Running 2 commands at same time

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Paul Elliott
Paul Elliott 2024-6-25
回答： Paul Elliott 2024-7-2
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.

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采纳的回答

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

更多回答（2 个）

SACHIN KHANDELWAL
SACHIN KHANDELWAL 2024-6-26
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
Paul Elliott 2024-7-2
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.

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