Industrial IoT and condition monitoring

Integrate sensors, monitor assets in real time, predict failures before they happen, and trigger work orders automatically — all from one IoT platform.

Sensor Agnostic Predictive Maintenance Energy Monitoring Threshold Alerts
Any Protocol MQTT, Modbus, BACnet, REST
Real-time Sub-second telemetry
Predictive ML-driven failure detection
Overview

IoT data that drives operational decisions

Dynamic IoT connects sensors, gateways, and PLCs to a unified data layer — where telemetry becomes dashboards, alerts, and work orders. Manufacturers, utilities, smart buildings, and data centres use it to reduce downtime, cut energy waste, and detect failures early.

Sensor data streams in via MQTT, Modbus, BACnet, OPC-UA, or REST. The platform stores time-series data efficiently, runs threshold rules in real time, and feeds predictive maintenance models. Threshold breaches automatically generate work orders in Dynamic CMMS or EAM.

What's included

  • Sensor and gateway integration
  • Real-time telemetry dashboards
  • Threshold and anomaly alerts
  • Predictive maintenance models
  • Auto-generated work orders
  • Energy and utility monitoring
  • Historical analytics and trends
  • Multi-protocol support
Industries We Serve

IoT applications across asset-heavy industries

Manufacturing

Production line monitoring, vibration analysis, and OEE tracking.

Utilities

Grid sensor integration, leak detection, and SCADA augmentation.

Smart Buildings

BMS integration, occupancy sensors, and energy optimization.

Data Centres

Temperature, humidity, power, and UPS monitoring with automated escalations.

Key Features

Capabilities for industrial IoT at scale

Designed to handle thousands of sensors, multiple sites, and the messy reality of mixed industrial protocols.

Sensor Integration

MQTT, Modbus, BACnet, OPC-UA, REST, and gateway support for any sensor or PLC.

Real-Time Monitoring

Live dashboards with sub-second telemetry, threshold visualization, and asset state.

Predictive Maintenance

Vibration, temperature, and current signature analysis with ML-driven failure prediction.

Auto Work Orders

Threshold breaches and predictive alerts create work orders in Dynamic CMMS or EAM.

Threshold Alerts

Multi-channel alerts — email, Teams, WhatsApp, SMS — with escalation rules.

Energy Monitoring

Capture power, water, gas, and steam consumption with chargeback and ESG reporting.

Historical Trends

Time-series storage with downsampling, allowing year-over-year and seasonal analytics.

Secure by Design

TLS-encrypted telemetry, device certificates, and role-based access to data.

Why DynamicUnit

Why operators choose Dynamic IoT

Built by a team that has integrated IoT with EAM, CMMS, and energy reporting — so the data drives operations, not just dashboards.

Protocol Agnostic

MQTT, Modbus, BACnet, OPC-UA, REST — we handle the integration layer for you.

Operations Linked

Alerts and predictions create work orders automatically — no human re-keying.

Predictive Ready

Built-in models for vibration, temperature, and energy anomaly detection.

Arabic & English

Bilingual dashboards and alerts for GCC operations teams.

Cloud or Edge

Run cloud-hosted, on-premise, or hybrid with edge gateways at sites.

IoT Implementation

We design the architecture, install gateways, and integrate sensors — not just sell software.

How We Work

A predictable path from sensors to insight

1
Discovery & Architecture

Document sensors, protocols, sites, and target use cases. Design the architecture and edge strategy.

2
Integration & Configuration

Connect gateways and sensors, configure thresholds, alerts, and dashboards. Integrate with CMMS / EAM.

3
Pilot & Tuning

Run a pilot site, validate data quality, and tune alert thresholds and predictive models.

4
Rollout & Continuous Improvement

Phased site rollout with ongoing model tuning and new use-case enablement.

FAQ

Common questions

Yes — we integrate at the SCADA / BMS level via Modbus, OPC-UA, BACnet, or vendor APIs without disrupting existing systems.

Yes — built-in models for vibration, temperature, and current signature analysis, plus custom ML model deployment.

Yes — threshold and predictive alerts can create work orders in Dynamic CMMS, Hexagon EAM, or via REST API to other systems.

Both. We deploy cloud, on-premise, or hybrid with edge gateways for resilient site operations.

Tag-based SaaS subscription (per data point) plus a fixed implementation fee. Volume discounts at scale.

Ready to put your assets online?

Book a demo and we will walk through Dynamic IoT with your asset classes and use cases in mind.

Book a Demo
DynamicUnit