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Mining

Autonomous operations · Architecture

Map the service path for autonomous operations.

Support resilient, latency-aware communications and approved local inference near mining equipment and operational data.

equipment and sensor data → governed edge processing or inference → local operational result → protected fabric connectivity to authorized supervisory or coordination services. Evaluation evidence includes model and Endlet identity, inference timing, data locality, result path, resource use, and policy events.Mining · Edge IntelligenceAutonomous operationsVerified service path and review points01Equipment andsensor data02Governed edgeprocessing orinference03Localoperationalresult04Protected fabricconnectivity toauthorizedEvaluation evidencemodel and Endlet identity · inference timing · data localityEach control point and result is verified against the selected environment.

Primary capability

Edge Intelligence

How it works

Trace the protected service path from admission to evidence.

Support communications and edge processing for autonomous and tele-remote operations while OEM safety and control systems remain authoritative.

01

Establish identity and scope

Identify autonomous or tele-remote equipment, sensors, edge compute, approved models; validate participating Endlets before admission.

02

Build the protected service path

equipment and sensor data → governed edge processing or inference → local operational result → protected fabric connectivity to authorized supervisory or coordination services

03

Capture decision evidence

Review model and Endlet identity, inference timing, data locality, result path, resource use with the responsible teams.

Architecture flow

Trace the protected service path and its control points.

01

equipment and sensor data

02

governed edge processing or inference

03

local operational result

04

protected fabric connectivity to authorized supervisory or coordination services

Inputs

autonomous or tele-remote equipment, sensors, edge compute, approved models, supervisory services, Service Endlets

Path

equipment and sensor data → governed edge processing or inference → local operational result → protected fabric connectivity to authorized supervisory or coordination services

Evidence

model and Endlet identity, inference timing, data locality, result path, resource use, and policy events

Quick answers

Autonomous operations FAQs

Which technical path should the team review?+

equipment and sensor data → governed edge processing or inference → local operational result → protected fabric connectivity to authorized supervisory or coordination services

Which evidence should reviewers collect?+

model and Endlet identity, inference timing, data locality, result path, resource use, and policy events

Who should review the architecture?+

autonomy teams, mine operations, OEM or systems-integrator stakeholders, platform engineering, OT security

Continue the evaluation path

Evaluate autonomous operations with a representative scope.

Determine whether supporting communications and edge inference meet latency, continuity, interoperability, and governance requirements.

Continue to Evaluation