How fast can MATLAB plot real-time data?

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We are trying to real-time plot input signal from ModBus. The data acquisition has been handled, but we are wondering whether or not MATLAB's App Designer is fast enough to make an interface for plotting a graph.
The frequencies we're looking at are ~7-10 Hz and our samples are 8x1 vectors.

回答(1 个)

Shubham
Shubham 2024-2-29
Hi Mihkel,
MATLAB's App Designer is capable of creating interfaces for real-time data visualization, including plotting graphs of incoming data signals. However, the performance and responsiveness of the real-time plot will depend on several factors, such as the complexity of the app, the efficiency of the code, the speed of the computer running the app, and the specifics of the data acquisition and plotting process.
For signals with frequencies around 7-10 Hz and 8x1 vector samples, MATLAB should be able to handle real-time plotting without significant issues, provided that the implementation is optimized. Here are some tips to ensure smooth real-time plotting in App Designer:
  1. Instead of creating a new plot for each incoming data point, it is more efficient to update the existing plot. This can be done by initializing the plot once and then updating the XData and YData properties of the plot object with each new sample.
  2. Accumulating an unlimited number of data points can slow down the plot. Set a limit to the number of points displayed at any given time by using a sliding window approach, where older data points are removed as new ones are added.
  3. Reduce the number of components that need to be updated in the GUI to minimize computational load. For instance, if you have other UI elements that do not need to be updated with each new sample, keep them static.
  4. Implement timers to control the data acquisition and plotting intervals. This allows you to separate the data acquisition process from the plotting process and can help maintain a consistent update rate.
  5. If possible, handle data acquisition asynchronously to prevent it from blocking the main thread, which could cause the GUI to become unresponsive.
  6. Make sure the code that reads data from the ModBus is optimized and does not introduce unnecessary delays.
  7. Use MATLAB's built-in profiler (profile on, profile viewer) to identify bottlenecks in your code and optimize them.
In summary, while there are challenges associated with real-time plotting, MATLAB's App Designer should be able to handle plotting for the signal frequencies and sample sizes you mentioned, given an optimized implementation.

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