The invention relates to the technical field of smart home and health management, in particular to a method for identifying daily unhealthy living habits, which comprises a
data acquisition layer, a
data processing and analysis layer and an
application layer. The
data acquisition layer comprises an intelligent socket, a
human body infrared detector, a sleep sensor, a door magnetic opening and closing sensor, a hygrothermograph, a water sensor, an air quality
detector, a closestool flushing
detector, an SOS button and an intelligent night lamp; the intelligent socket, the
human body infrared detector, the sleep sensor, the door magnetic opening and closing sensor, the hygrothermograph, the water sensor, the air quality detector, the closestool flushing detector, the SOS button and the intelligent night lamp are installed at the corresponding positions in a
living room, a horizontal room, a kitchen, a dining room and a bathroom in a matched mode respectively. By fusing data of a plurality of
Internet of Things sensors, a
system capable of automatically identifying, analyzing and early warning specific unhealthy living habits is constructed, so that active management of user behavior health is realized.