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Capturing a Goldbar‘s production chain

Phase two consists of aligning the measured data and recreating a virtual production chain for feasibility checks and fully automated correlation. This, among other steps, involves the following:

Checkpoint 1: Creating virtual profiles for measured data

The first step is to create unique profiles, based on 8-15 pieces of information, up to 10 of which from measured XRF data in block 1. These are visualized as „spyder“ and other comprehensive graphs for every production step.

Checkpoint 2: Digitally reconstructing every step

Overlaying the digital profiles allow traceability of the entire processing chain. Every ore that now arrives at the refinery has a digital twin, captured in numbers. This is the piece of information that in today‘s more and more transparent gold trading is yet missing.

Checkpoint 3: Performing feasibility tests

We can now start to evaluate the captured digital twins based on how constant the material composition is throughout the process. When was material added? Where was it removed? Was it the documented amount?

Checkpoint 4: Creating framework for future data

Having a base reference for one complete processing chain, we can now implement an automated framework, where new data can continuously and real-time be added into the system.

Checkpoint 5: Automatically check an match new data

Every new piece of information coming into the system from this point will be matched to the database and will be passively checked. If the material deviates from the measured material (e.g. is below or above the 5% quantile of the distribution) it will show an alert.


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