Solution / Mining & Metallurgy

Tire Wear & Failure Analytics

Predict and optimize haul-truck tire life using operating conditions, routes, load and driver behavior.

Business context

What this capability solves

Tire Wear & Failure Analytics converts fragmented operational signals into an accountable digital workflow so teams can detect risk earlier, optimize resources and improve safety or productivity without losing human operational control.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Tire Registry

Track tire identity, position, installation and history.

Operating Context

Load, route, speed, temperature and surface conditions.

Wear Forecast

Estimate remaining life and failure probability.

Cost Analytics

Cost per hour/km/tonne and premature failure.

Rotation Advice

Recommend position/rotation based on wear.

Selection Insight

Compare tire type/performance by operating context.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Field / Asset Layer

Vehicles, equipment, sensors, cameras, tags, infrastructure and operational systems.

Connectivity & Edge

GNSS, industrial wireless/wired networks, gateways and local processing.

Analytics Platform

Telemetry normalization, event fusion, AI/computer vision, scoring and rules.

Operations Layer

Dispatch, command center, workflow, alerts, enterprise integration and management reporting.

Controls & governance

Authorized and purpose-bound data collection
Safety-first operational boundaries and human override
Role-based access and asset ownership
Data-quality and calibration controls
Event/audit history and investigation evidence
Cybersecurity for devices, edge and enterprise integration

Priority use cases

Large haul trucks
Multi-brand tire fleet
Remote mine cost optimization
Failure prevention

Key deliverables

Operational/process assessment
Reference architecture
Pilot design/configuration
Integration and data map
SOP / escalation model
KPI baseline and scale roadmap

Integration considerations

Fleet telemetry
Maintenance
Tire inspections
Dispatch
Road/route data
BI

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. BaselineMap assets, routes/process, data, risk and current KPIs.

2. InstrumentConnect selected devices/data and validate data quality.

3. OperationalizeConfigure analytics, alerts, workflows and dashboards.

4. ScaleExpand fleet/site coverage, tune models and institutionalize performance management.

Outcome and KPI framework

Tire lifeEmergency failureCost per operating hourForecast accuracy