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IoTurn

Stand: 20-642h
08 Manufacturing software
08 Machine software
07 Automation
04 Sensor, measurement and control technology
10 Engineering und Services
08 Smart Production
01 Start-up

About us

IoTurn makes existing production machinery digitally visible with ease. Any manufacturer, non-invasive and in minutes.

IoTurn digitalises existing production machinery and transforms fragmented data stored in various silos into a robust data foundation for manufacturing decisions. Our solution records the electrical power consumption of the machines and uses this to determine their operating states. This provides visibility into machine utilisation, running times, energy consumption and process information.

The solution is aimed at small and medium-sized manufacturing companies with established, heterogeneous machine fleets and limited transparency regarding their production processes. Different manufacturers, years of manufacture and a lack of interfaces often make it difficult to achieve uniform data collection in such environments. IoTurn enables a standardised approach without the need to connect each machine individually to a PLC, an MES or a manufacturer’s system.

Companies can compare shifts, days, nights and weekends. This reveals short downtimes, idle times, unused capacity and unusual energy consumption patterns. The data helps to analyse capacity bottlenecks, tackle downtimes in a targeted manner, prepare for production meetings and evaluate planned machinery investments based on actual usage.

Where required, IoTurn links the measured machine data with the company’s order, planning or cost data. This enables the economic impact of downtime, idle time and unused machine hours to be assessed. Losses and areas for improvement are prioritised according to their financial significance. IoTurn reports measured values, calculations and modelled potential separately.

The process begins with a clearly defined pilot involving one or a small number of machines. Together, we assess the technical requirements, install the measurement technology and validate the derived statuses and key performance indicators during ongoing production operations. The solution can then be gradually extended to cover further machines and use cases.