This standard defines an approach for using HTTP URIs as identifiers in AIDC systems and a basic common API for querying online services for information about identified items. It cites IEC 61406, ISO/IEC standards 15418 and 15459, and the concepts of Linked Data as foundational but does not define a new identifier system nor a new URI scheme.
This document defines the requirements for the symbology known as QR Code. It specifies the QR Code symbology characteristics, data character encoding methods, symbol formats, dimensional characteristics, error correction rules, reference decoding algorithm, production quality requirements, and user-selectable application parameters.
ISO 20140-5:2017 specifies the types of environmental performance evaluation (EPE) data, including their attributes, which can be used for evaluating the environmental performance of manufacturing systems based on the general principles described in ISO 20140_1. It also provides recommendations for mapping the EPE data on to information models specified by IEC 62264. ISO 20140-5:2017 applies to discrete, batch and continuous manufacturing. ISO 20140-5:2017 is applicable to entire manufacturing facilities and to parts of a manufacturing facility. ISO 20140-5:2017 specifically excludes from its scope the syntax of the data and information models, the protocols to exchange data models, the functions that can be enabled by data models, and the activities in Level 1 and Level 2. The scope of ISO 20140-5:2017 also includes indicating the differences among various data and information models and the differences among various representations of environmental performance by actual data. ISO 20140-5:2017 refers to the semantics of the structured data and information models used by communication protocols. The semantics explain the meaning of the attributes and of the context information. The following are outside the scope of ISO 20140-5:2017: a) product life cycle assessment; b) EPE data that are specific to a particular industry sector, manufacturer or machinery; c) acquisition of data; d) the activity of data communication.
This document establishes terminology for Digital Twin (DT) and describes concepts in the field of Digital Twin, including the terms and definitions of Digital Twin, concepts of Digital Twin (e.g., Digital Twin ecosystem, lifecycle process for Digital Twin, and classifications of Digital Twin), Functional view of Digital Twin and Digital Twin stakeholders.
This document provides a standardized generic Digital Twin maturity model, definition of assessment indicators, guidance for a maturity assessment, and other practical classifications of Digital Twin capabilities, etc.
This document provides a collection of representative use cases of Digital Twin applications in a variety of domains.
The document defines a conceptual model for the building of use cases; specifies a use case template ontology, i.e. vocabulary as well as conventions for describing and representing use case contents; provides guidance on building use case templates and on extending a use case ontology to cover the targeted standard; provides examples of use case templates and use cases; and specifies an implementation scheme that will allow use cases to be stored and shared in a repository.
This document provides an overview of Digital Twin, describes the capabilities, range, characteristics and requirements, and establishes a well-defined conceptual model, reference model and reference architectural views including usage view, functional view, and network view. This document is applicable to all types of organizations (e.g., commercial enterprises, government agencies, not-for-profit organizations).
Based on ISO/IEC 21823-1, this document provides the basic concepts for IoT systems and digital twin systems behavioral and policy interoperability. This includes - requirements - guidance on how to identify points of interoperability - guidance on how to express behavioral and policy information on capabilities - guidance on how to achieve trustworthiness interoperability, and - use cases and examples .
The document describes the common concepts, terminologies, characteristics, use cases and technologies (including data management, coordination, processing, network functionality, heterogeneous computing, security, hardware/software optimization) of edge computing for IoT systems applications. This document is also meant to assist in the identification of potential areas for standardization in edge computing for IoT. The document describes several use cases from different domains: Smart elevator, Smart video monitoring, Intelligent transport systems, Process control in smart factory, Virtual power plant, Automated crop monitoring and management system, Smart lightning system.
ISO/IEC 21823-3:2021 provides the basic concepts for IoT systems semantic interoperability, as described in the facet model of ISO/IEC 21823-1, including: (1) requirements of the core ontologies for semantic interoperability; (2) best practices and guidance on how to use ontologies and to develop domain-specific applications, including the need to allow for extensibility and connection to external ontologies; (3) cross-domain specification and formalization of ontologies to provide harmonized utilization of existing ontologies; (4) relevant IoT ontologies along with comparative study of the characteristics and approaches in terms of modularity, extensibility, reusability, scalability, interoperability with upper ontologies, and so on; and (5) use cases and service scenarios that exhibit necessities and requirements of semantic interoperability.
ISO/IEC TR 30148:2019 describes
- the structure of wireless gas meter networks, and
- the application protocol of wireless gas meter networks.