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MCC 128

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Voltage Measurement DAQ HAT for Raspberry Pi®, 16-bit, 100 kS/s

MCC 128
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KEY HIGHLIGHTS

The MCC 128 DAQ HAT provides 8 SE/4 DIFF channels of analog voltage measurement for Raspberry Pi based data acquisition / data logger systems. It features 16-bit resolution and multiple analog input ranges, ideal for making precision measurements.

The MCC 128 maximum sample rate is 100 kS/s per board for taking single point or waveform voltage measurements. Up to eight MCC 128 devices can be stacked - providing up to 64 channels of data and a maximum throughput of 320 kS/s.

All MCC DAQ HATs provide easy-to-use C/C++® and Python™ open-source libraries and examples allowing you to take reliable, quality measurements quickly.

NOTE: Raspberry Pi is not included with the MCC 128.

ANALOG Input
Channels Resolution Max Sample Rate
8 SE/4 DIFF 16-bit 100 kS/s
Sampling Ranges Isolation
Multiplexed ±10 V, ±5 V, ±2 V, ±1 V —
ANALOG Output
Channels Resolution Speed
— — —
Digital I/O
Channels Counter/Timers Encoder
— — —
Software Power
OS Support Drivers Power
Linux®, Raspbian® DAQ HAT Library™ Provided by RPi

Part Number Description (Please use the SKU number when placing orders) Price
MCC 128
SKU: 6069-410-001 		Voltage Measurement DAQ HAT for Raspberry Pi with 8 SE/4 DIFF analog inputs, 16-bit resolution, variable gains, and up to 100 kS/s sample rate Buy at Digilent.com $199.00
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SKU: 6069-410-000 		Voltage measurement DAQ HAT for Raspberry Pi with 8 SE analog inputs, 12-bit resolution, and 100 kS/s sample rate
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MCC 118-OEM
SKU: 6069-410-000-OEM 		Voltage measurement DAQ HAT for Raspberry Pi with 8 SE analog inputs, 12-bit resolution, and 100 kS/s sample rate. OEM version removes screw terminal connectors.
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MCC 128-OEM
SKU: 6069-410-001-OEM 		Voltage Measurement DAQ HAT for Raspberry Pi with 8 SE/4 DIFF analog inputs, 16-bit resolution, variable gains, and up to 100 kS/s sample rate. OEM version removes screw terminal connectors.
Qty:
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Product Reviews




What variables are used to calculate the buffer size?

  • Job Title: engineer
  • Industry:
  • Application:
17 months ago
daquser


Answers

The buffer size is allocated based on whether it’s a finite or continuous scan. For a finite scan, the buffer allocated is the number of samples in the scan. For continuous, its based on the selected sample rate. More information on this topic is available at: https://mccdaq.github.io/daqhats/c.html#c.mcc128_a_in_scan_start

17 months ago
Measurement Computing

Was this answer helpful? Yes (4) / No (0)

Hello, I am looking at your specifications. Can you please tell me if my math is correct? I would like to know the maximum sample rate in ms of the Data Acquisition if I have 64 Analog Input Channels. (((320,000 Samples/s)/(64 Channels))*(0.001 s/ms))*(ms/Sample) = 0.2 ms/(Sample*64Chanels). So for 64 Channels the sample rate or (scan time) would be 0.2ms . Is this correct?

  • Job Title: Controls Engineer
  • Industry: Energy
  • Application: Controls
25 months ago
Michael Ignite Richmond, VA


Answers

Yes, your calculations are correct. Sample rate in mSec for 64 channels will be 0.2 mSec per channel (5000 Hz). Please take into account that the load on the Raspberry Pi processor can affect the overall sample rate. For optimal results it is recommended that you use a Raspberry Pi 3 B+ or Raspberry Pi 4.

25 months ago
Measurement Computing

Was this answer helpful? Yes (6) / No (2)

Can we reach the 100kS/s on a single channel, or on multiple channel ?

  • Job Title: Tech
  • Industry:
  • Application:
27 months ago
Gab7384 Belgium


Answers

The MCC 128 has a max sample rate for a single board of 100kS/sec. This is for a single channel or multiple channels. If multiple channels are to be used, divide the sample rate by the number of channels to calculate your per channel rate.

27 months ago
Measurement Computing

Was this answer helpful? Yes (5) / No (0)

Is there a low pass filter before the ADC to prevent aliasing of the analog input signal?

  • Job Title: Enginer
  • Industry: Recreational Equipment
  • Application: equipment testing
27 months ago
cc Bend, Or


Answers

Hello - no, there are no anti-aliasing filters built into the MCC 128.

27 months ago
Measurement Computing

Was this answer helpful? Yes (4) / No (0)

Included Software

  • DAQ HAT Library Open-Source Library for C/C++ and Python and programming examples are available for download here

Safety, Environmental, and Regulatory Information (SERI)    download

 

MCC DAQ HAT Library documentation      download

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