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PLCs require process data running on deterministic communication protocols. Analytics and AI driven use cases rely on full-bandwidth process data at high sampling rates accessible via IT Ethernet protocols, which traditionally fall into a separate, dedicated device category. This white paper explains how digiBOX Industrial handles both tasks in a single stand-alone device, eliminating the need for multiple hardware platforms.

 

Topics covered:

  • How communication tasks are divided, with fieldbus and I/O for real-time control, MQTT for states and key values, openAPI for parameterisation and MES integration, and openDAQ™ for complete data streams of up to 40 kS/s per channel

  • Four application scenarios, covering condition monitoring of a joining station, recipe-controlled changeover, a reference dataset for AI-based quality assessment, and a digital process twin

  • The measurement principles behind these applications, including sample-synchronous 24-bit acquisition for strain-gauge and piezoelectric sensors on a common time base, with a shared object dictionary across all interfaces

  • Network and security recommendations, including where TLS applies, how to segment IT and OT networks, and how the system responds if the broker or analytics PC fails

  • A six-step approach to implementing a pilot station, from defining the required time resolution to verifying safe operating states

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