⛏️ Mining 4.0 · Mining 4.0
InSAR, Drone and Sensor Anomalies to SAP PM Work Orders in 5 Minutes for Mining Operations
The Autonomous Nervous System for Mining
InSAR anomalies to SAP work orders in 5 minutes. Before the next shift starts.
Solution design · numbers modeled on the operation described
A 45-minute-to-hours window between anomaly detection and operational response was creating uncontrolled risk across mining assets. Engineers were manually correlating satellite data, drone footage, and IoT sensors — while the ground was still moving.
// the problem
Mining operations generate enormous volumes of sensor data — InSAR satellite readings, drone footage, IoT vibration sensors, GPS trackers, BMS battery systems — but each feed operates in isolation. Geotechnical engineers manually correlate data across systems to detect risk. By the time someone processes the data and creates a SAP work order, the 45-minute-to-hours window has already exposed the operation to uncontrolled risk. Critical alerts get buried in shift handover chaos. There is no unified brain connecting detection to action.
// what CLU does
CLU deploys a multi-agent nervous system that continuously ingests all sensor feeds in parallel, correlates signals across sources, scores geotechnical risk in real time, and autonomously creates SAP work orders for high-risk anomalies — in under 5 minutes. Critical events trigger immediate WhatsApp alerts to the operations team with full context. Human specialists are looped in automatically for complex geological decisions.
// the agents, in order
- 1Sensor Fusion AgentIngests all data feeds in parallel — InSAR satellite, drone footage, IoT vibration sensors, GPS, BMS — normalizes and timestamps every reading continuously
- 2Correlation EngineCross-references signals across all sources in real time — same anomaly detected in InSAR and IoT sensors = one unified risk event, not two separate alerts
- 3Geotechnical Risk AgentScores each event using domain rules — displacement velocity, vibration thresholds, historical failure patterns — updates risk level continuously as new data arrives
- 4SAP ExecutorCreates PM work orders autonomously for events above risk threshold; schedules lower-risk items for next review cycle — zero manual entry
- 5Alert & Escalation AgentSends structured WhatsApp alert to operations team with full context for high-risk events; escalates to geotechnical specialist for complex geological decisions
// systems it talks to
- InSAR API
- Drone Feed
- IoT / Vibration Sensors
- GPS Tracker
- BMS API
- SAP PM API
// the economics
Uncontrolled risk window eliminated · Shift handover chaos removed · Every anomaly tracked with immutable audit trail
// CLU · the agent factory
Is your operation like this one?
Describe it in your own words on the home page. CLU draws your process as an operation map, with the agents, the systems and an estimate for your volume.