The application discloses an Alzheimer's
disease patient intelligent assistance method and
system based on multi-
modal perception and a double-layer AI architecture. The method comprises the following steps: a wearable terminal collects multi-
modal input data and sends the multi-
modal input data to an
edge computing server; the
edge computing server serves as a first computing node, generates a restricted structured service call instruction through a lightweight large
language model, and executes a first service; a user question and an execution result are sent to a cloud-side
workflow for checking; if the first execution is insufficient to answer the question, the cloud-side
workflow outputs a
hybrid protocol response containing a
natural language carrier and a
machine-readable correction load; the
edge node extracts the correction load and reuses a frozen multi-
modal data segment to perform compensation; and the compensation result is submitted to the cloud side to generate a final reply and broadcast the final reply. Through the double-layer architecture of
edge computing and cloud-side
workflow cooperation, and in combination with an automatic error correction
closed loop mechanism, the application realizes low-
delay and high-reliable Alzheimer's
disease patient intelligent assistance.