Pair the Schneider Electric Modicon M221 PLC with Python and Modbus TCP to build an industrial condition monitoring system that can later be extended with predictive maintenance analytics.
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Using overall equipment effectiveness metrics and advanced technologies allows manufacturers to enhance maintenance, performance, and productivity.
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Predictive maintenance (PdM) emerged as a better alternative, utilizing real-time data from sensors to monitor equipment and predict potential issues.
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In Manufacturing 4.0, Big Data, cloud computing, and augmented reality tend to monopolize the spotlight; however, there are some less-glamorized technologies that deserve recognition as well.
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Modern advances in industrial automation technologies like the integration of IIoT, robotics, and AI have resulted in substantial increases to manufacturing outputs.
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Robotics process automation is designed to democratize automation by enabling users and operators to develop and use robotic applications directly.
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3D-Machine vision has transformed robotics, adding flexibility and independence while improving performance.
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Advancements in intelligent electronic sensing, control and communication are enabling new levels of factory automation for greater efficiency and lower operational costs - and ultimately...
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