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Engineering a More Sustainable Future | ADI
ADIN1200 Industrial
Ethernet PHY
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Motor driven systems are now integrating advanced sensing, signal
processing, edge AI, and connectivity solutions to create motion
data and insights at the Intelligent Edge. These new insights are
communicated to the manufacturing execution system
(
MES
) (
see
Figure 4
)
. The MES can then identify deployed motors that are being
operated significantly below their nominal rated output, resulting
in underutilization and increased electricity consumption. Another
critical capability is identifying deployed motors that operate too
near to or slightly above their rated output, which also results in
increased electricity consumption and potential lifetime issues. In
a large manufacturing installation with several hundred to several
thousand motors deployed, digital transformation strategies are
especially crucial to reducing electricity consumption and CO
2
.
fido5100/fido5200
REM Switches
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Figure 4: Key technologies to deliver motion insights.
4
Adobe Stock / WilliamJu – stock.adobe.com
Adobe Stock / Nordroden – stock.adobe.com
