Increase machine availability
Use condition data and alarms to identify deterioration before it becomes an unplanned stop.
- Condition monitoring
- Thresholds and alerts
- Historical trends
ifm · IIoT platform
ifm moneo IIoT Platform
Turn machine and process data into usable operational information. moneo combines device parameterisation, data acquisition, dashboards, monitoring and modular insights in a no-code IIoT environment that can connect OT data with higher-level IT systems.
No-code IIoTDashboards & alertsIO-Link integrationCloud / on-premises
Machine data
Sensors, IO-Link masters, controllers and gateways.
moneo IIoT Core
Parameterise, collect, calculate, visualise and monitor.
Act on data
Alerts, analytics, AI-assisted insights and integrations.
Core roleIIoT hubSensor-to-information workflow
DeploymentFlexibleCloud or on-premises by offering/region
OperationNo-codeDrag-and-drop dashboards & workflows
IntegrationOT + ITOpen protocol / connector approach
Operational outcomes
moneo application scope
The value is not another dashboard. Start with a machine, process or energy decision that needs better data and build the IIoT architecture around it.
Detect process deviation
Combine process values and calculated metrics to make abnormal operating conditions visible.
- Live values
- Calculated information
- Dashboards and notification
Consumption visibility
Monitor energy-related process data at machine or production level and create actionable views.
- Compressed air
- Electrical / utility data
- Machine-level KPIs
Architecture
Connect → transform → get insights
IFM positions moneo as a modular IIoT platform between shop-floor data and existing data-management systems. The architecture should be chosen around where the data originates and where decisions need to be made.
01Sensors / machines
→
02IO-Link / edge connectivity
→
03moneo IIoT Core
→
04Dashboards / Insights / IT
moneo IIoT devicesConnect machine and sensor data from the field.
moneo IIoT CoreParameter setting, acquisition, visualisation and monitoring.
moneo InsightsAdd advanced analytics such as anomaly detection and selected predictive functions.
Connectors / ITExchange prepared information with higher-level applications where supported.
Platform core
moneo IIoT Core does
Core is the foundation of the platform. It should be sized and licensed for the required information points, functions, deployment model and integrations rather than treated as one fixed software package.
Parameterisation
Configure supported IO-Link devices and manage connected equipment.
- Device onboarding
- Parameter setting
- Status visibility
Acquisition & transformation
Collect process values and turn raw data into calculated operational information.
- Time-series data
- Calculations
- Data relationships
Dashboards
Create user-defined dashboards and status views using drag-and-drop workflows.
- Live values
- Trends
- Status views
Monitoring & alerts
Detect deviations and route attention to the conditions that require action.
- Limits
- Notifications
- Tasks / follow-up
Modular extension
Add advanced insights only where the use case justifies them
IFM offers moneo Insights for additional analytics. Scope the feature set to the operational requirement instead of assuming every project needs AI or predictive maintenance.
Anomaly detection
Identify unusual behaviour from machine or process data where suitable data quality and history exist.
- Application dependent
- Requires meaningful input data
Condition-based decisions
Use condition data to support maintenance prioritisation and selected remaining-life / predictive workflows.
- Vibration and process data
- Trend context
Material-flow transparency
Combine identification events and location/zone information to improve traceability and movement visibility.
- RFID / code readers
- Event dashboards
- Material flow
Applications
moneo can create useful operational transparency
Start with a bounded business problem. A pilot that improves a maintenance, quality or energy decision is more useful than connecting every available sensor.
Condition monitoring
Vibration, temperature and machine-state data can be trended and alarmed for maintenance workflows.
View route →Compressed-air / energy monitoring
Use consumption data and trends to identify abnormal utility demand and leakage patterns.
View route →Track & trace
Use RFID or optical identification data for material-flow and traceability dashboards.
View route →Project fit
Define the IIoT outcome before selecting licences and hardware
Cloud/on-premises availability, licence model, information points, gateways, network boundaries and target integrations must be confirmed for the actual project and region.
Do not treat moneo as a PLC replacement. It is an IIoT/data platform. Machine-control and functional-safety logic remain in the appropriate control architecture.
Business outcomeAvailability, quality, energy, traceability or another defined KPI.
Data sourcesSensors, IO-Link masters, PLCs, gateways and existing machine data.
DeploymentCloud or on-premises requirement and site IT policies.
ScaleMachines, sites, information points and expected growth.
ActionsDashboards, alarms, analytics, reports or IT-system exchange.
CybersecurityNetwork zones, access, authentication and data-governance requirements.