Standard

IEC 62541-10:2020 RLV contains both the official IEC International Standard and its Redline version. The Redline version is available in English only and provides you with a quick and easy way to compare all the changes between the official IEC Standard and its previous edition. IEC 62541-10:2020 defines the information model associated with Programs in the OPC Unified Architecture. This includes the description of the NodeClasses, standard Properties, Methods and Events and associated behaviour and information for Programs. The complete Address Space model including all NodeClasses and Attributes is specified in IEC 62541-3. The Services such as those used to invoke the Methods used to manage Programs are specified in IEC 62541 4. This third edition cancels and replaces the second edition published in 2015. This edition includes several clarifications and in addition the following significant technical changes with respect to the previous edition: a) Changed ProgramType to ProgramStateMachineType. This is in line with the NodeSet (and thus implementations). In ProgramDiagnosticDataType: changed the definition of lastInputArguments and lastOutputArguments and added two additional fields for the argument values. Also changed StatusResult into StatusCode. Created new version of the type to ProgramDiagnostic2DataType. b) Changed Optional modelling rule to OptionalPlaceHolder for Program control Methods. Following the clarification in IEC 62541-3, this now allows subtypes (or instances) to add arguments.

IEC 62872-1:2019(E) defines the interface, in terms of information flow, between industrial facilities and the 'smart grid'. It identifies, profiles and extends where required, the standards needed to allow the exchange of the information needed to support the planning, management and control of electric energy flow between the industrial facility and the smart grid. The scope of this document specifically excludes the protocols needed for the direct control of energy resources within a facility where the control and ultimate liability for such control is delegated by the industrial facility to the external entity (e.g. distributed energy resource (DER) control by the electrical grid operator).

IEC TR 62541-2:2020 which contains the International Standard and its Redline version, showing all changes of the technical content compared to the previous edition. IEC 62541-2:2020 describes the OPC Unified Architecture (OPC UA) security model. It describes the security threats of the physical, hardware, and software environments in which OPC UA is expected to run. It describes how OPC UA relies upon other standards for security. It provides definition of common security terms that are used in this and other parts of the OPC UA specification. It gives an overview of the security features that are specified in other parts of the OPC UA specification. It references services, mappings, and Profiles that are specified normatively in other parts of the OPC UA Specification. It provides suggestions or best practice guidelines on implementing security. Any seeming ambiguity between this part and one of the other normative parts does not remove or reduce the requirement specified in the other normative part.

IEC TR 62541-1:2020 which contains the International Standard and its Redline version, showing all changes of the technical content compared to the previous edition. IEC 62541-1:2020 presents the concepts and overview of the OPC Unified Architecture (OPC UA). Reading this document is helpful to understand the remaining parts of this multi-part document set. Each of the other parts of IEC 62451 is briefly explained along with a suggested reading order.

Recommendation ITU-T F.743.10 specifies the general framework, scenarios and requirements for mobile edge computing- (MEC-)enabled content delivery networks (CDNs). Recommendation ITU_T F.743.10 also specifies the requirements for MEC functions on which a CDN edge node relies. The deployment of a CDN edge node with an MEC system is described in the general framework. Several use cases are introduced in Recommendation ITU-T F.743.10 to illustrate the usage of MEC-enabled CDN.

This draft Recommendation specifies the framework of capability exposure function (CEF) in edge computing for IMT-2020 networks and beyond. The scope of this document includes: - Requirements of capability exposure function in edge computing; - Framework of capability exposure function in edge computing; - Functionalities and reference points of capability exposure function in edge computing; - Procedures of capability exposure function in edge computing.

The draft Recommendation describes the requirements, architecture, functional entities, reference points and information flows of local shunting for multi-access edge computing in IMT-2020 networks.

A unified and cloud-based edge computing platform allows operators to flexibly deploy network functions and support infrastructure for fixed-mobile network convergence, to provide a unified multi-access edge computing capability for all network access technologies in IMT-2020 networks. This draft Recommendation aims to describe the requirements, architecture and functions of unified multi-access edge computing for supporting fixed mobile convergence (FMC) network.

For development of the IEC architecture, there are couple of software-oriented architectural ways to build flexible protocol architecture achieved by deploying and operating the architecture, for instance, an unified software oriented architecture, which is composing logically modular functions to tightly coupled way as a monolithic architecture and microservice architecture which is loosely composing logically or physically separated own processing functions as microservices. Because IEC has developed on different hardware specifications and various functionalities that each business wants, it is standardized based on microservices and used as a reference standard for implementation. As a result of microservices based IEC architecture, it can be continuously developed and operated by updating microservices. This Recommendation specifies signalling architecture, protocol interfaces, protocol procedures and message format for microservices based intelligent edge computing.

This Recommendation describes the requirements for a function which enables the cooperation of multiple edge gateways (CMEG) to complete complex tasks. It also describes the required capabilities and requirements of key components. The CEMG function can support the information exchanging among multiple edge gateways and deal with gateway failure cooperatively. It can also specify the central gateway which is responsible for selecting a cooperative gateway for each gateway, which in turn monitors the status of its partner gateway, and manages the cooperative data and devices.

The gateway is an important component of Internet of things (IoT) systems, enabling IoT devices to connect to communication networks. Edge computing technologies can benefit the IoT, providing computation, storage, networking and intelligence in proximity to IoT devices. Compared with the common gateway [ITU-T Y.4101], the edge-computing-enabled gateway in the IoT (EC-enabled IoT gateway) has additional capabilities supporting service layer interworking, and application layer interworking between IoT devices, IoT platforms and IoT application servers. In addition, the EC-enabled IoT gateway supports data transmission capabilities for IoT applications sensitive to time, latency, jitter and packet loss. Based on the common requirements and capabilities of a gateway for IoT applications [ITU-T Y.4101] and IoT requirements for support of edge computing [ITU-T Y.4208], additional capabilities and capability framework of the edge-computing-enabled gateway in the IoT are specified. Examples of applicability of the edge-computing-enabled gateway in the IoT are also given.

Recommendation ITU-T F.743.12 defines the requirements for edge computing in video surveillance. Edge computing is a distributed computing paradigm aimed at providing various computing services at the edge of the network, and it brings computation and data storage closer to the data source or the location where it is needed, to improve response time and save bandwidth. By using the edge computing technology, the video surveillance system can perform intelligent video analysis and store data near the network premises units. And the edge computing platform provides the management capabilities of the edge resources and functional components to the video surveillance system. It can improve the video processing efficiency and quality of services and reduce the infrastructure cost of the video surveillance system. This Recommendation describes the application scenarios and requirements for edge computing in the video surveillance system.