Which energy assets can be monitored with IoT?

Transformers, generators, substations, breakers, battery banks, and distributed generation equipment. We instrument the asset with the right sensors (temperature, vibration, current, oil) and bring that telemetry into a single tracking platform.

What's the difference between predictive and corrective maintenance in practice?

With corrective maintenance you repair after the equipment fails, always in emergency mode. With predictive maintenance, field data anticipates the wear and the intervention is planned before the breakdown, reducing unplanned downtime and preserving the asset's useful life.

How does monitoring of geographically distributed assets work?

Each field asset transmits telemetry over MQTT to a central platform, even in remote locations. The operation gains a living inventory, with the location, health status, and history of every piece of equipment consolidated, without relying on on-site rounds.

Does the IoT solution integrate with the SCADA and ERP we already use?

Yes. We connect telemetry to SCADA for real-time operation and to the ERP for work orders, materials, and maintenance planning. The idea is to enrich the systems you already have, not replace them.

How do you handle IoT device security?

We work with encrypted communication, per-device authentication, network segmentation, and access control over telemetry data. Security of the connected asset is an architecture premise, not a later adjustment.

IoT Asset Management · Energy Every asset monitored before it fails

Less unplanned downtime, longer asset life, and decisions driven by field data, with telemetry and predictive maintenance for transformers, generators, and distributed assets.

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30%

less corrective maintenance with predictive asset monitoring (industry benchmark)

The challenge

When an asset fails without warning, the cost has already arrived

Without telemetry and without an early sign of wear, maintenance becomes an emergency and the fleet's useful life shrinks. The gaps we see most:

Corrective maintenance is expensive and reactive

Replacing a part only after the equipment stops costs a fortune and always arrives late. Without an early signal of wear, every intervention becomes an unplanned emergency.

Distributed assets with no visibility

Transformers, generators, and substations spread across the territory without telemetry become blind spots. The crew learns of the problem only once it's already an incident.

Unexpected equipment failure

A transformer or generator that stops without warning takes down supply, triggers regulatory penalties, and compromises the life of the next asset in the chain.

No field data to decide with

Without history on temperature, vibration, and load, the decision to keep, repair, or replace becomes guesswork. The data that separates a healthy asset from a failing one is missing.

How we implement

From the field sensor to the health of every asset

An IoT architecture built for the energy sector, turning field telemetry into planned maintenance and assets that last longer.

Asset sensors and telemetry

See every asset in the field, even the most remote ones. We instrument transformers, generators, and substations with temperature, vibration, and load sensors, with telemetry over MQTT arriving in real time.

Predictive maintenance

Swap emergency corrective work for planned intervention, at the right moment, while the asset is still healthy. Models analyze each piece of equipment's operating pattern and anticipate wear before the breakdown.

Distributed asset management

A living inventory of every asset, with location, history, and health status consolidated in one place. The operation starts prioritizing crews and resources by real criticality, not by ticket order.

Asset health dashboard

Management sees where to act first and projects each asset's useful life based on field data, with a digital twin that brings health indicators, anomaly alerts, and a risk ranking per piece of equipment.

Technologies

Technologies & partners

IoT

MQTT

Python

Time-series DB

Node.js

AWS

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Common questions about IoT for assets

Let's put your assets under predictive monitoring

Bring your fleet of transformers, generators, and substations. You'll leave the conversation with a clear technical path, from the field sensor to the asset health dashboard.

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