π Standardizing OPC UA Models for Complex Manufacturing: Lessons from Battery Cell Production ⚡π
In today’s era of digital transformation, manufacturing industries are under constant pressure to improve interoperability π, data transparency π, and process optimization ⚙️. This becomes even more challenging in domains with heterogeneous and complex process chains, where machines, processes, and data systems must speak the same language.
π The Challenge of Seamless Data Exchange
To enable smooth data sharing across different systems, manufacturers must standardize both data syntax and semantics π—all while ensuring compatibility with existing industry standards π. Without this, digitalization efforts can become fragmented and costly.
π‘ Our Methodology for OPC UA Model Development
Our research presents a methodology for designing standardizable and reusable OPC UA information models tailored for industries with high process variability and interdisciplinary demands π§©. The approach integrates:
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System Analysis π – Understanding the full production ecosystem.
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Parameter Mapping π – Identifying how different data points connect.
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Modular Submodel Development π§± – Creating reusable building blocks.
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Expert Validation π¨π¬ – Ensuring accuracy and practicality.
We also emphasize the reuse and extension of existing OPC UA Companion Specifications to reduce complexity, avoid redundancy, and support long-term standardization π.
π Case Study: Battery Cell Production
Battery manufacturing combines process engineering π§ͺ with mechanical engineering π§ and involves both continuous and discrete processes.
However, it faces unique challenges:
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π« No existing domain-specific standards.
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π High degree of heterogeneity.
By applying our methodology, we developed a layered OPC UA framework that merges cross-industry standards with process-aware elements. This framework was refined through iterative expert workshops π£️ and structured model validation ✅.
π Real-World Benefits & Use Cases
The resulting model enables:
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Traceability π – Tracking every step in production.
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Regulatory Reporting π – Supporting initiatives like the EU Battery Passport πͺπΊ.
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Process Optimization ⚡ – Enhancing efficiency and reducing waste.
π A Scalable Blueprint for the Future
This approach offers a scalable and transferable solution for other manufacturing domains facing similar complexity. By combining broad applicability with domain-specific depth, it sets a new standard for interoperable, transparent, and future-ready manufacturing systems π.
Scientific World Research Awardsπ
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