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Mining Operations Automation

Aerial view of a mining operation

Tetra Tech Digital Systems delivers across the mining value chain, from greenfield and brownfield projects to central operations and site systems.

The mining sector demands proven technical capability, deep industry knowledge, and an uncompromising commitment to safety. We provide SCADA, programmable logic controller (PLC), and motor control center (MCC) upgrades; train load out and stockyard automation; car dumper commissioning; and around-the-clock remote operations support to boost throughput, increase asset availability, and maintain regulatory compliance. Our functional safety capability spans the full scope from hazard identification and safety requirements specification through safety instrumented system (SIS) design, safety integrity level (SIL) verification, and ongoing compliance management, addressing IEC 61508 and IEC 61511 standards across ore processing, port operations, and related infrastructure.

Mining operations are often geographically remote, technically complex, and highly sensitive to unplanned downtime. We integrate mine sites with centralized operations through remote monitoring architectures and real-time asset visibility solutions that provide maintenance and operations teams with actionable system status, alarm, and performance data before issues escalate. For controls, our teams deliver PLC programming and control system integration for conveyors, crushers, stackers, reclaimers, and car dumpers, with operational technology (OT) cybersecurity embedded in the design to support secure communications, segmentation, and system resilience from the outset rather than as a retrofit.

Where operations generate high volumes of process and equipment data, we provide data management and analytics services that structure, govern, and contextualize that data for operational use. This includes building data pipelines, defining data models and governance frameworks, and enabling analytics environments that support performance monitoring, root-cause analysis, predictive maintenance, throughput optimization, and more informed decision-making across operations.

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