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ISO 20140-5:2017 Automation systems and integration - Evaluating energy efficiency and other factors of manufacturing systems that influence the environment - Part 5: Environmental performance evaluation data

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.

ISO 20140-5:2017

ISO/IEC/IEEE DIS 24641Systems and Software engineering -- Methods and tools for model-based systems and software engineering

This International Standard, within the context of methods and tools for MBSSE: (1) Provides terms and definitions related to MBSSE; (2) Defines MBSSE-specific processes for model-based systems and software engineering; the processes are described in terms of purpose, inputs, tasks, and outcomes; (3) Defines methods to support the defined tasks of each process; and (4) Defines tool capabilities to automate/semi-automate tasks or methods.

ISO/IEC/IEEE DIS 24641

draft-contreras-alto-service-edge-04 Use of ALTO for Determining Service Edge

Service providers are starting to deploy and interconnect computing capabilities across the network for hosting network functions and applications. In distributed computing environments, both computing and topological information are necessary in order to determine the more convenient infrastructure where to deploy such a service or application. This document proposes an initial approach towards the use of ALTO to provide such information and assist the selection of appropriate deployment locations for services and applications.

draft-contreras-alto-service-edge-04

draft-ietf-mops-ar-use-case-04Media Operations Use Case for an Augmented Reality Application on Edge Computing Infrastructure

This document explores the issues involved in the use of Edge Computing resources to operationalize media use cases that involve Extended Reality (XR) applications. In particular, it discusses those applications that run on devices having different form factors and need Edge computing resources to mitigate the effect of problems such as a need to support interactive communication requiring low latency, limited battery power, and heat dissipation from those devices. The intended audience for this document are network operators who are interested in providing edge computing resources to operationalize the requirements of such applications.

draft-ietf-mops-ar-use-case-04

IEC TR 63283-1:2022Industrial-process measurement, control and automation - Smart manufacturing - Part 1: Terms and definitions

IEC TR 63283-1:2022(E) is to compile a comprehensive collection of base terminology with compatible terms that can become relevant within the scope of Smart Manufacturing. Most of these terms refer to existing definitions in the domain of industrial-process measurement, control and automation and its various subdomains. When multiple similar definitions exist for the exact same term in different standards, this document contains only the preferred definition in the context of Smart Manufacturing. Whenever the existing definitions are not compatible with other terms in this document or when the definition does not fit into the broader scope of Smart Manufacturing, new or modified definitions are given.

IEC TR 63283-1:2022

IEC 62832-1:2020Industrial-process measurement, control and automation - Digital factory framework - Part 1: General principles

IEC 62832-1:2020 defines the general principles of the Digital Factory framework (DF framework), which is a set of model elements (DF reference model) and rules for modelling production systems. This DF framework defines: a) model of production system assets; b) a model of relationships between different production system assets; c) the flow of information about production system assets. d) The DF framework does not cover representation of building construction, input resources (such as raw production material, assembly parts), consumables, work pieces in process, nor end products.. e) It applies to the three types of production processes (continuous control, batch control, and discrete control) in any industrial sector (for example aeronautic industries, automotive, chemicals, wood).

IEC 62832-1:2020

Sustainability of construction works - Environmental product declarations - Methodology for selection and use of generic data;

This technical report describes the sources and methodology to be used when preparing generic data for environmental product declarations. The methodology complies with the requirements of ISO 14040. The report supports the development of the product category rules for environmental declarations of building products, processes and services addressing the use of generic data.

CEN/TR 15941