Manufacturing analytics with energy measurements
MICA® manufacturing analytics from HARTING and IBM uses power consumption to reveal information about the state of machines and their actual wear and tear.
MICA® manufacturing analytics, from HARTING and IBM, creates more transparency in production and encourages efficient actions. The approach is simple: sensors on the power lines are used to measure the power consumption of individual consumer loads. This data is transferred to MICA and saved there on-site. MICA makes the initial analysis and sends only relevant data to IBM’s Bluemix (IBM’s cloud platform). There, the data is evaluated using Watson technology and converted into valuable information, which can be queried from any web browser. In this way, users can compare over weeks and months to see exactly when and how each individual machine works.
Status monitoring based on power consumption: as a KPI for predictive maintenance and energy use optimisation
MICA® manufacturing analytics uses power consumption to reveal information about the state of machines and their actual wear and tear. The workflow and usage of energy changes when parts are worn. This indication of wear makes predictive maintenance possible. Power-hungry components, which may be operating unnecessarily, can be found and their use can be sensibly limited.