AI for Mining Fleet Autonomy Safety Monitoring |…

AI for Mining Fleet Autonomy Safety Monitoring

Enhance safety and policy compliance for autonomous and semi-autonomous mining fleets with AI-driven monitoring and intervention.

Autonomous haulage boosts productivity but requires strong safety oversight. AI fuses perception logs, telemetry, and policies to detect hazards, enforce geo-fences, and guide interventions.

Payload, spacing, and right-of-way adherence.

Exclusion zone alerts around shovels, drills, crushers.

Intervention workflows and remote stop/slow.

live demo · related simulation● LIVE

High-rate telemetry and perception events to edge buffers.

Policy/geo-fence definitions; haul road maps.

Incident/maintenance records for labeling.

Frequently asked questions

What types of reports are available regarding safety, compliance, and performance within mysimulator.uk?

Reports on safety, compliance, and performance.

How can I connect telemetry and perception feeds to mysimulator.uk, and what is the process for defining policies and geo-fences?

Connect telemetry/perception feeds; define policies/geo-fences.

Can I deploy anomaly and risk scoring in a shadow mode, and how should I validate this with safety teams?

Deploy anomaly/risk scoring in shadow mode; validate with safety teams.

How do I enable alerts and controlled interventions within mysimulator.uk, and what is the recommended approach for piloting these features?

Enable alerts and controlled interventions; pilot on a fleet subset.

▶ Try it live

Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Earthquake Wave Propagation Simulation simulation