ISO 23247-2 provides a structured framework for integrating digital twins into manufacturing processes. It focuses on creating virtual models that mirror physical systems, enabling real-time monitoring, predictive maintenance, and enhanced data exchange. The framework is built around four key domains:
- Observable Manufacturing: Tracks physical assets and processes.
- Device Communication: Manages data collection and sharing.
- Digital Twin: Develops virtual replicas of manufacturing systems.
- User: Oversees user interactions and interfaces.
Key features include standardized protocols for interoperability, secure data exchange, and integration with existing standards like MTConnect and IEC 62264-2. This allows manufacturers to align digital and physical systems seamlessly, improving efficiency and reducing downtime.
Quick Overview:
- Purpose: Streamline manufacturing with digital twins.
- Core Entities: Physical systems, data communication, virtual models, and user interfaces.
- Applications: Real-time monitoring, predictive maintenance, and process optimization.
This standard simplifies digital twin adoption while ensuring compatibility with existing systems, making it a critical tool for modern manufacturing.
Maximising Efficiency with AI Digital Twins: Understanding the Frameworks and Lifecycle
Structure of ISO 23247-2
ISO 23247-2 outlines a framework for using digital twins effectively in manufacturing.
Entity-Based Model
This model defines how the four key components - OME, DCE, DTE, and UE - work together to create digital twins [2]:
| Entity Type | Primary Function | Key Responsibilities |
|---|---|---|
| Observable Manufacturing Elements (OME) | Physical Systems | Represents manufacturing assets and processes |
| Device Communication Entity (DCE) | Data Collection | Manages state changes and control programs |
| Digital Twin Entity (DTE) | Virtual Modeling | Develops and maintains digital replicas |
| User Entity (UE) | Interface Management | Oversees user interactions and applications |
These entities ensure smooth data flow and accurate digital representations of manufacturing processes. The model emphasizes collaboration through standardized interfaces and protocols [2][3].
Functional Components
The framework is supported by functional components that enable core digital twin operations:
- Operation and Management Components: These focus on real-time monitoring, control, and ensuring the synchronization between physical and digital elements [3].
- Application and Service Components: This layer offers tools for analysis, simulation, predictive maintenance, and resource management.
- Resource Access and Interchange: Ensures data consistency, secure exchanges, efficient resource use, and real-time updates.
ISO 23247-2 leverages existing standards to integrate with current manufacturing systems. This structured approach simplifies the adoption of digital twins while improving efficiency through real-time data and predictive tools. Together, these components make it easier for organizations to implement digital twins without overhauling their existing setups.
Implementing ISO 23247-2
Implementing ISO 23247-2 involves a structured approach that integrates with current manufacturing standards, ensuring smooth communication between systems.
Using Related Standards
ISO 23247-2 works alongside other standards to build a reliable digital twin framework. Standards like ISO 10303, ISO 15926, MTConnect, and IEC 62264-2 provide essential data models and protocols that align with its goals for system compatibility and data exchange [2]. These standards help represent Observable Manufacturing Elements (OMEs) and enable efficient communication between manufacturing systems [1].
However, full system compatibility goes beyond these standards, requiring specific protocols and thoughtful system design.
Achieving Interoperability
Interoperability is a key focus of ISO 23247-2, ensuring smooth data flow between various components. The framework achieves this through three main elements:
- Standardized protocols: These allow secure, real-time synchronization between physical and digital systems [2].
- Scalable architecture: Supports seamless data sharing, monitoring, and integration with third-party tools [3].
- Security measures: Features like encryption and access controls safeguard digital twin systems while meeting compliance requirements.
Platforms such as Anvil Labs show how ISO 23247-2 can be applied in real-world scenarios. They integrate different data types, ensure secure data sharing, and maintain compatibility across devices. These principles create a foundation for using ISO 23247-2 in various manufacturing settings.
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Applications of ISO 23247-2
ISO 23247-2 plays a crucial role in manufacturing, offering practical applications across various industries.
Examples from ISO 23247-4
ISO 23247-4 outlines how standards like MTConnect and IEC 62264-2 enable practical use cases, such as robotic cell control and aircraft manufacturing [2]. Here are some examples:
| Application Area | Primary Standard | Key Functionality |
|---|---|---|
| Robot Cell Control | MTConnect | Real-time monitoring |
| Aircraft Skin Layer Analysis | IEC 62264-2 | Quality control |
| Gearbox Machining | MTConnect | Predictive maintenance |
These examples highlight how ISO 23247-2 integrates seamlessly into different manufacturing processes. Let’s dive into a specific use case to see its benefits in action.
Case Study: Digital Twin Use
ISO 23247-2 supports machine health monitoring by analyzing data like spindle speeds, temperature, and energy use to predict maintenance needs [3]. Using MTConnect for standardized data collection and smart sensors for real-time tracking, this approach reduces downtime and boosts efficiency.
Anvil Labs provides a great example of how ISO 23247-2 principles are applied in industrial environments to enhance operational outcomes.
Anvil Labs and Digital Twin Tools
Anvil Labs showcases the potential of ISO 23247-2 by focusing on interoperability and secure data exchange in their industrial management platform. Their tools enable digital twin implementation by efficiently handling diverse data and providing advanced analysis capabilities. Key features include:
- Data versatility: Supports 3D models, LiDAR, and thermal data.
- Powerful analysis tools: Offers industrial spatial analysis.
Integration with services like Matterport and AI-based tools further demonstrates how the standard can be applied in modern industrial settings, ensuring seamless data processing and secure sharing.
Conclusion and Future Trends
Overview of ISO 23247-2
ISO 23247-2 lays out a clear framework for integrating digital twins into manufacturing processes. Its layered approach covers key aspects like general principles, reference architecture, digital representation, and information exchange. This structure helps manufacturers adopt digital transformation effectively [2][3].
By enabling real-time monitoring, predictive maintenance, and efficient data integration, ISO 23247-2 supports smarter manufacturing practices. As technology evolves, this standard is well-positioned to adapt and influence the future of digital manufacturing.
What Lies Ahead for Digital Twin Standards
The landscape of digital twin standards is continuously evolving. ISO 23247-2 is adapting to keep pace with advancements in manufacturing and digital technologies.
With its focus on interoperability and data exchange, the standard is expected to integrate developments in AI and IoT. These technologies bring enhanced predictive capabilities, making digital twins even more powerful for analyzing manufacturing processes [2][3].
Manufacturers are increasingly looking for digital twin solutions that:
- Allow seamless data exchange across platforms
- Synchronize in real time with physical assets
- Ensure secure sharing of supply chain information
Future updates to ISO 23247-2 are likely to include new protocols and standards to address these needs and incorporate the latest technological advancements [3][4].
FAQs
What is the ISO for digital twin standards?
The ISO 23247 series outlines the framework for digital twin systems in manufacturing. It includes four parts: principles (Part 1), architecture (Part 2), information attributes (Part 3), and data exchange requirements (Part 4) [2][5].
This structured approach helps manufacturers adopt digital twins in a way that ensures different systems can work together seamlessly. Among these, ISO 23247-2 focuses specifically on the architecture required for implementing digital twins.
What is a digital twin ISO?
ISO 23247-2 defines a framework for creating digital twins that replicate physical manufacturing systems with precision [2][5]. It enables real-time monitoring, predictive maintenance, process adjustments, Big Data analysis, and efficient information sharing between entities [2][5].
These capabilities allow manufacturers to integrate digital twins into their workflows, aligning with the objectives set by ISO 23247-2.
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