IEC 62714-2:2022

Overview

IEC 62714-2:2022, titled Engineering Data Exchange Format for Use in Industrial Automation Systems Engineering - Automation Markup Language - Part 2: Semantics Libraries, is an international standard developed by the International Electrotechnical Commission (IEC). This standard focuses on defining normative and informative Automation Markup Language (AML) libraries specifically designed to model engineering information in industrial automation. It facilitates seamless data exchange between engineering tools used in plant automation, enhancing interoperability and consistent semantic understanding.

The standard details AML role class libraries, which associate semantic information to AML objects using role classes, and defines attribute types to represent semantics of AML attributes. By linking these semantic elements, the standard empowers users to enrich engineering data with meaningful context without prescribing specific import/export procedures or tool implementations.

Key Topics

• Automation Markup Language (AML) Semantics: IEC 62714-2 introduces role class libraries for representing semantics, enabling engineering data to be clearly defined, categorized, and interpreted across various automation domains.

• Role Classes for Industrial Automation: The standard covers comprehensive role class libraries suited for different manufacturing sectors:

  • Discrete Manufacturing (AutomationMLDMIRoleClassLib)
  • Continuous Manufacturing (AutomationMLCMIRoleClassLib)
  • Batch Manufacturing (AutomationMLBMIRoleClassLib)
  • Control Systems (AutomationMLCSRoleClassLib)

• Semantic Attribute Types: Defines attribute types that attribute semantic meaning to AML attributes, supporting extensible and precise data annotation.

• Extended and User-Defined Libraries: Offers examples of additional user-defined AML libraries to allow customization and incorporation of external semantic information, promoting adaptability to specific industrial needs.

• Inheritance and Library Structure: Explains the organization and inheritance relationships within role class libraries, fostering consistency and reuse of semantic definitions.

Applications

IEC 62714-2:2022 provides foundational semantics for exchanging engineering data in various industrial automation scenarios, including:

• Plant Automation Engineering: Streamlining interoperability between heterogeneous engineering tools, enabling automation engineers to exchange detailed information about equipment, control systems, and production processes effectively.

• Manufacturing Data Exchange: Enhancing the clarity and precision of exchanged data in discrete, continuous, or batch manufacturing environments by applying semantic role classes.

• Control System Integration: Facilitating consistent semantic mapping of control hardware, sensors, actuators, programmable logic controllers (PLCs), and other control devices for integrated automation systems.

• Custom Semantic Extensions: Supporting the creation of user-defined semantic libraries, enabling companies to capture industry-specific or proprietary information alongside standard semantic definitions.

• Digital Twin and Industry 4.0 Initiatives: Serving as a semantic foundation in digitalization efforts by providing machine-readable, semantically rich data structures critical for digital twins, model-based engineering, and smart factory applications.

Related Standards

IEC 62714-2:2022 works in conjunction with other parts of the IEC 62714 series and related automation standards:

• IEC 62714-1: Defines the AML schema and the fundamental architecture for engineering data exchange in plant automation systems.

• IEC 62714-3 and beyond: Address further aspects such as AML exchange procedures and implementation guidelines.

• Industry 4.0 Standards: Complements broader industrial digitalization standards such as OPC UA and AutomationML to enable semantic interoperability.

• IEC 61131: For PLC programming language standards, which often correlate with control equipment semantics defined in IEC 62714-2.

• ISO/IEC Standards in Data Modeling: Aligns with data modeling best practices to maintain consistency in semantic data representation.

Keywords

Industrial automation, engineering data exchange, Automation Markup Language, AML semantics, semantic libraries, role class library, plant automation, engineering tools interoperability, discrete manufacturing, continuous manufacturing, batch manufacturing, control systems, semantic attribute types, IEC 62714-2, IEC standards, digital twin, Industry 4.0, engineering information modeling.