The application belongs to the technical field of marine environment monitoring and early warning, and specifically relates to a multi-channel
internal wave flow
early warning system and an early warning measurement method, which comprises the following steps: a
buoy body is fixedly arranged through a fixed anchor, and a marine profile comprehensive detection module synchronously collects multi-dimensional profile data such as flow velocity, temperature and
salinity. A main
control unit is embedded with a mixed driving
early warning model, a
phase velocity of an
internal wave is solved based on a
physical model, a nonlinear correction is performed through a
machine learning residual correction module, a high-precision
internal wave phase velocity is obtained, and then early warning time,
shear flow and displacement amplitude are calculated and an alarm level is determined. Alarm information is redundantly sent to a
shore station receiving
system through a ground mobile
communication link and a
satellite communication link of a multi-channel communication module, and the
shore station receiving
system regularly updates the
machine learning model by taking measured data as incremental samples. The application realizes high-precision and low-
delay early warning of internal wave flow, has high communication reliability, and is suitable for
marine engineering,
underwater vehicles and safety guarantee of offshore operations.