Feature-based energy data in the machining industry

• Monitoring of energy consumption in detail (electrical, pneumatic, thermal) of individual shape elements of workpieces (so-called "features") - from machines up to entire company divisions
• Allocation of performance and process data to the features of components
• Detection and optimization of the product- and feature-related CO₂-footprint of workpieces and components
• Monitoring of process conditions and determination of level of productivity of production lines in real-time
• Feature-based simulations and prediction of energy consumption for intelligent load management-- for the purpose of production planning and control
• Based on simple, robust sensors for feature optimization, used at representatively selected measurement points, and on automatable markers in the machining program
• Visualization of sensor data via Grafana dashboards
• Also suitable for off-site monitoring

Innovation level

• evaluate the energy efficiency of manufacturing processes in real time by integrating energy-related sensor data and machine control data - standalone or integrated into the product life cycle
• feature-based, closed-loop energy data collection for optimization of construction and production processes
• premiere at Hannover Messe

Target audience and applications

• Manufacturers from the metal and plastic industries
• Machining tool equipment manufacturers
• Energy auditors

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Contact

Univ.Prof. Dr. Friedrich Bleicher and Peter Heimerl