The invention relates to the technical field of mental patient monitoring, and discloses a mental patient escape early warning and
monitoring system based on
base station and bracelet linkage. The
system comprises a
base station data acquisition module for acquiring patient position and physiological status data uploaded by a plurality of bracelets in real time; the safety area division module is used for generating a patient activity thermodynamic diagram based on the position data and dividing a safety area; the physiological
feature mapping module is used for deploying a
signal intensity array according to a safety area, analyzing abnormal displacement features in the position data by means of a
signal propagation
algorithm, and generating a displacement
risk distribution diagram; the data collaborative fusion module establishes time-
space mapping of the two modules, aligns data timestamps, and fuses the thermodynamic diagram and the
risk distribution diagram to generate a risk
confidence score; the dynamic early warning decision module is used for converting the
score into an early warning control instruction by using a risk optimization
algorithm; and the execution feedback module is used for monitoring the state change of the patient after the instruction is executed, calculating the deviation with a safety threshold value, generating a monitoring strategy effectiveness index and dynamically optimizing to guarantee the safety of the patient.