Simplifying Big Data Efforts with Flexible DAQ Solutions

Discover how open, PC-based DAQ architectures eliminate complexity, secure data, and turn big data into actionable insights.
Oct. 2, 2026

Modern process industries view data as essential currency, yet capturing, analyzing, and acting upon it often creates architectural bottlenecks. Traditional setups relying on monolithic DCS configurations and standalone data acquisition (DAQ) boxes struggle with cross-system communication. Transitioning to open, interoperable PC-based control allows industrial operations to simplify integration, secure transmission, and unlock digital transformation across both greenfield and legacy installations.

Consolidate hardware and edge roles: Use single industrial PCs (IPCs) to simultaneously execute PLC functions, coordinate diverse I/O signals, and run edge computing tasks or cloud uploads without redundant hardware.

  • Streamline networks with EtherCAT: Replace complex IT networking and IP overhead with hardware-filtered EtherCAT communication that directly blocks IP-routed cyberattacks and easily connects to third-party or legacy fieldbuses.
  • Bridge software and higher-level systems: Enable native interoperability across platforms like MATLAB, Simulink, and ERP systems using open protocols such as OPC UA.
  • Drive predictive, actionable outcomes: Leverage scalable analysis tools and browser-based dashboards to run real-time condition monitoring, anomaly detection, predictive maintenance, and overall equipment effectiveness (OEE) optimization.