Scenario

AVEVA PI System (formerly OSIsoft PI System) is the dominant operations data management platform in heavy industry, deployed across 14,000+ sites in 127 countries. In mining, PI System serves as the system of record for all operational data — ingesting time-series data from process control systems, remote sensors, IIoT devices, and SCADA systems via hundreds of native connectivity options. Core components include PI Server (data archive and asset framework), PI Vision (browser-based visualisation dashboards), PI DataLink (Excel integration for ad-hoc analysis), Asset Analytics (streaming calculations), and Event Frames (contextual event capture for batch operations and shift reporting).

AVEVA Predictive Analytics uses machine learning to continuously monitor critical mining assets — crushers, mills, conveyors, pumps, and rotating equipment — learning normal operating patterns from PI System data and flagging anomalous behaviour before it results in unplanned downtime. The system builds digital profiles of healthy equipment operation and alerts maintenance teams when actual performance deviates from expected behaviour, providing lead time for planned intervention.

AVEVA Unified Operations Center (UOC) provides a comprehensive visualisation and situational awareness platform that integrates data from SCADA, PI System, ERP, and other business applications into a single enterprise-wide view. For mining, this means real-time visibility across extraction, processing, transport, and logistics — enabling collaborative decision-making and rapid response to operational events.

BeltMetrics Gen 2 provides continuous, non-contact particle size analysis on conveyor belts using stereo imaging and deep learning. It optimises crusher feed, detects empty belts indicating blocked chutes, measures transported material volume, and provides load profiling. As a critical mine-to-mill measurement point, BeltMetrics data in MetricsManager Pro closes the loop between blast fragmentation and processing plant feed.