CASE STUDY / SELECTED WORK
// CASE STUDY 03 / 2022

Smart Utilities

A utility intelligence platform connecting field devices, communications, data and operational services to make infrastructure measurable and actionable.

CUBICON DIGITALIOT / DATA / PLATFORM ARCHITECTURE
//00 PROJECT OVERVIEW

Smart Utilities applies connected-device and data-platform architecture to distributed infrastructure where visibility, reliability and operational response depend on trustworthy field information.

//01 PROJECT NOTES
DISCIPLINES
IOT / DATA / PLATFORM ARCHITECTURE
PERIOD
2022
// ARCHITECTURE FIGURESmart Utilities / conceptual system view
01FIELD ASSETS
02NETWORK / INGESTION
03DATA PLATFORM
04OPERATIONS / ANALYTICS

CONCEPTUAL VIEW / RESPONSIVE HTML FIGURE

//02 CONTEXT

Context

Utility environments combine physical infrastructure with communications, device management, telemetry, data processing and operational workflows. Value only emerges when those layers operate as a reliable end-to-end service.

The architecture therefore begins at the field asset and follows information through connectivity, ingestion, processing, analytics and operational action.

//03 CHALLENGE

Challenge

Distributed assets create uneven connectivity, heterogeneous device protocols and high data volumes. At the same time, operational users need simple, trustworthy information rather than raw telemetry.

The design needed to accommodate constrained devices and networks without making downstream enterprise services dependent on device-specific implementation details.

//04 ARCHITECTURE

Architecture

The platform separates device connectivity, ingestion, event processing, data services and consuming applications. Device and protocol complexity is normalised at the platform boundary, while governed APIs and event streams expose reusable information to enterprise consumers.

Security, device identity, observability and lifecycle management are treated as platform capabilities rather than afterthoughts.

//05 TRANSFORMATION

Transformation

The resulting model supports incremental onboarding of utility use cases while preserving a common technology foundation. New devices and operational services can be introduced through defined patterns rather than bespoke end-to-end integrations.

//06 OUTCOME

Outcome

The architecture turns telemetry into an enterprise capability: measurable infrastructure, reusable data services and a foundation for automation, analytics and improved operational decision-making.

// SYSTEM IMPACT
01CONNECTED FIELD ASSETS
02GOVERNED DATA SERVICES
03OPERATIONAL INTELLIGENCE