The European Standard EN 50636-2-107:2015 specifies safety requirements and their verification for the design and construction of robotic battery powered electrical rotary lawnmowers and their peripherals with the rated voltage of the battery being not more than 75 V d.c. charged by mains electrical and/or alternative energies, e.g. solar power.This amendment was developed to align the current standard EN 50636-2-107:2015 with the major changes from IEC 60335-2-107:2017 +A1 :2020.
The objective of the paper is to show how the OAM can be used to realize seamless integration of product information, with an emphasis on assembly, throughout all phases of a product design
the main categories of cutting tool data and the relationships between them. It provides a general information model of data representation and information exchange for these categories, as well as an overview of the principles of product data exchange used in ISO 13399 as a whole, a description of the other parts of ISO 13399 and a method for transferring cutting tool data
The IOF-s mission is to create a suite of ontologies intended to support digital manufacturing by facilitating cross-system integration both within the factory and across an enterprise, in commerce between suppliers, manufacturers, customers and other trading partners, and throughout the various stages of the product life cycle. The IOF Core Ontology resides at the top of this suite from an architectural perspective and contains terms found in a number of operational areas of manufacturing. These common terms appear, or are anticipated to appear, in two or more of the ontologies of the suite. Additionally, as the architectural approach chosen by the IOF is to base all of its ontologies on a single foundational or top-level ontology - for which the IOF chose the Basic Formal Ontology or BFO - the Core Ontology contains a number of intermediate-level terms that derive from BFO and from which common industry terms are in turn derived. Such intermediate-level terms are most often domain independent - meaning they are found in other industries and domains, such as in the banking, insurance, and healthcare industries, or in the sciences, as in the physics, chemistry and biology domains. The IOF Core Ontology is developed and formalized as an ontology using both first-order logic and version 2 of the Web Ontology Language (OWL). The use of logic ensures that each term is defined in a way that is unambiguous to humans and can be processed by computers. All terms appearing in the ontology are reviewed and curated by a working group and consensus is reached by validating usage in the context of manufacturing domain use cases.
ISO/IEC 15944-4:2015 provides a set of UML class diagrams and conceptual explanations that circumscribe the Open-edi Business Transaction Ontology (OeBTO). It explains the mechanics of a business transaction state machine, the procedural component of an OeBTO, and the (internal) constraint component of OeBTO, its repository for business rules. ISO/IEC 15944-4:2015 addresses collaborations among independent trading partners as defined in ISO/IEC 159441. ISO/IEC 15944-4:2015 applies to both binary collaborations (buyer and seller) and mediated collaborations (buyer, seller, third-party). The ontological features described herein propose standards only for the Business Operational View (BOV), that is, the business aspects of business transactions as they are defined in ISO/IEC 159441.
Defines a formal logic based concept specialisation approach to support the development of manufacturing reference models that can underpin the necessary business specific knowledge models that are needed to support the configuration of global production networks.
ISO 10303 provides a representation of product information along with the necessary mechanisms and definitions to enable product data to be exchanged. The exchange is among different computer systems and environments associated with the complete product lifecycle, including product design, manufacture, use, maintenance, and final disposition of the product. This document defines the basic principles of product information representation and exchange used in ISO 10303. It specifies the characteristics of the various series of parts of ISO 10303 and the relationships among them.
This standard extends IEEE 1872-2015 Standard for Ontologies for Robotics and Automation to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR). This standard is general and can be used in many ways - for example, to specify the domain knowledge needed to unambiguously describe the design patterns of AuR systems, to represent AuR system architectures in a unified way, or as a guideline to build autonomous systems consisting of robots operating in various environments.
This DTDL ontology is implemented based on the domain ontology RealEstateCore. RealEstateCore is a common language used to model and control buildings, simplifying the development of new services. The ontology is rich and complete, while providing simplicity and real-world applicability with proven industry solutions and partnerships. It has seen practical deployments across sizeable real estate portfolios over the past several years, and has gone through several revisions based on real-world feedback and learning. RealEstateCore specifically does not aim to be a new standard, but rather provides a common denominator and bridge with other building industry standards such as Brick Schema, Project Haystack, W3C Building Topology Ontology (W3C BOT), and more. Read more about our ontology alignment with standards. The original RealEstateCore ontology is represented using the W3C Web Ontology Language (OWL) and it can be visualized here. It has been converted into the DTDL syntax used in this repository using our universal OWL2DTDL tool.
This document specifies a taxonomy and an ontology for blockchain and distributed ledger technologies (DLT). The taxonomy includes a taxonomy of concepts, a taxonomy of DLT systems and a taxonomy of application domains, purposes and economy activity sections for use cases. The ontology includes classes and attributes as well as relations between concepts. The audience includes but is not limited to academics, architects, customers, users, tool developers, regulators, auditors and standards development organizations.
This document specifies a taxonomy and an ontology for blockchain and distributed ledger technologies (DLT). The taxonomy includes a taxonomy of concepts, a taxonomy of DLT systems and a taxonomy of application domains, purposes and economy activity sections for use cases. The ontology includes classes and attributes as well as relations between concepts. The audience includes but is not limited to academics, architects, customers, users, tool developers, regulators, auditors and standards development organizations.