This invention discloses a phase-locked monitoring and
early warning system for bovine nodular dermatitis based on digital twins, relating to the fields of
artificial intelligence and bovine nodular
disease monitoring, early warning, and forecasting technologies. It includes a Culicoides
midge blood meal detection sentinel device, a polarized
structured light dual-
image acquisition device, a phase-locked
disease progression digital twin engine, an
insect-borne reverse control execution device, data storage nodes, and communication nodes. The sentinel device outputs zonal propagation pressure curves,
hot zone migration speeds, and time-period peak windows; the dual-
image acquisition device triggers acquisition within the peak window and outputs three-dimensional deformation reconstruction results and polarization reflection difference features; the digital twin engine, based on propagation phase
estimation, vital sign phase
estimation,
hysteresis constraint compilation, and phase consistency gating, outputs individual-level
disease progression stage status, early warning and forecast
time windows, and zonal-level early warning levels, and generates control action sequences and targeted sampling plans; counterfactual trajectory generation and parameter updates achieve consistency comparison and trigger
resampling and control strategy reconfiguration.