The ongoing digital transformation in plant engineering presents enormous opportunities—from more efficient planning processes to data-driven operations and maintenance. However, one prerequisite for this is often underestimated: clear, consistent structures. Especially in the process engineering sector, plant identification and document classification form the backbone of any successful digital engineering approach.
Why Structure Matters
Process plants are highly complex throughout their entire lifecycle. Planning, construction, operation, modification, and decommissioning generate large amounts of information: R&I flow diagrams, bills of materials, data sheets, test reports, maintenance records, and 3D models. Without a standardized structure, this information is difficult to locate, hard to link, and virtually unusable in the long term.
However, digital twins, asset management systems, and predictive maintenance only work reliably if data can be clearly identified and is consistently named.
Systematic Asset Identification: KKS and RDSPP
Proven labeling systems ensure precisely this level of clarity:
- Over the decades, KKS (Power Plant Identification System) has established itself as a robust system for the functional and operational structuring of complex facilities. Today, it is widely adapted for use beyond traditional power plants as well.
- RDSPP (Reference Designation System for Power Plants) is an advanced system that is consistently based on international standards and combines functional, product-related, and location-based perspectives.
Both systems make it possible to uniquely identify plant components, equipment, and functions—regardless of whether the plant is viewed from the perspective of process engineering, maintenance, or automation. This multi-perspective approach is a key advantage, particularly in digital engineering.
Organizing the Flood of Documents: DIN 61355
In addition to plant identification, document classification plays an equally important role. DIN 61355 provides a clear framework for this. It defines document types and ensures that documents are named and structured consistently, regardless of the project or the creator.
The benefits are obvious:
- Faster access to information
- Clear assignment of documents to asset objects
- Improved workflow automation
- Higher quality in data exchange between partners
When used in conjunction with KKS or RDSPP, this creates a comprehensive information structure—ranging from individual valves to complete plant documentation.
Added value throughout the entire lifecycle
A structured approach pays off not only during the planning phase. Its benefits are particularly evident during operation: less time spent searching, fewer errors, more efficient maintenance, and a solid foundation for future digitalization initiatives. Retrofit projects and plant takeovers also benefit greatly from well-organized documentation of existing systems.
Conclusion
Whether it’s KKS or RDSPP for plant identification or DIN 61355 for document classification: structure is not an end in itself, but a key success factor in digital engineering. Those who invest in clear, standards-compliant structures today lay the foundation for efficient processes, better data quality, and sustainable digital value creation throughout the entire lifecycle of process plants.
