Solution / Oil & Gas

Fleet & Heavy Equipment Intelligence

Telematics, fuel, driver safety and utilization analytics for remote oilfield and logistics fleets.

Business context

What this capability solves

Fleet & Heavy Equipment Intelligence addresses fragmented operational data, delayed decisions and manual intervention by converting field, equipment and enterprise-system signals into governed, measurable operating workflows.

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.

Tracking

Vehicle/heavy equipment location and status.

Fuel

Consumption, fill/drain anomalies and efficiency.

Driving

Speed, braking, acceleration and configured risk indicators.

Video

Driver state and road-facing event analytics.

Utilization

Working/idle time and equipment productivity.

Dispatch

Incident response, route and task coordination.

Reference architecture

How the capability fits together

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

Physical / OT Layer

Machines, sensors, PLC/SCADA, cameras, vehicles, field devices and operational assets.

Connectivity & Edge

Industrial protocols, gateways, private wireless/wired networks, edge processing and secure data transport.

Digital Platform

Normalized asset model, digital twin, event/incident logic, analytics, AI and business rules.

Operations & Enterprise

Dashboards, mobile workflows, command center, ERP/MES/WMS/CMMS/ITSM integration and management reporting.

Controls & governance

OT/IT segmentation and least-privilege integration
Asset ownership and data-quality controls
Safety and human override for operational actions
Audit trail for alerts, recommendations and operator decisions
Resilient/offline behavior for critical operations
Cybersecurity and change control for edge/OT components

Priority use cases

Field transport
Heavy equipment
Oil logistics
Remote workforce transport

Key deliverables

Current-state process and data assessment
Reference architecture and integration map
Configured pilot/use-case design
Operational dashboards and alert logic
SOP, escalation and RACI
Acceptance/KPI baseline and scale roadmap

Integration considerations

Telematics
CAN
Cameras
Fleet system
Dispatch
ERP

Implementation

Phased delivery

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

1. DiscoverMap assets, process, data, pain points and existing systems.

2. ConnectIntegrate selected telemetry, applications and edge/network components.

3. OptimizeConfigure digital twin, analytics, AI, incidents and operator workflows.

4. ScaleExpand sites/assets, automate integration and institutionalize KPIs.

Outcome and KPI framework

Accident eventsFuel intensityUtilizationRoute compliance