ISO/IEC

ISO/IEC TR 30164:2020 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.

ISO/IEC TR 22417:2017(E) This technical report identifies IoT scenarios and use cases based on real-world applications and requirements. The use cases provide a practical context for considerations on interoperability and standards based on user experience. They also clarify where existing standards can be applied and highlight where standardization work is needed.

ISO/IEC 30163:2021 specifies the system requirements of an Internet of Things (IoT)/Sensor Network (SN) technology-based platform for chattel asset monitoring supporting financial services, including: - System infrastructure that describes functional components; - System and functional requirements during the entire chattel asset management process, including chattel assets in transition, in/out of warehouse, storage, mortgage, etc.; - Performance requirements and performance specifications of each functional component; - Interface definition of the integrated platform system. This document is applicable to the design and development of IoT/SN system for chattel asset monitoring supporting financial services.

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 .

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).

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 defines a structured description method, which describes the functionalities of IoT devices, including what functionalities an IoT device can provide, and how to use the functionalities of IoT device. In details, the contents: 1. Define concept of IoT Device Model: what is IoT Device Model, and how it works with underlying IoT communication protocols; 2. Specify structure of IoT Device Model: define the elements of Status, Profile, and Resource; Furthermore, specify the structure of Resource element, to describe the functionalities of IoT devices through Property, Service, and Event; 3. Specify construction method of IoT Device Model: how to build IoT device functionalities based on IoT Device Model; 4. Describe the device interoperability based on the IoT Device Model: IoT Device Model discovery, remote query, remote controlling, subscription and data uploading.

This document provides a collection of representative use cases of Digital Twin applications in a variety of domains.

This document specifies functional requirements and architecture about the following items for resource interoperability among heterogeneous IoT platforms (e.g., oneM2M, GS1 Oliot, IBM Watson IoT, OCF IoTivity, and FIWARE, etc.) through the conversion of resource identifiers (IDs) and paths (e.g., uniform resource identifier (URI)): Requirements for interoperability of resource IDs in the heterogeneous IoT platforms; Functional architecture for converting IDs and paths of resources on heterogeneous platforms; and, Functional architecture for mapping and managing resource IDs among heterogeneous platforms.

This International Standard applies to automatic identification device communication conventions and standardizes the reporting of data carriers from bar code readers and other automatic identification equipment. It specifies a preamble message generated by the reader and interpretable by the receiving system, which indicates the bar code symbology or other origin of transmitted data, together with details of certain specified optional processing features associated with the data message.

This document defines a reference architecture of Knowledge Engineering (KE) in Artificial Intelligence (AI). The reference architecture describes KE roles, activities, constructional layers, components and their relationships among themselves and other systems from systemic user and functional views. This document also provides a common KE vocabulary by defining KE terms

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.