IIoT Integration Built for Industrial Connectivity
Connect any sensor, PLC, or industrial system to Oriens EAM for real-time condition monitoring, automated anomaly detection, and maintenance work orders triggered directly from live data.

Connect your plant floor to your maintenance team
Real-time sensor data, automated alerts, and predictive maintenance no custom integration required.
Real-Time Sensor Data Ingestion
Ingest live data from any sensor, meter, or industrial device at sub-second intervals and surface it against the exact asset it belongs to in Oriens EAM. Temperature, vibration, pressure, flow rate, current, and custom parameters all handled through a single integration layer.
- Sub-second data ingestion from any connected sensor or device
- Live readings mapped directly to the asset in your EAM register
- Support for temperature, vibration, pressure, flow, current, and custom parameters
- Historical sensor data retained and queryable for trending and analysis

Predictive Work Order Triggers
When sensor readings breach configured thresholds or ML models detect abnormal patterns, Oriens EAM automatically creates and assigns a maintenance work order with the right priority, type, and technician pre-filled. Your team acts before a failure occurs, not after.
- Threshold breaches automatically create maintenance work orders in real time
- Work order type, priority, and technician assignment pre-configured per rule
- Multi-condition rules trigger only when multiple parameters deviate together
- Full audit trail linking each auto-generated WO back to the sensor event that triggered it

SCADA & DCS Integration
Connect to existing SCADA and DCS systems via OPC-UA, MQTT, and Modbus no rip-and-replace of plant infrastructure required.
Asset Health Scoring
Continuous health scores per asset calculated from live sensor feeds visualised as traffic-light status on dashboards.
Maintenance Cost per Sensor Event
Track actual maintenance costs triggered by sensor events linking IIoT alerts directly to work order spend for ROI reporting.
Digital Twin Support
Model critical equipment as digital twins with live telemetry overlaid visualise asset state in real time.
Protocol Support Out of the Box
Native support for OPC-UA, MQTT, and Modbus connect PLCs, SCADA systems, and IoT devices without custom middleware.
IIoT and condition monitoring by the numbers
- reduction in equipment downtime with predictive maintenance
- 30-50%
- reduction in overall maintenance costs with IIoT integration
- 10-25%
- of equipment failures detectable early with continuous condition monitoring
- 70%
reduction in equipment downtime with predictive maintenance
reduction in overall maintenance costs with IIoT integration
of equipment failures detectable early with continuous condition monitoring
From sensor connection to predictive maintenance
A structured integration process gets live sensor data flowing into your maintenance workflow fast.
Connect your data sources
Configure OPC-UA, MQTT, or Modbus connections to your PLCs, SCADA, DCS, or IoT devices using the built-in integration wizard.
Map sensors to assets
Link each data stream to the corresponding asset in your Oriens EAM register so live readings appear against the right equipment record.
Configure threshold rules
Set normal operating ranges, warning thresholds, and critical limits per sensor with escalation paths and notification routing.
Enable automated work order creation
Define which threshold breaches should automatically create maintenance work orders with type, priority, and assignment pre-configured.
Monitor and optimise
Asset health dashboards, anomaly trends, and predictive maintenance insights build automatically from live data over time.
Works seamlessly with every module
IIoT data flows into maintenance workflows, asset health records, and analytics automatically.
Frequently asked questions
Common questions about the Oriens EAM IIoT Integration module.
Connect Your Equipment, Predict Failures Early
Turn real-time sensor data into maintenance triggers and stop unplanned breakdowns before they reach the shop floor.