The problem
A practical problem to solve
Engineers repeated several steps to catalogue engine-data files, check their context, convert them for analysis and review results. The workflow needed clearer validation and a shared operational view.
Engineering software · data validation
Professional project · engineering application
A self-initiated application that brings recurring engine-data cataloguing, review, validation and conversion workflows into one operator-facing dashboard.
The problem
Engineers repeated several steps to catalogue engine-data files, check their context, convert them for analysis and review results. The workflow needed clearer validation and a shared operational view.
Design constraints
Key features
Organise source files and relate them to flight and engine context.
Review source data and proposed actions before conversion or adoption.
Produce TDMS outputs with manifests, job status and activity history.
Provide per-flight review views and guided help for engineering colleagues.
Solution
The dashboard connects source cataloguing and validation with conversion, adoption of existing outputs, per-flight review and job tracking. Preview and confirmation steps make operator decisions visible. Controlled re-export and replacement behavior is limited to supported workflows; safeguards are not identical for every aircraft or source profile.
Conceptual workflow: engine-data sources pass through cataloguing, validation and operator review before supported conversion to analysis-ready outputs.
Workflow
Scan configured source locations and build a view of available engine-data files.
Relate files to flight context, inspect data quality and surface issues for review.
Show proposed conversion or adoption actions before writing outputs.
Create supported TDMS outputs or register an existing output with traceable context.
Use flight-level views, manifests and activity history to inspect the resulting workflow.
Technologies used
Results / impact
My contribution
Lessons learned
A preview step gives operators a clear decision before data is written.
Traceability links derived outputs back to source files and review actions.
A replacement workflow should expose exactly which profiles have adequate safeguards.