Autonomous DAQ computer targets edge computing

Autonomous DAQ computer targets edge computing

By eeNews Europe

Data recording in Smart manufacturing environments is used for identifying and collecting important information, which is also necessary as a basis for management and controlling, energy-efficient use and the anticipatory servicing of automated systems. Recording and digitalisation either takes place via several DAQ plug-in cards in larger computer architectures or more decentralised with autonomous DAQ computers in the vicinity of the signal transmitters.

The hardly hand-sized MCM-204 in full-aluminium casing enables 24/7 data recording of sensors with a high degree of precision and a fast scanning rate. The fanless all-in-one computer can be used immediately without an additional host computer and be integrated in existing networks via the two gigabit Ethernet interfaces. The 24 bit sigma-delta converter supports anti-aliasing filtering, suppression of modulation and signal noise and provides a useful signal below the Nyquist rate, via which raw signals can be processed highly dynamically, for example for monitoring tasks.

The integrated web console makes configuration without additional software possible, thus also enabling the import of application-specific filter algorithms. The embedded PC is driven by the ARM Cortex-A9 with 1.0 GHz. Up to four 24-bit channels, each with 128 kS/s sampling rate, are available for simultaneous sensor signal recording. The sampling rate can be adapted to the respective requirements with several levels from 1 kS/s to 128 kS/s. Data communication takes place via two GbE interfaces or an optional WLAN module in the USB sockets. A digital temperature sensor (-50 to +150 °C) with 3m connection cable is already included in the scope of delivery. The 127x111x40mm aluminium casing is also suitable for top-hat rail assembly.

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