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Robotic Process Operator (RPO) - Operator Digital Twin

MineAlytics offers a comprehensive platform that allows the digital transformation and robotic process automation of mine plants!

Plant operators deal with 2 domains of operations. One is process control, tuning and optimisation, which can be fully automated or augmented by the MineAlytics Plant Operator Digital Twin.

The second domain of operator tasks is the coordination of failure recovery and trouble shooting, which is more intuitive.

The MineAlytics Robotic Process Operator (RPO) uses Reinforcement Learning to learn the optimal recovery sequences used by the most experienced operators. The MineAlytics RPO is able to recreate complex failure scenarios and quickly accumulate vast experience by training in a simulated environment.

MineAlytics Artificial Intelligence
MineAlytics Robotic Process Operator - Operator Digital Twin
Analytical and Robotic Process Automation platform built on top of cutting edge technologies
MineAlytics Autonomous Rock Breaking RPA - Crush & Burn

Autonomous Rock Breaking RPA - Crush & Burn ©

MineAlytics offers a range of mining specific, process optimisation and control algorithms (robots) that utilise the combination of machine learning, dynamic process modeling, stochastic and sequence model based reliability and alarm prediction and deep-learning assisted computer vision.

  • Safest and Fastest way of Rock breaking

    Our cutting-edge, autonomous Rock Breaker RPA detects bridges in ROM bins or crusher bowls using AI assisted Computer Vision at incredible accuracy. It models the environment in 3D and provides a state-of-the-art inverse kinematics control algorithm to guide the rock breaker in position autonomously and start the cleaning process with maximum precision.

MineAlytics RPA for Mining

Interactive Web-based Mine Simulation

An object oriented, web-based environment allows for the accurate simulation of mining processes. Mass flow simulation, control tuning, AI-algorithm training, production prediction and a lot more can all be easily simulated with a comprehensive block library.

The web-based, intuitive UI lets you quickly build your process and run a wide range of pre-defined simulations.

Boundary conditions can be changed to optimise processes.

The MineAlytics Robotic Process Operator (RPO) uses Reinforcement Learning to learn the optimal recovery sequences used by the most experienced operators. The MineAlytics RPO is able to recreate complex failure scenarios and quickly accumulate vast experience by training in a simulated environment.

MineAlytics Artificial Intelligence
MineAlytics Analytics and Simulation Frontend
MineAlytics Rock Breaker - Universal Robot Simulator

Rock Breaker AI Training Environment

MineAlytics offers a range of specific, high fidelity simulation modules to assist with in depth algorithm design and control tuning.

  • Rock Breaker AI Control Tuning Environment

    The Rock Breaker simulator allows for the development, testing and tuning of autonomous rock breaker algorithms with a wide range of available robot arm configurations and web enabled REST APIs.

MineAlytics Autonomous Mining

MineAlytics - DigitalMine©

Analytics Analyse

MineAlytics offers an cloud platform for mining data analytics, where you configure your process, establish the boundary conditions of your mine, upload your data and run extensive analytics on your data. In a matter of hours, you can have a full report of the health of your plant in your hands!

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Implementation Implement

Implementation of the most advanced control algorithms can be done through our secure cloud platform, where you select a MineAlytics Robot (algorithm) you want to implement, connect your control system to the selected MineAlytics Robot API and launch the Robot that will instantly start controlling your processes.

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Monitor/Fine Tune Monitor & Fine Tune

To maximise the benefits of an implemented RPA, you can real-time data analytics and KPI monitoring capabilities through the MineAlytics platform. By using the Plant Configuration tool you can specify measurement streams and assign a wide rang of analytics to these streams.

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The digital workforce behind Minealytics RPA can instantly

  • Boost productivity

    MineAlytics algorithms have specifically been designed for mining application to maximise productivity.

  • Reduce downtime

    Through advanced control and data analytics instant plant availability improvements can be achieved.

  • Reduce OPEX costs

    The implementation of MineAlytics solutions can be the matter of hours. Laborious data collection and plant analytical tasks can be done through our web based platform to kick start bottleneck studies and investigations.

  • Free up resources

    MineAlytics aims to automate some of the most complex aspects of a mining operation. A successful application means that you remain either with excess capacity or increased productivity.

  • Upskill labour

    Through automation, MineAlytics reduces the workload of mine operators so they can focus on higher level tasks. Alarm system performance increase, control loop performance improvement, high level control automation are a few examples, where MineAlytics can be useful.

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