2020-01-25, 07:35 PM
The noaa wave data is a model based on wind and other weather to predict what the sea state would have been and the model is updated to match the measurements of the relatively few actual buoy measurements.
I am not sure how this would be useful to an autopilot anyway, and consider that all of the measurements recorded greatly depend on the vessel itself not just the conditions. The predicted waves and forecast is useful for planning where you will sail, but not really useful to the autopilot who is steering in the moment.
I have performed fourier transforms (pypilot's scope has this built in) of various sensor data, and in certain sea states I can see both the swell period as well as the boat period, but have yet to apply this in a useful way. The future improvements for using rudder feedback as well as all the other sensors I believe is similar to how a human can learn steer better (machine learning)
I am not sure how this would be useful to an autopilot anyway, and consider that all of the measurements recorded greatly depend on the vessel itself not just the conditions. The predicted waves and forecast is useful for planning where you will sail, but not really useful to the autopilot who is steering in the moment.
I have performed fourier transforms (pypilot's scope has this built in) of various sensor data, and in certain sea states I can see both the swell period as well as the boat period, but have yet to apply this in a useful way. The future improvements for using rudder feedback as well as all the other sensors I believe is similar to how a human can learn steer better (machine learning)