Supported inputs and data sources:
- IoT devices and sensors
Continuous recording of environmental and technological parameters: temperature, humidity, pressure, vibration, energy consumption, etc.
- PLC systems (Programmable Logic Controller)
Direct connection to the control logic. MoniTwin can read status information and control events through various industrial protocols (e.g., OPC UA, Modbus, MQTT).
- Machine status data
The real-time status of each machine can be queried:
- Operating time
- Downtime and its cause
- Energy consumption
- Error codes and event history
The real-time status of each machine can be queried:
- Manual data entry
Where there is no machine data source, data collection can be done with the involvement of operators. This can be done via HMI, tablet, or other digital interfaces, for example:
- Shift start or end report
- Error reporting
- Quality and sensory feedback
- ERP systems integration
MoniTwin can synchronize with the enterprise resource planning system (e.g., SAP, Navision, Odoo, etc.) and import from there:
- Production plans
- Inventory movements
- Order data and production specifications
- Actual fulfillment information
- Unified data warehouse – the foundation of reliable analytics
All of the above data is stored and unified in MoniTwin's central data warehouse. This ensures that structured and unstructured information from various sources is put into context, and that the data generates genuine decision-supporting knowledge.
- Automatic time synchronization and data normalization
- Pre-processed, audited, and logged data
- Ready to serve artificial intelligence, prediction, and statistical analyses