The application discloses an AI vision-based water transportation construction project safety hidden danger intelligent monitoring method and
system, which comprises the following steps: A1, collecting water
pile foundation construction video
stream data and water
transportation safety specification text data and respectively preprocessing; A2, extracting water
pile foundation construction basic features and
small target feature
gain weight, and then calculating motion trajectory
mask matrix and
time sequence fusion features; A3, sequentially extracting water transportation scene structure
mask matrix and water
pile foundation construction features after physical constraint, and generating safety hidden danger behavior features; A4, extracting initial text features and weighted text features, and then performing cross-
modal fusion; A5, calculating behavior compliance matching degree; A6, calculating behavior compliance results, and extracting corresponding contents in the preprocessed water
transportation safety specification text data; the application can solve the problems of poor water transportation construction project safety hidden danger identification precision and difficulty in linking
safety specification text in the prior art.