Raspberry Pi IEPE Measurement HAT

May 28, 2020 //By Ally Winning
Measurement Computing has launched the MCC 172 IEPE Raspberry Pi Measurement HAT for machine condition monitoring and edge computing applications.
Measurement Computing has launched the MCC 172 IEPE Raspberry Pi Measurement HAT for machine condition monitoring and edge computing applications.

The new MCC 172 is a two-channel, high-speed DAQ HAT (Hardware Attached on Top) that allows the taking of sound and vibration measurements from IEPE sensors, such as accelerometers and microphones. The device has two, simultaneous, 24-bit analog inputs that are capable of providing sample rates of up to 51.2 kS/s per channel. Each of the two channels has a dedicated A/D converter. The ADCs share the same clock and are synchronized to start conversions at the same time for synchronous data.

Up to eight MCC HATs can be stacked onto a single Raspberry Pi computer. Measurement computing also offers a selection of DAQ HATs for the Raspberry Pi, which allow users to develop multifunction, Pi-based solutions with combinations of analog input, output, and digital I/O. It is possible to synchronise multiple MCC 172 HATs to a single sampling clock, which can be programmed for sampling rates between 51.2 kS/s to 200 S/s.

The MCC 172 board plugs into Raspberry Pi using the board’s 40-pin general-purpose I/O (GPIO) connector. The MCC 172 can be used with all Raspberry Pi models that feature the 40-pin GPIO connector. The MCC board is powered through the Raspberry Pi’s 5V supply through the GPIO header.

Analog input signals can be connected to either the 10-32 coaxial inputs or to the screw terminals. Only a single source can be connected to a channel at a time

For support, the open-source MCC DAQ HAT Library of commands is available in C/C++ and Python allows the development of applications on Linux. The library can easily be downloaded from GitHub. Measurement computing also supplies comprehensive API and hardware documentation.

More information

https://www.mccdaq.de/DAQ-HAT/MCC-172.aspx

Related news

12-megapixel Raspberry Pi camera is ideal in low light conditions

Low-cost IoT gateway is based on Raspberry Pi technology

New technology notes, tools and products help integrate AI solutions

Rugged and fanless IPC for edge AI computing


Vous êtes certain ?

Si vous désactivez les cookies, vous ne pouvez plus naviguer sur le site.

Vous allez être rediriger vers Google.