The invention discloses a self-learning
Internet of Things induction lamp and a control method thereof, and belongs to the technical field of intelligent illumination. The device comprises a power supply, sensors, a
processing module, a communication module and a lighting module, data are collected through 5.8 G
radar,
infrared and
illuminance sensors, automatic networking of lamps, advancing direction recognition and multi-
sensor fusion are achieved by utilizing
DBSCAN clustering, an HMM model and a
Kalman filtering algorithm, and a dynamic lighting strategy is generated. The control method comprises the steps of
data acquisition, self-learning networking, communication interaction and
dynamic control, supports
Bluetooth Mesh and WiFi, can adaptively adjust brightness according to ambient
light intensity, illuminates as required in an induction mode, and is efficient and energy-saving in a
sleep mode. The
system solves the problems of
high energy consumption, complex debugging and the like of traditional illumination, has the advantages of debugging-free rapid deployment, more than 70% of energy saving rate, high distributed reliability and the like, is suitable for scenes such as garages and corridors, and realizes intelligent upgrading of the illumination
system.