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Control room operator in a mineral processing concentrator - OT in mining
Operational Technology

What is Operational Technology (OT) in mining?

Operational technology (OT) in mining is the hardware and software — PLCs, DCS, SCADA and APC systems — used to monitor, control and optimise physical processes in real time. This article defines OT, contrasts it with IT, maps its use across the mining value chain, and covers OT security and AI trends

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why your plant is unstable
Brownfield

Why your plant is unstable (and how loop tuning fixes it)

Mineral processing plants often swing between good days and firefighting because of process variability. Poor PID tuning, manual overrides, orebody changes, and instrument drift all erode stability, leading to oscillating mill loads, unstable flotation froth, and volatile KPIs. The fastest, most cost effective way to restore control is targeted loop tuning. By retuning critical circuits and strengthening control strategies, you can turn oscillation into repeatability, improve recovery and grade, and lay the foundation for advanced process control.

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Plant stability healthcheck
Brownfield

Plant Stability Health Check

Is your plant as stable as it should be? Hidden control loop issues can erode recovery and throughput. Take our 7‑question health check to uncover losses and learn quick wins for stability.

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AI in mineral processing
Glossary

Generative vs predictive AI in mineral processing plants

AI in mineral processing is no longer a future concept – it’s happening now. From predictive maintenance to generative reporting and agentic decision-making, this article breaks down what each AI type means for your plant. Whether you’re just starting your digital journey or looking to optimise operations, understanding these tools is key to staying competitive.

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Predictive Analytics in Mining
Digital Solutions & Analytics

How predictive analytics in mining is a game-changer

Predictive analytics is transforming how mines operate. By turning raw data into actionable insights, it enables operators to anticipate equipment failures, optimise production schedules, and reduce downtime. The result? Greater reliability, improved recovery, and smarter decision-making across the value chain. In an industry where every hour counts, predictive analytics isn’t just an advantage – it’s a game-changer.

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