Industrial Automation
Many industrial IoT use cases relate to core overall operational efficiency (OEE), equipment monitoring and predictive maintenance because “any downtime is extremely costly.”
- Data collection and analysis from local control systems - data collection from any data source (sensors, control systems, smart meters, etc.), transformation, consolidation and analysis of data and their transfer to IT infrastructure or cloud including data visualization in graphical form
- Integration and communication of heterogeneous systems - integration of different control systems from different manufacturers communicating with each other through different protocols including integration of information systems and databases
- Control systems - control of machines and equipment that do not directly endanger the health and safety of workers, process automation and automation of production processes
- Automatic diagnostics of devices and monitoring of their status with the possibility of warning of upcoming failures - predictive maintenance