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Aerospace

Every part traceable to a flight hour, years later.

Aerospace runs on evidence: what was designed, what was tested, what flew, and what was done to it afterwards. The evidence has to stay attached to the airframe.

See Digital Twins All of Industrial

Evidence that stays attached to the airframe, from drawing to retirement.

The story

Evidence that stays attached to the airframe, from drawing to retirement.

Where it starts

Test and flight telemetry

Bench, ground and flight measurements against test identifiers. It is the first of 4 workloads running in Aerospace.

The question it raises

Evidence on the asset

Design, test and in-service records resolve from one asset identifier instead of a document management exercise.

Why one question is hard

From Design to Maintenance

Aerospace data moves through 4 stages — Design → Test → Operation → Maintenance. The shapes in play are Time series, JSON / documents, SQL, Objects, Events, and answering one question means reading across all of them.

What PLOMID contributes

Aerospace questions are traceability questions. These are the parts of the layer that answer them.

  • One data layer Rows, documents and time-ordered events live in one system, so a question is asked once instead of once per store.
  • Documents beside rows Fields that keep changing shape stay queryable instead of being exported into a separate document store.
  • One storage contract Every model inherits the same durability and recovery rules instead of one guarantee per system.
The environment

Certification documents, test data, flight telemetry and maintenance records.

Certification packs, test reports and procedures are documents; test stands and flight produce time-ordered measurements at very different rates. PLOMID keeps the documents and the measurements on the same asset record, so an engineering question can be answered without assembling a package by hand.

One environment · many workloads

What runs against aerospace data.

4 workload families over one set of shapes. Choose one to see what it moves and where it lands.

Bench, ground and flight measurements against test identifiers.

  • Planned once against the layer, not once per store
  • Read beside the records it shares a key with
  • Persisted under one storage contract
The data journey

How aerospace data reaches one layer.

Walk the path the data takes, from the environment that produces it to the questions it answers. Select a station, or a shape, to read each step.

Evidence that stays attached to the airframe, from drawing to retirement.

Environment

The airframe

An asset whose life is counted, whose papers must never detach from it.

SQL

Where the data goes to work

Questions the field asks daily.

Each one is a workload over the shapes above, answered from the same layer rather than from a purpose-built copy.

Evidence on the asset

Design, test and in-service records resolve from one asset identifier instead of a document management exercise.

  • Objects
  • JSON / documents

Test traceability

Measurement series stay tied to the test identifier and its configuration, so a result is reproducible.

  • Time series
  • SQL

Life-counter honesty

Counters are records and usage is telemetry, read from the same layer rather than reconciled between them.

  • Time series
  • Events

Maintenance documentation

Work records and inspection documents stay queryable beside the asset they describe.

  • SQL
  • JSON / documents
Data models in play

The shapes, in one layer.

5 shapes carry this domain. Choose a stage to read the operation, or a shape to see every stage that handles it.

PLOMID · Aerospace design · test · operation · maintenance Select a stage
Stage

Design

Drawing, change and requirement documents

Objects · JSON / documents

Workload map Aerospace workload map. Every shape on it is a surface of the layer, and each stage names the part of the operation it carries.
  • Time series Measurements and events in time order
  • JSON / documents Documents and nested objects
  • SQL Records, keys and joins
  • Objects Large assets with queryable metadata
  • Events Operational events as they happen
Workload architecture

Which workload touches which model.

The work, the shapes it names and the path a request takes — from the field to the control room.

Aerospace · workload architecture
Workloads

What runs against this data.

  • Test and flight telemetry
  • Certification and design documents
  • Asset and lifecycle records
  • Maintenance records
Data models

The shapes those workloads read and write.

  • Time series
  • JSON / documents
  • SQL
  • Objects
  • Events
The layer

One path from a request to the data it names.

  • Planning Predicates narrow the work before it runs
  • Execution Records, fields and windows answered together
  • Transactions Readers and writers do not block each other
Surfaces

How the work reaches the layer.

  • SQL surface The query language the layer is documented in
  • Applications Services and jobs writing and reading as they run
  • Analytics & AI clients The same layer, the same access path
Deployment & residency

Where this data is allowed to run.

Test stands and line stations need local reads, while the design and certification record stays central.

Deployment, residency and control
What you build next

Digital Twins

An asset model that is read from operational data instead of synchronised with it.

If Evidence on the asset is your question, start here.

See Digital Twins Every solution
Next

Where to go next

Solutions The workload answers this industry leans on, with their models and status. Platform The data models in the product today, and the ones extending the layer. Architecture How a request is planned, executed and persisted once it reaches the layer.