This invention relates to an intelligent
fume hood airflow control system based on behavior prediction and dynamic optimization, belonging to the field of laboratory
ventilation control technology. The
system includes: an
environmental sensing module that collects real-time
sensing data streams; an
intelligent control decision module that dynamically adjusts the face velocity
setpoint based on
pollutant concentration, predicts and generates
variable air volume valve control commands in advance based on the trend of moving door opening changes, and automatically switches between working and standby
modes based on personnel presence; a collaborative scheduling module that interacts bidirectionally with the
building management system and other fume hoods to collaboratively adjust the control strategies of each
fume hood; and an execution and update module that drives the actuators and collects feedback status, triggers alarms or emergency exhaust when abnormal conditions are detected, and feeds back the abnormal events to the
intelligent control decision module to update the model rule base. This
system achieves predictive adjustment of
fume hood face velocity, multi-condition
adaptive optimization, multi-hood collaborative scheduling, and closed-loop self-updating.