A data acquisition library for streaming adc data from arduino due and more
Project description
daqopen-lib
This library can be used for various data acquisition tasks to proper handle streaming ADC data for building data acquisition applications.
Documentation incl. tutorials can be found here: docs.daqopen.com
Initially, it is build around the Arduino Due, which has a high-speed ADC with good accuracy and a data transfer via USB 2.0. Most of the examples and driver uses this model together with the firmware which can be found in the firmware folder.
Features
- ADC driver: Driver for communicating with Arduino Due (included firmware) and packing the data to numpy arrays.
- Circular Channel Buffer: A class representing a circular buffer for holding needed amount of data for viewing, calculating and storing.
- DAQ-Info Class: Can be used to exchange informations regarding the interpretation of the data packages. It holds adjustment values and info about the acquisition rate.
- ZMQ-Support: Transfer the acquired data in realtime via zmq to other applications or hosts
Intended Use
This library should be used if:
- you build long-running acquisition applications (e.g. measurement devices)
Installation
Installation from pypi:
pip install daqopen-lib
Install latest directly from Github:
git clone https://github.com/DaqOpen/daqopen-lib.git
cd daqopen-lib
pip install -e .
Usage
SIM (no hardware)
from daqopen.duedaq import DueDaq
import matplotlib.pyplot as plt
# Create Instance of DueDaq
myDaq = DueDaq(serial_port_name="SIM")
# Start acquisition device
myDaq.start_acquisition()
# Read the buffer 10 times
for i in range(10):
data = myDaq.read_data()
# Hold acqusition device
myDaq.stop_acquisition()
# Plot Data of last buffer
plt.plot(data)
plt.show()
Arduino Due
Setting up Arduino IDE
- Download Arduino IDE for your plattform and start the app
- Install the Package to support SAM-Controllers: Arduino SAM Boards (32-bits ARM Cortex- M3) by Arduino of version 1.6.12
Compiling and Downloading
- Open the sketch-file from firmware/due-daq/due-daq.ino
- Connect the Arduino Due to the "Programming Port" (the port near to the power socket)
- Compile and upload the firmware
- Disconnect from the "Programming Port"
Now, connect the "Native USB Port" (the port near the reset toggle) and use the following sketch for testing the Arduino acquisition:
from daqopen.duedaq import DueDaq
import matplotlib.pyplot as plt
# Create Instance of DueDaq (use empty port name for automatic search)
myDaq = DueDaq()
# Start acquisition device
myDaq.start_acquisition()
for i in range(10):
data = myDaq.read_data() # read buffer
# Hold acqusition device
myDaq.stop_acquisition()
# Plot Data of last buffer
plt.plot(data)
plt.show()
You should see something like this:
Congratulations!
For more Examples see docs.daqopen.com
Roadmap
A quick and dirty roadmap to show what is planned for the future:
- More practical examples
- Raspberry Pi Pico as DAQ device
- ...
Contributing
I welcome contributions to DaqOpen! If you'd like to contribute, please fork the repository, create a new branch, and submit a pull request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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