Reliability intelligence for mine-site equipment.
ISO 14224 taxonomy. Reliability scoring. EAM-ready in minutes.
Mine operators running RCM programmes, EAM migrations, or CSRD Scope 1 reporting all start from the same problem: an asset register that was never built for analysis. Struktive normalises the asset layer — classifying every record to ISO 14224, scoring data quality, resolving vendor names, and parsing functional locations — so your reliability team starts with clean data, not a remediation project.
Asset registers built for procurement, not reliability.
- ✗Manufacturer names in 12 different formats — "CAT", "Caterpillar", "Cat Inc.", "CATERPILLAR INC"
- ✗Location strings like "Pit 3 / near crusher" — unstructured, unparseable
- ✗No equipment class — impossible to build ISO 14224 hierarchy or RCM structure
- ✗Serial numbers missing on 40–60% of records in typical mine-site registers
- ✗EAM migration stalls at data quality gate — weeks of manual remediation
A reliability-ready asset register in minutes.
- ✓Every manufacturer resolved to canonical form — one vendor, one name, everywhere
- ✓Location strings parsed to Mine Site → Area → Circuit → Equipment hierarchy
- ✓ISO 14224 Equipment Class, Type, and Sub-type assigned to every record
- ✓Per-asset reliability score (0–100) with field-level gap analysis
- ✓EAM-format export (Maximo, SAP PM, Hexagon, Infor) — import on first attempt
Six equipment classes. Every asset classified.
Struktive's classification engine maps every asset to the ISO 14224 Annex A taxonomy — the international standard for reliability and maintenance data collection in the petroleum, petrochemical, and natural gas industries, adopted across mining for RCM and EAM programmes.
Per-asset quality score. Actionable, not decorative.
Every record receives a 0–100 reliability score based on field completeness, ISO 14224 taxonomy alignment, vendor resolution confidence, and location parsability. The score drives prioritisation — not just a number, but a remediation queue.
Missing serial, manufacturer, or functional location. Unfit for RCM programme.
→ Flag for immediate data remediation
Partial data. Functional location present but model or install date missing.
→ Enrich before EAM migration
Core fields complete. Minor gaps in optional fields.
→ Suitable for EAM import with notes
All mandatory and recommended fields populated. RCM-ready.
→ Import directly — no remediation required
Six layers of intelligence. One upload.
Per-asset quality score (0–100) based on field completeness, ISO 14224 taxonomy alignment, and data consistency. Colour-coded red / amber / green.
Every asset classified to Equipment Class, Equipment Type, and Sub-type using ISO 14224 Annex A taxonomy. Enables RCM programme setup and CMMS hierarchy build.
Manufacturer names resolved to canonical forms (e.g. 'CAT' → 'Caterpillar Inc.', 'Komatsu Ltd.' variants unified). 2,400+ mining vendor alias library.
Free-text location strings parsed to Mine Site → Area → Circuit → Equipment hierarchy. Supports slash, dash, and tag-format inputs.
Vendor and model concentration by equipment class. Identifies single-vendor dependency risk and flags equipment classes with no spare coverage.
Fleet classification by equipment category and fuel type — diesel, electric, LNG, hydrogen. Required input for Scope 1 emissions calculations under CSRD.
Built for the people who own the data.
EAM-native exports. Import on the first attempt.
Asset hierarchy with functional location codes, ISO 14224 classification, and reliability score field.
Equipment master with functional location, manufacturer, model, and ISO class fields pre-mapped.
Asset register with classification codes and location hierarchy for direct import.
Normalised register with Infor-compatible field names and category codes.
Full normalised output with all intelligence fields — reliability score, ISO 14224 class, vendor canonical, parsed location.