Genesis shows the steps. EON Universal understands the work.
A composable equipment ontology that turns a green crew into the equivalent of multi-year experts recognising machines on sight, composing the correct procedure, and carrying that understanding from the training center into the pit.
Equipment Classes
Subcomponents · Level 2
Of real field interactions
+ ISO 55000 asset hierarchy
In open pits, underground mines, and processing plants, the people who hold thirty years of judgment are retiring and remote, fly-in/fly-out sites make them scarce. The crews replacing them are green, where being wrong is a safety and productivity problem, not an inconvenience.
Industry has poured money into content: bespoke simulators modelled by hand for one specific site, each obsolete the moment the plant or fleet changes. Every new mine is a new modelling effort, and the permutations are effectively infinite. The work is treated as an endless list of sites to memorise.
A worker should be able to walk up to a machine they have never seen and still do the job correctly.
The worker is green. The guidance is not.
Effort plotted against the number of mines you cover.
Enumeration – model every site
Composition – model the vocabulary
You don’t model every mine. You model the equipment every mine is built from.
EON Universal is a facility-agnostic field-intelligence layer for mining and mineral processing. It understands mining equipment at the level of process intelligence – not merely the steps of a procedure – and uses that understanding to make a green crew perform like seasoned hands.
Names every component on sight and links the real machine to its digital twin. The green worker points; the library identifies.
Composes the correct procedure – conditional SOPs that branch on live conditions, with safety gates that stop the line.
When the library is unsure, it stops and hands off to a human. Judgment is never faked; uncertainty is surfaced.
In mining, roughly 50 equipment classes cover the overwhelming majority of frontline work. About 15 of them carry most of the daily value, together the core library accounts for more than 80% of real field interactions.
Built on ISO 14224 taxonomy principles, tailored to the mine’s asset hierarchy under ISO 55000. When EON Universal recognises a component, its output maps straight into the mine’s CMMS / EAM reliability data. It speaks their data language on day one.
Core fleet & plant a crew touches – 80%+ of interactions.
Variants & subtypes – the system is rarely surprised.
Maintainable items: liners, GET, bearings, seals.
A class name is a label. Understanding is a structure. Explore the six layers EON Universal carries for a single class here, the digger that anchors a pit, the hydraulic mining excavator.
The ISO class, common aliases, and the equipment tag pattern used in the field. This is how the system names what it sees.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
A 3D GLB twin plus multi-angle imagery, so the machine can be recognised and rendered from any viewpoint and matched to the real unit in the pit.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
Subcomponents and the boundary of the asset: what is part of it, and where it ends. The cutaway reveals the hydraulic pump and valve bank, slew bearing, swing-drive gears and track final drives.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
What the machine does and its operating envelope a tracked machine that digs and loads rock with a hydraulic boom, stick and bucket, within defined dig-force, reach and cycle limits.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
How it responds to upsets and abnormal conditions. The hydraulic accumulators hold pressure after shutdown; a raised boom stores gravitational energy; it stalls under overload and bleeds on hose failure. This is the layer that makes guidance safe.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
How to operate, inspect, isolate, and fix it – expressed as composable steps rather than a single fixed script.
Recognition keys on layers 1–2.
Guidance composes from layers 3–6.
The difference between a recording and an understanding.
EON Universal does not replace Genesis, EON’s production engine that turns SOPs and ordinary photographs into interactive simulators. Genesis is the on-ramp; Universal is the understanding layer that sits on top. The boundary is exact.
| Genesis - the core engine | EON Universal - intelligence + library |
|---|---|
|
Needs 3D models supplied to it |
Brings the component library and the configurator |
|
Runs sequential SOPs only not conditional |
Authors conditional SOPs that branch on live conditions |
|
Knows what to show, but not why |
Explains why each step matters |
|
Cannot configure different capabilities |
Generalises to mines it has never seen |
|
Does not recognise equipment in real life |
Recognizes equipment on sight – feeds Field IQ + Holodeck |
How it’s built
The pyramid – layer by layer. You cannot skip a level.
The lower layers understand components, not mines which is exactly the bridge to a universal, facility-agnostic solution.
Use everything in the real field – the eventual goal.
Standard procedures applied on the foundation.
Must-know basics – especially safety.
Every component identified and tagged.
An accurate model – the base of everything.
A fixed SOP is a straight line. A conditional SOP is a decision tree with safety gates, isolating a hydraulic mining excavator for lockout (LOTO).
Lock out the drive; apply tag.
Boom & bucket to the ground.
Accumulators · raised boom.
Bleed the hydraulic accumulators, restrain, then loop back and re-check until safe.
Hydraulic & gravitational energy released proceed to work.
Anything abnormal stops the job and hands off to a human for verification gated by EON Verdict.
The “stored energy still present?” branch only exists because EON Universal knows, from the component’s Behavior layer, that a shovel’s hydraulic accumulators hold pressure after shutdown and a raised boom stores gravitational energy. Genesis has no concept of stored energy, so it cannot branch on it. A conditional, safe procedure is something only a system that understands the equipment can author. The capability isn’t bolted on – it falls out of the understanding.
AR-only practice at 1:1 scale, at camp or home, with no physical hardware at all. Repetition becomes free.
LiDAR overlays the digital twin onto the real haul truck or crusher; every part is tappable, guidance anchored to the machine in front of the worker.
LED walls and floor surround the trainee in a generated pit or plant at full scal, a modern, reborn iCube. – premium delivery tier
50 classes × 5 images = 250 production images → reconstructed into 50 GLB twins. The recurring primitives – motors & gearboxes, hydraulic cylinders, wheels & tracks, liners & wear parts are understood once and inherited by every machine that uses them.
Six knowledge layers per object.
4 ortho views + 1 cutaway.
Multiview → GLB mesh.
Drop the GLB into its slot.
The machine turns & speaks.
Models, labels, and runs step-by-step SOPs. Capture flows up the stack.
Adds the library, the configurator, and recognition. It understands the work.
Field recognition, on-the-spot guidance, immersive scenarios. Delivery flows back down.
Usage feeds the shared library; the asset improves with operation rather than depreciating.
Recognize, infer topology, compose – no per-site rebuild required.
A bounded asset on your balance sheet, not a per-site modelling cost that recurs forever.
General-purpose AI models are a commodity that everyone rents. No foundation model can learn how your mine runs, because that knowledge has never left your sites. EON Universal turns that proprietary know-how into a structured, owned, compounding asset – the durable advantage as AI absorbs the commoditised work around it.
Because it understands components rather than memorising mines, the same engine transfers to any operation built from a finite parts vocabulary. Mining shares the composition logic proven first in oil and gas. Learn the parts once; help every site built from them.
ISO 14224 · 50 classes · 350 subcomponents
~40–60 core classes · same method
High-regulation, high-value part taxonomy
Devices & equipment · same composition logic
A single high-value equipment family, a haul-truck or crusher fleet, and a defined set of procedures, proving the recognize–guide–escalate loop on your own assets and data.
Class by class along the bounded vocabulary; delivery expands across phone, tablet-on-the-machine, and the CAVE.
Records align with ISO 14224 principles, so outputs map into existing reliability and maintenance systems from day one.
