operation Optimization-as-a-Service (OaaS), Asset Management-as-a-Service (AaaS), and Virtual Reality-as-a-Service (VRaaS), which will be mentioned and described in more detail below.

[0026] Example Architecture

[0027] Figures 1 to 5 Exemplary embodiments of network and device architectures suitable for providing these infrastructure services are provided.

[0028] refer to Figure 1The simplified schematic diagram of the communication system is provided as an illustrative example and not a limitation. Communication system 100 includes a radio access network (RAN) 120. RAN 120 can be a next-generation (e.g., sixth-generation, 6G, or later) RAN or an older (e.g., 5G, 4G, 3G, or 2G) RAN. One or more communication electronic devices 110a, 110b, 110c, 110d, 110e, 110f, 110g, 110h, 110i, 110j (collectively referred to as 110) can be interconnected with each other or connected to one or more network nodes (170a, 170b, collectively referred to as 170) within RAN 120. Core network 130 can be part of the communication system and can be dependent on or independent of the radio access technology used by communication system 100. In addition, the communication system 100 may include a public switched telephone network (PSTN) 140, the Internet 150, and other networks 160.

[0029] refer to Figure 2 This illustrates units or modules in a communication electronic device 110 or node 170 according to exemplary embodiments. One or more steps in the method embodiments and / or one or more functions in the system embodiments provided herein can be performed by corresponding units or modules. For example, a signal can be transmitted by a transmitting unit or transmitting module 220. A signal can be received by a receiving unit or receiving module 230. A signal can be processed by a processing unit or processing module 240. Other steps can be performed by an artificial intelligence (AI) module or a machine learning (ML) module 250. The corresponding units or modules can be implemented using hardware, one or more components or devices executing software, or a combination thereof. For example, one or more units or modules can be circuits such as integrated circuits. Examples of integrated circuits include programmable FPGAs, GPUs, or ASICs. For example, one or more of these units or modules can be logical functions, such as logical functions performed by circuits, by a portion of an integrated circuit, or by software instructions executed by a processor. It should be understood that if these modules are implemented, for example, using software executed by the processor, the processor may retrieve these modules, in whole or in part, as needed, retrieve them individually or collectively for processing, retrieve them in one or more instances, and these modules themselves may include instructions for further deployment and instantiation, all under the control of the operating system module 210.

[0030] The one or more modules described herein may be implemented in one or more computer programs executing on one or more processing devices, each processing device including at least one processor, a data storage system (including volatile and / or non-volatile memory and / or storage elements), and optionally at least one input and / or output device. "Processing device" includes computers, servers, and / or dedicated electronic devices that receive, process, and / or transmit data. For example, a "processing device" may include processing modules such as microcontrollers, microprocessors, and / or CPUs, or implemented on an FPGA. For example, but not limited to, a processing device may be a programmable logic unit, a mainframe computer, a server, a personal computer, a cloud-based program or system, a laptop computer, a personal data assistant, a cellular phone, a smartphone, a wearable device, a tablet computer, a video game console, or a portable video game device.

[0031] Each program is preferably implemented in a high-level programming and / or scripting language, such as an imperative (e.g., procedural or object-oriented) or declarative (e.g., functional or logical) language, to communicate with the computer system. However, if desired, the program may be implemented in assembly language or machine language. In any case, the language may be a compiled or interpreted language. Each such computer program is preferably stored on a storage medium or device readable by a general-purpose or special-purpose programmable computer for configuring and operating the computer when the computer reads the storage medium or device to perform the processes described herein. In some embodiments, the system may be embedded in an operating system running on a programmable computer.

[0032] Furthermore, the systems, processes, and methods of the described embodiments can be distributed in a computer program product comprising a computer-readable medium carrying computer-usable instructions for one or more processors. The computer-usable instructions can also be in various forms, including compiled code and uncompiled code.

[0033] One or more processors are used in conjunction with a storage medium, also known as "memory" or "storage module." The storage medium can store instructions, algorithms, rules, and / or transaction data to be processed. Storage media include volatile or non-volatile / persistent memory, such as registers, caches, RAM, flash memory, ROM, floppy disks, optical disks, magnetic tapes, and chips, to name just a few. Of course, the type of memory is chosen based on the intended use—whether it's for retaining instructions, temporarily storing, retaining, or updating data. The steps of the proposed method are implemented as software instructions and algorithms, stored in computer memory, and executed by the processor.

[0034] It is understood that neural networks can be implemented using computer hardware components, computer software components, or a combination thereof. Therefore, the neural network modules described herein can be referred to as computer-implemented. Various computationally intensive tasks of neural networks can be performed on one or more processors (central processing unit and / or graphics processing unit) of one or more programmable computers.

[0035] Combination Figure 3 This illustrates one possible embodiment of the conceptual architecture of a 6G system. In some embodiments, network system 300 utilizes a service-based architecture and the concept of anything-as-a-service (XaaS). XaaS services in the 6G system are divided into three layers: 310, 312, and 314.

[0036] In a possible embodiment, infrastructure layer 310 includes infrastructure supporting 6G services. This includes wireless networks, such as RAN or core network (CN) infrastructure, cloud / data center infrastructure, satellite networks, storage / database infrastructure, and sensing networks. This infrastructure may be provided by a single provider or by multiple providers.

[0037] Each infrastructure can have its own control and management functions, represented as Control and Management (C / M) functions, for infrastructure management. Each of these infrastructures can be a type of Infrastructure as a Service.

[0038] In a possible embodiment, the C / M layer 312 includes control and management services for the 6G system, providing a first communication plane. These services are developed and deployed using slicing technology and leveraging resources provided by the infrastructure layer. The 6G services in the C / M layer 312 may include:

[0039] - The resource management module includes Resource Management (RM) as a service, which provides the ability to manage the lifecycle of various slices and allocate over-the-air resources to wireless devices.

[0040] -6G task modules are defined as services provided to customers (or users) by the 6G system. A task can be a set of services provided by a single 6G XaaS service, or it can be a class of services that requires multiple XaaS services to provide together.

[0041] - The task management module includes the task management (MM) as a service function, which provides the ability to programmatically provide XaaS services at the service layer to provide task services.

[0042] The CONET module, including the Confederation Network (CONET) as a Service (CMS) functionality, provides the ability for multiple partners to jointly deliver 6G services. This capability is provided through federated formation, mutual authentication and authorization among partners, and protocol negotiation regarding the recording and traceability of selected actions performed by partners, ensuring a trusted environment for the operation of 6G systems.

[0043] The Service Provisioning Management (SPM) module provides functionality, including Service Provisioning Management (SPM) as a Service, which controls and manages customer access to 6G services and enables the provision of requested services. This capability is provided through unified mutual authentication, authorization and policies, key management, QoS guarantees, and billing between any pair of XaaS service providers and customers. These customers include not only end customers in the physical world but also digital representations in the digital world.

[0044] - The connectivity management module includes connectivity management (CM) as a service to leverage 5G connectivity management capabilities, but extends to include the digital world.

[0045] - The Protocol as a Service (PAS) module includes PAS functionality to provide the ability to design custom protocol stacks for identified interfaces. Protocol stacks can be predefined for on-demand selection or designed as needed.

[0046] - The "Cybersecurity as a Service" module includes "Cybersecurity as a Service" capabilities to provide infrastructure owners with the ability to detect potential security risks to their infrastructure.

[0047] - The XaaS module includes XaaS services in the C / M layer to support control and management of the 6G system itself, and to provide support to vertical sectors when needed. For example, the RM service can serve the RAN for air resource management, or it can provide services for vertical sectors to allocate air resources to their end customers. XaaS in the C / M layer can be deployed using slicing technology.

[0048] Service layer 314 may include 6G services provided to customers. The 6G system architecture 300 may include the following modules:

[0049] - The AI ​​service module, referred to as NET4AI as a Service, provides AI capabilities to support a variety of AI applications.

[0050] The DAM module includes services for data collection, data cleaning, data analysis, and data transmission, referred to as DAM as a Service. This service provides lifecycle management capabilities for statistical data, including acquiring, de-privatizing, analyzing, and transmitting data from any type of sensor, device, network function, etc.

[0051] The NET4Data module includes services for storing and sharing data, referred to as NET4Data as a Service. This service module provides the ability to reliably store and share data, under the control of the data owner and in accordance with recognized authority guidelines for controlling identified data.

[0052] The NET4DW module includes services that provide access to the digital world, referred to as NET4DW as a Service. The Digital World module (or system) provides the ability to build, control, and manage the digital world. The digital world is defined as the digital realization of the physical world.

[0053] - The blockchain module includes a 6G blockchain service, denoted as NET4BC as a service. The 6G connectivity service is denoted as NET4Con as a service. This service provides the capability to support 6G blockchain services.

[0054] The NET4CON module includes enhanced connectivity services, such as Network for Connectivity (NET4CON) as a service. This service provides the ability to exchange messages and data between supporting new 6G services.

[0055] All XaaS services in this layer utilize resources provided within the infrastructure and are developed and deployed using network function virtualization and slicing technologies. The capabilities of each 6G service are provided by its control and management (C / M) functions and service-specific data processing capabilities.

[0056] In addition to supporting 6G XaaS services at service layer 314, the 6G system 300 also utilizes the 5G system to provide vertical services. The difference between 6G XaaS services and other vertical industries is that vertical industries are purely customers who need other XaaS services to support their operation, while each XaaS service provides its capabilities to 6G customers.

[0057] Any pair of XaaS services in a 6G system can also act as customer and provider to each other. For example, an infrastructure owner can provide its resources to XaaS services in Service Layer 314 and C / M Layer 312; RM services can use the capabilities provided by NET4AI, DAM, and NET4DW for vertical slice resource management; and CONET and NET4Data services can use the capabilities provided by NET4BC for operation.

[0058] The proposed 6G system architecture and associated modules / platforms offer the following functionalities and advantages:

[0059] - Define the basic XaaS service by decoupling various integrated services from the basic XaaS service. The basic XaaS service provides unique capabilities to support specific types of services, such as NET4AI service, NET4DW service, DAM service, NET4Data service, blockchain service, task management service, etc.

[0060] - Allows multiple partners to jointly operate the 6G system.

[0061] - Defines the data plane for the 6G system, which includes the processing capabilities of the XaaS service data plane and provides a second communication plane. Programming the interconnection of these functions through task management services enables support for various customized customer services.

[0062] - By classifying basic control and management services and combining these services into basic XaaS services in the control and management (C / M) layer, the 6G system architecture is simplified.

[0063] - Define the C / M plane of the 6G system, which includes C / M functionality in XaaS services and may include 5G CP (e.g., AMF) depending on the implementation options.

[0064] - Define a basic architecture structure (BAS), which is a unified infrastructure with a minimal number of interfaces and is independent of the infrastructure type.

[0065] - Use the BAS concept to simplify the standardization, development and deployment of 6G systems, while supporting various infrastructure deployment scenarios.

[0066] -By leveraging the capabilities, capacity, and requirements of the infrastructure network, BAS or subsets can be applied to the infrastructure to adapt to various deployment scenarios.

[0067] -Utilize the concept of service-based interface (SBI) and apply SBI interaction on both the 6G C / M plane and the 6G data plane.

[0068] -Simplify the SBI interface by introducing a trusted GW on the data plane and C / M plane of the 6G system.

[0069] - Improve trustworthiness from the operational perspective of 6G systems by introducing CONET capabilities, NET4BC capabilities, and anonymous services provided by trusted GWs on the C / M plane and data plane of 6G systems.

[0070] - Enhance trustworthiness from the perspective of end-customer privacy protection by providing unified mutual authentication, IDM, and data cleansing through SPM service, DAM service, and 6G blockchain service.

[0071] - Simplify roaming management of wireless devices in the physical and digital worlds through unified authentication that includes all participating partners and customers.

[0072] - By introducing the BAS concept, multiple architectural options can be defined without investing a lot of effort, supporting multiple development paths from 5G systems to 6G systems.

[0073] - Backward compatibility is supported by adopting a service-based architecture and the advantages of its additional features. 5G users can access 5G services using 6G systems.

[0074] - Thanks to the introduction of the 6G C / M plane and the concept of anonymous service provision implemented in the trusted GW on 6G, future expansion can be supported by adding new XaaS services while minimizing the impact on standardization and deployment.

[0075] refer to Figure 4 This diagram illustrates an overview of an exemplary view of the NET4DW platform architecture according to an embodiment. For simplicity, common elements such as databases and functions are not shown. The gateway within the D-Inf is optional.

[0076] An exemplary platform is the Digital World Platform for Wireless Networks (NET4DW), which can provide various services to implement D-Rep. The modules in NET4DW responsible for infrastructure D-Rep and sub-platforms can be referred to as D-Inf. D-Inf 406, 408 can be instantiated in an exemplary environment 400, such as the Digital World Platform for Wireless Networks (NET4DW). D-Inf 406, 408 can be accessed from environment 400 by connecting environment control and management gateway 402 to the control and management gateway of D-Inf, and similarly by connecting environment data gateway 404 to the data gateway of D-Inf. Such connections enable interaction between D-Inf 406, 408 and other entities in environment 400 (e.g., D-Users). External entities (e.g., other service platforms including the Artificial Intelligence Platform for Wireless Networks (NET4AI) or the Data Management Platform for Wireless Networks (NET4DATA), or third-party entities) can access the NET4DW platform using the GW. The NET4DW platform can also include other modules and platforms, but for simplicity, these are not shown in the diagram above. External entities (such as other service platforms like NET4AI, NET4DATA, or third-party entities like third-party D-Inf sub-platform providers) can access the NET4DW platform using a gateway. Other options, such as direct access to D-Inf entities, will be described further in this document.

[0077] The NET4DW D-Inf module provides the ability to replicate the real world by using D-Rep and running simulations based on D-Rep. These simulations enable accurate predictions and understanding of real systems. D-Rep can exist at different levels of abstraction or granularity; for example, a D-Rep can correspond to a communication area, cell, BS, antenna, or a chip in the RF chain. The appropriate D-Rep granularity level can be determined based on factors such as the application, the prediction / simulation target, available data, available analytics, and computing resources.

[0078] The C / M and data plane functionalities of the D-Inf platform can include control and management as well as data functions. The necessary C / M and data plane functionalities may depend on the specific application / service and its requirements. For example, if the NET4DW GW provides a sufficient level of security and anonymity, the D-Inf platform can offer numerous functionalities in the C / M and data planes, including, for example: data collection capabilities, providing efficient and customizable data collection for D-Rep; connectivity capabilities, providing secure connections across various interfaces to meet challenging quality of service requirements (e.g., low latency); hosting capabilities, providing secure hosting and lifecycle management for D-Rep; and / or analytics capabilities, providing a robust and comprehensive simulation environment to achieve optimal D-Rep effectiveness.

[0079] Understandably, some alternative D-Inf services exist in the literature, such as digital twins of ports and factories enabled by cloud services. These services are D-Inf-independent solutions; no platform similar to D-Inf exists that can support or provide such services through communication networks. This leads to duplication of data collection and analysis work, resulting in inefficiency in providing infrastructure services. Consequently, the scalability, standardization, accuracy, and efficiency of these services become bottlenecks.

[0080] refer to Figure 5 This diagram illustrates a more detailed view of the NET4DW platform and D-Inf platform architecture according to exemplary embodiments. Environment 500 may include multiple D-Inf sub-platforms, such as a Digital Network (D-Net) sub-platform 510, a Digital City (D-City) sub-platform 520, and a Digital Robot (D-Robo) sub-platform 530. Sub-platforms 510, 520, and 530 are dedicated instances of D-Inf, each with some dedicated functions implemented for each sub-platform. The sub-platforms are connected to a data collection (DC) function 540 (DCF), connectivity functions 530a and 530b, a hosting function 550, and an analytics function 560. All sub-platforms can access the simulation and test environment through D-Inf data plane functions. D-Inf C / M and data plane bidirectional gateway services are provided by connectivity functions 530a and 530b. Some or all of the services of sub-platforms 510, 520, and 530 can be implemented directly within the sub-platform, or, regardless of their specificity, implemented as common C / M and data plane functions and services to all D-Inf sub-platforms. The latter implementation allows multiple DX boxes (e.g., D-Inf sub-platforms or modules) to easily access similar functionality and helps reduce duplication. In some embodiments, for example, a bidirectional gateway function can be implemented as common C / M and data plane functions to all sub-platforms, a DC function can be used to allow data exchange between sub-platforms, a hosting function can be used to maintain D-Rep in the DX box, and an analytics function can maintain simulation environment 562 resources in the C / M plane and manage the contents of libraries in the data plane.

[0081] D-Inf services can make the digital world useful and profitable. D-Inf can contain digital representations of real-world objects, along with associated integration and application capabilities. In some embodiments, D-Inf may be the sole provider of D-Rep and sub-platform services. In some embodiments, D-Inf may additionally or alternatively support third-party platform and service providers. In some embodiments, for a given service, some aspects of the service may be provided by D-Inf, while others may be provided by a third-party service provider. In some embodiments, D-Inf provides at least the essential functionalities necessary for accessing digital infrastructure, such as connectivity, collection, hosting, and / or analytics.

[0082] In some embodiments, the proposed services include OaaS, AaaS, and / or VRaaS as described below. In some embodiments, all these services utilize connectivity between dedicated DX boxes (D-Inf sub-platforms), enabling efficient collection, analysis, expansion, and customization of data. D-Inf may include sub-platforms further specialized for specific application groups. For example, network operation optimization services may be provided and / or customized by D-Net modules / sub-platforms. It is understood that the embodiments described herein are directed to products in wireless networks, but are also applicable to other D-Rep and sub-platform services. In some embodiments, services are provided and managed by at least one service module (e.g., distributed or non-distributed software and / or hardware running on the network), including, for example, an operation optimization service module, an asset management service module, and / or a virtual reality service module.

[0083] In some embodiments, services are provided as a combination of certain types of applications, services, and / or requests. For example, the D-Net box / platform can provide a combination of OaaS (Optimize Network) and AaaS (Maintain Network). These services may have unique features / functionality or may use the common functions of the D-Inf platform to achieve their purpose.

[0084] These services can be implemented in BS, core network elements, edge network elements, user equipment, sensor networks, private factory networks, and the cloud. When used in implementations, they can be detected through messages and input / output relationships. Some services can be primarily provided by the network, while others can be provided by third parties and supported by the network. For example, in some cases, the hosted network may be the network of the digital world application provider. In other cases, D-Inf may support (including independently support) third-party digital world applications. In the first case, the network may maintain D-Rep, perform simulations and analyses, collect data, etc. In the latter case, the network supports third-party applications, and the network may only be responsible for data collection, or even act as a pipeline between the data source and the digital world application provider. Connectivity services can include connections of all actuator types. For example, an actuator could be stopping a production line, prompting an asset manager to maintain an alert, or changing the scheduling parameters of the BS. Furthermore, services can include mechanisms for decision-making.

[0085] As mentioned above, the D-Inf platform can include D-Rep models of various infrastructures, including wireless networks, buildings, and intelligent transportation systems. These high-fidelity D-Rep models allow for accurate simulations, enabling accurate predictions and optimized operations. Therefore, in some embodiments, infrastructure operation optimization services are provided. This service can offer a wide range of optimized solutions for infrastructure operations. While infrastructure can be of many types and optimization methods may vary depending on the specific application, D-Inf, as a global digital platform, can meet these requirements.

[0086] In some embodiments, an Operation Optimization Service module is provided to implement OaaS, allowing customers or users associated with D-Inf to improve or optimize infrastructure operations. As an example, OaaS may include predictive services, such as predictive congestion detection, enabling reliable communication in the context of network infrastructure, estimating or predicting building occupancy at any given time, estimating or predicting building energy consumption over any given time period, and estimating or predicting output, production, and / or capacity of certain equipment and / or production lines. It is understood that when making predictions related to buildings, depending on the granularity level, real-world buildings may be represented by D-Inf or by at least one D-Rep associated with D-Inf. When making predictions related to equipment and / or production, the equipment is expected to be a real-world object represented by at least one D-Rep, and / or the production line includes at least one real-world object represented by at least one D-Rep.

[0087] In some embodiments, OaaS includes determining requirements for performing certain types of analytics, forecasts, and / or services, either in general or related to a configurable level of desired accuracy. These requirements can depend on the box of analytics and specific purpose. These requirements may include data collection requirements, analytics software and platform / hardware requirements, storage requirements (e.g., for historical data), etc.

[0088] In some embodiments, the above requirements include D-Rep granularity requirements. For example, OaaS can determine which D-Reps are needed and the smallest granularity level to obtain the desired level of accuracy. For example, a BS can be represented as a box or a collection of many other D-Reps, such as antennas, processing units, cables, etc. As another example, a building can be represented as a whole or as a group of different floors, rooms, HVAC systems, etc. Different granularity levels can be applied to different types of analyses. The digital representation module can be used to instantiate appropriate D-Reps given the desired or calculated granularity requirements.

[0089] In some embodiments, the above requirements include age-of-information (AoI) management requirements. Making accurate predictions to improve or optimize operations can rely on timely data. As part of operations optimization, OaaS can evaluate and apply various parameters, including, for example, time-sensitive networks, clock adaptation and synchronization, and specific synchronization requirements, to adjust the quality of data collection as needed to achieve the desired level of accuracy.

[0090] In some embodiments, based on defined requirements, OaaS includes collecting necessary real-world data from real-world objects associated with the D-Rep of the D-Inf, for example using one of the communication planes defined above. In some embodiments, data collection tunnels may be established to encapsulate and transmit real-world data, such as between the sensors of a real-world device or object and the corresponding D-Rep, between the sensors of a real-world object and the corresponding D-Inf, and / or between the D-Rep and the D-Inf. In some embodiments, the module implementing the D-Inf can be described as acquiring real-world data from real-world objects through the module implementing the D-Rep. In some embodiments, real-world data may be fetched from external sources (e.g., third-party platforms and / or other platforms). In some embodiments, real-world data may be fetched from internal sources (e.g., internal databases).

[0091] In some embodiments, OaaS includes storage for retrieved real-world data, analytics results, and / or other data. In some embodiments, OaaS can calculate the storage space required to collect a predetermined amount of historical data and analytics results. In some embodiments, OaaS can calculate the amount of historical data and analytics results that may be collected within the predetermined storage space.

[0092] In some embodiments, OaaS provides operational optimization to achieve compliance with one or more predetermined standards, such as technical standards like ISO™ or ANSI™ standards, such as ISO 55000. In some embodiments, OaaS can evaluate the operational performance of the infrastructure. In some embodiments, OaaS can determine the level of compliance of the infrastructure with one or more predetermined standards, for example, based on performance. In some embodiments, OaaS can provide compliance metrics. These compliance metrics may include, for example, the percentage of compliance of the infrastructure with one or more predetermined standards.

[0093] Both real-world and digital assets require lifecycle and maintenance management. D-Inf is ubiquitous, allowing for rapid, scalable, and customizable deployment. Therefore, infrastructure asset management services (AaaS) can provide solutions for proactive lifecycle and maintenance management of both physical and digital assets. AaaS can provide both short-term and real-time health management of infrastructure assets, as well as long-term strategic analysis and prediction of infrastructure usage and health. AaaS facilitates asset management by providing a scalable, multidisciplinary, and integrated platform. When multiple real-world entities are part of the same D-Rep, they can be maintained in real-time by AaaS.

[0094] In some embodiments, an asset management service module is provided to implement AaaS. Several exemplary use cases are applicable to AaaS. One example is water treatment facilities, road infrastructure, and aging buildings. In this case, the customer or user can be a municipality, government organization, or private organization responsible for maintaining these facilities. Another example is managing a fleet of robots, such as elderly care robots. In this scenario, a customer or user with multiple robots can monitor the health of the robots and the quality of services they provide. For example, AaaS enables short-term analysis and forecasting to develop long-term strategies for fleet management. In some embodiments, a D-Rep-based process can learn the characteristics and tasks of the robots. For example, AaaS for a robot fleet can include assigning a unique identifier, such as a “robot ID,” to each robot, and a unique identifier, such as a “task ID,” to each task, enabling collaborative learning and classification of tasks by mapping robot behavior to complex tasks. Thus, robot fleets can leverage digital world services to make their operations safer and more efficient, and robot fleet operators can gain ubiquitous connectivity, data management, processing, and analysis capabilities. In another example, logistics companies can use AaaS and leverage technologies such as Space-Air-Ground Integrated Network to manage remote entities, such as cargo planes, ships, and / or aircraft.

[0095] In some embodiments, the AaaS includes using real-world data to monitor and / or assess the condition or "health" of real-world objects corresponding to the infrastructure assets being managed, such as using sensors installed within, on, or near each object. In some embodiments, the AaaS includes using the object health assessment to make short-term and / or long-term forecasts and / or plans for the infrastructure. For example, current and / or historical real-world data associated with infrastructure objects can be used to perform long-term use and / or health forecasts of the assets, and / or provide maintenance planning services. Maintenance planning services can analyze real-world data to predict the maintenance requirements of the assets. In some embodiments, maintenance planning services are used to generate and / or optimize maintenance schedules.

[0096] In some embodiments, AaaS includes a subscription management service to improve coordination among employees, such as customers or users, regarding asset management. The subscription management service may include broadcasting the results of health assessments and analyses and / or maintenance plans to subscribed entities or subscribers (e.g., customer employee members). In some embodiments, each subscriber is associated with a level (e.g., an access control management level), and the data and / or information provided to subscribers is a function of the subscriber level. In some embodiments, data and / or information are categorized, processed, and prepared based on each subscriber's level. In some embodiments, information containers are automatically updated and / or formatted for customer and / or subscriber availability and ease of use. In some embodiments, the subscription management service includes triggering alerts based on data, information, and / or its analysis. For example, alerts may be triggered based on health data, such as asset health assessments. In some embodiments, data tagging methods are applied to generate code related to alerts, maintenance, and / or results.

[0097] In some embodiments, AaaS includes collecting necessary real-world data from real-world objects associated with the D-Rep of the D-Inf being monitored, for example using communication methods and / or data sources similar to those defined above with respect to OaaS. In some embodiments, both local and global data are collected and stored. In some embodiments, data collection is enhanced by or integrated with a geographic information system (GIS). In some embodiments, data collection is enhanced by or integrated with a building information modeling (BIM) system.

[0098] In some embodiments, AaaS data collection relies in part or in whole on the integrated sensing and communication capabilities of the wireless network. For example, passive network elements and / or access points, preferably with multiple antennas, can be used to scan for data related to surrounding real-world objects (e.g., buildings) associated with the D-Rep, such as health-related data. In some embodiments, at least one base station is used to advantageously scan nearby buildings and roads during off-peak hours. The scan results can be preprocessed at the access point, and / or the raw scan data can be sent to a digital world and / or asset management service module and / or provider. In some embodiments, the asset management service provider is the network itself, as further described above. In some embodiments, specific network devices (e.g., some or all access points) are equipped with sensing elements, such as reconfigurable smart surfaces. In some embodiments, the base station operates in conjunction with one or more reconfigurable smart surfaces. In some embodiments, the collected information (including the scan results) is stored, processed, and / or used, for example, by a digital representation module to obtain and / or update the D-Rep of the infrastructure. In some embodiments, the scan results are compared with previously collected information to assess the accuracy and / or effectiveness of the scan. Previously collected information may include, for example, one or more BIM models, one or more GIS models, LiDAR scans, map information, and / or material information, including data related to building materials (e.g., concrete, plastics, etc.) used in the construction of the object. In some embodiments, scan parameters are adjusted based on the accuracy and / or effectiveness of the assessed scans. Adjusting scan parameters may, for example, include updating beamforming. In some embodiments, the health of infrastructure and / or assets associated with the infrastructure is assessed based on scans without the use of additional equipment. The method described herein creates a highly connected environment for efficiently managing data and computational aspects, which is beneficial to operators and clients or users, especially when considering large-scale projects.

[0099] In some embodiments, the AaaS includes a certification requirement analysis service that assists in making (or maintaining) infrastructure compliant with one or more standards, such as technical standards like ISO 55000. The AaaS can be advantageously used to specify the D-Rep and Digital World standards necessary for compliance with one or more predetermined standards using the latest certification requirement blueprints. In some embodiments, if a customer or user requires infrastructure compliance with a specific standard, the requirements are derived based on the customer's or user's specific AaaS needs. In some embodiments, the certification requirement analysis service provides interpretation and / or explanation of a specific standard. For example, a hosting function may request the analysis function to interpret the artificial intelligence algorithms necessary for compliance with standardization and / or improvement and / or fine-tuning. For example, if a first sub-platform provides a service using a first method, and a second sub-platform provides the same service using a second method, and if the first method provides better performance, for example, by providing more accurate results, and / or by providing results using fewer computational resources and / or less data, the AaaS may recommend that the second sub-platform use the first method. In some embodiments, to provide this service, the analysis function may request a data collection function to collect performance information on methods used to provide similar services.

[0100] VRaaS offers solutions for extending, enhancing, and providing virtual reality services through customizable deployments. D-Inf's D-Rep service, along with other services such as NET4DW's, can help meet the challenging requirements of virtual reality services, such as reducing latency by providing accurate predictions. VRaaS can utilize not only user device input from virtual reality clients or users but also perceptual data from networks and other peripheral components.

[0101] In some embodiments, a virtual reality service module is provided to offer a massive virtual reality (VR) library. For example, D-Inf can be used to provide libraries and / or databases, such as libraries and / or databases of rooms, city segments (such as streets, shopping malls, etc.), to support VR services. In some embodiments, relevant information can be cached for access from locations closer to the VR server or user. In some embodiments, network environment and / or capability information and / or analytics can be shared with the user's digital representation (D-User) to allow the user to modify their traffic. In some embodiments, D-Inf can also be a provider of VR services.

[0102] In some embodiments, VRaaS is used to provide VR applications. For example, VR asset management services can be provided. In some embodiments, VR asset management services generate detailed reports and adjust the information level for clients based on the reports, as explained in more detail in the section on AaaS above. In some embodiments, realistic VR representations of assets can be created to generate 3D visual representations. VR asset management services can facilitate repair, maintenance, reporting, etc. For example, when a damage and / or repair report needs to be prepared, VR-based information / videos / applications can be broadcast to and / or shared with stakeholders. The level of detail in the shared information / reports can be adjusted based on the level of the report recipients, such that, for example, some subscribers receive limited access, some receive full access, some receive reports with managerial-level abstractions, and some receive reports containing additional technical details. These reports can also be easily adapted to standardized templates.

[0103] In some embodiments, D-Inf support for VRaaS includes interaction between several NET4DW platforms, such as D-User, D-City, and D-Net, enabling cross-box environment-aware services. For example, the perceived data, analytics, and / or predictions can be used not only to describe the surrounding environment but also to provide VR clients or users (e.g., end users, VR service providers, or other VR service supporters) with information about network capabilities. Therefore, VRaaS can provide optimizations across D-Inf boxes.

[0104] In this disclosure, the terms “a,” “an,” and “an” are defined to mean “at least one,” that is, unless otherwise stated, these terms do not exclude multiple items.

[0105] In this disclosure, terms such as “substantially,” “usually,” and “about” that modify the value, condition, or characteristic of a feature of an exemplary embodiment should be understood to indicate that the value, condition, or characteristic is defined within acceptable tolerances to ensure that the exemplary embodiment can function properly in its intended application.

[0106] In this disclosure, unless otherwise stated, the terms “connection” and “coupling”, and their derivatives and variations, refer herein to any direct or indirect structural or functional connection or coupling between two or more elements. For example, a connection or coupling between elements can be acoustic, mechanical, optical, electrical, thermal, logical, or any combination thereof.

[0107] In this disclosure, expressions such as “matching,” “matching quality,” “matching,” and the like, including their variations and derivatives, are intended to refer to a state in which two or more elements are identical or within a predetermined tolerance range. That is, these terms are intended not only to cover a “complete” or “identical” match between two elements, but also a “roughly,” “approximately,” or “subjectively” match between two or more elements, as well as providing a higher or best match among multiple matching possibilities.

[0108] In this disclosure, the expression “based on” is intended to mean “at least partially based on,” that is, the expression can mean “based on only” or “partially based on,” and therefore should not be interpreted in a restrictive manner. More specifically, the expression “based on” can also be understood as “depending on,” “representing,” “instructing,” “associated with,” or similar expressions.

[0109] In this disclosure, "at least one" means one or more, and "more than" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships may exist. For example, A and / or B can represent cases including "only A", "both A and B", and "only B", where A and B can be singular or plural. The character " / " generally indicates that the related objects are in an OR relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of one or more items. For example, "at least one of a, b, or c" can represent a, b, c, "a and b", "a and c", "b and c", or "a, b, and c", where a, b, and c can be single or multiple.

[0110] This disclosure includes various embodiments, not only method embodiments, but also other embodiments, such as apparatus embodiments and embodiments related to non-transitory computer-readable storage media. Embodiments may be incorporated individually or in combination with the features disclosed herein.

[0111] Although this disclosure references illustrative embodiments, it is not intended to be construed in a limiting sense. Various modifications and combinations of the illustrative embodiments, as well as other embodiments of this disclosure, will be apparent to those skilled in the art upon reference to this specification.

Claims

1. A method for providing digital infrastructure services in the digital world, characterized in that, The method includes: The digital representation module instantiates a digital representation D-Rep in the digital world, the digital representation corresponding to a digital copy of a real-world object; The digital infrastructure module instantiates the digital infrastructure D-Inf in the digital world, which corresponds to real-world infrastructure. The real-world infrastructure includes the real-world objects, and the digital infrastructure includes the digital representation corresponding to the real-world objects. The real-world object transmits real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; and At least one service module uses the communication plane to provide the digital infrastructure services to the user.

2. The method according to claim 2, characterized in that, The at least one service module includes at least one of the following: An operation optimization service module is used to allow the user associated with the digital infrastructure to modify the operation of the real-world infrastructure; The asset management service module is used to assist the user in managing the assets of the infrastructure; and A virtual reality service module is used to provide at least one virtual reality library to provide the real-world data to virtual reality applications.

3. The method according to claim 2, characterized in that, The real-world data is sent to the digital infrastructure module through the digital representation module.

4. The method according to claim 2 or 3, characterized in that, Also includes: Access point scanning corresponds to at least one of the real-world objects in the real-world infrastructure of the digital infrastructure to obtain scan results.

5. The method according to claim 4, characterized in that, At least one of the real-world objects being scanned corresponds to a building.

6. The method according to claim 4 or 5, characterized in that, The access point includes a reconfigurable smart surface, wherein the scan is performed by the reconfigurable smart surface.

7. The method according to any one of claims 4 to 6, characterized in that, Also includes: The access point preprocesses the scan results.

8. The method according to any one of claims 4 to 7, characterized in that, Also includes: The access point sends the unprocessed scan results to the digital world.

9. The method according to any one of claims 4 to 8, characterized in that, Also includes: The digital representation module instantiates the digital representation based on the scan results.

10. The method according to any one of claims 4 to 9, characterized in that, Also includes: The accuracy of the scan results is assessed based on previously collected information.

11. The method according to claim 10, characterized in that, The previously collected information includes at least one of the following: building model, geographic information system model, LiDAR scan, map information, and material information.

12. The method according to claim 10 or 11, characterized in that, Also includes: Adjust the scanning parameters based on the scanning accuracy.

13. The method according to any one of claims 4 to 12, characterized in that, The scans are performed during off-peak hours.

14. The method according to any one of claims 2 to 13, characterized in that, Also includes: At least one of the at least one service modules determines and applies the synchronization requirements needed to obtain configurable accuracy.

15. The method according to any one of claims 2 to 14, characterized in that, Also includes: At least one of the at least one service module retrieves the real-world data from the real-world object through the digital representation and the communication plane according to the determined requirements.

16. The method according to claim 15, characterized in that, Retrieving the real-world data includes establishing at least one tunnel between a real-world object and its corresponding digital representation.

17. The method according to any one of claims 2 to 16, characterized in that, Also includes: The digital representation module instantiates the digital representation at different levels of abstraction, wherein the different levels of abstraction are determined based on at least one of application, prediction target, simulation target, available data, available analytical resources, and available computing resources.

18. The method according to any one of claims 2 to 17, characterized in that, Also includes: The operation optimization service module performs at least one prediction, the at least one prediction including at least one of the following: Predicting network congestion; Prediction of building occupancy, wherein the building corresponds to the real-world infrastructure or to a real-world object in the real-world infrastructure corresponding to the digital infrastructure; Prediction of the building's energy consumption; Forecasting the output of equipment, wherein the equipment corresponds to a real-world object in the real-world infrastructure corresponding to the digital infrastructure; and Forecasting the capacity of a production line, wherein the production line includes at least one real-world object in the real-world infrastructure corresponding to the digital infrastructure.

19. The method according to any one of claims 2 to 18, characterized in that, Also includes: The operation optimization service module determines the requirements of one of the at least one service module to provide the digital infrastructure service with configurable accuracy, wherein the requirements include at least one of the following: Information indicating the quality of data collection and age management requirements; Data collection requirements; Analyze software or hardware requirements; and Storage requirements based on a defined amount of historical data.

20. The method according to any one of claims 2 to 19, characterized in that, Also includes: The operation optimization service module measures the performance of the real-world infrastructure corresponding to the digital infrastructure.

21. The method according to claim 20, characterized in that, Also includes: The operation optimization service module determines the level of compliance with technical standards based on the performance.

22. The method according to claim 21, characterized in that, Also includes: The operation optimization service module determines compliance indicators based on the compliance level.

23. The method according to claim 22, characterized in that, The compliance metric is the percentage of compliance.

24. The method according to any one of claims 2 to 23, characterized in that, Also includes: The asset management service module manages the health of the real-world infrastructure corresponding to the digital infrastructure in real time based on real-world data.

25. The method according to claim 24, characterized in that, Also includes: The asset management service module generates a requirements blueprint associated with technical standards, wherein the health management is also based on the requirements blueprint.

26. The method according to claim 24 or 25, characterized in that, The user is associated with a subscriber, wherein the health management includes: the asset management service module generating at least one of health data and formatted data updates, and broadcasting the at least one of the health data and the formatted data updates to the subscriber.

27. The method according to claim 26, characterized in that, Also includes: The asset management service module categorizes, processes, and prepares the health data for each subscriber.

28. The method according to claim 26 or 27, characterized in that, Also includes: The asset management service module triggers an alarm based on the health data.

29. The method according to any one of claims 2 to 28, characterized in that, Also includes: The asset management service module performs at least one long-term prediction based on historical real-world data, and the at least one long-term prediction includes at least one of the following: Long-term usage forecasts of the real-world infrastructure corresponding to the digital infrastructure; and Long-term health predictions of the real-world infrastructure corresponding to the digital infrastructure.

30. The method according to any one of claims 2 to 29, characterized in that, The asset management service module is used for integration with geographic information systems.

31. The method according to any one of claims 2 to 30, characterized in that, The asset management service module is used for integration with the building information modeling system.

32. The method according to claim 15 or 16, characterized in that, Retrieving the real-world data includes: the asset management service module preprocessing the retrieved real-world data.

33. The method according to any one of claims 2 to 32, characterized in that, Also includes: The asset management service module predicts the maintenance requirements of the real-world infrastructure corresponding to the digital infrastructure.

34. The method according to claim 33, characterized in that, Predicting the maintenance requirements includes generating a maintenance plan.

35. The method according to any one of claims 2 to 34, characterized in that, Also includes: The virtual reality service module monitors the interaction between the digital infrastructure and at least one other digital box, the at least one other digital box including at least one of the following: At least one digital user, each digital user corresponding to a representation of a real-world user in the digital world; At least one digital city, each digital city corresponding to a representation of a real-world city in the digital world; and At least one digital network, each digital network corresponding to a representation of a real-world network in the digital world.

36. The method according to claim 35, characterized in that, Also includes: The virtual reality service module performs optimization based on at least one other service module among the at least one service module.

37. The method according to any one of claims 2 to 36, characterized in that, Also includes: The virtual reality service module acquires network information and shares the network information with at least one digital user for each corresponding digital user in order to modify the network traffic associated with the corresponding digital user.

38. The method according to any one of claims 2 to 37, characterized in that, Also includes: The virtual reality service module caches at least a portion of the real-world data in a location closer to the virtual reality server and / or the virtual reality user.

39. The method according to any one of claims 2 to 38, characterized in that, The virtual reality application is provided by the digital infrastructure.

40. The method according to claim 39, characterized in that, Also includes: The virtual reality application creates a three-dimensional visual representation of the assets of the infrastructure to facilitate the management of the assets.

41. The method according to claim 40, characterized in that, Also includes: The virtual reality application generates a report.

42. The method according to claim 41, characterized in that, Generating the report for the customer includes adjusting the information level based on the customer's access level.

43. A system for providing digital infrastructure services in the digital world, characterized in that, The system includes: A digital representation module is used to instantiate a digital representation D-Rep in the digital world, the digital representation corresponding to a digital copy of a real-world object; A digital infrastructure module is used to instantiate digital infrastructure D-Inf in the digital world, the digital infrastructure corresponding to real-world infrastructure, the real-world infrastructure including the real-world object, and the digital infrastructure including the digital representation corresponding to the real-world object; A communication plane for the real-world object to transmit real-world data to at least one of the digital representation module and the digital infrastructure module; and At least one service module is used to provide the digital infrastructure services to users using the communication plane.

44. A computer-readable medium, characterized in that, Includes computer instructions that, when executed by at least one processor, provide digital infrastructure services in the digital world, the instructions being used for: The digital representation module instantiates a digital representation D-Rep in the digital world, the digital representation corresponding to a digital copy of a real-world object; The digital infrastructure module instantiates the digital infrastructure D-Inf in the digital world, which corresponds to real-world infrastructure. The real-world infrastructure includes the real-world objects, and the digital infrastructure includes the digital representation corresponding to the real-world objects. as well as The real-world object sends real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; At least one service module uses the communication plane to provide the digital infrastructure services to the user.

45. A system for providing digital infrastructure services in the digital world, characterized in that, The system includes: Memory, used to store instructions; and One or more processors are configured to execute the instructions and cause the system to perform the following operations: The digital representation module instantiates a digital representation D-Rep in the digital world, the digital representation corresponding to a digital copy of a real-world object; The digital infrastructure module instantiates the digital infrastructure D-Inf in the digital world, which corresponds to real-world infrastructure. The real-world infrastructure includes the real-world objects, and the digital infrastructure includes the digital representation corresponding to the real-world objects. The real-world object transmits real-world data to at least one of the digital representation module and the digital infrastructure module via a communication plane; and At least one service module uses the communication plane to provide the digital infrastructure services to the user.

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