Running 2 commands at same time

I am working on a data acquisition program. Within that program, i need the following functionality:

1- start recording data on a raspberry pi

2- send a command that triggers an output voltage from the pi, some time after starting recording (say 0.25 sec).

I spoke with a matlab engineer who was totally unfamiliar with what I wanted to do. I don't really care about the order. If issuing a command first that tells the pi to generate a trigger signal is easier that is easy to adjust the delay time, but the actual trigger has to start after the data collection starts. I'm not really running 2 scripts just 2 commands and I'd like them to be able to run non-sequentially, or parallel.

I don't really even know enough to ask Mathworks the right question. Any guideance would be helpful.

Answer 1

[SACHIN KHANDELWAL]

Hi @Paul Elliott,

You might want to use the 'parpool' and 'parfeval' functions in MATLAB. These functions allow you to create a parallel pool for your computations, so you can run tasks simultaneously.

For more details, you can check out the MathWorks documentation on these functions.

https://www.mathworks.com/help/parallel-computing/parpool.html

https://www.mathworks.com/help/parallel-computing/parallel.pool.parfeval.html

If you need to wait for a while, you can use the 'pause' function.

Hope this is helpful!

[Paul Elliott]

Thank you. I will research this. I appreciate the suggestion.

Answer 2

[MathWorks MATLAB Hardware Team]

Hi,

Your wokflow is possible by using targetHardware function,

https://in.mathworks.com/help/matlab/raspberrypiio-run-on-hardware.html?s_tid=CRUX_lftnav

Please feel free to contact our technical support if you need further assistance.

https://www.mathworks.com/support/contact_us.html

Thanks,

MATLAB Hardware Team

MathWorks

Answer 3

[Paul Elliott]

Upon review, we will have to use a Python library call to start the data recording on the raspberry pi, and then use a python scripy to initiate a trigger from the pi to release the weight. We found what appears to be an easy way do this within Python. Will try to post once our solution is proven.