Here you can find quick & dirty Python (3.7.x) bindings for flow meter and flow controller from Analyt-MTC. It is important that they look like the controller from Alicat (https://github.com/numat/alicat) but the bindings will not work for Analyt-MTC!!!

I just started using my own bindings and this repository will be updated soon ... It's included into some of my projects for my PhD thesis.

Clone from GitHub: git clone https://github.com/schlenzmeister/AnalytMTC.git

Import my module "AnalytMTC" to your project. import AnalytMTC as mtc

Create a minimal instance with fc = mtc.AnalytMTC()

In this case "/dev/ttyUSB0" is used for serial communication. You can use a USB->Serial converter but keep in mind that you might change the serial port ("/dev/ttyUSB1", "/dev/ttyUSB2", ...).

It is better to use more paramters. For example I use this for a 500 ml/min flow controller with the ID "A": fc500 = mtc.AnalytMTC(unitid='A', maxflow=500)

You need to start the comunication now: fc500.startCommunication()

To stop the communication e.g. in case of exceptions use this: fc500.stopCommunication()

fc500 = mtc.AnalytMTC(unitid='A', maxflow=500)
fc500.startCommunication()
fc500.setFlow(flow=250)
fc500.stopCommunication()

fc500 = mtc.AnalytMTC(unitid='A', maxflow=500)
fc500.startCommunication()

print(fc500.getAirPressure())
print(fc500.getTemperature())
print(fc500.getGas())
print(fc500.getCurrentFlow())
print(fc500.getTargetFlow())

fc500.stopCommunication()

You can use multiple flow controllers to create a gas mixture. Therefore you need (at least) two controllers (A 100 ml/min and a 500 ml/min):

fc500 = mtc.AnalytMTC(unitid='A', maxflow=500)
fc500.startCommunication()
fc100 = mtc.AnalytMTC(unitid='B', maxflow=100)
fc100.startCommunication()

mfc = mtc.MultiAnalytMTC(fc500, fc100)

You can now set a total flow and a ratio for the mixture. This will create a total flow of 80 ml/min with a ratio of 60/40:

mfc.setSplittedFlow(80, 60)

This yields 48 ml/min from controller A and 32 ml/min from controller B.