Catalogue & Specification Development
Catalogue data is the foundation of controlled plant modelling.
Catalogue data is the foundation of controlled plant modelling.
Plant design systems rely on structured component information, project rules and approved specifications. When catalogue data is incomplete or inconsistent, modelling quality, reporting and downstream project deliverables can be affected.
Trainopedia can support catalogue and specification preparation from requirement review through component-data creation, validation, project testing and controlled handover.
Standardized Components
Maintain consistent component definitions, dimensions, attributes and coding.
Controlled Specifications
Build project specifications around approved classes, sizes and material requirements.
Reduced Modelling Errors
Validate component relationships before designers start using the data.
Reusable Project Data
Create structured catalogue content that can support repeatable engineering workflows.
Scope of services
Final scope depends on the software platform, project phase, client standards and available inputs.
Catalogue Creation & Modification
Create new catalogue structures or modify existing component libraries for project requirements.
Piping Component Data
Prepare component dimensions, connection data, attributes and engineering definitions.
Specification Building
Develop or update piping specifications based on approved project classes, ranges and rules.
Branch / Connection Rules
Support branch selection logic and component compatibility requirements where applicable.
Attributes & Metadata
Prepare project attributes, descriptions, coding, naming standards and required metadata fields.
Bulk Data Preparation
Organize large component datasets for controlled upload, migration or structured project population.
Catalogue QA / QC
Review component relationships, required attributes, missing data and project specification consistency.
Deployment & Project Testing
Support controlled testing of catalogue/specification content before formal use in the project environment.
Project execution workflow
Each stage can be adjusted to suit the client's project controls, review cycle and software environment.
Requirement Review
Understand software, client standards, component scope and expected output.
Existing Data Review
Review available catalogue, specifications, source data and gaps.
Data Collection
Compile approved engineering, vendor and component reference information.
Catalogue Development
Create or modify component definitions, dimensions, connections and metadata.
Specification Building
Build approved classes, size ranges, rules and component selections.
Validation & Project Testing
Check completeness and compatibility, then test in the agreed project environment.
QA / QC & Client Review
Internal verification against standards and incorporation of agreed comments.
Deployment / Handover
Issue approved catalogue data, documentation and controlled project support.
What we typically need from the client
- Existing catalogue / specification data, if available
- Project piping classes and material specifications
- Approved vendor / component dimensional data
- Client naming and coding standards
- Required software platform and version
- Size ranges and rating requirements
- Attribute / metadata requirements
- Expected testing and handover format
Exact input requirements depend on the project scope and available site or project information.
Typical project deliverables
- Configured catalogue content
- Project piping specifications
- Component data sheets / mapping files
- Branch / connection rule data
- Attribute and metadata definitions
- Bulk upload / migration files
- Validation and exception reports
- Project test results
Final deliverables are confirmed during scope definition and aligned with the client's documentation standards.