MCC 172: DAQ-HAT MCC with 2 simultaneous IEPE inputs, 24-Bit, 51.2 KS/s for Raspberry Pi®
The MCC 172 from Measurement Computing (MCC) is a DAQ-HAT for Raspberry Pi® with 2 simultaneous differential analog inputs, 24-Bit resolution, IEPE, with a sample rate of up to 51.2 KS/s per channel. The IEPE excitation is configurable by software (activation/deactivation). Each channel has a dedicated A/D converter. The two ADCs share the same clock which guarantees synchronous data. Multiple MCC 172 HATs can be synchronized to a single sample clock. The clock is programmable for sample rates between 51.2 KS/s to 200 S/s.
On a Raspberry Pi®, you can stack up to eight MCC HATs providing 64 channels for a maximum throughput of 320 KS/s.
LIBRARY AND EXAMPLE INCLUDED
An open-source MCC DAQ HAT library (for C / C ++ and Python) is also available with MCC 128. It allows users to develop applications on Linux. The library is available for download on GitHub. Full API and hardware documentation is provided.
The MCC DAQ HAT Library includes example programs developed in C/C++ and Python that users can run to become familiar with the DAQ HAT library and boards; source code is included.
- Console-Based
Console-based examples are provided that demonstrate how to perform FFT on a block of data, acquire synchronous data from multiple MCC 172 HATs using shared clock and trigger options, trigger a finite scan, and synchronously acquire data from multiple DAQ HATs. Source code is included.
- Example with User Interface
Example programs featuring a user interface are provided in different formats. Examples of each are shown here- DataLogger (C / C ++)
The data logger example shows how to acquire data from the MCC 172, display the data on a strip chart, and log the data to a CSV file. This example can be run from the terminal.
- DataLogger (C / C ++)
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- Web Server (Python)
The web server example lets users configure acquisition options and view acquired data from a browser window. This example is written for Python (source included).
- Web Server (Python)
Find all MCC ‘s DAQ-HAT modules on our website
mcc-172 mcc172