Crosser and Weidmüller announce a partnership to deliver an end-to-end machine learning solution that empowers subject matter experts to build and deploy machine learning powered use cases, without the support of data science experts.
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Weidmüller is introducing OMNIMATE 4.0 – a modular system for building connectors for data, signals and power.
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The large amount of generated data needs to be easily accessible to the machine operator via a Human Machine Interface (HMI). With the PROCON-WEB software tool, Weidmüller provides a visualisation solution with dynamic user interfaces that can be individually parameterised and configured without any programming expertise.
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With u-sense, Weidmüller now offers a retrofit-capable solution that integrates motor monitoring directly into the Industrial Internet of Things (IIoT) in the shortest time possible.
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The Weidmuller Automated Machine Learning (AML) platform uses an intuitive, guided HTML interface approach.
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Today’s automation systems are expected to deliver an increasing amount of data about every aspect of their operation and performance. The Internet of Things (IoT) provides, in principle, an attractive way of meeting these requirements, but how can IoT concepts be implemented easily, reliably and cost-effectively in the real world?
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Automated processes in panel building allow error sources to be reduced, procedures to be speeded up and costs to be cut. However, these things can only be achieved if the components, digitalisation technology and automation technology fit perfectly together. Therefore, Klippon Connect terminal blocks from Weidmüller’s A-Series were designed from the very outset to be “ready-to-robot”.
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In this interview Jörg Scheer, Head of the Weidmüller Group's Device & Field Connectivity Division, discusses the place connection cables have in digitalisation.
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