MCC 118

The MCC 118 is not simultaneous, it has one ADC and is multiplexed. Each channel is read sequentially, and data is not stored on the MCC 118. The DAQ HAT library creates a scan buffer on the Raspberry Pi. The data is transferred in bulk packets and written to the buffer. You can review all the functions supported by the MCC 118 at: https://mccdaq.github.io/daqhats/c.html

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Based on the specifications the MCC 118 uses GPIO 11 (SPI Interface). A full list of the interface specifications for the MCC 118 can be located on page 3 at the below link. No conflicts exist with unused GPIO pins. https://mccdaq.github.io/daqhats/_static/esmcc118.pdf

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Hello - the tolerance of the input impedance resistor used on the MCC 118 is 1%.

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The 100 kHz aggregate rate also applies to continuous mode. i.e. it can run 24/7/365.

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Yes, I2C is used. The Raspberry Pi HAT specification calls for an EEPROM onboard attached to I2C. This EEPROM must have product-specific data in a format that tells the Pi what signals are in use, information on the manufacturer and model of the board, etc. We also use this EEPROM to store calibration information. The address signals connect to the HAT EEPROM to allow the EEPROMs on different boards to appear at different addresses on the I2C bus. At the following link is an FAQ which shows the pins each of our HATs uses: https://kb.mccdaq.com/KnowledgebaseArticle50812.aspx

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There is no provision in the MCC 118 hardware design for a range change. You could consider using your own external amplifier.

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We do not tailor our product to any specific industry, and thus AS 9100 would not have been considered. All safety and regulatory info applicable to the MCC 118 model is contained in the following PDF: https://www.mccdaq.com/PDFs/Manuals/MCC118-seri.pdf

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If you change your board stack, you must update the saved EEPROM images so that the library has the correct board information. You can use the DAQ HAT Manager or the command: sudo daqhats_read_eeproms The DAQ Hat Manager is a tool located on your Raspberry Pi system. Click Start >> Accessories >> MCC DAQ HAT Manager. Click Read EEPROMs button.

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MCC offers support for C (Linux) and/or Python only. LabVIEW is not a supported programming option for the MCC HATs. Currently there is no LabVIEW development in process for the HATs.

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Unfortunately, the MCC HATs are not compatible with the UP board. They are designed to run only on the Raspberry Pi platform. An alternative would be to run our UL for Linux and our USB DAQ devices with Ubuntu and the UP board. You can find a list of supported hardware at: https://www.mccdaq.com/PDFs/Manuals/Linux-hw.pdf

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The trigger input can only start a scan. i.e. the trigger circuitry does not have a “gating” operation mode.

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Current support for the MCC HATs is only in C and Python.

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The measurements will not be performed simultaneously for all channels because of the MCC 118 architecture. Each MCC 118 has a single ADC that switches its inputs to the different channels on the board. The minimum time to sample all 8 channels on a board is 8/100 kHz = 80 microseconds (plus software overhead to configure a scan and retrieve the data), but multiple boards can be configured to perform their sampling in parallel so all 6 boards could be sampling their channels during that same time.

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Current support is only for single ended inputs. No other variations are available at this time. We do offer USB DAQ devices that support the Raspberry Pi. Several of these devices have both single ended or differential inputs (like our USB-1208FS-Plus) For a full list of supported hardware via our UL for Linux, please visit: https://www.mccdaq.com/PDFs/Manuals/Linux-hw.pdf

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Yes, all of the necessary components to install your MCC DAQ HAT (which include the stand-offs and the 2x20 header) are included with your order. Please refer to our hardware installation instructions for installing your MCC DAQ HAT. https://mccdaq.github.io/daqhats/hardware.html

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Yes, The MCC 118 and the MCC 152 are compatible with one another. Up to eight different MCC DAQ HAT devices can be stacked onto one Raspberry Pi.

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The Raspberry PI comes with the GCC C compiler already built in. If looking for a development environment, you can consider Code::Blocks, which is a free IDE that supports multiple compilers including GCC.

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