Our Mining AI Technology turns your data into useful insights, and solves a wide range of problems.
Minerals Exploration
Helps discover ore bodies by turning exploration data into prospectivity heat maps.
Features
- Our data science team uses your exploration data to train machine learning models which output prospectivity heatmaps
- Fully utilises existing data:
- geophysics (electromagnetic, magnetic, gravity, and other available geospatial survey data)
- geochemistry (drill core/chip sample assays, elemental thresholds and ratios which define prospectivity)
- Trained models are applied to geophysics data without drilling data
- Prospectivity heatmaps are compatible with all GIS software
Advantages
- Empowers geologists and geochemists to make better decisions
- Removes human bias with AI’s consistent interpretation of all data
- Improves utilisation of existing data for which a large investment has already been made
- Provides targets to guide drilling programs, avoiding pattern drilling
Benefits
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Assists minerals exploration teams to:
- increase the speed and likelihood of finding an ore body
- reduce drilling effort and cost
- Small investment with fast ROI
Process Optimisation
Ensures maximum plant efficiency by recommending the best process control decisions.
Features
- Our data science team create intelligent algorithms to support process control decisions in real-time
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Fully utilises existing data:
- Time-series sensor data (flow rate, composition, PSD, power, etc)
- Laboratory sample data
- Integrates with existing plant systems
- Reads historian database and displays on SCADA user interface
- No additional hardware required
Advantages
- Empowers operators to make better decisions
- Removes human errors by interpreting all data at all times
- Improves processing efficiency, increases metal recovery, and reduces losses
- Prevents processing plant upsets
Benefits
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Optimises process plant operation to:
- maximise production and revenue
- meet quality and tonnage targets
- Small investment with fast ROI
Predictive Maintenance
Prevents unplanned shutdowns by estimating remaining life of critical equipment.
Features
- Our data science team create intelligent algorithms to estimate time-to-failure of critical equipment
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Fully utilises existing data:
- Time-series sensor data (vibration, temperature, power, flow, pressure, etc)
- Textual data (work orders, maintenance logs, etc)
- Integrates with existing plant systems
- Reads historian database and displays on SCADA user interface
- No additional hardware required
Advantages
- Superior to condition monitoring by maintenance staff
- Removes human errors by interpreting all data at all times
- Improves maintenance efficiency
- Facilitates automatic maintenance scheduling
Benefits
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Prevents critical failures and unplanned shutdowns to:
- maximise production and revenue
- reduce maintenance costs
- improve safety
- Small investment with fast ROI – preventing one plant stoppage!
Smart Scheduling
Minimises downtime between cyclic activities by accurately predicting upcoming schedules.
Features
- MAIT’s intelligent algorithm estimates durations of upcoming activities
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Fully utilises existing data:
- Actual durations read via a third party API or entered directly
- Automatic updates to the adaptive AI model
- Integrates with existing plant systems
- Displays future and past activity timetables in a simple user interface
- No additional hardware required
Advantages
- Superior prediction accuracy compared to operator estimates
- Removes human errors by calculating start and end date/time
- Improves shift planning of crews responsible for each task
Benefits
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Prevents lost production due to delays between tasks:
- maximise crew utilisation
- minimise downtime between crews
- improve efficiency of existing resources
- Replaces Excel, paper or whiteboard for shift planning
- Small investment with fast ROI – more tonnes in less time
“ If a mining company invests millions getting data, why wouldn't they invest a fraction more to understand it better with AI? From collecting and analysing survey data for minerals exploration, to installing sensors for process control and critical equipment monitoring, big data comes, and often becomes a white elephant. Staff need not fear replacement, rather embrace empowerment with AI tools which are crafted from existing data, giving accurate predictions, simplifying information, helping them decide what to do next, opening their eyes to see the bigger picture. ” — Andrew Harris, Mining Analytics Consultant
