CWA 18211:2025 Publication - Reference Architecture for AI Solutions in Process Industry
We are delighted to announce the official publication of CWA 18211:2025 "Reference Architecture for AI solutions' application within process industry - The s-X-AIPI experience" by CEN and CENELEC.
About the CWA
This CEN Workshop Agreement defines a comprehensive reference architecture for implementing AI technologies in process industries. It provides a framework tailored for self-X AI capabilities and autonomic management within industrial environments, specifically addressing the challenges and requirements of process industry digitalization.
Key Features
The document includes:
Comprehensive Reference Architecture: A robust framework supporting the orchestration of AI pipelines for process industry applications
Analysis of Existing Architectures: Detailed examination of relevant reference models including RAMI 4.0, BDVA, FIWARE, IIRA, and others
Domain-Specific Implementation Guides: Guidelines for implementing the architecture across pharmaceutical, asphalt, steel, and aluminum sectors
Implementation Models: Proposed technological implementations based on open-source technologies
Validation Through Use Cases: Practical application examples demonstrating the effectiveness of self-X AI technologies
Significance for s-X-AIPI
This publication represents a major milestone for the s-X-AIPI project, aligning with our mission to develop trustworthy self-X AI technologies for process industries. The reference architecture establishes a standardized framework that supports:
Integration of AI with autonomic management systems
Implementation of self-X capabilities (self-healing, self-optimization, etc.)
Human-in-the-loop feedback mechanisms
Interoperability with existing industrial systems
Availability
The CWA is now publicly available here.
We encourage stakeholders from process industries, technology providers, and research organizations to download the document and explore how this reference architecture can support your AI implementation journey.
Acknowledgments
This achievement was made possible through the collaborative efforts of the s-X-AIPI consortium and workshop participants. We extend our gratitude to all contributors who participated in the development of this CWA.
For more information about implementing this reference architecture in your process industry context, please contact the s-X-AIPI team.
