The use of digital twins in process plant optimisation is gradually becoming more widespread, but this is not the only area in which they offer benefits.
As mines become better connected and their data more integrated, digital twins can be used to simulate and improve every stage of an operation, from drilling and blasting, to digging and then on to the crushers and concentrator.
Different digital twins
According to Wikipedia, digital twins integrate the internet of things, artificial intelligence, machine learning and analytics software with space networks to create live models of digital simulations that update and change as their physical equivalents change.
In practice, this means that a complex computer programme is fed data, both current and historic, to create a 3-D model featuring certain elements of the mine value chain. Mathematical algorithms are then applied in order to simulate and predict the performance of individual processes in response to changes in upstream and downstream variables.
Dr Penny Stewart, principal and managing director of PETRA, explains:
“There are different parts of digital twins, including those that relate to storing the data and making it available, but our product, MAXTA and its subset of applications can generate a digital twin model which is based on machine learning.”
“There are other kinds of digital twin models too; there are digital twins where the underlying engineering model is physics based and there are even empirical models, but MAXTA‘s applications are 100% machine learning-based. Some of that is supervised and some is unsupervised.”
MAXTA digital twin orebody learning gives access to a suite of mine-to-mill and pit-to-port applications along the entire value chain. By fusing 3-D geological and blasting data the application can accurately predict downstream performance including; dig-rates, crusher throughput and downtime as well as plant throughput and carbon emissions.
MAXTADrill&Blast makes optimisation a breeze
Drill and blast engineers can quickly run multiple simulations to evaluate the effect of different drill and blast designs upon dig rate and crusher throughput.
The full MAXTA application suite is platform agnostic and features MAXTAConnect API for automated optimisation of blastmaster polygons.
“The benefit of interoperability is from the user point of view; it fits into their current workflow and minimises the amount of change management required,” says Stewart. “It makes a huge difference in time-to-value”
In drill and blasting, MAXTADrill&Blast uses plant performance data in different geologies to learn the best blast design for each domain.
“The simulation output allows the drill and blast engineer to see the value their designs create by effectively gamifying the trade-off between productivity and cost. This empowers the engineer to receive immediate feedback into the value of their design,” says Stewart.
“We start with downstream process performance and build a model with any data related to those processes. It should be thought of as the downstream processes that have potentially latent value; the model can be used to predict and model that value driver.”
Helping miners extract value
At the CIMConnect 2024 Jordan Herrmann described how PETRA helped a major iron-ore miner to simulate the effect of drill and blast design levers upon the performance of two crushers and also on the dig rate of a hydraulic excavator at one of its mines in Western Australia.
The aim of the project was to optimise the mine’s drill and blast design (load, average distance, type of explosive, density etc.) according to different ore characteristics defined in its Vulcan block model.
PETRA proposed developing a digital twin model for drill and blast simulation using four years of data, within the application suite this is called MAXTADrill&Blast. By tracking ore from the block model to the blend fingers and then using the daily/shift crusher feed schedule, PETRA was able to create a model of the full value chain from the block model to the coarse ore stockpile.
Crusher throughput and dig rate digital twin simulations were based on the development of three models:
- Total tonnes arriving at the coarse ore stockpile;
- Total tonnes produced by the secondary crushers for the processing plant; and
- The dig rate for a Liebherr R 9400 hydraulic excavator.
The data integrated included:
- 25.7GB of data from a Maptek Vulcan block model;
- 8GB of shredder pesometer PI OSISoft tag data; and
- 202MB of load and transport data.
Real results
PETRA provides simulations and optimisations results via the ISO 27001 certified web application MAXTA portal with automated blastmasters optimisation option available via MAXTAConnect API.
The models enabled the mining company to simultaneously simulate the effect of drill and blast designs on crusher throughput and instantaneous dig rate. The designs were directly optimised for each domain, as well as the dig rate and downstream processes without the need to measure fragmentation.
“In addition to running the simulations, we also ran MAXTADrill&Blast mathematical optimisation algorithms over the digital twin models to optimise the burden and spacing, stemming and explosive density and product for different blasting domains,” Stewart explains.
“This is the same process that we use for set point optimisation in the processing plant to maximise recovery.”
The MAXTADrill&Blast (digital twin) user interface displays the drill and blast design levers with the greatest effect on crusher throughput and dig rate, as well as a new page to enable individual blasts designs to be simulated.
An additional feature enables blast design to be optimised for each domain with a blast polygon. The domains are determined using unsupervised machine learning and form the basis for optimised differential blasting. Each domain is individually and simultaneously optimised according to the rock type to inform the optimal performance of downstream processes such as crushing or milling.
“The domaining part is really important,” explains Stewart. “Because rather than blasting the whole shot the same way, you can identify different zones within the blast and optimise the design to create a better result.”
The models are not biased by the relative proportion of each geological domain, so don’t need retraining unless a new geological domain is encountered, or the crusher operation is changed significantly.
“We find most mines retrain about once a year, but in practice, any significant change in geological domain will become self-evident when monthly predicted values deviate significantly from predicted,” Stewart adds.
MAXTA is available now for demonstration, please contact us to arrange a walk through.
