This invention provides a perinatal full-cycle intelligent intervention method based on multi-source heterogeneous data fusion, comprising: step S100, simultaneously collecting subjective self-reported data from pregnant women, real-time physiological data from wearable devices, and heterogeneous clinical examination data to construct a multi-dimensional spatiotemporal data
pool; step S200, establishing a unified time base axis with
gestational age and absolute time as dual coordinate axes, and extracting feature vectors from the data in the multi-dimensional spatiotemporal data
pool at
fixed time steps; step S300, calculating the real-time global comprehensive
risk index RI based on the feature vectors; step S400, when RI exceeds the first dynamic threshold T1, the
system triggers a level-one warning; when RI exceeds the second dynamic threshold T2 and a preset acute-critical feature operator is identified, the
system triggers a level-two warning, and simultaneously generates an admission preparation
list and sends a rescue instruction to the hospital's emergency dispatch
system.