Legacy Drawing Mining for MRO & Spares
The fleet keeps flying for another twenty years. Its drawings are trapped in scans nobody can search.
Aerospace has a paradox at its core: no industry keeps its products in service longer — and no industry demands stricter traceability back to the original design data. Aircraft and engines certified in the 1980s are flying today and will fly in 2040. Every spare part, every repair, every obsolescence fix must trace back to approved design data — and for the older programs, that data is a wall of paper, microfilm and TIFF scans, filed by drawing number, carrying no searchable metadata at all.
The people who can still navigate those archives — who know the old drawing conventions, the superseded material designations, the numbering logic of a program from 1987 — are retiring. What stays behind is the pile: legally indispensable, practically unusable, and standing between you and a growing MRO and spares market.
Drawing mining changes the economics of that pile: AI reads every scan — title block, parts list, materials, key dimensions — classifies it, and turns the archive into a structured, searchable inventory inside Teamcenter. The paperwork that certifies your parts becomes the database that sells them.
// The archive problem, aerospace edition
In aerospace, “scanned” is not “digitized” — and unfindable means unairworthy
Most archives were “digitized” years ago: someone fed the paper and microfilm through a scanner. The result is a folder tree of pixels, organised by drawing number — findable only if you already know the number, readable only by veterans who know the conventions of the era, and invisible to Teamcenter, your ERP and every automated process you run.
In other industries that is expensive. In aerospace it is existential, because the archive is not just reference material — it is the approved design data your airworthiness obligations point at. An operator requests a spare for a 1992 assembly: before anyone machines anything, you must find the right drawing at the right revision, its parts list, its material spec (in a designation that has been superseded twice since), and the chain that proves this is the approved configuration. Until the archive answers those questions quickly, every spares order starts with archaeology — and some never get quoted at all.
Drawing mining attacks exactly the gap between scanned and usable: extract the data locked in the pixels, attach it to each drawing as structured metadata, resolve revision chains — and index everything where your engineers already work.
In — microfilm scan, 1985
Out — structured record in Teamcenter
From microfilm pile to searchable archive: how the mining works
Drawing mining is a batch process with a quality loop — built for audit conditions, not demo conditions. It runs where your data must stay (on-premises or EU cloud, export-control compliant), and it is honest about uncertainty: every extracted field carries a confidence score, and everything below threshold goes to a human review queue instead of silently into your PLM. In an airworthiness context, that review queue is not a workaround — it is the feature.
Take the archive as it is
TIFFs, PDFs, microfilm scans, mixed resolutions, handwritten change notes — the pipeline normalizes what it can and logs what it cannot. No re-scanning campaign as a precondition, no pre-sorting project.
Sort tens of thousands of sheets automatically
Assembly drawing, part drawing, schematic, parts list, process sheet — each sheet is typed and grouped by program and component class, so the archive has a structure before a single field is read.
Read the data locked in the pixels
Title blocks, drawing and program numbers, revisions, materials, parts lists, key dimensions — extracted with a confidence score per field. Era-specific conventions and superseded material designations are learned from your samples and mapped to current norms.
Humans check the doubtful — Teamcenter gets the result
High-confidence records flow into Teamcenter as items with attached source scans and resolved revision chains; low-confidence fields queue for fast human review. The outcome: a searchable, traceable archive inside the PLM your engineers already use.
3D where it pays, not everywhere
For active spares and repair candidates, mined dimensions and parts lists become the starting point for proper NX re-modeling — done for the parts that earn revenue, not the fifty thousand that don't. The source drawing stays linked as the design-data reference.
What a mined archive unlocks
The index is the foundation — on top of it, four businesses that used to run on veteran memory start running on data:
Spares quoting at enquiry speed
"Which drawings define this 1992 assembly, at which revision?" becomes a search, not an expedition. Spares and repair offers go out while the operator's AOG clock is still ticking in your favour — instead of three weeks later, or never.
Re-manufacturing with the chain intact
Extracted parts lists, materials and dimensions feed NX re-modeling and supplier RFQs — with the source drawing linked as approved design data. The airworthiness argument starts from a referenced record, not from a folder hunt.
Obsolescence at a glance
A supplier disappears, a material spec is withdrawn: a metadata query answers which programs, assemblies and delivered units are affected — the analysis that today takes weeks of digging, before the actual engineering even starts.
Inspection & FAI preparation
Mined characteristics, materials and notes give inspection planning and first-article work a structured starting point instead of manual transcription from pixels — and the archive answers follow-up questions in seconds.
When does drawing mining pay off?
The business case scales with fleet age, archive size and audit pressure. You are a candidate if most of these apply:
- You support programs certified decades ago — and spares, repair or MRO is a real or growing revenue line.
- The archive holds tens of thousands of scanned or microfilmed drawings with little or no searchable metadata.
- Spares and repair enquiries regularly wait on days of archive research — or on one specific colleague.
- The engineers who can read the old conventions and superseded material specs are approaching retirement.
- You run Teamcenter (or a comparable PLM) and want the mined archive indexed there — traceably, not in an island tool.
- Your drawings are export-controlled or customer-restricted — on-premises processing is a requirement, not a preference.
What the mining pipeline handles
Built for the messy reality of a decades-old aerospace archive — not for lab-clean sample documents.
Before and after: the same spares enquiry, two archives
An operator requests a repair-or-replace quote for a bracket assembly from a program certified in 1988 — including material and configuration evidence. Here is how that runs against an unmined and a mined archive:
Before — veteran & microfilm
- Find the drawing number via old program lists — ½ day
- Open scans one by one, chase the revision chain — 1–2 days
- Decode the superseded material spec, re-type the parts list — ½ day
- Hope the one colleague who knows the 80s conventions isn't on leave
- Quote goes out in week three — the operator has found another shop
After — mined archive in Teamcenter
- Search by program, assembly or component class — minutes
- Latest revision and linked sheets already resolved — instant
- Materials mapped to current norms, parts list exports to the RFQ — minutes
- Any engineer can run the search — the configuration evidence is linked, not remembered
- Quote goes out the same week — MRO revenue you used to lose
Why inteliScience
Generic OCR vendors can read a clean title block. The hard part of aerospace drawing mining is everything around it: era-specific conventions that changed three times since 1970, superseded material and process specs that must be mapped — not guessed — to current designations, revision and change-note chains across sheets, and above all, landing the result in Teamcenter as proper items with attached source scans, so the traceability your auditors expect is built into the data model.
That last mile is our home ground. We build Teamcenter and NX customizations for manufacturers every day, on Siemens’ supported extension points — so mined drawings become searchable PLM objects, ready for the spares workflows, FAI preparation and targeted NX reconstructions that follow. And the quality loop stays honest: confidence scores per field, human review where the AI is unsure, accuracy measured on your scans in the pilot — not on a vendor’s demo set.
AI does the reading. Your people stay the authority on what is airworthy.
Fixed price — no day rates, no surprises
Drawing Mining Pilot
- 1,000 drawings from one program or product family, mined end-to-end
- Extraction tuned to your era-specific title blocks, conventions and material specs
- Measured accuracy report per field type — your scans, your numbers
- Searchable demo index — Teamcenter integration concept included
- Cost & timeline projection for mining the full archive
6–8 weeks · processed on-prem or EU cloud, export-control compliant · all mined data is yours, whatever you decide afterwards.
For comparison
Manual re-indexing
- Typing metadata for 50,000 drawings by hand — €5+ per sheet, if quality holds
- A multi-year project most companies start once and never finish
- Meanwhile: every spares enquiry still starts with a 2–3 day archive dig
Frequently asked questions
Is AI-extracted data acceptable as airworthiness-relevant information?
Our drawings are export-controlled. Where does processing happen?
The material specs on old drawings don't exist anymore. What happens to those?
Microfilm scans, faded lines, handwritten change notes — realistic?
Do we get 3D models out of this?
Can we start with one program instead of the whole archive?
The fleet will fly another twenty years. Make sure your archive can keep up with it.
Send us 20 sample scans from one program — we'll show you what the extraction gets out of your title blocks, parts lists and material specs.
Talk to a Drawing Mining EngineerAlways here to support you – reach out to us with your questions, and we’ll guide you every step of the way.
+40 774 463 429
+40 774 463 429
Romania
info@inteliscience.net
info@inteliscience.net
