BS ISO 23247-2:2021 Automation Systems and Integration: Digital Twin Framework for Manufacturing Reference Architecture

Standard Number: BS ISO 23247-2:2021

Pages: 18

Released: 2021-10-12

ISBN: 978 0 539 05409 5

Status: Standard

Overview

In the rapidly evolving world of manufacturing, staying ahead of the curve is crucial. The BS ISO 23247-2:2021 standard provides a comprehensive framework for the integration of digital twin technology in manufacturing systems. This standard is essential for organizations looking to enhance their automation systems and achieve seamless integration across various manufacturing processes.

What is a Digital Twin?

A digital twin is a virtual representation of a physical object or system across its lifecycle. It uses real-time data and other sources to enable learning, reasoning, and dynamically recalibrating for improved decision making. In the context of manufacturing, digital twins can simulate, predict, and optimize the performance of manufacturing systems, leading to increased efficiency and reduced downtime.

Key Features of BS ISO 23247-2:2021

• Comprehensive Framework: This standard provides a detailed reference architecture for implementing digital twin technology in manufacturing systems.
• Enhanced Integration: Facilitates seamless integration of various automation systems, ensuring that all components work together harmoniously.
• Improved Efficiency: By leveraging digital twin technology, manufacturers can optimize their processes, reduce waste, and increase overall efficiency.
• Future-Proofing: Stay ahead of industry trends and ensure your manufacturing systems are ready for future advancements in technology.

Benefits of Implementing BS ISO 23247-2:2021

Adopting the BS ISO 23247-2:2021 standard offers numerous benefits for manufacturing organizations:

• Increased Productivity: By optimizing manufacturing processes, digital twins can significantly boost productivity.
• Cost Savings: Reduce operational costs by minimizing downtime and improving resource utilization.
• Enhanced Quality: Ensure consistent product quality by monitoring and adjusting processes in real-time.
• Data-Driven Decision Making: Leverage real-time data to make informed decisions and quickly respond to changes in the manufacturing environment.
• Scalability: Easily scale your manufacturing operations as your business grows, without compromising on efficiency or quality.

Who Should Use This Standard?

The BS ISO 23247-2:2021 standard is designed for a wide range of stakeholders in the manufacturing industry, including:

• Manufacturing Engineers: Gain insights into how to implement and optimize digital twin technology in your processes.
• Automation Specialists: Ensure seamless integration of various automation systems within your manufacturing environment.
• Quality Assurance Professionals: Monitor and maintain product quality through real-time data and predictive analytics.
• IT Professionals: Support the implementation and maintenance of digital twin technology within your organization.
• Business Leaders: Make informed strategic decisions based on data-driven insights from digital twin technology.

Conclusion

The BS ISO 23247-2:2021 standard is an invaluable resource for any manufacturing organization looking to stay competitive in today's fast-paced industry. By providing a comprehensive framework for the integration of digital twin technology, this standard helps manufacturers optimize their processes, improve efficiency, and ensure high-quality output. Embrace the future of manufacturing with the BS ISO 23247-2:2021 standard and take your operations to the next level.

BS ISO 23247-2:2021

This standard BS ISO 23247-2:2021 Automation systems and integration. Digital twin framework for manufacturing is classified in these ICS categories:

• 35.240.50 IT applications in industry
• 25.040.40 Industrial process measurement and control

This document provides a reference architecture for the digital twin in manufacturing including;

• reference model from domain and entity point of view;

• functional view specifying functional entities supported by the entity-based reference model.