ISO 3151-2:2025

Overview

ISO 3151-2:2025 defines a standardized data model and visualization elements for 3D error feedback when exchanging information between product lifecycle management (PLM) and manufacturing execution systems (MES) in engineering plant and heavy industry sectors. This international standard addresses the challenge of efficiently communicating complex 3D production errors between design and manufacturing teams for long-lifespan, highly customized products. By standardizing 3D data exchange and visualization elements, ISO 3151-2:2025 supports enhanced collaboration, reduces errors, and improves overall product quality in industries like shipbuilding, plant engineering, and heavy manufacturing.

Key Topics

• 3D Error Feedback: Specifies visualization elements for 3D data exchange to communicate error feedback between PLM and MES.
• Data Model Properties: Defines the properties required for effective error information feedback via 3D models.
• Complex, Long-Lifespan Products: Focuses on products and systems typical of heavy industry, such as power plants, ships, and industrial plants, with millions of parts and decades-long service lives.
• Data Exchange Workflow: Standardizes the feedback process between engineering (design) and production departments, supporting iterative design and error correction.
• Levels of Detail (LoD): Addresses varying degrees of 3D model detail, from basic symbolic models up to detailed, vendor-specific CAD files, to suit different project stages and stakeholders.
• Port & Connection Data: Ensures key interface points for assembly and installation are consistently communicated.
• 3D Notes and Markup: Incorporates annotations and marked-up drawings within 3D visualization for richer feedback.
• Standardized Entity Mapping: Aligns and maps relevant data entities between PLM and MES as defined in related international standards.

Applications

ISO 3151-2:2025 is practically valuable for:

• Heavy Engineering Plants: Facilitating clear communication of 3D production errors for sectors such as power generation, shipbuilding, and large-scale industrial manufacturing.
• Product Lifecycle Management: Enhancing traceability and quality management through standardized feedback loops involving 3D product data.
• Concurrent Engineering: Supporting close collaboration between design and production, especially in custom, made-to-order projects where design and manufacturing overlap.
• Digital Transformation Initiatives: Enabling digital twins and integrated product data environments by providing a foundation for interoperability between PLM and MES systems.
• Reduction of Manual Processes: Moving from 2D mark-ups on paper to digital 3D feedback, thus increasing efficiency and reducing errors and delays associated with manual data exchange.
• Smart Manufacturing: Addressing needs in both heavy industry and mass customization sectors, supporting the trend towards more individualized production requirements.

Related Standards

ISO 3151-2:2025 builds on and relates to several key international standards, including:

• ISO 10303-239 (PLCS): Provides the foundational information model for product lifecycle support in PLM environments.
• IEC 62264 Series: Standardizes the MES information model and its interface with enterprise resource planning (ERP) systems, ensuring data consistency and interoperability across manufacturing operations.
• ISO/TR 3151-1: Offers the general overview and scope of PLM-MES interface visualization elements.
• ISO/IEC 20924: Establishes terminology for digital twins and IoT, relevant to advanced industrial contexts.
• ISO 10303 Series: Supplies reusable visualization schemas for 3D data, facilitating standardized interoperability.
• Other referenced standards include those for equipment modeling, point clouds, and 3D annotation, ensuring that ISO 3151-2 aligns with international best practices for industrial data exchange.

By implementing ISO 3151-2:2025, organizations in heavy industry can optimize their product information handover, minimize miscommunication, and advance toward a fully integrated digital manufacturing ecosystem.