The invention discloses an intelligent monitoring method and
system for
beekeeping, and the method comprises the steps: collecting the
internal temperature and
humidity data of a
beehive, the
weight change data of a swarm, and the audio
stream of entering and exiting a hive entrance in real time, and generating a
beehive basic state
data set; based on the basic state
data set of the
beehive, extracting a daily
net weight gain value and the number of continuous unchanged days, meanwhile, analyzing
honeycomb entering and exiting
frequency sound pulses of bees, and calculating a bee colony sound activeness index; inputting the daily
net weight gain value, the number of continuous unchanged days, the bee colony sound activeness index and the current temperature and
humidity data into a dynamic threshold
decision tree model, and outputting an abnormal state coding set; according to the abnormal state coding set, grading operation suggestions for the beehives are generated through a weighted
logical reasoning engine; conflict resolution and execution condition
verification are conducted on the grading operation suggestions, and a final
executable instruction set and a beehive state abstract report are generated. According to the embodiment of the invention, the method can improve the recognition precision and real-time performance of the abnormal state of the bee colony, and reduces the breeding risk.